bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanism of risk perception diffusion in public health emergencies: Based on the dual perspectives of cross‐evolution and emotional difference
Authors: Zhang Yueqian , Li Xinchun , Liu Quanlong , Fa Ziwei , Qiu Zunxiang 
Published: December 2024

AbstractThe high‐level risk perception diffusion caused by public health emergencies seriously threatens public mental health and social stability. Much scholarly attention focused on the traditional epidemic models or simply combined content and social attributes, overlooking the differences in public individual characteristics. This paper proposes an S1S2EIposIneuInegR model of risk perception diffusion by innovatively subdividing susceptible people and infectious people. Then, taking the Xi'an epidemic as an example (N = 105,417), this paper employs the sentiment analysis model of Word2Vec and Bi‐LSTM to calculate the emotional value of microblog text to quantify public risk perception. Finally, numerical experiments are conducted to explore the effects of cross‐evolution and emotional difference on risk perception diffusion under different scenarios. Findings reveal that a larger initial density of infectious people accelerates diffusion, with negative emotions playing a dominant role. In addition, the higher the risk perception level and the lower the heterogeneity, the greater the maximum impact and the final scale of diffusion. When the public health emergency deteriorates, the cross‐evolution tends to shift to a high‐risk perception. Otherwise, it tends to tilt to a low‐risk perception. These findings provide critical insights for developing precise risk perception guidance strategies and enhancing public health governance capabilities.
Daily health and well‐being in adulthood and old age: The role of adverse childhood experiences
Authors: Potter Sophie , Bridger Emma , Drewelies Johanna 
Published: December 2024

AbstractHow susceptible our daily affect is to fluctuations in physical health indicates how well we adapt to everyday health challenges. Adverse childhood experiences (ACEs) are known to have a lasting impact on everyday emotion regulation and adaptation across the lifespan, but less is known about whether and how such adversity is linked to the susceptibility of affect to everyday health challenges. This study therefore tested whether ACEs were associated with daily reports of positive and negative affect and examined weather they moderated emotional reactions to daily physical symptoms in adulthood and old age. We used data from the National Study of Daily Experiences 2 (NSDE‐2) in which middle‐aged and older adults (N = 2,022; Mage = 56 years; range: 33–84) reported symptoms and affect on eight consecutive evenings. Multi‐level models indicated that cumulative ACEs as well as two individual childhood adversities (i.e. physical and sexual abuse by a parent) were independently associated with exacerbated increases in negative affect on days with more symptoms. Findings add to literature on the role of early adversity for the maintenance of everyday well‐being and highlight the potential importance of such experiences for coping and adaption in the face of daily health challenges across adulthood and old age.
Assessing the evolution of carbon emissions of large companies: An index‐based approach
Authors: Valayden Ananda , Chabaud Didier 
Published: December 2024

AbstractAccording to the Carbon Disclosure Project, the world's largest 100 companies are responsible for 71% of global greenhouse gas emissions since 1988. However, seven years after the adoption of the Paris Agreement, these companies' efforts remain insufficient as they have not significantly altered the dangerous trajectory of greenhouse gas emissions. Current methods used to quantify company‐level emissions offer limited insights, often providing overall scores or evaluating CSR's impact on performance. To address this, we developed a refined methodology focusing on the carbon footprint within the environmental dimension. Our methodology, which is extendable to other companies and regions like the London Stock Exchange or S&P 500, assesses the evolution of CAC 40 companies' carbon footprints relative to their revenues. Comparing their progress to sector peers between 2016 and 2020 allows us to track performance, benchmark against industry standards, and identify areas for improvement. Based on their carbon emissions, we categorized companies as leaders, laggards, or non‐reporters, enabling actionable recommendations. Our findings indicate decreased direct emissions but a concerning trend of increasing indirect emissions, suggesting outsourced carbon footprints within the value chain. This raises suspicions of greenwashing practices, warranting further investigation.
A network analysis to explore illness perceptions in Black adults with type 2 diabetes
Authors: Wen Meng‐Jung , Zou Tongtong , Bolt Daniel M. , Shiyanbola Olayinka O. 
Published: December 2024

