bluuebunny/crossref_metadata_2025_split huggingface dataset:
Macromolecular interactions and geometrical confinement determine the 3D diffusion of ribosome-sized particles in liveEscherichia colicells
Authors: Valverde-Mendez Diana , Sunol Alp M. , Bratton Benjamin P. , Delarue Morgan , Hofmann Jennifer L. , Sheehan Joseph P. , Gitai Zemer , Holt Liam J. , Shaevitz Joshua W. , Zia Roseanna N. 
Published: March 2024

ABSTRACTThe crowded bacterial cytoplasm is comprised of biomolecules that span several orders of magnitude in size and electrical charge. This complexity has been proposed as the source of the rich spatial organization and apparent anomalous diffusion of intracellular components, although this has not been tested directly. Here, we use biplane microscopy to track the 3D motion of self-assembled bacterial Genetically Encoded Multimeric nanoparticles (bGEMs) with tunable size (20 to 50 nm) and charge (−2160 to +1800 e) in liveEscherichia colicells. To probe intermolecular details at spatial and temporal resolutions beyond experimental limits, we also developed a colloidal whole-cell model that explicitly represents the size and charge of cytoplasmic macromolecules and the porous structure of the bacterial nucleoid. Combining these techniques, we show that bGEMs spatially segregate by size, with small 20-nm particles enriched inside the nucleoid, and larger and/or positively charged particles excluded from this region. Localization is driven by entropic and electrostatic forces arising from cytoplasmic polydispersity, nucleoid structure, geometrical confinement, and interactions with other biomolecules including ribosomes and DNA. We observe that at the timescales of traditional single molecule tracking experiments, motion appears sub-diffusive for all particle sizes and charges. However, using computer simulations with higher temporal resolution, we find that the apparent anomalous exponents are governed by the region of the cell in which bGEMs are located. Molecular motion does not display anomalous diffusion on short time scales and the apparent sub-diffusion arises from geometrical confinement within the nucleoid and by the cell boundary.
Deep Conformal Supervision: a comparative study
Authors: Vahdani Amir M. , Faghani Shahriar 
Published: March 2024

AbstractBackgroundTrustability is crucial for Al models in clinical settings. Conformal prediction as a robust uncertainty quantification framework has been receiving increasing attention as a valuable tool in improving model trustability. An area of active research is the method of non-conformity score calculation for conformal prediction.MethodWe propose deep conformal supervision (DCS) which leverages the intermediate outputs of deep supervision for non-conformity score calculation, via weighted averaging based on the inverse of mean calibration error for each stage. We benchmarked our method on two publicly available datasets focused on medical image classification; a pneumonia chest radiography dataset and a preprocessed version of the 2019 RSNA Intracranial Hemorrhage dataset.ResultsOur method achieved mean coverage errors of 16e-4 (CI: le-4, 41e-4) and 5e-4 (CI: le-4, 10e-4) compared to baseline mean coverage errors of 28e-4 (CI: 2e-4, 64e-4) and 21e-4 (CI: 8e-4, 3e-4) on the two datasets, respectively.ConclusionIn this non-inferiority study, we observed that the baseline results of conformal prediction already exhibit small coverage errors. Our method shows a relative enhancement, particularly noticeable in scenarios involving smaller datasets or when considering smaller acceptable error levels, although this improvement is not statistically significant.
VerSoX B07-B: a high-throughput XPS and ambient pressure NEXAFS beamline at Diamond Light Source
Authors: Grinter David C. , Ferrer Pilar , Venturini Federica , van Spronsen Matthijs A. , Large Alexander I. , Kumar Santosh , Jaugstetter Maximilian , Iordachescu Alex , Watts Andrew , Schroeder Sven L. M. , Kroner Anna , Grillo Federico , Francis Stephen M. , Webb Paul B. , Hand Matthew , Walters Andrew , Hillman Michael , Held Georg 
Published: March 2024

