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Prologue
(2024)
Does the legal eradication of illicit crops in Colombia negatively impact the human rights of rural social groups living in the surrounding areas? Furthermore, can political and legal experiences of Germany contribute to this discussion? If you find these questions compelling, please keep reading. Through a set of papers, this section addresses the intricate relationship between human rights and the various policies that Colombian governments have implemented over the last few decades to eradicate illicit crops, in particular the coca plant.
This article aims to provide a concise yet comprehensive overview of the evolution of human rights and the Sustainable Development Goals (SDGs), tracing their historical development to the ongoing monitoring initiatives today. As we delve into the core of the discussion, a critical examination will be conducted to assess the alignment between the SDGs and human rights. The focal point will be a nuanced exploration of whether these two frameworks are in sync or if there are discernible deviations and potential conflicts of goals between them. To facilitate a more in-depth analysis, the SDGs will be systematically categorized into distinct clusters, enabling a clearer illustration of their compatibility or divergence from human rights principles. By breaking down the SDGs into specific thematic areas, we aim to shed light on both the areas where alignment is evident and those where disparities with human rights may exist. This comparative approach seeks to enhance our understanding of the interconnectedness and potential tensions between the SDGs and human rights. Moreover, the exploration will not only highlight the points of convergence but also delve into the complexities of ensuring a harmonious coexistence between these two vital frameworks. By examining the interplay of human rights principles with the diverse goals encapsulated within the SDGs, this article endeavors to contribute to a nuanced understanding of the broader implications for global development and social justice. In summary, this expanded article aspires to offer readers a more detailed exploration of the interrelationships between human rights and the Sustainable Development Goals, navigating through the clusters of SDGs to unveil areas of agreement and potential divergence. Through this analysis, we seek to foster a deeper appreciation for the complexities of aligning diverse global goals with fundamental principles of human dignity and equality.
The following article is intended to provide an initial overview about the relationship between the United Nations Sustainable Development Goals of 2015, as well as their Universal Human Rights of 1948, and catholic healthcare in the United States of America. The aim is to show why Catholicism in the US, despite its constitutional secularity, still has a major influence on ensuring adequate health care for all citizens and where religious influence conflicts with the basic principles of the SDGs and the UN's Universal Human Rights. This is done using the example of catholic hospitals and the role of Catholicism in the field of public health.
The goal of this contribution is to provide an overview of the conceptual connections between the constructs of human rights, sustainability, and democracy, emphasizing the historically significant role of human dignity. This overview serves as an overarching introduction to the students’ articles in Chapter One, which explore selected relationships between these concepts. One main assumption of this overview is that the concept of human dignity is central to the institution of human rights, and human rights are instrumental in ensuring human dignity. Another key assumption relates to democracy, which is viewed as the framework for shaping human dignity, human rights, and sustainability. This article first focuses on the relationship between sustainability and democracy. It then analyzes the links between human dignity and human rights, followed by a discussion on the connections between human dignity and sustainability, and between human rights and sustainability. Finally, it concludes with an examination of the triangle formed by human dignity, human rights, and sustainability within the context of democracy, emphasizing the crucial roles of human agency and the rights of nature. Clarifying these links is essential for future empirical research to develop specific practical recommendations for sustainability transformation, including human rights, within a democratic context.
Already more than 50 years ago, against the backdrop of the "earth science" findings of the time, voices could be heard in the legal literature expressing concern about the planet's carrying capacity, calling for consistent political rethinking and action and explicitly questioning consumer behavior and the ongoing pursuit of economic growth. The realization that the limits of environmental resources must be respected, and that growth must be shaped effectively within this framework has therefore been omnipresent not only since the "Our Common Future" report by the "World Commission on Environment and Development", or "Brundtland Commission" for short, in 1987 (United Nations General Assembly, 1987). Nevertheless, the current planetary status quo shows that the era of environmentally friendly economic development has by no means been effectively ushered in since then; on the contrary, implementation deficits or a lack of effectiveness of environmental protection measures against the excessive use of ecological resources are to be deplored. The demand for an ecological transformation of society is one of the most urgent on the political agenda and continues then as now, albeit partly with new terminology, at the level of jurisprudence: Currently, it is discussions about intertemporal freedom rights, nature's own rights and the greening of law that dominate the picture. However, the demand for ecologically oriented protection of fundamental rights is not new: the idea of protecting nature from excessive human behavior - also with a view to the generations of tomorrow and their chances of realizing a life in freedom in the future - is reflected not least in the precautionary principle, which is internationally recognized as a legal principle. Its ecological potential will be briefly explored below, culminating in an overview of constitutional tendencies towards an ecologically oriented protection of fundamental rights from a German perspective. This overview at the same time serves as an introduction for selected legal, ethical and social aspects of case studies in Latin America done by students in the context of a Human Rights interdisciplinary seminar in Wintersemester 2023/2024.
The achievement of sustainable development hinges on safeguarding the environment, preserving natural resources, and fostering economic growth that is intricately linked with responsible resource utilization. In simpler terms, sustainable development is contingent upon maintaining environmental sustainability. Conversely, Goal 16 of the 2030 Agenda for Sustainable Development emphasizes the need for global peace, justice, and robust institutions, aiming to uphold the rule of law and facilitate access to justice on a worldwide scale. Addressing environmental conflicts is an integral facet of environmental sustainability and a crucial component of ensuring access to justice. The escalating environmental challenges stemming from the relentless growth of the global population and the insufficient global adoption of renewable energy resources have significantly impacted the environment, leading to a corresponding surge in environmental conflicts. Given the considerable diversity in the judicial systems of nations worldwide and the often inefficacious nature of these systems, there arises a pressing need to reconsider and reconstruct effective alternative dispute resolution mechanisms, especially concerning their role in environmental conflicts. However, it is essential to acknowledge that Alternative Dispute Resolutions (ADR) come with their own set of barriers and drawbacks. This paper delves into a comprehensive examination and analysis of the role played by ADR methods in addressing environmental disputes. It assesses the effectiveness of these methods and conducts research to identify the factors that contribute to their success or failure.
The challenges and opportunities of liberal democracies in promoting international value systems
(2024)
In 1948, the United Nations proclaimed the Universal Declaration of Human Rights as a guideline for the protection of human rights. Not legally binding, the declaration represents an ideal that must be promoted by those who are committed to it. Among other amendments adopted since 1948, in 1998 the General Assembly passed a declaration seeking to strengthen the responsibility and right to protect human rights. "Stressing that all members of the international community shall fulfill, jointly and separately, their solemn obligation to promote and encourage respect for human rights and fundamental freedoms for all" (UN General Assembly, 1998,) this declaration is one of the central starting points of this paper. The Universal human rights formed the basis for many subsequent international treaties and agreements, one of the most recent being the 2030 Agenda with the SDGs. The legal situation of these agreements differs greatly in terms of their binding nature and enforceability. These issues will be examined in more detail in the following parts of this publication series. However, it should be noted here that successful implementation of the written goals requires voluntary debate and implementation. In today's multicultural, international context, some countries have significantly higher financial as well as social capital to fulfill these responsibilities. Based on the assumption that many of the existing liberal democracies fulfill these criteria of higher capacities, which will be discussed again in the course of the data analysis, this paper attempts to answer the question of what special responsibilities but also what opportunities are offered in this particular position.
To begin with, the current data situation will be examined in more detail. The focus here is on the international comparison of various reference values that are relevant to the issue at hand. First, we will take a brief look at the Human Rights Index (HRI), as processed by Our World in Data, what characteristics it has in international comparison and what questions and challenges can be derived from it. We will then take a look at the 2023 Sustainable Development Report (SDR). Here, again, we will try to recognize certain patterns in the international comparison. In a second step, we will link the progress of the individual countries with the respective income level, as already shown in the SDR. In addition, we include the Democracy Index, published by The Enonomist, in our data analysis. In the final step, we use all the data to build an overall picture that allows us to see the progress of global development in our area of interest and the associated challenges. In the following step, the results of this data analysis will be combined with further research findings and the question of the responsibility of liberal democracies in an international context. The challenges but also opportunities and possible benefits of promoting human rights and SDGs will be examined in more detail. Before concluding, we will try to generalize our findings to paint a picture of the inherent resilience of human rights and SDGs.
In recent years, a paradigm shift in environmental ethics has given rise to a groundbreaking concept granting legal rights to nature itself. As the global community grapples with escalating environmental challenges, select nations have taken unprecedented steps to acknowledge nature as a subject with inherent rights, transcending the conventional view of the environment as mere property. This term paper dives into the evolving landscape of environmental jurisprudence by exploring the inclusion of nature's rights in the constitutional frameworks of Ecuador, Bolivia, New Zealand, Colombia and India. Through a comparative analysis of these distinct cases, we unravel the diverse approaches these countries have adopted to recognize and protect the rights of nature, examining the legal, cultural, and ecological implications of this transformative concept. From the constitutional enshrinement of Pachamama's rights in Ecuador to the legal personification of the Whanganui River in New Zealand, this paper sheds light on the global movement for the rights of nature and its potential impact on environmental conservation and societal harmony.
This paper delves into the human right to an adequate standard of living, a fundamental principle articulated in the Universal Declaration of Human Rights (UDHR). The specific context under examination is the livelihood of artisanal Peruvian fishermen. The inquiry centers on understanding the prevailing standard of living for these individuals and exploring avenues for its optimization in harmony with both the environment and legal frameworks. In particular, this paper aims to identify and propose solutions for enhancing the living standards and working conditions of artisanal Peruvian fishermen, aligning with the principles of human rights, environmental sustainability, and legal compliance.
The paper, written by Maxi-Mercedes Jahn, is in particular about the use of glyphosate as the unique pesticide product provided for aerial aspersion. She discusses the forced eradication of more than 800 thousand hectares of coca in Colombia in 10 years, between 2012 and 2022, while discussing the reasons behind an increase in cultivation during this period. Circumstances may be dynamic, but the lack of state presence and for an effective land distribution have been some of the determinants to this problem. In 2019, drug trafficking revenues reached 31 billion of Colombian pesos, or 2.9 percent of the GDP. The business has remained healthy and thriving. Yet, the glyphosate supporters remain firm. Literature review reveals a lack of significant scientific debate on the efficacy of glyphosate as the best method for eradicating coca plantations. The use of glyphosate raises not only environmental concerns but also geopolitical issues, affecting conflict resolution and peacebuilding attempts. Coca cultivation is a viable business, it offers benefits such as more frequent harvests and reliable markets, enabling farmers to improve their income and living conditions in a relatively short term. Unlike other crops, coca does not require formal and legal export market. For example, while 14 kilos of Chontaduro (palm tree fruit) earn about 30 thousand Colombian pesos, a kilo of coca paste can cost 2 million pesos. This disparity highlights why substitution schemes are ineffective when drug revenues far exceed legal alternatives. The author’s insights into these often-overlooked factors contribute significantly to the discussion. She also addresses the Colombia-FARC peace agreement, which included comprehensive crop substitution policies, but progress has been minimal. It can even be said that increase in coca cultivation directly correlates with unmet agreement commitments. As well as other issues that are highlighted in the paper. The author notes that cartels have developed new methods to produce more cocaine with fewer plants, complicating government efforts. It also discusses the impact of technological advancements and the political complexities behind eradication policies. Back to the glyphosate issue, which it thorough in the paper, it mentioned that glyphosate negatively impacts that are usually not reported in mainstream media, like destroying soil organisms such as bacteria, fungi, and mycorrhizae, which are crucial for soil health and fertility. Farmers have reported adverse effects from glyphosate, including skin irritations that lead to permanent scars and vision problems. Reports also indicate that some farmers were mistakenly targeted during glyphosate applications, leading to the loss of their crops and livelihoods. This discussion underscores how the use of glyphosate, while intended for public health purposes, infringes on human rights and affects the lives of those in the impacted areas. Finally, the author makes a really interesting survey through the German Basic Law referring a few lessons for the Colombian case. The constitution orders the state to protect natural resources and life through prevention of harm, defense against threats, and risk assessment. The author highlights the balloon effect, linking deforestation, cattle ranching, coca production, violence, and displacement. More interestingly, she describes how glyphosate use exacerbates soil exhaustion and raises agricultural costs due to increased fertilizer and pesticide use. Additionally, she provides compelling information stating that spraying one hectare of coca can cost more than 50 thousand Colombian pesos, suggesting deeper issues, such as the influence of glyphosate producers in the overall transaction. The author concludes that broader goals of social justice, environmental stewardship, and sustainable rural development are needed. However, the discussion leaves unresolved questions about the environmental impact of glyphosate use. It emphasizes that the relationship between communities and their environment is complex, involving diverse, interdependent processes that go beyond the immediate effects of eradication efforts.
In the article, Cara-Maxine Heyd examines the complex relationship between USA war on drug policies and their impact on human rights for Colombia. It reflects on today’s relevance of the Universal Declaration of Human Rights (1948) as a framework for identifying and defining human rights. The article briefly addresses the use of glyphosate against coca plantations and the Colombia-U.S. Free Trade Agreement. It presents data on the historical growth of coca plantations and describes the affected social groups and regions, including peasant communities and deforested areas. She examines how various strategies to control coca cultivation, including aerial spraying with glyphosate, have impacted human rights, particularly the right to adequate living conditions. The use of glyphosate has affected over 100 thousand hectares, impacting numerous social groups, including landless peasants, indigenous peoples, and displaced communities by the internal conflict. The negative effects extend beyond health and livelihood, exacerbated by the illegality and social stigma associated with coca cultivation, which complicates institutional responses. Subsequently, the author explores how several human rights are impacted by eradication schemes related to coca cultivation. For the right to work, peasant growers, as the initial link in the cocaine value chain, face significant challenges. Government plans should focus on creating alternative job opportunities and supporting transitions to other products, including setting minimum wages and providing basic access to institutional benefits. Similarly, the right to food is compromised as new generations of peasants, born during the coca boom, have neglected traditional farming practices, leading to a loss of traditional agricultural practices and techniques agricultural. For the right to health and human dignity, glyphosate use exacerbates health issues and impacts non-coca crops, affecting food sovereignty and security. The author notes that glyphosate, classified as “possibly carcinogenic” by the World Health Organization, has been controversially used due to political rather than scientific evidence, which could trigger a humanitarian crisis. Lastly, the right to cultural life is affected by the marginalization of traditional coca use, which holds significant traditional and spiritual value in the Andean region. Traditional practices must be aligned to modern policies. This article also discusses the German constitutional right to a minimum subsistence level, which is consistent with human dignity. She explains the rationality behind this assimilation and provides context, also demonstrating how doctrine development and research conducted in different geographies can enhance the rights’ scope of protection. Therefore, coca peasants should be acknowledged as victims? The author response to this question from the decent standard of living perspective, offering an interesting approach to this communities’ situation. The author’s literature review and institutional sources detail the ambiguous legal status of coca globally and critique the reward-based system. She left several open windows to continue the investigation about where this situation is taking Colombia and the International community.
