bluuebunny/crossref_metadata_2025_split huggingface dataset:
Summer roost site selection of a declining bat species
Authors: Williams Sarah C. , Krueger Sarah K. , Zirkle Gene A. , Haase Catherine G. 
Published: October 2024

Abstract
Summer habitats are critical to bat population persistence as they support multiple life history stages, including maternity colonies, nursery sites, and foraging locations. The tricolored bat (Perimyotis subflavus) is a hibernating North American bat species that uses forested landscapes during summer months; however, information on the summer habitat requirements is limited. The objective of this work was to quantify the characteristics of roost sites selected by tricolored bats during summer months. We captured, tagged, and tracked 15 bats using radio-telemetry to 55 roost locations. At each roost, we recorded roost habitat characteristics and other forest characteristics within a 0.1 ha circular plot surrounding the roost tree and a 1 km buffer at the landscape scale. We repeated these measurements for three random trees per roost tree to characterize available habitat for selection. We used a suite of mixed conditional logistic regression models to test multiple factors known to influence roost-site selection for various bat species and compared using Akaike information criterion to select the best model. The top model at the roost scale demonstrated that roost selection was influenced by roost tree height, while the landscape scale was influenced by deciduous forest and distance to roads. There is a critical information gap for the ongoing recovery of tricolored bats; better understanding of summer habitat and proper forest management implications, as well as information on scale-specific habitat selection, is needed to better understand tricolored bat management needs.
Thinking with Children: Climate Change and the Democratic Politics of Renewal and Risk
Authors: Bray Daniel , Nakata Sana 
Published: October 2024

AbstractClimate change poses serious political challenges to liberal democracies arising from the problem of short-termism and the priority accorded to the vested interests of present adults over the vulnerabilities of children and future generations. This article aims to analyse the justifications, benefits, and policy implications of centring children in climate change politics in order to overcome these problems. The central argument is that ‘thinking with children’ introduces normative vantage points for tackling climate change based on taking responsibility for future harms. Such a vantage point also produces new sites of contestation shaped by adult representations of the renewal and risk embodied in children. First, we outline what “thinking with children” means for democratic politics, focussing on how child-as method approaches centre the injustices faced by children and youth and the implications for the renewal of democracy. We then analyse how this normative shift to centre children addresses the problems of vested interests and short-termism by de-naturalising present adult interests, foregrounding impacts on young people as the future demos, and giving long-term priority to the affectedness of future generations. Finally, we analyse the policy implications that thinking with children offers, using a recent landmark court case in Australia to propose independent legal standing for children in public interest cases and the introduction of Child Impact Assessments in climate policymaking.
Cohort Profile: TRacing Etiology of Non-communicable Diseases (TREND): Rationale, Progress and Perspective
Authors: Ren Hui-Ying , Lv Ying , Ma Bei-Ning , Gao Chang , Yuan Hong-Mei , Meng Hai-Hong , Cao Zheng-Qian , Chen Ya-Ting , Zhang Yan-Xi , Zhang Yu-Ting , Liu Wei , Fan Yu-Ping , Li Meng-Han , Wu Yu-Xuan , Feng Zhuo-Yue , Zhang Xin-Xin , Luo Zhen-Jian , Tang Qiu-Yi , Wesselius Anke , Chen Jian , Luo Hong-Xing ,   TREND Cohort Study, Qin Qi-Rong , Chen Lianmin , Yu Evan Yi-Wen 
Published: October 2024

