bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factor structure and psychometric properties of the Chinese version of the Intuitive Exercise Scale for young adults
Authors: Shi Dongzhe , Lv Fangyan , Tan Jingbin , Gao Dingguo 
Published: February 2025

BackgroundThe Intuitive Exercise Scale (IEXS) is a scale designed to evaluate the positive relationship with exercise, including their ability to tune in to bodily cues, maintain mindfulness while moving, and utilize diverse movement patterns. As that the psychometric properties of the IEXS have not been thoroughly established across cultures and various age groups, the purpose of this study is to evaluate the applicability of the translated IEXS among young Chinese adults.MethodsWe translated and culturally adapted the IEXS for a sample of 630 Chinese young adults (M = 19.61 SD = 1.13) who agreed to complete the scale online. The psychometric evaluation included item analysis, exploratory and confirmatory factor analysis (EFA and CFA), and assessments of reliability, predictive validity, and criterion validity.ResultsThe mean IEXS score was 47.23 (SD = 7.28), and EFA identified four latent constructs: emotional exercise, exercise rigidity, body trust, and mindful exercise. The CFA confirmed the model’s fit (CFI = 0.98; SRMR = 0.06). Item-total correlations ranged from 0.639 to 0.753, with item loadings between 0.635 and 0.760. Also, the reliability metrics demonstrated strong internal consistency (Cronbach’s α = 0.869) and test–retest stability (ICC = 0.721, p &lt; 0.01). Predictive validity was confirmed through significant correlations with the Physical Activity Rating Scale (PARS-3), and criterion validity showed moderate correlations (0.342–0.615) with validated scales.ConclusionThe Chinese IEXS is a robust and valid tool for assessing intuitive exercise tendencies in Chinese young adults.
The risk of developing depression in tuberculosis survivors: a nationwide cohort study in South Korea
Authors: Kim Hyun Soo , Jung Jin Hyung , Han Kyungdo , Kim Hyewon , Jeon Hong Jin 
Published: February 2025

BackgroundDespite a high tuberculosis incidence in Korea, the association between tuberculosis and depression remains underexplored. This study aims to assess depression risk in tuberculosis survivors.MethodsUtilizing South Korea’s National Health Insurance Sharing Service (NHISS) database, we conducted a gender-age-matched analysis comparing depression risk between tuberculosis survivors and the general population.ResultsThis study included 137,996 participants, of whom 34,499 had tuberculosis history, and 103,497 age- and sex-matched individuals were selected as the control group. The risk of developing depression was higher in tuberculosis survivors than in the control group (aHR 1.20, 95% CI 1.15-1.25). In men, the risk of developing depression was 1.32 times (95% CI 1.25-1.39) compared with 1.05 times (95% CI 0.98-1.12) in women. Those taking para-aminosalicylate, cycloserine, and prothionamide had a higher risk of developing depression compared to those using other anti-tuberculosis drugs, with the risk ratio ranging from 1.27 to 1.61.ConclusionTuberculosis survivors had a higher risk of developing depression compared to the control group. Although the prevalence of depression was higher in women compared to men, the risk of developing depression was higher in male tuberculosis survivors than in the control group, in contrast to the findings in women. The risk of developing depression in tuberculosis survivors differed depending on the anti-tuberculosis drug used and was mainly high in most of the second-line anti-tuberculosis drugs.
Translation and validation of the Arabic version of the Chronic Illness Anticipated Stigma Scale in Saudi patients with multiple sclerosis
Authors: Alhujaili Naseem A. , Alsulami Salhah S. 
Published: February 2025

