bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dissecting the risk factors for hyperuricemia in vegetarians in Taiwan
Authors: Chang Kai-Chieh , Huang Sin-Yi , Tsai Wen-Hsin , Liu Hao-Wen , Liu Jia-Sin , Wu Chia-Lin , Kuo Ko-Lin 
Published: February 2024

Background:
Vegetarian diets have been shown to lower the risks of hyperuricemia and gout. Little is known about the risk factors of hyperuricemia in vegetarians.

Methods:
This community-based retrospective case–control study was conducted to establish prediction models for hyperuricemia. From September 5, 2005, to December 31, 2016, 7331 adult vegetarians were recruited at Taipei Tzu Chi Hospital. Hyperuricemia was defined as a serum uric acid concentration greater than 7 mg/dL.

Results:
There were 593 (8.1%) vegetarians with hyperuricemia and 6738 (91.9%) without hyperuricemia. We stepwise built up three models for predicting hyperuricemia in vegetarians. The full model (model 3) has the highest area under the receiver operating characteristic curve (AUROC, 85.52%). Additionally, the AUROC of model 3 is 77.97% and 84.85% in vegetarians with or without prior gout history, respectively. Moreover, male gender, hyperlipidemia, body mass index, and serum albumin are independent risk factors for hyperuricemia in vegetarians. In contrast, estimated glomerular filtration rate and proteinuria are independently associated with lower risks of hyperuricemia in vegetarians.

Conclusion:
Our study revealed that risk factors for hyperuricemia, which includes clinical characteristics, account for more than 85% of discriminatory performance in Taiwanese vegetarians. This model may be helpful for monitoring and preventing hyperuricemia in the population.
Deep learning-based workflow for automatic extraction of atria and epicardial adipose tissue on cardiac computed tomography in atrial fibrillation
Authors: Kuo Ling , Wang Guan-Jie , Su Po-Hsun , Chang Shih-Ling , Lin Yenn-Jiang , Chung Fa-Po , Lo Li-Wei , Hu Yu-Feng , Lin Chin-Yu , Chang Ting-Yung , Chen Shih-Ann , Lu Chia-Feng 
Published: February 2024

Background:
Preoperative estimation of the volume of the left atrium (LA) and epicardial adipose tissue (EAT) on computed tomography (CT) images is associated with an increased risk of atrial fibrillation (AF) recurrence. We aimed to design a deep learning-based workflow to provide reliable automatic segmentation of the atria, pericardium, and EAT for future applications in the management of AF.

Methods:
This study enrolled 157 patients with AF who underwent first-time catheter ablation between January 2015 and December 2017 at Taipei Veterans General Hospital. Three-dimensional (3D) U-Net models of the LA, right atrium (RA), and pericardium were used to develop a pipeline for total, LA-EAT, and RA-EAT automatic segmentation. We defined fat within the pericardium as tissue with attenuation between −190 and −30 HU and quantified the total EAT. Regions between the dilated endocardial boundaries and endocardial walls of the LA or RA within the pericardium were used to detect voxels attributed to fat, thus estimating LA-EAT and RA-EAT.

Results:
The LA, RA, and pericardium segmentation models achieved Dice coefficients of 0.960 ± 0.010, 0.945 ± 0.013, and 0.967 ± 0.006, respectively. The 3D segmentation models correlated well with the ground truth for the LA, RA, and pericardium (r = 0.99 and p < 0.001 for all). The Dice coefficients of our proposed method for EAT, LA-EAT, and RA-EAT were 0.870 ± 0.027, 0.846 ± 0.057, and 0.841 ± 0.071, respectively.

