Machine Learning Applications in Use-Wear Analysis: A Critical Review by Anastasia Eleftheriadou, Shannon P. McPherron, João Marreiros

“…Use-wear analysis examines the macroscopic and microscopic patterns of traces left on tool surfaces as a result of use. …”
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Toward accurate and scalable rainfall estimation using surveillance camera data and a hybrid deep-learning framework by Fiallos-Salguero Manuel, Soon-Thiam Khu, Jingyu Guan, Mingna Wang

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Review: Multiobject tracking in livestock − from farm animal management to state-of-the-art methods by M.H. Nidhi, K. Liu, K.J. Flay

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DSCnet: detection of drug and alcohol addiction mechanisms based on multi-angle feature learning from the hybrid representation of EEG by Jing Wu, Nan Zhang, Qilei Ye, Xiaorui Zheng, Minmin Shao, Xian Chen, Hui Huang

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Attention-Guided Sample-Based Feature Enhancement Network for Crowded Pedestrian Detection Using Vision Sensors by Shuyuan Tang, Yiqing Zhou, Jintao Li, Chang Liu, Jinglin Shi

“…In complex and variable urban settings, these compounded occlusion patterns critically limit the efficacy of both one-stage and two-stage pedestrian detectors, leading to suboptimal detection performance. …”
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The Integration of Micro-CT Imaging and Finite Element Simulations for Modelling Tooth-Inlay Systems for Mechanical Stress Analysis: A Preliminary Study by Nikoleta Nikolova, Miryana Raykovska, Nikolay Petkov, Martin Tsvetkov, Ivan Georgiev, Eugeni Koytchev, Roumen Iankov, Mariana Dimova-Gabrovska, Angela Gusiyska

“…The approach enables the visualisation of stress and deformation patterns, with preliminary results indicating stress concentrations at the tooth-restoration interface integrating different cavity alternatives and restorations on the same tooth. …”
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Impact of Generation Rate of Speech Imagery on Neural Activity and BCI Decoding Performance: A fNIRS Study by Zengzhi Guo, Lisheng Xu, Wenjun Tan, Fei Chen

“…Brain-computer interface (BCI) enables stroke patients to actively modulate neural activity, fostering neuroplasticity and thereby accelerating the recovery process. …”
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In Silico Identification and Characterization of Spiro[1,2,4]triazolo[1,5-<i>c</i>]quinazolines as Diacylglycerol Kinase α Modulators by Lyudmyla Antypenko, Kostiantyn Shabelnyk, Oleksii Antypenko, Mieko Arisawa, Oleksandr Kamyshnyi, Valentyn Oksenych, Serhii Kovalenko

“…Notably, compound <b>33</b> (adamantyl-substituted) emerged as exceptionally promising, exhibiting strong binding affinity, moderate solubility, and selective CYP inhibition patterns that minimize drug–drug interaction risks. …”
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A Novel 3D Paradigm for Target Expansion of Augmented Reality SSVEP by Beining Cao, Charlie Li-Ting Tsai, Nan Zhou, Thomas Do, Chin-Teng Lin

“…Steady-State Visual Evoked Potentials (SSVEP) have proven to be practical in Brain-Computer Interfaces (BCI), particularly when integrated with augmented reality (AR) for real-world application. …”
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Comparing Minor Connector Castability of Printed Cast Partial Dentures to Conventional Cast Partial Dentures: An In-vitro Study by Meghna Budati, Suresh Venugopalan

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Age- and sex-specific normative curves for intracranial and ventricular volumes from head CT scans by Pedro Vinicius Alves Silva, Bruna Garbes Goncalves Pinto, Gabriel Ferracioli, Klaus Schumacher, Artur Jose Marques Paulo, Luis Alvaro Correia, Mariana Curi, Mateus Trinconi Cunha, Joselisa Peres Queiroz de Paiva, Tatiana Larissa Medeiros Arcanjo Marques, Rafael Maffei Loureiro