With her paper "Artisanal fisheries in circumstances with political framework and co-management" Dorothea Hensing discusses the high productivity of pelagic fish in the Humboldt Current Large Marine Ecosystem (HCLME) and how it is impacted by factors such as acidification and oxygen depletion due to global warming. This ecosystem, rich in marine life, faces significant challenges exacerbated by extreme weather events like El Niño and La Niña, profoundly impact the livelihoods of artisanal fishermen, creating economic instability. Despite these adversities, artisanal fisheries remain crucial contributors to Peru‘s GDP. However, their sustainability and financial stability are compromised by various factors, including the lack of institutional support and the prevalence of informal practices within the industry. Informality permeates aspects such as labor relations and vessel construction, consequently affecting workers' rights, their financial stability and rendering them vulnerable. Fishing communities, such as the one in Chorillos, are complex socio-ecological systems reliant on social capital, but they are susceptible to external influences. Political dimensions further complicate the scenario, necessitating the establishment of effective co-management mechanisms, artisanal fisheries' inclusion in decision-making processes, a comprehensive understanding of ecosystem threats, and policy reforms to address informality. The author demonstrates the importance of strengthening governance and decision-making processes to address institutional flaws and protect the marine ecosystems and livelihoods of artisanal fishermen in Peru.
When we want to understand why the laws of nature and nature itself are currently in such bad condition, we need to look at our way of seeing the world. When we want to stop the rapid deforestation, climate change, mass extinction, and other catastrophic impacts we have on our environment, we need to figure out at what time and why they started. There are fundamental differences between an anthropocentric worldview, where humans are above all other species, and an animist worldview, where humans are a part of nature. Due to people acting accordingly to their perception of the world, we need to understand why these perceptions differentiate so much and why people from the imperial core, respectively, the exploiting countries, think in a hierarchical pattern. Our disconnectedness from nature has reached a shocking extent. People living in big cities see nothing but concrete and cars; the plants they have in their homes are made out of plastic; and the only time they see animals is when they go to a zoo, where they are crammed in little enclosures and alienated from their natural habitat. Children growing up these days spend more time watching ads on TV or social media than they spend in nature. No wonder that many people know more brands than tree species, despite the fact that just one of those two keeps them alive. It is high time to question this development and to ask ourselves how we ended up here. Interestingly, there are still elements of a human-nature relationship visible in our modern capitalist society. Some people see their dog or cat as part of the family and talk to them; others care for plants as well as they do for their own children. And even in movies, a world is a portrait where the birds talk to the people and plants are alive. Therefore, the idea of nature being alive rather than just some material resource still prevails in our subconscious and in our fantasy to this day. The first part of this paper portrays our current perspective on nature and how it developed. From Plato’s Allegory of the Cave to the scientific revolution initiated by Francis Bacon and the dualism founded by Descartes, many theories influenced our perception of the world. The term Anthropocene is widespread, but it is rarely discussed or narrowed down when used. It will be discussed and elaborated on how the rise of capitalism is related to the accelerating exploitation of nature. The second part is about defining animism, the initial view of humans as a part of nature, which is still prevalent in indigenous culture. Cartesian dualism will be challenged, and other philosophical theories will be examined. The concept and theory of ecological feminism are going to be introduced, and the underlying analyses will be conducted in the context of animism. Our perception of nature will be debunked, and strong advocacy will be made for a more sustainable human-nature relationship.
Over forty years ago, physicist and deep ecologist Capra indicated: "Ecosystems sustain themselves in a dynamic balance based on cycles and fluctuations, which are nonlinear processes. Linear enterprises, such as indefinite economic and technological growth will necessarily interfere with the natural balance and, sooner or later, will cause severe damage. Ecological awareness, then, will arise only when we combine our rational knowledge with an intuition for the nonlinear nature of our environment. Such intuitive wisdom is characteristic of traditional, non-literate cultures, [...] in which life was organized around a highly refined awareness of environment." Since then, natural ecosystems are being pushed beyond their limits with human societies confronting unprecedented challenges like climate change, species extinctions and pollution. Various approaches like ecological restoration, conservation, renewable energies and car sequestration have been deployed to tackle the global ecological crisis. Yet, a crucial element remains largely overlooked: integrating local and traditional ecological knowledge as well as indigenous perspectives with modern western science to foster environmentally sustainable solutions. This student research paper explores how the concept of traditional ecological knowledge is defined in science, law and policy literatures and what contribution place-based communities such as the artisanal fishery of Chorrillos can serve for improving cooperative environmental and natural resources management. The method applied aims to evaluate existing literature, synthesizing ideas, and critically analyzing the status quo. Subsequently, the paper will provide recommendations for integrating ecological traditional knowledge in legal frameworks and practice through sound policy aimed at sustainable development.
Coca Cultivation in Colombian Economy – Considering the 2007 US-Colombian Free Trade Agreement
(2024)
According to the overarching theme "Should something happen somewhere else that we don't want to have here?", this research paper deals with the extended question "How does the 2007 free trade agreement between Colombia and the USA affect the situation in Colombia?". Focusing on the aspect of coca cultivation this paper is framed by the question of projecting the situation in Colombia onto the situation in Germany. Universal human rights are the unifying force between Colombia in Latin America and Germany in Central Europe. Through the United Nations Declaration, these rights have universal validity regardless of national or ethnic affiliation. These rights apply to all countries of the world, including Colombia. The situation of the population regarding the economic and ethical components is illuminated on the basis of coca cultivation. Starting with the topic of coca cultivation, the challenges and interests by groups of people involved are described. The Colombian economy is then examined in order to classify the importance of this topic. The topic of the "free market" is a very relevant one, particularly regarding the economic component and can be supported by free trade agreements. This means that the domestic economy is not only restricted to its own sales market without regulation but is also largely extended to other partner countries. In terms of market liberalization, this would also be relevant for coca distribution. Thus, opening to other markets at the direct level is an export opportunity, but also at the indirect level. Exports can also be expanded via third countries. However, national governments are also responsible for this process. Therefore, this paper also explains the role of Colombian politics in coca cultivation, as it has a significant role in the cultivation and trade of the coca plant as well as in external economic relations. Furthermore, the paper attempts to construct a possible solution to improve the living situation of the people in Colombia. The factors of the economy, politics, foreign policy and the relationships between the individual actors are considered in order to arrive at a solution that is as balanced as possible, taking into account the norms of human rights.
Rights for Nature in Germany
(2024)
In the last decades, the development of the rights of nature has become a significant issue in various parts of the world. This emerging approach views nature not only as a resource for human use, but as a value in its own right that must be protected and respected. Over the last years the discussion about a rights for nature have also increased in Germany. This paper takes a look at the current state of the debate on natural rights in Germany. The first part gives an overview about the current status of natural rights all over the world. The second part deals with the rights of nature in Germany and how these have developed in recent years, for example through the citizens' initiative in Bavaria, which addresses the rights of nature and makes them the subject of a referendum. The third part deals with the decision of the Federal Constitutional Court. This decision in March 2021 on the issue of climate protection marked a significant milestone in the context of the global climate crisis and finally the class action lawsuit.
The following collection of manuscripts emerged from an international and interdisciplinary Virtual Exchange that took place during Covid-19 Pandemic in March/April 2021 organised by Prof. Milena Valeva and Prof. Kathrin Nitschmann. Covid 19 had -and still has in parts of the world- led to severe restrictions of fundamental liberties worldwide and thus enhanced debates on ethics and human rights. This debate appeared as a common denominator connecting citizens in countries all over the world. One of the concrete consequences for students was certainly the reduction of mobility, not only in the sense of not being allowed to visit the university but also in canceling planned international exchanges. In this context, the virtual exchange offered a chance not only to overcome the still lasting restrictions on mobility but also to exchange daily life experiences of students in Covid-times, merging into restrictions and/or violation of human rights in a legal and ethical dimension. Students from Peru, Israel and Bulgaria participated in the virtual exchange, which was supported by the International Teaching Award of Trier University of Applied Sciences, within the frame of of a summer school and had the opportunity to work synchronously and asynchronously in international and interdisciplinary teams on the topic COVID-19 - ETHICAL DILEMMAS AND HUMAN RIGHTS - EXPLORING INTERNATIONAL DIMENSIONS. Colleagues from Cape Town, Peru, Spain and Israel supported the event by their professional presentations. This special issue and at the same time first issue of the JOURNAL OF INTERNATIONAL AND DIGITAL COMMUNICATION: SUSTAINABILITY PERSPECTIVES is a collection of the manuscripts of the speakers, which at the same time reflects the diversity of the topics discussed and the international perspectives. Since this is a compilation of manuscripts, the authors were responsible for the scientific formulation of the texts.
Content:
Letlhokwa George Mpedi:
Freedom of trade, occupation and profession in times of the COVID-19 pandemic in South Africa
Larissa Glidja-Yao:
Impact of COVID-19 on company & insolvency law: An overview of Luxemburgish responses
Kathrin Nitschmann:
On the development of compulsory vaccation in Germany in the interplay between general health protection and individual self-determination - a never-ending story?
Diego Zegarra Valdivia:
The use of technological tools in the fight against COVID-19 & its implications on the fundamental right to the protection of personal data - an approach
José Joaquín Fernández Alles:
Human rights in the new pact on migration on [and] asylum of European Union: An open society or closed society
Milena Valeva & Yotam Lurie:
Spinning ethical plates in times of pandemic and sustainability
The following collection of manuscripts emerged from an interdisciplinary virtual exchange held during the Winter semester of 2023/2024 at the Environmental Campus Birkenfeld, organized by Prof. Dr. Milena Valeva and Prof. Dr. Kathrin Nitschmann. Additionally, Prof. Dr. Héctor Bombiella Medina, a lecturer of anthropology in the Department of World Languages and Cultures at Iowa State University, contributed to the virtual exchange and supervised case studies 3 and 4, bringing his extensive experience in this field and facilitating the international exchange. Within the elective module on Human Rights, students from the Bachelor's programs "Nonprofit and NGO Management" and "Environmental and Business Law," as well as the Master's program "Energy and Corporate Law," explored the interconnections between human rights and sustainability.
In an era marked by unprecedented environmental challenges and profound social transformations, the intersection of human rights and the rights of nature has emerged as a critical area of inquiry and debate. Today, as we face the dual crises of climate change and biodiversity loss, the traditional boundaries between human and environmental rights are increasingly blurred. This confluence demands a fresh, interdisciplinary approach to understanding and addressing the complex and interrelated issues at hand. Human rights, fundamental to the dignity and freedom of individuals, are deeply impacted by environmental degradation. Communities worldwide are experiencing firsthand the devastating effects of polluted air, contaminated water, and deforested landscapes, all of which undermine basic human rights to health, livelihood, and well-being. Conversely, recognizing the rights of nature — the intrinsic value of ecosystems and species — challenges us to reconsider our legal, ethical, and philosophical frameworks. It calls for a paradigm shift from a view to one that embraces the interconnectedness of all life forms. Engaging in robust discussions and research on these topics is essential in today's context. By exploring interdisciplinary perspectives, we can forge innovative solutions that honor both the rights of individuals and the integrity of nature. This special issue aims to contribute to this vital discourse, providing insights and fostering dialogue on how we can collectively navigate the complex landscape of human rights and environmental sustainability.
The first chapter „Human rights and SDGs in the context of democracy“ examines the significance of international human rights in today's context and links them to new value systems like sustainability. The second chapter, the case study „Rights of Nature“ explores the concept of granting legal rights to nature itself by comparing laws from various countries to show how it combats environmental exploitation. The third chapter, the case study „Traditional coca leaf consumption and drug trafficking in Colombia“ delves into the complex issues surrounding coca cultivation in Colombia, highlighting its economic, social, and political impacts. The fourth chapter, the case study „The artisanal fishing community of Chorrillos, Peru“ aims to provide theoretical insights and recommendations for improving the livelihoods of artisanal fishing communities in Peru, considering legal, ethical, and environmental perspectives as well as how economic liberalization, privatization, and deregulation affect the community's socio-economic conditions.
Content:
CHAPTER 1 - Conceptual: Human rights and SDGs in the context of democracy
Milena Valeva:
From Human Dignity and Human Rights to Sustainability within the context of Democracy
Yannick Sebastian Wagner:
The relationship between the SDGs, human rights, and Catholicism in the United States, on health-related issues
Christine Wetter:
Comparison of Human Rights and Sustainable Development Goals
Jacob Mayer:
The challenges and opportunities of liberal democracies in promoting international value systems
Pauline Nicolay:
Effective conflict resolution through ADRs: opportunities, challenges and applications in different contexts
CHAPTER 2 - Case Study: Rights of Nature
Kathrin Nitschmann:
Ecology and the protection of fundamental rights: status quo and development potential in the light of the precautionary principle"
Johannes Hagemann:
Decoding the Environmental Crisis: A Historical Analysis of Human-Nature Relationships
Sahar Mallak:
Rights for Nature in selected states
Nergiz Dogan:
Rights for Nature in Germany
CHAPTER 3 - Case Study: Traditional coca leaf consumption and drug trafficking in Colombia
Héctor Andrés Bombiella Medina:
Prologue
Cara-Maxine Heyd:
Affected Human Rights by the destruction of coca plantations
Maxi-Mercedes Jahn:
Glyphosat[e] use in line with the peace policy Colombia
Daniel Förster:
Coca Cultivation in Colombian Economy – Considering the 2007 US-Colombian Free Trade Agreement
CHAPTER 4 - Case Study: The artisanal fishing community of Chorrillos Peru
Dorothea Hensing:
Artisanal fisheries in circumstances with political framework and comanagement
Nina Giordano:
Traditional ecological knowledge – a key element of sustainable development
Yasmin Krami:
Strategy to promote the Human Right to an adequate standard of living for Peruvian artisanal fishers according to Article 25 of the Universal Declaration of Human Rights
Deep learning-based image registration (DLIR) has been widely developed, but it remains challenging in perceiving small and large deformations. Besides, the effectiveness of the DLIR methods was also rarely validated on the downstream tasks. In the study, a multi-scale complexity-aware registration network (MSCAReg-Net) was proposed by devising a complexity-aware technique to facilitate DLIR under a single-resolution framework. Specifically, the complexity-aware technique devised a multi-scale complexity-aware module (MSCA-Module) to perceive deformations with distinct complexities, and employed a feature calibration module (FC-Module) and a feature aggregation module (FA-Module) to facilitate the MSCA-Module by generating more distinguishable deformation features. Experimental results demonstrated the superiority of the proposed MSCAReg-Net over the existing methods in terms of registration accuracy. Besides, other than the indices of Dice similarity coefficient (DSC) and percentage of voxels with non-positive Jacobian determinant (|J(phi)|=<0), a comprehensive evaluation of the registration performance was performed by applying this method on a downstream task of multi-atlas hippocampus segmentation (MAHS). Experimental results demonstrated that this method contributed to a better hippocampus segmentation over other DLIR methods, and a comparable segmentation performance with the leading SyN method. The comprehensive assessment including DSC, |J(phi)|=<0, and the downstream application on MAHS demonstrated the advances of this method.
