Automatic eddy detection in the MIZ based on YOLO algorithm and SAR images by Nikita Sandalyuk, Eduard Khachatrian

“…The automatic detection and analysis of oceanic eddies within the marginal ice zone using synthetic aperture radar present significant challenges, yet are crucial for both scientific research and practical applications. Thus, we explored the feasibility of automating the eddy detection process by applying YOLOv8, a state-of-the-art computer vision model, to high-resolution synthetic aperture radar data, specifically targeting the dynamic region of the Fram Strait. …”
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Validating a smart bed against polysomnography for sleep apnea detection by Farzad Siyahjani, Kostiantyn Kalenyk, Gary Garcia-Molina, Saeed Babaeizadeh

“…The algorithm achieved an accuracy of 83.3% in identifying individuals with moderate-to-severe apnea (AHI ≥ 15), demonstrating a sensitivity of 76% and specificity of 85%. Visual inspection of signals during apnea episodes, particularly those related to CSA, confirmed the algorithm’s capability to capture meaningful physiological patterns. …”
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Neurological adverse events associated with antidepressants: a comprehensive 22-year analysis of the FDA adverse event reporting system by Qian Yu, Jingyang Yao, Enping Li, Mingkai Xia, Ziang Hu, Yun Xiao, Jianliang Huang, Jianliang Huang, Mingsheng Lei, Mingsheng Lei

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Selective engagement of long-latency reflexes in postural control through wobble board training by Theodore Deligiannis, Mahsa Barfi, Brian Schlattmann, Ken Kiyono, Damian G. Kelty-Stephen, Madhur Mangalam

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Dissecting resilience curve archetypes and properties in human systems facing weather hazards by Chia-Wei Hsu, Ali Mostafavi

“…Departing from using resilience curves as a mere concept and visual tool, the data-driven specification of resilience curve archetypes and their properties improve our understanding of the resilience patterns of human systems of communities and enable researchers and practitioners to better anticipate and analyze ways communities bounce back in the aftermath of disruptive hazard events.…”
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Application of artificial intelligence in insect pest identification - A review by Sourav Chakrabarty, Chandan Kumar Deb, Sudeep Marwaha, Md. Ashraful Haque, Deeba Kamil, Raju Bheemanahalli, Pathour Rajendra Shashank

“…Deep learning algorithms, such as convolutional neural networks (CNNs), are primarily used for AI-powered insect pest identification by categorizing insects based on their visual features through image-based classification methodology. …”
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Advantages of Using the Poincaré Method for Analyzing the Financial Condition of Agricultural Enterprises by O. G. Konyukova, I. V. Trofimenko

“…The relevance of the research lies in the priori necessity of constant current collection of statistical data on the results of financial performances of enterprises of the Omsk region, which are engaged in crop production. …”
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Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar by Silvia Giuntini, Juha Saari, Adriano Martinoli, Damiano G. Preatoni, Birgen Haest, Baptiste Schmid, Nadja Weisshaupt

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Analyzing display photometric features through time-dependent dynamics of accommodative responses and ocular imaging quality by Jianqi Cai, Shanshan Zeng, Ya Guo, Wentao Hao

“…Abstract To optimize screen quality for a better and healthier visual experience, it is essential to understand how photometric parameters impact ocular physiological parameters. …”
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Levels of Neurospecific Peptides, Neurotransmitters and Neuroreceptor Markers in the Serum of Children with Various Sensory Disorders, Mild Cognitive Impairments and Other Neuropat... by George A. Karkashadze, Leyla S. Namazova-Baranova, Leonid M. Yatsik, Olga B. Gordeeva, Elena A. Vishneva, Kamilla E. Efendieva, Elena V. Kaytukova, Natella V. Sukhanova, Natalia S. Sergienko, Julia V. Nesterova, Svetlana E. Kondratova, Madina T. Fatakhova, Alexandr V. Pashkov, Irina V. Naumova, Irina V. Zelenkova, Viktor A. Gankovskiy, Svetlana G. Gubanova, Elizaveta V. Leonova, Alina R. Pankova, Anna A. Alexeeva, Daria A. Bushueva, Tinatin Yu. Gogberashvili, Dmitriy S. Kratko, Safarbegim H. Sadilloeva, Natalia E. Sergeeva, Marina A. Kurakina, Tatiana A. Konstantinidi, Inessa A. Povalyaeva, Margarita A. Soloshenko, Mariya I. Slipka, Viktor V. Altunin, Anastasiya I. Rykunova, Tatiana A. Salimgareeva, Pavel A. Prudnikov, Nadezhda A. Ulkina, Alexey I. Firumyantc, Nikita S. Shilko, Julia E. Kazanceva