Conclusion:
Our proposed workflow for automatic LA, RA, and EAT segmentation using 3D U-Nets on CT images is reliable in patients with AF.
Citrin deficiency due to SLC25A13 exon deletion in a Chinese infant: A case report
Authors: Liu Jialing , Lin Shuangzhu , Guan Shihui , Chen Qiandui , Wang Xinyao , He Yufei , Qi Yangfan , Feng Jinhua , Liu Yushu 
Published: February 2024

Introduction:Citrin is a calcium-bound aspartate-glutamate carrier protein encoded by the gene SLC25A13, mutations of which can cause citrin deficiency, an autosomal recessive disorder. The manifestations of citrin deficiency include neonatal intrahepatic choledeposits caused by citrin deficiency (NICCD: OMIM#605814), intermediate growth disorders and dyslipidemia caused by citrin deficiency, and citrullinemia type II (OMIM#603471) in adults. NICCD is a classical metabolic disorder that causes cholestasis in newborns.Patient concern and clinical findings:Here, we present the case of a 2-month-old male patient treated in our hospital on March 20, 2023, due to “postnatal skin xanthochromia and transaminases higher than normal values”. Since birth, the child’s skin had yellowed all over the body, and his condition did not improve after multiple medical treatments.Diagnosis/Intervention/Outcomes:The child underwent full exome gene testing at the age of 2 months and 13 days, and the results indicated heterozygous deletion of exon 3 of the SLC25A13 gene, while genetic testing of the parents revealed no gene mutations. The variant was preliminarily judged as being pathogenic according to the ACMG guidelines, and the patient was diagnosed with “citrin deficiency”. Skin yellowing eventually subsided, and liver function returned to normal without special treatment.Conclusions:Here, we report a rare case of citrin deficiency caused by a heterozygous deletion of the SLC25A13 gene. This case increases the clinical phenotypic profile of NICCD, suggesting that clinicians must be vigilant regarding such genetic metabolic diseases in the clinic for early diagnosis and treatment. NICCD should always be considered in the differential diagnosis of neonatal cholestasis.
Incidence of intraoperative hypotension in older patients undergoing total intravenous anesthesia by remimazolam versus propofol: A randomized controlled trial
Authors: Jeon Yeong-Gwan , Kim Sujin , Park Ji-Hyoung , Lee Jonghoon , Song Sang A , Lim Hyun Kyo , Song Seung Woo 
Published: February 2024

Background:
An increase in the frequency of surgeries among older individuals is observed in some countries. Hypotension is common and exaggerated in older patients and can lead to increased morbidity and mortality. Total intravenous anesthesia is commonly administered with propofol, while remimazolam has been suggested as an alternative to propofol because of advantages such as a more stable hemodynamic profile and less respiratory suppression. We conducted a single-blind, parallel-group randomized controlled trial to compare the incidence of intraoperative hypotension between patients administered with remimazolam and propofol.

Methods:
A total of 132 patients, aged between 65 to 80 years and undergoing laparoscopic cholecystectomy or transurethral resection of bladder tumors were randomly assigned to the propofol or remimazolam group with a permuted block system while being blinded to the hypnotic agent. Remifentanil was administered via target-controlled infusion in both groups, with an initial effect-site concentration of 3.0 ng/mL and titration range of 1.5 to 4.0 ng/mL intraoperatively. The primary outcome of this study was the overall incidence of hypotension during general anesthesia.

Results:
Patients in the propofol group experienced higher intraoperative hypotension than those in the remimazolam group (59.7% vs 33.3%, P = .006). Multivariate logistic regression analysis showed that remimazolam administration was associated with reduced hypotension (adjusted odds ratio, 0.34; 95% CI, 0.16–0.73). Secondary outcomes such as recovery time, delirium, and postoperative nausea and vomiting were comparable in both groups.

Conclusion:
Total intravenous anesthesia with remimazolam was associated with less intraoperative hypotension than propofol in older patients, with a comparable recovery profile.
High-resolution measurement of the electron affinity of cesium
Authors: Navarro Navarrete José E. , Nichols Miranda , Ringvall-Moberg Annie , Welander Jakob , Lu Di , Leimbach David , Kristiansson Moa K. , Eklund Gustav , Raveesh Meena , Chulkov Ruslan , Zhaunerchyk Vitali , Hanstorp Dag 
Published: February 2024

Negative ions are unique quantum systems where electron correlation plays a decisive role in determining their properties. The lack of optically allowed transitions prevents traditional optical spectroscopy and the electron affinity is, therefore, for most elements, the only atomic quantity that can be determined with high accuracy. In this work, we present a high-precision experimental determination of the electron affinity of cesium. A collinear laser-ion beam apparatus was used to investigate the partial photodetachment cross section for the cesium anion, leaving the neutral atom in the 6p 2P3/2 excited state. A resonance ionization scheme was used to obtain final-state selectivity, which enabled the investigation of a sharp onset of the cross section associated with a Wigner s-wave threshold behavior. The electron affinity was determined to be 0.4715983(38)eV.

