bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of novel thiazole derivatives as flaviviral protease inhibitors against DENV and JEV
Authors: Murtuja Sheikh , Das Sayan , Jana Indrani Das , Shilkar Deepak , Rakshit Gourav , Sarkar Biswatrish , Sinha Barij Nayan , Dewangan Rikeshwar Prasad , Mondal Arindam , Jayaprakash Venkatesan 
Published: November 2024

AbstractFlaviviruses are the causative agents of viral hemorrhagic fever (VHF) globally and have demonstrated the capacity to result in fatal outcomes if not managed effectively. Among different types of flaviviruses, dengue (DENV) and Japanese encephalitis (JEV) are the most common in tropical and subtropical countries. Given the scarcity of effective vaccines against flaviviral infections, small molecule agents that target crucial viral proteins emerge as the sole feasible option. This study outlines the synthesis of novel thiazole compounds as flavivirus NS2B-NS3 protease inhibitor and characterization of their antiviral activity against DENV and JEV. We synthesized a heterocyclic template derived from a substrate-based retrotripeptide dengue protease inhibitor, leading to forty-eight thiazole derivatives. Two compounds demonstrated significant inhibition of dengue virus protease activityin vitro. Comprehensive characterization of these two compounds was conducted through biochemical assay which revealed an uncompetitive mode of inhibition. Subsequent cell-based assays using Dengue and Japanese encephalitis viruses as representatives Flaviviruses imparted the potential of these compounds to block viral RNA synthesis, and viral replication. Finally time-course experiments unveiled that the two compounds impeded the accumulation of viral genomic RNA primarily at later stages of infection, aligning with their capacity to hinder NS2B-NS3 protease activity, polyprotein processing and viral genomic RNA replication. Together our work presents the development and validation of flavivirus protease inhibitors with therapeutic potential against Dengue and Japanese encephalitis virus.
Identification of Y-chromosome turnover in newts fails to support a sex chromosome origin for theTriturusbalanced lethal system
Authors: France James , Babik Wiesław , Cvijanović Milena , Dudek Katarzyna , Ivanović Ana , Vučić Tijana , Wielstra Ben 
Published: November 2024

AbstractNon-recombining regions of the genome often have profound effects on evolution, resulting in phenomena such as sex chromosomes and supergenes. Amongst the strangest examples are balanced lethal systems, such as that found in newts of the genusTriturus. These systems halve reproductive output, and the evolution of such a deleterious trait is difficult to explain. ForTriturusan intriguing model proposes that the balanced lethal system evolved from an ancestral Y-chromosome. To test this hypothesis, we identify the Y-chromosome ofTriturusand verify whether it, or the balanced lethal system, is homologous to the Y-chromosome of its sister genusLissotriton, which does not possess the balanced lethal system. We identify a set of candidate Y-linked markers inT. ivanbureschiand place them on a high-density linkage map that we construct with 7,233 RADseq markers. We validate male specificity of the markers across the genus, and then place both theTriturusandLissotritonY-linked regions within previously constructed target capture linkage maps that include genes linked to the balanced lethal system. We observe that neither theTriturusbalanced lethal system, nor theTriturusY-chromosome are homologous to theLissotritonY-chromosome. This is the first molecular evidence of a transition between Y-chromosome systems within salamanders. However, unless additional sex chromosome turnover events are involved, our data does not support a sex chromosome origin of the balanced lethal system.
Placebo and Nocebo Responses in Multiple System Atrophy - a systematic review and meta-analysis of clinical trials
Authors: de Amorim Afonso Pessoa , Rodrigues Filipe B , Castro-Caldas Ana , Ferreira Joaquim J 
Published: November 2024

