bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of RT-RPA-based point-of-care tests for epidemic arthritogenic alphaviruses
Authors: Sridhar Sainetra , Tonto Prince Baffour , Lumkong Lily , Netto Eduardo Martins , Brites Carlos , Wang Wei-Kung , Herrera Bobby Brooke 
Published: May 2024

AbstractChikungunya (CHIKV), o’nyong-nyong (ONNV), and Mayaro (MAYV) viruses are transmitted by mosquitoes and known to cause a debilitating arthritogenic syndrome. These alphaviruses have emerged and re-emerged, leading to outbreaks in tropical and subtropical regions of Asia, South America, and Africa. Despite their prevalence, there persists a critical gap in the availability of sensitive and virus-specific point-of-care (POC) diagnostics. Traditional immunoglobulin-based tests such as enzyme-linked immunosorbent assay (ELISAs) often yield cross-reactive results due to the close genetic relationship between these viruses. Molecular diagnostics such as quantitative polymerase chain reaction (qPCR) offer high sensitivity but are limited by the need for specialized laboratory equipment. Recombinase polymerase amplification (RPA), an isothermal amplification method, is a promising alternative to qPCR, providing rapid results with minimal equipment requirements. Here, we report the development and validation of three virus-specific RPA-based POC tests for CHIKV, ONNV, and MAYV. These tests demonstrated both speed and sensitivity, capable of detecting 10 viral copies within 20 minutes of amplification, without exhibiting cross-reactivity. Furthermore, we evaluated the clinical potential of these tests using serum and tissue samples from CHIKV, ONNV, and MAYV-infected mice, as well as CHIKV-infected human patients. We demonstrate that the RPA amplicons derived from the patient samples can be sequenced, enabling cost-effective molecular epidemiological studies. Our findings highlight the significance of these rapid and specific POC diagnostics in improving the early detection and management of these arboviral infections.
Single-nuclei sequencing of skeletal muscle reveals subsynaptic-specific transcripts involved in neuromuscular junction maintenance
Authors: Ham Alexander S. , Lin Shuo , Tse Alice , Thürkauf Marco , Oliveri Filippo , Rüegg Markus A. 
Published: May 2024

AbstractThe neuromuscular junction (NMJ) is the synapse formed between motor neurons and skeletal muscle fibers. Its stability relies on the continued expression of genes in a subset of myonuclei, called NMJ myonuclei. Here, we use single-nuclei RNA-sequencing (snRNA-seq) to identify numerous undescribed NMJ-specific transcripts. To elucidate how the NMJ transcriptome is regulated, we also performed snRNA-seq on sciatic nerve transected, botulinum toxin injected andMuskknockout muscles. These data show that NMJ gene expression is not only driven by agrin-Lrp4/MuSK signaling, but is also affected by electrical activity and trophic factors other than agrin. By selecting three previously undescribed NMJ genesEtv4,Lrtm1andPdzrn4, we further characterize novel contributors to NMJ stability and function. AAV-mediated overexpression and AAV-CRISPR/Cas9-mediated knockout show thatEtv4is sufficient to upregulate expression of ∼50% of the NMJ genes in non-synaptic myonuclei, while muscle-specific knockout ofPdzrn4induces NMJ fragmentation. Further investigation ofPdzrn4revealed that it localizes to the Golgi apparatus and interacts with MuSK protein. Collectively, our data provide a rich resource of NMJ transcripts, highlight the importance of ETS transcription factors at the NMJ and suggest a novel pathway for NMJ post-translational modifications.
Statistics of Extreme Events in Integrable Turbulence
Authors: Congy T. , El G. A. , Roberti G. , Tovbis A. , Randoux S. , Suret P. 
Published: May 2024

