bluuebunny/crossref_metadata_2025_split huggingface dataset:
HOP/STIP1 is required for KSHV lytic replication
Authors: Kirigin Elisa , Matandirotya Lorraine , Ruck Jamie-Lee , Weaver Frederick , Jackson Zoe , Chakraborty Abir , Veale Clinton Gareth Lancaster , Whitehouse Adrian , Edkins Adrienne Lesley 
Published: April 2024

AbstractKaposi sarcoma associated herpesvirus (KSHV) is a DNA virus that causes Kaposi sarcoma, a cancer of endothelial origin. KSHV uses the activity of host molecular chaperones like Hsp70 and Hsp90 for the folding of host and viral proteins required for productive infection. Hsp70 and Hsp90 chaperones form proteostasis networks with several regulatory proteins known as co-chaperones. Of these, Hsp90-Hsp70 organising protein (HOP) is an early-stage co-chaperone that regulates transfer of folding substrate proteins between the Hsp70 and Hsp90 chaperone systems. While roles for Hsp90 and Hsp70 in KSHV biology have been described, HOP has not previously been studied in this context despite its prominent interaction with both chaperones. Here we demonstrate a novel function for HOP as a new host factor required for effective lytic replication of KSHV in primary effusion cell lines.Data summaryThe authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files.
The immune checkpoint pathophysiology of depression and chronic fatigue syndrome due to preeclampsia: focus on sCD80 and sCTLA-4
Authors: Omar Jangir Sami , Albarzinji Niaz , Niu Mengqi , Taher Naz Hawree , Aram Bayar , Sulaiman Mohammed Salam , Moustafa Shatha Rouf , Al-Hakeim Hussein Kadhem , Maes Michael 
Published: April 2024

AbstractBackgroundNeuropsychiatric disorders in preeclampsia (PE) women are prevalent and worsen PE outcome. Immune-related biomarkers including soluble sCD80 and cytotoxic T-lymphocyte antigen-4 (sCTLA-4) are not well studied in relation to depression, anxiety, and chronic fatigue due to PE.AimsTo study serum immune-inflammatory biomarkers of PE and delineate their associations with the Hamilton Depression (HAMD), Anxiety (HAMA), and Fibro-Fatigue (FF) rating Scale scores.MethodssCD80, sCTLA-4, vitamin D, granulocyte-macrophage colony-stimulating factor, zinc, copper, magnesium, and calcium were measured in 90 PE compared with 60 non-PE pregnant women.ResultsPE women show higher depression, anxiety and FF rating scale scores as compared with control women. sCTLA-4, sCD80, and copper were significantly higher and zinc, magnesium, and calcium significantly lower in PE women than in controls. Multiple regression analysis showed that around 55.8%-58.0% of the variance in the HAMD, HAMA and FF scores was explained by the regression on biomarkers; the top 3 most important biomarkers were sCTLA-4, sCD80, and vitamin D. The sCTLA-4/sCD80 ratio was significantly and inversely associated with the HAMD/HAMA/FF scores. We found that around 70% of the variance in systolic blood pressure could be explained by sCTLA-4, vitamin D, calcium, and copper.ConclusionsThe findings underscore that PE and depression, anxiety, and chronic fatigue symptoms due to PE are accompanied by activation of the immune-inflammatory response system. More specifically, disbalances among soluble checkpoint molecules seem to be involved in the pathophysiology of hypertension and neuropsychiatric symptoms due to PE.
The impacts of Fintech adoption, green finance and competitiveness on banks’ sustainable performance: digital transformation as moderator
Authors: Hidayat-ur-Rehman Imdadullah , Hossain Md Nahin 
Published: April 2024