BackgroundAnticipated stigma is associated with experiences of enacted stigma or discrimination from others in the past or the present based on one’s chronic illness. People diagnosed with chronic diseases report experiencing significant stigma from others, including social rejection from friends and family members, work termination from employers, and poor care from healthcare providers. The aim of this paper was to explain the translation procedure and the psychometric evaluation of the Arabic language version of the Chronic Illness Anticipated Stigma Scale (CIASS), which was designed and evaluated psychometrically in different countries and languages.MethodsThe Arabic version of the CIASS was given to 222 patients with multiple sclerosis (MS). Cronbach’s alpha was used to assess the internal consistency of the measured questionnaire. Structural equation modeling with confirmatory factor analysis using the maximum likelihood method was applied to evaluate the CIASS questionnaire in order to assess its factorial structure and validity for patients suffering from MS.ResultsThe Arabic version of CIASS is shown to have high reliability (Cronbach’s α = 0.89) and structural validity.ConclusionThe Arabic version of CIASS is a valid and reliable tool for the assessment of anticipated stigma among patients with MS. The use of this tool in the clinical setting can help to identify the source of stigma and guide its management accordingly. However, further validation studies among patients with different chronic illnesses are required.
Construction and evaluation of leukemia suicide risk predictive model based on SEER database
Authors: Zheng Shan , Tong Yuxin , Chen Jiayi , Yang Linlin , Tan Yamin 
Published: February 2025

BackgroundA marked increase in suicide rate has been detected among individuals diagnosed with leukemia. Our research aimed to develop a predictive model intended for assessing the suicide risk in leukemia patients. This novel tool aims to optimize the process of pinpointing individuals at high risk within clinical environments, thereby guaranteeing the timely provision of targeted intervention strategies.MethodsBetween 2000 and 2020, our study involved a cohort of 194584 leukemia patients, extracted from the Surveillance, Epidemiology, and End Results (SEER) database. These patients were randomly stratified into distinct training and validation cohorts. We utilized the Cox proportional hazards model to screen for influential variables and construct a predictive nomogram within the training set. The concordance index (C-index) and receiver operating characteristic (ROC) curves were employed to evaluate model’s discrimination, and calibration curves was used to assess the calibration ability. Furthermore, the validation set was utilized to conduct an internal validation process to ensure the robustness of nomogram.ResultsAge, gender, race, residence, marital status, and histologic type were selected to construct the nomogram for predicting suicide risk of leukemia patients. In the training and validation sets, the C-indexes were 0.798 and 0.776, respectively. The calibration plots demonstrated a significant agreement between the predicted and actual outcomes. Ultimately, leukemia patients were divided into two groups, and Kaplan-Meier curves showed significant differences in the high- and low-risk groups, as confirmed in the validation set.ConclusionsWe have successfully developed an intuitive and robust predictive model for assessing the suicide risk among leukemia patients. This model holds the potential to contribute to the reduction of preventable deaths.
Organizational factors behind low sickness absence in Swedish municipalities—An explorative qualitative study
Authors: Stöllman Åsa , Stoetzer Ulrich , Svartengren Magnus , Molin Fredrik 
Published: February 2025

IntroductionThis study explores organizational factors that contributes to low sickness absence in Swedish municipalities.MethodsA qualitative, explorative design was used, including semi-structured individual interviews with 63 managers across 12 municipalities with either high or low sickness absence. Interviews were conducted with Human resources managers, Administration managers and Unit managers in senior care and schools.ResultsThe results revealed that municipalities with low sickness absence demonstrate leadership practices that emphasize proximity and accessibility, promote employee development, integrate systematic work environment management, including employee participation into daily routines. Additionally, an open and effective communication was identified as a crucial factor in fostering sustainable organizations. The results show that municipalities with lower sickness absence rates tend to have more sophisticated organizational strategies, especially in clear and manageable areas, it requires strategic planning and well-defined structures.DiscussionA recurring theme in the analysis is the proximity and interconnectedness observed in leadership, communication, and employee participation, with leaders that show a high degree of involvement in day-to-day activities. This “proximity principle,” emerges as a potential significant factor influencing health outcomes in working life.
Measurement of the operational efficiency of tertiary public hospitals in Western China: evidence from Guangxi from 2019 to 2022
Authors: Huang Junjie , Yuan Haitao , Wu Yanlong , Wang Huiyu , Liu Xinwen , Wei Bo , Zhang Mengjian , Zhu Pinghua 
Published: February 2025