AbstractBACKGROUNDMultiple System Atrophy (MSA) is a rapidly progressive and fatal neurodegenerative disease, with no effective treatment. Estimating the placebo and nocebo responses will help better design and interpret clinical trials.ObjectiveTo estimate the placebo and nocebo responses in MSA and explore their determinants.METHODSElectronic databases were searched up to November 2020. Randomized, blinded, placebo- or sham-controlled trials of patients with MSA were included if quantitative data were extractable on the placebo arm. The primary outcomes were: placebo response, defined as the within-group change from baseline, using any scale measuring motor outcomes; and nocebo response, defined as the proportion of patients experiencing adverse effects in the placebo arm. Random-effects meta-analyses were used to pool data. Several predetermined subgroup analyses and metaregressions were performed. PROSPERO registration number: CRD42021222915.RESULTSWe included 21 randomized controlled trials (614 participants). Pooled placebo response was an increase in the Unified MSA Rating Scale (UMSARS) parts I and II of 9.09 points (95% CI 7.78 to 10.31, I2=94.00%, 9 studies, 304 participants). Pooled nocebo response was 63,88% (CI 95% 41.15 to 84.05, I2=93.03%, 13 studies, 331 participants). Both placebo and nocebo responses were greater in trials with longer duration, whereas nocebo response was also higher in studies testing pharmacological interventions when compared with non-pharmacological interventions.CONCLUSIONSThere may be a favorable response associated with the placebo, but this data needs to be compared with a “no treatment group” in order to validate its real impact. The nocebo response is high and should be considered in future clinical trial design and interpretation.
Risk Factor Analysis for Cancer and Coronary Heart Disease: A Machine Learning Approach Using National Health and Nutrition Examination Survey Data
Authors: Hakan Şat Bozcuk 
Published: November 2024

ABSTRACTObjectivesThe relative significance of predictive factors for cancer and coronary heart disease (CHD) is still unclear. This study aims to identify and evaluate the risk factors contributing to the development of both conditions using the CatBoost machine learning algorithm.MethodsData from twelve datasets of the 2009–2010 National Health and Nutrition Examination Survey (NHANES), incorporating both survey responses and laboratory results, were used. Separate CatBoost models were developed to predict cancer and CHD occurrences, by using Shapley Additive Explanations (SHAP), with the help of Recursive Feature Elimination with Cross-Validation (RFECV), and by adjusting class weights, and model performance was assessed using Receiver Operating Characteristic (ROC) curves.ResultsThe datasets were combined to form a cohort of 5,012 participants, each with 24 selected features. The cancer prediction model achieved a ROC Area Under the Curve (AUC) of 0.76, with 13 selected features, yielding an accuracy of 0.70, sensitivity of 0.67, and specificity of 0.70. In contrast, the CHD prediction model achieved a higher ROC AUC of 0.87, with an accuracy of 0.83, sensitivity of 0.78, and specificity of 0.83. Accordingly, top predictive features for each disease have been ranked and selected by the CatBoost algorithm.ConclusionsThis study identifies key demographic and laboratory features significantly associated with cancer and CHD risk in the NHANES dataset. The findings suggest that these factors could be valuable for estimating individual risk and could inform machine learning models aimed at early detection and screening.
Measuring cultural friction in cross-border mergers and acquisitions using a microfoundation-based approach
Authors: Durand Muriel , Very Philippe 
Published: November 2024

Purpose
Cultural friction (CF) was introduced by researchers to overcome the issues and challenges of cultural distance measurement in the context of cross-border mergers and acquisitions (CBMAs). However, this construct has proved itself to be problematic to operationalize. To address this challenge, this paper aims to elaborate on a CF measurement instrument based on individual perceptions in CBMAs. This study used a microfoundation approach to measure CF, relying on managers’ interactions in CBMA settings.

Design/methodology/approach
To develop and validate a CF measurement in the context of CBMAs, this study followed a classical procedure including items development, lab tests and one field-study and an assessment of the construct validity.

Findings
The final instrument developed for measuring CF is composed of six critical incidents with three associated items each. The factor analysis revealed that the scale used in the field-test measures two factors of CF: internal and external. Reliability and discriminant validity are tested, demonstrating a good discriminant validity of “external” CF. The final measurement can be used as a valid and reliable scale in further studies to assess CF in the context of CBMAs.