The beamline optics and endstations at branch B of the Versatile Soft X-ray (VerSoX) beamline B07 at Diamond Light Source are described. B07-B provides medium-flux X-rays in the range 45–2200 eV from a bending magnet source, giving access to local electronic structure for atoms of all elements from Li to Y. It has an endstation for high-throughput X-ray photoelectron spectroscopy (XPS) and near-edge X-ray absorption fine-structure (NEXAFS) measurements under ultrahigh-vacuum (UHV) conditions. B07-B has a second endstation dedicated to NEXAFS at pressures from UHV to ambient pressure (1 atm). The combination of these endstations permits studies of a wide range of interfaces and materials. The beamline and endstation designs are discussed in detail, as well as their performance and the commissioning process.
A systematic review of business models in healthcare: research directions for emerging and developed economies
Authors: Yadav Sunil Kumar , Singh Shiwangi , Prusty Santosh Kumar 
Published: March 2024

PurposeBusiness models (BMs) are becoming increasingly crucial for value creation in the healthcare sector. The study explores the conceptualization and application of BM concepts within the healthcare sector and investigates their evolution in emerging economies (EEs) and developed economies (DEs). This study aims to uncover these two contexts' shared characteristics and unique variances through a comparative analysis.Design/methodology/approachThe paper systematically investigates and consolidates the literature on healthcare by employing the antecedents, decisions and outcomes (ADO) framework and finally examines 71 shortlisted articles published between 2003 and 2022.FindingsThe recognition of the BM within healthcare is increasing, both in EEs and DEs. EEs prioritize value creation and capture through cost efficiency, while DEs focus on innovation. Key theories employed include a resource-based view, the network theory and the theory of innovation. Case studies are commonly used as a methodology. Further research is needed to explore the decisions and outcomes of BMs.Research limitations/implicationsThe study adopts stringent filtration and keyword criteria, potentially excluding relevant research. Future researchers are encouraged to broaden their selection criteria to encompass a more extensive range of relevant studies.Practical implicationsBeyond comparing and highlighting gaps in BMs between EEs and DEs, benchmarking DE's healthcare business models (HBMs) helps healthcare organizations in EEs align their practices, mitigate risks and establish efficient healthcare systems tailored to their specific contexts. The study adopts stringent filtration and keyword criteria, potentially excluding relevant research. Future researchers are encouraged to broaden their selection criteria to encompass a more extensive range of relevant studies.Originality/valueThe study analyzes HBMs using an SLR framework perspective and provides practical implications for academicians and practitioners to enhance their decision-making.
Evaluating the impact of material service life on embodied energy of residential villas in the United Arab Emirates
Authors: Rauf Abdul , Attoye Daniel Efurosibina , Crawford Robert H. 
Published: March 2024

PurposeRecently, there has been a shift toward the embodied energy assessment of buildings. However, the impact of material service life on the life-cycle embodied energy has received little attention. We aimed to address this knowledge gap, particularly in the context of the UAE and investigated the embodied energy associated with the use of concrete and other materials commonly used in residential buildings in the hot desert climate of the UAE.Design/methodology/approachUsing input–output based hybrid analysis, we quantified the life-cycle embodied energy of a villa in the UAE with over 50 years of building life using the average, minimum, and maximum material service life values. Mathematical calculations were performed using MS Excel, and a detailed bill of quantities with >170 building materials and components of the villa were used for investigation.FindingsFor the base case, the initial embodied energy was 57% (7390.5 GJ), whereas the recurrent embodied energy was 43% (5,690 GJ) of the life-cycle embodied energy based on average material service life values. The proportion of the recurrent embodied energy with minimum material service life values was increased to 68% of the life-cycle embodied energy, while it dropped to 15% with maximum material service life values.Originality/valueThe findings provide new data to guide building construction in the UAE and show that recurrent embodied energy contributes significantly to life-cycle energy demand. Further, the study of material service life variations provides deeper insights into future building material specifications and management considerations for building maintenance.
“Is my voicing up linked to social pain I bear”: examining the correlates of internal whistleblowing
Authors: Sethi Seep , Madan Poornima 
Published: March 2024