ObjectiveThe continuous increase in health care costs and the growing demand for health services among residents make it an urgent priority to improve the operational efficiency of the health system in Chinese society. In this study, data on the operational efficiency of tertiary public hospitals in Guangxi were analyzed to identify issues in hospital management within the context of performance assessment, which thereby enhanced the social service capacity of hospitals.MethodsA comprehensive evaluation index system was constructed based on the “national monitoring indicators” of operational efficiency. The indicators were analyzed using data envelopment analysis with Banker, Charnes and Cooper (DEA-BCC) and Malmquist index models. The Tobit regression model was used to analyze the major factors affecting the efficiency of public hospitals.ResultsBetween 2019 and 2022, the pure technical efficiency (PTE) of 61 tertiary public hospitals in Guangxi remained at a relatively high level. The results of the Malmquist index showed a downward trend. The technical progress (TC) indicator became the main factor affecting the decline in the operational efficiency of hospitals. Tobit regression analysis revealed that plenty of factors exerted a significant impact on the operating efficiency of hospitals. These factors included the number of beds, the ratio of outpatient and inpatient patients relative to total patient numbers, the proportion of discharged patients undergoing surgery among total patients, business expenditures and total annual revenue.ConclusionThe scale of tertiary public hospitals in Guangxi is prominently unreasonable. It is necessary to raise the efficiency of resource utilization. The operation and management situation is not optimistic. Hospitals should accelerate the transformation of their development model, rationally allocate medical resources and shift from scale expansion to the improvement of quality and efficiency. Meanwhile, they should actively participate in establishing the hierarchical medical treatment system, controlling operating costs and reasonably increasing the proportion of personnel expenses to improve operational and management efficiency.
Gender equality among medical and dental academic researchers in West Africa: a theoretical analysis of a compendium of research
Authors: Foláyan Moréniké Oluwátóyìn , Gascón-Catalán Ana , Martínez-Pérez Guillermo Z. 
Published: February 2025

BackgroundThis study conducted theoretical analyses of the findings of a study on gender disparities in research productivity and leadership in medical and dental research institutions in Nigeria. The aim was to highlight the connectedness of the study findings, and to develop a conceptual framework that can inform future studies on gender equity in academia across West Africa.MethodsA content analysis of the research outputs was conducted using four theoretical frameworks to assess the alignment of the study findings with gender equality goals. The research examined policy effectiveness and institutional practices using the 2008 USAID Gender Equality Framework; analyzed how personal traits, societal expectations, and organizational practices intersect using Fagenson's Theory of Gender and Career Development; uncovered gendered power dynamics and inform strategies for institutional reform using the Feminist Institutionalism Analytical Lens; and shed light on disparities in mentorship, collaboration, and academic publishing using the Academic Literacies Theory.ResultsThe key domains influencing gender inequality and requiring targeted actions are: first, the patriarchal societal, cultural, and religious values that shape gender roles, restricting women's career advancement. Second, institutional policies and organizational culture that limits female leadership and research productivity. Third, individual and generational perspectives influence advocacy, with younger individuals recognizing inequality more readily. Research productivity and leadership disparities can be addressed through mentorship and training programs for early-career researchers that foster the development of gender-sensitive advocates. The developed conceptual framework outlines three core research and action domains—societal, institutional, and individual factors—and their sub-factors, alongside targeted interventions influencing gender inequality, proposed targeted recommendations and expected outcomes.ConclusionsThe findings emphasize the multifaceted nature of gender disparities. Strategic actions are needed to address the issues that foster gender equality in medical and dental research institutions, and to support female researchers in West Africa. These actions should focus on the younger generations to drive needed changes.
Comparison of radiological interpretation made by veterinary radiologists and state-of-the-art commercial AI software for canine and feline radiographic studies
Authors: Ndiaye Yero S. , Cramton Peter , Chernev Chavdar , Ockenfels Axel , Schwarz Tobias 
Published: February 2025