AbstractThe TRacing Etiology of Non-communicable Diseases (TREND) cohort is a prospective longitudinal cohort and biobank that is mainly based in Ma’anshan, Anhui Province, China. The primary aim of the study is to decipher comprehensive molecular characterization and deep phenotyping for a broad spectrum of chronic non-communicable diseases (NCDs), which focuses on providing mechanistic insights with diagnostic, prognostic and therapeutic implications. The recruitment was initiated in 2023 and is expected to complete in 2025 with 20,000 participants originated from urban and rural area. In the first phase, 3360 participants were recruited. Follow-up visits are scheduled annually and intervally for a total of 30 years. The cohort includes individuals aged over 18 years. Two participants with first-degree linkage were recruited from a household. The age distribution of recruited participants was stratified into four categories: 18–45, 45–55, 55–65, and ≥65 years, aligning with the population proportions of Ma’anshan. Meanwhile, the gender distribution was controlled by pairing men and women from the same household. Data collected at baseline includes socio-economic information, medical history, lifestyle and nutritional habits, anthropometrics, blood oxygen, electrocardiogram (ECG), heart sound, as well as blood, urine and feces tests results. Molecular profiling includes genome, proteome, metabolome, microbiome and extracellular vesicles -omics. Blood, urine and fecal samples are collected and stored at −80 °C in a storage facility for future research.
AI versus AI for democracy: exploring the potential of adversarial machine learning to enhance privacy and deliberative decision-making in elections
Authors: Auliya Syafira Fitri , Kudina Olya , Ding Aaron Yi , Van de Poel Ibo 
Published: October 2024

AbstractOur democratic systems have been challenged by the proliferation of artificial intelligence (AI) and its pervasive usage in our society. For instance, by analyzing individuals’ social media data, AI algorithms may develop detailed user profiles that capture individuals’ specific interests and susceptibilities. These profiles are leveraged to derive personalized propaganda, with the aim of influencing individuals toward specific political opinions. To address this challenge, the value of privacy can serve as a bridge, as having a sense of privacy can create space for people to reflect on their own political stance prior to making critical decisions, such as voting for an election. In this paper, we explore a novel approach by harnessing the potential of AI to enhance the privacy of social-media data. By leveraging adversarial machine learning, i.e., “AI versus AI,” we aim to fool AI-generated user profiles to help users hold a stake in resisting political profiling and preserve the deliberative nature of their political choices. More specifically, our approach probes the conceptual possibility of infusing people’s social media data with minor alterations that can disturb user profiling, thereby reducing the efficacy of the personalized influences generated by political actors. Our study delineates the boundary of ethical and practical implications associated with this ‘AI versus AI’ approach, highlighting the factors for the AI and ethics community to consider in facilitating deliberative decision-making toward democratic elections.
Frontrunner model for responsible AI governance in the public sector: the Dutch perspective
Authors: Popa Diana Mariana 
Published: October 2024

AbstractAcross the European Union, considerable discrepancies can be observed regarding the current state of AI adoption in the public sector and the complexity of functioning AI governance structures. This can be attributed to diverse levels of digitalisation, AI maturity and governance styles across EU member states. In the field of AI implementation and AI governance models in the public sector the frontrunner is the Netherlands, scoring first in the Global Index on Responsible AI. Analysing this example of good practices in terms of AI governance, with a focus on the delegation acceptance perspective, is of relevance for the state of art on AI governance within the EU. The article looks into the structure of the public Dutch Algorithm Register which currently contains over 400 entries, the AI framework for the public sector, supervisory structures in place and risks management approaches, addressing the importance of values in the development and deployment of AI systems and algorithms. The article demonstrates how in the case of AI also, early adaptors shape future behaviours, thus carrying a burden of responsibility when developing and deploying key enabling technologies in line with the core values.
Strategic environmental assessment for sustainable coastal zone management in Saudi Arabia, aligning with vision 2030
Authors: Hegazy Ibrahim 
Published: October 2024

AbstractThis research examines the role of Strategic Environmental Assessment (SEA) in promoting sustainable coastal zone management in Saudi Arabia, in alignment with Vision 2030. Focusing on key coastal regions, namely the Red Sea and Arabian Gulf, the study explores SEA’s capacity to guide development activities toward long-term environmental sustainability. Through a comparative analysis of SEA and traditional Environmental Impact Assessments (EIA), the study emphasizes SEA’s proactive, integrative, and participatory approach to decision-making. The findings illustrate how SEA enhances the strategic alignment of national environmental objectives by fostering resilient and sustainable strategies that balance development with conservation in Saudi Arabia’s coastal zones. Ultimately, SEA is identified as a crucial instrument in achieving Vision 2030’s sustainability goals, offering a pathway to safeguard coastal ecosystems while supporting economic growth.
Influences of economy, energy, finance, and natural resources on carbon emissions in Bangladesh
Authors: Raihan Asif , Rahman Junaid , Tanchangya Tipon , Ridwan Mohammad , Bari A. B. M. Mainul 
Published: October 2024