A systemic framework of energy efficiency in schools: Experiences from six European countries
(2023)
Schools are complex physical and social institutions within national education systems. They account for significant energy consumption and like other buildings can demonstrate inefficient patterns of energy use. Poor energy performance of educational facilities is an intricate issue driven by complex causality of interconnected and dynamic factors. Addressing this issue requires a systemic approach, which is heretofore lacking. The aim of this research is to present and describe a systemic framework to facilitate energy reduction in schools across different European contexts. This transdisciplinary approach to sustainable energy use has been piloted in 13 post-primary schools located in six countries in northwest Europe. The research implements a series of planned activities and interventions, which help to unveil a systemic approach to improving energy efficiency in schools. The findings demonstrate how this approach, together with its ensuing methodologies and strategies, can contribute to reducing carbon emissions and improve knowledge and awareness around sustainable energy.
Small area estimation methods have become a widely used tool to provide accurate estimates for regional indicators such as poverty measures. Recent research has provided evidence that spatial modelling still can improve the precision of regional and local estimates. In this paper, we provide an intrinsic spatial autocorrelation model and prove the propriety of the posterior under a flat prior. Further, we show using the SAIPE poverty data that the gain in efficiency using a spatial model can be essentially important in the presence of a lack of strong auxiliary variables.
Model transformations are central to model-driven software development. Applications of model transformations include creating models, handling model co-evolution, model merging, and understanding model evolution. In the past, various (semi-)automatic approaches to derive model transformations from meta-models or from examples have been proposed. These approaches require time-consuming handcrafting or the recording of concrete examples, or they are unable to derive complex transformations. We propose a novel unsupervised approach, called Ockham, which is able to learn edit operations from model histories in model repositories. Ockham is based on the idea that meaningful domain-specific edit operations are the ones that compress the model differences. It employs frequent subgraph mining to discover frequent structures in model difference graphs. We evaluate our approach in two controlled experiments and one real-world case study of a large-scale industrial model-driven architecture project in the railway domain. We found that our approach is able to discover frequent edit operations that have actually been applied before. Furthermore, Ockham is able to extract edit operations that are meaningful—in the sense of explaining model differences through the edit operations they comprise—to practitioners in an industrial setting. We also discuss use cases (i.e., semantic lifting of model differences and change profiles) for the discovered edit operations in this industrial setting. We find that the edit operations discovered by Ockham can be used to better understand and simulate the evolution of models.
The Saarschleife geotope (SE-Germany) represents one of the most prominent geotopes of the SaarLorLux region and is known far beyond the borders of the Greater Region. Surprisingly, there is no visual representation of the relief history and genesis of this river meander, which is unique for Central Europe - as is common at places with comparable outstanding phenomena, such as e.g. the Rocher Saint-Michel d'Aiguilhe (France) or some national parks in the U.S. (e.g. Grand Canyon). The Saarschleife geotope therefore was choosen as a pilot object for the envisaged analysis of the landscape genesis but also regarding the 3D mapping and visualization. The visualisation presents the relief history and geological evolution of the last 300 million years in selected geological epochs, which are of fundamental importance for the understanding of today's geomorphological relief conditions, and is compiled into a summarized chronology.
Terrestrial cyanobacteria grow as phototrophic biofilms and offer a wide spectrum of interesting products. For cultivation of phototrophic biofilms different reactor concepts have been developed in the last years. One of the main influencing factors is the surface material and the adhesion strength of the chosen production strain. In this work a flow chamber was developed, in which, in combination with optical coherence tomography and computational fluid dynamics simulation, an easy analysis of adhesion forces between different biofilms and varied surface materials is possible. Hereby, differences between two cyanobacteria strains and two surface materials were shown. With longer cultivation time of biofilms adhesion increased in all experiments. Additionally, the content of extracellular polymeric substances was analyzed and its role in surface adhesion was evaluated. To test the comparability of obtained results from the flow chamber with other methods, analogous experiments were conducted with a rotational rheometer, which proved to be successful. Thus, with the presented flow chamber an easy to implement method for analysis of biofilm adhesion was developed, which can be used in future research for determination of suitable combinations of microorganisms with cultivation surfaces on lab scale in advance of larger processes.
Science on ecosystems and people to support the Kunming-Montreal Global Biodiversity Framework
(2023)
In December 2022, members of the Convention on Biological Diversity adopted the new Kunming-Montreal Global Biodiversity Framework (GBF) to guide international biodiversity conservation efforts until 2030 in order to be able to live ‘in harmony with nature’ by 2050. This framework addresses the implementation gap left after the Aichi Biodiversity Targets, which were the previous global instrument for mainstreaming biodiversity conservation between 2010 and 2020.
The aim of this editorial is to draw attention to the GBF targets that are most relevant to our readership, with two objectives: First, to suggest how Ecosystems and People may be a venue for emerging research insights in support of the GBF. Second, to highlight examples of recent research in Ecosystems and People that can contribute to enrich, or even challenge, the evidence and development of the GBF Targets.
Background: Physiotherapy education and practice have country-specific peculiarities which may limit globalization in health care. This study aimed to characterize physiotherapy practice and treatment preferences, educational qualifications, and research in Nigeria, with a view of providing vital information for transnational integration and collaboration.
Methods: A cross-sectional survey of 104 Nigerian physiotherapists was conducted. The Physical Therapy Practice Questionnaire and a self-developed proforma were used as survey tools.
Results: The mean age of respondents was 33.5 ± 9.4 years. About two-fifth of all respondents (39.4%) had an MSc and mostly practice as clinicians (51.0%) in teaching hospitals (34.6%). The respondents were mostly involved in general practice (50.0%), with a caseload of 1–10 patients per day (67.3%). Soft tissue mobilization (83%), proprioceptive neuromuscular facilitation (76%), breathing exercises (77%), and transcutaneous electrical neuromuscular stimulation (83%) were commonly used. Respondents were familiar databases and evidence-based resources (81.2%) and mostly utilize PubMed (73.3%). Regular case conferences with professional colleagues (47.6%) and treatment planning of between 11 and 30 min (40.6%) were common. Educators spend 1–3 h planning educational work (91.8%). Clinical decision-making is mostly based on professional experience, while journals are the primary resource for educational information.
Conclusion: Physiotherapy practice in Nigeria is degree based and requires registration board’s licensure. Practitioners deal with a high caseload and utilize a wide range of techniques and modalities and have tendencies to utilize personal experience and research in making clinical decisions. The parity in education and practice with advanced climes inadvertently gives physiotherapy practice in Nigeria a global purview.
1. Woody riparian vegetation (WRV) benefits benthic macroinvertebrates in running waters. However, while some functions are provided by WRV irrespective of surrounding and catchment land use, others are context-specific. In recent large-scale studies, effects of WRV on macroinvertebrates were therefore small compared to catchment land use, raising the question about the relevance of WRV for restoration.
2. Model-based recursive partitioning was used to identify context-dependent effects of WRV on the macroinvertebrates' ecological status in small (catchment area 10–100 km2) lowland (n = 361) and mountain (n = 748) streams. WRV cover was quantified from orthophotos along the near (500 m) and far (5000 m) upstream river network and used to predict the site's ecological status. Agricultural, urban and woodland cover at the local and catchment scales along with hydromorphology were considered as partitioning variables.
3. In rural agricultural landscapes, the effect of WRV on the ecological status was large, indicating that establishing near-upstream WRV can improve the ecological status by as much as two of the five classes according to the EU Water Framework Directive.
4. Even in urban landscapes, effects of far-upstream WRV were large if catchments had a moderate share of agricultural land use in addition. The beneficial effects of WRV were only limited in purely urban catchments or in a multiple stressor context.
5. Synthesis and applications. While woody riparian vegetation (WRV) can even improve the ecological status in urban settings, it is especially relevant for river management in rural agricultural catchments, where developing WRV potentially are effective measures to achieve good ecological status.
The objective of the German non-profit association NFDI (German short form for ”National Research Data Infrastructure”) is to make the data stock of the entire German science system accessible to the public. To do so, it should involve all stakeholders. However, currently the Universities of Applied Sciences (UAS) are underrepresented in the NFDI, and there is a danger of neglecting their needs. Therefore, we present the project ”Research Data Management at Universities of Applied Sciences in the State of Rhineland-Palatinate” (FDM@HAW.rlp), which is funded by the German Federal Ministry of Education and Research (BMBF) and financed within the Recovery and Resilience Facility of the European Union. In the project, seven public UAS in Rhineland-Palatinate and the Catholic University of Applied Sciences (CUAS) Mainz follow a common goal: They intend to establish an institutional RDM within a period of three years by building up competencies at the UAS, setting up services for researchers and finding solutions for a common technical infrastructure.
In 2020, a year of turbulence, seismic in scale and rapid in impact, luxury brands strengthen their relationship with art. While the world is still processing the effects of the last decades (digitalization, sustainability, diversity), luxury brands and art collaborations are used as a strategic tool in luxury brand management to create value. As the pandemic and broader social outrage exposed fault lines in society, even more luxury brands open flagship stores designed in collaboration with archistars (famous architects). Luxury brands establish foundations where art is exhibited and promoted. Culture funds become the new patrons of art. Limited art editions of iconic luxury products turn to revenue boosts. This research focuses on a case study of luxury brand and art collaborations. The ten most valuable luxury brands are used to analyze luxury brand and art collaborations as a leverage on brand equity and art(ist) equity. The bleeding of personal luxury good brands as well as contemporary visual arts are focused. The study identifies particularly positive effects deriving from art in the creation of equity value. The core issue discussed is whether contemporary art may represent a possible strategic tool for competing and differentiating in the global luxury industry up to 2030. The research investigates two main concepts that represents the theoretical framework: art and luxury. Literature research deductively links this case study with appropriate theories on brand equity and art(ist) equity. During this, a time horizon between 2019 and 2021 is chosen to address the latest insights in luxury brands and art collaborations. The topic is investigated explorative and qualitative with expert interviews. To tackle the research topic all-encompassing, the following groups of recognized stakeholders have been interviewed: (1) luxury brands, (2) artists, (3) art galleries, (4) trend and market researchers, (5) luxury customers and (6) city. Finally, managerial insights on the implementation of artistic collaborations are derived and suitable strategies for luxury brands who plan to be involved in such collaboration agreements are suggested. The sticking point in former academic research has always been concrete proof that luxury brands and art collaborations lead to an increase in equity beyond a short-term social media buzz or press coverage. This is the reason why this paper develops an S-O-R equity model to show the causality effects of such collaborations.
Die Umbenetzungsagglomeration bietet die Möglichkeit einer Trennung nach zwei Partikeleigenschaften. Hierbei wird nach den Benetzungseigenschaften des Feststoffs in Bezug zur Suspensions- und Bindeflüssigkeit getrennt und nach der Größe. Ziel dieser Arbeit ist, die Reinheit der entstehenden Graphitagglomerate in einer Mischung mit Quarzsand gravimetrisch zu bestimmen und diese mit den Benetzungseigenschaften zu korrelieren. Die Güte dieser Ergebnisse wird mit einer Mikroröntgentomographie (µ-CT) untersucht. Es konnte gezeigt werden, dass sich Quarzsand mit Paraffinöl nicht benetzen lässt und somit Reinheiten von 99,5 % bis 99,9 % erreicht werden, was das Ergebnis der µ-CT bestätigt. Einen Einfluss der Partikelgröße des Quarzsandes konnte im untersuchten Bereich nicht bestätigt werden.
Owing to a long history of anthropogenic pressures, freshwater ecosystems are among the most vulnerable to biodiversity loss1. Mitigation measures, including wastewater treatment and hydromorphological restoration, have aimed to improve environmental quality and foster the recovery of freshwater biodiversity2. Here, using 1,816 time series of freshwater invertebrate communities collected across 22 European countries between 1968 and 2020, we quantified temporal trends in taxonomic and functional diversity and their responses to environmental pressures and gradients. We observed overall increases in taxon richness (0.73% per year), functional richness (2.4% per year) and abundance (1.17% per year). However, these increases primarily occurred before the 2010s, and have since plateaued. Freshwater communities downstream of dams, urban areas and cropland were less likely to experience recovery. Communities at sites with faster rates of warming had fewer gains in taxon richness, functional richness and abundance. Although biodiversity gains in the 1990s and 2000s probably reflect the effectiveness of water-quality improvements and restoration projects, the decelerating trajectory in the 2010s suggests that the current measures offer diminishing returns. Given new and persistent pressures on freshwater ecosystems, including emerging pollutants, climate change and the spread of invasive species, we call for additional mitigation to revive the recovery of freshwater biodiversity.
This research conducted a probabilistic life-cycle assessment (pLCA) into the greenhouse gas (GHG) emissions performance of nine combinations of truck size and powertrain technology for a recent past and a future (largely decarbonised) situation in Australia. This study finds that the relative and absolute life-cycle GHG emissions performance strongly depends on the vehicle class, powertrain and year of assessment. Life-cycle emission factor distributions vary substantially in their magnitude, range and shape. Diesel trucks had lower life-cycle GHG emissions in 2019 than electric trucks (battery, hydrogen fuel cell), mainly due to the high carbon-emission intensity of the Australian electricity grid (mainly coal) and hydrogen production (mainly through steam–methane reforming). The picture is, however, very different for a more decarbonised situation, where battery electric trucks, in particular, provide deep reductions (about 75–85%) in life-cycle GHG emissions. Fuel-cell electric (hydrogen) trucks also provide substantial reductions (about 50–70%), but not as deep as those for battery electric trucks. Moreover, hydrogen trucks exhibit the largest uncertainty in emissions performance, which reflects the uncertainty and general lack of information for this technology. They therefore carry an elevated risk of not achieving the expected emission reductions. Battery electric trucks show the smallest (absolute) uncertainty, which suggests that these trucks are expected to deliver the deepest and most robust emission reductions. Operational emissions (on-road driving and vehicle maintenance combined) dominate life-cycle emissions for all vehicle classes. Vehicle manufacturing and upstream emissions make a relatively small contribution to life-cycle emissions from diesel trucks (<5% each), but these are important aspects for electric trucks (5% to 30%).
This study aimed to investigate whether neurological patients presenting with a bias in line bisection show specific problems in bisecting a line into two equal parts or their line bisection bias rather reflects a special case of a deficit in proportional reasoning more generally. In the latter case, the bias should also be observed for segmentations into thirds or quarters. To address this question, six neglect patients with a line bisection bias were administered additional tasks involving horizontal lines (e.g., segmentation into thirds and quarters, number line estimation, etc.). Their performance was compared to five neglect patients without a line bisection bias, 10 patients with right hemispheric lesions without neglect, and 32 healthy controls. Most interestingly, results indicated that neglect patients with a line bisection bias also overestimated segments on the left of the line (e.g., one third, one quarter) when dissecting lines into parts smaller than halves. In contrast, such segmentation biases were more nuanced when the required line segmentation was framed as a number line estimation task with either fractions or whole numbers. Taken together, this suggests a generalization of line bisection bias towards a segmentation or proportional processing bias, which is congruent with attentional weighting accounts of line bisection/neglect. As such, patients with a line bisection bias do not seem to have specific problems bisecting a line, but seem to suffer from a more general deficit processing proportions.