We use the spectral kinetic theory of soliton gas to investigate the likelihood of extreme events in integrable turbulence described by the one-dimensional focusing nonlinear Schrödinger equation (fNLSE). This is done by invoking a stochastic interpretation of the inverse scattering transform for fNLSE and analytically evaluating the kurtosis of the emerging random nonlinear wave field in terms of the spectral density of states of the corresponding soliton gas. We then apply the general result to two fundamental scenarios of the generation of integrable turbulence: (i) the asymptotic development of the spontaneous modulational instability of a plane wave, and (ii) the long-time evolution of strongly nonlinear, partially coherent waves. In both cases, involving the bound state soliton gas dynamics, the analytically obtained values of the kurtosis are in perfect agreement with those inferred from direct numerical simulations of the fNLSE, providing the long-awaited theoretical explanation of the respective rogue wave statistics. Additionally, the evolution of a particular nonbound state gas is considered, providing important insights related to the validity of the so-called virial theorem.

Published by the American Physical Society
2024
Connections between specific mental health diagnoses of schizophrenia, bipolar disorder and schizoaffective disorder and primary substance use
Authors: Foster Gavin , Taylor David , Gough Stephanie 
Published: May 2024

Purpose
This study aims to use the database of consumers referred to the dual diagnosis shared care service to examine those connections. The Eastern Dual Diagnosis Service, based in Melbourne, Australia, has established a database of consumers with co-occurring mental health disorders and problematic substance use. An examination of mental health and substance-use information obtained over a two-year period in the delivery of dual diagnosis shared care to consumers of mental health services is supporting an improved understanding of substance use and the connections to specific mental health diagnoses of schizophrenia, bipolar disorder and schizoaffective disorder.

Design/methodology/approach
This research uses a quantitative approach to review the prevalence of primary substance use and mental health diagnoses for consumers referred to as dual diagnosis shared care. Reviewed are referrals from adult mental health community and rehabilitation teams operating within a mental health and well-being program between January 2019 and December 2020 inclusive.

Findings
Of the 387 clients referred to the specialist dual diagnosis shared care, methamphetamine, alcohol and cannabis are associated with 89.4% of the primary mental health diagnosis (PMHD). The most common PMHDs are schizophrenia, schizoaffective disorder and bipolar disorder. The most common PMHD and substance-use connection was schizophrenia and methamphetamine. Nicotine was reported to be used by 84% of consumers and often occurred in addition to another problematic primary substance.

Originality/value
Improved dual diagnosis data collection from a community-based clinical mental health service is increasing understanding of the mental health and substance-use relationship. This is now providing clarity on routes of investigation into co-occurring mental health and problematic substance-use trends and guiding improved integrated treatments within a contemporary mental health setting.
Uses and gratifications of metaverse: understanding the user adoption factors through a mixed method approach
Authors: Natarajan Thamaraiselvan , Pragha P. , Dhalmahapatra Krantiraditya 
Published: May 2024

PurposeTechnology 4.0 comes with a challenge to understand the degree of users’ willingness to adopt a digital transformation. Metaverse, being a digital transformation, enables real-world activities in the virtual environment, which attracts organizations to adopt the new fascinating technology. This paper thus explores the uses and gratification factors affecting user adoption and recommendation of metaverse from the management perspective.Design/methodology/approachThe study adopts a mixed approach where structural topic modeling is used to analyze tweets about the metaverse, and the themes uncovered from structural topic modeling were further analyzed through data collection using structural equation modeling.FindingsThe analyses revealed that social interaction, escapism, convenient navigability, and telepresence significantly affect adoption intent and recommendation to use metaverse, while the trendiness showed insignificance. In the metaverse, users can embody avatars or digital representations, users can express themselves, communicate nonverbally, and interact with others in a more natural and intuitive manner.Originality/valueThis paper contributes to research as it is the first of its kind to explore the factors affecting adoption intent and recommendation to use metaverse using Uses and Gratification theory in a mixed approach. Moreover, the authors performed a two-step study involving both qualitative and quantitative techniques, giving a new perspective to the metaverse-related study.
Interplay of mindfulness, psychological empowerment and ostracism: an empirical study in the university setting
Authors: Kumar Dinesh , Taherdoost Hamed , Kumar Sunil 
Published: May 2024

