bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cell-associated viral community composition and its functional potential in a dimictic lake on the Canadian Shield
Authors: Collis Cody C. , Tromas Nicolas , Nissimov Jozef I. 
Published: December 2024

ABSTRACTThe Turkey Lake Watershed (TLW), located in Northern Ontario, forms a cascading lake system which flows and eventually connects into Lake Superior. Historically, the TLW has been used extensively for studying the effects of acid rain and other aspects related to climate change. While microbes are integral components of all aquatic habitats, investigations into TLW’s microbial community are still relatively limited, and there are no studies that have specifically investigated the viral fraction of that community. One reason for this oversight is the difficulty in obtaining enough virus biomass from a remote location such as the TLW, which could then be used effectively in downstream sequencing and analysis. To overcome this, we investigated viral signatures associated with microbial cells, which requires less biomass at the time of sample collection. We performed a seasonal metagenomics study of Big Turkey Lake (BTL), one of the main lakes in the TLW, to examine cell-associated viral communities in the summer of 2018, spring-autumn of 2019, and winter of 2020. We evaluated viral diversity, predicted potential host identity, and performed an analysis of auxiliary metabolic genes (AMGs) to gain additional functional insights into the detected viruses and their potential impacts. Through our analysis, we reveal a dynamic viral community across seasons. The majority of viral contigs (56-70%) belonged to unclassified viruses. Of those that were classified, ∼2-25% were assigned to the recently abolishedCaudoviralesorder (nowCaudoviricetesclass), and∼1.5-19% were in the viral familyPhycodnaviridae;i.e., viruses which normally infect eukaryotic algae. Six draft viral metagenome-assembled genomes (vMAGs) with a genome size range of 11-45 kbp were also reconstructed and identified asCaudovirales. Interestingly, AMGs for lipid metabolism were only detected in the winter, suggestive of a potential niche specific role for these AMGs in Big Turkey Lake. Collectively, these insights provide an essential footing for further work on the role of viruses in this important freshwater habitat.
Predicting temozolomide response in low-grade glioma patients with large-scale machine learning
Authors: Du Hanqin , Piyawajanusorn Chayanit , Ghislat Ghita , Ballester Pedro J. 
Published: December 2024

ABSTRACTBackgroundTemozolomide is the primary chemotherapeutic agent and first-line treatment for low-grade glioma (LGG). Although LGGs are generally less aggressive than high-grade gliomas (HGGs), they can eventually progress into HGGs, making it crucial to maximise the efficacy of initial LGG treatment.MethodsIn this study, we analysed data from 109 LGG patients in The Cancer Genome Atlas (TCGA) to assess the predictive performance of 12 machine learning (ML) classification algorithms in forecasting temozolomide response, utilising six types of omics data. Cross-validation and bootstrapping bias correction were employed to compare the performance of these models with that of a conventional biomarker-based model using MGMT promoter methylation status.ResultsAmong the models, the miRNA-based approach using the XGBoost algorithm showed the most promising predictive performance, with a Matthews Correlation Coefficient (MCC) of 0.447, outperforming the auto-ML method JADBio (MCC = 0.250) and the MGMT biomarker-based model. Converting the task into a regression framework by encoding cancer response as a continuous variable generally weakened predictive performance, with best model based on methylation profile (MCC = 0.344). Additionally, ML models focusing on biomarker-relevant features demonstrated improved prediction accuracy, though not to the extent of omics-based models, with the support vector machine (SVM) model achieving an MCC of 0.331. Incorporating clinical variables, such as patient age and Karnofsky score, further enhanced predictive power, with the LR-OMC model achieving the highest MCC (0.483). Feature importance analysis identified six significant miRNA factors, including three tumour-related miRNAs (miR-335, let-7f, and miR-7-2) and three potential biomarkers (miR-204, miR-6513, and miR-376).DiscussionOverall, this study systematically demonstrates the potential of large-scale analyses combining machine learning and omics data to predict temozolomide response, offering superior predictive accuracy compared to standard MGMT biomarkers.
IFNα Inhibits JAK2V617F-Driven Neoplastic Vasculogenesis and Endothelial-to-Mesenchymal Transition in a 3D iPSC-Based Bone Marrow Niche Model
Authors: Caduc Madeline J. , Mabrouk Mohamed H. E. , Lopez Cristina B. , Grasshoff Martin , Buhl Eva M. , Ernst Sabrina , Wong Dickson W. L. , Müller-Newen Gerhard , Vogt Michael , Eschweiler Jörg , Boor Peter , Ackermann Maximilian , Chatain Nicolas , Franzen Julia , Costa Ivan G. , Zenke Martin , Schneider Rebekka K. , Brümmendorf Tim H. , Koschmieder Steffen , de Toledo Marcelo A. S. 
Published: December 2024