PurposeThe global emphasis on sustainability is driving organizations to embrace financial technology (Fintech) solutions as a means of enhancing their sustainable performance. This study seeks to unveil the intermediary role played by green finance and competitiveness, along with the moderating impact of digital transformation (DT), in the intricate relationship between Fintech adoption and sustainable performance.Design/methodology/approachDrawing on existing literature, we construct a comprehensive conceptual framework to thoroughly analyse these interconnected variables. To empirical validate of our model, a dual structural equation modelling–artificial neural network) SEM–ANN approach was employed, adding a robust layer of validation to our study’s proposed framework. A sample of 438 banking employees in Pakistan was collected using a simple random sampling technique, with 411 samples deemed suitable for subsequent analysis. Initially, data scrutiny and hypothesis testing were carried out using Smart-PLS 4.0 and SPSS-23. Subsequently, the ANN technique was utilized to assess the importance of exogenous factors in forecasting endogenous factors.FindingsThe findings from this research underscore the direct and significant influence of Fintech adoption and DT on the sustainable performance of banks. Notably, green finance and competitiveness emerge as pivotal mediators, bridging the gap between Fintech adoption and sustainable performance. Moreover, DT emerges as a critical moderator, shaping the relationships between Fintech adoption and both green finance and competitiveness. The integration of the ANN approach enhances the SEM analysis, providing deeper insights and a more comprehensive understanding of the subject matter.Originality/valueThis study contributes to the enhanced comprehension of Fintech, green finance, competitiveness, DT and the sustainable performance of banks. Recognizing the importance of amalgamating Fintech adoption, green finance and transformational leadership becomes essential for elevating the sustainable performance of banks. The insights garnered from this study hold valuable implications for policymakers, practitioners and scholars aiming to enhance the sustainable performance of banks within the competitive business landscape.
Improving emergency evacuation capacity for subway stations based on agent-based modelling
Authors: Shi Xiaobo , Qiao Yaning , Zhao Xinyu , Liu Yan , Liu Chenchen , Huang Ruopeng , Cui Yuanlong 
Published: April 2024

Purpose
Modern subway transportation systems need to satisfy increasing safety demands to rapidly evacuate passengers under hazardous emergency circumstances, such as fires, accidents or terrorist attacks, to reduce passenger injuries or life losses. The emergency evacuation capacity (EEC) of a subway station needs to be revised timely, in case passenger demand increases or the evacuation route changes in the future. However, traditional ways of estimating EEC, e.g. fire drills are time- and resource-consuming and are difficult to revise from time to time. The purpose of this study is to establish an intuitive modelling approach to increase the EEC of subway stations in a stepwised manner.

Design/methodology/approach
This study develops an approach to combine agent-based evacuation modelling and building information modelling (BIM) technology to estimate the total evacuation time of a subway station.

Findings
Evacuation time can be saved (33% in the studied case) from iterative improvements including stopping escalators running against the evacuation flow and modifying the geometry around escalator exits. Such iterative improvements rely on integrating agent-based modelling and BIM.

Originality/value
The agent-based model can provide a more realistic simulation of intelligent individual movements under emergency circumstances and provides precise feedback on locations of evacuation bottlenecks. This study also examined the effectiveness of two rounds of stepwise improvements in terms of operation or design to increase the EEC of the station.
Exploring the relationship between student green engagement and entrepreneurial behavior: a serial mediation approach
Authors: Chatterjee Rajat Subhra , Khan Naveed R. , Hameed Irfan , Waris Idrees 
Published: April 2024

Purpose
This study aims to emphasize the youth community’s importance in sustaining green entrepreneurial efforts. The study used the stimulus organism response framework as the theoretical base using two separate studies.

Design/methodology/approach
Study 1 commences the development of the student green engagement construct through a focus group, panel discussion and exploratory factor analysis, which supported five items. Study 2 measures the relationship of student green engagement with green entrepreneurial intention by mediating university entrepreneurial support and entrepreneurial motivation. Data from 448 students were gathered from five Malaysian private institutions using a purposive sampling technique.

Findings
Findings indicate a robust association of student green engagement (stimuli) with green entrepreneurial intention (organism). Furthermore, mediation analysis shows strong mediating effects of university entrepreneurial support and entrepreneurial motivation on green entrepreneurship behavior (response).

