bluuebunny/crossref_metadata_2025_split huggingface dataset:
Contrasting genetic differentiation of urban and rural populations of two grassland lepidopterans across Europe
Authors: Kivelä Sami M. , Lee Kyung Min , Adamidis George C. , Bonelli Simona , Hendrickx Frederik , Huemer Peter , Kadlec Tomáš , Kankaanpää Tuomas , Minard Guillaume , Nielsen Matthew E. , Piano Elena , Tammaru Toomas , Zografou Konstantina , Merckx Thomas 
Published: January 2025

AbstractUrbanisation is transforming environments globally. The altered abiotic conditions and biotic interactions in urban habitats inflict divergent selection pressures on urban versus rural populations. Genetic drift may simultaneously be significant in typically small urban populations. A key question in urban evolution is whether urban genotypes have a single or multiple origins, but such assessments remain rare, precluding generalizations. We expect similar patterns in species that share ecological traits, but such replicates are missing. To address whether urban and rural populations are genetically differentiated and what is the origin of urban genotypes, we conducted an extensive population genomic ddRADseq analysis of two non-model grassland lepidopterans,Coenonympha pamphilusandChiasmia clathrata, across Europe. Although the species share ecological traits, their genetic population structures were strikingly different:C. pamphilushad strong population differentiation, while this was almost absent inC. clathrata, which instead showed signs of recent strong population expansion. Although this signature of population expansion complicates inferences, it is nonetheless plausible that the urban populations of both species have multiple origins. This study highlights that urban evolution research needs to integrate phylogeography, because population history affects urban evolutionary dynamics.
A-TWAS: An aggregated transcriptome-wide association study model incorporating multiple Bayesian priors
Authors: Liang Yilan , Wang Han , Zhang Yan Dora 
Published: January 2025

AbstractMotivationTranscriptome-wide association study (TWAS) is a significant methodology utilized for identifying associations between genes and diseases by integrating transcriptome and genome-wide association studies (GWAS) data. The approach has been successful in pinpointing risk genes for various diseases, including Alzheimer’s disease, schizophrenia, and different types of cancers. TWAS typically involves two key steps: imputation and association analysis. In the imputation step, the original PrediXcan employs the elastic-net model, while subsequent research endeavors have delved into more intricate models such as FUSION and TIGAR. Despite these advancements, the existing individual methods may not capture the intricate genotype-expression relationships in a comprehensive way. Given the complexity of genetic contributions of genotypes to gene expression, sophisticated modeling techniques are imperative. In response to this, we have introduced Aggregated-TWAS (A-TWAS), a comprehensive tool that amalgamates multiple imputation models to accommodate diverse genetic architectures. A-TWAS utilizes several continuous shrinkage priors, including Laplace, Horseshoe, and Horseshoe+, to ensure precise imputation results while incorporating the benefits of Bayesian variable selection methods. In the association phase of TWAS, we employ the aggregated Cauchy association test (ACAT) to obtain an omnibusp-value.ResultWe demonstrate the effectiveness of A-TWAS through comprehensive simulations and real data analyses. Simulation studies highlight that A-TWAS produces substantial improvements in predictiveR2and statistical power, while maintaining the type error I at a low level. Furthermore, TWASs are conducted on schizophrenia and obsessive-compulsive symptoms datasets. In comparison to standard methods, the Bayesian imputation model demonstrates superior accuracy, and A-TWAS, by integrating multiple Bayesian priors, identifies a notably greater number of disease-relevant genes.Availability and ImplementationThe source code of A-TWAS is available athttps://github.com/Yilan-Liang/A-TWAS.
Optimizing TRMS stability: a multi-objective genetic algorithm approach to PID controller design
Authors: Çelebi Barış , Bilgiç Boğaç 
Published: January 2025

