A portable EEG signal acquisition system and a limited-electrode channel classification network for SSVEP by Yunxiao Ma, Jinming Huang, Chuan Liu, Meiyu Shi

“…Brain-computer interfaces (BCIs) have garnered significant research attention, yet their complexity has hindered widespread adoption in daily life. …”
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Brain tumor segmentation using deep learning: high performance with minimized MRI data by Jacky Huang, Banu Yagmurlu, Powell Molleti, Richard Lee, Abigail VanderPloeg, Humaira Noor, Rohan Bareja, Yiheng Li, Michael Iv, Haruka Itakura

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Gender classification performance optimization based on facial images using LBG-VQ and MB-LBP by Faruq Abdul Hakim, Tio Dharmawan, Muhamad Arief Hidayat

“…In the computer vision and machine learning field, especially for gender classification based on facial images, feature extraction is one of the inseparable parts. …”
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Enhancing Battery Pack Cooling Efficiency Through Graphite-Integrated Hybrid-Battery Thermal Management Systems by Amin Rahmani, Mahdieh Dibaj, Mohammad Akrami

“…Additionally, our parametric experiment evaluates the influence of ambient temperature, airflow velocity, and cold-plate temperature on the system’s cooling efficiency. …”
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Gadoxetic acid-enhanced magnetic resonance imaging to predict pathologic complete response of colorectal liver metastases in preoperative chemotherapy by Yuka Noguchi, Takahiro Einama, Mayuko Ohara, Koki Ichio, Kazuki Kobayashi, Naoto Yonamine, Takazumi Tsunenari, Yasuhiro Takihata, Mikiya Takao, Hiromi Edo, Koichi Okamoto, Yoshiki Kajiwara, Eiji Shinto, Sho Ogata, Hideki Ueno, Hiroshi Shinmoto, Yoji Kishi

“…Pathologic responses of all resected tumors were evaluated. For the unresected DLMs, they were defined as DLMs if they did not reappear in the imaging studies conducted over the following year. …”
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Motion Cognitive Decoding of Cross-Subject Motor Imagery Guided on Different Visual Stimulus Materials by Tian-jian Luo, Jing Li, Rui Li, Xiang Zhang, Shen-rui Wu, Hua Peng

“…Background: Motor imagery (MI) plays an important role in brain-computer interfaces, especially in evoking event-related desynchronization and synchronization (ERD/S) rhythms in electroencephalogram (EEG) signals. …”
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Analysis of the Influence of Different Turbulence Models on the Prediction of Vehicle Aerodynamic Performance by Luwei Wang, Xingjun Hu, Peng Guo, Zirui Wang, Jingyu Wang, Yuqi Wang, Yan Ma, Ying Li, Jing Zhao, Xu Yang, Ruixing Ma, Yinan Zhu, Jianjiao Deng

“…This study creates an open-domain and virtual wind tunnel dual-computational-domain setup. It optimizes mesh refinement and boundary conditions, and evaluates the k-ε, k-ω, and Detached Eddy Simulation (DES) turbulence models. …”
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Enhancing AI Explainability Through the EXACT Framework: A User-Centric Approach by Sara S. Alhasan, Reem A. Alnanih

“…Participants completed six tasks designed to evaluate their perception, memory, and language-related cognitive functions. …”
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Secure and load balanced routing model for wireless sensor networks by Gousia Thahniyath, M. Jayaprasad

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Motor imagery EEG signal classification using novel deep learning algorithm by Sathish Mathiyazhagan, M. S. Geetha Devasena

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Comparative Analysis of Methods for Calculating Radiant Heating of Young Animals in Livestock Premises by A. V. Kuz’michev, D. А. Tikhomirov, A. V. Khimenko

“…(Results and discussion) It was established that the computational model of heat transfer in a system of isothermal diffusely absorbing and radiating surfaces can be considered as an extension of existing computational methods. …”
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Simulation Modeling of Technological Processes of Logging by Konstantin P. Rukomojnikov, Tatiana V. Sergeeva, Tatiana A. Gilyazova, Evgeny М. Tsarev, Vera P. Komisar

“…The aim of the research has been to evaluate achievements in this field and find ways to increase their effectiveness and improvement. …”
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PROSPECTS FOR CREATING A HYBRID CONTROL SYSTEM FOR PROSTHESES: A REVIEW by A.M. Samandari, A.N. Afonin

The Development of a Robust Rigid–Flexible Interface and Continuum Model for an Elephant’s Trunk Using Hybrid Coordinate Formulations by Ahmed Ghoneimy, Mohamed O. Helmy, Ayman Nada, Ahmed El-Assal

“…The goal of this study was to construct a mathematical and computational model that accurately represents the complex, flexible movements and mechanics of an elephant’s trunk. …”
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Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestration by Jonathan E. Lee, Min Zhu, Ziqiao Xi, Kun Wang, Yanhua O. Yuan, Lu Lu

“…However, these simulations are often computationally expensive due to highly coupled physics and large spatial-temporal simulation domains. …”
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Biosynthesis of novel cannabigerolic acid derivatives by engineering the substrate specificity of aromatic prenyltransferase by Hoe-Suk Lee, Jisu Park, Jisu Park, Taejung Kim, Taejung Kim, Huitae Min, Seongsu Na, Seongsu Na, Soon Young Park, Young-Tae Park, Young-Tae Park, Young Joo Yeon, Jungyeob Ham, Jungyeob Ham, Jungyeob Ham

“…The variants were expressed in E. coli, and their catalytic efficiencies were evaluated through in vivo whole-cell and in vitro enzymatic assays. …”
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Using Permutation-Based Feature Importance for Improved Machine Learning Model Performance at Reduced Costs by Adam Khan, Asad Ali, Jahangir Khan, Fasee Ullah, Muhammad Faheem

“…This task is commonly achieved through Machine Learning (ML) techniques, but improving model performance typically incurs significant computational costs. These high computational costs and uncertain payoffs make most Software engineering researchers reluctant to optimize ML models. …”
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Development and validation of a radiomic prediction model for TACC3 expression and prognosis in non-small cell lung cancer using contrast-enhanced CT imaging by Weichao Bai, Xinhan Zhao, Qian Ning

“…We predicted TACC3 expression and evaluated its correlation with NSCLC prognosis using contrast-enhanced CT-based radiomics. …”
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Assessing and Reducing Energy Consumption of Grain Cleaning and Drying Equipment by Yu. N. Sap’yan, V. A. Kolos, M. I. Suleymanov, E. N. Kabakova

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A Novel Skeletonization Algorithm for Topologically Complex Structures: Comparative Analysis and Application to Renal Arterial Trees by Katarzyna Heryan, Stefan-Daniel Caliman

“…The method was quantitatively evaluated on artificial renal tree models using metrics such as branch count per hierarchical level and bifurcation angle fidelity. …”
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