bluuebunny/crossref_metadata_2025_split huggingface dataset:
Location Matters: Everyday Gender Discrimination in Remote and On-site Work
Authors: Doering Laura , Tilcsik András 
Published: December 2024

Remote work has dramatically transformed professional environments, sparking considerable scholarly interest in its impact on employees and organizations. Contributing to this burgeoning literature, we investigate how remote versus on-site work affects women’s experiences of gender discrimination. Given that work location can alter the gendered nature of interactions, we focus on everyday gender discrimination: slights and offenses that occur in interactions and are perceived by recipients as reflecting gender bias. Integrating gender frame theory and scholarship on virtual work, we argue that the gender frame tends to be less salient in remote settings. Thus, we predict that women experience less everyday gender discrimination when working remotely than on-site. Moreover, because the gender frame is likely to be more salient during on-site work for younger women and those who work with mostly men, we expect that these women experience a particularly pronounced reduction in everyday gender discrimination when working remotely. To test these predictions, we developed a new measure of everyday gender discrimination and conducted an original survey of 1,091 professional women who work in the same job both remotely and on-site. We find that women consistently report less everyday gender discrimination in remote versus on-site work. This effect is particularly pronounced for younger women and those who interact mainly with men. Overall, this study advances research on how work location shapes workers’ outcomes and experiences, enriches the literature on the trade-offs women face in virtual and on-site settings, and extends scholarship on the contextual factors shaping workplace discrimination. Funding: This work was supported by Social Sciences and Humanities Research Council of Canada [Grant 435-2020-0059], the Canada Research Chairs Program, and the Institute for Pandemics and the Institute for Gender and the Economy at the University of Toronto. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2022.16949 .
Passion Penalizes Women and Advantages (Unexceptional) Men in High-Potential Designations
Authors: He Joyce C. , Jachimowicz Jon M. , Moore Celia 
Published: December 2024

High-potential programs offer a swift path up the corporate ladder for those who secure a place on them. However, the evaluation of “potential” occurs under considerable uncertainty, creating fertile ground for gender bias. We document that men are more likely than women to be designated as high potential, and unpack how gendered responses to employees’ expressions of passion—one of the most commonly used criteria used in evaluating potential—both penalize women and advantage men in high-potential selection processes. First, and based on prior research on gender display rules, we suggest that expressions of passion are viewed as a less appropriate emotional display for women than men, giving rise to a female penalty. Second, and drawing on shifting standards theorizing, we posit that expressions of passion shift evaluators’ predictions of candidates’ diligence more meaningfully for men than women, creating a male advantage—particularly for men who are reasonably high but not exceptional performers. We provide supporting evidence across two studies examining placement into high-potential programs in a real talent review setting (N = 796) and a preregistered experiment that uses videos featuring trained actors (N = 1,366), supported by two supplementary studies (N = 1,590). Taken together, this work sheds light on the ways the increasing emphasis on passion in contemporary workplaces may exacerbate gender inequalities. Progressing our understanding of gender bias beyond gendered reactions to criteria that penalize women (i.e., backlash), our work also unveils a novel and particularly pernicious form of gender bias driven by gendered inferences about passion that advantage men. Supplemental Material: The online supplement is available at https://doi.org/10.1287/orsc.2023.18018 .
A IGREJA BATISTA DA LAGOINHA E SUAS ESTRATÉGIAS DE EXPANSÃO NO RIO DE JANEIRO
Authors: Casanova Kimmemgs Pamela , Machado Mônica 
Published: December 2024

