bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hungry catfish – effect of prey availability on movement dynamics of a top predator
Authors: Říha Milan , Rabaneda-Bueno Rubén , Vejřík Lukáš , Jarić Ivan , Prchalová Marie , Šmejkal Marek , Čech Martin , Draštík Vladislav , Blabolil Petr , Holubová Michaela , Jůza Tomáš , Gjelland Karl Ø. , Sajdlová Zuzana , Kočvara Luboš , Tušer Michal , Peterka Jiří 
Published: August 2024

AbstractThe availability and spatial distribution of prey determines the energetic costs of predators foraging and largely drives their space use, activity level and foraging timing. Consequently, predators in ecosystems with different prey availability and distribution should adjust their movement patterns to optimise their foraging success in order to maximise efficiency.The aim of this study was to investigate the ability of a top predator, European catfish (Silurus glanis), to adapt its space use, temporal activity and diet patterns in environments with varying prey density and distribution, and to examine the consequences for the catfish’s body growth.Catfish activity, tracked with high-resolution acoustic telemetry positioning systems deployed in two oligotrophic lakes with limited fish prey and one eutrophic reservoir with abundant fish prey, showed clear differences in their spatial and foraging behaviour. In oligotrophic, prey-poor lakes, catfish showed larger space use, altered diurnal activity patterns, reduced use of the open water, increased variability in inter- and intra-individual space use and had a more diverse diet compared to their conspecifics in the eutrophic, prey-rich reservoir. However, despite these behavioural alterations the reduced food availability in prey-poor lakes ultimately led to a reduced catfish growth, as these behavioural changes could not fully compensate for the lower prey fish abundance.The study showed that top predators can combine different behavioural mechanisms and individual strategies to adapt to different ecological contexts. The observed ability of catfish to optimize activity, space use and diet highlights the evolutionary need to maximise foraging efficiency and overall fitness in different habitats, giving catfish a significant competitive advantage. Such competitive abilities are prerequisites for the actual catfish success as an invasive species within a Europe.
Copper impedes calcification of human aortic vascular smooth muscle cells through inhibition of osteogenic transdifferentiation and promotion of extracellular matrix stability
Authors: Orlov Iurii , Lenglet Gaëlle , Avondo Carine , Beattie John H. , Kamel Said , Korichneva Irina 
Published: August 2024

AbstractVascular calcification (VC), a common pathological condition, is a strong predictor of cardiovascular events and associated mortality. Development and progression of VC heavily rely on vascular smooth muscle cells (VSMCs) and are closely related to oxidative stress, inflammation, and remodelling of extracellular matrix (ECM). Copper (Cu), an essential microelement, participates in these processes, however its involvement in pathophysiology of VC and VSMCs physiology remains poorly investigated. In the present study we analysed Cu impact on the calcification of human aortic primary VSMCs inducedin vitroby treatment with high calcium and phosphate levels. Supplementation with physiological micromolar Cu significantly reduced the amount of calcium deposited on VSMCs as compared to moderate deficiency, Cu restriction with chelators or Cu excess. Moreover, optimal concentrations of Cu ions increased protein production by VSMCs, stimulated their metabolic activity, inhibited alkaline phosphatase activity associated with cell-conditioned medium and cellular lysates, and prevented osteogenic differentiation of VSMCs. RNA-seq results indicated that high calcium and phosphate treatments activated many pathways related to oxidative stress and inflammation in VSMCs at the initial stage of calcification. At the same time, expression of VSMC-specific markers and certain components of ECM were downregulated. Supplementation of calcifying cells with 10 μM Cu prevented most of the transcriptomic alterations induced by high calcium and phosphate while chelation-mediated restriction of Cu greatly aggravated them. In summary, physiological concentration of Cu impedesin vitrocalcification of VSMCs, prevents their osteogenic transition and minimises early phenotypic alterations induced by high calcium and phosphate, thereby underlining the importance of Cu homeostasis for the physiology of VSMCs, one of the cornerstones of cardiovascular health. Our data suggest that peculiarities of Cu metabolism and its status should be considered when developing preventive and therapeutic approaches for cardiovascular diseases.
Type 1 Diabetes Genetic Risk Score classifies diabetes subtypes in Indians: Impact of HLA diversity on the lower discriminative ability
Authors: Sankareswaran Alagu , Kunte Pooja , Fraser Diane P , Shaik Mobeen , Weedon Michael N , Oram Richard A , Yajnik Chittaranjan S , Chandak Giriraj R 
Published: August 2024

