Association between prognostic nutritional index and risk of moderate-to-severe basic activities of daily living dependence two years after hip fracture surgery in older adults by Qian Wu, Wenquan Ding, Zhongtai Zhang, Rui La, Dongqing You, Qingfeng Ding, Zhigang Zhang, Yuhao Cui, Lixin Huang, Lisong Li, Dinghua Jiang, Shenghao Wang

“…Univariate and multivariate logistic regression models were applied to identify independent factors associated with moderate-to-severe BADL dependence. …”
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Bridging the digital Divide: The role of educational interventions in enhancing economic growth in Ghana by Joseph Antwi Baafi, Michael Kwame Asiedu, Seyrame Pearl Kumah

“…This study examines how Ghana's educational interventions mediate or moderate the effect of digitalization on economic growth. …”
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The Effect of Sharia Financial Literacy and Risk Perception on the Intention to Use Shopee Paylater in Generation Z with Religiosity as a Moderating Variable (A Study on UIN Alaudd... by Nurhidayah Nurhidayah, Saiful Muchlis, Nasrullah Bin Sapa

“… This study aims to analyze the influence of Sharia financial literacy and risk perception on the intention to use Shopee PayLater among Generation Z students at UIN Alauddin Makassar, as well as to evaluate the role of religiosity as a moderating variable in this relationship. A quantitative approach using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method was employed. …”
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Feasibility, Added Value, and Radiation Dose of Combined Coronary CT Angiography and Stress Dynamic CT Myocardial Perfusion Imaging in Moderate Coronary Artery Disease: A Real-Worl... by Marco Fogante, Enrico Paolini, Fatjon Cela, Paolo Esposto Pirani, Liliana Balardi, Gian Piero Perna, Nicolò Schicchi

“…Materials and Methods: This retrospective study included 65 patients (mean age: 51.2 ± 11.5 years; 21 female) with moderate CAD, selected from the Radiological Database of our hospital between May 2022 and December 2024. …”
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Exploring Machine Learning Models for Vault Safety in ICL Implantation: A Comparative Analysis of Regression and Classification Models by Qing Zhang, Qi Li, Zhilong Yu, Ruibo Yang, Emmanuel Eric Pazo, Yue Huang, Hui Liu, Chen Zhang, Salissou Moutari, Shaozhen Zhao

“…While regression models offered moderate insights, their limitations suggest that classification approaches are better suited for clinical applications. …”
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Lipid Clinic is an Efficacious Model of Preventive Medicine by A. V. Blokhina, A. I. Ershova, A. N. Meshkov, A. S. Limonova, V. I. Mikhailina, O. M. Drapkina

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Modelling immunity gaps to quantify infection resurgences by Alex James, Reuben McGregor, Natalie Lorenz, Nicole J. Moreland, Miguel Moyers-Gonzalez

“…We propose a simple extension of the classic susceptible–immune–susceptible model to explore this phenomenon. The model is parametrized using RSV antibody data derived from healthy adults in Aotearoa, New Zealand. …”
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The association between the intensity of physical activity and the risk of sarcopenia in adolescents: NHANES 2011–2018 by Meng Li, Lujie Liu, Yujie Qin, Yanfeng Xiao

“…Using weighted logistic regression with restricted cubic splines (RCS) to model potential nonlinear associations, threshold effect analysis to identify critical inflection points, and likelihood ratio tests for model comparison. …”
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Critical Perspectives on the Use of Branding Models in Approaching Places by V.A. Briciu, A. Briciu

“…This article investigates in depth the characteristics of theinterdisciplinary social theory of neo-Marxism, as a moderate response with socio-economicinfluencesontheparadigm of postmodern brand management (defined by the theory of iconic brands and cultural branding - as a model by which brands become icons through creative interaction withtheir environment, on the one hand, and the anti-capitalist, anti-corporate and anti-branding movement, on the other), both included in a constructivist-interpretivist paradigmatic scheme. …”
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Development of predictive models for differential diagnosis of hypertrophic cardiomyopathy by V. V. Zaitsev, K. S. Safronov, K. S. Konasov, T. R. Bavshin, K. A. Manokhin, L. A. Obraztsova, O. M. Moiseeva