AbstractUnderstanding the risks posed to humankind, the environment, and overall growth requires a deep exploration of the profound impact of greenhouse gas (GHG) emissions, especially carbon dioxide (CO2), on global climate change. This study explores the complex relationships among economic extension, energy utilization, financial progress, natural resource rents, and CO2 emissions in Bangladesh. By analyzing annual data from 1974 to 2022, our analysis reveals a long-term connection between the variables, as evidenced by the autoregressive distributed lag (ARDL) bounds test. We found that for every 1% rise in economic growth, energy use, financial progress, and natural resource rents, CO2 emissions rise by 0.13%, 1.50%, 0.39%, and 0.04%, respectively. This is based on the dynamic ordinary least squares (DOLS) method. The outcomes are further supported by the canonical cointegrating regression (CCR), followed by fully modified ordinary least squares (FMOLS). By illuminating the causes of Bangladesh's environmental degradation, this study offers actionable policy suggestions aimed at fostering sustainable growth and enforcing strict regulations that effectively mitigate environmental harm.
Graphical Abstract
A tutorial on ‘capped utilisation’ as a metric and key performance target in NHS England’s Model Hospital operating theatres database: caution for international healthcare systems
Authors: Zhang Chen , Dunstan Claire , Pandit Jaideep J. 
Published: October 2024

AbstractThe National Health Service (NHS) in England has set hospitals a target of achieving > 85% in a metric called ‘capped theatre utilisation’ (CTU), as central to its post-pandemic surgical waiting list recovery planning. This could serve as a model internationally, as other countries seek to improve operating theatre efficiency. Our review presents an analysis of what CTU means in the context of other measures of theatre ‘utilisation’, serving as a tutorial for clinical leaders, managers and all staff involved in theatres better to understand the metrics sometimes being used to assess their performance. We present results of a theoretical sensitivity analysis to assess how CTU values vary for hypothetical operating lists of three different structures (number of cases, their duration, and intercase gap times), as the stated start and finish times are shifted backwards and forwards in time. We then present results of our interrogation of the NHS Model Health Operating Theatres database to assess hospitals' CTU performance over three years. We discovered that in theory, CTU was especially sensitive to both stated list start times and list structure. The relationship to start time was asymmetric: early starts in one list did not compensate for loss of CTU value with late start in another list, when values were averaged across lists. This sensitivity analysis also predicted wide weekly CTU fluctuations, with values < 85% more likely than > 85%, especially for tertiary referral centres predominantly undertaking long, complex procedures. Our interrogation of the database confirmed these predictions. Moreover, we discovered many instances of implausible CTU values and underlying patterns indicating fundamental flaws in the CTU algorithm, rather than data entry errors. We conclude that CTU, and the NHS target of 85%, is not a suitable metric for operating theatre performance. It has proved unachievable in any sustainable way, and its underlying algorithm produces aberrant values. We discuss the serious consequences of basing other national policies or funding models on a fundamentally flawed metric. These results have lessons for international healthcare systems.
Hepatitis B surface antigen reverse seroconversion after hematopoietic stem cell transplantation according to the baseline serological marker levels and vaccination status: a single-center database analysis
Authors: Kang Soo Young , Ko Heejoo , Lee Raeseok , Park Sung-Soo , Han Seunghoon 
Published: October 2024

Abstract
Purpose
Hepatitis B is a major prognostic factor after hematopoietic stem cell transplantation (HSCT). Currently, no consensus exists regarding the management of various scenarios that can lead to reverse seroconversion of the hepatitis B surface antigen (HBsAg-RS). This study focused on HBsAg-RS, which serves as an indicator of active hepatitis, and aimed to obtain exploratory information on the associated patient and treatment factors.