Este artigo procura apresentar e discutir a atuação e expansão territorial da Igreja Batista da Lagoinha (IBL) no Rio de Janeiro, denominação pentecostal originada em Minas Gerais, em 1957. Em 2013, implantou seu primeiro templo no Rio e passou a se difundir pelo território brasileiro. Sua estratégia de expansão territorial abrange tanto a implantação de imponentes templos sede, esteticamente modernos, como também pela simples prática da nucleação, ou seja, pela organização de grupos de pregação em diversos territórios, denominada pela Igreja como Grupos de Crescimento (GCs). Abrange, igualmente, a utilização intensiva de redes sociais e plataformas digitais, sempre associada às formas espaciais implantadas pela IBL. Com relação à estratégia locacional, observa-se que a IBL tem priorizado áreas mais valorizadas, sobretudo, para a instalação dos templos sede. Em geral, estão situados em principais vias de circulação, com infraestrutura e comércio. Além das atividades religiosas, a Igreja realiza inúmeras ações assistencialistas, que incluem toda a comunidade religiosa e criam laços de pertencimento. Do ponto de vista metodológico, este estudo foi elaborado a partir dados do Censo Demográfico do IBGE, do site da IBL e de pesquisas de campo realizadas nas igrejas da Barra da Tijuca, Leblon e Niterói, Rio de Janeiro. Organizado em três partes, este artigo inicia apresentando algumas considerações sobre o crescimento evangélico brasileiro a partir da década de 1970, com intuito de situar a IBL nesse contexto. Será detalhado o surgimento e a expansão da IBL no Rio de Janeiro. Por fim, suas atuais estratégias de difusão serão exploradas.
Experiência profissional e idade como contributo do clima de segurança no centro cirúrgico: estudo transversal
Authors: Fassarella Cintia Silva , Ferreira Rosilene Alves , Veiga Nathália Henriques , Azevedo Ana Paula Silvestre dos Santos , Ribeiro Olga Maria Pimenta Lopes , Pereira Soraia Cristina de Abreu , Camerini Flavia Giron , Henrique Danielle de Mendonça 
Published: December 2024

Objetivo: identificar a associação entre tempo de experiência profissional e idade com os domínios do clima de segurança dos profissionais do centro cirúrgico. Método: estudo transversal, realizado com 179 profissionais da equipe multiprofissional do centro cirúrgico universitário localizado no Rio de Janeiro, utilizando o Questionário de Atitudes de Segurança/Centro Cirúrgico. Associação das variáveis determinada pelo teste qui-quadrado (p<0,05). Resultados: evidencia-se associação do tempo de experiência com os domínios do clima de segurança “Percepção da gerência” (p-valor 0.039), “Percepção do desempenho profissional” (p-valor 0.014) e “Percepção do estresse” (p-valor <0.001). Para idade, observa-se associação com “Percepção do desempenho profissional” (p-valor <0.001) e “Percepção do estresse” (p-valor <0.001). Conclusão: observou-se que tempo de experiência profissional e idade obtiveram associação com o clima de segurança, assim essas variáveis podem auxiliar gestores do centro cirúrgico em traçarem melhores estratégias de alocação de recursos humanos, de modo a promover uma assistência cirúrgica mais efetiva e segura.
Vulnerabilidade e populações vulnerabilizadas às infecções sexualmente transmissíveis nos currículos de enfermagem: percepção dos docentes
Authors: Petry Stéfany , Padilha Maria Itayra , Silva Amina Regina , Villarinho Mariana Vieira , Costa Roberta 
Published: December 2024

Objetivo: analisar o interesse teórico, político e filosófico acerca da vulnerabilidade e das populações vulnerabilizadas às infecções sexualmente transmissíveis na formação dos estudantes de Graduação em Enfermagem de Universidades Federais brasileiras. Método: estudo qualitativo, histórico social, com uso de fontes orais e documentais. Realizadas 23 entrevistas com docentes de cinco cursos de graduação em enfermagem. Os dados foram inseridos no software Atlas.ti versão 9.0 para codificação, e operacionalizada a Análise de Conteúdo. Resultados: a vulnerabilidade e as populações vulnerabilizadas são compreendidas pelos docentes diante de sua complexidade, que envolve fatores sociais, estruturais e econômicos. São discutidas em alguns momentos durante o processo formativo. Os estudantes possuem dificuldades em perceber a própria vulnerabilidade. Considerações finais: a abordagem dessa temática deve ser discutida no ensino dos futuros enfermeiros. A vulnerabilidade do estudante precisa ser refletida de modo que o mesmo perceba sua própria vulnerabilidade e compreenda a importância do autocuidado.
Compact Nd:YVO4 laser system based on a vapor chamber passive cooling technique
Authors: Li Zhuoran , Yu Jun , Zhan Ke , Gu Jinwei , Cui Qingyue , Kong Han , Xu Hanlin , Zhang Zhe , Wang Famei , Lin Qingdian , Liang Jialin , Zhou Cangtao , Ruan Shuangchen , Guo Xiaoyang 
Published: December 2024

A compact Nd:YVO4 laser system based on a vapor chamber passive cooling technique has been developed and explored for the first time, to our best knowledge. An average power of 8.84 W with beam quality of M2<2.2 and slope efficiency of 44% is experimentally demonstrated, which is better than using the pure copper plate cooling and is similar to using water cooling under the same experimental conditions. This work demonstrates the advantages and promising applications of the vapor chamber cooling technique in solid-state lasers.
Visions and Victims: Art Melodrama in the Films of Carl Th. Dreyer, Amanda Doxtater (2024)
Authors: Egholm Morten 
Published: December 2024

