bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimentally EvolvedStaphylococcus aureusSurvives in the Presence ofPseudomonas aeruginosaby Acquiring Mutations in the Amino Acid Transporter, GltT
Authors: Alexander Ashley M. , Luu Justin M. , Raghuram Vishnu , Bottacin Giulia , van Vliet Simon , Read Timothy D. , Goldberg Joanna B. 
Published: July 2023

AbstractStaphylococcus aureusandPseudomonas aeruginosaare the most common bacterial pathogens isolated from cystic fibrosis (CF) related lung infections. When both of these opportunistic pathogens are found in a coinfection, CF patients tend to have higher rates of pulmonary exacerbations and experience a more rapid decrease in lung function. When cultured together under standard laboratory conditions, it is often observed thatP. aeruginosaeffectively inhibitsS. aureusgrowth. Previous work from our group revealed thatS. aureusfrom CF infections have isolate-specific survival capabilities when cocultured withP. aeruginosa. In this study, we designed a serial transfer evolution experiment to identify mutations that allowS. aureusto adapt to the presence ofP. aeruginosa. UsingS. aureusUSA300 JE2 as our ancestral strain, populations ofS. aureuswere repeatedly cocultured with freshP. aeruginosastrain, PAO1. After 8 coculture periods,S. aureuspopulations that survived better in the presence of PAO1 were observed. We found two independent mutations in the highly conservedS. aureusaspartate transporter,gltT, that were unique to evolvedP. aeruginosa-tolerant isolates. Subsequent phenotypic testing demonstrated thatgltTmutants have reduced uptake of glutamate and outcompete wild-typeS. aureuswhen glutamate is absent from chemically-defined media. These findings together demonstrate that the presence ofP. aeruginosaexerts selective pressure onS. aureusto alter its uptake and metabolism of key amino acids when the two bacteria are cultured together.ImportanceStaphylococcus aureusandPseudomonas aeruginosaare the two most common bacterial pathogens that infect people with the genetic disease, cystic fibrosis (CF). They are often found together in CF-associated polymicrobial infections that are associated with worse patient prognosis. Understanding how these very different opportunistic pathogens influence each other in a shared environment is pertinent to improving the treatment of polymicrobial infections. While much attention has been brought to the interspecific interactions betweenS. aureusandP. aeruginosa,few studies have used experimental evolution methods to identify determinants of their competition and coexistence. Here, we use a serial transfer experimental evolution approach and identified a single genetic change associated with improved survival ofS. aureusin the presence ofP. aeruginosa.Our findings implicate metabolism of shared resources as an important factor inS. aureus’sability to survive in the presence ofP. aeruginosa.
A multi-level perspective of the value congruence mechanisms underlying transformational leadership and cooperative voice
Authors: Li Jun (Justin) , Liu Xiaoming , Houghton Jeffery D. , Li Li , Zou WenChi 
Published: July 2023

PurposeTransformational leadership (TFL) has been identified by a number of studies as a positive force for business success. However, few studies have explicitly examined its influence on the cooperative employment relationship, such as frontline employees' voice in the workplace. Thus, this study conducts an empirical analysis of dual-level (i.e. group-focused and individual-focused) TFL and its effect on frontline employees' cooperative voice.Design/methodology/approachThis empirical study is based on data from a survey of 468 full-time frontline workers from 38 hotels in China.FindingsThe empirical results revealed that both individual-level and group-level TFL are significantly associated with frontline employees' cooperative voice. Person–Organization value congruence and Person–Supervisor value congruence both act as mediators in the linkage between group-level TFL and employees' cooperative voice behaviors. The partial mediating role of Demand–Ability congruence on the relationship between individual-level TFL and cooperative voice is also established.Originality/valueFirst, this study investigates the dual-level effects of TFL on the cooperative voice behavior of frontline employees. Second, this study explores whether three dimensions of value congruence mediate the influence of TFL on the voice behaviors of employees.
The moderating effect of knowledge-sharing on learning organisation and quality improvement practices
Authors: Hijazi Rawa 
Published: July 2023