AbstractObjectivesGenetic Risk scores (GRS) classify diabetes types, type 1 (T1D) and type 2 (T2D) in Europeans but the power is limited in other ancestries. We explored the performance of T1DGRS and potential reasons for inferior discrimination ability in diabetes-type classification in Indians.Research Design and MethodsIn a well-characterized Indian cohort comprising 645 clinically diagnosed T1D, 1153 T2D and 327 controls, we estimated the discriminative ability of T1DGRS (comprising 67 SNPs from Europeans) using receiver operating characteristics-area under the curve (ROC-AUC). We also compared the islet autoantibody status (AA), frequency and effect size of various HLA alleles/haplotypes between Indians and Europeans.ResultsThe T1DGRS was discriminative of T1D from T2D and controls but the ability is lower in Indians than Europeans (AUC=0.83 vs 0.92 respectively, p<0.0001). The T1DGRS was higher in AA-positive patients compared to AA-negative patients [13.01 (12.79-13.23) vs 12.09 (11.64-12.56)], p<0.0001) and showed greater discrimination in the AA-positive T1D (ROC-AUC 0.85). While association of common HLA-DQA1∼HLA-DQB1 haplotypes with T1D is replicated, important differences in the risk allele frequency, nature/direction and magnitude of association between Indians and Europeans were noted.ConclusionsA T1DGRS derived from Europeans is discriminative of T1D in Indians, highlighting similarity in heritability of T1D. Differences in allele frequency, effect size and directionality, especially in the HLA region are important contributors to inferior discrimination performance of T1DGRS in Indians. Further studies of diverse populations may improve its performance.
Ethical boundaries in employee relationships: addressing workplace affairs in the health-care industry
Authors: Bilderback Stephanie 
Published: August 2024

Purpose
This paper aims to investigate the impact of prolonged work hours and high stress levels on ethical behavior within health-care settings. It evaluates how these factors compromise professional and personal boundaries and examines the efficacy of targeted ethical training programs designed to mitigate these challenges.

Design/methodology/approach
This study adopts an integrated conceptual framework combining the interactionist model of ethical decision-making, organizational justice theory and virtue ethics. It uses data from the General Social Survey (GSS) and analyzes trends and insights from existing literature. The study explores theoretical underpinnings and empirical evidence to understand the complex interplay between workplace stress, long hours and ethical behavior in health-care environments, ensuring the validity and reliability of the findings.

Findings
The findings highlight a significant correlation between excessive work hours, increased stress levels and ethical lapses in health-care settings. These lapses, including breaches of confidentiality and inappropriate workplace relationships, can have profound implications for patient care and professional satisfaction. The efficacy of ethical training programs in enhancing moral reasoning and ethical judgment among health-care professionals is demonstrated, particularly those programs that mirror real-world complexities. Such training equips health-care workers with the necessary tools to navigate ethical dilemmas effectively, fostering a culture of ethical awareness and integrity.

Originality/value
This paper uniquely contributes to the literature by comprehensively analyzing how stress and work hours influence ethical behavior, specifically in health-care settings. Supported by a robust theoretical framework, it extends previous research by demonstrating the effectiveness of ethical training in improving ethical behavior. The paper provides practical recommendations for health-care organizations to cultivate a culture of ethical awareness and integrity, highlighting the potential for such programs to improve patient care and professional satisfaction significantly.
Mandatory climate disclosures: impacts on energy and agriculture markets
Authors: Ho Linh , Renwick Alan 
Published: August 2024

Purpose
With the rise of mandating climate-related disclosures (CRD), this paper aims to investigate how energy and agriculture markets are exposed to climate disclosure risk.

Design/methodology/approach
Using the multivariable simultaneous quantile regression and data from 1 January 2017 to 29 February 2024, the authors examine daily and monthly responses of energy and agriculture markets to climate disclosure risk, energy risk, market sentiment, geopolitical risk and economic policy risk. The sample covers the global market, Australia, Canada, European Union (EU), Hong Kong, Japan, New Zealand, Singapore, the UK and the USA.

Findings
The results show that climate disclosure risk creates both positive and negative shocks in the energy and agriculture markets, and the impacts are asymmetric across quantiles in different economies. The higher the climate disclosure risk, the greater impact of crude oil future on the energy sector in North America (Canada and the USA) and Europe (EU and the UK), but no greater effects in Asia Pacific (Australia, New Zealand and Singapore). The agriculture sector can hedge against economic policy and geopolitical risks, but it is highly exposed to climate disclosure and energy risks.

Originality/value
This study timely contributes to the modest literature on the asymmetric effects of climate disclosure risk on the energy and agriculture markets at the global and national levels. The findings offer practical implications for policymakers and investment practitioners in understanding financial effects of mandating CRD to diversify risks depending upon market conditions and policy uncertainty.
Work-related boredom, felt deprivation and employee dissatisfaction: is being closer to the leader a bane?
Authors: Mishra Sreelekha 
Published: August 2024

Purpose
Job dissatisfaction is a prevalent, yet understudied phenomenon. This study aims to examine the determinants of job dissatisfaction among information technology (IT) professionals. Based on the relative deprivation theory and the social exchange theory, this study examines the complex linkage between work-related boredom, felt deprivation, leader–member exchange and job dissatisfaction.

