bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Quantitative Study of Factors Influencing Myasthenia Gravis Telehealth Examination Score
Authors: Garbey Marc , Lesport Quentin , Girma Helen , Öztosun Gülşen , Kaminski Henry J. 
Published: July 2024

IntroductionThe increasing utilization of telemedicine offers an opportunity of video-recording to then perform post-hoc quantitative analysis of all aspects of the patient-examiner interaction. Presently, telemedicine examinations are adapted from the standard clinical visit, but their benefits and deficiencies have not been rigorously assessed.MethodsWe utilized a bank of 54 subjects with myasthenia gravis (MG) each having two telemedicine examinations by neuromuscular experts with recording of the MG Core Examination and the MG Activities of Daily Living. We then applied a broad spectrum of artificial intelligence algorithms from computer vision and speech analysis to natural language processing to generate quantitative metrics of the digital records.ResultsWe successfully developed a technology to assess video examinations. Although the overall MG-CE examination scores were consistent across examiners, individual metrics showed significant variability, with up to a 25 percent variation in scoring within the MG-CE’s range. There was wide range of compliance with MG ADL instructions across examiners.DiscussionWe are able perform digital analysis of neuromuscular examinations and identified variations in outcome measure variations based on the examiner’s instructions, video recording limitations, and the severity of the patient’s disease. Particularly noteworthy is the high standard deviation in scores for examinations of patients with low disease severity.
Individualized Machine-learning-based Clinical Assessment Recommendation System
Authors: Setiawan Devin , Wiranto Yumiko , Girard Jeffrey M. , Watts Amber , Ashourvan Arian 
Published: July 2024

AbstractBackgroundTraditional clinical assessments often lack individualization, relying on standardized procedures that may not accommodate the diverse needs of patients, especially in early stages where personalized diagnosis could offer significant benefits. We aim to provide a machine-learning framework that addresses the individualized feature addition problem and enhances diagnostic accuracy for clinical assessments.MethodsIndividualized Clinical Assessment Recommendation System (iCARE) employs locally weighted logistic regression and Shapley Additive Explanations (SHAP) value analysis to tailor feature selection to individual patient characteristics. Evaluations were conducted on synthetic and real-world datasets, including early-stage diabetes risk prediction and heart failure clinical records from the UCI Machine Learning Repository. We compared the performance of iCARE with a Global approach using statistical analysis on accuracy and area under the ROC curve (AUC) to select the best additional features.FindingsThe iCARE framework enhances predictive accuracy and AUC metrics when additional features exhibit distinct predictive capabilities, as evidenced by synthetic datasets 1-3 and the early diabetes dataset. Specifically, in synthetic dataset 1, iCARE achieved an accuracy of 0·999 and an AUC of 1·000, outperforming the Global approach with an accuracy of 0·689 and an AUC of 0·639. In the early diabetes dataset, iCARE shows improvements of 1·5-3·5% in accuracy and AUC across different numbers of initial features. Conversely, in synthetic datasets 4-5 and the heart failure dataset, where features lack discernible predictive distinctions, iCARE shows no significant advantage over global approaches on accuracy and AUC metrics.InterpretationiCARE provides personalized feature recommendations that enhance diagnostic accuracy in scenarios where individualized approaches are critical, improving the precision and effectiveness of medical diagnoses.FundingThis work was supported by startup funding from the Department of Psychology at the University of Kansas provided to A.A., and the R01MH125740 award from NIH partially supported J.M.G.’s work.
Effects of working memory training on cognitive flexibility, dendritic spine density and long-term potentiation in female mice
Authors: Stavroulaki Vasiliki , Vagiaki Lida-Evmorfia , Nikolidakis Orestis , Zafiri Maria , Plataki Maria E. , Sidiropoulou Kyriaki 
Published: July 2024