AbstractObjectivesThis study explores the structure of beliefs about type 2 diabetes among Black adults and informs potential targets to reframe negative beliefs and enhance diabetes self‐management.Research Design and MethodsWe applied network analysis to investigate the interrelated structure and clusters of beliefs about diabetes and identify specific items that could serve as behavioural targets. We obtained self‐reported survey data from 170 Black adults with type 2 diabetes. Regularised partial correlation networks and a Gaussian graphical model were used to explore and visualise the interrelationship among 21 items of a culturally adapted Illness Perception Questionnaire‐Revised.ResultsOverwhelming negative emotions representing the current and long‐term effects of diabetes were central to the illness perceptions network among Black adults, with feeling depressed having the highest node strength of centrality indices in the network. Four beliefs had a bridging effect with the central cluster: diabetes taking away the ability to enjoy food, diabetes keeping me away from the job I want, being poor contributed to my having diabetes, and I receive encouragement from friends and family.ConclusionsIn addition to highlighting the overwhelming feeling of diabetes, the illness perception network further differentiated the role of racial identity and social determinants of health as discrete, though both are related sociocultural influence constructs. To enhance self‐management for Black adults with type 2 diabetes, this network informs promising intervention targets focused on culturally tailored education related to emotional regulation, internalised stigma and healthy food adaptation, and leveraging support to address social determinants of health.
Identity categories and the dilemma of calling police about family violence
Authors: Tennent Emma , Weatherall Ann 
Published: December 2024

AbstractThe under‐reporting of family violence is a global problem. Multiple barriers to help‐seeking have been identified, including some associated with social identities like race, age and gender. This discursive psychology study examines identity and help‐seeking in social interaction. We analysed 200 calls classified by police call‐takers as family harm using conversation analysis and membership categorization analysis. We found that callers oriented to a locally generated identity category ‘the one who called police’ as problematic. Callers sought anonymity or proposed cover stories to avoid being identified by others. Anonymity raised practical problems for recording callers' names and cover stories raised questions about the legitimacy of alternative accounts for police contact. We found callers' concerns with being identified create a dilemma produced through competing moral judgements tied to coexisting institutional and relational identity categories. Participants display understandings that calling the police may be the right thing to do as a help‐seeker, but the wrong thing to do as a friend or family member. Our findings reveal how a locally generated identity category was observable as a force shaping help‐seeking in real‐time high‐stakes encounters.
Climate futures: Scientists' discourses on collapse versus transformation
Authors: Finnerty Samuel , Piazza Jared , Levine Mark 
Published: December 2024

AbstractThe climate and ecological crisis poses an unprecedented challenge, with scientists playing a critical role in how society understands and responds. This study examined how 27 environmentally concerned scientists from 11 countries construct the future in the context of climate change, applying a critical discursive psychology analysis. The degree to which the future is constructed as predetermined or transformable impacts both the urgency and scope of proposed actions. Along a temporal spectrum from fixed and inevitable to contingent and transformable, scientists drew upon shared discourses of social and ecological collapse. The degree of fixity or openness in scientists' talk about the future shaped the range of arguments available, demonstrating varying levels of argumentative flexibility when framing solutions to climate change. At the fixed end, the future was presented as beyond human intervention, echoing doomist discourse. By contrast, more open framings presented collapse not as inevitable but as transformable through human agency. Here, collapse discourses were presented as warnings, motivating arguments that drew upon a wide array of strategies from collective action to technological innovation. These constructions of the future highlight scientists' role in shaping societal discourse and framing what actions are seen as viable or necessary to address the climate crisis.
Long‐term stability of tropical forest metacommunities in Puerto Rico: Native and non‐native species
Authors: Presley Steven J. , Rojas‐Sandoval Julissa , Willig Michael R. 
Published: December 2024

