bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diagnostic Performances of GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro in “Diagnosis Please” Cases
Authors: Sonoda Yuki , Kurokawa Ryo , Nakamura Yuta , Kanzawa Jun , Kurokawa Mariko , Ohizumi Yuji , Gonoi Wataru , Abe Osamu 
Published: May 2024

AbstractBackgroundsLarge language models (LLMs) are rapidly advancing and demonstrating high performance in understanding textual information, suggesting potential applications in interpreting patient histories and documented imaging findings. LLMs are advancing rapidly and an improvement in their diagnostic ability is expected. Furthermore, there has been a lack of comprehensive comparisons between LLMs from various manufacturers.PurposeWe tested the diagnostic performance of the latest three major LLMs (GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro) usingRadiologyDiagnosis Please cases, a monthly diagnostic quiz series for radiology experts.Materials and MethodsClinical history and imaging findings as provided textually by the case submitters were extracted from 324 quiz questions fromRadiologyDiagnosis Please cases. The GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro generated the top three differential diagnoses. Diagnostic performance among the three LLMs were compared using Cochrane’s Q and post-hoc McNemar’s tests.ResultsThe diagnostic accuracies for the primary diagnosis were 41.0%, 54.0%, and 33.9% for GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro, respectively. When considering the accuracy of any of the top three differential diagnoses, the rates improved to 49.4%, 62.0%, and 41.0%, respectively. Significant differences in diagnostic performance were observed among all pairs of the models.ConclusionIn a comparison of the latest LLMs, Claude 3 Opus outperformed GPT-4o and Gemini 1.5 Pro in solving radiology quiz cases. These models appear capable of assisting radiologists when supplied with accurate evaluations and worded descriptions of imaging findings by radiologists.Summary statementClaude 3 Opus achieved the highest diagnostic accuracy, followed by GPT-4o and Gemini 1.5 Pro, in a comparison of their performance on 324 text-basedRadiologyDiagnosis Please cases..Key ResultsThis study compared the diagnostic performances of the latest three major large language models, GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro, using clinical history and textualized imaging findings inRadiologyDiagnosis Please cases.The top three differential diagnoses generated by GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro achieved diagnostic accuracies of 49.4%, 62.0%, and 41.0%, respectively, with statistically significant differences between each model’s performance.
Lifestyle patterns in the Peruvian population: analysis of tobacco, alcohol and fruit/vegetable consumption based on a nine-year national survey
Authors: Vera-Ponce Víctor Juan , Zuzunaga-Montoya Fiorella E. , Vásquez-Romero Luisa Erika Milagros , Loayza-Castro Joan A. , Gutierrez De Carrillo Carmen Inés , Chenet Stella M. 
Published: May 2024

AbstractIntroductionA population’s lifestyle is a factor in public health and general well-being; thus, three indicators are alcohol consumption, smoking activity, and a healthy diet.ObjectivesThe study aimed to determine the trends and factors associated with alcohol consumption, smoking activity, and fruit and vegetable consumption.MethodsThis cross-sectional study was based on the National Survey of Demography and Family Health (ENDES) database between 2014 and 2022. Smoking status was categorized as never smoker, former smoker, current smoker, and daily smoker; alcohol consumption was classified as not having consumed in the last 12 months, non-excessive consumption in the previous 30 days, and excessive consumption. Fruit and vegetable consumption was divided into whether five or more servings were consumed, and it was formed separately into three or more portions for fruit and two more portions for vegetables.ResultsThe overall prevalence of lifestyles, starting with daily smoking, excessive alcohol consumption, and consumption of fewer than five portions of fruits and vegetables per day, are 1.55%, 3.06%, and 91.02%, respectively. Significant differences were found between each of them in terms of age, sex, and socioeconomic status.ConclusionsThe current study observed slight changes in the prevalence of daily and current smokers. Additionally, an increase in excessive alcohol consumption in 2020, followed by a decrease in 2022, was found. The study draws attention to the troubling scarcity of fruit and vegetable intake within the population, underscoring potential health risks posed by inadequate consumption of these nutritious foods. The study not only found significant divergences in wellness practices relating to gender, age, and area but also highlighted how accounting for such elements in public health intervention strategies is paramount by emphasizing the need to consider those variances.
ConservedCis-Acting Range Extender Element Mediates Extreme Long-Range Enhancer Activity in Mammals
Authors: Bower Grace , Hollingsworth Ethan W. , Jacinto Sandra , Clock Benjamin , Cao Kaitlyn , Liu Mandy , Dziulko Adam , Alcaina-Caro Ana , Xu Qianlan , Skowronska-Krawczyk Dorota , Lopez-Rios Javier , Dickel Diane E. , Bardet Anaïs F. , Pennacchio Len A. , Visel Axel , Kvon Evgeny Z. 
Published: May 2024