Originality/value
The study’s findings can help the universities and concerned governmental departments instill a sense of sustainable entrepreneurship in university students.
Tracing the origins of manipulation: modeling the enablers behind dark patterns usage in e-commerce through TISM and MICMAC analysis
Authors: Singh Vibhav , Vishvakarma Niraj Kumar , Kumar Vinod 
Published: April 2024

PurposeE-commerce companies often manipulate customer decisions through dark patterns to meet their interests. Therefore, this study aims to identify, model and rank the enablers behind dark patterns usage in e-commerce companies.Design/methodology/approachDark pattern enablers were identified from existing literature and validated by industry experts. Total interpretive structural modeling (TISM) was used to model the enablers. In addition, “matriced impacts croisés multiplication appliquée á un classement” (MICMAC) analysis categorized and ranked the enablers into four groups.FindingsPartial human command over cognitive biases, fighting market competition and partial human command over emotional triggers were ranked as the most influential enablers of dark patterns in e-commerce companies. At the same time, meeting long-term economic goals was identified as the most challenging enabler of dark patterns, which has the lowest dependency and impact over the other enablers.Research limitations/implicationsTISM results are reliant on the opinion of industry experts. Therefore, alternative statistical approaches could be used for validation.Practical implicationsThe insights of this study could be used by business managers to eliminate dark patterns from their platforms and meet the motivations of the enablers of dark patterns with alternate strategies. Furthermore, this research would aid legal agencies and online communities in developing methods to combat dark patterns.Originality/valueAlthough a few studies have developed taxonomies and classified dark patterns, to the best of the authors’ knowledge, no study has identified the enablers behind the use of dark patterns by e-commerce organizations. The study further models the enablers and explains the mutual relationships.
Researchers and social networking sites usage: the application of UTAUT theory
Authors: Al Badi Aaisha , Rasmussen McAdie Diane 
Published: April 2024

PurposeThis study aims to investigate the use of social networking sites (SNS) by researchers and their behaviours when conducting research-related activities by applying the unified theory of acceptance and use of technology (UTAUT) theory.Design/methodology/approachAn online survey was distributed. This study’s design is derived from the UTAUT framework’s questionnaire items. The sample of this study comprised 216 respondents from 40 universities in the United Kingdom. Descriptive statistics were used to analyse the data.FindingsRespondents revealed a positive relationship between the four constructs of the UTAUT framework (performance expectancy, effort expectancy, social influence and facilitating condition) associated with their intention to use SNS.Research limitations/implicationsMost of the respondents were from the University of Strathclyde, so the authors cannot generalize the findings to other universities.Practical implicationsThe findings will offer an extensive understanding of the value of SNSs, which will aid researchers to increase their visibility, and research activities online.Originality/valueThe results will provide an in-depth knowledge of the importance of SNSs, helping scholars to become more visible and engage in online research. A number of factors impacted how researchers behaved on SNSs and what they intended to use for research-related activity. School administrators, experts and other sponsors could take action to promote the use of SNSs in educational settings based on the findings. The study’s findings offer insightful knowledge to those who create SNS websites. By using this information, they will be able to improve these sites for research and study and gain a better understanding of the demands of SNS users.
Resilient and agile employees’ pursuit of innovative performance and well-being: the role of job crafting
Authors: Panda Prerna , Singh Pankaj 
Published: April 2024