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Selective Brain Hypothermia in the Comprehensive Rehabilitation of Patients with Chronic Consciousness Disorders by M. V. Petrova, O. A. Shevelev, M. Yu. Yuriev, M. A. Zhdanova, I. Z. Kostenkova, M. M. Kanarskii

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A View of Teacher Education’s Frontier: An Exploratory Phenomenographic Study of Pre-Collegiate Conceptions of Teaching by William J. Davis

“…Five high school students considering teaching careers participated in this study, which included three interviews per participant and participants’ creation of audio, textual, and/or visual artifacts. The author’s analysis revealed six categories describing participants’ conceptions of teaching: teaching as interpreting situations; discerning approaches, routines, and patterns; relating to teachers and learners; coping with dependencies; prioritizing beliefs and motivations; and merging various factors together. …”
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Integrating AHP-Entropy and IPA Models for Strategic Rural Revitalization: A Case Study of Traditional Villages in Northeast China by Chenghao Wang, Guangping Zhang, Yunying Zhai

“…Key findings include the following: (1) significant spatial heterogeneity, with higher potential concentrated in the southeast and lower levels in the northwest; (2) cultural and socio-economic dimensions are the most influential factors in differentiating development types; and (3) a subset of villages shows a disconnect between resource endowment and realized potential, indicating the need for tailored design interventions and investment strategies. This research offers a visual and data-driven basis for differentiated revitalization strategies, integrating urban science methods, architectural thinking, and real estate development logic. …”
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Palazzo Farnese and Dong’s Fortified Compound: An Art-Anthropological Cross-Cultural Analysis of Architectural Form, Symbolic Ornamentation, and Public Perception by Liyue Wu, Qinchuan Zhan, Yanjun Li, Chen Chen

“…Methods such as CLIP-based visual clustering and BERTopic-enabled sentiment modelling were applied to extract patterns of perception and symbolic emphasis. …”
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Beyond accuracy: Multimodal modeling of structured speaking skill indices in young adolescents by Candy Olivia Mawalim, Chee Wee Leong, Guy Sivan, Hung-Hsuan Huang, Shogo Okada

“…Unlike traditional automated speaking assessments that prioritize accuracy at the expense of interpretability, our approach employs a new multimodal dataset that integrates acoustic and linguistic features, visual cues, turn-taking patterns, and expert-derived scores quantifying various speaking skill aspects observed during interviews with young adolescents. …”
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BLE Signal Processing and Machine Learning for Indoor Behavior Classification by Yi-Shiun Lee, Yong-Yi Fanjiang, Chi-Huang Hung, Yung-Shiang Huang

“…The results show that the proposed system reliably tracks user locations and identifies behavior patterns. This research supports elderly care, remote health monitoring, and non-invasive behavior analysis, providing a privacy-preserving solution for smart healthcare applications.…”
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A Review of Degradation and Reliability Analysis of a Solar PV Module by Zafar Ullah Khan, Adnan Daud Khan, Khalid Khan, Soliman Abdul Karim Al Khatib, Shahbaz Khan, Muhammad Qasim Khan, Abid Ullah

“…Lastly, we briefly describe any potential research gaps and briefly list some suggestions for additional research.…”
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Novel constructed dynamical analytical solutions and conserved quantities of the new (2+1)-dimensional KdV model describing acoustic wave propagation by Khalique Chaudry Masood, Lephoko Mduduzi Yolane Thabo

“…By selecting appropriate ranges for the involved arbitrary constants, we effectively illustrate the dynamical wave behaviours inherent in the solutions. Notably, our visual representations reveal discernible patterns characterized by periodic and kink-shaped structures, shedding light on the intricate dynamics encapsulated within the solutions. …”
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Gene expression cluster differences and molecular correlation with the STING pathway in orbital MALT lymphoma and orbital IgG4-related eye disease by Mizuki Tagami, Keishiro Isayama, Mizuho Nishio, Atsuko Yoshikawa, Norihiko Misawa, Atsushi Sakai, Yusuke Haruna, Mami Tomita, Yoichi Mizukami, Atsushi Azumi, Shigeru Honda

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The possibilities of lineament analysis using for quantitative assessment of the areas prospectivity for the hydrocarbon deposits searching (on the example of the Dnieper-Donets de... by A. Ya. Khodorovskyi, O. A. Apostolov, L. O. Yelistratova, I. F. Romanciuc

“…The use of lineaments patterns spatial orientation coincidence with the known pattern of cracks and faults orientation was proposed. …”
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