NeuroSafeDrive: An Intelligent System Using fNIRS for Driver Distraction Recognition by Ghazal Bargshady, Hakki Gokalp Ustun, Yasaman Baradaran, Houshyar Asadi, Ravinesh C Deo, Jeroen Van Boxtel, Raul Fernandez Rojas

“…This study introduces a novel fNIRS-based method to to classify varying levels of driver distraction across diverse simulated scenarios, including cognitive, visual–manual, and auditory sources of inattention. …”
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Performance Optimization in Three-Modality Biometric Verification using Heterogeneous CPU-GPU Computation by Bopatriciat Boluma Mangata, Pierre Tshibanda wa Tshibanda, Guy-Patient Mbiya Mpoyi, Jean Pepe Buanga Mapetu, Rostin Mabela Matendo Makengo, Eugène Mbuyi Mukendi

“…This paper proposes a method to improve the performance of tri-modal biometric verification using a heterogeneous computing system exploiting the synergy between CPU and GPU. …”
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Enhancing medical image privacy in IoT with bit-plane level encryption using chaotic map by Fatima Asiri, Wajdan Al Malwi, Tamara Zhukabayeva, Ibtehal Nafea, Abdullah Aziz, Nadhmi A. Gazem, Abdullah Qayyum

“…To address this, a novel encryption method for medical images that operates at the bit plane level, tailored for IoT environments, is developed.MethodsThe approach initializes by processing the original image through the Secure Hash Algorithm (SHA) to derive the initial conditions for the Chen chaotic map. …”
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Experiencing art together: integrating affect and semiosis by Gemma Schino, Lisa-Maria van Klaveren, Lisa-Maria van Klaveren, Lisa-Maria van Klaveren, Theisje van Dorsten, Samrddhee Pathare, Barend van Heusden, Ralf F. A. Cox

“…To examine the integration of these processes, this interdisciplinary study used a multi-method approach.MethodsEighteen dyads of adult participants took part in the study. …”
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Cam Design and Pin Defect Detection of Cam Pin Insertion Machine in IGBT Packaging by Wenchao Tian, Pengchao Zhang, Mingfang Tian, Si Chen, Haoyue Ji, Bingxu Ma

“…The profiles of the four cams were designed and verified through theoretical calculations and kinematic simulations using a seventh-degree polynomial curve fitting method. Then, image algorithms were developed to detect pin tilt defects, pin tip defects, and to provide visual guidance for pin insertion. …”
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Predictive modeling of graves’ orbitopathy activity based on meibomian glands analysis using in vivo confocal microscopy by Zixuan Su, Yayan You, Shengnan Cheng, Jiahui Huang, Xueqing Liang, Xinghua Wang, Fagang Jiang

“…Abstract Objectives This study aims to identify indicators of disease activity in patients with graves’ orbitopathy (GO) by examining the microstructural characteristics of meibomian glands (MGs) and developed a diagnostic model. Methods We employed in vivo confocal microscopy (IVCM) to examine MGs in GO patients. …”
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Automatic measurement of choroidal thickness with swept-source optical coherence tomography in chronic Vogt-Koyanagi-Harada disease: 3 years’ follow-up by Liria Yamamoto-Rodríguez, Alexander Anduaga-Beramendi, Roger Mediavilla-Vallespín, Olaia Subirà, Pere Garcia-Bru, Xavier Solanich-Moreno, Luis Arias, Josep M. Caminal, Olga García-García

“…Overall, 41.6% of asymptomatic (no change in visual acuity) recurrences in the convalescent group and 25% of recurrences in the quiescent group were detected by SS-OCT. …”
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Adaptive Curved Slicing for En Face Imaging in Optical Coherence Tomography by Mingxin Li, Phatham Loahavilai, Yueyang Liu, Xiaochen Li, Yang Li, Liqun Sun

“…A popular technique for visualizing the top view (en face) is to slice it with flat horizontal plane or apply statistical functions along the depth axis. …”
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Criteria for determining breeding‐pair status of male mallards captured in decoy traps by Michael G. Brasher, J. Brian Davis, Matthew R. Kaminski, Robert B. Emery, Richard M. Kaminski, Guy A. Baldassarre

“…ABSTRACT Methods for accurately determining pair status of male ducks during the breeding season are necessary for further understanding the roles of paired and unpaired males in waterfowl breeding populations. …”
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Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence by Tejas Kadengodlu Bhat, Krishnaraj Chadaga, Niranjana Sampathila, Swathi KS, Rajagopala Chadaga, Shashikiran Umakanth, Srikanth Prabhu

“…This leads to a necessity to develop a method to diagnose MI’s early, preventing further complications such as irregular heart rhythm, heart failure or even cardiac arrest. …”
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Sensing Techniques for Structural Health Monitoring: A State-of-the-Art Review on Performance Criteria and New-Generation Technologies by Ali Mardanshahi, Abhilash Sreekumar, Xin Yang, Swarup Kumar Barman, Dimitrios Chronopoulos