PurposeThe objective of this research is to examine the connections between mindfulness, psychological empowerment and the manifestation of ostracism in the workplace, particularly instigated ostracism, among university professors.Design/methodology/approachThe study relies on data from 746 professors from a renowned university located in northern India. The researchers utilized pre-established scales to measure latent variables, and a seven-point Likert scale for evaluation purposes. The data were analyzed using PLS-SEM.FindingsThe results indicate a positive correlation between mindfulness and psychological empowerment, explaining 42.20% of its variance. Additionally, a negative correlation between psychological empowerment and workplace ostracism is observed, accounting for 1.70% and 5.20% of their variances, respectively. These findings suggest associations but do not imply causality, highlighting the need for further research to explore these relationships.Research limitations/implicationsIts focus on university professors limits the study’s insights from a specific region, potentially affecting the findings' generalizability. Future research should encompass a broader demographic and geographic range to enhance the applicability and relevance of the results across diverse academic contexts.Practical implicationsThis study contributes to the existing literature by highlighting a correlation between mindfulness and perceived psychological empowerment among university professors. It also suggests a potential association between psychological empowerment and reduced perceptions of the workplace and instigated ostracism. These preliminary findings, while not indicative of causality, could inform future research and the development of policies promoting mindfulness and empowerment in academic environments.Originality/valueThis study examines the correlations between mindfulness, psychological empowerment and ostracism within academic settings. It uniquely highlights the positive correlation between mindfulness and psychological empowerment and how this relates to reduced perceptions of workplace ostracism among university faculty. These findings suggest that universities could enhance work environments by focusing on these areas, potentially enriching higher education management practices.
Examining the effects of international mindedness among prospective teachers on intercultural competence in higher education institutions: an empirical analysis
Authors: Malik Kamran Hyder , Jamil Hazri , Ismail Aziah , Rind Gul Muhammad , Bhutto Sobia 
Published: May 2024

PurposeThe purpose of this empirical study is to examine prospective teachers' international mindedness and intercultural competence, grounded in sociocultural theory. The research aims to understand the factors that foster these traits in prospective teachers and their significance in promoting competence in culturally diverse environments.Design/methodology/approachThe study utilized structured equation modeling with maximum likelihood estimation to analyze data from 425 participants of two higher education institutions. The participants were selected through simple random probability sampling. This methodology allowed the researchers to explore the relationship between international mindedness and intercultural competence in prospective teachers.FindingsThe results of the study demonstrated a positive correlation between international mindedness and intercultural competence in prospective teachers. The findings suggest that by cultivating international mindedness, educators can enhance their intercultural competence, thereby fostering more effective interactions in diverse settings.Practical implicationsThe present research holds practical implications for teacher education programs and higher education institutions. By understanding how international mindedness impacts intercultural competence, educators can implement targeted interventions and training to nurture these traits among prospective teachers. This can lead to the creation of culturally inclusive learning environments, promoting mutual respect and appreciation of diversity among students.Originality/valueThe originality of this study lies in its investigation of the link between international mindedness and intercultural competence in the context of prospective teachers enrolled in B.Ed. program in higher education institution. By establishing a causal relationship between these traits, the research adds to the understanding of how teachers can be prepared to engage effectively in culturally diverse classrooms. The findings hold value for educators and policymakers seeking to improve teaching practices and foster global citizenship among future educators and their students.
Negative rivalry in use: toward a knowledge-sharing perspective in the digital economy era
Authors: Yang Xiaowei , Zhang Haoyun , Huang Zhiyong 
Published: May 2024

Purpose
This study aims to introduce and prove the existence of negative rivalry in use, which should be an integral part of goods taxonomy, from the perspective of knowledge sharing and further present the critical role of knowledge sharing in the digital economy era by reviewing the literature, theoretical analysis and real-world cases. It also aims to open a new door for re-recognizing knowledge sharing through an interdisciplinary framework.