PurposeUndertaking the theoretical lens of “The need to belong” theory, the present study intends to explore the aftermath of internal whistleblowing and the behavioral outcomes that follow by linking it to the literature on workplace ostracism, loneliness and intentions to quit.Design/methodology/approachThe respondents were hotel employees in the Delhi NCR region of northern India. A hypothesized sequential mediation model was tested on a sample of employees from a hotel using a three-wave time-lagged multistudy design.FindingsThe findings of the study established that internal whistleblowing leads to intentions to quit via workplace ostracism and loneliness at work.Originality/valueThe unique contribution of this study lies in understanding the underlying mechanisms and discussing the behavioral outcomes that follow post-whistleblowing. HR managers need to develop a work environment that protects whistleblowers and has a zero-tolerance policy against employees engaging in any form of retaliation or unethical business practices. Managers must be more proactive and sensitive to the social cues that will make them aware of the presence of acts of ostracism. Upon encountering such acts, managers can consider counseling employees engaging in such unhealthy practices.
Working together: effects of gender composition on job satisfaction and commitment
Authors: Olafsdottir Katrin , Einarsdottir Arney 
Published: March 2024

PurposeThe purpose of this study is to estimate the effects of gender composition in the workplace on employee job satisfaction and commitment.Design/methodology/approachThe data were collected on both the organizational and employee levels at three different points in time in organizations with more than 70 employees. Multi-level mixed-effects ordered logistics regressions were used to account for the multi-level nature of the data and the ordered nature of the dependent variables.FindingsEmployees in gender-balanced workplaces show higher levels of job satisfaction and commitment than those in female-dominated or male-dominated workplaces. The relationship is also based on the gender of the individual, as men show a significantly lower level of both job satisfaction and commitment when working in male-dominated workplaces than others, while for women, the effect is only significant for commitment.Practical implicationsAiming for a balance in the gender composition of the workplace may improve employee attitudes, especially for men. The results also indicate that further research is warranted into why job satisfaction and commitment are significantly lower among men in male-dominated workplaces.Originality/valueThe relationship between gender and job satisfaction and commitment is well established, but less is known about the effects of gender composition on job satisfaction and commitment. Previous papers have focused on job satisfaction. This paper extends prior studies by estimating the effects of gender composition on both job satisfaction and commitment using multi-level regressions on a rich dataset.
Artificial intelligence for education and its emphasis on assessment and adversity quotient: a review
Authors: Mudkanna Gavhane Jyoti , Pagare Reena 
Published: March 2024

PurposeThe purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).Design/methodology/approachThe study utilizes a systematic literature review of over 141 journal papers and psychometric tests to evaluate AQ. Thematic analysis of quantitative and qualitative studies explores domains of AI in education.FindingsResults suggest that assessing the AQ of students with the help of AI techniques is necessary. Education is a vital tool to develop and improve natural intelligence, and this survey presents the discourse use of AI techniques and behavioral strategies in the education sector of the recent era. The study proposes a conceptual framework of AQ with the help of assessment style for higher education undergraduates.Originality/valueResearch on AQ evaluation in the Indian context is still emerging, presenting a potential avenue for future research. Investigating the relationship between AQ and academic performance among Indian students is a crucial area of research. This can provide insights into the role of AQ in academic motivation, persistence and success in different academic disciplines and levels of education. AQ evaluation offers valuable insights into how individuals deal with and overcome challenges. The findings of this study have implications for higher education institutions to prepare for future challenges and better equip students with necessary skills for success. The papers reviewed related to AI for education opens research opportunities in the field of psychometrics, educational assessment and the evaluation of AQ.
Revisiting university students' intention to accept AI-Powered chatbot with an integration between TAM and SCT: a south Asian perspective
Authors: Awal Md. Rabiul , Haque Md. Enamul 
Published: March 2024