Published by the American Physical Society
2024
Risks and financial performance of Indian banks: a cursory look at the COVID-19 period
Authors: Goswami Anju , Malik Pooja 
Published: February 2024

PurposeThe novel coronavirus (COVID-19) has caused financial stress and limited their lending agility, resulting in more non-performing loans (NPLs) and lower performance during the II wave of the coronavirus crisis. Therefore, it is essential to identify the risky factors influencing the financial performance of Indian banks spanning 2018–2022.Design/methodology/approachOur sample consists of a balanced panel dataset of 75 scheduled commercial banks from three different ownership groups, including public, private and foreign banks, that were actively engaged in their operations during 2018–2022. Factor identification is performed via a fixed-effects model (FEM) that solves the issue of heterogeneity across different with banks over time. Additionally, to ensure the robustness of our findings, we also identify the risky drivers of the financial performance of Indian banks using an alternative measure, the pooled ordinary least squares (OLS) model.FindingsEmpirical evidence indicates that default risk, solvency risk and COVAR reduce financial performance in India. However, high liquidity, Z-score and the COVID-19 crisis enhance the financial performance of Indian banks. Unsystematic risk and systemic risk factors play an important role in determining the prognosis of COVID-19. The study supports the “bad-management,” “moral hazard” and “tail risk spillover of a single bank to the system” hypotheses. Public sector banks (PSBs) have considerable potential to achieve financial performance while controlling unsystematic risk and exogenous shocks relative to their peer group. Finally, robustness check estimates confirm the coefficients of the main model.Practical implicationsThis study contributes to the knowledge in the banking literature by identifying risk factors that may affect financial performance during a crisis nexus and providing information about preventive measures. These insights are valuable to bankers, academics, managers and regulators for policy formulation. The findings of this paper provide important insights by considering all the risk factors that may be responsible for reducing the probability of financial performance in the banking system of an emerging market economy.Originality/valueThe empirical analysis has been done with a fresh perspective to consider unsystematic risk, systemic risk and exogenous risk (COVID-19) with the financial performance of Indian banks. Furthermore, none of the existing banking literature explicitly explores the drivers of the I and II waves of COVID-19 while considering COVID-19 as a dependent variable. Therefore, the aim of the present study is to make efforts in this direction.
Mapping the research landscape of vocational education and entrepreneurship: insights and future directions
Authors: Raj Vijay Amrit , Jasrotia Sahil Singh , Rai Siddharth Shankar 
Published: February 2024

PurposeVocational education and entrepreneurship are constantly increasing in research fields. However, what is the current state of vocational education and entrepreneurial research? Where will the area go next? These questions are still unanswered; thus, this study tries to map the research landscape of the study area to get insights and provide directions for future research.Design/methodology/approachThis research collected extant literature on vocational education and entrepreneurship using Scopus scientific database. Bibliometric analysis has been performed to extract insights from 175 documents published in the study area. Content analysis on the extant literature has also been committed to getting contextual information and developing an integrated research framework for future researchers.FindingsThe bibliometric analysis revealed that training, career choice, curriculum, self-employment, student psychology, better job opportunity, learning environment and innovation are the most discussed in the vocational education and entrepreneurship literature. Developed nation’s strong presence, indicated by the number of publications in the field.Originality/valueThis study significantly contributes to entrepreneurship by disclosing advances in the literature and some of the most active research fronts in this sector, delivering insights that have yet to be wholly appreciated or appraised. The study also developed an integrated framework that could benefit various vocations, education and entrepreneurship stakeholders.
Case-based activities for risk management education
Authors: Prakash Anand , Ambekar Sudhir 
Published: February 2024