Design/methodology/approach
This study proves the existence of negative rivalry through both theoretical analysis (4-E model) and real-world cases, especially the cases of Tesla and ChatGPT, and puts up new reasons for knowledge sharing in the era of digital economy through interdisciplinary methods.

Findings
The authors find out that there are many new phenomena beyond the spectrum of current goods taxonomy, especially beyond the priori understanding of rivalry in use. Digital platforms such as ChatGPT should have been “used up” in no time, for they have attracted so massive users according to (positive) rivalry in use, or should have been unchanged at most according to non-rivalry in use. But what we see is their rapid upgrading with the help of billions of users. The reason is that negative rivalry in use has completely been neglected. The authors find out that the process of knowledge sharing unveils the unrecognized attribute of rivalry in use, i.e. negative rivalry in use, which serves as the fundamental driving force of the breathtaking growth of all kinds of digital platforms.

Originality/value
This study originally put up a 4-E model of goods’ rivalry in use, the brand new term, i.e. negative rivalry in use, and proves its existence and working mechanism from the perspective of knowledge sharing. With the introduction of negative rivalry in use, the traditional four-type goods classification model is extended into a six-type model, which may be a sound marginal contribution, to the best of the authors’ knowledge. The study may reshape people’s mindsets on goods usage, especially knowledge management, into a more open-sharing model because it shows that there is very likely a positive-sum game instead of a zero- or negative-sum game for shared knowledge per se and its platform in the process of knowledge sharing in the era of digital economy.
Prevalence of cosmetic surgery and its relationship with psychosocial status: a population based study in Sulaymaniyah, Iraq
Authors: Abdullah Farman Zahir 
Published: May 2024

Purpose
This study aims to investigate the prevalence of cosmetic surgery and its relationship with the level of mental health and socioeconomic variables in Sulaymaniyah city in Iraq.

Design/methodology/approach
This descriptive-analytical and cross-sectional study was conducted on 941 subjects who were selected using multistage sampling method. Data were collected using a checklist as well as a questionnaire. Data analysis was done using chi-square test and multiple logistic regression model using Stata software version 20.

Findings
The prevalence of cosmetic surgery was 13.4% (female: 17.5%; male: 8.2%). The most common types of cosmetic surgery were rhinoplasty (7.6%) in women and hair transplant (5.5%) in men. Overall, rhinoplasty (7.6%) was the most common type of cosmetic surgery among both groups. In total, the prevalence of having symptoms of mental disorders was 34.5% and it was significantly higher among people with a history of cosmetic surgery (65.1%) than those without any experience of having cosmetic surgery (29.8%) (p < 0.001). Being female (odds ratio [OR] = 2.07; 95% confidence interval [CI]: 1.33–3.22), having mild symptoms of mental disorders (OR = 2.76; 95% CI: 1.71–4.47) and having moderate or severe symptoms of mental disorders (OR = 7.48; 95% CI: 4.60–12.29) were among the important variables that could affect performing cosmetic surgery.

Originality/value
The prevalence of cosmetic surgery in Sulaymaniyah is high, and based on the findings of this study, gender and mental health status are effective factors in this regard. Designing targeted interventions is suggested with an emphasis on the findings of this study to reduce the rate of cosmetic surgeries.
Digital technologies' impacts on alleviation of poverty: a bibliometric review
Authors: Garg Nitin , Chaudhary Neeraj , Dalmia Priyanka 
Published: May 2024