AbstractAnthropogenic disturbances alter trajectories of ecological succession, introduce spatiotemporal variability in the composition of communities, and potentially create communities that differ substantially from those prior to disturbance. Invasive species are introduced or spread by human activities, with considerable effect on native ecosystems throughout the world. We evaluate the temporal stability of woody plant metacommunity structures and the mechanisms that give rise to them in a tropical disturbance‐mediated environment. We used data collected over 20 years to (1) evaluate elements of metacommunity structure, (2) identify the gradients along which metacommunities are structured, and (3) quantify the relative contributions of environmental and spatial factors on variation in species composition. Analyses were conducted separately for combinations of life zone (areas defined by edaphic features and climate) and species origin (native versus non‐native). Native species exhibited compartmentalized structures (i.e., groups of species with similar distributions that are replaced by other such groups along a gradient), whereas non‐natives exhibited random structures. Metacommunities based on all species were consistently compartmentalized, except in dry forest, which exhibited random structure. Compartmentalized structures occurred along gradients defined by life zone and soil type, whereas no environmental factors were consistently associated with random structures. Metacommunity structure was stable through time despite a complex disturbance regime. Dry forests, which have experienced the most extensive and intensive history of anthropogenic disturbances of any life zone on Puerto Rico are characterized by degraded and fragmented landscapes, with species that do not respond to a common environmental gradient.
Beyond the physical: The interplay of experienced weight stigma, internalised weight bias and depression in lipoedema
Authors: Clarke Chantelle , Kirby James N. , Best Talitha 
Published: December 2024

SummaryThis study explored experienced weight stigma, internalised weight bias and depressive symptom severity in lipoedema, a chronic health condition that primarily affects women and involves painful and disproportionate adipose tissue. This study utilised an international cross‐sectional online survey involving N = 1070 women over 18 years old (Mage = 48.9 years old) with self‐reported diagnosed or suspected lipoedema. Participants completed measures of demographic and health characteristics, experienced weight stigma, internalised weight bias and depressive symptoms (PHQ‐9). Chi‐square analysis showed experienced weight stigma differed between those with stage 1 (n = 57), stage 2 (n = 311), Stage 3 (n = 664) and stage unknown (n = 38) lipoedema. Hierarchical linear regression determined the effects of weight stigma on depression and the mediating role of internalised weight bias. Experienced weight stigma (p < .001) and internalised weight bias (p < .001) were related to depressive symptoms beyond age and symptoms of lipoedema (BMI, lipoedema symptom severity and mobility). Internalised weight bias partially mediated the effect of experienced weight stigma on depression. Psychological attributes of experienced weight stigma and internalised weight bias uniquely contribute to depressive symptoms in lipoedema. Increased awareness of the psychological effects of weight stigma and the role of internalised weight bias in women's experience of lipoedema on depression is needed.
Interindividual variability in CYP3A‐mediated venetoclax metabolism in vitro and in vivo in patients with chronic lymphocytic leukemia
Authors: Lee Jonghwa , Beers Jessica L. , Cheng Isabel , Truong Vivian , Brown Zachary , Muluneh Benyam , Coombs Catherine C. , Jackson Klarissa D. 
Published: December 2024

