Leveraging stacking machine learning models and optimization for improved cyberattack detection by Neha Pramanick, Jimson Mathew, Shitharth Selvarajan, Mayank Agarwal

“…By subjecting the system to a comparative analysis with recent state-of-the-art works, this paper has shown that the proposed methodology yields better improvement in feature selection precision classification accuracy, handling of minority class instance, less demanding storage and computational efficiency.…”
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A Particle Swarm Optimization-Based Ensemble Broad Learning System for Intelligent Fault Diagnosis in Safety-Critical Energy Systems with High-Dimensional Small Samples by Jiasheng Yan, Yang Sui, Tao Dai

“…Finally, the model is validated through simulated data from a complex nuclear power plant (NPP). Numerical experiments reveal that the proposed method significantly improved the diagnostic efficiency while maintaining high accuracy. …”
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Enhancing Thermal-Hydraulic Modelling in Dual Fluid Reactor Demonstrator: The Impact of Variable Turbulent Prandtl Number by Hisham Elgendy, Sławomir Kubacki, Konrad Czerski

“…The results provide a framework for improving reactor design and operational strategies, ensuring enhanced safety and efficiency in next-generation nuclear systems. Future work will apply this modelling approach to more complex geometries and flow scenarios to optimise thermal-hydraulic performance.…”
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Passenger Flow Simulation Model for Urban Rail Transit Stations Based on Multipotential Fields in Three-Dimensional Space by Lianbo Deng, Jingshuang Li, Jingen Fu, Jiayi Liu, Xiao Yi

“…The spatial and temporal rules governing passenger flow in urban rail transit (URT) stations are complex, and simulation modeling and analysis of passenger flow distribution in stations are very important in regard to scientifically organizing and controlling passenger flow and improving passenger travel efficiency. …”
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Hybrid boosted attention-based LightGBM framework for enhanced credit risk assessment in digital finance by Chengwei Ying, Anlu Shi, Xiongyi Li

“…The HBA-LGBM model introduces four key innovations: (1) a multi-stage feature selection mechanism that dynamically filters key borrower attributes; (2) an attention-based feature enhancement layer, which prioritizes critical financial risk factors dynamically based on contextual importance; (3) a hybrid boosting strategy, integrating LightGBM with an adaptive neural network, enabling the model to capture complex borrower behavior and non-linear credit risk patterns; and (4) an advanced imbalanced learning strategy, combining synthetic data augmentation and cost-sensitive learning to mitigate class imbalance and enhance minority class predictions. …”
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Adaptive variation regulates the expression of the human SGK1 gene in response to stress. by Francesca Luca, Sonal Kashyap, Catherine Southard, Min Zou, David Witonsky, Anna Di Rienzo, Suzanne D Conzen

“…Using ChIP assays, we show that both GR and Oct1 bind to this region and that the ancestral allele at rs9493857 binds the GR-Oct1 complex more efficiently than the derived allele. …”
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Types of activity of a judge at the preparatory stage to court hearings by O. M. Tsilmak

“…Judicial activity is quite complex and multifunctional. Therefore, the personality of a judge, his level of qualification, competence and professionally important characteristics are of great importance for this activity. …”
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Using Machine Learning and Analytical Modeling to Predict Poly-Crystalline PV Performance in Jordan by Sinan S. Faouri, Salah Abdallah, Dana Helmi Salameh

“…ANNs were utilized to capture complex nonlinear relationships, but their performance was limited, likely because of the small sample size and lack of temporal dynamics. …”
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Multi-task feature integration and interactive active learning for scene image resizing by Ludan Shi, Xianhua Yan, Sen Wang

“…The primary advantages of LIAL are twofold: firstly, it maintains the local coherence of varied scenes efficiently, and secondly, it allows for the active selection process to be shaped by human interaction. …”
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Hybrid AI-Based Framework for Renewable Energy Forecasting: One-Stage Decomposition and Sample Entropy Reconstruction with Least-Squares Regression by Nahed Zemouri, Hatem Mezaache, Zakaria Zemali, Fabio La Foresta, Mario Versaci, Giovanni Angiulli

“…This process effectively extracts meaningful components while reducing background noise, improving data quality, and minimizing uncertainty. The complexity of these components is assessed using entropy-based selection to retain only the most relevant features. …”
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Chromosome-Level Genome Assembly and Comparative Transcriptome Analyses Identified Energy Conservation as a Key Strategy for Anadromous Adaptation of the Hilsa Shad, <i>Tenualosa i... by Kishor Kumar Sarker, Liang Lu, Roland Nathan Mandal, Md Rashedur Rahman, Anirban Sarker, Mohammad Abdul Baki, Chenhong Li