Review of: Visions and Victims: Art Melodrama in the Films of Carl Th. Dreyer, Amanda Doxtater (2024)
Madison, WI: University of Wisconsin Press, 255 pp.,
ISBN 987-0-29934-750-5, h/bk, $79.95
Evaluating Artificial Intelligence-Driven Responses to Acute Liver Failure Queries: A Comparative Analysis Across Accuracy, Clarity, and Relevance
Authors: Malik Sheza , Frey Lewis J. , Gutman Jason , Mushtaq Asim , Warraich Fatima , Qureshi Kamran 
Published: December 2024

INTRODUCTION:
Recent advancements in artificial intelligence (AI), particularly through the deployment of large language models (LLMs), have profoundly impacted healthcare. This study assesses 5 LLMs—ChatGPT 3.5, ChatGPT 4, BARD, CLAUDE, and COPILOT—on their response accuracy, clarity, and relevance to queries concerning acute liver failure (ALF). We subsequently compare these results with ChatGPT4 enhanced with retrieval augmented generation (RAG) technology.

METHODS:
Based on real-world clinical use and the American College of Gastroenterology guidelines, we formulated 16 ALF questions or clinical scenarios to explore LLMs' ability to handle different clinical questions. Using the “New Chat” functionality, each query was processed individually across the models to reduce any bias. Additionally, we employed the RAG functionality of GPT-4, which integrates external sources as references to ground the results. All responses were evaluated on a Likert scale from 1 to 5 for accuracy, clarity, and relevance by 4 independent investigators to ensure impartiality.

RESULTS:
ChatGPT 4, augmented with RAG, demonstrated superior performance compared with others, consistently scoring the highest (4.70, 4.89, 4.78) across all 3 domains. ChatGPT 4 exhibited notable proficiency, with scores of 3.67 in accuracy, 4.04 in clarity, and 4.01 in relevance. In contrast, CLAUDE achieved 3.04 in clarity, 3.6 in relevance, and 3.65 in accuracy. Meanwhile, BARD and COPILOT exhibited lower performance levels; BARD recorded scores of 2.01 in accuracy and 3.03 in relevance, while COPILOT obtained 2.26 in accuracy and 3.12 in relevance.

DISCUSSION:
The study highlights Chat GPT 4 +RAG's superior performance compared with other LLMs. By integrating RAG with LLMs, the system combines generative language skills with accurate, up-to-date information. This improves response clarity, relevance, and accuracy, making them more effective in healthcare. However, AI models must continually evolve and align with medical practices for successful healthcare integration.
Symptom Burden After Acute Pancreatitis and Its Correlation With Exocrine Pancreatic Function: A Multicenter Prospective Study
Authors: Bejjani Joseph , Culp Stacey , Nikahd Melica , Phillips Anna Evans , Singh Vikesh , Roberts Kristen M. , Abu-El-Haija Maisam , Krishna Somashekar G. , Ramsey Mitchell L. , Lahooti Ali , Lee Peter J. , Hart Phil A. , Papachristou Georgios I. 
Published: December 2024

INTRODUCTION:
Gastrointestinal (GI) symptoms and weight loss develop during and after acute pancreatitis (AP), but remain understudied. In this prospective, multicenter study, we aim to assess GI symptom burden and weight loss and their correlation with exocrine function up to 12 months post-AP.

METHODS:
GI symptom burden, anthropometrics, and exocrine pancreatic function were systematically measured in adults (≥18 years) with AP at predefined intervals: hospitalization (enrollment), 3 months, and 12 months post-AP. Symptoms were evaluated using a 15-item tracker, including abdominal symptoms, stool characteristics, and activities of daily living, higher scores indicating greater symptom burden (range 0–45). Exocrine function was assessed with fecal elastase-1 (FE-1) levels.

RESULTS:
GI symptoms were collected in 97 participants with 12-month follow-up. The median (interquartile range) GI-symptom score was 7 (3–12) with 55 participants (57%) experiencing at least one symptom frequently (often or almost always). In multivariable linear regression, younger age, lower Charlson Comorbidity Index, smoking, recurrent AP, and alcoholic or idiopathic etiologies were associated with significantly higher GI-symptom burden at 12 months. A significant negative correlation was found between GI symptoms and FE-1 levels during hospitalization (ρ = −0.288; P = 0.015) and at 12 months (ρ = −0.219; P = 0.046). Eighteen participants (18.6%) lost ≥10% body weight between hospitalization and 12 months, and had significantly lower median FE-1 levels at 12 months compared with the group without weight loss (166 vs 332 µg/g, P = 0.016).