PurposeThe aim of this research is to determine the impact of a learning organisation (LO) on developing quality improvement practices (QIPs) and to propose knowledge-sharing (KS) as a moderator which is anticipated to support the beneficial effect of a LO on QIP. A further objective is to establish whether training provision raises the abilities of healthcare organisations (HCOs) to attain greater standards of QIP via a LO and KS.Design/methodology/approachA total of 240 responses, obtained from employees working at private HCOs in Jordan, comprised the valid dataset. Structural equation modeling (SEM) was utilised for data analysis. Multigroup analysis (MGA) was performed to compare the impact of workers who had or had not undergone training.FindingsThe findings indicated that QIP was significantly enhanced by LO. HCOs with the objective of converting a KS-moderated LO could attain improved QIP standards, but within the surveyed establishments, this effect was only appreciated at modest degrees. By performing MGA, no variations were identified in the impact of workers.Practical implicationsManagers should place more emphasis on training and learning within HCOs. However, respondents did indicate that their establishments had notable degrees of KS, suggesting a potential strength that could be used positively by the managerial hierarchy.Originality/valueThis study encompasses an original contribution to contemporary scholarship in the field of knowledge management and quality through its examination of the moderating effect of KS on LO and QIP.
Examining a two-step working model of safety knowledge in translating safety climate into safety behavior
Authors: Ashraf Hassan , Ejaz Mir Kiannat , Memon Shoeb Ahmed , Shen Yuzhong , Maqsoom Ahsen , Sunindijo Riza Yosia 
Published: July 2023

PurposeGiven a baffling contradiction that the availability of safety knowledge may not necessarily lead to workers' safety behavior, this study aims to develop an exploratory two-step working model of safety knowledge in translating safety climate into safety behavior. In particular, this study highlights the importance of articulating tacit safety knowledge and improving workers' systematic problem solving (SPS) capacity in a favorable safety climate.Design/methodology/approachThis study uses 110 valid responses from Pakistan-based construction workers to test five hypotheses which embody the exploratory two-step working model of safety knowledge. The partial least squares structural equation modeling (PLS-SEM) is used to analyze the data.FindingsThe results of this study support the two-step working mechanism of safety knowledge in translating safety climate into safety behavior. Furthermore, results suggest that safety climate as a job resource facilitates converting construction workers' tacit safety knowledge into explicit safety knowledge (i.e. safety knowledge articulation) and then enabling them to spot non-conformities in safety management practices (i.e. SPS) and consequently to work safely (i.e. safety behavior).Originality/valueThe study has both theoretical and practical significance. In theory, it extends organizational learning theory and job demands-resources (JD-R) theory in the construction safety research domain and elaborates on the mediating role of safety knowledge articulation and SPS for the relationship between safety climate and safety behavior. In practice, it highlights the importance of continuous articulation of tacit safety knowledge and accumulation and use of explicit safety knowledge in construction safety management practices.
International relationship management during social distancing: the role of AI-integrated social CRM by MNEs during the Covid-19 pandemic
Authors: Chatterjee Sheshadri , Chaudhuri Ranjan , Thrassou Alkis , Vrontis Demetris 
Published: July 2023