AbstractThe vascular niche plays a crucial role in regulating hematopoiesis, and the presence of JAK2V617F endothelial cells (EC) in myeloproliferative neoplasms (MPN) underscores its therapeutic significance. Leveraging patient-specific induced pluripotent stem cells (iPSC) harboring JAK2WTor the MPN-driver JAK2V617F (heterozygous, JAK2V617FHETor homozygous, JAK2V617FHOM), we developed a scalable 3D bone marrow (BM)-niche mimicking model to study neoplastic vasculogenesis with precise control over cellularity and genetics. Global RNA-sequencing revealed zygosity-dependent phenotypic differences in EC, with JAK2V617FHETiPSC-derived EC (iEC) shifting toward a pro-mesenchymal phenotype via endothelial-to-mesenchymal transition (EndMT), while JAK2V617FHOMiEC displayed dysregulated translation machinery. EndMT was exacerbated in JAK2V617FHETiEC-mesenchymal stromal cells 3D cocultures exposed to inflammatory cytokines and was effectively inhibited by the tyrosine kinase inhibitors ruxolitinib and nintedanib. Notably, interferon-alpha (IFNα) showed potential in reducing EndMT, with its anti-EndMT effect validatedin vivoin murine and MPN patient samples. Single-cell RNA sequencing revealed that JAK2V617F hematopoietic cells further amplified EndMT, emphasizing the interplay between the vascular niche and hematopoietic compartments. To our knowledge, this is the first study to report that IFNα’s anti-fibrotic and anti-angiogenic effects may be partly mediated through EndMT inhibition. Our 3D coculture model offers a powerful platform for mechanistic studies of human hematopoiesis.
Nonthermal solid-solid phase transition in ferromagnetic iron
Authors: Azadi S. , Wark J. S. , Vinko S. M. 
Published: December 2024

We posit the existence of a nonthermal phase transition in iron, driven by a loss of ferromagnetic ordering on ultrafast timescales with increasing electron temperature. The transition corresponds to a solid-solid bcc to fcc phase transformation and takes place at an electron temperature of 0.62 eV while the ion lattice remains near room temperature. The bcc structure initially undergoes phonon softening during the magnetic transformation, followed by a solid-solid phase transition to the fcc structure, and a subsequent hardening of phonon modes. We present a detailed physical picture of the process, supported by finite-temperature density functional theory simulations of the phonon dispersion curves, electronic density of states, and thermodynamic free energy.

Published by the American Physical Society
2024
The role of green influencers on users' green consumption intention: an empirical study from China and Pakistan
Authors: Cui Ting , Tang Shenlong , Iqbal Qaisar 
Published: December 2024

PurposeBased on social identity theory and parasocial interaction theory, this paper investigates the psychological influence mechanism of social media green influencers (GIs) on users' green consumption intention (GCI). It also examines the effects of users' environmental concern (EC), follow status (follower/non-follower), and nationality (Chinese/Pakistani).Design/methodology/approachThis study uses convenience and exponential non-discriminatory snowball sampling to collect 393 valid data from China and Pakistan. Research hypotheses are tested using Smart-PLS 4.0.FindingsThe results confirm that parasocial relationships (PRs) and interactions (PIs) significantly influence green influencers' identification (GII) and green self-identification (GSI), which then positively affect green life attitudes (GLA) and ultimately promote GCI. Unsurprisingly, it proves EC moderates the relationship between GLA and GCI. Additionally, users' follow status (follower/non-follower) and nationality (Chinese/Pakistani) do not significantly moderate the hypotheses proposed in the study.Originality/valueThis study enriches the research on GIs and the psychological influence mechanism of GCI by combining media communication and consumer behavior. Furthermore, it provides new insights into the moderating role of social media users’ follow status and nationality.
Antecedents of consumer purchase intention and behavior towards organic food: the moderating role of willingness to pay premium
Authors: Munaqib Peerzada , Islam Sheikh Basharul , Darzi Mushtaq Ahmad , Bhat Mohd Abass , Al Lawati Essam Hussain , Khan Shagufta Tariq 
Published: December 2024