Methods
This single-center retrospective study utilized clinical data extracted from the electronic medical records of Seoul St. Mary’s Hospital, Korea. Patients who underwent HSCT between January 2013 and December 2018 and tested negative for hepatitis B surface antigen (HBsAg) before undergoing HSCT were included. The associations between HBsAg-RS and demographic information, baseline hepatitis B serological markers, and vaccination status were statistically analyzed.

Results
This study included 1,344 patients, of whom 83.3% tested positive for the hepatitis B surface antibody (HBsAb) during HSCT. HBsAg-RS occurred in 2.2% of HBsAb-negative patients and 3.0% of HBsAb-positive patients, indicating no significant difference in reactivation rates according to HBsAb status. However, positivity for hepatitis B core antibody (HBcAb) was significantly associated with hepatitis B reactivation (HBsAg-RS rate: 8.0%). The vaccination rates were highest in patients who were negative for both HBsAb and HBcAb and had a transient protective effect.

Conclusion
The sufficient patient population enabled the identification of an association between baseline HBcAb positivity and the development of HBsAg-RS. Further prospective studies are warranted to determine optimal vaccination strategies for preventing HBsAg-RS.
Assessing the effects of fjord geometry on Greenland tidewater glacier stability
Authors: Fischer Elizabeth , Aschwanden Andy 
Published: October 2024

Abstract
Tidewater glaciers frequently advance and retreat in ways uncoupled from climate forcing. This complicates the task of forecasting the evolution of individual glaciers and the overall Greenland ice sheet, much of which is drained by tidewater glaciers. Past observational research has identified a set of processes collectively known as the tidewater glacier cycle (TGC) to describe tidewater glacier evolution in four stages: the advancing stage, the extended stage, the retreating stage and the retreated stage. Once glacier retreat is initiated, the TGC is thought to depend largely on the glacier's calving rate, which is controlled by fjord geometry. However, there has been little modeling or systematic observational work on the topic. Measuring calving rates directly is challenging and thus we developed an averaged von Mises stress state at the glacier terminus as a calving rate proxy that can be estimated from surface velocities, ice thickness, a terminus position and subglacial topography. We then analyzed 44 tidewater glaciers in Greenland and assessed the current state in the TGC for them. Of the 44 glaciers, we find that fjord geometry is causing instability in ten cases, vs stability in seven, with 11 in rapid retreat and 16 have been historically stable.
Modelling lateral meltwater flow and superimposed ice formation atop Greenland's near-surface ice slabs
Authors: Clerx Nicole , Machguth Horst , Tedstone Andrew , van As Dirk 
Published: October 2024

Abstract
At high elevations on the Greenland ice sheet meltwater percolates and refreezes in place, and hence does not contribute to mass loss. However, meltwater generation and associated surface runoff is occurring from increasingly higher altitudes, causing changes in firn stratigraphy that have led to the presence of near-surface ice slabs. These ice slabs force meltwater to flow laterally instead of percolating downwards. Here we present a simple, physics-based quasi-2-D model to simulate lateral meltwater runoff and superimposed ice (SI) formation on top of ice slabs. Using an Eulerian Darcy flow scheme, the model calculates how far meltwater can travel within a melt season and when it appears at the snow surface. Results show that lateral flow is a highly efficient runoff mechanism, as lateral outflow exceeds locally generated meltwater in all model gridcells, with total meltwater discharge sometimes reaching more than 30 times the average amount of in situ generated melt. SI formation, an important process in the formation and thickening of the ice slabs, can retain up to 40% of the available meltwater, and generally delays the appearance of visible runoff. Validating the model against field- or remote-sensing data remains challenging, but the results presented here are a first step towards a more comprehensive understanding and description of the hydrological system in the accumulation zone of the southwestern Greenland ice sheet.
Labour Women MPs and Housewifery in the House of Commons, 1945–1951
Authors: Jenkins Lyndsey 
Published: October 2024