PurposeThe research empirically examines the role of artificial intelligence (AI) integrated with social customer relationship management (SCRM) in multinational enterprises (MNEs) towards international relationship management under social distancing conditions due to the COVID-19 pandemic.Design/methodology/approachThe study initially undertakes pertinently focused theoretical research in the fields of international marketing, knowledge management, and customer relationship management. And, utilizing the theories of resource-based view (RBV) and dynamic capability view (DCV) theory, the study develops a theoretical model that is subsequently empirically validated through a survey and structural equation modeling.FindingsThe study highlights the importance and means of adopting AI-integrated social CRM by MNEs, in the context of international relationship management, under the Covid-19 social distancing conditions. The study more specifically elucidates the role and significance of MNE leadership approach and support towards the adoption of AI-integrated social CRM systems and, ultimately, performance improvement of MNEs under such conditions.Research limitations/implicationsThe study presents insights and prescriptive explications on a topic at the heart of state-of the-art technology-based international marketing in the explicit context of the primary business-defining environment of the Covid-19 pandemic. The research provides practicable suggestions to MNEs' leadership towards the adoption of an AI-integrated social CRM system. And the study presents a unique model for international relationship management under social distancing conditions, potentially applicable during other crises.Originality/valueThe research is original and on a ‘fresh’ topic that combines the latest technological advancements in business (AI-integrated CRM) with the present critical business context (pandemic). The research develops a tested theoretical model that (a) is unique in its field; (b) provides a solid foundation for further research; (c) bears generic value and application during other-than-Covid-19 conditions; and (d) enhances the understanding of important fields of international marketing, including international customer relationship management and global knowledge management.
Examining technostress and its impact on worker well-being in the digital gig economy
Authors: Umair Azka , Conboy Kieran , Whelan Eoin 
Published: July 2023

PurposeOnline labour markets (OLMs) have recently become a widespread phenomenon of digital work. While the implications of OLMs on worker well-being are hotly debated, little empirical research examines the impact of such work on individuals. The highly competitive and fast-paced nature of OLMs compels workers to multitask and to perform intense technology-enabled work, which can potentially enhance technostress. This paper examines the antecedents and well-being consequences of technostress arising from work in OLMs.Design/methodology/approachThe authors draw from person–environment fit theory and job characteristics theory and test a research model of the antecedents and consequences of worker technostress in OLMs. Data were gathered from 366 workers in a popular OLM through a large-scale online survey. Structural equation modelling was used to evaluate the research model.FindingsThe findings extend existing research by validating the relationships between specific OLM characteristics and strain. Contrary to previous literature, the results indicate a link between technology complexity and work overload in OLMs. Furthermore, in OLMs, feedback is positively associated with work overload and job insecurity, while strain directly influences workers' negative affective well-being and discontinuous intention.Originality/valueThis study contributes to technostress literature by developing and testing a research model relevant to a new form of work conducted through OLMs. The authors expand the current research on technostress by integrating job characteristics as new antecedents to technostress and demonstrating its impact on different types of subjective well-being and discontinuous intention. In addition, while examining the impact of technostressors on outcomes, the authors consider their impact at the individual level (disaggregated approach) to capture the subtlety involved in understanding technostressors' unique relationships with outcomes.
An analysis of citing and referencing habits across all scholarly disciplines: approaches and trends in bibliographic referencing and citing practices
Authors: Santos Erika Alves dos , Peroni Silvio , Mucheroni Marcos Luiz 
Published: July 2023

PurposeIn this study, the authors want to identify current possible causes for citing and referencing errors in scholarly literature to compare if something changed from the snapshot provided by Sweetland in his 1989 paper.Design/methodology/approachThe authors analysed reference elements, i.e. bibliographic references, mentions, quotations and respective in-text reference pointers, from 729 articles published in 147 journals across the 27 subject areas.FindingsThe outcomes of the analysis pointed out that bibliographic errors have been perpetuated for decades and that their possible causes have increased, despite the encouraged use of technological facilities, i.e. the reference managers.Originality/valueAs far as the authors know, the study is the best recent available analysis of errors in referencing and citing practices in the literature since Sweetland (1989).
Bank stability and digitalisation: empirical evidence from selected Indian banks
Authors: Puri Vaibhav , Kaur Gurleen , Kalra Jappanjyot Kaur , Gill Kawal 
Published: July 2023