PurposeThis research aims to examine how health consciousness, social identity, self-identity, trust and willingness to pay premium impact individuals’ intention to make green purchases, which in turn influences organic purchasing behavior. Additionally, the study tried to examine the moderating effect of willingness to pay premium.Design/methodology/approachUtilizing a purposive sampling approach, a questionnaire survey was used to gather information from 452 customers in India. The conceptual model was assessed, and the research hypotheses were examined using partial least squares structural equation modeling.FindingsThe results of this study showed that the intention to make green purchases is strongly influenced by consumers health consciousness, social identity and trust. However, self-identity did not influence consumers green purchase intention. Furthermore, the moderating effect of willingness to pay premium was significant, except for self-identity, in the relationship of health consciousness, willingness to pay premium social identity and trust with green purchase intention.Practical implicationsThe research will help producers and marketers refine food and marketing tactics to promote a favorable perception of organic food products.Originality/valueThis study is pioneering in (1) investigating the moderating impact of willingness to pay premium (WLPP) in the relationship of health consciousness, social identity, self-identity and trust with green purchase intention and (2) investigating the influence of consumer identities on green purchase intention in the Indian context.
The role of perceived human resource management practices in organizational citizenship behaviors: evidence from the healthcare sector
Authors: Mach Merce , Abrantes António Cunha Meneses , Alvarado Juan Rodrigo 
Published: December 2024

PurposeThis study aims to explain the effects of perceived HRM practices on employees’ attitudinal and behavioral responses, specifically, how perceived HRM practices influence organizational citizenship behavior (OCB).Design/methodology/approachUsing a sample of 276 employees working in healthcare centers, we conducted a cross-sectional research design with structural equation modelling and path-modeling techniques (PROCES macro).FindingsResults provide evidence of the mediating role that organizational trust and job satisfaction play in the relationship between HRM organizational practices and employees’ OCB, as well as the conditional role that organizational justice levels play on these indirect effects, enhancing the impact of perceived HRM practices on employees’ behaviors.Practical implicationsThis study provides practical insights to help organizations and managers enhance employees OCB to go above and beyond, directly contributing to organizational performance through effective HRM practices, promoting organizational trust, job satisfaction and the perceptions of organizational justice.Originality/valueThis empirical study makes several contributions. When employees perceive organizational justice, the impact of perceived HRM practices on behaviors that drive performance improvements contributes to raise both their organizational trust and OCB. If managers and organizations want to increase their impacts, they should invest in developing a sense of organizational justice among employees.
Nexus between corporate sustainable practices and sustainable development goals: Indian evidence
Authors: Maji Santi Gopal , Haloi Archana 
Published: December 2024

Purpose
The purpose of this study is to explore the disclosure of sustainable development goals (SDGs) by Indian firms and to examine the association between sustainable business practices and the disclosure of SDGs.

Design/methodology/approach
The study is based on large Indian non-financial firms listed in Bombay Stock Exchange 200 for six years from 2016–2017 to 2021–2022. Sustainable business practices are measured using four important indicators - the quality of sustainability discourse, compliance with Global Reporting Initiative guidelines, adoption of the guidelines of the International Integrated Reporting Council and external assurance of published reports. Content analysis is used to compute the disclosure score of SDGs and corporate sustainability performance. The authors have used a fixed effects regression model followed by Tobit model and two-stage least square model to examine the association between sustainable business practices and the disclosure of SDGs.

Findings
The results indicate an increasing trend of disclosure of SDGs by Indian firms. The empirical findings suggest a positive impact of sustainable business practices on the SDGs disclosure after controlling for firm-specific and corporate governance variables. Among the components of corporate sustainability, social and environmental factors positively influence the SDGs.

Originality/value
The study is a noble attempt to enrich the extant literature by providing empirical evidence on the association between sustainable business practices and disclosure of SDGs considering four important indicators of sustainable practices. The findings are useful for theoretical and practical implications.
Business internationalization and intellectual capital components: the case of the Colombian manufacturing sector exports
Authors: Pulido-López Alejandra , López-Salazar Alejandra 
Published: December 2024

PurposeThis paper aims to understand the impact of intellectual capital components (human, structural and relational capital) on business internationalization through exports, analyzing the Colombian manufacturing sector.Design/methodology/approachA binomial logistic regression model was used in which the export propensity was the dependent variable. The explanatory variables consisted of the human capital, including training and managerial characteristics; the structural capital, including innovation, intellectual property, certifications and management and the relational capital, encompassing relationships with other companies, public entities and the domestic market. The Survey of Development and Technological Innovation - EDIT - Industry 2018, carried out by the National Administrative Department of Statistics of Colombia, was used to collect data from 7,529 companies in 24 manufacturing subsectors.FindingsThe research findings suggest that there is a positive relationship between internationalization and human capital (postgraduate, university and school training), with structural capital (innovation in organizational processes, ownership of patents, software rights, industrial rights, trademark registration, obtaining intellectual property rights, complexity in design, process certifications, compliance with technical requirements and the existence of production goals) and with relational capital (confidentiality agreements with other companies and contracts with the international public sector).Originality/valueThis article contributes to the literature generating knowledge on the relationship between intellectual capital and the internationalization of Colombian industrial companies. It will also have managerial and social implications serving as input for the decision-making process of firms undergoing internationalization, and for policymakers.
How customer integration drives green innovation: exploring the influence of regulatory pressures and market changes
Authors: Zhong DeYu , Um Ki-Hyun 
Published: December 2024