AbstractWorking memory (WM) is a cognitive function that refers to the ability of short-term storage and manipulation of information necessary for the accomplishment of a task. Two brain regions involved in WM are the prefrontal cortex (PFC) and the hippocampus (HPC). Several studies have suggested that training in WM (WMT) can improve performance in other cognitive tasks. However, our understanding of the neurobiological changes induced by WMT is very limited. Previous work from our lab has shown that WMT enhances synaptic and structural plasticity in the PFC and HPC in male mice. In this study, we investigate the effect of WMT on cognitive flexibility and synaptic properties in PFC and HPC in adult female mice. To this end, female adult mice were split into 3 groups: a) naïve which remained in their home cage, b) non-adaptive which learned to alternate the arms in the T-maze but without any delays and c) adaptive which were trained in the delayed alternation task for 9 days. The delayed alternation task was used for WMT. In one cohort, following the delayed alternation task, all mice were tested in the attention set-shifting (AST) task in order to measure cognitive flexibility, and then, the brains were harvested for Golgi-Cox staining to study dendritic spine density. Our results showed that in female mice, there were no differences in performance in the AST among the three groups tested, however, the latency to make a choice was reduced. With regards to dendritic spine density, no significant differences were identified in PFC while increased dendritic spine density was found in the hippocampus of the adaptive group, compared to the naïve group. In a second cohort, acute brain slices were prepared following the delayed alternation task to investigate the synaptic properties in the PFC and the HPC. Evoked field excitatory post-synaptic potential (fEPSP) recordings were performed in either PFC or HPC brain slices. Our results show that tetanic-induced long-term potentiation (LTP) in the PFC was not different among the three training groups. In the HPC, theta-burst induced LTP was significantly increased in the adaptive group also compared to the other two groups. These results reveal both similarities and differences of WMT on cognitive flexibility, dendritic spine density and LTP in females, compared to males.
Reprograming of the ubiquitin ligase Ubr1 by intrinsically disordered Roq1 through cooperating multifunctional motifs
Authors: Peters Niklas , Kanngießer Sibylle , Pajonk Oliver , Salazar Claros Rafael , Mogk Axel , Schuck Sebastian 
Published: July 2024

AbstractOne way cells control the speed and specificity of protein degradation is by regulating the activity of ubiquitin ligases. Upon proteotoxic stress in yeast, the intrinsically disordered protein Roq1 binds the ubiquitin ligase Ubr1 as a pseudosubstrate, thereby modulating the degradation of substrates of the N-degron pathway and promoting the elimination of misfolded proteins. The mechanism underlying this reprograming of Ubr1 is unknown. Here, we show that Roq1 controls Ubr1 by means of two cooperating multifunctional motifs. The N-terminal arginine and a short hydrophobic motif of Roq1 interact with Ubr1 as part of a heterobivalent binding mechanism. Via its N-terminal arginine, Roq1 regulates the ubiquitination of various N-degron substrates and folded proteins. Via its hydrophobic motif, Roq1 accelerates the ubiquitination of misfolded proteins. These findings reveal how a small, intrinsically disordered protein with a simple architecture engages parallel channels of communication to reprogram a functionally complex ubiquitin ligase.
The interplay among trust, reciprocity and commitment factors in facilitating supply chain collaboration: the case of Vietnamese fishery industry
Authors: Nguyen Minh Phuc , Thai Vinh Van , Chan Caroline , Lau Kwok Hung , Nguyen My Thi Ngoc , Do Hoang Phuong Nhi 
Published: July 2024