PurposeThis study aims to describe the fundamentals of teaching risk management in a classroom setting, with an emphasis on the learning interface between higher education and the workplace environment for business management students.Design/methodology/approachThe study reviews literature that uses spreadsheets to visualize and model risk and uncertainty. Using six distinct case-based activities (CBAs), the study illustrates the practical applications of software like Palisade @RISK in risk management education. It helps to close the gap between theory and practice. The software assists in estimating the likelihood of a risk event and the impact or repercussions it will have if it occurs. This technique of risk analysis makes it possible to identify the risks that need the most active control.Findings@RISK can be used to create models that produce results to demonstrate every potential scenario outcome. When faced with a choice or analysis that involves uncertainty, @RISK can be utilized to enhance the perspective of what the future might contain.Originality/valueThe insights from this study can be used to develop critical thinking, independent thinking, problem-solving and other important skills in learners. Further, educators can apply Bloom’s taxonomy and the problem-solving taxonomy to help students make informed decisions in risky situations.
Refocusing digital entrepreneurship: an updated overview of the field, emerging opportunities and challenges
Authors: Olan Femi , Troise Ciro , Damij Nadja , Newbery Robert 
Published: February 2024

PurposeExisting research of modern literature have shown that the phenomenon of digital entrepreneurship is lacking in robust theoretical foundations on several occasions. This article is a comprehensive literature study that focuses on the phenomena of digital entrepreneurship and offers views on the subject to provide insights into recent advancements in the area.Design/methodology/approachIn order to achieve a conception of the phenomena, using the PRISMA flow chart, the significant findings were organised into themes, contexts and approaches. A comprehensive evaluation of the relevant previous research was carried out. Both the Web of Science and Scopus were utilised to locate, extract, select and evaluate relevant papers based on the keywords found during the search. In the end, papers from 92 different publications that are indexed by SSCI were chosen for this investigation.FindingsThis comprehensive literature analysis was to identify current research routes on digital entrepreneurship. In conclusion, this study generates outcomes that describe the process by which digital entrepreneurship are recognised and discussed: digital business models; digital entrepreneurship process; platform tactics; technology adoption; entrepreneurship and digital business.Originality/valueBy setting the framework for additional research development and motivating scholars to pursue this issue, the study contributes to the understanding of the conceptualisation of digital entrepreneurship.
Follow the leader (or not): the influence of superstars on crowd size in crowdsourcing contests
Authors: Liu Zhongzhi , Lai Fujun , Yin Qiaoyi 
Published: February 2024

PurposeAs the application of crowdsourcing contests grows, leveraging the participation of superstars (i.e. solvers who have outstanding performance records in a crowdsourcing platform) becomes an emergent approach for managers to solve crowdsourced problems. Although much is known about superstars’ performance implications, it remains unclear whether and how their participation affects the size of a contest crowd for a crowdsourcing contest. Based on social contagion theory, this paper aims to examine the impact of superstars’ participation on the crowd size and studies how this impact varies across solvers with different heterogeneity in terms of skills, exposure and cultural proximity with superstars in crowdsourcing contests.Design/methodology/approachThis paper uses secondary data from one crowdsourcing platform that includes 6,587 innovation contests to examine superstars’ main and contextual effects on the crowd size of a contest.FindingsOur results reveal that superstars’ participation positively affects the crowd size of a contest in general. This finding suggests that social contagion is a fundamental mechanism underlying crowd formation in crowdsourcing contests. Our results also indicate that in contests that involve multiple superstars, superstars’ effect on crowd size becomes negative when we simultaneously consider other solvers’ heterogeneity in terms of skills, exposure and cultural background, and this negative effect will be intensified by increases in the skill gap, extent of exposure and cultural proximity between superstars and other solvers in the same contest.Originality/valueOur research enhances the understanding of the influence of superstars and the mechanism underlying the emergence of contest crowds in crowdsourcing contests and contributes knowledge to better understand social contagion in a competitive setting. The results are meaningful for sourcing managers and platform supervisors to design contests and supervise crowd size in crowdsourcing contests.
User profiling for Chinese super-new generation wine consumers based on improved density peak clustering algorithm
Authors: Feng Yumeng , Mu Weisong , Li Yue , Liu Tianqi , Feng Jianying 
Published: February 2024