PurposeThis paper aims to explore students’ intention to use and actual use of the artificial intelligence (AI)-based chatbot such as ChatGPT or Google Bird in the field of higher education in an emerging economic context like Bangladesh.Design/methodology/approachThe present study uses convenience sampling techniques to collect data from the respondents. It applies partial least squares structural equation modeling (PLS-SEM) for analyzing a total of 413 responses to examine the study’s measurement and structural model.FindingsThe results explore that perceived ease of use (PEOU) negatively affects intention to adopt AI-powered chatbots (IA), whereas university students’ perceived usefulness (PU) influences their IA positively but insignificantly. Furthermore, time-saving feature (TSF), academic self-efficacy (ASE) and electronic word-of-mouth (EWOM) have a positive and direct impact on their IA. The finding also reveals that students' IA positively and significantly affects their actual use of AI-based chatbot (AU). Precisely, out of the five constructs, the TSF has the strongest impact on students’ intentions to use chatbots.Practical implicationsStudents who are not aware of the chatbot usage benefits might ignore these AI-powered language models. On the other hand, developers of chatbots may not be conscious of the crucial drawbacks of their product as per the perceptions of their multiple users. However, the findings transmit a clear message about advantages to users and drawbacks to developers. Therefore, the results will enhance the chatbots’ functionality and usage.Originality/valueThe findings of the study alert the teachers, students and policymakers of higher educational institutions to understand the positive outcomes and to accept AI-powered chatbots such as OpenAI’s ChatGPT. Outcomes also notify the AI-product developers to boost the chatbot’s quality in terms of timeliness, user-friendliness, accuracy and trustworthiness.
CSR attribution: Is it the cornerstone of CSR success?
Authors: Hassan Hosny Sara Osama , AbdelAziz Gamal Sayed 
Published: March 2024

PurposeThe current study aims to propose and empirically investigate a conceptual model of the most relevant antecedents and consequences of Corporate Social Responsibility (CSR) attribution, thus providing a practical and concise model as well as examining brand attachment as a mediator explaining the relationship between CSR attribution and its consequences.Design/methodology/approachA between-subjects experimental design was employed. The study included two experimental conditions; intrinsic and extrinsic CSR attribution and a control condition. An online self-administered survey was utilised for data collection. The sample was a convenience sample of 336 university students. Both one-way between-groups ANOVA and Partial Least Squares-Structural Equation Modelling (PLS-SEM) were utilised for hypotheses testing.FindingsThe most significant antecedents of CSR attribution in order of importance are the firm's approach to CSR communication, past corporate social performance, CSR type and the firm's call for customers' participation in its CSR. CSR attribution exerted a significant direct positive impact on brand attachment and trust. Three significant indirect consequences of CSR attribution were PWOM intention, purchase intention and brand loyalty intention. Whereas trust played a significant mediating role between CSR attribution and its three indirect consequences, brand attachment exerted significant mediation only between CSR attribution and brand loyalty intention. Brand attachment might mediate the relationship between CSR attribution and purchase intention. However, brand attachment failed to play a mediating role between CSR attribution and PWOM intention.Originality/valueSeveral studies marginally investigated CSR attribution. Despite the vital role of CSR attribution in how consumers receive firms' CSR engagement, the availability of CSR attribution-centric studies is limited. By introducing a model of the most relevant antecedents and consequences of CSR attribution, this study aids in understanding the psychological mechanism underlying consumers' CSR attribution and provides valuable implications.
Tourists’ satisfaction with Islamic attributes of destination: a systematic mapping study
Authors: Basendwah Mohammed , Rahman Suraiyati , Al-Sakkaf Mohammed Alawi 
Published: March 2024