PurposeThis paper aims to enhance the stability and control of twin rotor multi-input multi-output system (TRMS) helicopters by introducing a novel approach that utilizes a multi-objective genetic algorithm (MOGA) for optimizing proportional, integral, derivative (PID) controllers in simultaneous pitch and yaw motions.Design/methodology/approachThe TRMS, a common prototype for helicopter motion studies, is introduced, and a PID controller is designed for pitch and yaw stabilization. The gains of the PID controller are optimized using a MOGA, a technique not previously proposed for TRMS in the literature.FindingsWhile various controllers have been explored in literature for TRMS stabilization, a MOGA-optimized PID controller for TRMS has not been proposed before. Simultaneous optimization of both pitch and yaw motions using two PID controllers is expected to yield improved robustness.Research limitations/implicationsThe study focuses on simulations, and experimental validation is not conducted. The MOGA is introduced as an optimization technique, and future studies may explore its application in experimental settings.Originality/valueThis study introduces a novel approach by utilizing a MOGA to optimize PID controller gains for TRMS. Simultaneous optimization of pitch and yaw motions aims to enhance robustness, providing a unique contribution to the field of helicopter control.
Sentiment analysis and topic modelling on diamond jubilee celebration of independence by citizens of a nation: a case study of India
Authors: Borgohain Prantim , Asjola Viral , Sutariya Divyakant , Bhatt Atul 
Published: January 2025

Purpose
Every nation celebrates their Independence Day as a grand celebration by the whole country together. The purpose of this study is to identify the people’s emotions and sentiments about their country at the time of Independence Day celebration through the analysis of social media messages.

Design/methodology/approach
To collect data from Twitter now which is known as “X”, this study used python computer programming language. Total 119,151 tweets were collected, and sentiment analysis was done based on the polarity score and Latent Dirichlet Allocation to understand the sentiments of public. The topic modelling was also done in this study, where topics and categories were created based on the words found through the Latent Dirichlet Allocation.

Findings
The result of this study revealed that people have the respect towards their country and are always ready to come together for the nation. They also feel proud to be a citizen of an independent nation. Therefore, they celebrate their country’s Independent Day every year with joy. Every nation needs a dynamic leader to lead the nation, whom people can trust easily and follow blindly.

Practical implications
The result of this study can be generalised as everyone supports and respects their nation and the national flag. This study is practically useful to other researchers to conduct similar study of sentiment analysis and topic modelling on other counties’ patriotism or other campaigns at national or global level.

Originality/value
As a result, this study contributes to understand people’s respect towards the nation. This study also showed people’s positive response at their leader’s request. There are many studies done on topic modelling and content analysis, but this is the first and original work attempted on the special subject on national patriotism campaign to the best of the authors’ knowledge.
Statutory ESG reporting and investment efficiency: evidence using quasi-natural experiment
Authors: Desai Rajesh 
Published: January 2025

Purpose
This paper aims to examine the effect of compulsory environmental, social and governance (ESG) disclosure regulation on corporate investment efficiency (IE). The study also explains how carbon sensitivity moderates the ESG-IE nexus.

Design/methodology/approach
The present study is based on the well-developed difference-in-differences (DID) research design with firms required to file ESG reports as the treatment group and others as a control group. Companies listed on the National Stock Exchange have been considered as the source of the sample and the final dataset of 1,077 firms (9,149 firm-year observations from 2011 to 2020) has been selected using a multi-stage sampling approach. The study also performs several robustness tests to validate the reliability of the results.

Findings
Based on empirical results, the study concludes that the implementation of compulsory ESG reporting improves the investment efficiency of treated firms in the post-enforcement period. Further, the study also confirms that firms in the carbon-sensitive industry have experienced a high level of improvement in investment efficiency.

Research limitations/implications
As the study supports the value relevance of mandatory ESG disclosure, managers can utilize the same to communicate superior firm performance and reduce information asymmetry. Further, this study empirically validates the outcome of a regulatory policy which in turn assists policymakers in smooth implementation.