DISCUSSION:
This is the first study to prospectively assess GI-symptom burden and exocrine function post-AP. Lower exocrine pancreatic function at 12 months was associated with increased symptom burden and weight loss. These findings support further investigations to define and improve patient-reported outcomes post-AP. This study is registered with ClinicalTrials.gov, NCT03063398.
Demosthenes, not Callimachus! P.Oxy. 2258, Unidentified Fragment 11
Authors: Meliadò Claudio 
Published: December 2024

Abstract
P.Oxy. XX 2258 is one of the most renowned papyri of Callimachus. This article demonstrates that one of the scraps published among the Unidentified Fragments, which contains marginal annotations, actually originates from a Demosthenes codex.
A Study on the Current Bonus–Malus System in the Moroccan Automobile Insurance Market
Authors: BOUNNITE Mohamed Yasser 
Published: December 2024

Abstract
This study employs a Poisson model with Generalized Estimating Equations (GEE) to identify the key factors in the Moroccan auto insurance rating system. Crucial factors identified include gender, tariff-determining usage codes, vehicle usage, and driver experience. A comparison of this study model with Morocco’s current rating system reveals the presence of pricing suboptimality, which can be improved by enhancing the incorporation of driving history and adjusting the Bonus–Malus system to better reflect actual claim patterns and risk profiles.
Prediction of syngas production in the gasification process of biomass employing adaptive neuro-fuzzy inference system along with meta-heuristic algorithms
Authors: Wang Heng , Cao Shuming , Liu Xi 
Published: December 2024

Abstract
Compared to fossil fuels, biomass fuels have minimal sulfur content, lower ash production, and significantly reduced emissions. The global need to reduce dependence on imported energy sources and preserve dwindling fossil fuel reserves underscores the importance of utilizing alternative energy resources. Biomass, with its abundant availability, presents a promising source for syngas production, even though the gasification procedure requires substantial energy due to its endothermic nature. Challenges related to the efficiency of biomass gasification and compliance with environmental standards have hindered economic viability. Much attention has been focused on predictive modeling of biomass gasification procedures to address these issues, necessitating robust frameworks capable of predicting parameters under varying operating conditions. This article introduces two hybrid frameworks, which are combined versions of Adaptive Neuro-Fuzzy Inference System (ANFIS) with Artificial Rabbits Optimization (ARO) and Crystal Structure Algorithm (CSA), based on proximate biomass values to predict elemental compositions (N2 and H2). These intelligent hybrid frameworks, trained with 70 % of biomass data, were further validated and tested with the remaining 15 % portions of the database. The frameworks were assessed based on some known performance metrics, namely, root mean squared error (RMSE), mean absolute error (MAE), coefficient of determination (R
2), RMSE-observations standard deviation ratio (RSR), and Nash-Sutcliffe Efficiency (NSE). Developed single and two hybrid frameworks compared and obtained outcomes revealed that both introduced optimizers efficiently promoted N2 and H2 estimation by ANFIS, especially CSA. R
2 values for ANCS were a maximum of 0.993 in both targets’ predictions. Also, minimum RMSE values of 1.007 and 1.470 related to N2 and H2 prediction emphasized the accuracy of ANCS, which is capable of being used in real-world applications.
Optimizing tacrolimus therapeutic drug monitoring in Tunisian kidney transplant recipients: exploring the variability in bioavailability and the correlation between pharmacokinetic parameters
Authors: Aloui Ghaith , Charfi Rym , Daldoul Mouna , Ben Hammamia Syrine , Ben Sassi Mouna , Zouari Mohamed , Eljeberi Hanene , Daghfous Riadh , Gaies Emna , Trabesli Sameh 
Published: December 2024

Abstract

Objectives
While the existing literature extensively covers the topic of tacrolimus variability, it remains crucial to gather data that are tailored to the Tunisian population. Our primary goal was to assess the variability in tacrolimus bioavailability using the Cp(0)/weight dosage ratio in Tunisian kidney transplant patients. We also aimed to determine the correlations between blood trough level (Cp(0)) and the area under the concentration–time curve (AUC0–12 h) in this cohort.