Abstract
This article analyses how Labour women MPs championed the needs of ‘the housewife’ in parliament in order to improve the lives of women, especially working-class women, during the Attlee administration. Relying on personal experience to make their case, these women spoke as housewives, not just for housewives, using gendered experiences for political ends. This article examines how they applied the politics of housewifery to two specific contemporary economic challenges: the cost of living and the impact of taxation. In doing so, and in contrast to the established literature, it shows how far Labour women were prepared to challenge party and government policy on behalf of women. It thus contributes to historiographical debates about the Labour party’s relationship to consumerism and affluence as well as gender and austerity. Building on Brian Harrison’s influential study of interwar women MPs, it also responds to a recent call made by Miles Taylor in this journal for more attention to women as legislators in the post-war period. Methodologically, it emphasizes the benefits of qualitative analysis of ‘big data’ sources.
Migrants serving migrants? Representative bureaucracy at the front lines of migration management
Authors: Glyniadaki Katerina 
Published: October 2024

AbstractThe ways in which minority street-level bureaucrats construe their identities as state representatives and as representatives of minority clients are known to inform their discretionary behavior toward clients, thereby shaping policy outcomes. While existing studies have examined race and ethnicity as shared identities between minority bureaucrats and clients, the role of “migrant” identity has been overlooked. Focusing on the so-called European migration crisis of 2015–2017, this study addresses this gap. Drawing on qualitative interviews with migrant bureaucrats, it examines how being simultaneously a migrant and a migration policy implementer shapes bureaucratic discretion. This article introduces the notion of “migrant representative” and identifies four profiles of migrant bureaucrats, each corresponding to different degrees of identification with the local migration management system and the migrant clients. In doing so, it contributes to the literature on representative bureaucracy and the debate on the linkage between passive and active representation.
A novel real-time tension distribution method for cable-driven parallel robots
Authors: Song Da , Lu Ming , Zhao Lei , Sun Zhichao , Wang Haochen , Zhang Lixun 
Published: October 2024

AbstractThe tension distribution problem of cable-driven parallel robots is inevitable in real-time control. Currently, iterative algorithms or geometric algorithms are commonly used to solve this problem. Iterative algorithms are difficult to improve in real-time performance, and the tension obtained by geometric algorithms may not be continuous. In this paper, a novel tension distribution method for four-cable, 3-DOF cable-driven parallel robots is proposed based on the wave equation. The tension calculated by this method is continuous and differentiable, without the need for iterative computation or geometric centroid calculations, thus exhibiting good real-time performance. Furthermore, the feasibility and rationality of this algorithm are theoretically proven. Finally, the real-time performance and continuity of cable tension are analyzed through a specific numerical example.
Revisiting the Cassini States of synchronous satellites with an angular momentum approach
Authors: Coyette Alexis , Baland Rose-Marie , Van Hoolst Tim 
Published: October 2024

AbstractLike our Moon, the large icy satellites of Jupiter are thought to be in a Cassini State, an equilibrium rotation state characterized by a synchronous rotation rate and a precession rate of the rotation axis equal to that of the normal to the orbit. In these equilibrium states (up to four Cassini States are possible for a solid and rigid satellite), the spin axis of the satellite, the normal to its orbit and the normal to the inertial plane remain coplanar with an obliquity that remains theoretically constant. However, as the gravitational torque exerted on the satellite shows small periodic variations, the orientation of the rotation axis will also vary with time and nutations in obliquity will appear.Here we present a dynamical model for the study of the Cassini States. This model includes the coupling between the polar motion and the spin axis precession/nutation which is neglected in the classical studies. We study the influence of the triaxiality of Ganymede on its four possible Cassini States, use a Toy model of the Moon to illustrate the nutations in obliquity obtained with the dynamical model, and investigate the influence of the presence of a subsurface ocean on the Cassini State I of Europa.