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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Indoor Multidimensional Reconstruction Based on Maximal Cliques by Yongtong Zhu, Lei Li, Na Liu, Qingdu Li, Ye Yuan

“…Three-dimensional reconstruction is an essential skill for robots to achieve complex operation tasks, including moving and grasping. …”
Get full text

Research on intelligent segmentation method of coal body CT image fracture based on CBAM-UNet by Shuang Song, Yilun Xue, Suinan He, Xiang Ji, Xinshuang Cao, Guoying Liu, Juntao Chen, Hongjiao Chen

“…Current coal CT image fracture segmentation faces multiple challenges, including complex fracture morphology, difficulties in micro-fracture detection, and similar gray values between fractures and coal matrices, resulting in low efficiency of traditional segmentation methods. …”
Get full text

Evaluating DL Model Scaling Trade-Offs During Inference via an Empirical Benchmark Analysis by Demetris Trihinas, Panagiotis Michael, Moysis Symeonides

“…With generative Artificial Intelligence (AI) capturing public attention, the appetite of the technology sector for larger and more complex Deep Learning (DL) models is continuously growing. …”
Get full text

Clinical features of removing phakic intraocular lenses in cataract at high myopia by M. E. Konovalov, E. M. Molokotin

“…Before complex surgical intervention (FIOL + phacoemulsification) were carried out standard ophthalmo- logic examination, and also automatic detection of density of endothelial cells.Results: the developed technique of removal of FIOL included subconjunctival anesthesia, formation of a corneal tunnel, filling of the anterior chamber viscoelastic, FIOL mobilization, removal of the bottom haptic element in the anterior chamber, removal of the top haptic element in the of anterior chamber, FIOL removal. …”
Get full text

A novel YOLO LSTM approach for enhanced human action recognition in video sequences by Mahmoud Elnady, Hossam E. Abdelmunim

“…Additionally, this approach effectively handles challenges such as occlusions, varying illumination, and complex backgrounds, making it suitable for real-world applications. …”
Get full text

Mitigating Sinkhole Attacks in MANET Routing Protocols using Federated Learning HDBNCNN Algorithm by Sherril Sophie Maria Vincent

“…The proposed study aims to enhance the reliability and efficiency of MANETs in attack situations when minimizing overhead from malicious traffic management. …”
Get full text

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.…”
Get full text

Gaussian processes enabled model calibration in the context of deep geological disposal by Lennart Paul, Jorge-Humberto Urrea-Quintero, Umer Fiaz, Ali Hussein, Hazem Yaghi, Joachim Stahlmann, Ulrich Römer, Henning Wessels

“…The findings indicate that only a few key parameters are sufficient to accurately reflect in-situ conditions in complex rock salt models. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text