Design/methodology/approach
The questionnaire-based survey data were collected from IT professionals working in Bangalore, India. Regression with process macro was used for data analysis.

Findings
This study found the predictors of job dissatisfaction and felt deprivation. It also found the path through which work-related boredom impacts job dissatisfaction (through felt deprivation). Furthermore, it found that the direct effect of boredom on felt deprivation is greater for employees in close relationships with the leader.

Research limitations/implications
Job dissatisfaction is one of the critical factors that has several adverse consequences for individuals and the organization. This study provides the antecedents, explains the path and suggests a boundary condition leading to job dissatisfaction. It further highlights the adverse consequences of work-related boredom on felt deprivation for employees having strong leader–member exchange relationships.

Originality/value
This study contributes to the literature on job dissatisfaction, boredom, felt deprivation and leader–member exchange in the IT sector in an emerging economy. To the best of the author’s knowledge, this is one of the early studies that explain the mechanism and the conditions leading to felt deprivation and job dissatisfaction.
Navigating GST revenue efficiency challenges: a solution to dilemma of policy makers for enhancing revenue efficiency
Authors: Garg Shubham , Mittal Sangeeta , Garg Aman 
Published: August 2024

Purpose
This study aims to investigate the determinants of GSTefficiency of the Indian states to assist the policymakers, government and GST council to devise their policies and strategies to boost the GSTefficiency of the Indian states.

Design/methodology/approach
The analysis has used the panel data set of 27 Indian states and 3 UTs with a time span of 2017–18 to 2022–23. The study has used the Generalized Method of Moment regression for exploring the determinants of GSTefficiency of the state governments in India.

Findings
The findings depict that sectoral composition, inflation rate, financial development, state’s self-reliance, per capita income and gross fiscal deficit have a significant effect on GSTefficiency of the state governments. The findings support the Tanzi effect 1977 and claim that the rise in the inflation level erodes GSTefficiency of the state governments. The rise in the self-reliance of the state government will make the Indian states self-dependent and will reduce their reliance on central transfers.

Practical implications
The government should make efforts to make the Indian states self-reliant by increasing the share of OTR (Own Tax Revenue) instead of increasing their revenue efficiency in short-run through devolution and central transfers. Moreover, the Indian government should devise their macro-economic policies to curb the inflation level and gross fiscal deficit of the state governments in the country.

Originality/value
To the best of the authors’ knowledge, this may be the first study to explore the determinants of GSTefficiency of the state governments in India.
Customer churn analysis using feature optimization methods and tree-based classifiers
Authors: Ehsani Fatemeh , Hosseini Monireh 
Published: August 2024

Purpose
As internet banking service marketing platforms continue to advance, customers exhibit distinct behaviors. Given the extensive array of options and minimal barriers to switching to competitors, the concept of customer churn behavior has emerged as a subject of considerable debate. This study aims to delineate the scope of feature optimization methods for elucidating customer churn behavior within the context of internet banking service marketing. To achieve this goal, the author aims to predict the attrition and migration of customers who use internet banking services using tree-based classifiers.

Design/methodology/approach
The author used various feature optimization methods in tree-based classifiers to predict customer churn behavior using transaction data from customers who use internet banking services. First, the authors conducted feature reduction to eliminate ineffective features and project the data set onto a lower-dimensional space. Next, the author used Recursive Feature Elimination with Cross-Validation (RFECV) to extract the most practical features. Then, the author applied feature importance to assign a score to each input feature. Following this, the author selected C5.0 Decision Tree, Random Forest, XGBoost, AdaBoost, CatBoost and LightGBM as the six tree-based classifier structures.

Findings
This study acclaimed that transaction data is a reliable resource for elucidating customer churn behavior within the context of internet banking service marketing. Experimental findings highlight the operational benefits and enhanced customer retention afforded by implementing feature optimization and leveraging a variety of tree-based classifiers. The results indicate the significance of feature reduction, feature selection and feature importance as the three feature optimization methods in comprehending customer churn prediction. This study demonstrated that feature optimization can improve this prediction by increasing the accuracy and precision of tree-based classifiers and decreasing their error rates.