Purpose India’s efforts to achieve large-scale financial inclusion are challenged by growing concerns related to the stability and profitability of the overall banking system. Although a rising dependence on digital finance and the acceptability of wallet-based payments was also visible during the post-demonetisation era and the coronavirus disease 2019 (Covid-19) pandemic, issues related to bank stability and profitability could be addressed through the extension of digital financial services (DFS), making the system more transparent and resilient to internal as well as external perturbations.Design/methodology/approach The study provides empirical evidence to support the bank digitalisation and extension of DFS to achieve financial inclusion. The impact of digital finance, macroeconomic aspects and microprudential factors (bank specific) on stability is examined for selected Indian banks using quarterly observations spanning 2011Q1–2020Q4. The relationship between banking stability (measured through z-score and Sharpe ratio) is established with digitalisation factors using the instrumental variable regression two-stage least square -based panel regression. Robustness is tested using panel vector autoregression models.Findings Digital transactions including mobile banking, National Electronic Fund Transfer (NEFT) and Real Time Gross Settlement (RTGS) prove vital and significant in establishing stable banking activity in the Indian context across both public and private banking institutions. Access to broadband services provides a positive impetus in this direction. These issues could be addressed through the extension of DFS making the system more transparent and resilient to internal as well as external perturbations. As an implication, the adoption of innovative means of transaction could empower the financially excluded sections of society.Originality/value The novelty of this study is to bring the discussion of digitalisation and bank stability (riskiness) in the Indian context to light. As the first of its kind, this study paves the way for providing an empirical justification for promoting and achieving bank stability through digitalisation in the era of post-demonetisation and Covid-19.
Research hotspots, trends and opportunities on the metaverse in health education: a bibliometric analysis
Authors: Agac Gokhan , Sevim Ferit , Celik Omer , Bostan Sedat , Erdem Ramazan , Yalcin Yusuf Ileri 
Published: July 2023

PurposeThe metaverse offers great potential for creating a new educational environment with unique experiences. Currently, it has been integrated into many stages of education, including classroom study aids, clinical skill interaction and image training simulators, thanks to a new generation of Internet applications. This paper aims to provide a comprehensive systematic review using bibliometric analysis on the metaverse in health education and analyze the trends and patterns of research output within the field.Design/methodology/approachThe paper conducts bibliometric analysis and follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure a rigorous and transparent review process. Specifically, this article identifies research questions, develops a data-collection strategy and establishes a screening approach that includes determining relevant keywords and applying inclusion and exclusion criteria.FindingsA bibliometric analysis is conducted comprising 231 studies from 145 scientific journals to assess the trends, patterns and collaboration networks in research on the use of metaverse technology in health education. This paper provides insights into the research themes, publication trends and countries leading in this field, which can guide future research in this field.Originality/valueThe use of metaverse technology in health education has gained momentum in recent years. Despite this interest, comprehensive studies to review and analyze the existing literature on this topic systematically are lacking. In response, this paper provides a systematic review that explores the potential role of the metaverse in health education. By considering the current research, key trends, research hotspots and opportunities for future investigations are identified. The findings not only shed light on the current state of research but also offer guidance for advancing this exciting field.
Mitogenome‐based phylogeny of mosquitoes (Diptera: Culicidae)
Authors: Chen De‐Hong , He Shu‐Lin , Fu Wen‐Bo , Yan Zhen‐Tian , Hu Yun‐Jian , Yuan Huan , Wang Ming‐Bin , Chen Bin 
Published: July 2023