PurposeIn the last decade, the concept of Islamic attributes of destination (IAD) has emerged due to Muslim tourists’ need to visit a destination that complies with Sharia law. Since then, the IAD concept has been popular to increase the destination’s attractiveness and travel satisfaction for Muslim tourists. This concept evolved from evaluating the Muslim tourists’ perception of IAD to non-Muslim tourists and from assessing the Islamic attributes in Muslim-majority destinations to non-Muslim majority destinations. Furthermore, the literature showed several measurement scales to assess tourists’ satisfaction with IAD, and scholars were varied in the methods of analysis used to assess tourists’ satisfaction with IAD. The purpose of this study is to perform a systematic mapping study on satisfaction with IAD by answering five research questions.Design/methodology/approachThis study used the preferred reporting items for systematic reviews and meta-analyses framework to guide the search process and search for relevant studies between 2012 and 2022 from two scientific databases, Scopus and Web of Science.FindingsThe search revealed 387 studies. In total, 31 articles met the eligibility criteria. This study indicates the journal considered research studies on tourists’ satisfaction with IAD the most, the method of analysis used in the previous studies, the Islamic destination attributes considered in the previous studies, the research distribution by counties, the research trend and the future direction.Originality/valueTo the best of the authors’ knowledge, this is the first systematic mapping study that delivers a summary of empirical research studies on tourists’ satisfaction with IAD.
Food supply chain resilience in major disruptions
Authors: Found Pauline Anne , Mogale Dnyaneshwar , Xu Ziran , Yang Jianhao 
Published: March 2024

PurposeCorona Virus Disease (Covid-19) is a global pandemic that emerged at the end of 2019 and caused disruptions in global supply chains, particularly in the food supply chains that exposed the vulnerability of today’s food supply chain in a major disruption which provided a unique research opportunity. This review explores the current research direction for food supply chain resilience and identifies gaps for future research in preparing for future major global pandemics.Design/methodology/approachThis article presents a review of food supply chain resilience followed a systematic literature review of the business and management-based studies related to the food supply chain in Covid-19 published between December 2019 and December 2021 to identify the immediate issues and responses that need to be addressed in the event of future disruptions in food supply chains due to new global health threats.FindingsThe study revealed the need for more literature on food supply chain resilience, particularly resilience to a major global pandemic. The study also uncovered the sequence of events in a major pandemic and identified some strategies for building resilience to potential future risks of such an event.Research limitations/implicationsThe limitations of this study are apparent. Firstly, the selection of databases is not comprehensive. Due to time limitations, authoritative publishers such as Springer, Emerald, Wiley and Taylor & Francis were not selected. Secondly, a single author completed the literature quality testing and text analysis, possibly reducing the credibility of the results due to subjective bias. Thirdly, the selected literature are the studies published during the immediate event of Covid-19, and before January 2022, other research studies may have been completed but were still in the state of auditing at this time.Originality/valueThis paper is the first study that provides a detailed classification of the immediate challenges to the food supply chain faced in both upstream and downstream nodes during a major global disruption. For researchers, this clearly shows the immediate difficulties faced at each node of the food supply chain, which provides research topics for future studies.
Affective commitment in entrepreneurial students: person-oriented factors and subjective firm performance
Authors: Campos Valverde Nathalie , Leiva Juan Carlos , Mora Ronald 
Published: March 2024

Purpose
This study aims to address the effects of self-esteem and affective commitment on firm performance and whether these effects vary according to the gender and age of active entrepreneurial students.

Design/methodology/approach
This study uses a subsample from the Global University Entrepreneurial Spirit Students’ Survey (GUESSS) of entrepreneur students running their own businesses to perform a structural equation model (SEM) analysis to test the relationship between self-esteem (SE), affective commitment (AC) and firm performance (FP) moderated by the gender and age of entrepreneur students.

Findings
The results confirm that higher levels of entrepreneur SE are related to a higher assessment of AC and FP. A major effect of SE on AC was also observed among male respondents. Age was not related to an increase in AC. The effect of SE on AC and FP was lower among older students.

Originality/value
This study makes valuable contributions to the fields of entrepreneurship, psychology, gender and organizational behavior. This study presents empirical support for the theoretical framework using SEM, presenting initial insights into the mechanisms that shape AC in entrepreneurial students and its implications for FP.