https://opendata.uni-halle.de//handle/123456789/2 2026-04-26T01:54:07Z 2026-04-26T01:54:07Z Beaurepaire, Alexis Theodorou, Panagiotis [und viele weitere] https://opendata.uni-halle.de//handle/1981185920/125131 2026-04-24T01:08:43Z 2026-01-01T00:00:00Z

Title: Advancing pollinator science : a new global and integrative research platform Author(s): Beaurepaire, Alexis; Theodorou, Panagiotis; [und viele weitere] Abstract: Background Pollinators comprise a taxonomically diverse group – including insects, mammals, birds, and more rarely, amphibians, reptiles, and even gastropods – that support wild plant communities and underpin global food production systems (Klein et al. 2007; Rader et al. 2015; Siopa et al. 2024). However, numerous pollinator populations are undergoing rapid declines across multiple regions and ecosystems (e.g., Regan et al. 2015; Potts et al. 2016; Seibold et al. 2019; Warren et al. 2021; Stewart et al. 2024). These declines stem from interacting anthropogenic pressures (Fig. 1), including habitat loss and fragmentation, pollution, climate change, land-use intensification, and the spread of pests and pathogens (Dicks et al. 2021). Understanding the combined effects of these pressures is essential for developing effective and scalable mitigation strategies that can be implemented across sectors – ranging from policy, education and land management to agricultural practice and community-led conservation (Potts et al. 2011; Hölting et al. 2022; Stout and Dicks 2022). Pollinator research encompasses much more than the study of environmental stressors and the conservation of these vital organisms. It spans fundamental biology, ecological interactions, evolutionary processes, agroecological systems, economics, cultural relationships, and social dimensions. However, current research and management efforts remain fragmented: studies sometimes focus on single taxa, ecological scales and socio-economic contexts – separated by disciplinary boundaries, specialised funding schemes, and siloed publication landscapes. As a result, the pollinator evidence base is fragmented and biased, with a disproportionate emphasis on Europe and North America, bees, agricultural systems, and crop pollination. Advances in Pollinator Research (APR) seeks to address these imbalances by encouraging research from underrepresented regions, taxa, and ecological contexts. Meeting the global challenge of pollinator losses requires an environment where information flows openly and easily between fields, helping transdisciplinary collaboration – with farmers, Indigenous communities, policymakers, industry, NGOs, and citizen scientists – to become central to knowledge co-production. A dedicated platform that integrates different perspectives, encourages methodological transparency, and provides global access to research is therefore essential.

2026-01-01T00:00:00Z Schubert, Franziska Schulze, Zacharias Joel Wienke, Andreas Unverzagt, Susanne Michel, Zora Chandra, Larissa Führer, Amand-Gabriel https://opendata.uni-halle.de//handle/1981185920/125129 2026-04-24T01:07:46Z 2026-01-01T00:00:00Z

Title: Built environment and childhood obesity : a systematic review of the European literature Author(s): Schubert, Franziska; Schulze, Zacharias Joel; Wienke, Andreas; Unverzagt, Susanne; Michel, Zora; Chandra, Larissa; Führer, Amand-Gabriel Abstract: Background: Childhood obesity is a major public health issue, identifying pathways to it is crucial. The term “obesogenic environment” describes neighborhood traits linked to higher obesity risk, but it’s unclear which environmental factors increase this risk and which neighborhood changes can improve outcomes. Methods: Articles published between 2000 and June 2024 from PubMed, Cochrane Library, and Web of Science databases conducted in EuropeanUnion countries were included, focusing on children aged 0-18. Results: We found 2,531 articles initially and 1,278 in a second search, with 43 meeting all the criteria. Studies examined green space, air and noise pollution, facility richness, sports facilities, food environment, land-use mix, housing, walkability, street connectivity, and traffic. Only food environment and green space showed associations with childhood obesity, which mostly disappeared after adjusting for individual socioeconomic factors. Other environment variables showed no consistent associations. Further research is needed to understand how neighborhood properties influence childhood obesity.

2026-01-01T00:00:00Z Ramirez, Keno Brian C. Ong, Ardvin Kester S. https://opendata.uni-halle.de//handle/1981185920/125127 2026-04-23T20:01:45Z 2025-12-01T00:00:00Z

Title: Identification of Factors Affecting Government Job Satisfaction : A Macroergonomic Perspective from the Philippines Author(s): Ramirez, Keno Brian C.; Ong, Ardvin Kester S. Abstract: This study examines the relationships among job demands, job resources, job satisfaction, organizational commitment, and job productivity within the public sector. Grounded in the Job Demands–Resources (JD-R) framework, the research investigates how work-related factors and personal resources influence employee attitudes and performance outcomes. Using survey data collected from public servants, structural equation modeling (SEM) was employed to test the proposed hypotheses. The results indicate that job demands significantly influence job satisfaction, while job resources contribute positively to both job satisfaction and organizational commitment. Organizational commitment was found to mediate the relationship between job satisfaction and job productivity, confirming its central role in translating employee attitudes into performance outcomes. In contrast, psychological safety and public service motivation did not demonstrate statistically significant effects within the final model and were excluded from further analysis. These findings suggest that, in this context, structural and organizational factors play a more substantial role than individual motivational constructs. The study highlights the importance of strengthening job resources and fostering supportive work environments to enhance employee satisfaction, commitment, and productivity in public sector organizations. Practical implications include the need for management strategies that prioritize resource availability, role clarity, and employee engagement to improve organizational performance.

2025-12-01T00:00:00Z Huang, Din-Yuang https://opendata.uni-halle.de//handle/1981185920/125126 2026-04-23T20:01:27Z 2025-12-01T00:00:00Z

Title: Ethical Risks and Improvement Potentials of AI Tools in Carbon Footprint Calculation: The Case of XAI Author(s): Huang, Din-Yuang Abstract: This study aims to explore the ethical risks from AI tools in carbon footprint calculation applications, especially focusing on Explainability and Transparency. Although AI provides convenient computing, the problem of “black box” may lead to a variety of ethical concerns caused by computing. This study first systematically reviews multiple documents and analyses to understand the initiatives for AI ethics and the risks arising from unexplainability and opacity. This study proposes Explainable Artificial Intelligence (XAI) as a solution to mitigate these ethical risks. The paper further explores how XAI can improve the transparency of carbon footprint calculation and its specific implementation by users through simulation of real-world scenarios. The Results show that XAI technology can transform AI's abstract predictions into mathematically rigorous and actionable evidence, enabling users to implement specific carbon reduction behaviours in their lives. Ultimately, this research contributes to the growing discourse on responsible AI by demonstrating how explainable models can foster trust, accountability, and sustainability in data-driven environmental decision-making.

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