The research program “Engineered Artificial Minerals (EnAM)” addresses the challenge of recycling valuable elements from battery waste streams. These elements, such as lithium (Li), often migrate in the slag phase, in some cases as crystals. EnAM crystals represent concentrated reservoirs of these elements, which can only be effectively recycled if they are extracted from the slag matrix and then separated. Selective wet agglomeration is a separation process based on a three-phase system and is often used in coal and ore processing. The produced agglomerates in this process can be easily separated from the remaining suspension. The precise quantification of the wetting properties and adhesion strength between suspended particles and binding liquid droplets is a scientific challenge. An accurate technique suitable for adhesion force measurements in three-phase systems with micrometer-scale particles is Fluidic Force Microscopy (FluidFM®). An experimental setup with optical control is being developed to measure adhesion forces between droplets and flat/rough surfaces. This will enable precise measurements of adhesion forces between solid EnAM crystals and binding liquid droplets. Based on these measurements, optimal agglomeration conditions can be selected in the future to improve selective wet agglomeration with respect to recycling processes.
The aim of this work was to develop a novel method for studying the 3D morphology of agglomerates obtained by spherical agglomeration. It has been found, that the combination of shock-freezing the samples in a mixture of ethanol and dry ice followed by an X-ray microtomography measurement leads to useful results. Hereby, the image quality for low absorbing material like the used graphite was enhanced by propagation-based X-ray microtomography, which results in phase contrast images. We also discuss our 3D image post-processing routine, which is used to determine the morphology parameters sphericity, fractal dimension and packing density. Furthermore, a two-dimensional kernel density estimation is used to calculate the joint probability density of agglomerate size and the morphology parameter. In future, this method will be used to determine the morphological behaviour of agglomerates during the different phases of spherical agglomeration.
Hydrological variability is a key factor in structuring biotic and abiotic processes in river ecosystems and is of particular importance to fish populations. We used 171 hydrological indices (HI) and young-of-the-year (YOY) fish abundances as indicators of reproductive success to compare species' response patterns to high and low flows on short-, intermediate-, and long-term scales. Our study included 13 common fish species in headwater streams of North Rhine-Westphalia, Germany. Generalized linear models using YOY abundances and HI on high- and low-flow patterns explained on average 64 % of the variability. HI calculated from long time series worked better than HI describing short- and intermediate-term high- and low flows. Species' reproductive success response to low flow HI depended on specific ecological traits whereas high flow HI differentially affected species according to their life history strategies. Equilibrium strategists responded negatively to high frequency and magnitude along with late timing of high flow, while periodic and opportunistic species mostly thrived under these conditions. We identified four species traits that mediated these differences between life history strategies. The reproductive success of species with low relative fecundity, large eggs and larvae, and long incubation periods was negatively impacted by the high frequency, high magnitude, and late timing of high flows. Conversely, the reproductive success of species with high relative fecundity, short incubation periods and small eggs and larvae was fostered by strong, frequent, and late high flows. The consideration of the relationship between reproductive success, life history, and fish species traits over several years under a range of flows is a novel step towards the implementation of measures to mitigate negative impacts and enhance conditions for successful fish reproduction.
Since the beginning of 2023, the so-called reusable packaging obligation has been in place in Germany in order to reduce the amount of waste from takeaway packaging. Catering companies will then be obliged to offer reusable packaging as an alternative to disposable plastic takeaway packaging. As part of the pilot project ‘Mehrweg Modell Stadt’ (‘Reusable city model’), an open infrastructure for reusable cups is in trial in Mainz and Wiesbaden. The project was subjected to a scientific monitoring process, which included the implementation of quantitative surveys among various stakeholders within the value chain, namely consumers, catering companies, and other companies engaged in the project. This was conducted over two time periods: August 2023 to September 2023, and February to March 2024. The results show a discrepancy between consumers’ attitudes and their actual behavior: Despite a high level of sustainability awareness and perceived positive benefits of reusable packaging, perceived barriers stand in the way of actual use. The biggest challenges for companies are the lack of consumer demand, practical handling and hygiene requirements. The results of this quantitative social research provide important insights for the development of targeted measures to promote the use of reusable packaging in takeaway catering and contribute to the discussion on closing the attitude–behavior gap along the entire value chain.
More and more universities are recognizing their role model and creative function in society and are acting accordingly - also in terms of mobility. In this way, universities can make an important contribution to climate protection, as mobility is responsible for more than 20 percent of global greenhouse gas emissions. The GreenMetric ranking also takes the area of mobility into account via the Transportation category, which is weighted at 18%. This paper uses the example of the Environmental Campus Birkenfeld at Trier University of Applied Sciences, Germany, to show what opportunities universities in rural areas have to reduce transportation-related emissions of students and employees. The possibilities of avoiding transportation as well as different solutions for the reduction of transportation-related greenhouse gas emissions are discussed. Furthermore, conflicts of objectives inherent to the university system in the area of mobility are considered, especially in the area of internationalization.
Digital transformation is both an opportunity and a challenge. To take advantage of this opportunity for humans and the environment, the transformation process must be understood as a design process that affects almost all areas of life. In this paper, we investigate AI-Based Self-Adaptive Cyber-Physical Process Systems (AI-CPPS) as an extension of the traditional CPS view. As contribution, we present a framework that addresses challenges that arise from recent literature. The aim of the AI-CPPS framework is to enable an adaptive integration of IoT environments with higher-level process-oriented systems. In addition, the framework integrates humans as actors into the system, which is often neglected by recent related approaches. The framework consists of three layers, i.e., processes, semantic modeling, and systems and actors, and we describe for each layer challenges and solution outlines for application. We also address the requirement to enable the integration of new networked devices under the premise of a targeted process that is optimally designed for humans, while profitably integrating AI and IoT. It is expected that AI-CPPS can contribute significantly to increasing sustainability and quality of life and offer solutions to pressing problems such as environmental protection, mobility, or demographic change. Thus, it is all the more important that the systems themselves do not become a driver of resource consumption.
In the past decade, research on measuring and assessing the environmental impact of software has gained significant momentum in science and industry. However, due to the large number of research groups, measurement setups, procedure models, tools, and general novelty of the research area, a comprehensive research framework has yet to be created. The literature documents several approaches from researchers and practitioners who have developed individual methods and models, along with more general ideas like the integration of software sustainability in the context of the UN Sustainable Development Goals, or science communication approaches to make the resource cost of software transparent to society. However, a reference measurement model for the energy and resource consumption of software is still missing. In this article, we jointly develop the Green Software Measurement Model (GSMM), in which we bring together the core ideas of the measurement models, setups, and methods of over 10 research groups in four countries who have done pioneering work in assessing the environmental impact of software. We briefly describe the different methods and models used by these research groups, derive the components of the GSMM from them, and then we discuss and evaluate the resulting reference model. By categorizing the existing measurement models and procedures and by providing guidelines for assimilating and tailoring existing methods, we expect this work to aid new researchers and practitioners who want to conduct measurements for their individual use cases.
Social media data are transforming sustainability science. However, challenges from restrictions in data accessibility and ethical concerns regarding potential data misuse have threatened this nascent field. Here, we review the literature on the use of social media data in environmental and sustainability research. We find that they can play a novel and irreplaceable role in achieving the UN Sustainable Development Goals by allowing a nuanced understanding of human-nature interactions at scale, observing the dynamics of social-ecological change, and investigating the co-construction of nature values. We reveal threats to data access and highlight scientific responsibility to address trade-offs between research transparency and privacy protection, while promoting inclusivity. This contributes to a wider societal debate of social media data for sustainability science and for the common good.
Additive manufacturing is an essential tool in innovative production processes. The extended degrees of freedom offer much potential in usage, construction, and product design. Rising raw material and energy costs, constantly increasing environmental requirements, and the increasing demand for resource-saving products represent a paradigm shift in classic production processes.
In addition to the purely energetic evaluation, developing energy models is a method to determine energy consumption and reduce it in the long term. The specific energy consumption model, also known as the SEC model, allows a quick estimation of energy consumption by multiplying the SEC with a unit like the mass of the workpiece, the manufacturing time, or the exposed area. Here, high dependence on the used machine, the considered peripheral devices, and the geometry are noticeable.
Previous studies, such as those by Kellens et al. and Baumers et al., have laid the basis for understanding the energy demands of PBF-LB/M processes. Various energy models have subsequently been proposed, including those by Paul and Anand, Yi et al., Lv et al., and Hui et al. These models are often limited by their specificity to sub-processes or subsystems. This results in limitations in their applicability to other manufacturing machines or inaccuracies in energy consumption predictions. The simulation accuracy ACC is mostly in the range of 90% with the limitation of small sample sizes. Moreover, nearly, all these models rely heavily on process time information, making the accuracy of their simulations largely dependent on the quality of the underlying time model.
In the following study, two manufacturing machines of the PBF-LB/M process are analyzed and compared with other studies. The aim is to analyze the power and resource consumption to use these data to build an improved energy model with a high accuracy, which can be used as an additional parameter in the adapted design methodology. Furthermore, potential savings are derived from the load curves.
Diadromous fish have exhibited a dramatic decline since the end of the 20th century. The allis shad (Alosa alosa) population in the Gironde-Garonne-Dordogne (GGD) system, once considered as a reference in Europe, remains low despite a fishing ban in 2008. One hypothesis to explain this decline is that the downstream migration and growth dynamics of young stages have changed due to environmental modifications in the rivers and estuary. We retrospectively analysed juvenile growth and migration patterns using otoliths from adults caught in the GGD system 30 years apart during their spawning migration, in 1987 and 2016. We coupled otolith daily growth increments and laser ablation inductively-coupled plasma mass spectrometry measurements of Sr:Ca, Ba:Ca, and Mn:Ca ratios along the longest growth axis from hatching to an age of 100 days (i.e., during the juvenile stage). A back-calculation allowed us to estimate the size of juveniles at the entrance into the brackish estuary. Based on the geochemistry data, we distinguished four different zones that juveniles encountered during their downstream migration: freshwater, fluvial estuary, brackish estuary, and lower estuary. We identified three migration patterns during the first 100 days of their life: (a) Individuals that reached the lower estuary zone, (b) individuals that reached the brackish estuary zone, and (c) individuals that reached the fluvial estuary zone. On average, juveniles from the 1987 subsample stayed slightly longer in freshwater than juveniles from the 2016 subsample. In addition, juveniles from the 2016 subsample entered the brackish estuary at a smaller size. This result suggests that juveniles from the 2016 subsample might have encountered more difficult conditions during their downstream migration, which we attribute to a longer exposure to the turbid maximum zone. This assumption is supported by the microchemical analyses of the otoliths, which suggests based on wider Mn:Ca peaks that juveniles in 2010s experienced a longer period of physiological stress during their downstream migration than juveniles in 1980s. Finally, juveniles from the 2016 subsample took longer than 100 days to exit the lower estuary than we would have expected from previous studies. Adding a new marker (i.e., Ba:Ca) helped us refine the interpretation of the downstream migration for each individual.
Evolution of stock market efficiency in Europe: Evidence from measuring periods of inefficiency
(2024)
This study introduces novel measures to quantify periods of market inefficiency, enabling precise analysis of their evolution over time and effective comparisons across markets or groups of markets. These measures are applied to an extensive dataset comprising stock indices from 25 European countries from 2007 to 2022. The empirical findings reveal a 20% increase in market inefficiency across Europe, primarily driven by heightened average inefficiencies in the stock markets of the group of developed European countries such as Germany and the Scandinavian countries.
Reliability of a clinical sensory test battery in patients with spine-related leg and arm pain
(2024)
Background: The current standard to evaluate the presence of somatosensory dysfunctions is quantitative sensory testing, but its clinical utility remains limited. Low-cost and time-efficient clinical sensory testing (CST) batteries have thus been developed. Recent studies show moderate to substantial reliability in populations with neuropathic pain. This study evaluates the inter- and intra-tester reliability of people with spine-related leg and arm pain, representing mixed pain mechanisms.
Methods: Fifty-three patients with spine-related leg (n = 41) and arm pain (n = 12) attended three CST sessions. The CST battery consisted of eleven tests, determining loss and gain of sensory nerve function. CST was performed by the same investigator twice and by an additional investigator to determine inter- and intra-tester reliability. Fleiss' (inter-tester) and Cohen's (intra-tester) kappa were calculated for dichotomized and intraclass correlation coefficients (ICC) for continuous outcomes.
Results: Fleiss' kappa varied among modalities from fair to substantial (κ = 0.23–0.66). Cold, warm, and vibration detection thresholds and cold and pressure pain thresholds reached kappa >0.4 (moderate to substantial reliability). Cohen's kappa ranged from moderate to substantial (κ = 0.45–0.66). The reliability of the windup ratio was poor (ICC <0.18).
Conclusion: CST modalities with moderate to substantial inter-tester reliability could be of benefit as a screening tool. The moderate to substantial intra-tester reliability for all sensory modalities (except windup ratio) supports their potential use in clinical practice and research to monitor somatosensory changes over time in patients with spine-related limb pain of mixed pain mechanisms.
Significance: We already know that most modalities of clinical sensory test (CST) batteries achieve moderate to substantial inter- and intra-tester reliability in populations with neuropathic pain.
This study evaluates the reliability of a CST battery in populations with mixed pain mechanisms. We found inter-tester reliability varied from poor to substantial for sensory modalities, questioning the value of some CST modalities. The CST battery showed moderate to substantial intra-tester reliability, suggesting its usefulness to monitor sensory changes over time in this cohort.
Background: The environmental impact of electric scooters has been the subject of critical debate in the scientific community for the past 5 years. The data published so far are very inhomogeneous and partly methodologically incomplete. Most of the data available in the literature suffer from an average bias of 34%, because end-of-life (EOL) impacts have not been modelled, reported or specified. In addition, the average lifetime mileage of shared fleets of e-scooters, as they are operated in cities around the world, has recently turned out to be much lower than expected. This casts the scooters in an unfavourable light for the necessary mobility transition. Data on impact categories other than the global warming potential (GWP) are scarce. This paper aims to quantify the strengths and weaknesses of e-scooters in terms of their contribution to sustainable transport by more specifically defining and extending the life cycle assessment (LCA) modelling conditions: the modelling is based on two genuine material inventories obtained by dismantling two different e-scooters, one based on a traditional aluminium frame and another, for the first time, based on plastic material.
Results: This study provides complete inventory data to facilitate further LCA modelling of electric kick scooters. The plastic scooter had a 26% lower lifetime GWP than the aluminium vehicle. A favourable choice of electric motor promises a further reduction in GWP. In addition to GWP, the scooter's life cycles were assessed across seven other impact categories and showed no critical environmental or health impacts compared to a passenger car. On the other hand, only the resource extraction impact revealed clear advantages for electric scooters compared to passenger cars.
