Neural signatures of depression: classifying drug-naïve MDD patients with time- and frequency-domain EEG features during emotional processing by Bernis Sütçübaşı, Tuğçe Ballı, Barış Metin, Emine Elif Tülay

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Accelerating materials discovery: combinatorial synthesis, high-throughput characterization, and computational advances by Khurram Shahzad, Andrei Ionut Mardare, Achim Walter Hassel

“…Extensive exploration has been undertaken into three pivotal approaches: combinatorial synthesis, high-throughput characterization, and computational techniques, all aimed at unveiling new materials. …”
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A computational account of multiple motives guiding context-dependent prosocial behavior. by Claire Lugrin, Jie Hu, Christian C Ruff

“…Prosocial behaviors play a pivotal role for human societies, shaping critical domains such as healthcare, education, taxation, and welfare. …”
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A data and knowledge-driven practice for ensuring stability in ultra-large intelligent computing clusters by NIU Hongweihua, HUANG Yongbao, DING Guoqiang, HUANG Bao, ZHAO Zhiwen, XU Yang, WANG Tao, ZHANG Ruiling, WANG Xuan, ZHANG Yixiang

“…A data and knowledge-driven stability assurance scheme for such clusters was proposed to address the issues of frequent hardware failures, persistently high task training failure rates, and difficulties in cross-domain problem localization within ultra-large intelligent computing clusters with over ten thousand computing cards. …”
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Data Collection in Studies on Internet of Things (IoT), Wireless Sensor Networks (WSNs), and Sensor Cloud (SC): Similarities and Differences by Ihsan Ali, Ismail Ahmedy, Abdullah Gani, Muhammad Umair Munir, Mohammad Hossein Anisi

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Reinforcement Learning and Multi-Access Edge Computing for 6G-Based Underwater Wireless Networks by Juan Carlos Cepeda-Pacheco, Mari Carmen Domingo

“…This paper proposes an innovative AUV-based Multi-Access Edge Computing (MEC) system where cluster-heads that collect data from IoUT devices offload their associated computational tasks to local AUVs. …”
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A comprehensive survey and comparative analysis of time series data augmentation in medical wearable computing. by Md Abid Hasan, Frédéric Li, Philip Gouverneur, Artur Piet, Marcin Grzegorzek

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Neural signal analysis in chronic stroke: advancing intracortical brain-computer interface design by Nabila Shawki, Alessandro Napoli, Carlos E. Vargas-Irwin, Carlos E. Vargas-Irwin, Christopher K. Thompson, John P. Donoghue, John P. Donoghue, Mijail D. Serruya

“…IntroductionIntracortical Brain-computer interfaces (iBCIs) are a promising technology to restore function after stroke. …”
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STUDENTS’ PERCEPTION OF COMPUTER-BASED TESTING-EDUBOX– AND ITS IMPACT ON THEIR ENGLISH LEARNING MOTIVATION by Amalia Rahisa Dewi, Andang Saehu, Rahmat Budiman

“…While, the FGD result are analysed using Spreadly domain analysis method. 253 of 843 total populations are selected as the sample of the study utilizing stratified sampling. …”
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Liveness Detection in Computer Vision: Transformer-Based Self-Supervised Learning for Face Anti-Spoofing by Arman Keresh, Pakizar Shamoi

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Computational linguistics and natural language processing techniques for semantic field extraction in Arabic online news by Maulana Ihsan Ahmad, Moh. Kanif Anwari

“…It provides a comprehensive approach to processing and analyzing large volumes of Arabic news data by integrating semantic field analysis, NLP, and computational linguistics. Using quantitative methods, Arabic news articles were collected and processed with Python, a popular programming language in data analysis, and applied various NLP techniques and machine learning models to accurately extract semantic fields. …”
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EEG based real time classification of consecutive two eye blinks for brain computer interface applications by Masud Rabbani, Nafi Us Sabbir Sabith, Anubhav Parida, Iysa Iqbal, Sayed Mashroor Mamun, Rumi Ahmed Khan, Farhad Ahmed, Sheikh Iqbal Ahamed

“…The data were preprocessed and analyzed using four feature extraction techniques: basic statistical, time-domain, amplitude-driven, and frequency-domain methods. …”
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Immersive Technology for Human-Centric Cyberphysical Systems in Complex Manufacturing Processes: A Comprehensive Overview of the Global Patent Profile Using Collective Intelligence by Usharani Hareesh Govindarajan, Amy J. C. Trappey, Charles V. Trappey

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Mapping the Intellectual Structure of Computational Risk Analytics in Banking and Finance: A Bibliometric and Thematic Evolution Study by Sotirios J. Trigkas, Kanellos Toudas, Ioannis Chasiotis

“…Furthermore, our findings note a transition of CRA from an emerging to an expanding domain, especially after 2019, with terms like machine learning (ML), artificial intelligence (AI), and deep learning (DL) being identified as prominent keywords and a recent shift towards blockchain, explainability, and financial stability being present. …”
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Constructing an ontology-based knowledge graph for K-12 computer science competency via human-AI collaboration by Yulei Ye, Hanglei Hu and Bo Jiang

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Teaching and Learning with Situated Data: Socio-Technical Pedagogy and Reform at the Community Data Clinic and Biological Computer Lab by Anita Chan

“… This paper reviews how situated data methods were used to critically engage students in sociotechnical case studies drawn from campus history and archives in courses developed under the Community Data Clinic and the Biological Computer Lab at the University of Illinois at Urbana-Champaign. …”
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Three scenarios for amyloid transformation in the context of the funnel model by I. Roterman, M. Słupina, D. Dułak, L. Konieczny

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Decoding basic emotional states through integration of an fNIRS-based brain-computer interface with supervised learning algorithms. by Ayşenur Eser, Sinem Burcu Erdoğan

“…Automated detection of emotional states through brain-computer interfaces (BCIs) offers significant potential for enhancing user experiences and personalizing services across domains such as mental health, adaptive learning and interactive entertainment. …”
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Large-scale computational modelling of H5 influenza variants against HA1-neutralising antibodiesResearch in context by Colby T. Ford, Shirish Yasa, Khaled Obeid, Rafael Jaimes, III, Phillip J. Tomezsko, Sayal Guirales-Medrano, Richard Allen White, III, Daniel Janies

“…Methods: In this study, we computationally model 1804 protein complexes consisting of various H5 isolates from 1959 to 2024 against 11 haemagglutinin domain 1 (HA1)-neutralising antibodies. …”
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Adaptive deep feature representation learning for cross-subject EEG decoding by Shuang Liang, Linzhe Li, Wei Zu, Wei Feng, Wenlong Hang

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