AbstractMosquitoes are of great medical significance as vectors of many deadly diseases. Mitogenomes have been widely used in phylogenetic studies, but mitogenome knowledge within the family Culicidae is limited, and Culicidae phylogeny is far from resolved. In this study, we surveyed the mitogenomes of 149 Culicidae species, including 7 newly sequenced species. Comparative analysis of 149 mosquito mitogenomes shows gene composition and order to be identical to that of an ancestral insect, and the AT bias, length variation, and codon usage are all consistent with that of other reported Dipteran mitogenomes. Phylogenetic analyses based on the DNA sequences of the 13 protein‐coding genes from the 149 species robustly support the monophyly of the subfamily Anophelinae and the tribes Aedini, Culicini, Mansoniini, Sabethini, and Toxorhynchitini. To resolve ambiguous relationships between clades within the subfamily Culicinae, we performed topological tests and show that Aedini is a sister to Culicini and that Uranotaeniini is a sister to (Mansoniini + (Toxorhynchitini + Sabethini)). In addition, we estimated divergence times using a Bayesian relaxation clock based on the sequence data and 3 fossil calibration points. The results show mosquitoes diverged during the Early Jurassic with massive Culicinae radiations during the Cretaceous, coincident with the emergence of angiosperms and the burst of mammals and birds. Overall, this study, which uses the largest number of Culicidae mitogenomes sequenced to date, comprehensively reveals the mitogenome characteristics and mitogenome‐based phylogeny and divergence times of Culicidae, providing information for further studies on the mitogenome, phylogeny, evolution, and taxonomic revision of Culicidae.
Comprehensive DNA barcode reference library and optimization of genetic divergence threshold facilitate the exploration of species diversity of green lacewings (Neuroptera: Chrysopidae)
Authors: Lai Yan , Li Kaiyu , Liu Xingyue 
Published: July 2023

AbstractChrysopidae are a family of Neuroptera of significant importance in biocontrol against agricultural pests because of their predatory larvae. Currently, the taxonomy of Chrysopidae lacks a comprehensive revision, which impedes the exploration of species diversity as well as the selection and the conservation of green lacewings as biocontrol agents. We have established a DNA barcode reference library of the Chinese green lacewings based on an approximately complete sampling (95.63%) in 25 of the 34 provincial regions in China, comprising 1 119 barcodes of 25 genera and 197 species (representing 85% genera and 43.62% species from China). Combining other 1 049 high quality green lacewing DNA barcodes, we first inferred the optimal threshold of interspecific genetic divergence (1.87%) for successful species identification in multiple simulated scenarios based on present data. We further inferred the threshold of genetic divergence (7.77%) among genera with biocontrol significance. The inference and performance of the threshold appears to be mainly associated with the completeness of sampling, the proportion of closely related species, and the analytical approaches. Six new combinations, Apertochrysa platypa (Yang & Yang, 1991) comb. nov., Apertochrysa shennongana (Yang & Wang, 1990) comb. nov., Apertochrysa pictifacialis (Yang, 1988) comb. nov., Apertochrysa helana (Yang, 1993) comb. nov., Plesiochrysa rosulata (Yang & Yang, 2002) comb. nov., and Signochrysa hainana (Yang & Yang, 1991), are proposed according to integrative species delimitation. Our library and optimal threshold will effectively facilitate the exploration of species diversity of green lacewings. Our study also provides a methodological reference in molecular delimitation of other insects.
China's 5G and supercomputing industrial policies: A critical (comparative) analysis
Authors: Zhang Yuhan 
Published: July 2023

AbstractThe Chinese central government has greatly supported two strategic high‐tech industries: 5G and supercomputing. However, when both encountered similar U.S. sanctions, the 5G industry failed to make crucial upstream components while the supercomputing industry could. This article argues that the central government‐level industrial policies contributed to these divergent outcomes. Using natural language processing and qualitative content analysis of meticulously collected official documents and secondary sources, key policy differences were identified. Before the U.S. sanctions in May 2019, China's 5G industrial policies were significantly unbalanced, with inadequate attention given to research and development of vital upstream components, contributing to a lack of upstream investment. Although recent attempts to rebalance 5G industrial development since 2021, the policy focus remains largely on the mid and downstream segments. In contrast, before the U.S. sanctions in 2015, the supercomputing industrial policies emphasised the development of the entire industrial chain, including crucial upstream components, resulting in China's possession of entirely homegrown supercomputers. Leveraging a tri‐level analysis framework rooted in political economics, this study also offers possible explanations for the policy divergence and discusses implications. It contributes to the existing literature and ongoing debate on China and industrial policy amidst great power high‐tech competition.