Force‐Triggered Non‐Volatile Multilevel Mechano‐Optical Memory System for Logic Computation and Image Recognition by Jiaxing Guo, Feng Guo, Hang Yang, Tianhong Zhou, Xiaona Du, Rui Gao, Haisheng Chen, Minghao Hu, Weiwei Liu, Yang Zhang, Dong Tu, Jianhua Hao

“…Furthermore, neuromorphic visual pattern pre‐processing is implemented, resulting in a substantial increase in recognition accuracy from 20% to 80%. …”
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Computational paradigm for Mg-Li alloy innovation: Decoding atomic doping mechanisms for targeted property enhancement by Wei Cheng, Ben Jia, Zhicheng Dong, Zhengying Wu, Xin Zhao, Xiaopeng Wan, Zhuo Liu, Heyuan Huang

“…However, most existing studies adopt a top-down analysis approach, and the explanation of the strengthening mechanism of doped atoms is still shallow, failing to fully leverage the economic and efficiency advantages of computer-aided technology. This work systematically sorts out the core role of DFT in explaining the strengthening mechanism of metals, and through the construction of theoretical models and simulation calculations, reveals the electronic structure and chemical bond change rules at the atomic scale; it focuses on reviewing how DFT has helped to analyze the influence mechanisms of different doped elements on the crystal structure, mechanical properties, and corrosion resistance of Mg-Li alloys during their development process; and it discusses the application of DFT in the functional design of Mg-Li alloys. …”
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A Spiking Neural Network With Adaptive Graph Convolution and LSTM for EEG-Based Brain-Computer Interfaces by Peiliang Gong, Pengpai Wang, Yueying Zhou, Daoqiang Zhang

“…Electroencephalography (EEG) signals classification is essential for the brain-computer interface (BCI). Recently, energy-efficient spiking neural networks (SNNs) have shown great potential in EEG analysis due to their ability to capture the complex dynamic properties of biological neurons while also processing stimulus information through precisely timed spike trains. …”
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Ves-GAN: Unsupervised Vessel-Targeted Low-Dose Coronary Computed Tomography Angiography Denoising Framework by Xinyuan Xiang, Jiayue Li, Yan Yi, Yining Wang, Sixing Yin, Xiaohe Chen

“…Objective: This study aims to develop an unsupervised denoising framework for low-dose coronary computed tomography (CT) angiography (LDCTA), which reduces noise while preserving vascular structures. …”
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Comparison of computed tomography–guided core needle biopsy of pulmonary nodules performed with and without the coaxial technique by Qun-Qun Zhu, Li Zhang, Fengfei Xia, Yi-Bing Shi, Lei Zhu, Xian-Xian Liang

“…Introduction: Computed tomography (CT)-guided core needle biopsy (CNB) is a common method for diagnosing pulmonary nodules (PNs). …”
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Multiscale computational evaluation of Vitex trifolia phytochemicals as VEGFR2 inhibitors for targeted breast cancer therapy. by Arooj Fatima, Muhammad Umer Khan, Saooda Ibrahim, Iqra Khurram, Qasim Ammar, Raima Rehman, Alaa S Alhegaili, Raghad S Alhejaili, Nawal Alsubaie, Muhammad Ikram Ullah

“…VEGFR2, a key angiogenesis regulator, presents a potential target for inhibiting the angiogenic process essential for tumor growth. The present study aimed to investigate the therapeutic potential of phytochemicals of Vitex trifolia to inhibit VEGFR2 for BC. …”
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Elegante+: A Machine Learning-Based Optimization Framework for Sparse Matrix–Vector Computations on the CPU Architecture by Muhammad Ahmad, Sardar Usman, Ameer Hamza, Muhammad Muzamil, Ildar Batyrshin

“…However, due to the sparsity patterns of matrices and the diverse configurations of hardware, accurately modeling the performance of SpMV remains a complex challenge. SpMV computation is often a time-consuming process because of its sparse matrix structure. …”
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Development of a Computer Vision-Based Method for Sizing and Boat Error Assessment in Olive Pitting Machines by Luis Villanueva Gandul, Antonio Madueño-Luna, José Miguel Madueño-Luna, Miguel Calixto López-Gordillo, Manuel Jesús González-Ortega

“…To address these challenges, this study presents a novel computer vision (CV) system integrated into a commercial DRR machine. …”
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Joint Caching and Computation in UAV-Assisted Vehicle Networks via Multi-Agent Deep Reinforcement Learning by Yuhua Wu, Yuchao Huang, Ziyou Wang, Changming Xu

