Machine learning-based prediction of diabetic peripheral neuropathy: model development and clinical validation by Meng Sun, Xingling Sun, Fei Wang, Li Liu

“…Feature selection was performed using both Boruta and LASSO algorithms, and the intersection of the selected variables was used as the final predictor set. …”
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Organ‐based clues for diagnosis of inborn errors of immunity: A practical guide for clinicians by Fatemeh Mohammadi, Amirhossein Yadegar, Mahta Mardani, Aryan Ayati, Hassan Abolhassani, Nima Rezaei

“…As a result, it can be the mainstay of diagnostic algorithms, prognosis, and possibly therapeutic interventions in patients with IEI. …”
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Different oscillatory mechanisms of dementia-related diseases with cognitive impairment in closed-eye state by Talifu Zikereya, Yuchen Lin, Zhizhen Zhang, Ignacio Taguas, Kaixuan Shi, Chuanliang Han

“…Notably, Dementia related diseases, including Alzheimer's disease (AD) and frontotemporal dementia (FTD), significantly impair the quality of life for both affected seniors and their caregivers. …”
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Integrating IT and OT for Cybersecurity: A Stochastic Optimization Approach via Attack Graphs by Gonzalo Martinez Medina, Krystel K. Castillo-Villar, Tanveer Hossain Bhuiyan

“…We demonstrate the efficacy of this proposed approach in cybersecure digital manufacturing via a real-life Computer Numerical Control (CNC) machining process. …”
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AI-Driven Predictive Modeling for Lung Cancer Detection and Management Using Synthetic Data Augmentation and Random Forest Classifier by Nisreen Innab, Asma Aldrees, Dina Abdulaziz AlHammadi, Abeer Hakeem, Muhammad Umer, Shtwai Alsubai, Silvia Trelova, Imran Ashraf

“…The application of machine learning algorithms enables medical researchers to examine large amounts of data accurately, which leads to the development of precise and effective treatment approaches. …”
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Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer’s Disease Diagnosis by Maria João Oliveira, Pedro Ribeiro, Pedro Miguel Rodrigues

“…Results: The cML algorithms achieved the following classification <i>accuracy</i>: 85.2% for <i>AD</i> vs. …”
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Predictive modeling for rework detection in sustainable building projects by AbdulLateef Olanrewaju, Kafayat Shobowale

“…Abstract Sustainable construction practices are implemented to ensure that buildings contribute positively to environmental protection, social well-being, and economic viability throughout their entire life cycle, from design and construction to operation and eventual decommissioning. …”
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Epidemiological and pharmacoeconomic aspects of HIV infection in military by Yu. I. Bulankov, M. A. Bulygin, A. V. Bespalov, K. V. Zhdanov, A. A. Murachev, K. S. Ivanov, Yu. I. Lyashenko

“…The study uses the following methods for the analysis: Markov chains are employed to calculate QALYs (Quality Adjusted Life Years), “cost-effectiveness”, and “willingness to pay”. …”
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Using Age- and Size-Corrected Measures of Technical Skill to Better Assess the Performances of Youth Soccer Players by Thiago V. Camata, Andrew H. Hunter, Nicholas M. A. Smith, Mathew S. Crowther, Paulo R. P. Santiago, Robbie S. Wilson

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A Mental Approach to Digital Transformation of Education by N. I. Pak

“…The mental approach is built on the foundation of mental schemes that define reality and a person from the position of his mentality, formed as a result of his individual and collective life experience. In the digital era, the approach determines the mechanisms for achieving new goals of education, such as the formation and development in a person of computa- tional, structural, intuitive, algorithmic thinking. …”
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Identification and experimental validation of BMX as a crucial PANoptosis‑related gene for immune response in Spinal Cord Injury. by Tianbao Feng, Jiating Hu, Mi Xie, Guodong Shi, Qi Wang, Jingyuan Yao, Xiaoqin Liu

“…Spinal cord injury (SCI) is a debilitating neurological condition that severely impacts motor, sensory, and autonomic functions, leading to significant challenges in patient quality of life and imposing substantial economic burdens on society. …”
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Analysing learning behaviour: A data-driven approach to improve time management and active listening skills in students by Vinayak Hegde, Vishrutha M, Pallavi M. Shanthappa, Rekha Bhat, Nisha Raveendran, Roshin C