AbstractWhile most mammalian enhancers regulate their cognate promoters over moderate distances of tens of kilobases (kb), some enhancers act over distances in the megabase range. The sequence features enabling such extreme-distance enhancer-promoter interactions remain elusive. Here, we usedin vivoenhancer replacement experiments in mice to show that short– and medium-range enhancers cannot initiate gene expression at extreme-distance range. We uncover a novel conservedcis-acting element,RangeEXtender (REX), that confers extreme-distance regulatory activity and is located next to a long-range enhancer ofSall1. The REX element itself has no endogenous enhancer activity. However, addition of the REX to other short– and mid-range enhancers substantially increases their genomic interaction range. In the most extreme example observed, addition of the REX increased the range of an enhancer by an order of magnitude, from its native 71kb to 840kb. The REX element contains highly conserved [C/T]AATTA homeodomain motifs. These motifs are enriched around long-range limb enhancers genome-wide, including the ZRS, a benchmark long-range limb enhancer ofShh. Mutating the [C/T]AATTA motifs within the ZRS does not affect its limb-specific enhancer activity at short range, but selectively abolishes its long-range activity, resulting in severe limb reduction in knock-in mice. In summary, we identify a sequence signature globally associated with long-range enhancer-promoter interactions and describe a prototypical REX element that is necessary and sufficient to confer extreme-distance gene activation by remote enhancers.
Brown Adipose Tissue and Skeletal Muscle Coordinately Contribute to Thermogenesis in Mice
Authors: Izumi-Mishima Yuna , Tsutsumi Rie , Shiuchi Tetsuya , Fujimoto Saori , Taniguchi Momoka , Okamatsu-Ogura Yuko , Yoneshiro Takeshi , Kuroda Masashi , Nomura Kazuhiro , Sakaue Hiroshi 
Published: May 2024

AbstractEndotherms increase the rate of metabolism in metabolic organs as one strategy to cope with a decline in temperature of the external environment. However, an additional major contributor to maintenance of body temperature in a cold environment is contraction-based thermogenesis in skeletal muscle. Here we show that impairment of hind limb muscle contraction by cast immobilization suppresses skeletal muscle thermogenesis and activates brown adipose tissue (BAT) thermogenesis as a compensatory mechanism. BAT utilizes free branched-chain amino acids (BCAAs) derived from skeletal muscle as an energy substrate for thermogenesis, and interleukin-6 released by skeletal muscle stimulates BCAA production in muscle for support of BAT thermogenesis. Our findings suggest that BAT and skeletal muscle cooperate to maintain body temperature in endotherms.
Strain patterns with ultrasound for improved assessment of abdominal aortic aneurysm vessel wall biomechanics
Authors: Lorenzen Ulver S. , Bracco Marta I. , Zielinski Alexander H. , Broda Magdalena , Avril Stéphane , Rouet Laurence , Eiberg Jonas P. ,   the COACH Research Collaborative
Published: May 2024