AbstractVenetoclax is a first‐in‐class orally administered B‐cell lymphoma‐2 inhibitor used to treat chronic lymphocytic leukemia (CLL). Venetoclax is primarily metabolized in the liver by cytochrome P450 (CYP) 3A4 to its major metabolite M27, via M5, and M2, M3, and M4 via oxidation. Although venetoclax is a breakthrough in CLL treatment, managing drug safety and toxicity remains a clinical challenge. The objectives of this study were to investigate how individual CYP3A activity and protein expression affect hepatic venetoclax metabolism in vitro and examine whether plasma 4β‐hydroxycholesterol (4β‐HC)/cholesterol ratio can predict venetoclax metabolism in vitro and in vivo. In human liver microsomes (n = 20) and primary human hepatocytes (n = 15), venetoclax metabolite formation varied widely between donors and significantly correlated with CYP3A activity (midazolam 1′‐hydroxylation) and CYP3A4 protein expression. Venetoclax metabolite formation positively correlated with 4β‐HC/cholesterol ratio in plasma samples from the matched non‐infant donors (n = 14, ages 3–63 years). In an observational pilot study of real‐world patients with CLL (n = 12, ages 56–84 years) treated with venetoclax, the plasma M3/venetoclax metabolic ratio negatively correlated with plasma 4β‐HC/cholesterol ratio and positively correlated with patient age. Plasma 4β‐HC/cholesterol ratio negatively correlated with patient age. Differences between the in vitro data, which showed a positive association between venetoclax metabolism, hepatic CYP3A markers, and plasma 4β‐HC/cholesterol ratio, and the in vivo findings in patients with CLL could be due to age or other factors regulating plasma 4β‐HC/cholesterol and/or venetoclax disposition. Future studies with larger sample sizes are needed to investigate age‐related changes in venetoclax metabolism and plasma 4β‐HC/cholesterol ratio.
Dealing With the Complexity of Effective Population Size in Conservation Practice
Authors: Fedorca Ancuta , Mergeay Joachim , Akinyele Adejoke O. , Albayrak Tamer , Biebach Iris , Brambilla Alice , Burger Pamela A. , Buzan Elena , Curik Ino , Gargiulo Roberta , Godoy José A. , González‐Martínez Santiago C. , Grossen Christine , Heuertz Myriam , Hoban Sean , Howard‐McCombe Jo , Kachamakova Maria , Klinga Peter , Köppä Viktoria , Neugebauer Elenora , Paz‐Vinas Ivan , Pearman Peter B. , Pérez‐Sorribes Laia , Rinkevich Baruch , Russo Isa‐Rita M. , Theraroz Adélaïde , Thomas Nia E. , Westergren Marjana , Winter Sven , Laikre Linda , Kopatz Alexander 
Published: December 2024

ABSTRACTEffective population size (Ne) is one of the most important parameters in evolutionary biology, as it is linked to the long‐term survival capability of species. Therefore, Ne greatly interests conservation geneticists, but it is also very relevant to policymakers, managers, and conservation practitioners. Molecular methods to estimate Ne rely on various assumptions, including no immigration, panmixia, random sampling, absence of spatial genetic structure, and/or mutation‐drift equilibrium. Species are, however, often characterized by fragmented populations under changing environmental conditions and anthropogenic pressure. Therefore, the estimation methods' assumptions are seldom addressed and rarely met, possibly leading to biased and inaccurate Ne estimates. To address the challenges associated with estimating Ne for conservation purposes, the COST Action 18134, Genomic Biodiversity Knowledge for Resilient Ecosystems (G‐BiKE), organized an international workshop that met in August 2022 in Brașov, Romania. The overarching goal was to operationalize the current knowledge of Ne estimation methods for conservation practitioners and decision‐makers. We set out to identify datasets to evaluate the sensitivity of Ne estimation methods to violations of underlying assumptions and to develop data analysis strategies that addressed pressing issues in biodiversity monitoring and conservation. Referring to a comprehensive body of scientific work on Ne, this meeting report is not intended to be exhaustive but rather to present approaches, workshop findings, and a collection of papers that serve as fruits of those efforts. We aimed to provide insights and opportunities to help bridge the gap between scientific research and conservation practice.
CD4+ T Cells Occupy Perivascular and Perifollicular Niches in Healthy Human Skin
Authors: Macon Courtney E. , Yang Annie , Patel Dhara , North Jeffrey P. , Rosenblum Michael D. , Cohen Jarish N. 
Published: December 2024