PurposeSupply chain collaboration is increasingly important in today’s competitive business environment. While prior research has acknowledged the role of relationships in facilitating collaboration, few studies have considered inter-personal and inter-organisational attributes simultaneously. This study addresses this gap by investigating these two levels of the manufacturer-supplier relationship in Vietnam’s fishery industry and their impacts on supply chain collaboration.Design/methodology/approachThe study employed a quantitative approach. A questionnaire was distributed to 635 fishery manufacturers in Vietnam by the drop-and-collect method. EFA and CFA were used to assess the reliability and validity of the measurement model, while CB-SEM was employed for structural model assessment and hypothesis testing.FindingsSupply chain collaboration encompasses incentive alignment, collaborative communication, decision synchronisation, and information sharing. All antecedents, including commitment, inter-organisational trust, reciprocity, and inter-personal trust, positively affect collaboration. Inter-personal trust positively influences the other antecedents, and inter-organisational trust enhances commitment. Furthermore, there are partial mediating effects among these relationship attributes. However, no significant moderating effect regarding firm size is observed.Originality/valueThe study extends the social exchange theory to encompass both inter-personal and inter-organisational relationship attributes. Additionally, it pioneers in investigating the interrelatedness of these antecedents. By addressing the research gap in the Vietnamese fishery supply chain, it offers valuable insights for both academics and practitioners, contributing to theoretical understanding and practical implications in supply chain collaboration.
Exploring the nexus between CEO characteristics and the value of excess cash holdings through the lens of the resource-based view theory
Authors: Guizani Moncef , Larabi Chouayb 
Published: July 2024

Purpose
This study aims to examine the relationship between CEO characteristics and the value of excess cash holdings from the perspective of resource-based view (RBV) theory in the context of Malaysia.

Design/methodology/approach
The analyses were made using ordinary least squares across 173 non-financial firms listed in Bursa Malaysia over the period of 2015–2021. The authors address potential endogeneity through the generalized method of moments. The results are also robust to alternative measures of excess cash holdings.

Findings
The results showed that female CEOs and CEOs’ educational level are significantly positively related to the value of excess cash holdings. In contrast, CEO tenure and CEO age negatively affect a firm’s excess cash valuation. The results are robust to measurement error and endogeneity issues.

Practical implications
The empirical results have useful policy implications. For practitioners, firms are recommended to prioritize the selection of female CEOs and CEOs with high education levels within their top management, as this initiative can result in improved value associated with excess cash holdings. In addition, policymakers are recommended to guide programs that attempt to improve educational attainment and gender diversity in business leadership. This study also provides investors with insightful information about the possible relationship between CEO traits and company performance, especially with regard to measures for managing surplus capital.

Originality/value
To the best of the authors’ knowledge, this study is the first to explore the role of CEO characteristics in the value of excess cash holdings based on the RBV theory.
Sustainable solutions: using MCDM to choose the best location for green energy projects
Authors: Karbassi Yazdi Amir , Tan Yong , Birau Ramona , Frank Daniel , Pamučar Dragan 
Published: July 2024

Purpose
This study aims to find the best location for constructing green energy facilities in India and reducing CO2 emissions. Incorporating green energy is a priority for many countries under the Paris Agreement. This task is challenging due to factors that affect implementation, and making the wrong decision wastes resources. India’s goals are net-zero emissions by 2070 and 50% renewable electricity by 2030. Other developing nations should emulate India’s renewable energy strategy. India ranks fourth in renewable energy and wind power, and fifth in solar power capacity. This research aims to identify the best locations in India for implementing green energy projects.

Design/methodology/approach
To identify the optimal green energy implementation sites in India, this research uses the hybrid multicriteria decision analysis (MCDA) in an uncertain environment. This research uses the Delphi method to identify the most suitable green energy implementation sites in India. It adapts the elements for this investigation. In addition, the utilization of the Fermatean fuzzy weighted aggregated sum product assessment technique is implemented to effectively prioritize the factors that impact the selection of these sites. This study used the MEREC method (method based on the removal effects of criteria) to identify the most suitable areas in India for implementing green energy. The highest accuracy is attained through the amalgamation of these hybrid methods.

Findings
Following the computation data by hybrid MCDA in uncertainty environment, NP Kunta in Andhra Pradesh emerges as the recommended green energy site among the 11 considered. Also among the factors political strategies and objectives hold the highest priority among them.