Originality/value
This paper’s originality lies in developing and validating a CF measurement instrument that does not rely on cultural distance frameworks. The resulting scale shows the interest in considering micro-individual perceptions – the microfoundation level – for analyzing an organizational phenomenon as culture in CBMA contexts. Using a micro-founded approach, this study offers promising avenues for researchers who wish to study cultural interactions in international settings.
Entropy optimization in a radiative and chemically reactive EMHD flow of a nanofluid coexisting Ohmic dissipation and multiple slips
Authors: US Mohanaphriya , Chakraborty Tanmoy 
Published: November 2024

Purpose
This research focuses on the controlling irreversibilities in a radiative, chemically reactive electromagnetohydrodynamics (EMHD) flow of a nanofluid toward a stagnation point. Key considerations include the presence of Ohmic dissipation, linear thermal radiation, second-order chemical reaction with the multiple slips. With these factors, this study aims to provide insights for practical applications where thermal management and energy efficiency are paramount.

Design/methodology/approach
Lie group transformation is used to revert the leading partial differential equations into nonlinear ODE form. Hence, the solutions are attained analytically through differential transformation method-Padé and numerically using the Runge–Kutta–Fehlberg method with shooting procedure, to ensure the precise and reliable determination of the solution. This dual approach highlights the robustness and versatility of the methods.

Findings
The system’s entropy generation is enhanced by incrementing the magnetic field parameter (M), while the electric field (E) and velocity slip parameters (ξ) control its growth. Mass transportation irreversibility and the Bejan number (Be) are significantly increased by the chemical reaction rate (Cr). In addition, there is a boost in the rate of heat transportation by 3.66% while 0.05⩽ξ⩽0.2; meanwhile for 0.2⩽ξ⩽1.1, the rate of mass transportation gets enhanced by 12.87%.

Originality/value
This paper presents a novel approach to analyzing the entropy optimization in a radiative, chemically reactive EMHD nanofluid flow near a stagnation point. Moreover, this research represents a significant advancement in the application of analytical techniques, complemented by numerical approaches to study boundary layer equations.
An emotional learning process? The role of socially induced and regulated emotions for the development of an entrepreneurial mindset
Authors: Zabel Cynthia Maria Katharina , Meister Alexander , Van De Sandt Nicolas , Mauer René 
Published: November 2024

PurposeAlthough emotional dynamics (EDs) during the entrepreneurial learning (EL) process are acknowledged to promote the growth of an entrepreneurial mindset (EM), while having social causes, empirical research on learning mainly looks at emotions as socially isolated concepts. This study aims to investigate how socially induced and regulated emotions during the EL process affect EM development.Design/methodology/approachWe applied a qualitative, inductive approach related to interpretative phenomenological analysis to get deeply involved into individuals’ experienced emotions. We conducted semi-structured interviews with participants of two EL programs. Open-ended questions stimulated free narratives and detailed descriptions of experiences that were analyzed following a five-stage process.FindingsThere is a correlation between socially induced and regulated emotions and the development of EM elements. We suggest a framework for the EL process based on EDs, which triggers four main mechanisms that help individuals develop an EM: “re-assessment of individual emotions through EDs”, “EDs affected by facilitator intervention,” “sharing and co-creation of emotions,” and “sensemaking of experiences and emotions.”Originality/valueThis study adds to the knowledge on EDs during the EL process and contributes to the literature on EL and emotions in learning. Therewith, it helps to sensitize practitioners toward the complexity of emotions in the entrepreneurial process, allows to moderate individual emotional reactions and social Eds, and improves existing EE programs. Future research could investigate the interplay of specific personality traits, learning environments, and socioemotional team dynamics in EL.
Managerial dynamic capabilities of family firm retail managers: strategic enabling in a context of economic uncertainty
Authors: Ljungkvist Torbjörn , Boers Börje , Axell Christoffer 
Published: November 2024

