bluuebunny/crossref_metadata_2025_split huggingface dataset:
A meta-analysis of sex differences in neonatal rodent ultrasonic vocalizations and the implication for the preclinical maternal immune activation model
Authors: Randell Alison M. , Salia Stephanie , Fowler Lucas F. , Aung Toe , Puts David A. , Swift-Gallant Ashlyn 
Published: August 2024

AbstractAs the earliest measure of social communication in rodents, ultrasonic vocalizations (USVs) in response to maternal separation are critical in preclinical research on neurodevelopmental disorders (NDDs). While sex differences in both USV production and behavioral outcomes are reported, many studies overlook sex as a biological variable in preclinical models of NDDs. We aimed to evaluate sex differences in USV call parameters and to determine if USVs are differently impacted based on sex in the preclinical maternal immune activation (MIA) model. Results indicate that sex differences in USVs vary with developmental stage and are more pronounced in MIA offspring. Specifically, control females exhibited longer call durations than males in early development (up to postnatal day [PND] 8), but this pattern reverses after PND8. MIA leads to a reduction in call numbers for females compared to same-sex controls in early development, with a reversal post-PND8. MIA decreased call duration and increased total call duration in males, but unlike females, developmental stage did not influence these differences. In males, MIA effects varied by species, with decreased call numbers in rats but increased call numbers in mice. The timing of MIA (gestational day ≤ 12.5 vs. >12.5) did not significantly affect the results. Our findings highlight the importance of considering sex, developmental timing, and species in USVs research. We discuss how analyzing USV call types and incorporating sex as a biological variable can enhance our understanding of neonatal ultrasonic communication and its translational value in NDD research.
From trial to triumph! A longitudinal design eliciting social impact perspective for sustained usage of gamified fitness apps
Authors: Singh Pratibha , Malik Garima 
Published: August 2024

PurposeAs fitness apps have integrated gamification elements into their design to transform exercise into a compelling and competitive experience, this study draws on the expectation confirmation model (ECM) and self-determination theory (SDT) to propose a comprehensive framework for sustained usage by satisfying the psychological needs of users.Design/methodology/approachA longitudinal study design is utilized where data from 598 fitness app users were gathered over two distinct phases separated by 24 weeks, where data were analyzed using structural equation modeling.FindingsThe findings until phase 1 depict that motivational affordances significantly affect mastery, autonomy and relatedness, which in turn exert a significant influence on flow. Identification and compliance have a more pronounced effect in phase 2 compared to stage 1 of the analysis.Research limitations/implicationsIndividuals are more prone to being swayed by fellow members of their social group who share an affiliation with fitness apps, leading them to sustain their usage of fitness apps. These insights can potentially guide app developers and marketers in formulating strategies based on modifiable factors to foster sustained growth for gamified fitness apps.Originality/valueThis study takes a novel stance by employing social impact theory (SIT) in a longitudinal setting to reveal how users react to identification and compliance effects during initial and post-adoption usage of gamified fitness apps.
Estimating and forecasting bitcoin daily prices using ARIMA-GARCH models
Authors: Phung Duy Quang , Nguyen Thi Oanh , Le Thi Phuong Hao , Pham Hoang Hai Duong , Luong Khanh Linh , Nguyen Thi Kim Ngan 
Published: August 2024