PurposeThis study aims to (1) validate the effectiveness of customer integration in enhancing firms’ green innovation and (2) explore the respective impacts of regulatory pressure and market changes on the effectiveness of integration mechanisms, thereby identifying the optimal integration outcomes for firms across different contexts.Design/methodology/approachUtilizing an integrated theoretical framework based on the extended resource-based view (ERBV) and contingency theory, this study examines the complex interactions among customer integration, regulatory pressure, market changes and green innovation. The analysis is based on a dataset of 293 responses from manufacturing firms in mainland China. Hierarchical regression analysis was employed to rigorously test the proposed hypotheses.FindingsThe key outcomes of this research are summarized in two major findings: (1) integrating customers into a firm’s processes meaningfully boosts green innovation initiatives and (2) market dynamics have been found to amplify the positive impact of customer integration on green innovation, whereas regulatory pressure significantly and negatively moderates this relationship.Originality/valueThis study uniquely integrates multiple theoretical perspectives, providing a richer understanding of how various contextual factors influence the relationship between customer integration and green innovation. These findings contribute original insights to the literature, highlighting how different contextual factors interact with customer integration and offering practical insights for firms to make strategic decisions in diverse contexts.
How does capital regulation under Basel I influence bank’s loan loss provisions in Tunisia?
Authors: Zouari Nawel Fendri , Neifar Malika 
Published: December 2024

PurposeThis study aims to investigate the effect of regulatory pressure on discretionary capital management measured with the discretionary loan loss provisions (DLLP) in public (PuBs) and Private (PrBs) banks in Tunisia. Three variables are used to proxy the regulatory capital constraints: (1) the change in capital requirements, (2) the beginning of the year capital ratio (3) and the end of year adjusted capital ratio.Design/methodology/approachTo address our objective, we provide in a first step the DLLP estimation as done by Shantaram and Steven (2021). Then, in a second step based on hand-collected panel data on the 12 commercial Tunisian banks, linear dynamic model with interaction variables is conducted to discriminate between PuBs and PrBs behavior. The generelized method of moment (GMM) estimation is applied to show if the PuBs and PrBs behave differently to regulatory capital pressures. For robustness check, the discriminant analysis and the nonlinear probit and logit models are considered in a third step.FindingsThe three capital constraints affect differently the discretionary behavior of Banks. First, an increase in capital requirements makes PrBs under pressure to reduce their DLLP, which is not the case for PuBs. Second, a low capital ratio at the beginning of the year makes strong pressure on PuBs to reduce their DLLP. Third, neither PrBs nor PuBs decrease their DLLP to improve the end of year-adjusted capital ratio. The discretionary behavior of PrBs is influenced by pressures to appear well-capitalized while the behavior of PuBs is influenced by pressure to enhance their capital positions. These results are well strengthened by the discriminant analysis and the nonlinear probit and logit model investigations.?Originality/valueA few studies examined incentives based on the regulatory theory in Tunisian banks and were carried out within static linear models. Contrary to Elleuch and Taktak (2015) who tested the regulatory incentives following the publication of the (IMF, 2002), this paper tests, within linear dynamic model and nonlinear model, the effect of national prudential rules on capital management between 2006 and 2016.
Predicting Muslim MSMEs customer behavioral intentions at Islamic marketplaces through Islamic entrepreneurship context and principles
Authors: Riofita Hendra 
Published: December 2024

Purpose
This study aims to examine the effect of the Islamic entrepreneurship context and principles on Muslim micro, small and medium enterprises (MSMEs) customer behavioral intentions in Islamic marketplaces. In addition, it explored the capability of Islamic entrepreneurship principles to mediate the effect of the Islamic entrepreneurship context on Muslim MSMEs customer behavioral intentions.

Design/methodology/approach
Research data were collected from Muslim MSMEs customers across ten Islamic marketplaces in Indonesia by using purposive, snowball and nonprobability sampling techniques. The data were subsequently processed using SPSS and structural equation modeling with the AMOS software.

Findings
The findings demonstrated that the Islamic entrepreneurship context and principles positively affected Muslim MSMEs customer behavioral intentions in Islamic marketplaces. Furthermore, Islamic entrepreneurship principles could fully mediate the effect of the Islamic entrepreneurship context on Muslim MSMEs customer behavioral intentions.

Originality/value
This study contributes to the understanding of the correlation between the Islamic entrepreneurship context and principles as antecedents and Muslim MSMEs customer behavioral intentions as the consequent, extending the theory of reasoned action.