Conclusions: Under certain conditions, scooters can still be an important element of the desired mobility transition. To assure a lifetime long enough is the crucial factor to make the electric scooter a favourable or even competitive vehicle in a future sustainable mobility system. A scooter mileage of more than 5400 km is required to achieve lower CO2eq/pkm emissions compared to passenger cars, which seems unlikely in today's standard use case of shared scooter fleets. In contrast, a widespread use of e-scooters as a commuting tool is modelled to be able to save 4% of greenhouse gas (GHG) emissions across the German mobility sector.
Dielectric properties of unidirectional and biaxial flax/epoxy composites at frequencies up to 1 GHz
(2023)
The relative permittivity of flax/epoxy composites in unidirectional and biaxial orientations was mapped in the frequency range of 1 kHz to 200 kHz, and for the first time in the range of 1 MHz to 1 GHz. In addition, permittivity was investigated for the first time in the temperature range between − 20 °C and 50 °C. These composites, produced using the vacuum infusion process, are increasingly used for sustainable and lightweight structural components in the automotive industry. The relative permittivity was determined using a self-developed plate capacitor with an LCR bridge and an impedance analyzer. An examination of the microstructure of the flax/epoxy composites shows that the fibers are disordered in the composite, resulting in local variations in fiber volume fraction. Furthermore, it was shown that the matrix also infiltrates into the fiber itself, resulting in an increase of the matrix fraction. It was found that unidirectional fabrics had a higher relative permittivity than biaxial fabrics, due to a higher fiber volume fraction and lower proportion of epoxy. The results suggest that it is the fiber volume fraction, rather than the manufacturing process and fiber orientation, that primarily determines the relative permittivity. It was also found that the permittivity continues to decrease below room temperature and thus behaves in a manner typical of the material in this temperature range as well.
Purpose – The COVID-19 pandemic has had a significant impact on the food tourism industry, leading to business closures and a drop in demand. In response to this challenge, virtual food tourism experiences such as VR have emerged as an alternative to traditional in-person experiences. Aim of this paper is to model consumer adoption of virtual food tourism by integrating the Diffusion of Innovation Theory and the Self-determination Theory.
Methodology/Design/Approach – The Diffusion of Innovation Theory explains the process of innovation adoption, while the Self-determination Theory focuses on consumer motivation. This article proposes that intrinsic (autonomy, relatedness, and competence) and extrinsic (relative advantage, complexity, compatibility, trialability, and observability) motivating factors influence virtual food tourism adoption.
Findings – The study suggests that extrinsic motivators can act as mediators between intrinsic motivation and adoption intention. Integrating these two theories provides a comprehensive understanding of the motivations and mechanisms driving virtual food tourism adoption. It also paves the way for the exploration of intrinsic and extrinsic motivations and specific mechanisms underlying adoption behaviours.
Originality of the research – Destinations, businesses, and policy makers can better navigate the changing landscape of food tourism and leverage the potential of virtual food tourism to create engaging, accessible, and culturally enriching experiences.
Ephemeroptera, Plecoptera and Trichoptera are three orders of freshwater macroinvertebrates with a short terrestrial adult life-stage that they use to disperse by flying upstream. This aerial dispersal can be assisted by native riparian forest, but regional variation has not yet been empirically tested. In this study we compared the EPT community of 153 sampling sites located in freshwater streams in four European regions (Central Plains, Central Highlands, Alps, Iberia). In each site, we assessed the EPT community dispersal ability using the Species Flying Propensity index. We also calculated the native deciduous forest cover in the riparian buffer and several environmental stressors such as saprobic pollution or catchment anthropization. Finally, we tested which of these parameters have a significant effect on the EPT community. In the Central Highlands and in Iberia, the share of weak dispersers increased with native deciduous forest cover, indicating a positive effect on dispersal of EPTs. In the Central Plains and the Alps, no such effect was found. We conclude that the effect of native deciduous forest depends on regional landscape characteristics and the regional species pool, but considering the dispersal of the regional EPT communities is needed to create effective river management policies.
Evaluation of a blended learning approach on stratified care for physiotherapy bachelor students
(2023)
Background: Stratified models of care are valuable for addressing psychosocial factors which influence the outcome of patients with musculoskeletal disorders. Introducing such models in undergraduate training has the potential to propagate this knowledge with evidence and foster its implementation. The objective of this paper is to explore the perception and changes in the fear-avoidance beliefs of physiotherapy students participating in a developed blended learning course on stratified care.
Methodology: A mixed-methods with a convenient sample of two consecutive cohorts were given a blended learning course on stratified care for patients with low back pain. The blended learning course comprised scientific rudiments and application of stratified care in clinical practice conceptualised using the KERN’ 6-step approach. The exam scores, perceptions, performance on self-reflection-tests and pre- and post-scores on The Tampa Scale for Kinesiophobia for Physiotherapists’ (TSK-PT) were obtained. After gaining clinical experience, participants were invited to discuss their clinical experiences and perceptions in workshops. The quantitative data was analysed explorative-descriptively. The qualitative data was analysed following an inductive coding system with constant comparisons.
Results: Ninety-one participants consented to the evaluation (mean age = 22.9 ± 1.6 years), 66% were female. Exam scores correlated with time spent in training (r = 0.30) and scores on self-reflection-tests 1 and 2 (r = 0.40 and r = 0.41). Participants in both cohorts described the learning resources as promoting their interest in the subject (72% and 94%), up-to-date (91% and 93%) and helpful (91% and 97%). The fear-avoidance scores for participants decreased from 53.5 (± 9.96) to 40.1 (± 12.4) with a large effect size (d = 1.18). The regression model [F (2, 49) = 1151.2, p < 0.001] suggests that pre-TSK-PT and the interest of participants in the training predicted post-TSK-PT. The workshop participants (n = 62) all worked in clinical practice. Emerging from the analysis were 4 categories (evolving to maturity in practice, perceiving determinants of stratified care, strategising for implementation and adopting an outlook for future practice).
Conclusion: The quality of engagement in learning, training strategy and interest in the subject contributes immensely to learning outcomes. This blended learning course was successful in reducing kinesiophobia and influencing the participants’ attitude towards care with the potential of being translated into long-term practice.
Die Erstellung von technischen Gebäudebestandsaufnahmen im Rahmen von Sanierungsfahrplänen bei der Ingenieurgesellschaft TRAGWERK in Trier erfolgt derzeit handschriftlich auf mehrseitigen PDF-Checklisten. Die handschriftliche Erfassung bringt jedoch den Nachteil mit sich, dass die Notizen in einer Nachbereitungsphase im Büro in eine digitale Form überführt werden, was zeitaufwändig ist. Ebenso führen die handschriftlich ausgefüllten Checklisten teilweise zu ungenauen und unvollständigen Bestandsaufnahmen und erschweren die Zusammenarbeit mehrerer Mitarbeiter an einem Projekt. Das Ziel dieser Bachelorarbeit ist die Entwicklung eines offline-fähigen Softwaresystems zur digitalen Erstellung von technischen Gebäudebestandsaufnahmen. Diese Lösung soll die beschriebenen Probleme eliminieren, die Nutzungsanforderungen erfüllen und nach Abschluss der Arbeit im Arbeitsalltag des Praxispartners verwendet werden können. Um dieses Ziel zu erreichen, wird ein nutzerzentriertes, iteratives Entwicklungsvorgehen angewendet. Durch Feldstudien zur Analyse des Arbeitsablaufs und der Durchführung einer Nutzungskontextanalyse werden Nutzungsanforderungen an die Software abgeleitet. Ein Konzept in Form von Wireframes unterstützt die Implementierung, die schrittweise durch formative Nutzungstests evaluiert und verbessert wird. Die Nutzungskontextanalyse ergab, dass die Mitarbeiter und zukünftigen Nutzer der Software in zwei rollenbasierte Benutzergruppen eingeteilt werden können: Datenerfasser, die vor Ort offline mit einem iPad arbeiten, und Projektbearbeiter, die im Büro am PC den Sanierungsfahrplan erstellen. Die Evaluation durch Nutzungstests zeigte, dass die entwickelte Web- und iOS-App die Effizienz des Prozesses durch strukturierte digitale Formulare mit Handschrifterkennung, Auswahlfeldern, duplizierbaren Formulargruppen und bedingten Feldern erhöht. Dies verbessert die Vollständigkeit und Genauigkeit der Datenerfassung, beschleunigt die Projektbearbeitung im Büro und erleichtert die Zusammenarbeit mehrerer Mitarbeiter an einem Projekt.
This article discusses ethics in times of pandemic crisis (COVID-19) taking into consideration the sustainability paradigm. Two related ethical approaches are discussed and contrasted. On the one hand, the relational embodied ethics of the commons is discussed in the background of the pandemic of COVID-19. On the other hand, "lifeboat ethics" is interpreted in considering the pandemic situation. The main goal of the article is to compare the two ethical approaches as a way of dealing with our shared predicament in times of a pandemic, a state of exception, and based on that, to additionally derive conclusions about their application in further crises in the Anthropocene, whereby the primacy of sustainability is presumed.
Background: Stratified care approach involving use of the STarT-Back tool to optimise care for patients with low back pain is gaining widespread attention in western countries. However, adoption and implementation of this approach in low-and-middle-income countries will be restricted by context-specific factors that need to be addressed. This study aimed to develop with physiotherapists, tailored intervention strategies for the implementation of stratified care for patients with low back pain.
Methods: A two-round web-based Delphi survey was conducted among purposively sampled physiotherapists with a minimum of three years of clinical experience, with post-graduation certification or specialists. Thirty statements on barriers and enablers for implementation were extracted from the qualitative phase. Statements were rated by a Delphi panel with additional open-ended feedback. After each Delphi round, participants received feedback which informed their subsequent responses. Additional qualitative feedback were analysed using qualitative content analysis. The criteria for consensus and stability were pre-determined using percentage agreement (≥ 75%), median value (≥ 4), Inter-quartile range (≤ 1), and Wilcoxon matched-pairs test respectively.
Results: Participants in the first round were 139 and 125 of them completed the study, yielding a response rate of 90%. Participants were aged 35.2 (SD6.6) years, and 55 (39.6%) were female. Consensus was achieved in 25/30 statements. Wilcoxon’s test showed stability in responses after the 5 statements failed to reach consensus: ‘translate the STarT-Back Tool to pidgin language’ 71% (p = 0.76), ‘begin implementation with government hospitals’ 63% (p = 0.11), ‘share knowledge with traditional bone setters’ 35% (p = 0.67), ‘get second opinion on clinician’s advice’ 63% (p = 0.24) and ‘carry out online consultations’ 65% (p = 0.41). Four statements strengthened by additional qualitative data achieved the highest consensus: ‘patient education’ (96%), ‘quality improvement appraisals’ (96%), ‘undergraduate training on psychosocial care’ (96%) and ‘patient-clinician communication’ (95%).
Conclusion: There was concordance of opinion that patients should be educated to correct misplaced expectations and proper time for communication is vital to implementation. This communication should be learned at undergraduate level, and for already qualified clinicians, quality improvement appraisals are key to sustained and effective care. These recommendations provide a framework for future research on monitored implementation of stratified care in middle-income countries.
In der seit 2009 andauernden Niedrigzinsphase ging der Anteil der Kapitaleinkommen am Volkseinkommen zurück. Da sich der Anteil des Faktors Arbeit nicht wesentlich veränderte, gewann der Produktionsfaktor Boden an Bedeutung. In der Volkswirtschaftlichen Gesamtrechnung spiegelt sich dies jedoch nicht wider, da der Boden dort nicht gesondert ausgewiesen wird. Mithilfe des Henry-George-Theorems wird versucht, eine Methode zu entwickeln, die den Anteil des Faktors Boden quantifiziert. Der explizite Ausweis des Bodeneinkommens in der Volkswirtschaftlichen Gesamtrechnung könnte dazu beitragen, die Rolle dieses vernachlässigten Faktors zu korrigieren.
This paper describes the project “Visual Knowledge Communication”, a joint project that started recently. The partners are psychologists and computer scientists from four universities of the German state Rhineland-Palatinate. The starting point for the project was the fact that visualizations have attracted considerable interest in psychology as well as computer science within the last years. However, psychologists and computer scientists pursued their investigations independently from each other in the past. This project has as its main goal the support and fostering of cooperation between psychologists and computer scientists in several visualization research projects.
The paper sketches the overall project. It then discusses in more detail the authors' subproject which deals with a peer review process for animations developed by students. The basic ideas, the main goals, and the project plan are described.
This paper is a work-in-progress report. Therefore, it does not contain any results.
This article investigates the representation of the issue of refugees travelling to the Italian coast that was reported by two major Italian newspapers between August 8th and August 19th, 2017. Using analysis tools belonging to communication theory and cognitive sciences, i.e. the concepts of frame and attitude, this article highlights two major points: firstly, the analysis reveals how the two newspapers aimed at establishing a specific relationship with their readers on this topic in the relevant period on the basis of specific interpretative models; secondly, each of these interpretative models relies on the representation of specific emotions which play a central role in the interpretation of reality according to a characteristic facet of the definition of post-truth.
We present the concrete realization of a virtual laboratory equipped with a pedagogical agent. Its functionality and media didactics takes into account the results of an usability test on a prototype system, and the students' demand on such an automated assistance as obtained from a preliminary survey. The pedagogical agent mediates between the content and the learner by activating him or her. To provide information about the learner's skills, we propose a pragmatic and simplified competence model that is based on fundamental representations in physics (experiment, figure, text and equation). Moreover, an automated feedback relates the student's self-assessment with the submitted answer to the correctness of the respective task. In consequence, the pedagogical agent enables mental reflection for a crucial review of the own learning process. Interestingly, learning pathways can be envisioned, thus, giving valuable insight into individual strengths and weaknesses.
One key for successful and fluent human-robot-collaboration in disassembly processes is equipping the robot system with higher autonomy and intelligence. In this paper, we present an informed software agent that controls the robot behavior to form an intelligent robot assistant for disassembly purposes. While the disassembly process first depends on the product structure, we inform the agent using a generic approach through product models. The product model is then transformed to a directed graph and used to build, share and define a coarse disassembly plan. To refine the workflow, we formulate "the problem of loosening a connection and the distribution of the work" as a search problem. The created detailed plan consists of a sequence of actions that are used to call, parametrize and execute robot programs for the fulfillment of the assistance. The aim of this research is to equip robot systems with knowledge and skills to allow them to be autonomous in the performance of their assistance to finally improve the ergonomics of disassembly workstations.
Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.
Research integrity (RI) has been a focus of society in recent years as a means to create and to keep trust in science. Higher education institutions (HEIs) play a key role in promoting a culture of RI and responsible conduct of research (RCR). The understanding and practice of RI can vary across cultures. This article aims to outline initial insights into university students’ RI mindsets based on five RI facets: understanding, importance, value-action gap, enforcement approaches, and training. A qualitative exploratory cross-cultural study was conducted with participants from Germany and Bulgaria via semi-structured guided group interviews. An explicit transcultural agreement regarding the significance of RI was categorically indicated. Intercultural differences between the two European countries were revealed and discussed in reference to understanding RI, the value-action gap, enforcement approaches, and training preferences.