Originality/value
The extant literature has primarily analysed voluntary ESG reporting framework and that too in the setting of developed nations. However, as against developed economies, emerging countries have scanty regulations for ESG reporting and that too perforated with gaps. Such a constrained legal environment amplifies the information asymmetry among investors and managers leading to investment inefficiency. Thus, the current research deepens the extant literature by studying mandatory ESG reporting within an emerging economy to better understand the ESG-IE nexus.
Public crisis management during COVID-19: an empirical analysis of professional and volunteer emergency responders in Germany
Authors: Nolte Isabella M. 
Published: January 2025

PurposeCrises such as the 2015–2016 European refugee crisis and the 2019 coronavirus disease (COVID-19) represent creeping crises that public organisations manage. Yet both scholars and practitioners lack insight into how well public organisations manage creeping crises that lead to a new normal and whether professionals and volunteers differ in their crisis response.Design/methodology/approachUsing survey data from 112 professional and volunteer emergency responders in Germany, this study examines how crisis-induced reforms and challenges during COVID-19 affected their crisis response. This study uses partial least squares structural equation modelling to evaluate the relationships among crisis-induced reforms and challenges and both crisis response proficiency and collaboration intention.FindingsCrisis-induced reforms support both crisis response proficiency and collaboration intention, while organisational challenges weaken response proficiency. A group comparison reveals that whereas professional responders are more likely to manage crises better than volunteer responders, volunteer responders are more predisposed to engage in future stakeholder collaboration.Practical implicationsPublic sector organisations need to embrace opportunities for better crisis response through crisis-induced reforms. Additionally, policymakers need to acknowledge the differing capabilities and support needs of both professional and volunteer emergency responders.Originality/valueThis study provides insights into creeping crisis management by analysing crisis response proficiency and collaboration for two typical crisis responders: emergency response professionals and volunteers. While demonstrating that crisis response proficiency is more realistic in a professional setting, whereas volunteers more strongly focus on collaboration, the study presents a differentiated view of public crisis responders.
Tacit knowledge-informed approximate dynamic programming for last-mile delivery operations in online-to-offline pharmacies
Authors: Yang Xuan , Luo Hao , Nie Xinyao , Kong Xiangtianrui 
Published: January 2025

PurposeTacit knowledge in frontline operations is primarily reflected in the holders’ intuition about dynamic systems. Despite the implicit nature of tacit knowledge, the understanding of complex systems it encapsulates can be displayed through formalization methods. This study seeks to develop a methodology for formalizing tacit knowledge in a dynamic delivery system.Design/methodology/approachThis study employs a structured survey to gather experiential knowledge from dispatchers engaged in last-mile delivery operations. This knowledge is then formalized using a value function approximation approach, which transforms tacit insights into structured inputs for dynamic decision-making. We apply this methodology to optimize delivery operations in an online-to-offline pharmacy context.FindingsThe raw system feature data are not strongly correlated with the system’s development trends, making them ineffective for guiding dynamic decision-making. However, the system features obtained through preprocessing the raw data increase the predictiveness of dynamic decisions and improve the overall effectiveness of decision-making in delivery operations.Research limitations/implicationsThis research provides a foundational framework for studying sequential dynamic decision problems, highlighting the potential for improved decision quality and system optimization through the formalization and integration of tacit knowledge.Practical implicationsThis approach proposed in this study offers a method to preserve and formalize critical operational expertise. By embedding tacit knowledge into decision-making systems, organizations can enhance real-time responsiveness and reduce operational costs.Originality/valueThis study presents a novel approach to integrating tacit knowledge into dynamic decision-making frameworks, demonstrated in a real-world last-mile delivery context. Unlike previous research that focuses primarily on explicit data-driven methods, our approach leverages the implicit, experience-based insights of operational staff, leading to more informed and effective decision-making strategies.
Exploring factors influencing the continued use of personal cloud computing services: an extended expectation-confirmation model
Authors: Khahar Hani Hafiera , Vafaei-Zadeh Ali , Hanifah Haniruzila , Ramayah T. 
Published: January 2025

Purpose
This study leverages an enhanced expectation confirmation model of information technology continuance to explore the factors that shape the continuance intention toward cloud computing services.

Design/methodology/approach
Data were collected from personal cloud computing service users in Malaysia, resulting in a total of 567 usable responses. The research used partial least squares structural equation modeling (PLS-SEM) for comparative analysis and model selection based on predictive accuracy.