“…This study aims to establish age- and sex-specific normative curves for intracranial (ICV) and lateral ventricular volumes (LVV) using computed tomography (CT), addressing a significant gap in the literature. …”
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Multisensory BCI promotes motor recovery via high-order network-mediated interhemispheric integration in chronic stroke by Rongrong Lu, Zhen Pang, Tianhao Gao, Zhijie He, Yiqian Hu, Jie Zhuang, Qin Zhang, Zhengrun Gao

“…This study introduces a novel multi-modal sensory feedback brain-computer interface (Multi-FDBK-BCI) system that integrates proprioceptive, tactile, and visual stimuli into motor imagery-based training. …”
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Unraveling EEG correlates of unimanual finger movements: insights from non-repetitive flexion and extension tasks by Qiang Sun, Eva Calvo Merino, Liuyin Yang, Marc M. Van Hulle

“…Electroencephalography (EEG)-based brain-computer interfaces that actuate neuroprostheses directly via decoded motor intentions can help restore lost finger mobility. …”
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Cytokine profile in hospitalized patients with COVID-19 of different severity by N. Yu. Grigoryeva, A. A. Sinichkina, M. O. Samoliuk, K. S. Kolosova, E. V. Korolеva, E. V. Kondakova, M. V. Vedunova

“…The average lung involvement according to computed tomography (CT) at admission was CT-2 [1;3]. …”
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Age-Related Changes in Action Observation EEG Response and Its Effect on BCI Performance by Fukang Zeng, Xingyu Wen, Hongmei Tang, Guiyu Hu, Wensheng Hou, Xin Zhang

“…Action observation-based brain-computer interface (AO-BCI) can simultaneously elicit steady-state motion visual evoked potential in the occipital region and sensorimotor rhythm in the sensorimotor region, demonstrating substantial potential in neurorehabilitation applications. …”
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Towards accurate and efficient diagnoses in nephropathology: An AI-based approach for assessing kidney transplant rejection by Alexey Fayzullin, Elena Ivanova, Victor Grinin, Dmitry Ermilov, Svetlana Solovyeva, Maxim Balyasin, Alesia Bakulina, Pavel Nikitin, Yana Valieva, Alina Kalinichenko, Alexander Arutyunyan, Aleksey Lychagin, Peter Timashev

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Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitis by Alessio Gerussi, Oliver Lester Saldanha, Giorgio Cazzaniga, Damiano Verda, Zunamys I. Carrero, Bastian Engel, Richard Taubert, Francesca Bolis, Laura Cristoferi, Federica Malinverno, Francesca Colapietro, Reha Akpinar, Luca Di Tommaso, Luigi Terracciano, Ana Lleo, Mauro Viganó, Cristina Rigamonti, Daniela Cabibi, Vincenza Calvaruso, Fabio Gibilisco, Nicoló Caldonazzi, Alessandro Valentino, Stefano Ceola, Valentina Canini, Eugenia Nofit, Marco Muselli, Julien Calderaro, Dina Tiniakos, Vincenzo L’Imperio, Fabio Pagni, Nicola Zucchini, Pietro Invernizzi, Marco Carbone, Jakob Nikolas Kather

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A Neutrosophic Framework for Artificial Immune Systems by Florentin Smarandache, Antonios Paraskevas

“…A numerical example, from the field of computer security, illustrates the application of the suggested approach in detecting non-self entities. …”
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Deep Learning-Driven Beam-Steering for Dual-Polarized 28 GHz Antenna Arrays in 5G Wireless Networks by Siti Zainab M. Zainab Hamzah, Norun Farihah Abdul Malek, Sarah Yasmin Mohamad, Farah Nadia Mohd Isa, Teddy Surya Gunawan, Kuo-Sheng Chin

“…The radiation pattern was computed using AEP method since it is faster and less complex compared to full-wave modelling methods. …”
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Fault diagnosis of micro gas turbine using a hybrid scheme of thermodynamic analysis and artificial neural network by S.S. Talebi, A. Madadi, A.M. Tousi

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