Background: Deficiency in musculoskeletal imaging (MI) education will pose a great challenge to physiotherapists in clinical decision making in this era of first-contact physiotherapy practices in many developed and developing countries. This study evaluated the nature and the level of MI training received by physiotherapists who graduate from Nigerian universities.
Methods: An online version of the previously validated Physiotherapist Musculoskeletal Imaging Profiling Questionnaire (PMIPQ) was administered to all eligible physiotherapists identified through the database of the Medical Rehabilitation Therapist Board of Nigeria. Data were obtained on demographics, nature, and level of training on MI procedures using the PMIPQ. Logistic regression, Friedman’s analysis of variance (ANOVA) and Kruskal-Wallis tests were used for the statistical analysis of collected data.
Results: The results (n = 400) showed that only 10.0% of the respondents had a stand-alone entry-level course in MI, 92.8% did not have any MI placement during their clinical internship, and 67.3% had never attended a MI workshop. There was a significant difference in the level of training received across MI procedures [χ2 (15) = 1285.899; p = 0.001]. However, there was no significant difference in the level of MI training across institutions of entry-level programme (p = 0.36). The study participants with transitional Doctor of Physiotherapy education were better trained in MI than their counterparts with a bachelor’s degree only (p = 0.047).
Conclusions: Most physiotherapy programmes in Nigeria did not include a specific MI module; imaging instructions were mainly provided through clinical science courses. The overall self-reported level of MI training among the respondents was deficient. It is recommended that stand-alone MI education should be introduced in the early part of the entry-level physiotherapy curriculum.
Background: The extramuscular connective tissue (ECT) has been shown to play a significant role in mechanical force transmission between musculoskeletal structures. Due to this and owing to its tight connection with the underlying muscle, the ECT may be vulnerable to excessive loading. The present study aimed to investigate the effect of eccentric elbow flexor exercise on the morphology of the biceps brachii ECT. In view of the high nociceptive capacity of the ECT, an additional objective was to elucidate the potential relationship between ECT damage and the occurrence of delayed onset muscle soreness (DOMS).
Methods: Eleven healthy participants (♂ = 7; 24 ± 2 years) performed fatiguing dumbbell elbow flexor eccentric exercise (EE) for one arm and concentric exercise (CE) for the other arm in random order and with random arm allocation. Before, immediately after and 24–96 h post-exercise, maximal voluntary isometric contraction torque of the elbow flexors (dynamometer), pressure pain (algometer), palpation pain (100 mm visual analog scale), biceps brachii ECT thickness and ECT/muscle mobility during passive movement (both high-resolution ultrasound) were examined.
Results: Palpation pain, suggestive of DOMS, was greater after EE than CE, and maximal voluntary isometric contraction torque decreased greater after EE than CE (p < .05). Relative to CE, EE increased ECT thickness at 48 (+ 17%), 72 (+ 14%) and 96 (+ 15%) hours post-exercise (p < .05). At 96 h post-EE, the increase in ECT thickness correlated with palpation pain (r = .68; p < .05). ECT mobility was not different between conditions, but compared to CE, muscle displacement increased at 24 (+ 31%), 72 (+ 31%) and 96 (+ 41%) hours post-EE (p < .05).
Conclusion: Collectively, these results suggest an involvement of the ECT changes in delayed onset muscle soreness.
In Deutschland findet die Gestaltung von Erbbaurechtsverträgen sehr oft unter politischen Gesichtspunkten, aber wenig am Markt orientiert statt. Die Akzeptanz des Erbbaurechts leidet hierunter. Eine wichtige Rolle spielt dabei die Festlegung des Erbbauzinses, der angesichts des niedrigen Zinsniveaus oft als unangemessen empfunden wird. Andererseits stellt sich die Ableitung „marktgerechter“ Erbbauzinsen im Vergleichswege schwierig dar. Im Beitrag wird daher ein praxisbezogener, auf der Kapitalmarkttheorie basierender Ansatz für die Festlegung marktgerechter Erbbauzinsen dargestellt. Wichtig ist dabei die Verschiebung der Rendite/Risiko-Position, die sich aufgrund der Bestellung von Erbbaurechten gegenüber Volleigentum ergibt. Sowohl der Erbbauverpflichtete wie auch der Erbbauberechtigte dürfen sich diesbezüglich nicht schlechter als bei Volleigentum stellen. Diese Anforderung wird durch die Sharpe Ratio konkretisiert. Damit sich der Erbbauberechtigte nicht gegenüber Volleigentum verschlechtert, bedarf es einer „Subventionierung“ seiner Rendite. Es wird gezeigt, dass dies durch den Erbbauberechtigten ohne Einbußen in seiner Rendite/Risiko-Position gegenüber Volleigentum geschehen kann. Auf Grundlage dieser Überlegungen werden Mindestrenditeforderungen für den Erbbauberechtigten und Höchstsätze für den Erbbauverpflichteten kalkuliert, die sich auf die Bodenwerte beziehen.
Erbbaurechte werden in den letzten Jahren zwar wieder verstärkt verwendet, führen aber immer noch ein Nischendasein. Bei Erbbaurechten findet eine Aufspaltung der Eigentumsrechte an der Immobilie statt. Hierdurch entstehen einerseits zusätzliche Kontroll- und Durchsetzungskosten, andererseits auch Eingriffe in die Verfügungsrechte des Erbbauberechtigten. Beides führt zu Wertabschlägen, mit denen Volleigentum nicht belastet ist. Dies belastet sowohl die Rendite als auch die Möglichkeiten, bezahlbaren Wohnraum über Erbbaurechte zur Verfügung zu stellen. Hinzu kommen Nachteile bei der Veräußerbarkeit und der Beleihbarkeit von Erbbaurechten. Auf der anderen Seite können Erbbaurechte als ein Instrumentarium zur Reallokation von Investitionsrisiken auf den Erbbaurechtnehmer verstanden werden. Marktgerechtigkeit vorausgesetzt, sinken die Renditeforderungen der Erbbaurechtgeber stärker ab, als die Renditeforderungen der Erbbaurechtgeber ansteigen. Hierdurch entstehen u. U. beträchtliche Diskontierungsgewinne, die bei Volleigentum nicht generiert werden und die eine Überkompensation der Nachteile des Erbbaurechts bewirken können. Allerdings erlaubt es die Art und Weise, wie in Deutschland Erbbaurechte angewandt werden aber nicht, diesen potenziellen Mehrwert tatsächlich auszuschöpfen. Es werden Modelle aufgezeigt, die diese Anwendungsprobleme auf einfache Weise beheben.
Der Erbbauzins ist bei kommunalen Erbbaurechten sowohl eine zentrale Stellgröße für die Wirtschaftlichkeit als auch von kommunalwirtschafts- und beihilferechtlicher Relevanz. Er wird zumeist ermittelt, indem ein geeigneter Erbbauzinssatz auf den Bodenwert angelegt wird. Der Erbbauzinssatz sollte dabei marktgerecht sein. Sowohl die Ableitung des Erbbauzinssatzes aus dem Primärmarkt (erstmalige Ausgabe von Erbbaurechten) wie aus dem Sekundärmarkt (Weiterverkäufe) ist aber zumindest bei Erbbaurechten für Mehrfamilienhäuser derzeit kaum sinnvoll zu diesem Zwecke durchzuführen. Auch der Liegenschaftszinssatz ist ungeeignet, da er aus einem Modell für Volleigentum mit einer vollkommen anderen Risiko-/Rendite-Konstellation abgeleitet wird. Daher wird für eine stärkere Anwendung ökonomisch basierter Verfahren plädiert und hierbei ein kapitalmarktorientiertes Mark-to-Model-Verfahren dargestellt. Erste überschlägige Ermittlungen legen zudem die Orientierung an langfristigen Baufinanzierungssätzen als Daumenregel nahe. Regelmäßig dürften von Kommunen für die Ermittlung von marktgerechten Erbbauzinssätzen öffentlich bestellte und vereidigte oder zertifizierte Grundstückssachverständige betraut werden, denen die betreffenden Verfahren jedoch oftmals fremd sind. Auch stellt sich die Frage nach der Zulässigkeit, da sie sich als Best Practice-Verfahren bislang nicht etabliert haben. Daher wäre dem Gesetz- bzw. Verordnungsgeber anzuraten, die Ermittlung marktgerechter Erbbauzinssätze ausdrücklich zu regeln und dabei jenseits von Mark-to-Market-Verfahren weitere geeignete ökonomisch gestützte Methoden wie auch empirisch abgesicherte „Daumenregeln“ zuzulassen.
Context: In the framework of studying cosmic microwave background polarization and characterizing its Galactic foregrounds, the angular power spectrum analysis of the thermal dust polarization map has led to intriguing evidence of an E/B asymmetry and a positive TE correlation. The interpretation of these observations is the subject of theoretical and simulation-driven studies in which the correlation between the density structure of the interstellar medium (ISM) and the magnetic field appears to be a key aspect. In this context, and when the magnetized ISM structures are modeled in three dimensions, dust clouds are generally considered to be filamentary structures only, but both filamentary and sheet-like shapes are supported by observational and theoretical evidence.
Aims: We aim to study the influence of the cloud shape and its connection to the local magnetic field, as well as the influence from the viewing angle, on the angular power spectra measured on thermal dust polarization maps; we specifically focus on the dependence of the E/B power asymmetry and TE correlation.
Methods: To this end, we simulated realistic interstellar clouds with both filament-like and sheet-like shapes using the software ASTERION, which also allowed us to generate synthetic maps of thermal dust polarized emission with an area of 400 square degrees. Then, we computed their polarization power spectra in the multipole range ℓ ϵ [100, 500] and focused on the E/B power asymmetry, quantified through the ℛEB ratio, and the correlation coefficient rTE between Τ and Ε modes. We quantified the dependence of ℛEB and rTE values on the offset angle (between the longest cloud axis and local magnetic field lines) and inclination angle (between the line of sight and the magnetic field) for both types of cloud shapes, either embedded in a regular magnetic field or coupled to a nonregular field to mimic turbulence.
Results: We find that both types of cloud shapes cover the same regions of the (ℛEB, rTE) parameter space. The dependence on the inclination and offset angles is similar for both shapes, although sheet-like structures generally show larger scatter than filamentary structures. In addition to the known dependence on the offset angle, we find a strong dependence of ℛEB and rTE on the inclination angle.
Conclusions: The very fact that filament-like and sheet-like structures may lead to polarization power spectra with similar (ℛEB,rTE) values complicates their interpretation. We argue that interpreting them solely in terms of filament characteristics is risky, and in future analyses, this degeneracy should be accounted for, as should the connection to the magnetic field geometry. Our results based on maps of 400 square degrees clarify that the overall geometrical arrangement of the magnetized ISM surrounding the observer leaves its marks on polarization power spectra.
Deep brain stimulation (DBS) is an established therapy for movement disorders such as in Parkinson's disease (PD) and essential tremor (ET). Adjusting the stimulation parameters, however, is a labour-intensive process and often requires several patient visits. Physicians prefer objective tools to improve (or maintain) the performance in DBS. Wearable motion sensors (WMS) are able to detect some manifestations of pathological signs, such as tremor in PD. However, the interpretation of sensor data is often highly technical and methods to visualise tremor data of patients undergoing DBS in a clinical setting are lacking. This work aims to visualise the dynamics of tremor responses to DBS parameter changes with WMS while patients performing clinical hand movements. To this end, we attended DBS programming sessions of two patients with the aim to visualise certain aspects of the clinical examination. PD tremor and ET were effectively quantified by acceleration amplitude and frequency. Tremor dynamics were analysed and visualised based on setpoints, movement transitions and stability aspects. These methods have not yet been employed and examples demonstrate how tremor dynamics can be visualised with simple analysis techniques. We therefore provide a base for future research work on visualisation tools in order to assist clinicians who frequently encounter patients for DBS therapy. This could lead to benefits in terms of enhanced evaluation of treatment efficacy in the future.
For the assessment of human reaction time, a test environment was developed. This system consists of an embedded device with organic light-emitting diode (OLED) displays with push buttons for the combined presentation of visual stimulation and registration of the haptic human reaction. The test leader can define the test sequence with the aid of a graphical user interface (GUI) on a personal computer (PC). The validation of the system was proved by measuring the latency times of the whole system, which are conditioned by the specific hard- and software constellation. Through the investigation of the display’s light radiation by a photodiode and the recorded current consumption, latency times and their variance were specified. In the fastest mode the system can reach an error limit of 60 μs.
Background: Telerehabilitation can contribute to the maintenance of successful rehabilitation regardless of location and time. The aim of this study was to investigate a specific three-month interactive telerehabilitation routine regarding its effectiveness in assisting patients with physical functionality and with returning to work compared to typical aftercare.
Objective: The aim of the study was to investigate a specific three-month interactive telerehabilitation with regard to effectiveness in functioning and return to work compared to usual aftercare.
Methods: From August 2016 to December 2017, 111 patients (mean 54.9 years old; SD 6.8; 54.3% female) with hip or knee replacement were enrolled in the randomized controlled trial. At discharge from inpatient rehabilitation and after three months, their distance in the 6-minute walk test was assessed as the primary endpoint. Other functional parameters, including health related quality of life, pain, and time to return to work, were secondary endpoints.
Results: Patients in the intervention group performed telerehabilitation for an average of 55.0 minutes (SD 9.2) per week. Adherence was high, at over 75%, until the 7th week of the three-month intervention phase. Almost all the patients and therapists used the communication options. Both the intervention group (average difference 88.3 m; SD 57.7; P=.95) and the control group (average difference 79.6 m; SD 48.7; P=.95) increased their distance in the 6-minute-walk-test. Improvements in other functional parameters, as well as in quality of life and pain, were achieved in both groups. The higher proportion of working patients in the intervention group (64.6%; P=.01) versus the control group (46.2%) is of note.
Conclusions: The effect of the investigated telerehabilitation therapy in patients following knee or hip replacement was equivalent to the usual aftercare in terms of functional testing, quality of life, and pain. Since a significantly higher return-to-work rate could be achieved, this therapy might be a promising supplement to established aftercare.
Multimodal meaning making: The annotation of nonverbal elements in multimodal corpus transcription
(2021)
The article discusses how to integrate annotation for nonverbal elements (NVE) from multimodal raw data as part of a standardized corpus transcription. We argue that it is essential to include multimodal elements when investigating conversational data, and that in order to integrate these elements, a structured approach to complex multimodal data is needed. We discuss how to formulate a structured corpus-suitable standard syntax and taxonomy for nonverbal features such as gesture, facial expressions, and physical stance, and how to integrate it in a corpus. Using corpus examples, the article describes the development of a robust annotation system for spoken language in the corpus of Video-mediated English as a Lingua Franca Conversations (ViMELF 2018) and illustrates how the system can be used for the study of spoken discourse. The system takes into account previous research on multimodality, transcribes salient nonverbal features in a concise manner, and uses a standard syntax. While such an approach introduces a degree of subjectivity through the criteria of salience and conciseness, the system also offers considerable advantages: it is versatile and adaptable, flexible enough to work with a wide range of multimodal data, and it allows both quantitative and qualitative research on the pragmatics of interaction.
