Clinical prediction model for MODY type diabetes mellitus in children by D. N. Laptev, E. A. Sechko, E. M. Romanenkova, I. A. Eremina, O. B. Bezlepkina, V. A. Peterkova, N. G. Mokrysheva

“…Based on clinical data, a feedforward neural network (NN) was implemented - a multilayer perceptron.MATERIALS AND METHODS: Development of the most effective algorithm for predicting MODY in children based on available clinical indicators of 1710 patients with diabetes under the age of 18 years using a multilayer feedforward neural network.RESULTS: The sample consisted of 1710 children under the age of 18 years with T1DM (78%) and MODY (22%) diabetes. …”
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A Privacy-Preserving Polymorphic Heterogeneous Security Architecture for Cloud–Edge Collaboration Industrial Control Systems by Yukun Niu, Xiaopeng Han, Chuan He, Yunfan Wang, Zhigang Cao, Ding Zhou

“…Comprehensive evaluations using natural gas pipeline pressure control and smart grid voltage control systems demonstrate superior performance: the proposed method achieves 100% system availability compared to 62.57% for static redundancy and 86.53% for moving target defense, maintains 99.98% availability even under common-mode attacks (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>10</mn><mrow><mo>−</mo><mn>2</mn></mrow></msup></semantics></math></inline-formula> probability), and consistently outperforms moving target defense methods integrated with state-of-the-art detection mechanisms (99.7790% and 99.6735% average availability when false data deviations from true values are 5% and 3%, respectively) across different attack detection scenarios, validating its effectiveness in defending against availability attacks and privacy leakage threats in cloud–edge collaboration environments.…”
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Multilayer Network-Based Evaluation of the Efficiency and Resilience of Network Flows by András Rácz-Szabó, Tamás Ruppert, János Abonyi

“…Supply chain optimization and resource allocation are challenging because of the complex dynamics of flows. …”
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The application of machine learning algorithms for predicting length of stay before and during the COVID-19 pandemic: evidence from Wuhan-area hospitals by Yang Liu, Yang Liu, Renzhao Liang, Chengzhi Zhang

“…This study aims to identify the primary factors impacting LOS for patients before and during the COVID-19 pandemic.MethodsThis study collected electronic medical record data from Zhongnan Hospital of Wuhan University. …”
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The impact of fruit and vegetable intake on healthcare costs and preventive care in older adults: evidence from SHARE data by S. Asieh Hosseini Tabaghdehi, Cristina Elisa Orso, Cristina Tealdi, Simona Tenaglia

“…Methods Leveraging data from the 8th wave of the Survey of Health, Ageing and Retirement in Europe (SHARE) conducted in 2019–2020, this cross-sectional analysis examines associations between daily fruit and vegetable intake and hospitalization rates, hospital length of stay, visits to general practitioners, and specialist consultations. …”
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Risk Assessment of Exposure to Chemical Pollutants in Industry Through the Development of a Hybrid Approach Based on Fuzzy Logic by Sadaf Jahangiri, Noushin Birjandi, Morteza Ghobadi

“…This method allows for more accurate and effective risk assessment by considering uncertainties and ambiguities in the data. …”
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Discrete Phase Shift IRS-Assisted Energy Harvesting in Cognitive Radio Networks With Spectrum Sensing by Lilian Chiru Kawala, Guoquan Li, Mihertie Habtamu Demeke, Junzhou Xiong, Hao Xiong, Hang Hu

“…The rapid growth in wireless device usage has intensified the demand for spectrum resources, leading to inefficiencies in traditional resource allocation methods. Cognitive Radio Networks (CRNs) address this by enabling secondary users (SUs) to access licensed spectrum bands of primary users (PUs) without compromising their Quality of Service (QoS). …”
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The prognostication of development of respiratory tract bacterial diseases for children of early age by H. O. Lezhenko, A. V. Abramov, H. V. Krainia

“…On the basis of the conducted factor analysis the most priority predictors of development of an acute pneumonia in children of early age with acute bronchopulmonary pathology who were further included to the mathematical prognostic model of probability of development of the specified disease were allocated.…”
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Cost-effectiveness of Triple Therapy with Telaprevir for Chronic Hepatitis C Virus Patients in Germany by Jona T. Stahmeyer, Svenja Schauer, Siegbert Rossol, Hans Heinrich Wedemeyer, Daniel Wirth, Florence Bianic, Christian Krauth

“…The aim of the study was to assess the cost-effectiveness of triple therapy with telaprevir in Germany. # Methods We used a Markov model on disease progression and natural history to assess the cost-effectiveness of triple therapy with telaprevir compared to standard treatment with pegylated interferon and ribavirin. …”
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Risk factors for cholelithiasis (literature review) by B. A. Sakhabetdinov, A. I. Kurbangaleev, E. A. Khizbullina, R. R. Shaydullina, A. S. Bobrikhina, D. R. Sayapova