Originality/value
This study is pioneering in its efforts to provide a comprehensive perspective on the development and management of green energy operations in India. The study proves advantageous for diverse sites in the successful adoption and management of green energy. The study is additionally valuable in informing policy development aimed at promoting the use of green energy by employees through the utilization of MCDA methods in uncertain environments.
Green human resource management, energy saving behavior and environmental performance: a systematic literature review
Authors: Sahan Utbee Monther Hussian , Jaaffar Amar Hisham Hisham , Osabohien Romanus 
Published: July 2024

Purpose
This study aims to conduct a comprehensive assessment of the existing literature on green human resource management (GHRM) and its correlation with environmental performance (EP) and energy saving behavior (ESB) by using the PRISMA methodology.

Design/methodology/approach
A thorough examination was undertaken involving a total of 25 articles which included a diverse range of years and geographic areas.

Findings
The findings suggest a growing emphasis on the intersection of GHRM, EP and ESB, supported by a substantial increase in research in recent times. The literature in question was mostly contributed by Malaysia, Pakistan, Canada and Thailand. Majority of research endeavors were carried out within the context of manufacturing companies. The studies under scrutiny mostly used quantitative research methodologies and often applied the resource-based view (RBV) and theory of planned behavior (TPB) frameworks to investigate the relationships between GHRM, ESB and EP. In addition, structural equation modeling (SEM) has garnered significant attention as a commonly used analytical methodology. This analysis emphasizes the growing importance of GHRM strategies such as green recruiting, green performance management and green remuneration, in fostering sustainable organizational results.

Originality/value
This work offers significant contributions to the existing body of research in this particular sector; shedding light on its present condition and pinpointing prospective avenues for future inquiries.
Hazing for lunch: a study of unethical socialisation practices
Authors: Kristensen Anette Kaagaard , Kristensen Martin Lund , Mikkelsen Eva Gemzøe 
Published: July 2024

Purpose
This paper aims to explore the impact of social segregation and exclusionary workplace hazing during lunch breaks on newcomers’ relational quality during the early socialisation phase.

Design/methodology/approach
This study draws on data from a qualitative study based on semi-structured interviews with recently employed nurses (n = 19) and nursing students (n = 42) about their workplace hazing experiences. The data was analysed using reflexive thematic analysis.

Findings
The analysis revealed two main themes: “feeling isolated” and “justifying self-exclusion.” Newcomers reported feeling humiliated when subjected to exclusionary hazing by experienced colleagues, leading to feelings of alienation and impacting their relationships with their new colleagues. Newcomers tended to distance themselves in various ways and justified this behaviour as a means of self-care.

Originality/value
This paper adds to the limited knowledge about the effects of newcomers’ exposure to workplace hazing during their early socialisation. It provides a relational perspective on the consequences of workplace hazing and explains how the social context influences the normative expectations of newcomers.
Integrating traditional knowledge and cultural heritage with climate adaptation and disaster risk reduction: the role of training and tools
Authors: Bhatia Sanjaya , Shukla Nidhi 
Published: July 2024

PurposeThis paper investigates potential solutions to the challenges governments and stakeholders face in applying climate change adaptation and disaster risk reduction actions in ways that will save lives and use funds efficiently. The paper examines how traditional knowledge and cultural heritage can improve resilience and assesses the potential impact of relevant tools and training. Successful examples of tools, and applications of traditional knowledge as an accelerator to enhanced resilience will be explored.Design/methodology/approachThe paper studies the importance of integrating cultural heritage with climate and disaster risk reduction plans and examines why this has not been happening to the extent it should. While probing the barriers to such integration, the paper also explores examples of best practice drawn from experience gathered in ICCROM projects. Possible mechanisms to overcome common barriers through training are suggested, and the role that training and relevant tools could play in enabling and accelerating such integration are studied.FindingsThe conclusions demonstrate that training is a critical factor in facilitating the knowledge enhancement needed to understand how to integrate disaster and climate risks.Originality/valueThe research was conducted as part of a training program which the authors helped organize. The analysis is the original work of the authors.
Unlocking the potential: redefining talent and competency mapping for Industry 4.0
Authors: Marlapudi Kiran , Lenka Usha 
Published: July 2024

Purpose
This review aims to investigate the impact of Industry 4.0 on talent development, emphasizing the need to redefine talent for the future of work. By exploring the evolving job requirements, the research seeks to map the competencies essential for success in Industry 4.0 and provide insights for developing talent to stay competitive in the digital era.