ABSTRACTBackgroundAbdominal aortic aneurysms (AAAs) are an important cause of death. Small AAAs are surveyed with ultrasound (US) until a defined diameter threshold, often triggering a CT scan and surgical repair. Nevertheless, 5-10 % of AAA ruptures are below threshold, and some large AAAs never rupture. AAA wall biomechanics may reveal vessel wall degradation with potential for patient-centred risk assessment. This clinical study investigated AAA vessel wall biomechanics and deformation patterns, including reproducibility.MethodsIn 50 patients with AAA, 183 video clips were recorded by two sonographers. Prototype software extracted AAA vessel wall principal strain characteristics and patterns. Functional principal component analysis (FPCA) derived strain pattern statistics.ResultsStrain patterns demonstrated reduced AAA wall strains close to the spine. The strain pattern ‘topography’ (i.e., curve phases or ‘peaks’ and ‘valleys’) had a 3.9 times lower variance than simple numeric assessment of strain amplitudes, which allowed for clustering in two groups with FPCA. A high mean reproducibility of these clusters of 87.6 % was found. Median pulse pressure-corrected mean principal strain (PPPS) was 0.038 %/mmHg (interquartile range: 0.029 to 0.051 %/mmHg) with no correlation to AAA size (Spearman’s ρ = 0.02, FDR-P = 0.15). Inter-operator reproducibility of PPPS was poor (limits of agreement: ±0.031 %/mmHg).DiscussionStrain patterns challenge previous numeric stiffness measures based on AP-diameter and are reproducible for clustering. This study’s PPPS aligned with prior findings, although clinical reproducibility was poor. In contrast, US-based strain patterns hold promising potential to enhance AAA risk assessment beyond traditional diameter-based metrics.
Game on: a systematic exploration of gamification in logistics and supply chain management
Authors: Khan Mohd Ziyauddin , Kumar Ashwani , Singh Harshit Kumar , Ashraf Syed Abdullah 
Published: May 2024

Purpose
This study systematically reviews the existing literature on the application of gamification in logistics and supply chain management (LSCM). This study aims to categorise the literature in various logistics and supply chain domains, to conceptualise the gamification framework pertinent in the context of LSCM and to provide a research agenda for scholars in the area.

Design/methodology/approach
The study’s methodology adopts the Preferred Reporting Items for Systematic Review and Meta-Analysis framework to conduct a systematic literature review. Forty relevant papers published from 2012 to 2023 are included in the analysis.

Findings
Augmented reality, blockchain, education, sustainability and warehousing have been identified as the key focus areas in which gamification is applied. Furthermore, the paper highlights different research approaches used to study these domains, maps the literature with gamification constructs (affordances, psychological outcomes and behavioural outcomes) and provides potential research avenues for future scholars.

Research limitations/implications
This review offers evidence of the impact of gamification on workforce dynamics, employee motivation, job satisfaction, trust, employee engagement and productivity. The study significantly contributes to the academic community by offering a conceptual framework and meaningful avenues for future researchers.

Originality/value
This research work contributes to the gamification, logistics and supply chain literature by providing a more comprehensive and methodical knowledge of the field. This study adds to the body of knowledge by offering a reference framework for future scholars based on a synthesis of the studies published so far in the area.
An assessment of top managers’ commitment to business performance: a case study of the coffee processing industry in Guji Zone, Ethiopia
Authors: Warie Gemechu Hotessa , Bariso Elfneh Udessa , Huluka Admassu Tesso 
Published: May 2024