Findings
The study findings demonstrate that perceived benefits, ease of use, usefulness, risk and trust play crucial roles as antecedents to user confirmation and satisfaction, thereby influencing the intention for continuous service usage. Notably, the hypotheses formulated for the study received robust support, with 13 out of 14 anticipated relationships proving statistically significant.

Originality/value
This study presents a novel investigation into the continuance of personal cloud computing services among Malaysian users, contributing to a deeper understanding of user intention dynamics in this context. Integrating an expanded ECM-IT framework offers a comprehensive analytical approach that simultaneously considers information systems and non-IS factors. Additionally, the study underscores the significance of predictive capability assessment using the PLSpredict method, providing a valuable benchmark for model selection in future research.
Ecological and demographic drivers of kin‐directed cooperation in a social bird: Insights from a long‐term study
Authors: Morinay Jennifer , Woodward Beth K. , Russell Andrew F. , Sharp Stuart P. , Hatchwell Ben J. 
Published: January 2025

Abstract

The evolution of sociality is one of the major evolutionary transitions in the history of life and a key step in this transition is the occurrence of kin associations. Yet, the question of what demographic processes and environmental factors generate kin‐structured populations and drive kin‐directed cooperation remains open.

In this review, we synthesise 30 years of studies of the long‐tailed tit Aegithalos caudatus, which has a kin‐selected cooperative breeding system with redirected help: failed breeders may help to raise offspring of conspecifics, typically relatives, breeding nearby. We describe the use of ecological, demographic, genetic and behavioural approaches to reveal: (a) how kin‐structured populations (here ‘kin neighbourhoods’) arise; (b) why the prevalence of cooperation varies among populations and individuals; and (c) how variation in dispersal and opportunities for cooperation influence individual fitness.

The kin neighbourhoods of long‐tailed tits arise from three processes. First, natal dispersal is limited and sex‐biased so many individuals, especially males, recruit as breeders close to their natal site. Second, neither dispersal nor migration necessarily disrupts kin associations because long‐tailed tits often move with close relatives. Third, a small effective population size driven by high nest predation rates enhances within‐population relatedness. Together, these processes set the scene for kin‐directed helping behaviour by causing spatial clustering of relatives.

The prevalence of cooperation within kin neighbourhoods depends on several factors, both at the population‐level (annual nest predation rate and length of the breeding season) and individual‐level (relatedness, familiarity, sex and condition). However, limited information on prior social association and the reliability of kin discrimination cues hampers our current understanding of individual helping decisions.

Finally, variation in dispersal within and between sexes affects the probability of interacting with kin, the likelihood of cooperation, and accrual of the direct and indirect components of inclusive fitness.

We use this comprehensive understanding of the factors driving cooperative behaviour in long‐tailed tits to highlight gaps in knowledge and suggest future avenues for research in this system, and to make general inferences about the role of dispersal, demography and kinship in social evolution.
Demographic history of the Malayan tapirs (Tapirus indicus) in Southeast Asia
Authors: Lim Qi Luan , Sato Yu , Rosli Norsyamimi , Inoue‐Murayama Miho 
Published: January 2025

AbstractMalayan tapir is the only extant Asian species in the family Tapiridae, which is endangered and threatened by the risk of inbreeding from population structure. To elucidate the demographic and evolutionary history of the tapirs in Southeast Asia (SEA), this study analyzed whole‐genome data from 10 individuals for historical effective population size (Ne) inference using sequentially Markovian coalescent (i.e., PSMC, MSMC, MSMC2), folded site frequency spectrum (i.e., Stairway Plot 2), and their hybrid SMC++. The results revealed that tapir Ne ranged from 6000 to 12,000 in the last glacial period but decreased to <2000 in recent times. Genomic analysis and population split time analysis (PSMC and SMC++) supported a population divergence (Fst > 0.25) between the Sumatran and mainland SEA tapirs 10–6 kya. Subsidence of Sundaland and rainforest reduction were the major drivers for Ne decline. The timing of the population split corresponded well with the inundation of the Straits of Malacca to present‐day levels by rapidly rising sea levels ~11 kya. The results of this study, as well as contemporary geographical isolation, support the subspecies status of the Sumatran population. This will have implications for the ex‐situ conservation practices that may have produced hybrids of the isolated populations.
Endogeneity and the economic consequences of tax avoidance
Authors: Dyreng Scott D. , Hills Robert W. , Lewellen Christina M. , Lindsey Bradley P. 
Published: January 2025

