Mathematical activities in school-age educare by Maria Hjalmarsson, Maria Fahlgren, Karin Våge

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Stability Analysis of Distribution Networks With High Penetration of Distributed Energy Resources by Ashwin Venkataramanan, Wenzong Wang, Deepak Ramasubramanian, Aminul Huque, Ali Mehrizi-Sani

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The intervention effect of exercise on the attention of patients with depression: a systematic review by Haijun Dong, Cong Liu, Man Qin

“…ObjectiveThis paper aims to systematically evaluate the intervention effect of exercise on the attention of patients with depression.MethodsThe randomized controlled trials of exercise intervention on the attention of patients with depression in six databases were retrieved by computer, and the quality of the included literature was evaluated by the PEDro scale. …”
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A Lightweight Model for Shine Muscat Grape Detection in Complex Environments Based on the YOLOv8 Architecture by Changlei Tian, Zhanchong Liu, Haosen Chen, Fanglong Dong, Xiaoxiang Liu, Cong Lin

“…Automated harvesting of “Sunshine Rose” grapes requires accurate detection and classification of grape clusters under challenging orchard conditions, such as occlusion and variable lighting, while ensuring that the model can be deployed on resource- and computation-constrained edge devices. This study addresses these challenges by proposing a lightweight YOLOv8-based model, incorporating DualConv and the novel C2f-GND module to enhance feature extraction and reduce computational complexity. …”
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Advancements in Sensor Fusion for Underwater SLAM: A Review on Enhanced Navigation and Environmental Perception by Fomekong Fomekong Rachel Merveille, Baozhu Jia, Zhizun Xu, Bissih Fred

“…Fusion methodologies, such as Kalman filters, particle filters, and graph-based SLAM, are evaluated for their benefits, limitations, and computational demands. …”
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Diffusion-Based Sound Source Localization Using a Distributed Network of Microphone Arrays by Davide Albertini, Alberto Bernardini, Gioele Greco, Augusto Sarti

“…We then present two resolution approaches of such a problem; one is computationally centralized, while the other is computationally distributed and based on an Adapt-Then-Combine (ATC) diffusion strategy. …”
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5 G WiFi Signal-Based Indoor Localization System Using Cluster -Nearest Neighbor Algorithm by Feng Yu, Minghua Jiang, Jing Liang, Xiao Qin, Ming Hu, Tao Peng, Xinrong Hu

“…For one thing, we reduce the computation effort based on the coarse localization algorithm. …”
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Advancements in electrocatalytic technologies for metal-supported solid oxide fuel cells: enhancing efficiency and durability for biofuel-powered mobility applications by Ganesan Subbiah, Sasmeeta Tripathy, J. Guntaj, Nandagopal Kaliappan, Beemkumar Nagappan, Devanshu J. Patel, Priya K. Kamakshi

“…Abstract This review critically evaluates recent advancements in electrocatalytic technologies aimed at enhancing the efficiency of metal-supported Solid Oxide Fuel Cells (SOFCs) for biofuel-powered mobility applications. …”
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Machine Learning Ship Classifiers for Signals from Passive Sonars by Allyson A. da Silva, Lisandro Lovisolo, Tadeu N. Ferreira

“…LDA and XGBoost delivered the strongest performance overall, with XGBoost offering particularly robust accuracy and computational efficiency suitable for real-time naval applications. …”
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MMPred: a tool to predict peptide mimicry events in MHC class II recognition by Filippo Guerri, Filippo Guerri, Valentin Junet, Valentin Junet, Judith Farrés, Xavier Daura, Xavier Daura, Xavier Daura

“…We present MMPred, a software tool that integrates epitope prediction and sequence alignment algorithms to streamline the computational analysis of molecular mimicry events in autoimmune diseases. …”
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Benchmarking universal machine learning interatomic potentials for rapid analysis of inelastic neutron scattering data by Bowen Han, Yongqiang Cheng

