Magnesium alloy composite coatings: In vitro study of cytotoxicity, adhesion, cellular structure and function by Natalya G. Plekhova, Polina A. Novikova, Ivan N. Chernenko, Aleksandra K. Stepanyugina, Olga V. Shevchenko, Valeria S. Marchenko, Andrey S. Gnedenkov, Sergey L. Sinebryukhov, Sergey V. Gnedenkov, Valentin B. Shumatov

“…Compared with copper, which had high cytotoxic activity, the values for the studied samples were significantly lower. …”
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Pre-hospital Associated Factors of Survival in Traumatic Out-of-hospital Cardiac Arrests: An 11-Year Retrospective Cohort Study by Thanakorn Laksanamapune, Chaiyaporn Yuksen, Natthaphong Thiamdao

“…This study aimed to analyze prehospital prognostic factors of survival in TOHCA cases. …”
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Nomogram model of mortality risk in patients with chronic obstructive pulmonary disease in intensive care unit: based on MIMIC-IV database and external validation study by Yikun Guo, Yikun Guo, Chen Zuo, Chen Zuo, Jun Yan, Chengjun Ban

“…The constructed nomogram model included 7 variables: age, weight, APSIII score, ventilation duration, potassium ion, anion gap, and international normalized ratio. …”
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The Clinical Learning Environment Experience of the Student Nurse of the Generation Z: a Convergent Parallel Mixed Method Study by Marzia Lommi, Giuliana Covelli, Dhurata Ivziku, Giorgia Barretta, Gianluca Pozzuoli, Barbara Porcelli, Luca Guarente, Simona Ricci

“…The internship represents an experience that incorporates numerous meanings and values that involve nursing students globally, particularly for those belonging to Generation Z. …”
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Need to clamp indwelling urinary catheters before removal after different durations: a systematic review and meta-analysis by Xiaoyan Fan, Sumin Ma, Jiayi Gu

“…Continuous variables were analysed using mean difference and standardised mean difference (SMD) values with a 95% CI. …”
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Intraoperative hypotension prediction in cardiac and noncardiac procedures: is HPI truly worthwhile? A systematic review and meta-analysis by Erfan Shirmohamadi, Reza Hosseini Dolama, Narjes Mohammadzadeh, Navid Ebrahimi, Negar Ghasemloo

“…However, subgroup analysis revealed variability in HPI performance between cardiac and non-cardiac surgeries, with lower diagnostic odds ratios (DOR) in cardiac settings. …”
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Análisis de la frecuencia cardíaca en el pádel femenino amateur (Analysis of heart rate in amateur female padel) by José Antonio Carbonell Martínez, Juan Ferrándiz Moreno, Norberto Pascual Verdú

“…Para ello, hemos tenido en cuenta las variables de FC máxima y FC media de cada set y de cada bloque de 5 juegos disputados. …”
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A Holistic Model of Organizational Trust with the Approach of Professional Ethics in Iranian Health System: A Case Study of the Universities of Medical Sciences in Iran by Mohammad Hossein Kashefi, Nader Bohlooli, Karim Eskandari, Hossein Emari

“…Hence, a substantial association between manifest variables (concepts) and latent variables (categories) was established, with all factor loadings being validated. …”
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Who freezes her eggs and why? psychological predictors, reasons, and outcomes of social egg freezing by Julia Jeannine Schmid, Seraina Weber, Ulrike Ehlert

“…Conclusion SEF users might be characterized as mainly single, career-oriented, and greatly valuing genetic motherhood. As the motives for SEF, rather than its use per se, might be linked to psychological variables, these should be considered when counseling and supporting women.…”
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Characterization and Comparison of Athletic Performance and Change of Direction Deficit Across Youth Futsal Age Groups by João P. Oliveira, Daniel A. Marinho, Tatiana Sampaio, Sílvio Carvalho, Hugo Martins, Jorge E. Morais

“…<b>Results</b>: All anthropometric variables showed significant group effects with moderate to strong effect sizes, where U17 presented the largest values, followed by U15 and U13. …”
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Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery by Arezoo Abasi, Ahmad Nazari, Azar Moezy, Seyed Ali Fatemi Aghda