PurposeThis study aimed to analyze top management commitment to business performance in the context of coffee processing firms in Guji Zone, Ethiopia.Design/methodology/approachThe study was conducted on coffee processing firms in Guji Zone, Ethiopia, using a mixed approach with a descriptive and explanatory design. A systematic, simple random sampling technique was used to draw a sample. A total of 345 respondents were actively involved in the survey. Descriptive and inferential statistics were applied to analyze the data through SPSS-20.FindingsThe results indicate that members of top management in the sector were committed to promoting their business performance. The findings of the study also reveal that top management commitment has significant and positive effects on the overall business performance of coffee processing firms.Research limitations/implicationsThe study was limited to the coffee processing industry and generalization of the results to other sectors may be questionable. Similarly, the study was presented using primary data only. Thus, future researchers will be advised to strengthen their findings using the secondary data.Practical implicationsThe study’s implications have contributed to theoretical, practical and managerial perspectives. The findings validate and refine existing theories, provide practical insights for coffee processing firms and offer guidance for managerial decision-making and leadership development.Originality/valueUp to the time of the authors' literature review, no study with a similar topic on coffee processing firms in the Guji Zone was found and it is believed to be the first literature evidence for future researchers.
Impact of credit expansion and contraction on unemployment
Authors: Ozili Peterson , Oladipo Olajide 
Published: May 2024

PurposeWe investigate the impact of private credit expansion and contraction on the unemployment rate in Economic Community of West African States (ECOWAS) countries.Design/methodology/approachCredit expansion and contraction are measured using a three-level criterion. The fixed effect panel regression model was used to estimate the impact of private credit contraction and expansion on the unemployment rate in ECOWAS countries.FindingsPrivate credit contraction significantly increases the unemployment rate in ECOWAS countries. Private credit expansion does not have a significant effect on the unemployment rate. Real GDP growth has a significant negative effect on the unemployment rate which supports the prediction of the Okun’s Law while the inflation rate has a positive and insignificant effect on the rate of unemployment in ECOWAS countries which contradicts the prediction of the Phillips curve.Practical implicationsPolicymakers in ECOWAS countries need to be cautious when introducing policies that lead to private credit contraction as it could increase unemployment. Policymakers in ECOWAS countries should also find the “threshold” below which private credit contraction will worsen the unemployment rate and introduce policy measures to ensure that private credit contraction does not fall below the threshold.Originality/valueThe literature has not examined the factors leading to tight labor markets or unemployment in West African countries.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2023-0939.
CEO power and corporate tax avoidance in emerging economies: does ownership structure matter?
Authors: Dakhli Anissa 
Published: May 2024

PurposeThe purpose of this paper is to study how CEO power impact corporate tax avoidance. In particular, this paper aims to empirically examine the moderating impact of institutional ownership on the relationship between CEO power and corporate tax avoidance.Design/methodology/approachThe multivariate regression model is used for hypothesis testing using a sample of 308 firm-year observations of Tunisian listed companies during the 2013-2019 period.FindingsThe results show that CEO power is negatively associated with corporate tax avoidance and that institutional ownership significantly accentuates the CEO power’s effect on corporate tax avoidance. This implies that CEOs, when monitored by institutional investors, behave less opportunistically resulting in less tax avoidance.Practical implicationsOur findings have significant implications for managers, legislators, tax authorities and shareholders. They showed that CEO duality, tenure and ownership can mitigate the corporate tax avoidance in Tunisian companies. These findings can, hence, guide the development of future regulations and policies. Moreover, our results provide evidence that owning of shares by institutional investors is beneficial for reducing corporate tax avoidance. Thus, policymakers and regulatory bodies should consider adding regulations to the structure of corporate ownership to promote institutional ownership and consequently control corporate tax avoidance in Tunisian companies.Originality/valueThis study differs from prior studies in several ways. First, it addressed the emerging market, namely the Tunisian one. Knowing the notable differences in institutional setting and corporate governance structure between developed and emerging markets, this study will shed additional light in this area. Second, it proposes the establishment of a moderated relationship between CEO power and corporate tax avoidance around institutional ownership. Unlike prior studies that only examined the simple relationship between CEO power and corporate tax avoidance, this study went further to investigate how institutional ownership potentially moderates this relationship.
Does capital efficiency influence economic growth in Bangladesh? Application of the Harrod-Domar model
Authors: Amin Sakib Bin , Samia Bismi Iqbal , Khan Farhan 
Published: May 2024