Design/methodology/approach
The review uses a comprehensive literature review to systematically trace the evolution of talent and identify the evolving competencies needed for Industry 4.0. Drawing upon established theoretical frameworks of resource-based view, human capital theory and organizational learning theory, this review identifies key factors influencing talent development and Industry 4.0 competencies.

Findings
The findings reveal that the emergence of automated technologies has altered the traditional understanding of jobs and highlights the importance of talent development aligned with Industry 4.0. By investing in developing Industry 4.0 competencies, organizations empower employees to navigate change and remain competitive. Effective talent management strategies contribute to retaining talented individuals and achieving sustainable competitive advantage for organizations.

Practical implications
This study has implications for educational institutions in guiding their curriculum, for organizations to identify the skills and talents necessary to adapt to Industry 4.0 and for the government to inform policy changes that contribute to the global economy and promote a skilled workforce.

Originality/value
This research contributes to the existing literature by comprehensively examining talent in the context of Industry 4.0. It offers a nuanced understanding of the role of talent management in the intersection of talent, competencies and changing technologies in future-proofing organizations.
Evaluating women’s knowledge about dietary supplement use during pregnancy
Authors: Daghash Ayah Mohammed , Daghash Rajaa Mohammed , Abuh-Odeh Ala’ Mustafa , Fino Leen Bassam , Ayyash Manal Abdel-Kareem , Mohammad Beisan Ali 
Published: July 2024

Purpose
Dietary supplements are important in improving maternal health and birth outcomes during pregnancy. This study aims to assess women’s knowledge about the benefits, sources and proper intake of dietary supplements during pregnancy.

Design/methodology/approach
This cross-sectional study was conducted among women at Jordan University Hospital in Amman, Jordan from July to October 2023.

Findings
A total of 448 women completed the questionnaire. Analysis of the results showed that among all questions, participants perceived sufficient knowledge about dietary supplements' beneficial effects. Around 50% of the participants did not recognize the importance of vitamin B12 and vitamin A. Most participants identified that iron supplements should not be taken with dairy products, coffee, tea, calcium and antacids. Most participants did not know the source of vitamin A (82.1%), and only 44% knew the correct source of vitamin B12. Less than half of the participants recognized the appropriate administration time for each dietary supplement.

Originality/value
The knowledge level of the interaction between iron and food, natural sources of vitamins and their benefits was high, less than half of the participants showed poor knowledge about the proper time to take the dietary supplement. Patient education and counseling is important to improve health outcomes.
When your reputation precedes you: strategic recruitment for enhancing diversity
Authors: Holmes Jordan , Ryan Ann Marie 
Published: July 2024

PurposeThis paper provides a discussion of evidence supporting strategic, targeted recruitment for increasing minority representation in police agencies in the context of negative reputations for inclusion.Design/methodology/approachDatabase searching along with backward and forward citation chaining identified 145 articles for review. After extracting the recruitment strategies mentioned that had empirical support for effectiveness, a framework was developed for categorizing those strategies.FindingsPolice agencies use some evidence-based practices (e.g. community engagement) but could do more to enhance diversity. Strategy applicability in the context of limited organizational diversity or a less positive reputation as an inclusive employer is discussed.Practical implicationsThis review provides a clear set of recommended best practices for agencies to use in evaluating and enhancing their efforts at targeted recruiting.Originality/valueReviews of recruiting practices in policing have not provided a deep consideration of the evidence base for practice effectiveness nor considered practices that have support in non-policing contexts. Our review addresses the concerns of agencies that must address a less positive image regarding diversity and inclusion.