“…Unmanned Aerial Vehicle (UAV)-assisted Mobile Edge Computing (MEC), which deploys computing and storage resources at the network edge, offers a promising solution. …”
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EDUCATIONAL COMPUTER GAME MATERI LISTRIK DINAMIS SEBAGAI MEDIA PEMBELAJARAN FISIKA UNTUK SISWA SMA by T. H. Purnomo, - Sugiyanto, I. Akhlis

“…Untuk mengatasi haltersebut penulis mengembangkan multimedia pembelajaran berbentuk game komputer edukasi (educational computer game)yang diterapkan pada pokok bahasan listrik dinamis. …”
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Segmentation of renal structures based on contrast computed tomography scans using a convolutional neural network by I. М. Chernenkiy, M. M. Chernenkiy, D. N. Fiev, E. S. Sirota

“…Data included all phases of contrast-enhanced multispiral computed tomography. We split the data: 32 observations for the training set and 9 – for the validation set. …”
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Angiogenesis Dynamics: A Computational Model of Intravascular Flow Within a Structural Adaptive Vascular Network by Sahar Jafari Nivlouei, Ana Guerra, Jorge Belinha, Naside Mangir, Sheila MacNeil, Christiane Salgado, Fernando Jorge Monteiro, Renato Natal Jorge

“…Results: The model successfully predicts the branching process with a total capillary volume fraction deviation of less than 15% compared to experimental data. …”
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Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study by Mohammed A Almanna, Lior M Elkaim, Mohammed A Alvi, Jordan J Levett, Ben Li, Muhammad Mamdani, Mohammed Al‑Omran, Naif M Alotaibi

“… Abstract BackgroundGiven the recent evolution and achievements in brain-computer interface (BCI) technologies, understanding public perception and sentiments toward such novel technologies is important for guiding their communication strategies in marketing and education. …”
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Multi-scale computational fluid dynamics and machine learning integration for hydrodynamic optimization of floating photovoltaic systems by Fadhil Khadoum Alhousni, Samuel Chukwujindu Nwokolo, Edson L. Meyer, Theyab R. Alsenani, Humaid Abdullah Alhinai, Chinedu Christian Ahia, Paul C. Okonkwo, Yaareb Elias Ahmed

“…Abstract This paper presents a new and multidisciplinary systematic analysis of floating photovoltaic (FPV) systems that integrates recent advances in computational modelling and intelligent optimization to address persistent issues with performance, hydrodynamics, and adaptability. …”
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A computational-based new treatment strategy with three-armed RCT on Mycoplasma pneumoniae pneumonia in children by Chengliang Zhong, Qingyuan Liu, Shengxuan Guo, Deyang Sun, Boyang Wang, Siyuan Hu, Xinmin Li, Weibo Zhao, Ying Ding, Bin Yuan, Jing Liu, Long Xiang, Nan Li, Zheng Xue, Yan Li, Yiqun Teng, Rongsong Yi, Shao Li, Rong Ma

“…The research program composed of computational prediction and clinical trials can significantly accelerate the research and development process and identify more effective treatment with good safety, which is worthy of clinical promotion. …”
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A clinical trial evaluating feasibility and acceptability of a brain-computer interface for telerehabilitation in patients with stroke by Salem Mansour, Joshua Giles, Krishnan P. S. Nair, Rebecca Marshall, Ali Ali, Mahnaz Arvaneh

“…This innovative system merges brain-computer interface (BCI) and functional electrical stimulation (FES) technologies to rehabilitate upper limb function following a stroke. …”
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Research on Real Time Data Processing and Application of Urban Rail Train by ZENG Gaoping, WANG Lei

“…The data platform completes rapid processing of real-time data stream sent by the onboard device with the help of high-concurrency asynchronous IO framework, message queue, stream computing, storage engine and other big data processing components; efficient real-time interaction and flexible application of real-time data are realized with database, active data push and other technologies. …”
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Programmable Metamaterials with Perforated Shell Group Supporting Versatile Information Processing by Xiaoyuan Ma, Ziran Wang, Weipeng Zhang, Peng Yan

“…Note that most representative results in the literature focused on certain features of information processing with the designs of novel metamaterials. …”
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Immersive Virtual Reality as Computer-Assisted Cognitive–Motor Dual-Task Training in Patients with Parkinson’s Disease by Lucie Honzíková, Marcela Dąbrowská, Irena Skřinařová, Kristýna Mullerová, Renáta Čecháčková, Eva Augste, Jana Trdá, Šárka Baníková, Michal Filip, David Školoudík, Iva Štefková, Vojtěch Štula

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Trajectory-Based Morphological Operators: A Model for Efficient Image Processing by Antonio Jimeno-Morenilla, Francisco A. Pujol, Rafael Molina-Carmona, José L. Sánchez-Romero, Mar Pujol

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