“…To develop predictive models for differential diagnostics of hypertrophic phenotype in patients with concomitant diseases, as well as to validate through independent assessment.Material and methods. …”
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Non-inferiority of sleep position therapy compared to positive airway pressure therapy with regard to daytime sleepiness in patients with mild to moderate position-dependent obstru... by Nina Timmesfeld, Anja Neumann, Frederik Valbert, Jürgen Wasem, Alexandra Spillner, Christoph Schöbel

“…At least one half of patients with mild to moderate OSA (apnoea-hypopnoea-index (AHI) 5-30/h) have positional OSA (POSA), where apnoea occurs mostly in supine sleep. …”
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Assessment of flood vulnerability in a coastal metropolitan city for sustainable environmental using machine learning methods by Rana Alabdan, C. Sharmila, Nuha Alruwais, Haya Mesfer Alshahrani, S. Anbukkarasi, M. Sujatha, S. Vivek

“…The findings revealed that both ANN and RF models effectively simulated flood susceptibility, with ANN categorizing areas as 18% very low, 16% low, 13% moderate, 22% high, and 31% very high in vulnerability, while RF classified 7% as very low, 11% low, 34% moderate, 31% high, and 18% very high. …”
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Association Between Platelet and Cerebral Small Vessel Disease: A Secondary Analysis Based on a Retrospective Cross‐Sectional Study in Korean Adults by Shujuan Huang, Hanbo Chen, Linbo Cai, Zhaoxi Liu, Zhanbo Yu, Yuqin Dan, Danghan Xu, Yunxuan Huang

“…A multivariable logistic regression model was constructed to assess the association between platelet count and MS‐cWMH, incrementally adjusting for demographic characteristics, cardiovascular risk factors, and imaging features. …”
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A study on the effectiveness of machine learning models for hepatitis prediction by Popy Khatun, Shafeel Umam, Rubaiya Binte Razzak, Iffat Binta Shamsuddin, Nahid Salma

“…We employed one traditional predictive model, logistic regression, alongside six machine learning models: support vector machine (SVM), K-nearest neighbors (KNN), artificial neural network (ANN), random forest (RF), AdaBoost, and XGBoost. …”
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Glucosylsphingosine affects mitochondrial function in a neuronal cell model by Valeria Nikolaenko, Reddy Vootukuri, Simon Eaton, Jenny Hällqvist, Tomas Baldwin, Kevin Mills, Wendy Heywood

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Crowdfunding to Finance SMEs: New Model After Pandemic Disease by Anna Marina, Sentot Imam Wahjono, Soo-Fen Fam, Ismail Rasulong

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D-Band Channel Modeling in Data Centers and Industrial Environments by Yunqi Feng, Mamoun Guenach, Nazar Muhammad Idrees, Claude Desset, David Plets, Wout Joseph, Emmeric Tanghe

“…This paper presents D-band channel modeling campaigns for short-range line-of-sight (LOS) communications in representative data center and industrial environments. …”
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Interaction of Pinostrobin Oxime and Leukomizin with reactive oxygen species in model systems by Ye. A. Rodnova, V. V. Ivanov, V. S. Chuchalin, A. N. Melentiyeva, L. I. Arystan, Z. T. Shulgau, S. M. Adekenov

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EXPERIMENTAL RESEARCH MODELS IN THE STUDY OF LIVER PATHOLOGY AFFECTING PREGNANCY OUTCOMES by Гулрухсор Хайбуллоевна Толибова, Марина Александровна Крышня, Елена Витальевна Мозговая

“…In this regard, the development of experimental models reproducing liver damage in animals is of indisputable interest. …”
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Creation of a patient-like model of esophageal cancer in immunodeficient mice by S. O. Kit, R. A. Maksimov, A. S. Goncharova, E. A. Lukbanova, N. S. Karnaukhov, E. M. Nepomnyashchaya, M. V. Mindar, S. Yu. Tkachev, E. N. Kolesnikov

“…To study the antitumor effect of substances in vivo, it is necessary to create a model that reflects the main characteristics of a human disease. …”
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