PurposeThe main purpose of this paper is to analyse the influence of capital efficiency on the economic growth of Bangladesh using the Harrod-Domar (H-D) model.Design/methodology/approachWe use annual data from 1980 to 2019 for this paper. Three steps are taken in the data analysis. First, to check the existence of a unit root, we use the augmented Dickey-Fuller (ADF) test and to determine co-integration among the variables, we use the Johansen-Juselius co-integration test. Next, for long-run estimation, we use the dynamic ordinary least square (DOLS) estimator. The sensitivity of the long-run estimations is further checked by the fully modified OLS (FMOLS) and autoregressive distributed lag (ARDL) estimators. Lastly, we use the Granger causality test to determine the long-run causality among the variables.FindingsThe long-run co-integration test validates the co-integrating relationship among the variables. DOLS estimations reveal that the economic growth of Bangladesh is negatively associated with the incremental capital output ratio (ICOR), validating the notion that capital efficiency matters for achieving higher economic growth. On average, an increase in ICOR by a unit tends to reduce economic growth in the long term by 0.75 percent. Our results also reveal no significant relationship between savings and economic growth when the model is extended. Finally, causality results indicate unidirectional causality between ICOR and economic growth.Practical implicationsBased on the results obtained, we argue that the enhancement of capital productivity could bring efficiency because ICOR is an inverse of capital productivity. Since Bangladesh’s capital productivity is considerably low compared with other neighbouring countries, it is suggested that firms should gradually move towards technological advancement and enhance economies of scale, etc. in the long run. Moreover, policies in favour of continuous skill development programmes could be highly effective in increasing capital productivity given that capital follows a vintage structure.Originality/valueThis is the first paper to analyse the economic growth pattern of Bangladesh using the traditional H-D model by incorporating variables such as savings and ICOR and also by relaxing the assumption of time-invariant (i.e. fixed) data of the variables. Moreover, this paper extends the traditional H-D empirical model by introducing key indicators and time breaks for Bangladesh’s economy through a stepwise regression process.
Can water conscientiousness influence consumers' purchase intentions and behaviours towards sustainable apparel?
Authors: Hasan Celine Ibrahim , Saleh Selena Mohammad , AbedRabbo Majd , Obeidat Zaid , Ahmad Alaeddin 
Published: May 2024

PurposeThis research examines the effect of water conscientiousness (WC) on consumers' purchase intentions and behaviours towards sustainable apparel. Through this exploration, the research aims to show how consumers' awareness of water conservation connects with their purchase choices for sustainable apparel.Design/methodology/approachDrawing on the norm activation theory, this research developed a theoretical framework and tested it using structural equation modelling and mediation analysis. This research focuses on the unique context of Jordan, a region grappling with severe water scarcity. Data were collected using an online survey with 222 completed questionnaires retained for data analysis.FindingsThe results indicate that WC does not have a significant direct effect on purchase intentions of sustainable apparel (PISA). This finding challenges the assumption that conscientiousness towards water scarcity would drive prosocial behaviours such as purchasing sustainable apparel. However, the findings reveal a full mediation effect of perceived environmental apparel knowledge (PEAK) and perceived environmental concern (PEC) on the relationship between WC and PISA. Such a finding raises awareness of the need to develop consumers' PEAK and PEC by educating them on the importance of WC and the effect of the apparel industry on water preservation. A significant relationship exists between PISA and purchase behaviour of sustainable apparel (PBSA), affirming the role of intentions in driving sustainable purchase behaviours of consumers.Originality/valueThis study provides novel insights into the role of WC in facilitating PISA and PBSA by testing a theoretical model that incorporates various environmental factors. Likewise, it extends the geographical scope of sustainability research and underscores the importance of considering diverse environmental conditions when studying consumer behaviour. The findings provide insights for marketers and policymakers in water-scarce regions, enabling them to develop strategies to promote sustainable apparel consumption.