“…Time management is a perennial challenge in modern life, where individuals often juggle multiple responsibilities and commitments. …”
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A State-of-the-Art Review on the Freeze–Thaw Resistance of Sustainable Geopolymer Gel Composites: Mechanisms, Determinants, and Models by Peng Zhang, Baozhi Shi, Xiaobing Dai, Cancan Chen, Canhua Lai

“…Freeze–thaw (F-T) resistance, which has a profound influence on the service life of structures, is a crucial indicator for assessing the durability of geopolymer composites (GCs). …”
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A novel ensemble of hybrid starling murmuration optimized stacked gated Ghostnets for robust classification of DDoS attacks by P. Mamatha, S. Balaji, S. Sai Anuraghav

“…Abstract An Internet enabled smart devices has intruded in each and every inch of individual’s habit, making them to lead more comfortable and sophisticated life. The explosive growth of these gadgets has given the bright light of many attacks that even causes the fatal end to the users. …”
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Heat Loss Determination of District Heating Pipelines. A Comparison of Numerical and Analytical Methods by Wieland Aaron, Dollhopf Stefan, Weidlich Ingo, Langroudi Pakdad Pourbozorgi

“…Assessing the energy efficiency of district heating systems considers the network heat losses. For example, life cycle assessments of engineering structures like these necessitate an understanding of heat losses incurred during their operational phase. …”
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A PSO weighted ensemble framework with SMOTE balancing for student dropout prediction in smart education systems by Achin Jain, Arun Kumar Dubey, Shakir Khan, Arvind Panwar, Mohammad Alkhatib, Abdulaziz M Alshahrani

“…Abstract Student dropout is a critical issue that affects not only educational institutions but also students’ mental well-being, career prospects, and long-term quality of life. The ability to predict dropout rates accurately enables timely interventions that can support students’ academic success and psychological resilience. …”
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Diagnosis and treatment of sepsis-induced cardiomyopathy using hemosorption therapy: a case report by S. V. Dil, V. V. Kirilin, N. M. Ivanov, V. V. Ryabov

“…Introduction. Sepsis is a life-threatening organ failure caused by the body’s dysregulated response to infection. …”
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The Effects of SARS CoV-2 nsp13 Mutations on the Structure and Stability of Helicase in Chinese Isolates by Ekrem Akbulut

“…The mutant model was built using deep learning algorithms. Model quality assessment was done with QMEAN. …”
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Intelligent technology for construction of tutoring integrated expert systems: new aspects by Galina V. Rybina

“…They provide automation of support of all the stages of construction and maintenance of the life cycle of such systems.In the context of basic models, methods, algorithms and tools that implement the conceptual foundations of a problem-oriented methodology, and which are evolutionarily developed and experimentally investigated in the process of constructing various architectures of training integrated expert systems, including webbased ones, some features of the generalized model of intellectual learning and its components are considered (in particular, the competence-based model of the trainee, the adaptive tutoring model, the ontology model of the course /discipline et al.) as well as methods and means of their realization in the current versions of tutoring integrated expert systems.In current versions of tutoring integrated expert systems examples of implementation of typical intelligent tutoring problems are described for the generalized ontology “Intelligent systems and technologies” (individual planning of the method of studying the training course, intelligent analysis of training tasks, intelligent support for decision making).A brief description of the conceptual foundations of the model of the intelligent software environment of the AT-TECHNOLOGY workbench is given and a description of some components of the model is presented with a focus on the basic components – intelligent planner, standard design procedures and reusable components, which provide automated support for the prototyping processes of tutoring integrated expert systems. …”
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GIS-based framework for assessing priority locations for blue-green infrastructure implementation in urban areas by Ewelina Pochodyła-Ducka, Paweł Burandt, Katarzyna Glińska-Lewczuk

“…We have developed the LUSIA (Land Use Indicator Analysis) method, employing user-defined mathematical algorithms in Python to compute five indicators: I_LU (Land Use), I_IMP (Imperviousness), I_BH (Building Height), I_BD (Building Density), and I_EX (Low-priority Areas). …”
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