Following a quantitative analysis of adequate feedstock, comprising 11 woody biomass species, four biochars were generated using a Kon-Tiki flame curtain kiln in the state of Aguascalientes, Mexico. Despite the high quality (certified by European Biochar Certificate), the biochars contain substantial quantities of hazardous substances, such as polycyclic aromatic hydrocarbons, polychlorinated dibenzo-p-dioxins and dibenzofurans, polychlorinated biphenyls, and heavy metals, which can induce adverse effects if wrongly applied to the environment. To assess the toxicity of biochars to non-target organisms, toxicity tests with four benthic and zooplanktonic invertebrate species, the ciliate Paramecium caudatum, the rotifer Lecane quadridentata, and the cladocerans Daphnia magna and Moina macrocopa were performed using biochar elutriates. In acute and chronic toxicity tests, no acute toxic effect to ciliates, but significant lethality to rotifers and cladocerans was detected. This lethal toxicity might be due to ingestion/digestion by enzymatic/mechanic processes of biochar by cladocerans and rotifers of toxic substances present in the biochar. No chronic toxicity was found where biochar elutriates were mixed with soil. These data indicate that it is instrumental to use toxicity tests to assess biochars’ toxicity to the environment, especially when applied close to sensitive habitats, and to stick closely to the quantitative set-point values.
The current work investigates the capability of a tailored multivariate curve resolution–alternating least squares (MCR-ALS) algorithm to analyse glucose, phosphate, ammonium and acetate dynamics simultaneously in an E. coli BL21 fed-batch fermentation. The high-cell-density (HCDC) process is monitored by ex situ online attenuated total reflection (ATR) Fourier transform infrared (FTIR) spectroscopy and several in situ online process sensors. This approach efficiently utilises automatically generated process data to reduce the time and cost consuming reference measurement effort for multivariate calibration. To determine metabolite concentrations with accuracies between ±0.19 and ±0.96·gL−l, the presented utilisation needs primarily — besides online sensor measurements — single FTIR measurements for each of the components of interest. The ambiguities in alternating least squares solutions for concentration estimation are reduced by the insertion of analytical process knowledge primarily in the form of elementary carbon mass balances. Thus, in this way, the established idea of mass balance constraints in MCR combines with the consistency check of measured data by carbon balances, as commonly applied in bioprocess engineering. The constraints are calculated based on online process data and theoretical assumptions. This increased calculation effort is able to replace, to a large extent, the need for manually conducted quantitative chemical analysis, leads to good estimations of concentration profiles and a better process understanding.
Many borate crystals feature nonlinear optical properties that allow for efficient frequency conversion of common lasers down into the ultraviolet spectrum. Twinning may degrade crystal quality and affect nonlinear optical properties, in particular if crystals are composed of twin domains with opposing polarities. Here, we use measurements of optical activity to demonstrate the existence of inversion twins within single crystals of YAl3(BO3)4 (YAB) and K2Al2B2O7 (KABO). We determine the optical rotatory dispersion of YAB and KABO throughout the visible spectrum using a spectrophotometer with rotatable polarizers. Space-resolved measurements of the optical rotation can be related to the twin structure and give estimates on the extent of twinning. The reported dispersion relations for the rotatory power of YAB and KABO may be used to assess crystal quality and to select twin-free specimens.
Electrical stimulation is used for example to treat neuronal disorders and depression with deep brain stimulation or transcranial electrical stimulation. Depending on the application, different electrodes are used and thus different electrical characteristics exist, which have to be handled by the stimulator. Without a measuring device the user would have to rely on the stimulator being able to deliver the needed stimulation signal. Therefore, the objective of this paper is to present a method to increase the level of confidence with characterization and modelling of the electrical behavior by using the example of one channel of our stimulation device for experimental use. In several simulation studies with an electrode model with values in a typical range for cortical applications the influence of the load onto the stimulator and the possibility to pre-estimate measuring signals in complex networks are shown.
Ahmad et al. in their paper for the first time proposed to apply sharp function for classification of images. In continuation of their work, in this paper we investigate the use of sharp function as an edge detector through well known diffusion models. Further, we discuss the formulation of weak solution of nonlinear diffusion equation and prove uniqueness of weak solution of nonlinear problem. The anisotropic generalization of sharp operator based diffusion has also been implemented and tested on various types of images.
The introduction of functionalized magnetizable particles for the purification of enzymes or for the multi-use of pre-immobilized biocatalysts offers a great potential for time and cost savings in biotechnological process design. The selective separation of the magnetizable particles is performed for example by a high-gradient magnetic separator. In this study FEM and CFD simulations of the magnetic field and the fluid flow field within a filter chamber of a magnetic separator were carried out, to find an optimal separator design. The motion of virtual magnetizable particles was calculated with a one-way coupled Lagrangian approach in order to test many geometric and parametric variations in reduced time. It was found that a flow homogenisator smoothed the fluid flow, so that the linear velocity became nearly equal over the cross section in the direction of flow. Furthermore the retention of magnetizable particles increases with a high total edge length within the filter matrix.
The introduction of functionalized magnetizable particles and high-gradient magnetic separation represents a time and money saving alternative to conventional purification and separation unit operations in the biotechnical sector. This technique has some advantages especially for the recycling of immobilized enzymes. A new magnetic filter with sight glasses was constructed and produced to study the performance of high-gradient magnetic separation at varied parameters. By optical analysis the buildup of a clogging was identified as the major parameter which affected the separation performance. For the cleaning procedure, a two-phase flow of water with highly dispersed air bubbles was tested which led to a nearly complete cleaning of the filter chamber.
With a radar working in the 24 GHz ISM-band in a frequency modulated continuous wave mode the major vital signs heartbeat and respiration rate are monitored. The observation is hereby contactless with the patient sitting straight up in a distance of 1–2 m to the radar. Radar and sampling platform are components developed internally in the university institution. The communication with the radar is handled with MATLAB via TCP/IP. The signal processing and real-time visualization is developed in MATLAB, too. Cornerstone of this publication are the wavelet packet transformation and a spectral frequency estimation for vital sign calculation. The wavelet transformation allows a fine tuning of frequency subspaces, separating the heartbeat signal from the respiration and more important from noise and other movement. Heartbeat and respiration are monitored independently and compared to parallel recorded ECG-data.
In this paper two simple synthetic aperture radar (SAR) methods are applied on data from a 24 GHz FMCW radar implemented on a linear drive for educational purposes. The data of near and far range measurements are evaluated using two different SAR signal processing algorithms featuring 2D-FFT and frequency back projection (FBP) method (Moreira et al., 2013). A comparison of these two algorithms is performed concerning runtime, image pixel size, azimuth and range resolution. The far range measurements are executed in a range of 60 to 135 m by monitoring cars in a parking lot. The near range measurement from 0 to 5 m are realised in a measuring chamber equipped with absorber foam and nearly ideal targets like corner reflectors. The comparison of 2D-FFT and FBP algorithm shows that both deliver good and similar results for the far range measurements but the runtime of the FBP algorithm is up to 150 times longer as the 2D-FFT runtime. In the near range measurements the FBP algorithm displays a very good azimuth resolution and targets which are very close to each other can be separated easily. In contrast to that the 2D-FFT algorithm has a lower azimuth resolution in the near range, thus targets which are very close to each other, merge together and cannot be separated.
1. Recent reports on insect decline have highlighted the need for long-term data on insect communities towards identifying their trends and drivers.
2. With the launch of many new insect monitoring schemes to investigate insect communities over large spatial and temporal scales, Malaise traps have become one of the most important tools due to the broad spectrum of species collected and reduced capture bias through passive sampling of insects day and night. However, Malaise traps can vary in size, shape, and colour, and it is unknown how these differences affect biomass, species richness, and composition of trap catch, making it difficult to compare results between studies.
3. We compared five Malaise trap types (three variations of the Townes and two variations of the Bartak Malaise trap) to determine their effects on biomass and species richness as identified by metabarcoding.
4. Insect biomass varied by 20%–55%, not strictly following trap size but varying with trap type. Total species richness was 20%–38% higher in the three Townes trap models compared to the Bartak traps. Bartak traps captured lower richness of highly mobile taxa but increased richness of ground-dwelling taxa. The white roofed Townes trap captured a higher richness of pollinators.
5. We find that biomass, total richness, and taxa group specific richness are all sensitive to Malaise trap type. Trap type should be carefully considered and aligned to match monitoring and research questions. Additionally, our estimates of trap type effects can be used to adjust results to facilitate comparisons across studies.
Species distribution models (SDMs) are key tools in biodiversity and conservation, but assessing their reliability in unsampled locations is difficult, especially where there are sampling biases. We present a spatially-explicit sensitivity analysis for SDMs – SDM profiling – which assesses the leverage that unsampled locations have on the overall model by exploring the interaction between the effect on the variable response curves and the prevalence of the affected environmental conditions. The method adds a ‘pseudo-presence’ and ‘pseudo-absence’ to unsampled locations, re-running the SDM for each, and measuring the difference between the probability surfaces of the original and new SDMs. When the standardised difference values are plotted against each other (a ‘profile plot’), each point's location can be summarized by four leverage measures, calculated as the distances to each corner. We explore several applications: visualization of model certainty; identification of optimal new sampling locations and redundant existing locations; and flagging potentially erroneous occurrence records.
In this paper, the radio frequency (RF) behavior of mechanically stressed coaxial and for the first time also twisted-pair transmission lines is investigated over their service life. The main goal is to enable predictive maintenance for cables in moving applications and avoid preventive replacement. This also reduces the use of high-cost resources. For this purpose, stranded and solid-core variants of coaxial and twisted-pair type cables are mechanically loaded on the two-pulley apparatus according to EN 50396. Their RF transmission (S21) behavior is measured using a vector network analyzer and presented over bending cycles. For the first time, the phase response of mechanically loaded transmission lines is evaluated with respect to their service life. Two significant causes for the increasing attenuation and altered phase response are identified: breakage in foil screen and increasing surface roughness on the copper conductors. The identified causes are supported with literature evidence. Through measurements and theoretical calculations, it is proven that the phase is much more suitable for an assessment of the remaining service life than the amplitude. The findings can be used to implement a cable monitoring system in industrial environments which monitors the lines in-situ and reminds the user to replace them, whenever a certain wear-level is reached.
Geometrieerzeugung von Evolventenzahntrieben: Profilverschobene schrägverzahnte Stirnzahnräder
(2022)
In dieser Arbeit wird die Zahnradgeometrie von Stirnrädern berechnet und formatiert, um sie in ein CAD-Programm zu übertragen. Dabei werden die Konturen der Evolvente und der Trochoide nach den gleichen Regel wie bei der Herstellung durch Wälzfräsen erzeugt. Der Anwender hat die Möglichkeit die Haupteigenschaften wie Modul, Zahnkopfspiel und Eckenverrundung einzugeben. Zusätzlich können auch schrägverzahnte, profilverschobene Stirnräder mit Hochverzahnung und Kopfkürzung erzeugt werden.
Per Datenausgabe werden die Koordinaten gespeichert und durch ein Makro in das CAD-Programm übertragen. Aus den beiden Konturzügen wird der 3D-Körper durch Austragen entlang der Helix erzeugt.
Zur Weiterverarbeitung wird die Zahnradgeometrie nach manueller Tesselierung in ein universales Dateiformat exportiert.
Background: Improving movement control might be a promising treatment goal during chronic non-specific low back pain (CLBP) rehabilitation. The objective of the study is to evaluate the effect of a single bout of game-based real-time feedback intervention on trunk movement in patients with CLBP.
Methods: Thirteen CLBP patients (8female;41 ± 16 years;173 ± 10 cm;78 ± 22 kg) were included in this randomized cross-over pilot trial. During one laboratory session (2 h), participants performed three identical measurements on trunk movement all including: first, maximum angle of lateral flexion was assessed. Secondly, a target trunk lateral flexion (angle: 20°) was performed. Main outcome was maximum angle ([°]; MA). Secondary outcomes were deviation [°] from the target angle (angle reproduction; AR) and MA of the secondary movement planes (rotation; extension/flexion) during lateral flexion. The outcomes were assessed by an optical 3D-motion-capture-system (2-segment-trunk-model). The measurements were separated by 12-min of intervention and/or resting (randomly). The intervention involved a sensor-based trunk exergame (guiding an avatar through virtual worlds). After carryover effect-analysis, pre-to-post intervention data were pooled between the two sequences followed by analyses of variances (paired t-test).
Results: No significant change from pre to post intervention for MA or AR for any segment occurred for the main movement plane, lateral flexion (p > .05). The upper trunk segment showed a significant decrease of the MA for trunk extension/flexion from pre to post intervention ((4.4° ± 4.4° (95% CI 7.06–1.75)/3.5° ± 1.29° (95% CI 6.22–0.80); p = 0.02, d = 0.20).
Conclusions: A single bout of game-based real-time feedback intervention lead to changes in the secondary movement planes indicating reduced evasive motion during trunk movement.
The number of additive manufacturing methods and materials is growing rapidly, leaving gaps in the knowledge of specific material properties. A relatively recent addition is the metal-filled filament to be printed similarly to the fused filament fabrication (FFF) technology used for plastic materials, but with additional debinding and sintering steps. While tensile, bending, and shear properties of metals manufactured this way have been studied thoroughly, their fatigue properties remain unexplored. Thus, the paper aims to determine the tensile, fatigue, and impact strengths of Markforged 17-4 PH and BASF Ultrafuse 316L stainless steel to answer whether the metal FFF can be used for structural parts safely with the current state of technology. They are compared to two 316L variants manufactured via selective laser melting (SLM) and literature results. For extrusion-based additive manufacturing methods, a significant decrease in tensile and fatigue strength is observed compared to specimens manufactured via SLM. Defects created during the extrusion and by the pathing scheme, causing a rough surface and internal voids to act as local stress risers, handle the strength decrease. The findings cast doubt on whether the metal FFF technique can be safely used for structural components; therefore, further developments are needed to reduce internal material defects.
The data presented here contain information on cheating behavior from experiments and general self-reported attitudes related to honesty-related social norms and trust, together with individual-level demographic variables. Our sample included 493 university students in five countries, namely, Germany, Vietnam, Taiwan, China, and Japan. The experiment was monetarily incentivized based on the performance on a matrix task. The participants also answered a survey questionnaire. The dataset is valuable for academic researchers in sociology, psychology, and economics who are interested in honesty, norms, and cultural differences.