PurposeThis study explores how retail family firm managers’ cognitive capabilities are used to enable firm strategy in a context of economic uncertainty.Design/methodology/approachThis paper is based on a case study using 31 interviews with family firm managers and archival data from retail micro, small and medium-sized enterprises (MSMEs).FindingsThe results indicate how managerial cognitive enabling mechanisms shape the manifestation of retail family firm dynamic capabilities (DCs) configurations.Originality/valueThree retail managerial cognitive strategic enabling mechanisms and their microfoundations are identified, explaining how three retail family firm DC configurations are shaped: (1) retail family firm customization-based sensing, (2) retail family firm lateral seizing and (3) retail family firm trust-based reconfiguring. The manifestation of these DC configurations illuminates how retail family firm managers can enable firm strategy in a context of economic uncertainty.
Predictive accuracy of the logit model to determine factors affecting delivery and postnatal care services utilization in Tanzania
Authors: Muya Mwajuma , Ilembo Bahati , Anasel Mackfallen 
Published: November 2024

PurposeThis paper examines factors affecting the delivery care (DC) and postnatal care (PNC) services utilization in Tanzania using the predictive accuracy of the binary logit model by including DC as among the predictors of PNC utilization.Design/methodology/approachThe study used secondary data from the Tanzania Demographic and Health Survey and Malaria Indicator Survey (2022) based on a sample of 13,266 women aged 15–49. Binary logit was used to analyze the association between independent variables and each binary dependent variable, followed by a stepwise likelihood ratio test for binary logistic regression analysis to select the most important predictors associated with DC and PNC. Odds ratios were used to predict the likelihood of the occurrence of significant explanatory variables in explaining the outcomes.FindingsThe results showed that the type of place of residence, wealth index, region, highest educational level, husband/partner’s level of education and respondent’s occupation were significant predictors of DC utilization. In contrast, the woman’s age, region, highest educational level, wealth index, DC and husband/partner’s educational level were significant predictors of PNC utilization. Public health interventions are needed to promote and increase the utilization of delivery and postal care services. The targets should be poor women and those residing in rural or remote areas.Originality/valueIncluding DC as a predictor variable (which was not used before) in PNC utilization improved the predictive power of the model and the robustness of the results.
Revisiting the determinants of tax revenue: an integrative model with conventional, economic policy and institutional factors
Authors: Garg Shubham , Mittal Sangeeta , Garg Aman 
Published: November 2024

PurposeThe Indian government is grappling in generating sufficient revenue resources through taxation to meet their expenditure on public goods and services. Therefore, the government authorities must possess adequate information on factors affecting the taxation revenue of the country to craft and execute policies effectively. Hence, this study endeavors to explore the determinants of tax revenue by incorporating conventional, economic policy and institutional factors.Design/methodology/approachThe study employed the Auto Regressive Distributed Lag (ARDL) modeling by using the data set from 1991 to 2022 according to the availability of the data.FindingsThe findings illustrate that trade openness, life expectancy, value added by the manufacturing sector and per capita GDP (Gross domestic Product) positively affect the tax efforts of the government in the conventional determinants. Similarly, in economic policy factors, the financial deepening also exhibits a favorable effect. Conversely, the inflation rate positively boosts the tax efforts in the short run, but it ultimately erodes the tax effort of the government in the long run. In the institutional factors, the official development assistance also illustrates a positive effect.Practical implicationsThe findings assert that the Indian government should devise better macro-economic and foreign trade policies with expediting the economic restructuring and bolstering their ability to manage and utilize the foreign aid assistance to boost the tax revenue of the country.Originality/valueTo the authors’ knowledge, this is the first study to incorporate these factors in the Indian context.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2024-0314
Improving the morphology of terrace-like transfer film to reduce wear rate of graphite/PTFE composites via filling low content silica
Authors: Zhang Longxiao , Wang Binghe , Chen Kun , Wang Shouren , Wang Gaoqi , Wang Peng , Xie Ting 
Published: November 2024

Purpose
The purpose of this paper is to fill low content of silica to improve the wear resistance of graphite/polytetrafluoroethylene (PTFE) composites, and to discuss the effect of low content of silica on the morphology of terrace-like transfer film.