“…The accurate calculation of phonons and vibrational spectra remains a significant challenge, requiring highly precise evaluations of interatomic forces. Traditional methods based on the quantum description of the electronic structure, while widely used, are computationally expensive and demand substantial expertise. …”
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Enhancing Model Generalizability in Aircraft Carbon Brake Wear Prediction: A Comparative Study and Transfer Learning Approach by Patsy Jammal, Olivia Pinon Fischer, Dimitri N. Mavris, Gregory Wagner

“…., aircraft types). We evaluate the trade-offs between predictive performance and computational efficiency by comparing specialized models tailored to specific aircraft types with a generalized model designed to predict continuous wear values across multiple aircraft types. …”
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State-of-the-Art Review of the Simulation of Dynamic Recrystallization by Xin Liu, Jiachen Zhu, Yuying He, Hongbin Jia, Binzhou Li, Gang Fang

“…The advantages and shortcomings of simulation methods are evaluated. Mean field models are used to implicitly describe the DRX process and are embedded into a finite element (FE) program for forming. …”
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Forced Oscillation Detection via a Hybrid Network of a Spiking Recurrent Neural Network and LSTM by Xiaomei Yang, Jinfei Wang, Xingrui Huang, Yang Wang, Xianyong Xiao

“…The SRNN achieves computational and energy efficiency, while the integration with LSTM is conducive to effectively capturing temporal dependencies in time-series oscillation data. …”
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Exploring the potential of QSAR in the discovery of novel green TADF materials: an experimental and theoretical study by Jee Hyun Maeng, Dae Hyun Ahn, Chul Woong Joo, Jung Ho Ham, Se Chan Cha, Young Hun Jung, Jang Hyuk Kwon

“…By leveraging the predictive capabilities of QSAR, we aimed to enhance the accuracy and efficiency of material development. We employed computational modeling, synthesis, and device fabrication to evaluate the performance of a newly developed green TADF dopant material. …”
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Node-Centric Pruning: A Novel Graph Reduction Approach by Hossein Shokouhinejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani

“…These enhancements in computational efficiency and resource management make our technique particularly valuable for deploying GNNs in real-world applications, where handling large, complex datasets effectively is crucial. …”
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Mechanisms and Modelling of Effects on the Degradation Processes of a Proton Exchange Membrane (PEM) Fuel Cell: A Comprehensive Review by Krystof Foniok, Lubomira Drozdova, Lukas Prokop, Filip Krupa, Pavel Kedron, Vojtech Blazek

“…The review explicitly compares physics-based, data-driven, and hybrid modelling strategies, discussing trade-offs between accuracy, computational demand, and generalizability. Key findings emphasise that hybrid models effectively balance precision with computational efficiency. …”
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Quality control of small animal PET scanner: The Brazilian Scenario by Rodrigo Modesto Gadelha Gontijo, Andréa Vidal Ferreira, Juliana Batista Silva, Marcelo Mamede

“…This work aims to evaluate the quality control program for small animal PET (positron emission tomography) scanners in Brazil. …”
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Urban bus networks’ emergency management for interdicting major emerging infectious diseases’ early transmission by Yue Pan, Ruojian Li, Hongsheng Qi

“…An example network is applied to validate the proposed model and algorithm’s effectiveness, and the results show that the model is valid. Moreover, computational experiments evaluate the model’s performance in a large-scale network. …”
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Comprehensive Benchmark Dataset for Pathological Lymph Node Metastasis in Breast Cancer Sections by Xitong Ling, Yuanyuan Lei, Jiawen Li, Junru Cheng, Wenting Huang, Tian Guan, Jian Guan, Yonghong He

“…The Camelyon series is one of the most widely used open-source datasets in computational pathology. However, the quality, accessibility, and clinical relevance of the labels have not been comprehensively evaluated.In this study, we reprocessed 1,399 WSIs and labels from the Camelyon-16 and Camelyon-17 datasets, removing low-quality slides, correcting erroneous labels, and providing expert pixel annotations for tumor regions in the previously unreleased test set. …”
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