PurposeThis study aims to examine the association of employee resilience and agility with innovative performance and subjective well-being. Moreover, it tests job crafting as the underlying mechanism through which resilient and agile employees perform innovatively and experience higher subjective well-being.Design/methodology/approachThe study used a survey-based research design and structural equation modeling technique to examine the proposed hypotheses. Data was collected from a sample of 380 employees working in the Indian information technology sector using survey questionnaires.FindingsThe results show that highly resilient and agile employees participate in job crafting that positively influences their innovative performance and subjective well-being. Job crafting fully mediates the association of resilience with work and well-being outcomes and partially mediates agility and outcomes.Practical implicationsThere is a value in promoting the development of employee resilience and agility to foster ways in which employees can craft their jobs and, thus, maximize their innovative performance and subjective well-being.Originality/valueThis study makes an important contribution by underscoring the importance of personal resources (resilience and agility) as drivers of job crafting for higher innovative performance and subjective well-being.
The paradox of immersive artificial intelligence (AI) in luxury hospitality: how immersive AI shapes consumer differentiation and luxury value
Authors: Gonçalves Ana Rita , Costa Pinto Diego , Shuqair Saleh , Mattila Anna , Imanbay Anel 
Published: April 2024

Purpose
This paper aims to bridge the extended reality framework and the luxury hospitality literature by providing insights into how immersive technologies using artificial intelligence (AI) can shape luxury value and consumer differentiation.

Design/methodology/approach
The authors conducted three experimental studies comparing immersive AI versus traditional hospitality across luxury contexts (hotels, restaurants and spas). Study 1 investigates the effect of immersive AI (vs traditional hospitality) on customers’ behavioral intentions and the need for differentiation using virtual-assisted reality. Study 2 tests the underlying mechanism of the need for differentiation and luxury value in an augmented reality context. Study 3 provides additional support for the proposed underlying mechanism using virtual-assisted reality in luxury hospitality.

Findings
The findings reveal that immersive AI (vs traditional) luxury hospitality reduces customers’ behavioral intentions of using such services and perceived luxury value. Moreover, the findings indicate that the intention to use immersive AI (vs traditional) luxury hospitality services is contingent upon customers’ need for differentiation.

Originality/value
The findings have important theoretical and managerial implications for immersive technologies in luxury hospitality. They shed light on the dynamics between integrating immersive AI into luxury hospitality and its impact on customers’ differentiation motives and perceived luxury value. The findings reveal the detrimental effect of using immersive AI (vs traditional hospitality) within this context.
Selling by contributing: the monetization strategy of individual content providers in the light of human brand
Authors: Zhou Sha , Su Yaqin , Shahzad Muhammad Aamir , Liu Zhengchi 
Published: April 2024

PurposeThe integration of social media and e-commerce has resulted in a rising phenomenon among individual content providers (ICPs), who used to offer free content, to provide consumers with paid content, such as online courses, Q&As or consultations. Despite the prevalence of ICPs’ content monetization, empirical research has rarely studied its underlying mechanism. This paper examines how the characteristics of free content contributed by ICPs on social media platforms influence their paid content sales, focusing on the perspective of human brand.Design/methodology/approachThe empirical setting is an online knowledge exchange platform, where users are allowed to provide free content (e.g. answers) on the social media platform and launch paid content (e.g. lectures) on the e-commerce platform. A machine learning technique is employed to construct measures for the characteristics of free content, and fixed-effects estimation is presented to confirm which factors have a significant influence on the sales of paid content.FindingsThe empirical results show that the quality, diversity and expertness of free content have a significant positive impact on the sales of the ICP-paid content, with the brand popularity of ICP playing a mediating role.Originality/valueThis study is the first attempt to demystify the relationship between content contribution and ICPs’ content monetization from the perspective of human brand. The findings validate the effectiveness of the “Selling by Contribution” strategy and provide valuable insights for ICPs and social media platforms.
Driving factors behind mobile payment app users’ continuance intention: insights for service providers in Malaysia
Authors: Chaw Lee Yen , Tang Chun Meng , Ali Muhammad 
Published: April 2024

Purpose
As the competition to retain current and attract new mobile payment app users intensifies, meeting users’ needs has become fundamental for mobile payment app service providers to stay competitive. This study aims to investigate the relationship between users’ needs, users’ attitude towards mobile payment apps and users’ continuance intention to use mobile payment apps.