IntroductionAs human medical diagnostic expertise is scarcely available, especially in veterinary care, artificial intelligence (AI) has been increasingly used as a remedy. AI's promise comes from improving human diagnostics or providing good diagnostics at lower cost, increasing access. This study analyzed the diagnostic performance of a widely used AI radiology software vs. veterinary radiologists in interpreting canine and feline radiographs. We aimed to establish whether the performance of commonly used AI matches the performance of a typical radiologist and thus can be reliably used. Secondly, we try to identify in which cases AI is effective.MethodsFifty canine and feline radiographic studies in DICOM format were anonymized and reported by 11 board-certified veterinary radiologists (ECVDI or ACVR) and processed with commercial and widely used AI software dedicated to small animal radiography (SignalRAY®, SignalPET® Dallas, TX, USA). The AI software used a deep-learning algorithm and returned a coded abnormal or normal diagnosis for each finding in the study. The radiologists provided a written report in English. All reports' findings were coded into categories matching the codes from the AI software and classified as normal or abnormal. The sensitivity, specificity, and accuracy of each radiologist and the AI software were calculated. The variance in agreement between each radiologist and the AI software was measured to calculate the ambiguity of each radiological finding.ResultsAI matched the best radiologist in accuracy and was more specific but less sensitive than human radiologists. AI did better than the median radiologist overall in low- and high-ambiguity cases. In high-ambiguity cases, AI's accuracy remained high, though it was less effective at detecting abnormalities but better at identifying normal findings. The study confirmed AI's reliability, especially in low-ambiguity scenarios.ConclusionOur findings suggest that AI performs almost as well as the best veterinary radiologist in all settings of descriptive radiographic findings. However, its strengths lie more in confirming normality than detecting abnormalities, and it does not provide differential diagnoses. Therefore, the broader use of AI could reliably increase diagnostic availability but requires further human input. Given the unique strengths of human experts and AI and the differences in sensitivity vs. specificity and low-ambiguity vs. high-ambiguity settings, AI will likely complement rather than replace human experts.
Current Updates on Limosilactobacillus reuteri: Brief History, Health Benefits, Antimicrobial Properties, and Challenging Applications in Dairy Products
Authors: Lima Emília Maria França , Soutelino Maria Eduarda Marques , Silva Adriana Cristina de Oliveira , Pinto Uelinton Manoel , Todorov Svetoslav Dimitrov , Rocha Ramon da Silva 
Published: February 2025

This study aims to clarify the use of Limosilactobaillus reuteri (Lmb. reuteri) in dairy products, emphasizing its main characteristics and limitations through a comprehensive literature review. Lmb. reuteri, previously classified as Lactobacillus reuteri, is a lactic acid bacterium (LAB) generally present in the gastrointestinal tracts of humans and other animals, such as sheep, chickens, and rodents. Lmb. reuteri was reclassified as part of the genus Limosilactobacillus in April 2020, reflecting advancements in biomolecular research that identified distinct metabolic and biochemical characteristics among strains. This species is an important producer of reuterin, an antimicrobial compound facilitated through glycerol fermentation via specific enzymatic pathways. In addition, selected strains of Lmb. reuteri can be considered probiotic bacteria with numerous health benefits and that lead to well-being improvements. It is consistently related to improvements in gut health, immune function enhancement, and cholesterol reduction. Furthermore, its application in dairy products has gained prominence and is increasingly reported in the literature due to its technological and sensory benefits. Despite the challenges of its incorporation into the dairy matrix, largely due to the need to supplement these products, it has already demonstrated significant effects on several dairy products’ technological, sensory, and quality characteristics. Future research should address challenges like strain-specific efficacy and regulatory hurdles for the application of Lmb. reuteri in foods.
Совместное окисление куриного помета и бурого угля в сверхкритической воде в проточном режиме
Authors: Федяева О.Н. , Алехин С.А. , Морозов С.В. , Сокол М.Я. , Артамонов Д.О. , Шишкин А.В. , Востриков А.А. 
Published: February 2025