Design/methodology/approach
The tribological properties of silica/graphite/PTFE composites were tested by rotating pin-on-disk friction and wear tester, and the morphology of terrace-like transfer film was observed by 3D laser scanning microscope and quantitatively analyzed through the multi-Gaussian function linear combination model.

Findings
The results showed that adding 3 wt.% silica in graphite/PTFE composites can reduce the wear rate by 87%. More importantly, the morphology of terrace-like transfer film changed significantly after filling a small amount of silica, including the increase of the number of layers and the coverage rate of transfer film.

Originality/value
This work is of great significance for further understanding the transfer film and achieving its morphology control to optimize the wear of high performance PTFE composites.
Carbon omission and financial market sustainability via government effectiveness: a cross-culture comparison of OECD and Asian emerging economies
Authors: Muneer Saqib , AlShammari Awwad Saad , Alshammary Khalid Mhasan O. , Waris Muhammad 
Published: November 2024

PurposeFinancial market sustainability is gaining attention as investors and stakeholders become more aware of environmental, social and governance issues, pushing demand for responsible and ethical investment practices. Therefore, this study aims to investigate the impact of carbon (CO2) emissions from three sources, oil, gas and coal, on the stock market sustainability via effective government policies.Design/methodology/approachThe eight countries belong to two different regions of world: Asian economies such as Pakistan, India, Malaysia and China, and OECD economies such as Germany, France, the UK and the USA are selected as a sample of the study. The 22-year data from 2000 to 2022 are collected from the DataStream and the World Bank data portal for the specified countries. The generalized methods of movement (GMM) and wavelet are used as the econometric tool for the analysis.FindingsOur findings show that the CO2 emission from coal and gas significantly negatively impacts stock market sustainability, but CO2 emission from oil positively impacts stock market sustainability. Moreover, all the emerging Asian economies’ CO2 emissions from coal and gas have a much greater significant negative impact on the stock market sustainability than the OECD countries due to the critical situation. However, the government’s effective policies have a positive significant moderating impact between them, reducing the effect of CO2 emission on the stock market.Research limitations/implicationsThis study advocated strong implications for policymakers, governments and investors.Practical implicationsEffective government policies can protect the environment and make business operations suitable, leading to market financial stability. This study advocated strong implications for policymakers, governments and investors.Originality/valueThis study provides fresh evidence of the government’s effective role to control the carbon environment that provide the sustainability to the organizations with respect to OECD and emerging economy.
Does ICT adoption influence the bank’s risk-taking behavior? Evidence from advanced, developing and emerging nations
Authors: Jeris Saeed Sazzad , Rafath Md. Anzir Hossain , Shahrin Must. Ayesha , Alharthi Majed 
Published: November 2024

PurposeThis is the first attempt to investigate the impact of information and communication technology (ICT) on the risk-taking behavior of banks.Design/methodology/approachThis study considers 74 advanced, developing and emerging countries in the period of 2010–2021. The study considers internet use, mobile subscriptions, broadband access and ATM availability as ICT indicators, while using bank Z_score as a proxy for risk-taking. To get comprehensive insights, pooled OLS, fixed effect models and generalized methods of moments (GMM) are applied.FindingsIt is found that ICT has a consistently positive influence on the risk-taking behavior of banks in advanced, developing and emerging countries. Notably, internet users and broadband access have a bigger impact in advanced economies, but mobile cellular subscriptions and ATMs are more significant in developing and emerging countries. Other factors, such as GDP growth and market capitalization, positively influence the bank’s risk-taking approaches, but the cost-to-income ratio and inflation have an inverse connection.Practical implicationsThis will provide useful advice to the government, bank executives, financial regulators, policymakers, regulators, academicians, technology developers and other relevant stakeholders who want to maximize the advantages of ICT in the banking sector while reducing related risks.Originality/valueThis is the first study to examine the impact of ICT on banks’ risk-taking approaches in advanced, developing and emerging countries.