PurposeDigital technologies have been found to have long-lasting impacts on poverty. This study has been conducted to shed light on the contributions made by digital technologies toward poverty alleviation and also provide future research directions.Design/methodology/approachThe authors thoroughly studied the sample of 258 publications from the Scopus database, covering the period from 1982 to June 2023. Using VOS viewer and Bibliometrix R, various graphs and networks are developed to understand publication trends, research collaborations and intellectual structures.FindingsA significant amount of the existing literature on the impact of digital technologies on poverty alleviation demonstrates the need for more studies in this area. Lack of information and communication technology (ICT) infrastructure and access exhibits less opportunity for work, social networking and entrepreneurship, directly affecting people’s livelihoods in developing countries.Practical implicationsThis study will help country planners, regulatory bodies and academicians get a deeper insight into the impact of digital technologies on poverty alleviation and also develop the future research agenda.Originality/valueThis study employs a considerable period of time, from the year 1982 to June 2023. To the best of authors’ knowledge, the current study is a pioneer in using bibliometric analysis to identify the impact of digital technologies on the alleviation of poverty. This attempt will surely be helpful to academicians, researchers and those working on identifying the impact of digital technology on poverty alleviation.
Food vloggers and their content: understanding pathways to consumer impact and purchase intentions
Authors: Nguyen Thi My Nguyet , Le Bao Ngoc , Leenders Mark A.A.M. , Poolsawat Pimpika 
Published: May 2024

PurposeThis study aims to understand pathways to success for food video bloggers (food vloggers) by identifying the drivers of positive reception among audiences. It examines how entertainment, information and interaction values affect attitudes toward food videos and vloggers. Additionally, it investigates the potential for product placement by studying the effects of attitudes toward food videos and vloggers on consumers’ behavioral intention regarding purchasing featured food ingredients.Design/methodology/approachAn integrated model informed by theories (uses and gratification and stimulus-organism-response) was developed. An online survey was administered to 339 Vietnamese social media users. The data were analyzed using partial least square structural equation modeling (PLS-SEM).FindingsThe results show that food videos’ entertainment and information value positively impact the attitude toward food videos. However, the interaction value does not have a significant impact. All three values (entertainment value, information value and interaction) impact the attitude toward food vloggers. Both attitudes significantly influence purchase intention, showing that there is a pathway to product placement. The frequency of social media use can moderate these relationships, with a negative effect on the attitude toward food videos and a positive effect on the attitude toward food vloggers.Originality/valueThese findings provide insights into vlogger success pathways, not only in terms of audience reception but also in terms of product placement. This study offers comprehensive suggestions on pathways for success that are interesting for vloggers, food business operators, restaurant managers and audiences on how to design effective food videos and potentially encourage consumer purchases. These pathways can also be valuable for other behaviors, such as food safety advice and food waste reduction.
Determining the factor levels for a green supply chain using response surface methodology based discrete event simulation
Authors: Dosdoğru Ayşe Tuğba , Buruk Sahin Yeliz , Göçken Mustafa , Boru İpek Aslı 
Published: May 2024

PurposeThis study aims to optimize the levels of factors for a green supply chain (GSC) while concurrently gaining valuable insights into the dynamic interrelationships among several factors, leading to reductions in CO2 emissions and the maximization of the average service level, thereby enhancing overall supply chain performance.Design/methodology/approachResponse surface methodology (RSM) is employed as a technique for multiple response optimization. This study uses a supply chain simulation model that includes decision variables related to the level of inventory control parameters and vehicle capacity. The desirability approach is adopted to achieve optimization objectives by focusing on minimizing CO2 emissions and maximizing service levels while simultaneously determining the optimum levels of considered decision variables.FindingsThe high R2 values of 97.38% for CO2 and 97.28% for service level, along with adjusted R2 values reasonably close to predicted values, affirm the models' capability to predict responses accurately. Key significant model terms for CO2 encompassed reorder point, order up to quantity, vehicle capacity, and their interaction effects, while service level is notably influenced by reorder point, order up to quantity, and their interaction effects. The study successfully achieved a high level of desirability value of %99.1 and the validated performance levels confirmed that the results fall within the prediction interval.Originality/valueThis study introduces a metamodel framework designed to optimize various design parameters for a GSC combining discrete event simulation (DES) and RSM in the form of a simulation optimization model. In contrast to the literature, the current study offers an exhaustive and in-depth analysis of the structural elements of the supply chain, particularly the inventory control parameters and vehicle capacity, which are crucial for comprehending its performance and environmental impact.