Methods
This retrospective study included patients treated with oral tacrolimus for the prevention of organ rejection between 2009 and 2023. The correlation between parameters was analyzed through a Pearson coefficient and a regression model. We assessed the inter- and intraindividual variability by calculating the coefficient of variation for patients with at least three samples.

Results
Analysis of 2,124 samples revealed a weak correlation (R=0.121) between Cp(0) and weight dosage. We found that 79.3 % of patients exhibited high variability in the Cp(0)/weight dosage ratio. A strong correlation (R=0.797) was found between Cp(0) and the AUC0–12 h. We also found that 47.6 % of patients showed high variability in the AUC0–12 h/Cp(0) ratio.

Conclusions
This study underscores the necessity for individualized therapeutic drug monitoring in Tunisian kidney transplant recipients due to the high variability in the Cp(0)/weight dosage ratio. The AUC0–12 h/Cp(0) ratio is proposed as a more consistent parameter for therapeutic drug monitoring, offering potential improvements in tacrolimus therapy management.
Interrelation between mechanical and electromagnetic radiation emission parameters with variable notch-width ratios under tensile fracture in silicon steel
Authors: Anand Anu , Kumar Rajeev 
Published: December 2024

Abstract
The research investigates the effect of variable notch-width ratios on mechanical and electromagnetic radiation (EMR) parameters during the tensile fracture of silicon steel. The primary purpose is to comprehend the plastic deformation and crack propagation at an atomic level. The mechanical and EMR parameters chosen for analysis were correlated. The EMR energy release rate correlated well with the elastic strain energy release rate. The good fit between the EMR parameters and the plastic zone radius is a novel method to determine the crack growth behaviour of metals. A theoretical model of dislocation predicted the nature of EMR signals at fracture. A reasonable agreement between cross-slip energy with maximum stress at crack instability, the elastic strain energy release rate, and the EMR energy release rate will help assess the dislocation dynamics of metals. The EMR amplitude was sensitive to varying strain rates.
From raw materials to functional material: synthesis and piezoelectric characterization of PIN–PT binary relaxor material
Authors: Bhoi Bomkesh , Purohit Pranati 
Published: December 2024

Abstract
Lead indium niobate holds particular attention as a functional piezoelectric material as it can transit from a disordered phase to an organized one with exposure to heat for a long time. Obtaining pure-phase perovskite lead indium niobate ceramics without any pyrochlore phase using the conventional mixed oxide method poses significant challenges. This difficulty arises from the low tolerance and electronegativity difference of lead indium niobate in comparison to other perovskite compounds. The dielectric properties of lead indium niobate can be enhanced by adding lead titanate to its composition. In this study, a binary system of lead indium niobate with lead titanate is synthesised close to the morphotropic phase boundary composition by taking 35, 40 and 45 mol.% of lead titanate by using two-step sintering method. Out of the different compositions, the lead indium niobate with 35 mol.% of lead titanate shows high piezoelectric properties and can be a suitable material for energy harvesting.
Multi-objective optimization of truss structures using the enhanced Lichtenberg algorithm
Authors: Panagant Natee , Mahajan Shubham , Sait Sadiq M. , Yıldız Betül Sultan , Yıldız Ali Rıza , Khodadadi Nima , Mehta Pranav 
Published: December 2024

Abstract
The primary objective of numerous optimization problems is to enhance a single metric whose lowest or highest value accurately reflects the response quality of a system. However, in some instances, relying solely on one metric is not practical, leading to the consideration of multi-objective (MO) optimization problems that aim to improve multiple performance indicators simultaneously. This approach requires the use of a multi-objective optimization method adept at handling the intricacies of scenarios with various indices. Consequently, researchers have not explored multi-objective truss optimization as extensively as single-objective (SO) scenarios. The novel multi-objective Lichtenberg algorithm with two archives (MOLA-2arc) has been developed to address this. The efficacy of MOLA-2arc is evaluated against eight other MO algorithms, including the multi-objective bat algorithm (MOBA), multi-objective crystal structure algorithm (MOCRY), multi-objective cuckoo search (MOCS), multi-objective firefly algorithm (MOFA), multi-objective flower pollination algorithm (MOFPA), multi-objective harmony search (MOHS), multi-objective jellyfish search (MOJS) algorithm, and the original multi-objective Lichtenberg algorithm (MOLA). The challenge is to minimize structural mass and compliance while adhering to stress limitations. The outcomes demonstrate that MOLA-2arc shows notable improvements over its predecessor, MOLA, and surpasses all other competing algorithms in this study.