“…We observed rapid expansion of gene families to facilitate efficient signaling and osmotic balance, as well as a substantial selection pressure in metabolism regulatory genes, potentially relevant to a highly anadromous fish. …”
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Multicomponent Adsorption of Paracetamol and Metronidazole by Batch and Fixed-Bed Column Processes: Application of Monte Carlo Bayesian Modeling by Letícia Reggiane de Carvalho Costa, Júlia Toffoli de Oliveira, Fayola Silva Silveira, Liliana Amaral Féris

“…These findings highlight the complexity of multicomponent adsorption and provide insights, contributing to the development of more efficient and sustainable water treatment technologies for pharmaceutical residues.…”
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Multi-material 3D printed smart floor tiles with triboelectric energy generation and security monitoring by Shidhin Mappoli, Kalyan Ghosh, Martin Pumera

“…Nylon 6 and carbon/polyvinylidene fluoride (C/PVDF) filaments are selected for positive and negative triboelectric layers, respectively and conductive carbon/polylactic acid (C/PLA) filament was selected for both current collectors and wood/PLA is selected for both top and bottom supporting layers. …”
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Variable phylosymbiosis and cophylogeny patterns in wild fish gut microbiota of a large subtropical river by Yaqiu Liu, Xinhui Li, Konstantinos Ar. Kormas, Yuefei Li, Huifeng Li, Jie Li

“…Phylosymbiosis is evident at both global and local levels, which are jointly shaped by complex factors including ecological or host physiological filtration and evolutionary processes. …”
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Eye-hand coordination during upper limb motor tasks in individuals with or without a neurodevelopmental disorder: a systematic review by Manel Abid, Manel Abid, Isabelle Poitras, Isabelle Poitras, Martine Gagnon, Catherine Mercier, Catherine Mercier

“…Eye-hand coordination temporal pattern did not differ between individuals with and without NDD in simple tasks involving direct pointing at a single stationary target. In the case of more complex tasks in terms of visuomotor and/or cognitive integration, especially for the more complex manipulation or sequential movements, individuals with NDD exhibited significantly different behaviors, with larger temporal gaps between the timing of eyes movement relative to that of the hand and more reliance on visual monitoring of hand movements.ConclusionThe results of this systematic review suggest that individuals with NDD face significant challenges in efficiently integrating visual and motor information during UL tasks that are visually, cognitively and/or physically more demanding, with more reliance on visual feedback control. …”
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Multi-scale Transformer-based classification of bathymetric LiDAR data in shallow water environments by L. Asgharian Pournodrati, M. M. Baba, J. Gangelhoff, U. Sörgel

“…To improve computational efficiency, we use a voxel selection mechanism. Using HDBSCAN, we cluster voxel features within each window based on density and retain representative voxels with distinct characteristics. …”
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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…Furthermore, the model introduces three key innovations: Dynamic Multi-Scale Convolutional Learning for adaptive kernel selection, Unified Spatio-Temporal Attention (USTA) for efficient feature recalibration, and AFB for multi-scale feature fusion while preserving long-range dependencies. …”
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SET OF ORGANIZATIONALLY-DIDACTIC CONDITIONS OF THE MODEL OF STUDENTS’ AUTONOMY DEVELOPMENT SYSTEM IMPLEMENTATION by Roman A. Popov

“…It is at the higher school that the sharp increase of educational-cognitive activeness is observed; students actively absorb new humanitarian concepts of interdisciplinary content (from social studies, cultural sciences, literature studies, etc.) along with mastering the complex of educationalcognitive actions and skills. …”
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PRINCIPLES AND METHODS OF WHEAT BREEDING ON TOLERANCE TO DISEASES IN KRIA NAMED AFTER P.P. LUKIYANENKO by I. B. Ablova, L. A. Bespalova, F. A. Kolesnikov, G. D. Nabokov, V. Ya. Kovtunenko, V. A. Filobok, R. O. Davoyan, Zh. N. Khudokormova, I. M. Mokhova, Yu. G. Levchenko, A. S. Tarkhov

“…It has been determined that the most efficient method to create the varieties tolerant to head fusarium is a complex hybridization, intended on the pyramiding of the genes with specific and unspecific resistance. …”
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SELF-CORRECTION OF TEACHERS’ PROFESSIONAL BURNOUT by T. F. Orekhova, T. G. Neretina, Т. V. Kruzhilina, P Ledeur

“…The advantage of all proposed methods and techniques, that form a complete correctional and preventive complex, consists in simplicity, availability, safety and efficiency in respect of achievement of a fast, positive, and really notable result; the elements can vary depending on individual needs and features of a personality. …”
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