AbstractAcademic research investigating the economic consequences of tax avoidance is almost always interested in the consequences of intentional, deliberate actions undertaken to reduce taxes relative to income. Therefore, it is crucial that such research distinguishes between intentional and incidental tax avoidance, since failure to do so can create endogeneity concerns and lead to incomplete and incorrect economic inferences. In this paper, we first develop a framework that conceptually defines and distinguishes between intentional and incidental tax avoidance. We highlight that the endogeneity problem arises because intentional tax avoidance is not directly observable. We consider two approaches to mitigating endogeneity concerns and apply these approaches by reexamining two influential studies that investigate the economic consequences of tax avoidance. We show how controlling for past accounting losses eliminates the effect of tax avoidance on credit spreads (Hasan et al. 2014, Journal of Financial Economics, 113(1), 109–130) and how using an instrumental variables approach changes the sign of the relation between tax sheltering and stock price crash risk (Kim et al., 2011, Journal of Financial Economics, 100(3), 639–662). Overall, our paper punctuates the importance of both (1) conceptually distinguishing between incidental and intentional tax avoidance and (2) econometrically addressing the challenges that arise when empirical differentiation between incidental and intentional tax avoidance is important to the research question.
Association Between Elevation of Serum Alanine Aminotransferase and HBsAg Seroclearance After Nucleos(t)ide Analog Withdrawal
Authors: Tsai Ying‐Nan , Wu Jia‐Ling , Tseng Cheng‐Hao , Tseng Shang‐Chen , Hung Chih‐Lung , Nguyen Mindie H. , Lin Jaw‐Town , Hsu Yao‐Chun 
Published: January 2025

ABSTRACTBackgroundAlanine aminotransferase (ALT) frequently elevates in chronic hepatitis B patients stopping nucleos(t)ide analogs (NAs).AimsTo clarify the association between ALT elevation and HBsAg seroclearance after NA withdrawal.MethodsThis multicenter cohort study reviewed consecutive patients discontinuing NA between 2004/04/01 and 2022/05/24. Treatment initiation and discontinuation generally followed the Asian‐Pacific guidelines. Eligible patients had negative HBeAg and undetectable HBV DNA before treatment cessation, without malignancy, organ transplant or autoimmune disorders. We used competing risk analysis to estimate HBsAg seroclearance incidence and a time‐dependent model to investigate post‐cessation ALT elevation.ResultsAmong 841 patients (74.7% male; median age, 53.2 years; median treatment duration, 34.7 months), 38 patients cleared HBsAg over a median follow‐up of 3.7 years, with a 10‐year cumulative incidence of 12.4%. The median peak ALT level was significantly lower in patients achieving HBsAg seroclearance versus not (93 vs. 127 U/L; p < 0.001). Hepatitis flare after NA cessation (> 5 times upper limit) was inversely associated with HBsAg seroclearance in the univariable analysis (sub‐distribution hazard ratio [SHR], 0.31; 95% confidence interval [CI], 0.13–0.73; p = 0.007), and the association was not significant (adjusted SHR, 0.42; 95% CI, 0.09–2.01; p = 0.28) in the multivariable analysis adjusted for pretreatment HBV DNA. Consistent results were observed in the sensitivity analyses with different ALT cutoffs and subgroup analysis adjusted for HBsAg levels at treatment cessation.ConclusionALT elevation after NA cessation is not associated with HBsAg seroclearance following NA withdrawal, suggesting cytolytic pathways are not essential for a functional cure.