The concept of Circular Economy (CE) is becoming increasingly important in the pursuit of more sustainable societies. CE strategies are being applied in the sustainable management of a plethora of areas, such as energy, water, food and eco-industrial parks. The present paper focuses on the question of how CE principles can support the sustainable management of water in the agricultural sector around the world, considering different legislative environments, water resources management guidelines, environmental stressors, and CE practices. Considering these practices and circumstances, seven countries were compared: Brazil, Germany, Japan, Mexico, Morocco, Portugal, and Taiwan. Together, CE experts in the seven countries developed a set of 44 criteria to assess each of these areas. Broader establishment and respect of water resources legislation was found to be strongly correlated with lower agricultural water use. While the application of CE practices was found to not be correlated with lower consumption, this is still novel in most countries. Based on the studied countries, it can be concluded that a global CE agenda has not been reached for water resources. Further application and variety of practices is required to better represent the impact of CE on a national scale, but local success stories could support the wider application of CE in agriculture. The findings and the framework of the study can be applied to other countries in directing CE strategies for more sustainable water use in agriculture. Increasing CE implementation, motivated by legislation and better management can help ensure water security throughout nations.
Die umlagefinanzierte gesetzliche Rentenversicherung kann angesichts der demografischen Entwicklung eine auskömmliche Versorgung im Alter bald nicht mehr sichern. Indem die Bürger:innen über eine kapitalgedeckte Alterssicherung am Unternehmensvermögen mittelbar beteiligt werden, könnte die Rentenlücke zumindest teilweise geschlossen werden. Das Unternehmensvermögen sollte bei einem neuen Reformanlauf auch vollständig in die Erbschaftsteuer einbezogen werden; dabei darf aber der Fortbestand der Unternehmen nicht gefährdet werden. Die Erbschaftsteuer auf Unternehmensvermögen könnte dabei als Finanzierungsquelle für eine kapitalgedeckte Altersgrundsicherung dienen.
Disconnection in a left-hemispheric temporo-parietal network impairs multiplication fact retrieval
(2023)
Arithmetic fact retrieval has been suggested to recruit a left-lateralized network comprising perisylvian language areas, parietal areas such as the angular gyrus (AG), and non-neocortical structures such as the hippocampus. However, the underlying white matter connectivity of these areas has not been evaluated systematically so far. Using simple multiplication problems, we evaluated how disconnections in parietal brain areas affected arithmetic fact retrieval following stroke. We derived disconnectivity measures by jointly considering data from n = 73 patients with acute unilateral lesions in either hemisphere and a white-matter tractography atlas (HCP-842) using the Lesion Quantification Toolbox (LQT). Whole-brain voxel-based analysis indicated a left-hemispheric cluster of white matter fibers connecting the AG and superior temporal areas to be associated with a fact retrieval deficit. Subsequent analyses of direct gray-to-gray matter disconnections revealed that disconnections of additional left-hemispheric areas (e.g., between the superior temporal gyrus and parietal areas) were significantly associated with the observed fact retrieval deficit. Results imply that disconnections of parietal areas (i.e., the AG) with language-related areas (i.e., superior and middle temporal gyri) seem specifically detrimental to arithmetic fact retrieval. This suggests that arithmetic fact retrieval recruits a widespread left-hemispheric network and emphasizes the relevance of white matter connectivity for number processing.
Background: In recent years, the volume of medical knowledge and health data has increased rapidly. For example, the increased availability of electronic health records (EHRs) provides accurate, up-to-date, and complete information about patients at the point of care and enables medical staff to have quick access to patient records for more coordinated and efficient care. With this increase in knowledge, the complexity of accurate, evidence-based medicine tends to grow all the time. Health care workers must deal with an increasing amount of data and documentation. Meanwhile, relevant patient data are frequently overshadowed by a layer of less relevant data, causing medical staff to often miss important values or abnormal trends and their importance to the progression of the patient’s case.
Objective: The goal of this work is to analyze the current laboratory results for patients in the intensive care unit (ICU) and classify which of these lab values could be abnormal the next time the test is done. Detecting near-future abnormalities can be useful to support clinicians in their decision-making process in the ICU by drawing their attention to the important values and focus on future lab testing, saving them both time and money. Additionally, it will give doctors more time to spend with patients, rather than skimming through a long list of lab values.
Methods: We used Structured Query Language to extract 25 lab values for mechanically ventilated patients in the ICU from the MIMIC-III and eICU data sets. Additionally, we applied time-windowed sampling and holding, and a support vector machine to fill in the missing values in the sparse time series, as well as the Tukey range to detect and delete anomalies. Then, we used the data to train 4 deep learning models for time series classification, as well as a gradient boosting–based algorithm and compared their performance on both data sets.
Results: The models tested in this work (deep neural networks and gradient boosting), combined with the preprocessing pipeline, achieved an accuracy of at least 80% on the multilabel classification task. Moreover, the model based on the multiple convolutional neural network outperformed the other algorithms on both data sets, with the accuracy exceeding 89%.
Conclusions: In this work, we show that using machine learning and deep neural networks to predict near-future abnormalities in lab values can achieve satisfactory results. Our system was trained, validated, and tested on 2 well-known data sets to ensure that our system bridged the reality gap as much as possible. Finally, the model can be used in combination with our preprocessing pipeline on real-life EHRs to improve patients’ diagnosis and treatment.
For a detailed discussion of process mining, the objective of this paper is the analysis of the successful implementation of process mining in the practical fields of supply chain management. The research comprises the investigation of use cases in companies that are already actively using process mining.
Purpose: This research aims to highlight the applicability of process mining in the supply chain management business field.
Research Methodology: In order to examine the applicability of process mining in supply chain management a research study was conducted among experts in this business field. Further, theoretical findings were compared to the results and evaluated.
Results: Process Mining can be applied very well in the SCM area. The advantages that arise primarily reflect significant potential benefits and improved process throughput times. The information that can be gained from the operational areas supported by process mining is suitable for reliable decisions, both in the tactical and strategic areas.
Limitations: The results on the application of process mining show a certain generalization and have to be adapted and adjusted to the respective application case.
Contribution: This study is useful, especially for the purchasing and logistics business area.
Der Automobilhandel befindet sich in einer momentanen Phase des Umbruchs. Der Trend zum Kauferlebnis online, verstärkt durch die Pandemie, und die durch die Dieselproblematik entfachte Diskussion zum Emissionsausstoß und Fahrverboten für Verbrennungsmotoren im Fahrzeugbereich, treibt den Wandel zu elektrischen Antriebstechnologien an. Durch diese Umstellung ergeben sich neue Möglichkeiten für das Fahrzeug im Bereich der Digitalisierung. Die branchenübergreifende Digitalisierung findet sich auch in den neuen Vertriebssystemen der Automobilhersteller wieder. Hierbei ist zudem eine Veränderung der Absatzkanäle zu beobachten. Der Kunde weicht beim Autokauf davon ab, exklusiv zu dem Händler seines Vertrauens zu gehen und sich hier durch den gesamten Verkaufsprozess hinweg betreuen zu lassen. Vielmehr verschieben sich einzelne Teilbereiche in das Internet. So müssen etablierte Prozesse neugestaltet werden, um weiterhin im Markt und im Wettbewerb bestehen zu können.
Das Ziel dieser Arbeit ist die Beantwortung zweier Forschungsfragen. Zum einen soll der Status-Quo der Digitalisierung von Vertriebsinstrumenten im Autohaus untersucht werden. Konkret geht es dabei um die Frage, in welcher Art und Weise die Digitalisierung den Vertrieb beeinflusst und welche Effekte sich daraus ergeben. Zum anderen stellt sich die Frage wie die Digitalisierung in Form des Internets, als Absatzkanal für die Automobilindustrie geeignet ist, und ob derart komplexe Produkte wie ein Neufahrzeug über diesen Kanal abgesetzt werden können. Weiterhin soll betrachtet werden, welche Veränderungen in den Vertriebsstrukturen das beim stationären Autohändler verursacht.
Die Arbeit befasst sich ausschließlich mit der Digitalisierung bei Vertragshändlern mit Volumenzielen im Neuwagen-Bereich. Damit sind die Luxus- oder Premiummarken ausgeschlossen. Außerdem wird im Autohaus in zwei Kundenkategorien unterschieden. Es gibt die Großabnehmer und die Einzelkunden. Die Großabnehmer sind Unternehmen, die durch eine vordefinierte Anzahl an Mindestabnahmen einen besonderen Status und Konditionen genießen. Die Einzelkunden sind private Abnehmer oder gewerbliche Kunden, die die Mindestabnahme nicht erreichen. Die Arbeit beschränkt sich ausschließlich auf die Analyse und Auswirkungen der Veränderungen im Segment der Einzelkunden.
The integration of genetic algorithms to optimize the networks of value chains could enormously improve the performance of supply chains. For this reason, this paper describes in more detail the application of genetic algorithms in the value chains of the automotive industry. For this purpose, a theoretical model is built up to evaluate whether the application of the model can optimize the value chain. This option is described, analyzed and its restrictions are shown. Instead of looking at the entire network, individual finished goods and their bill of material are used as a basis for optimization, which greatly reduces the complexity of the original problem. The original complexity of the supply chain networks can thus be reduced and considered based on the bill of material.
The future of German pharmacy business models with retail clinics as USP against online pharmacies
(2022)
Purpose: This study aims to discuss the chances of in-store pharmacies through in-store health services, e. g. vaccinations or Covid-19 tests, in Germany. As a result, retail clinics could lead to a USP against online pharmacies. Additionally, the study will show how possible retail clinics could look like and how the acceptance in the population is.
Research Methodology: To conduct the survey, Google Forms was used together with MS Excel for the analysis. Various studies were reviewed, and care was taken to work as closely as possible to practice and its figures from e. g. associations, companies, or statista.
Results: The launch of retail clinics could give German stationary pharmacies a new boost and differentiate them from online pharmacies on the market. Pharmaceutical services are in great demand among the population, hopefully, the legal framework will soon be in place, and the proper services will have to be offered to be able to fully generate the large sales potential.
Discussion and Conclusion: The study only points to a general overview of how health services can help store pharmacies in the competition with online pharmacies in Germany. Yet there are also other possible USPs for store pharmacies, which are not concluded in that study. In addition, the legal framework under which pharmacies operate must be analyzed in detail by legal experts to obtain a precise overview of what is possible for pharmacies in the area of pharmaceutical services and retail clinics. The study is useful for pharmacists, business economists in general as well as in health care management.
A study of industry 4.0 technologies in the John Deere and Company and their impact on company operations is presented in this paper. Deere and Company’s implementation of Industry 4.0 to its factories and its factors was the focus of the research. The literature review with the systematic approach as well as a comprehensive review of current John Deere and Company’s developments is used in the current study. Also, it relied on freely available information on the company website. Public and investor relations have also been used as credible sources of information. An analysis found that adopting industry 4.0 technologies to agriculture manufacturing results in higher quality products, increased productivity, safety, and wider acceptance among stakeholders. This study assumes full implementation of these technologies in all agriculture manufacturing companies, and it also emphasizes up-to-date technologies. Studying this topic can be useful for engineers in mechanical and agricultural fields, managers in business, and marketers.
The objective of this study is to allow a better understanding of the role of industry 4.0 technologies, especially filament extrusion technology in the reduction of costs, environmental impact, energy consumption, and the possibility to expand the range of printable materials. The study focuses on the desktop Filament Extruders available in the market now, where these machines are assessed and future possible modifications for these apparatuses are presented. The research leading to the publication of this study consists of a review of the existing literature, in addition, information from different extruders manufacturers’ websites has been used. The study has demonstrated that the extrusion of material at home is still not an exact science, and the process ends up costing the user large sums of money over time. However, there are still limitations to the use of this technology such as the lack of standardized extrusion settings, the necessity of pre-drying the pellets, and the complexity of the extruder cleaning process after each use.
Implementation strategies of a modern showroom concept for retailers with a wide range of products
(2022)
This paper suggests a new business model based on modern technology for retail. In the age of digitalization, stationary retail is losing market shares to online retail. Therefore, there is an obvious need for change in businesses. The concept developed in this paper combines the strengths of online and stationary retail to benefit stationary retail. In the approach taken in this paper, the basis for change is modern technology. Finding innovative ways to use technologies like NFC, AI, and robotics is regarded as the key factor to sustainable success. As the implementation of modern technologies entails a particular investment, the customers’ opinion on structural changes like these has been included in the consideration. Therefore, a survey has been conducted to find out which level of innovation current customers are willing to accept thus emphasizing the need for certain changes and dissuading specific others. The result of this paper is the modern showroom concept which takes the customers’ opinion into account while implementing the right amount of technology that should pave the way to a sustainable future for stationary retail.
Big Data is now poised to mutate decision-making systems. Indeed, the decision is no longer based solely on the structured information that was hitherto collected and stored by the organization, but also on all data not structured outside the corporate straitjacket. The cloud and the information it contains impacts decisions and the industry is witnessing the emergence of business intelligence 3.0. With the growth of the internet, social networks, connected objects and communication information are now more abundant than ever before, along with rapid and substantial growth in their production. In 2012, 2.5 exabytes of data (one exabyte representing a million gigabytes of data) came every day to swell the ranks of big data (McAfee et al., 2012), which should weigh more than 40 zettabytes from 2020 (Valduriez, 2014) for 30 billion connected devices (The Internet Of Nothings, 2014) and 50 billion sensors (Davenport & Soulard, 2014). One of the most critical aspects of all of this information flow is the impact these will have on the way decisions are made. Indeed, in the part of an environment in which data was scarce and difficult to obtain, it was logical to let decision-making be conditioned by the intuition of the experienced decision-maker (Klein, Phillips, Rall, & Peluso, 2007). However, since information and knowledge are now available to everyone, the role of experts and decision-makers is gradually changing. Big data, in particular, makes it possible for analytical and decision-making systems to base their decision-making on global models. However, considering all the dimensions of the situations encountered, it was not until now that these systems were not within the reach of man, but were rationally limited (Simon & Newell, 1971). Big data and however, the processing of unstructured data requires modifying the architecture of decision support systems (DSS) of organizations. This paper is an inventory of developments undergone by aid systems decision-making, under the pressure of big data. Finally, it opens the debate on ethical questions raised by these new technologies, and it is observed that now, data analysis of personal data has become more debatable than in the past.
Railroads, roads, rivers, and airways are the most common modes of transportation for people and commodities. The cost of different ways of transportation varies according to distance, luxury, size, fragility, and other factors. When the following factors are accounted for, the vehicle might become prohibitively expensive for many individuals. A new means of conveyance has been developed. Elon Musk initially proposed it as the fifth mode of transportation in 2012. For commuters and goods, Hyperloop offers a quick and cost-effective way of transportation. The Hyperloop is essentially a vacuum tube train that transports people or products at incredible speeds while efficiently. Compared to traditional forms of transportation, the Hyperloop is ideal since it is highly energy-efficient, quiet, and self-contained. Increased cargo delivery speeds will be the most evident benefit of this idea to the industry. Hyperloop also has the potential to make a significant contribution to green supply chains. It is a carbon-free form of transportation that has changed inland freight transportation and maritime and air freight transit. It can move freight below, above ground, and under-water. The aim of this paper is to explain this new innovative technology as a development for logistic concepts.