Design/methodology/approach
Following an exploratory sequential mixed methods research design, this study first conducted three focus groups in the qualitative phase to investigate issues or concerns faced by current users of mobile payment apps. The study then conducted an online questionnaire survey in the quantitative phase to collect responses from users of mobile payment apps. Partial least squares structural equation modelling was used to analyse 110 valid responses.

Findings
Findings show that usefulness (modelled as a second-order reflective construct consisting of three first-order reflective constructs, i.e. ease of use, acceptability and responsiveness), traceability and security had a statistically significant relationship with attitude towards mobile payment apps (which in turn had a statistically significant relationship with continuance intention to use mobile payment apps). It was also found that attitude towards mobile payment mediated the relationships between usefulness, traceability and security; and continuance intention to use mobile payment apps.

Practical implications
The findings of this study can help mobile payment app service providers and developers design apps that offer the functions and features that their users need.

Originality/value
Although some recent studies have investigated the adoption of mobile payments in the Malaysian context, few of these studies examined current users’ continuance intention to use mobile payment apps.
The preparation and wettability of the Sn-9Zn-2.5Bi-1.5In solder paste for SMT process and high shear ball performance
Authors: Li Bingyi , Qu Songtao , Zhang Gong 
Published: April 2024

Purpose
This study aims to focus on the surface mount technology (SMT) mass production process of Sn-9Zn-2.5Bi-1.5In solder. It explores it with some components that will provide theoretical support for the industrial SMT application of Sn-Zn solder.

Design/methodology/approach
This study evaluates the properties of solder pastes and selects a more appropriate reflow parameter by comparing the microstructure of solder joints with different reflow soldering profile parameters. The aim is to provide an economical and reliable process for SMT production in the industry.

Findings
Solder paste wettability and solder ball testing in a nitrogen environment with an oxygen content of 3,000 ppm meet the requirements of industrial production. The printing performance of the solder paste is good and can achieve a printing rate of 100–160 mm/s. When soldering with a traditional stepped reflow soldering profile, air bubbles are generated on the surface of the solder joint, and there are many voids and defects in the solder joint. A linear reflow soldering profile reduces the residence time below the melting point of the solder paste (approximately 110 s). This reduces the time the zinc is oxidized, reducing solder joint defects. The joint strength of tin-zinc joints soldered with the optimized reflow parameters is close to that of Sn-58Bi and SAC305, with high joint strength.

Originality/value
This study attempts to industrialize the application of Sn-Zn solder and solves the problem that Sn-Zn solder paste is prone to be oxidized in the application and obtains the SMT process parameters suitable for Sn-9Zn-2.5Bi-1.5In solder.
Audience engagement in outrage factors embedded in COVID‐19 news: A content analysis of South Korean news articles and reader comments
Authors: Ju Youngkee 
Published: April 2024

AbstractThe risk perception of lay people is believed to be guided by qualitative characteristics of risk they perceive. Outrage factors refer to perceived characteristics of risk that arouse emotional responses and thereby influence risk perception. Conducting a content analysis of coronavirus disease 2019 online news coverage, we identified outrage factors embedded in news stories to determine how those factors are associated with audience engagement, measured by counting news consumer comments and clicks on emotional expressions on each news story. As a result, the average outrage score for a news story was significantly associated with the number of clicks on emotional expressions and comments. When it comes to individual outrage factors, a news story covering a case of violation against social distancing or other governmental guidelines was found to be accompanied by more comments and more emotional expressions, indicating the strongest power of moral nature. The outrage factor of voluntariness, human origin, accident history and controllability were also associated with one or both types of the audience responses. The news stories of business owners who involuntarily shut down their businesses or those comparing the current pandemic to Middle East respiratory syndrome that broke out in 2015 in the nation showed a similar pattern of audience engagement. Furthermore, liberal media were more likely to convey outrage factors than media with a less liberal orientation, which was manifested in the outrage score for each story. We discuss the potential of outrage factors as a new content‐based factor for audience engagement in online risk communication.