Advanced Combined Multi-Criteria Decision-Making Methodology with IndetermSoft Set for Comprehensive Analysis of Blended Physical Education Teaching in Colleges Framework by Xueda Yang

“…This study uses five criteria and ten alternatives to be evaluated. …”
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Application of MCDM for Estimating Student Performance in University English Translation Courses under IndetermSoft Set by Qin Xu

“…Evaluating student performance in university English translation courses is a complex process that requires a comprehensive assessment of multiple factors. …”
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IFDA: Intermittent Fault Diagnosis Algorithm for Augmented Cubes Under the PMC Model by Chongwen Yuan, Chenghao Zou, Jiong Wu, Hao Feng, Jie Li

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EC-WAMI: Event Camera-Based Pose Optimization in Remote Sensing and Wide-Area Motion Imagery by Isaac Nkrumah, Maryam Moshrefizadeh, Omar Tahri, Erik Blasch, Kannappan Palaniappan, Hadi AliAkbarpour

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BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches by Pinakshi Panda, Sukant Kishoro Bisoy, Amrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, Zheshan Guo, Haipeng Liu, Prince Jain

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HECS4MQTT: A Multi-Layer Security Framework for Lightweight and Robust Encryption in Healthcare IoT Communications by Saud Alharbi, Wasan Awad, David Bell

“…Security and performance evaluations demonstrate the feasibility of the multi-layer encryption approach, effectively balancing computational overhead with data protection. …”
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Probing the role of Coniferin and Tetrahydrocurcumin from Traditional Chinese medicine against PSAT1 in early-stage ovarian cancer: An in silico study. by Jia Zhang, Shalesh Gangwar, Nagmi Bano, Shaban Ahmad, Mohammed S Alqahtani, Khalid Raza

“…In this work, we used computational approaches to find putative Traditional Chinese Medicine (TCM) inhibitors that target Phosphoserine Aminotransferase 1 (PSAT1), a crucial enzyme linked to the development of early-stage ovarian cancer. …”
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Literature review of spontaneous subarachnoid haemorrhage: treatment management and prevention (Part II) by J. Grigaitė, G. Rutkauskaitė, L. Piliponis, J. Ščerbak, D. Jatužis, J. Valaikienė

“…To avoid complications, all patients with spontaneous subarachnoid hemorrhage are recommended to undergo transcranial dopplerography daily or every other day, as well as head computed tomography, computed tomography angiography (CTA), computed tomography perfusion or digital subtraction angiography on the day of hospitalization, 3-5 and 7-10 days. …”
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A novel anti-tumor inhibitor identified by virtual screen with PLK1 structure and zebrafish assay. by Jing Lu, Shengchang Xin, Huan Meng, Matt Veldman, David Schoenfeld, Chao Che, Ruibin Yan, Hanbing Zhong, Song Li, Shuo Lin

“…The initial 10 mitoses of zebrafish embryonic cleavages occur every∼30 minutes, and therefore provide a rapid assay to evaluate mitosis inhibitors including those targeting Plk1. …”
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HSTCN-NuSVC: A Homogeneous Stacked Deep Ensemble Learner for Classifying Human Actions Using Smartphones by Sarmela Raja Sekaran, Ying Han Pang, Ooi Shih Yin, Lim Zheng You

“…The proposed HSTCN-NuSVC is evaluated using a publicly available database, i.e., UCI HAR, and a subject-independent protocol is implemented. …”
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Bisphosphonate-Related Osteonecrosis of the Jaw Bone: Radiological Pattern and the Potential Role of CBCT in Early Diagnosis by James Olutayo, Jimoh Olubanwo Agbaje, Reinhilde Jacobs, Vicky Verhaeghe, Filip Vande Velde, Frans Vinckier

“…Thus cone beam computed tomography might better contribute to the prevention of bisphosphonate-related osteonecrosis of jaw bone as well to the disease management.…”
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Analytical Insight into Some Fractional Nonlinear Dynamical Systems Involving the Caputo Fractional Derivative Operator by Mashael M. AlBaidani

“…The computational algorithms have proven their high accuracy, flexibility, effectiveness, and simplicity in evaluating fractional-order mathematical models.…”
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Simultaneous text and gesture generation for social robots with small language models by Alessio Galatolo, Alessio Galatolo, Katie Winkle

“…However, current LLM-based approaches to non-verbal behaviour often involve multi-step reasoning with large, closed-source models-resulting in significant computational overhead and limiting their feasibility in low-resource or privacy-constrained environments.MethodsTo address these limitations, we propose a novel method for simultaneous generation of text and gestures with minimal computational overhead compared to plain text generation. …”
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Data-driven hybrid SARIMAX-MLP framework for energy consumption prediction in residential micro-grid by Ibrahim Ali Kachalla, Christian Ghiaus, Adeniran Ademuwagun, Olufemi Babajide Odeyinde, Majid Baseer

“…A case study of two residential blocks, with one year six months (18 months) of energy consumption data, was utilised to evaluate the model's prediction accuracy using performance metrics (RMSE, MAE, R2) and computational cost. …”
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Overview of leakage scenarios in supervised machine learning by L. Sasse, E. Nicolaisen-Sobesky, J. Dukart, S. B. Eickhoff, M. Götz, S. Hamdan, V. Komeyer, A. Kulkarni, J. M. Lahnakoski, B. C. Love, F. Raimondo, Kaustubh R. Patil

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Identification of Novel Compounds That Bind to the HGF β-Chain In Silico, Verification by Molecular Mechanics and Quantum Mechanics, and Validation of Their HGF Inhibitory Activity... by Ko Suzuki, Keitaro Inoue, Ryota Namiguchi, Seiya Morita, Suzuho Hayakawa, Mikuri Yokota, Katsuya Sakai, Kunio Matsumoto, Shunsuke Aoki

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Avatars for the masses: smartphone-based reconstruction of humans for virtual reality by Timo Menzel, Erik Wolf, Stephan Wenninger, Niklas Spinczyk, Lena Holderrieth, Carolin Wienrich, Ulrich Schwanecke, Marc Erich Latoschik, Mario Botsch

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Optimizing IoT intrusion detection with cosine similarity based dataset balancing and hybrid deep learning by Arvind Prasad, Wael Mohammad Alenazy, Naved Ahmad, Gauhar Ali, Hanaa A. Abdallah, Sadique Ahmad

“…Incremental training evaluations reveal that bias formation reduces performance beyond a 1:2 majority-to-minority ratio. …”
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Prediction of Imbalance Prices Through Gradient Boosting Algorithms: An Application to the Greek Balancing Market by Konstantinos Plakas, Nikos Andriopoulos, Dimitrios Papadaskalopoulos, Alexios Birbas, Efthymios Housos, Ioannis Moraitis

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Enhancing Security in Smart Robot Digital Twins Through Intrusion Detection Systems by Bogdan-Valentin Vasilica, Florin-Daniel Anton, Radu Pietraru, Silvia-Oana Anton, Beatrice-Nicoleta Chiriac

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