PurposeFor a better understanding of the preferences and differences of young consumers in emerging wine markets, this study aims to propose a clustering method to segment the super-new generation wine consumers based on their sensitivity to wine brand, origin and price and then conduct user profiles for segmented consumer groups from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences.Design/methodology/approachWe first proposed a consumer clustering perspective based on their sensitivity to wine brand, origin and price and then conducted an adaptive density peak and label propagation layer-by-layer (ADPLP) clustering algorithm to segment consumers, which improved the issues of wrong centers' selection and inaccurate classification of remaining sample points for traditional DPC (DPeak clustering algorithm). Then, we built a consumer profile system from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences for segmented consumer groups.FindingsIn this study, 10 typical public datasets and 6 basic test algorithms are used to evaluate the proposed method, and the results showed that the ADPLP algorithm was optimal or suboptimal on 10 datasets with accuracy above 0.78. The average improvement in accuracy over the base DPC algorithm is 0.184. As an outcome of the wine consumer profiles, sensitive consumers prefer wines with medium prices of 100–400 CNY and more personalized brands and origins, while casual consumers are fond of popular brands, popular origins and low prices within 50 CNY. The wine sensory attributes preferred by super-new generation consumers are red, semi-dry, semi-sweet, still, fresh tasting, fruity, floral and low acid.Practical implicationsYoung Chinese consumers are the main driver of wine consumption in the future. This paper provides a tool for decision-makers and marketers to identify the preferences of young consumers quickly which is meaningful and helpful for wine marketing.Originality/valueIn this study, the ADPLP algorithm was introduced for the first time. Subsequently, the user profile label system was constructed for segmented consumers to highlight their characteristics and demand partiality from three aspects: demographic characteristics, consumers' eating habits and consumers' preferences for wine attributes. Moreover, the ADPLP algorithm can be considered for user profiles on other alcoholic products.
Experimental drought reduces the productivity and stability of a calcareous grassland
Authors: Jackson J. , Middleton S. L. , Lawson C. S. , Jardine E. , Hawes N. , Maseyk K. , Salguero‐Gómez R. , Hector A. 
Published: February 2024

Abstract

Grasslands, which encompass 40% of terrestrial ecosystems, hold global significance for food production, carbon storage and other ecosystem services. However, grasslands across the biosphere are becoming increasingly exposed to both wet and dry precipitation extremes resulting from climate change.

Therefore, understanding how grasslands will respond to precipitation extremes is a pressing issue for managing changes to biodiversity and ecosystem service provision.

Here, we use experimental manipulations of precipitation (50% increase and 50% decrease in growing‐season precipitation) over 6 years to investigate the stability and resistance of both productivity and community diversity in a calcareous grassland community.

We found that decreased growing‐season precipitation led to reductions in mean productivity (25% decrease in peak above‐ground biomass) and its temporal stability (54% increase in the coefficient of variation of biomass across years). Productivity losses were more pronounced for graminoids and legumes, but this was not reflected in species per cent cover. Community composition was resistant to the precipitation manipulations, with no clear differences in overall community compositional turnover, dissimilarity or biodiversity indices. There was also no detectible effect of increased precipitation on productivity or community composition, which may indicate a lack of efficacy of the irrigation treatment in increasing soil moisture. Finally, the precipitation manipulations had no effect on temporal trends of community change, with an overall increase in richness and shift in grassland community composition across the study period independent of treatment.

Synthesis. While the diversity and composition of this calcareous grassland was resistant to precipitation extremes (at least in the short term), sustained reductions in growing‐season precipitation reduced productivity and its temporal stability, particularly for graminoids and legumes. Therefore, we highlight that different properties of grasslands can vary in their responses to changes in precipitation.