PurposeThe goal of the study is to offer important insights into the dynamics of the cryptocurrency market by analyzing pricing data for Bitcoin. Using quantitative analytic methods, the study makes use of a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model and an Autoregressive Integrated Moving Average (ARIMA). The study looks at how predictable Bitcoin price swings and market volatility will be between 2021 and 2023.Design/methodology/approachThe data used in this study are the daily closing prices of Bitcoin from Jan 17th, 2021 to Dec 17th, 2023, which corresponds to a total of 1065 observations. The estimation process is run using 3 years of data (2021–2023), while the remaining (Jan 1st 2024 to Jan 17th 2024) is used for forecasting. The ARIMA-GARCH method is a robust framework for forecasting time series data with non-seasonal components. The model was selected based on the Akaike Information Criteria corrected (AICc) minimum values and maximum log-likelihood. Model adequacy was checked using plots of residuals and the Ljung–Box test.FindingsUsing the Box–Jenkins method, various AR and MA lags were tested to determine the most optimal lags. ARIMA (12,1,12) is the most appropriate model obtained from the various models using AIC. As financial time series, such as Bitcoin returns, can be volatile, an attempt is made to model this volatility using GARCH (1,1).Originality/valueThe study used partially processed secondary data to fit for time series analysis using the ARIMA (12,1,12)-GARCH(1,1) model and hence reliable and conclusive results.
The dynamic interplay of knowledge management, innovation and learning capabilities in digital supply chain adoption: a mediation-moderation model
Authors: Hashem Gharib , Aboelmaged Mohamed 
Published: August 2024

PurposeThe rapid global changes we are witnessing pose a pressing challenge that necessitates reevaluating conventional supply chain practices. Consequently, the integration of digital technologies into supply chain operations, often referred to as digital supply chain (DSC), has emerged as a strategic shift that aims to empower organizations to proactively seize new opportunities rather than being caught off guard by unforeseen disruptions arising from economic volatility, global pandemics and regional conflicts. Thus, this study embraces a knowledge-centric approach to explore the direct and indirect impact of knowledge management, innovation and learning capabilities on DSC adoption in an emerging economy context. Furthermore, it aims to shed light on the moderating role of environmental dynamism in this intricate interplay.Design/methodology/approachEmploying a cross-sectional survey, the research data were collected from 354 managers representing Egyptian manufacturing and service firms utilizing a structured questionnaire. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM).FindingsThe results unveiled that knowledge management capability (KMC) has the highest path coefficient value among all endogenous variables. It accounts for a significant portion of the variance in innovation and learning capabilities, which play pivotal roles in adopting DSC. Notably, learning capability appears to exert a more powerful influence on DSC adoption than innovation capability through direct and mediating effects. Furthermore, the findings underscore the moderating effect of environmental dynamism on the relationship between learning capability and DSC adoption. However, this moderating role is not observed in the link between innovation capability and DSC adoption.Practical implicationsThere is a growing trend among firms to adopt DSC in response to significant environmental shifts. This study offers valuable insights for managers and policymakers, providing them with a deeper understanding of the DSC adoption process. The study’s findings assist in identifying crucial factors that boost DSC adoption and offer guidance on successfully leveraging digital technologies for managing supply chain practices. Moreover, the study offers stimulating directions for future DSC research directions.Originality/valueThe study contributes to the existing literature by expanding our understanding of the adoption of DSC by utilizing knowledge, innovation and learning capabilities within the context of emerging economies.
Smart technologies for retailing: who, what, where and why
Authors: Vadruccio Roberta , Seghezzi Arianna , Tumino Angela 
Published: August 2024

PurposeThe retail landscape is dramatically changing due to a series of socio-economic and technological challenges, which can be faced through the adoption of smart technologies. Accordingly, a significant number of publications in this field have been produced, albeit with fragmented results. Therefore, this paper aims at both providing a clear and organised overview of the main smart technologies for physical retailing, in terms of application fields and expected impact, while identifying the major shortcomings and future research avenues.Design/methodology/approachThe research conducts a systematic review of the literature concerning the assimilation of smart technologies within physical retail environments, resulting in the analysis of 103 papers published from 2005 to 2023. The review highlights (1) the main smart technologies employed in retail stores, (2) their application area and (3) the beneficiaries of their adoption. Accordingly, these three aspects are initially assessed independently and then examined in combination.FindingsThe analysis presents a comprehensive list of 16 key technologies (what) that can support a wide range of processes, spanning from back-end functions to front-end activities, also enabling the connection with online channels (where), catering several and different benefits (why) to both customers and retailers (who). Besides, the research points out many uncovered topics that could be addressed by the academic community.Originality/valueTo the best of the authors’ knowledge, the review is the first one in the literature offering a thorough and organised overview of the different available technologies for in-store application and their impact on physical retail processes.
Transparency requirements after the pandemic: traceability information, information usefulness and trust
Authors: Lam Tri 
Published: August 2024