“…Model performance was assessed using metrics such as accuracy, precision, recall, F1-score, AUC, and SHAP values to ensure robust evaluation and interpretability. …”
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Development of a Predictive Model of Occult Cancer After a Venous Thromboembolism Event Using Machine Learning: The CLOVER Study by Anabel Franco-Moreno, Elena Madroñal-Cerezo, Cristina Lucía de Ancos-Aracil, Ana Isabel Farfán-Sedano, Nuria Muñoz-Rivas, José Bascuñana Morejón-Girón, José Manuel Ruiz-Giardín, Federico Álvarez-Rodríguez, Jesús Prada-Alonso, Yvonne Gala-García, Miguel Ángel Casado-Suela, Ana Bustamante-Fermosel, Nuria Alfaro-Fernández, Juan Torres-Macho

“…One hundred and twenty-one variables were explored for the predictive analysis. …”
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An Assessment of the Seasonal Uncertainty of Microwave L-Band Satellite Soil Moisture Products in Jiangsu Province, China by Chuanxiang Yi, Xiaojun Li, Zanpin Xing, Xiaozhou Xin, Yifang Ren, Hongwei Zhou, Wenjun Zhou, Pei Zhang, Tong Wu, Jean-Pierre Wigneron

“…SMOS-IC generally achieves better R values across all seasons but has limited temporal availability, while SMAP-IB typically has the lowest <i>ub</i>RMSD values, even reaching 0.03 m³/m³ during morning observation in the winter. …”
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Association between estimated glucose disposal rate and gallstone risk in US adults based on NHANES 2017 to 2020 by Zhiying Wang, Xue Zhang, Zhicheng Liu, Zhuo Fu, Yahui Liu, Qing Liu, Yan Jiao

“…The association between eGDR and gallstone prevalence was analyzed using multivariable logistic regression, adjusting for demographic and clinical variables. Lower eGDR values were significantly associated with higher prevalence of gallstones. …”
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Interpretable prognostic modeling for long-term survival of Type A aortic dissection patients using support vector machine algorithm by Hao Cai, Yue Shao, Xuan-yu Liu, Chang-ying Li, Hao-yu Ran, Hao-ming Shi, Cheng Zhang, Qing-chen Wu

“…Abstract Objectives This study aims to develop a reliable and interpretable predictive model for long-term survival in Type A aortic dissection (TAAD) patients, utilizing machine learning (ML) algorithms. …”
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Analysis of the mare breeding population of Haflinger breed in the Czech Republic by Michaela Kulišťáková, Eva Sobotková, Radek Filipčík

“…The aim of this study was to analyse the conformation traits and body dimensions of Haflinger mares registered in the Czech Republic studbook. …”
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Nivel de satisfacción de las clases online por parte de los estudiantes de Educación Física de Chile en tiempos de pandemia (Level of satisfaction of online classes by students of... by Elizabeth Flores Ferro, Fernando Maurera Cid, Marcelo Hadweh Briceño, Socorro Alonso Gutiérrez Duarte, Ángela Silva-Salse, Sebastián Peña-Troncoso, Franklin Castillo-Retamal, Patricia González Flores, Francisca Pauvif Cárcamo, Valentina Bahamondes Acevedo, Gonzalo Zapata Vera, Juan Pablo Zavala-Crichton, Juan Maureira Sánchez, Marcela Brevis-Yever, Carlos Lagos Olivos

“…Se hacen necesarias futuras investigaciones con otras variables como actividad física, niveles de estrés y estrategias para la enseñanza de la Educación Física virtual. …”
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Prediction cardiovascular deterioration in a paediatric intensive care unit (PicEWS): a machine learning modelling study of routinely collected health-care dataResearch in context by Dan Fredman Stein, Michael J. Carter, John Booth, Mark J. Peters, Samiran Ray, Neil J. Sebire, Payam Barnaghi, Mario Cortina-Borja

“…We calculated trend and variability, and used validated age-normalisation for input variables where appropriate. …”
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Patients' sense of medical gain on family doctor contracting services in China: scale development and preliminary validation by Jiaqi Zhang, Cuihong Ou, Yuxi Liu, Yufeng Chen, Tufen He, Ruiming Liu

“…Abstract Background and aim The system of family doctor contract services is a crucial component of China's primary healthcare system. …”
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Multidrug‐Resistant ESKAPEEc Pathogens From Bloodstream Infections in South Africa: A Cross‐Sectional Study Assessing Resistance to WHO AWaRe Antibiotics by Bakoena A. Hetsa, Jonathan Asante, Daniel G. Amoako, Akebe L. K. Abia, Joshua Mbanga, Sabiha Y. Essack

“…One‐way analysis of variance (ANOVA) was used to assess associations between MARI and clinical variables, including ward type and facility level. …”
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