Advanced Human Pose Estimation and Event Classification Using Context-Aware Features and XGBoost Classifier by Wasim Wahid, Aisha Ahmed AlArfaj, Ebtisam Abdullah Alabdulqader, Touseef Sadiq, Hameedur Rahman, Ahmad Jalal

“…HPE, crucial in applications like sports analysis and surveillance systems, involves predicting human joint locations from images and videos. …”
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Balancing resource utilization and slice dissatisfaction through dynamic soft slicing for 6G wireless networks by Zeinab Sasan, Siavash Khorsandi

“…However, this approach introduces challenges, including potential violations of Quality of Service (QoS) guarantees and reductions in allocated resources compared to initial provisions. …”
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Automatic Voltage Regulator Betterment Based on a New Fuzzy FOPI+FOPD Tuned by TLBO by Mokhtar Shouran, Mohammed Alenezi

“…Key findings demonstrate significant reductions in peak overshoot, peak undershoot, and settling time, emphasizing the proposed controller’s effectiveness. …”
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Adaptive fusion of multi-cultural visual elements using deep learning in cross-cultural visual communication design by HuPei Wang

“…Implementation in e-commerce, educational, and financial service applications showed significant improvements in user engagement, task efficiency, and conversion rates. …”
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Features of Structural Hardware Transformation of Information in Cryptosystems by A. F. Chernyavskiy, E. I. Kozlova, Yu. A. Chernyavskiy

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Expanding the Possibilities of Modeling Signals of Telecommunications and Radioelectronics Systems by V. A. Ilyinkov, Y. S. Maisiyevich

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Filtration of histogram evaluation of probability density based on fuzzy data accessibility to a grouping interval by A. V. Ausiannikau, V. M. Kozel

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Challenges and Ethical Considerations in Implementing Assistive Technologies in Healthcare by Eleni Gkiolnta, Debopriyo Roy, George F. Fragulis

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Fractional Stochastic Van der Pol Oscillator with Piecewise Derivatives by Atul Kumar, Khursheed Alam, Mati ur Rahman, Homan Emadifar, Geeta Arora, Ahmed A. Hamoud

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Optimization of Parameters of Two-Beam Laser Twelding of Quartz Raw Materials by V. A. Emelyanov, E. B. Shershnev, Y. V. Nikitjuk, S. I. Sokolov, I. Y. Aushev

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Potential Herb-Drug Interactions Among Elderly Nursing Home Residents in Romania by Hanna Sebesi, László István Bába, Melinda Kolcsár, Zsolt Gáll, Soma Dávid

“…AIM: Our study investigates the algorithm-predicted HDIs during herb-drug coadministration among elderly patients in nursing homes in a Romanian sample. …”
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In vivo and in silico dynamics of the development of Metabolic Syndrome. by Yvonne J W Rozendaal, Yanan Wang, Yared Paalvast, Lauren L Tambyrajah, Zhuang Li, Ko Willems van Dijk, Patrick C N Rensen, Jan A Kuivenhoven, Albert K Groen, Peter A J Hilbers, Natal A W van Riel

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METHODS OF FORMING THE STRUCTURE OF KNOWLEDGE by Tatyana A. Snegiryova, Irina A. Grishanova

“…Cherepanov; taxonomy and thesaurus approach when creating a model of taxonomic structure of knowledge, as well as models of the formation of the knowledge structure.Results. The algorithm, stages and procedures of knowledge structure formation of trainees are considered in detail; the model of the given process is created; the technology of content selection of a teaching material due to the fixed time that has been released on studying of concrete discipline is shown.Scientific novelty and practical significance. …”
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Novel insights of disulfidptosis-mediated immune microenvironment regulation in atherosclerosis based on bioinformatics analyses by Huanyi Zhao, Zheng Jin, Junlong Li, Junfeng Fang, Wei Wu, J. F. Fang

“…Furthermore, a nomogram including hub genes was established that accurately predicted the occurrence of AS. The consensus clustering algorithm was used to separate patients with early atherosclerotic plaques and patients with advanced atherosclerotic plaques into two disulfidptosis subtypes. …”
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Integrated bioinformatics and clinical data identify three novel biomarkers for osteoarthritis diagnosis and synovial immune by Zheng Zhu, Bizhi Tu, Cheng Peng, Xun Xu, Peizhi Lu, Rende Ning

“…The Venn diagram, random forest, SVM-RFE algorithm, and multivariate analysis were employed to determine SID-related hub genes in OA synovium. …”
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Development and Analysis of Patient-Based Complete Conducting Airways Models. by Rafel Bordas, Christophe Lefevre, Bart Veeckmans, Joe Pitt-Francis, Catalin Fetita, Christopher E Brightling, David Kay, Salman Siddiqui, Kelly S Burrowes

“…Other studies have incorporated an algorithmic approach to extrapolate CT segmented airways in order to obtain a complete conducting airway tree down to the level of the acinus. …”
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A deep learning software tool for automated sleep staging in rats via single channel EEG by Andrew Smith, Snezana Milosavljevic, Courtney J. Wright, Charlie A. Grant, Ana Pocivavsek, Homayoun Valafar

“…The algorithm was able to predict key parameters of sleep architecture, including total bout duration, average bout duration, and number of bouts, with significant accuracy. …”
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Block Markov superposition transmission of LDPC codes by Qianfan Wang, Kongjing Guo, Xiao Ma

“…For decoding, the sliding window decoding algorithm with sum-product or min-sum implementations can be employed, inheriting a relatively low-latency decoding. …”
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Exothermic thermosolutal convection in a nanofluid-filled square cavity with a rotating Z-Fin: ISPH and AI integration by Kuiyu Cheng, Abdelraheem M. Aly, Nghia Nguyen Ho, Sang-Wook Lee, Andaç Batur Çolak, Weaam Alhejaili

“…The ANN model, employing the Levenberg–Marquardt algorithm, achieved a coefficient of determination $ R = 0.99994 $ and a mean squared error $ \text{MSE} = 4.21\times {10}^{-6} $, demonstrating its reliability in predicting thermal performance. …”
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Large language models for accurate disease detection in electronic health records: the examples of crystal arthropathies by Kim Lauper, Denis Mongin, Nils Bürgisser, Samia Mehouachi, Clement P. Buclin, Delphine S. Courvoisier, Etienne Chalot

“…The framework was further validated on 600 paragraphs assessing ‘Calcium Pyrophosphate Deposition Disease (CPPD)’.Results The LLM-based algorithm outperformed the regex method, achieving a 92.7% (88.7%–95.4%) positive predictive value, a 96.6% (94.6%–97.8%) negative predictive value and an accuracy of 95.4% (93.6%–96.7%) for gout. …”
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