ABSTRACTRegulatory T cells (Tregs) are specialised T lymphocytes that sit at the nexus of immune regulation and tissue repair. While it is appreciated that a substantial number of Tregs are present in healthy human skin, less is known about their microanatomic spatial localisation. Knowledge about the specialised niches that Tregs occupy may aid in rational drug development to treat dermatologic diseases. Thus, we performed multiplexed immunohistochemistry for CD4 and FOXP3 (the lineage‐defining transcription factor of Tregs) on healthy skin sections obtained from eight different cutaneous sites, and quantified Tregs and Tcon in distinct regions. We found that Tregs (CD4+ FOXP3+) comprised roughly 20% of CD4+ T cells in skin and that Tregs and T‐conventional cells (Tcon; CD4+ Foxp3−) are enriched in follicularly dense skin and show preferential accumulation in perivascular and perifollicular niches in the upper dermis. Additionally, male skin shows a significant increase in the numbers of Tregs and Tcon, while female skin shows a higher Tcon:Treg ratio. We also find that the frequency of skin Tregs declines over time. Overall, we conclude that the upper dermal perivascular region is a niche that supports the accumulation of CD4+ T cells in steady‐state human skin.
Connectivity Loss in Experimental Pond Networks Leads to Biodiversity Loss in Microbial Metacommunities
Authors: Szabó Beáta , Váczy‐Földi Máté , Vad Csaba F. , Pálffy Károly , Huỳnh Thu‐Hương , Dobosy Péter , Fierpasz Ádám , Márton Zsuzsanna , Felföldi Tamás , Horváth Zsófia 
Published: December 2024

ABSTRACTHabitat fragmentation is among the most important global threats to biodiversity; however, the direct effects of its components including connectivity loss are largely unknown and still mostly inferred based on indirect evidence. Our understanding of these drivers is especially limited in microbial communities. Here, by conducting a 4‐month outdoor experiment with artificial pond (mesocosm) metacommunities, we studied the effects of connectivity loss on planktonic microorganisms, primarily focusing on pro‐ and microeukaryotes. Connectivity loss was simulated by stopping the dispersal among local habitats after an initial period with dispersal. Keeping the habitat amount constant and the abiotic environment homogeneous allowed us to track the direct effects of the process of connectivity loss. We found that connectivity loss led to higher levels of extinction and a decrease in both local and regional diversity in microeukaryotes. In contrast, diversity patterns of prokaryotes remained largely unaffected, with some indications of extinction debt. Connectivity loss also led to lower evenness in microeukaryotes, likely through changes in biotic interactions with zooplankton grazers. Our results imply that connectivity loss can directly translate into species losses in communities and highlight the importance of conserving habitat networks with sufficient dispersal among local habitats.
The Breeding Bird Survey of the United Kingdom
Authors: Massimino Dario , Baillie Stephen R. , Balmer Dawn E. , Bashford Richard I. , Gregory Richard D. , Harris Sarah J. , Heywood James J. N. , Kelly Leah A. , Noble David G. , Pearce‐Higgins James W. , Raven Michael J. , Risely Kate , Woodcock Paul , Wotton Simon R. , Gillings Simon 
Published: December 2024

ABSTRACTMotivationInformation on species' population trends is essential to assess species' conservation status, make informed environmental decisions and ultimately reduce biodiversity loss. Robust population trends require a long‐term monitoring programme, often using citizen scientists, that ideally generates representative and unbiased data from the study area. Here we present the dataset of the Breeding Bird Survey, the main scheme for monitoring the population changes of common and widespread breeding birds in the United Kingdom, which achieves this through a randomised sampling scheme and defined field methodology. We also describe the modelling approach used to calculate the population trends, which are the main output of the survey.Main Types of Variable ContainedThe main published dataset contains 7,070,577 records detailing counts of 217 bird species in 7010 grid cells over 30 years. Data for 78 species that are currently regarded as too sensitive to be released at fine resolution are omitted. As an illustration of the main use of this dataset, we provide population change estimates for 119 bird species.Spatial Location and GrainGrid squares (1 × 1 km) are randomly selected using a stratified sampling scheme throughout the United Kingdom, Isle of Man and Channel Islands. Data in a grid square are collected along two 1‐km‐long transects which are subdivided into 200‐m‐long sections.Time Period and GrainData have been collected every year since 1994, with two major disruptions in 2001 and 2020, when people's movements were nationally restricted. Grid squares are surveyed twice a year during the main breeding season (April to June). Here we present the data collected from 1994 to 2023.Major Taxa Studied and Level of MeasurementBird species.Software FormatData are supplied as comma‐separated text files.