PurposeThe flagship traceability technology is increasing transparency, social benefit and economic value particularly after the pandemic. There has not been much research on how information quality in transparency affects information usefulness and trust. The research model is built on the framework of transparency requirements and incorporates the usefulness of traceability information and trust.Design/methodology/approachQuestionnaire survey was used for data collection. To evaluate the research model, structural equation modeling (SEM) was employed. Measurement invariance analysis was used to investigate variations in trust between groups.FindingsThe results show that transparency requirements including information relevancy, ease of manipulation and value-added information affect information usefulness. The usefulness of traceability information positively affects trust in producers. Information receivers who believe in the credibility of traceability information have a higher level of trust than those who do not.Originality/valueThe results have important theoretical and practical implications for academia and industry to devise strategies and policies on data-centric traceability systems.
Unbraiding the effect of policy benefits on subjective well-being: the mediating role of work-related well-being
Authors: Singh Sushmita 
Published: August 2024

PurposeThis piece of research attempts to find out the association between work-related well-being (WWB), benefits of scheme (BoS) and subjective well-being (SWB). The study was conducted on handloom weavers in Uttar Pradesh (UP), India.Design/methodology/approachThe association among the variables was studied using structural equation modeling on Amos 22. The tripartite relationship of WWB, BoS and SWB was explored using causal steps approach. Bootstrapping of a sample size of 2,000 was performed. A cross-sectional survey was conducted on 403 weavers, and convenient sampling was done.FindingsA direct link was found by the structural equation modeling (SEM) results between benefits of schemeBoS and SWB, which was reflected by a value of rˆ2 (0.33) at significance level p < 0.001. The standardized indirect effect of BoS on SWB was found to be 0.158 (p < 0.001). In the presence of WWB, the relationship between BoS and SWB (direct effect) stands significant, thus making this a case of partial mediation. The value of Rˆ2 is increased to 48.1% in presence of a mediating variable.Research limitations/implicationsThe study indicated the importance of WWB and how it can enhance SWB.Originality/valueThe relationship between SWB, WWB and policy benefits has still not been explored.
Hedonic consumption of virtual rides entertainment service: a multi-method perspective: SEM and fsQCA
Authors: Abbasi Amir Zaib , Mirza Farhan , Albashrawi Mousa , Ting Ding Hooi , Abbasi Ghazanfar Ali 
Published: August 2024

PurposePrior studies have put much emphasis on using the uses and gratification (U&G) theory to find out why people use games, social media, the Internet, e-shopping, etc. Despite past research efforts, the root causes underlying this phenomenon still need to be discovered as to why people use interactive virtual rides (vrides) entertainment services, especially when incorporating the hedonic consumption perspective (i.e. playful-consumption experiences). Considering the knowledge gap in the vrides’ context, this study aims to use the UGT to find out why people use the vrides entertainment service from a hedonic consumption point of view.Design/methodology/approachWith 217 usable responses, the research model was tested using partial least squares-based structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA).FindingsFindings reveal that only perceived enjoyment, arousal and sensory experience derive continuous intention behavior to consume vride entertainment service. Findings using the fsQCA revealed multiple causal configurations for the proposed outcome.Originality/valueThis study contributes to extending the assumption of UGT via incorporating the hedonic consumption perspective to explore the potential motives and intention to consume vrides entertainment services. Our study also discusses the important theoretical/practical implications of our findings. Besides, this study is unique because it shows both symmetrical and asymmetrical connections that help us understand why people keep using vrides entertainment service.
Integrating industry 4.0 in manufacturing: overcoming challenges and optimizing processes (case studies)
Authors: Fekrisari Mahsa , Kantola Jussi 
Published: August 2024