Представлены результаты совместного сверхкритического водного окисления (СКВО) смесей куриного помета (КП) и бурого угля (БУ), непрерывно подаваемых в виде суспензии, стабилизированной NaOH (0,8 мас. %), в трубчатый реактор при давлении 25 МПа, градиенте температуры по его вертикальной оси 390—600 °С, варьируемых расходах реагентов и концентрациях КП и БУ в суспензии. Добавление БУ приводит к снижению общего энергопотребления омическими нагревателями в 1,5—1,8 раза в зависимости от содержания горючего вещества в суспензии. Образующаяся газовая смесь содержит СО2, N2 и следовые количества N2O. В составе зольных остатков преобладают карбонаты, фосфаты и алюмосиликаты кальция и натрия. Суммарное содержание фенолов (17—32 мкг/дм3 ) и полициклических ароматических углеводородов (2—4 мкг/дм3 ) в эффлюенте зависит от концентрации КП в суспензии и не превышает уровня их максимально допустимых концентраций в сточных водах. Показано, что образование HNO3 и H2SO4 в процессе СКВО приводит к усилению коррозии конструкционных материалов и повышенному содержанию хрома, меди и никеля в эффлюенте. Обсуждаются механизмы превращения органических и минеральных компонентов, содержащихся в КП и БУ.
The results of joint supercritical water oxidation (SCWO) on the poultry manure (PM and brown coal (BC) mixtures continuously fed as a NaOH stabilized (0.8 wt. %) slurry into a tubular reactor at 25 MPa, temperature gradient along its vertical axis of 390— 600 °C, varied reactant flow rate and concentrations of PM and BC in the slurry are presented. The addition of BC leads to the 1.5—1.8-fold reduction of the total energy consumption by ohmic heaters depending on the content of combustible matter in the slurry. The forming gas mixture contains CO2, N2, and trace amount of N2O. Calcium and sodium carbonates, phosphates, and aluminosilicates are dominated in the composition of ash residues. The total content of phenols (17—32 μg/dm3) and polycyclic aromatic hydrocarbons (2—4 μg/dm3) in the effluent depends on the PM concentration in the slurry and does not exceed the level of their maximum permissible concentration in wastewater. The formation of HNO3 and H2SO4 during the SCWO process results in corrosion of construction materials and increases the content of chromium, copper and nickel in the aqueous effluent. The mechanisms of transformation of organic and mineral components of PM and BC are discussed.
Development of lactate sensing probe with deep trench structure for analyzing cancer cells in brain tissue
Authors: Qiu Chenxi , Iwanuma Naoki , Tsuji Kazushi , Oba Shutaro , Fukushima Takafumi , Tanaka Tetsu 
Published: February 2025

Abstract
To develop a real-time monitoring probe for lactate concentration in brain tissue, we have proposed a unique probe that increases detection area by deepening its structure. This probe, fabricated in a silicon substrate, features a rigid design with a finger-like deep trench to immobilize sufficient lactate oxidase to precisely detect lactate concentration within brain tissue. This article presents a micro-level lactate probe for monitoring brain tumors. An innovative deep-trench finger-like structure was designed and successfully fabricated on a silicon substrate to ensure sufficient enzyme quantities and increase the monitoring area. The manufacturing process proposed a bi-layer resist composed of parylene and photoresist, exploring the influence of the electroplating parameters of Prussian blue on detection. Biochemical detection was completed using chips with the same structure, achieving a good linear range. The detection limit also meets the requirements for lactate detection in brain tissue, validating the feasibility of this innovative design.