Originality/value
This research aims to enhance the understanding of customer behavior on internet banking service platforms by predicting churn intentions. This study demonstrates how feature optimization methods influence customer churn prediction performance. This approach included feature reduction, feature selection and assessing feature importance to optimize transaction data analysis. Additionally, the author performed feature optimization within tree-based classifiers to improve performance. The novelty of this approach lies in combining feature optimization methods with tree-based classifiers to effectively capture and articulate customer churn experience in internet banking service marketing.
Differential responses of community‐level functional traits to mid‐ and late‐season experimental drought in a temperate grassland
Authors: Fenollosa E. , Fernandes P. , Hector A. , King H. , Lawson C. S. , Jackson J. , Salguero‐Gómez R. 
Published: August 2024

Abstract

Extreme precipitation events are becoming more intense and frequent due to climate change. This climatic shift is impacting the structure and dynamics of natural communities and the key ecosystem services they provide. Changes in species abundance under these conditions are thought to be mediated by functional traits, morpho‐physiological characteristics of an organism that impact its fitness. Future environmental conditions may, therefore, favour different traits to those in present‐day communities.

After 6 years of manipulated precipitation levels, including drought (−50% of ambient precipitation), irrigation (+50% of ambient precipitation), and control (ambient precipitation), we measured five key functional traits (plant height, leaf dry matter content [LDMC], leaf thickness, specific leaf area [SLA], and leaf phosphorus concentration) in 586 individual vascular plants to study the effects of precipitation changes on community‐weighted functional traits. Additionally, we tested whether the precipitation change effects on the traits depend on the time of the growing season.

As expected, reduced precipitation impacted community composition only for the late‐season timing, after the seasonal field mowing, but led to a significant change in all community‐level plant traits between season timings. Under drought, communities shifted towards shorter individuals with thicker but small leaves and lower phosphorous content. Overall, a combination of community reassembly and intraspecific variation contributed to community‐weighted differences between control and drought plots for plant height, SLA, and LDMC traits. Species turnover was the main driver of community‐weighted means (CWMs) shifts in all traits in the late‐season but SLA. Whereas all traits showed variations at the community level with drought, SLA and LDMC were the most responsive traits at the species level. Nevertheless, our results suggest underestimation of intraspecific variation due to sensitive species lower abundance under stress. No differences in CWMs of functional traits were observed between control and irrigated plots.

Synthesis: Our findings suggest that functional trait composition of grassland communities may shift under climate change‐induced drought, depending on the growing season timings. Trait‐based attempts to predict ecosystem functioning must account for such temporal variation in community trait values.
Public opinion towards interest groups: The differential impact of ties to cause and business groups
Authors: RASMUSSEN ANNE , REHER STEFANIE 
Published: August 2024

AbstractInterest groups are often included as key actors in consultation processes, with the aim of making policy more effective, fair and representative. At the same time, their influence is frequently viewed with suspicion. This research note uses survey experiments in Germany, the United Kingdom and the United States (N = 9,357) to explore how the ties citizens hold to different types of interest groups affect their perceived legitimacy of involving them in parliamentary hearings. We find that affective, behavioural and attitudinal ties shape how citizens evaluate the representation of groups, but that there are important differences between ties to different group types: ties to cause groups representing societal interests are more consequential than ties to business interests. These findings underline important heterogeneity in how different interest groups relate to their constituencies and have implications for accountability relationships between citizens and policymakers. The heightened sensitivity of citizens with ties to cause groups regarding their representation underscores the need to actively nurture and involve these groups in policy making.
Deep estimation of the intensity and timing of natural selection from ancient genomes
Authors: Laval Guillaume , Patin Etienne , Quintana‐Murci Lluis , Kerner Gaspard 
Published: August 2024

AbstractLeveraging past allele frequencies has proven to be key for identifying the impact of natural selection across time. However, this approach suffers from imprecise estimations of the intensity (s) and timing (T) of selection, particularly when ancient samples are scarce in specific epochs. Here, we aimed to bypass the computation of allele frequencies across arbitrarily defined past epochs and refine the estimations of selection parameters by implementing convolutional neural networks (CNNs) algorithms that directly use ancient genotypes sampled across time. Using computer simulations, we first show that genotype‐based CNNs consistently outperform an approximate Bayesian computation (ABC) approach based on past allele frequency trajectories, regardless of the selection model assumed and the number of available ancient genotypes. When applying this method to empirical data from modern and ancient Europeans, we replicated the reported increased number of selection events in post‐Neolithic Europe, independently of the continental subregion studied. Furthermore, we substantially refined the ABC‐based estimations of s and T for a set of positively and negatively selected variants, including iconic cases of positive selection and experimentally validated disease‐risk variants. Our CNN predictions support a history of recent positive and negative selection targeting variants associated with host defence against pathogens, aligning with previous work that highlights the significant impact of infectious diseases, such as tuberculosis, in Europe. These findings collectively demonstrate that detecting the footprints of natural selection on ancient genomes is crucial for unravelling the history of severe human diseases.