PurposeThis paper aims to identify potential barriers to Industry 4.0 adoption for manufacturers and examine the changes that must be made to production processes to implement Industry 4.0 successfully. It aims to develop technology by assisting with the successful implementation of Industry 4.0 in the manufacturing process by using smart system techniques.Design/methodology/approachMultiple case studies are used in this paper by using the smart system and Matlab, and semi-structured interviews are used to collect qualitative data.FindingsStandardization, management support, skills, and costs have been cited as challenges for most businesses. Most businesses struggle with data interoperability. Complexity, information security, scalability, and network externalities provide challenges for some businesses. Environmental concerns are less likely to affect businesses with higher degrees of maturity. Additionally, it enables the Technical Director’s expertise to participate in the measurement using ambiguous input and output using language phrases. The outcomes of the numerous tests conducted on the approaches are extensively studied in the provided method.Originality/valueIn this research, a multiple-case study aims to carry out a thorough investigation of the issue in its actual setting.
Taxon‐specific response of natural enemies to different flower strip mixtures
Authors: Blümel Simon , Beule Lukas , Bissantz Nicolai , Kirchner Wolfgang H. , Haberlah‐Korr Verena 
Published: August 2024

Abstract

Flower strips are a prominent agri‐environmental scheme with the central objective to promote biodiversity and maintain associated ecosystem services. The promotion of natural enemies by increasing resource availability through flower strips is a promising approach for integrated pest management.

In a 3‐year field study, two annual and two perennial flower strip mixtures, as well as a grass mixture, were tested regarding their attractiveness for natural enemies at three different study sites in Germany. Natural enemies were sampled annually in nine sampling rounds at a 10‐day rhythm using sweep netting and pitfall traps. To assess available floral resources, we estimated the species‐specific flower cover and classified species into flower types.

Flower strip mixtures differed in their attractiveness to natural enemies. Treatment effects on arthropod activity density were most pronounced in the second and third year. Overall, perennial were more attractive than annual flower strip mixtures for most natural enemies, however, the response to flower strip mixtures varied significantly among taxa. For example, perennial flower strips showed a two‐ to fourfold increase of plant‐dwelling spider and parasitoid wasp activity density as well as higher numbers of juvenile stages of predatory bugs and rove beetles compared to annual flower strips. In contrast, annual flower strip mixtures showed the highest attractiveness for ground beetles. Moreover, different natural enemy taxa were associated with varying flower strip characteristics such as flower type proportion, herbivore availability and plant species richness.

Synthesis and applications. We found taxon‐specific responses of natural enemies to different flower strips, which provide guidance for the floral composition of flower strips in order to maximize their effectiveness for natural pest control. We suggest the use of perennial mixtures with high proportion of flower heads (Asteraceae) and disk flowers (esp. Apiaceae, Rubiaceae, Brassicaceae) in particular, but also flag blossoms (Fabaceae) as these flower types were positively associated with several natural enemy groups. However, since we found mixed responses to flower types, specific flower strip composition will ultimately depends on its objective.
Reforming Physician Licensure in the United States to Improve Access to Telehealth: State, Regional, and Federal Initiatives
Authors: JOLIN JAMES RENÉ , RICHMAN BARAK , MEHROTRA ATEEV , SHACHAR CARMEL 
Published: August 2024

Policy Points
The reinstitution of pre–COVID‐19 pandemic licensure regulations has impeded interstate telehealth. This has disproportionately impacted patients who live near a state border; geographically mobile patients, such as college students; and patients with rare diseases who may need care from a specialist outside their state.
Several promising and feasible reforms are available, at both state and federal levels, to facilitate interstate telehealth. For example, states can offer exemptions to licensure requirements for certain types of telehealth such as follow‐up care or create licensure registries that impose little reduced paperwork and fees on physicians. On the federal level, congressional interventions that mimic the Department of Veterans Affairs Maintaining Internal Systems and Strengthening Integrated Outside Networks (VA MISSION) Act of 2018 can waive provider licensing and geographic restrictions to telehealth within certain federal programs such as Medicare.
Any discussion of medical licensure reform, however, must also consider the current political climate, one in which states are taking divergent stances on sensitive topics such as reproductive care, gender‐affirming care, and substance use treatments.
Influence of impaired glucose tolerance alone and combined with metabolic syndrome on long‐term risk of cardiovascular events and mortality
Authors: Chen Fei , He Yifan , Wang Jinping , Yu Liping , Gong Qiuhong , Chen Yanyan , An Yali , He Siyao , Li Guangwei , Zhang Bo 
Published: August 2024