“…While many existing reviews focus on individual methods, comprehensive cross-method comparisons have been limited due to the highly tailored nature of each technology. …”
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Improving Moving Insect Detection with Difference of Features Maps in YOLO Architecture by Angel Gomez-Canales, Javier Gomez-Avila, Jesus Hernandez-Barragan, Carlos Lopez-Franco, Carlos Villaseñor, Nancy Arana-Daniel

“…Insect detection under real-field conditions remains a challenging task due to factors such as lighting variations and the small size of insects that often lack sufficient visual features for reliable identification by deep learning models. …”
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Ceramic soft tissue trimming bur: A new tool for gingival depigmentation by Rohini Negi, Rajan Gupta, Parveen Dahiya, Mukesh Kumar, Vrishti Bansal, Japnit Kaur Samlok

“…Several techniques have been employed such as scalpel surgery, electrosurgery, cryosurgery, chemical agents, abrasion and LASER method for the removal of melanin hyper-pigmentation. …”
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Power Transmission Corridors Wildfire Detection for Multi-Scale Fusion and Adaptive Texture Learning Based on Transformers by Yicen Liu, Xi Liu, Zhikun Zheng, Shimin Luo, Yongjun Xiao, Shuxian Wang, Xiaojiang Liu, Zhenhong Sun

“…Extensive experiments demonstrate that our method achieves superior performance, with an mAP50 of 72.9% and an mAP50-95 of 39.3%, significantly outperforming state-of-the-art baselines in detecting wildfires under real-world, cluttered conditions.…”
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Artificial neural networks analysis for non-newtonian nanofluid flow with variable viscosity and MHD effects in wire covering processes by Maria Altaib Badawi, Zeeshan, Nehad Ali Shah, Imed Boukhris, Adel Thaljaoui

“…In the realm of artificial neural networks, the Levenberg-Marquardt Algorithm is characterized by its innovative stability and produces a computational resolution of the wire covering for third grade nanofluid flow (WC-TGNFF) utilizing regression plots (RP), histogram visualizations, state transition metrics, and mean squared errors (MSE). …”
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Optimization of Anesthetic Provision During Operations on the Foot by D. S. Yasnev, A. V. Zabusov, S. V. Larionov, P. A. Lyubashevsky, P. S. Zhbannikov

“…Stress — limiting action of a preparation was showed including reduction in comparison with the control leucocitosis and neutrophil shift of leucocitar formulas in the postoperative period, absence of episodes hiperglicemiya. Offered method permits raise of duration of the analgetick effect of spinal anaesthesia, evade appointment in postoperative period opioid analgeticks, improve results of surgical treatment at the expense of normalization of the regional haemodinamicks and avert isemiya of local tissue.…”
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Non-Local Problems for the Fractional Order Diffusion Equation and the Degenerate Hyperbolic Equation by Menglibay Ruziev, Roman Parovik, Rakhimjon Zunnunov, Nargiza Yuldasheva

“…The uniqueness of the solution is established using the energy integral method, while the existence of the solution is equivalently reduced to solving Volterra integral equations of the second kind and a fractional differential equation. …”
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Enhanced Rail Surface Defect Segmentation Using Polarization Imaging and Dual-Stream Feature Fusion by Yucheng Pan, Jiasi Chen, Peiwen Wu, Hongsheng Zhong, Zihao Deng, Daozong Sun

“…Rail surface defects pose significant risks to the operational efficiency and safety of industrial equipment. Traditional visual defect detection methods typically rely on high-quality RGB images; however, they struggle in low-light conditions due to small, low-contrast defects that blend into complex backgrounds. …”
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Feeding ecology and epizootological value of the Great Cormorant (<i>Phalacrocorax carbo</i>) during the secondary expansion of the Baikal region by E. N. Yelayev, Ts. Z. Dorzhiev, A. A. Ananin, S. V. Pyzhyanov, G. A. Yankus, E. N. Badmaeva, M. S. Mokridina, L. D. Bazarov

“…., 1758) ecology during the secondary expansion of the Baikal region.Material and Methods. The material for studying cormorant nutrition was 28 stomachs of harvested birds, visual observations of feeding cormorants using optical equipment, as well as regurgitated burps of nutrition obtained by a bloodless method when being fed to chicks. 21 examples of cormorants were the subjects of the parasitological research.Results. …”
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Rationalising blood tests in a resource-limited emergency unit: A quality improvement project by Renette Esterhuizen, Lilani I. Tribelhorn, Danielle M.J. Thomas, Eugenne Elliott, Talat Habib, Arun Nair

“…This project was conducted during the family medicine rotation of interns at a tertiary hospital in a semi-urban area. Methods: The Plan-Do-Study-Act (PDSA) method was employed. …”
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