“…The study and identification among the population of the factors of development of this pathology contributes to earlier diagnosis, treatment of gallstone disease, prevention.The aim of the study is to improve the results of diagnostics and treatment of patients with GI by revealing the risk factors of development and allocation of risk groups for this pathology. Materials and methods: review of modern foreign and domestic literature on modifiable and non-modifiable risk factors of cholelithiasis, their participation in pathogenesis.Results. …”
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Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models by Xingyu Zhang, Yanshan Wang, Yun Jiang, Charissa B. Pacella, Wenbin Zhang

“…This study aimed to evaluate the effectiveness of combining structured and unstructured data to predict emergency severity more accurately. Methods Data from the 2021 National Hospital Ambulatory Medical Care Survey (NHAMCS) for adult ED patients were used. …”
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Determinants of weight gain among adult tuberculosis patients on dots during intensive phase in Wonago Ethiopia, unmatched case control study by Licky Eyob, Helen Ali, Yohanness Adisu, Adane Tesfaye

“…A non-probability convenience sampling method was employed to include participants. …”
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Analysis With Deep Learning of Robust UAV-Mounted Active IRS NOMA Networks With Imperfections by Chandan Kumar Singh, Deepak Kumar, Janne J. Lehtomaki, Zaheer Khan, Matti Latva-Aho, Prabhat K. Upadhyay

“…We also introduce a new method to evaluate the robustness of our system, the analysis reveals that the system performs well with fewer IRS elements, optimizing the balance between energy efficiency and outage performance. …”
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Development and validation of an interpretable nomogram for predicting the risk of the prolonged postoperative length of stay for tuberculous spondylitis: a novel approach for risk... by Parhat Yasin, Haopeng Luan, Cong Peng, Xinghua Song

“…Factors associated with an increased risk of prolonged PLOS were identified using the Least Absolute Shrinkage and Selection Operator (LASSO) method and incorporated into a multivariable logistic regression model. …”
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FACTORS OF SOCIAL AND PSYCHOLOGICAL ADAPTATION OF TEENAGERS TO EDUCATION IN SUVOROV MILITARY SCHOOL by M. V. Ivanova, V. V. Savelyev

“…The aim of the article is to reveal the content of the concept ofsocio-psychological adaptation.Methods. In the course of work theoretical methods of research are used: an overview and synthesis of approaches to the study of such a theoretical construct as adaptation and disadaptation; practical methods: methods of diagnostics of socio-psychological adaptation by K. …”
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Sentiments of Individuals with Interstitial Cystitis/Bladder Pain Syndrome Toward Pentosan Polysulfate Sodium: Infodemiology Study by Yulin Hswen, Qiuyuan Qin, Pressley Smith, Alison Swierczynski, Stuart Bauer, Erika Ladson, Amanda Leigh Garrett, Catherine A Brownstein

“…Topic modeling was conducted using latent Dirichlet allocation. Words with the highest probability were ranked to categorize each topic, and authors manually investigated and labeled discussions. …”
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AI-Driven Predictive Maintenance for Workforce and Service Optimization in the Automotive Sector by Şenda Yıldırım, Ahmet Deniz Yücekaya, Mustafa Hekimoğlu, Meltem Ucal, Mehmet Nafiz Aydin, İrem Kalafat

“…To tackle this issue, manufacturers utilize customer relationship management (CRM) strategies to enhance customer loyalty, usually depending on segmentation methods to pinpoint potential clients. However, conventional approaches frequently do not successfully forecast which clients are most likely to need or utilize maintenance services. …”
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Reversing fertility decline in Japan with foreign pro-natalist policies, 1990–2035: a systematic review and secondary data analysisResearch in context by Md Mizanur Rahman, Haruka Sakamoto, Sabera Sultana, Miho Sassa, Md Ashraful Alam, Kenji Shibuya

“…The goals are to project Japan’s total fertility rate (TFR) up to the year 2035. Methods: We conducted searches in major electronic databases from their inception until March 27 2025 to investigate the impact of fertility policies. …”
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Bayesian network for predicting mandibular third molar extraction difficulty by Tian Meng, Zhiyong Zhang, Xiao Zhang, Chao Zhang

“…Abstract Background This study aimed to establish a model for predicting the difficulty of mandibular third molar extraction based on a Bayesian network to meet following requirements: (1) analyse the interaction of the primary risk factors; (2) output quantitative difficulty-evaluation results based on the patient’s personal situation; and (3) identify key surgical points and propose surgical protocols to decrease complications. Methods Relevant articles were searched to identify risk factors. …”
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Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty by Yuan Ma, Yongping Li, Guohe Huang, Yuanrui Liu, Yufei Zhang

“…A set of scenarios are designed to reflect decision‐making preferences based on different irrigation efficiencies, food, ecological and electricity demands as well as constraint‐violation probability and system credibility levels. The major findings are: (a) the proportion of agricultural water allocation would reduce to 45.4%–56.6% by 2050 to save more water for ensuring ecological restoration and energy supply; and (b) in order to balance water demands and support regional sustainable development, policymakers should sacrifice some of the benefits, set strict arable land limits for cereal crops, improve irrigation efficiency through adopting drip and sprinkler irrigation, and avoid the effects of the irrigation efficiency paradox. …”
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