AbstractBackgroundThis study aimed to investigate the potential differences in the influence of impaired glucose tolerance (IGT) with and without metabolic syndrome (MetS) on cardiovascular (CV) events and mortality.MethodsParticipants having IGT with MetS (IGT_MetS), those having IGT without MetS (IGT_non_MetS), and those having normal glucose tolerance (NGT) without MetS (NGT_non_MetS) (N = 246, N = 294, and N = 471, respectively) were included in this study. Cox proportional hazards regression was used to examine the relationship among these three groups and CV events and mortality.ResultsOver the 30‐year follow‐up period, 57 (12.1%) participants having NGT_non_MetS, 55 (18.71%) with IGT_non_MetS, and 74 (30.08%) with IGT_MetS experienced CV mortality. After adjusting for risk factors, the hazard ratios for CV mortality were 2 (95% confidence interval [CI], 1.38–2.91) for the IGT_non_MetS group and 2.96 (95% CI, 2.09–4.19) for the IGT_MetS group, compared with the NGT_non_MetS group. Similar patterns were observed for CV events, with hazard ratios of 1.49 (95% CI, 1.19–1.88) for the IGT_non_MetS group and 1.97 (95% CI, 1.58–2.47) for the IGT_MetS group. Sensitivity analysis revealed that the hazard ratios of the IGT_non_MetS and IGT_MetS groups indicated a higher risk of all‐cause mortality, myocardial infarction events or myocardial infarction mortality, and stroke events or stroke mortality compared with that of the NGT_non_MetS group.ConclusionIGT_non_MetS increased the risk of CV mortality and events. Furthermore, when it occurred in conjunction with MetS, it further increased the risk of CV mortality and events. This suggested that active intervention is required.image
Global, regional, and national drowning trends from 1990 to 2021: Results from the 2021 Global Burden of Disease Study
Authors: Zhu Weimin , He Xiaxia , San Renfei , Chen Nanjin , Han Tingfen , Zhang Sheng , Xu Yubin , Jin Shengwei , Xu Yinghe , Jiang Yongpo 
Published: August 2024

AbstractBackgroundDrowning is a preventable public health concern that burdens emergency care systems globally. This study comprehensively evaluated fatal drowning patterns across population, time, and geography from 1990 to 2021 to inform effective prevention strategies.MethodsUsing the 2021 Global Burden of Disease Study framework and standardized estimation methods, the study analyzed global and regional drowning burden in terms of mortality, incidence, and disability‐adjusted life‐years (DALYs), based on population registry data and drowning‐related epidemiological covariates.ResultsGlobal drowning incidents decreased by 33.67% from 1990 to 2021. The drowning incidence rate and mortality rate declined from 24.20 and 9.68 per 100,000 in 1990 to 10.85 and 3.48 per 100,000 in 2021, respectively. Years of life lost and DALYs rates due to drowning also decreased significantly, from 715.80 and 718.69 per 100,000 in 1990 to 197.64 and 198.92 per 100,000 in 2021. Regionally, East Asia had the highest drowning mortality (27.15% of global deaths), while the high‐income Asia Pacific region experienced the highest incidence rate (21.38 per 100,000). South Asia had the greatest number of drowning deaths (75,639). Tropical Latin America showed the largest incidence decline, while high‐income Asia Pacific exhibited increasing trends. Drowning disproportionately affected children under 5 and the elderly in most regions.ConclusionsWhile global drowning rates have declined, progress varies across regions. To improve prevention, focus should target low‐income/middle‐income countries and vulnerable populations like children and the elderly. Increased investment in safety education and rescue resources is vital to address their disproportionate risks.