Comparative analysis of induced vs. spontaneous models of autoimmune uveitis targeting the interphotoreceptor retinoid binding protein. by Jun Chen, Haohua Qian, Reiko Horai, Chi-Chao Chan, Yishay Falick, Rachel R Caspi

“…Unlike previously reported, IRBP-induced EAU in B10.RIII mice exhibited two distinct patterns of disease depending on clinical scores developed after onset: severe monophasic with extensive destruction of the retina and rapid loss of visual signal, or lower grade with a prolonged chronic phase culminating after several months in retinal degeneration and loss of vision. …”
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Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI by Nisreen Innab, Shtwai Alsubai, Ebtisam Abdullah Alabdulqader, Aisha Ahmed Alarfaj, Muhammad Umer, Silvia Trelova, Imran Ashraf

“…For fetal health classification, this research work makes use of cardiotocography (CTG) data containing 21 features including fetal growth, development, and physiological parameters such as heart rate and movement patterns with three target classes “normal,” “suspect,” and “pathological.” …”
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UniHSFormer X for Hyperspectral Crop Classification with Prototype-Routed Semantic Structuring by Zhen Du, Senhao Liu, Yao Liao, Yuanyuan Tang, Yanwen Liu, Huimin Xing, Zhijie Zhang, Donghui Zhang

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Attention mechanism augmented random forest model for multiple air pollutants estimation by Xinyu Yu, Man Sing Wong, Kwon-Ho Lee

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Comprehensive molecular analysis of 26 newly established human pancreatic ductal adenocarcinoma cell lines reveals two clusters with variating drug sensitivities by Ju Eun Maeng, Jae-Hyeon Kim, Soon-Chan Kim, Won-Gun Yun, Wooil Kwon, Youngmin Han, Do-Youn Oh, Sang Hyub Lee, Jin-Young Jang, Ja-Lok Ku

“…By using Moffitt’s classification method, the two clusters, C1 and C2, showed comparable expression patterns to “Basal-like” and “Classical” types, respectively. …”
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A Stepwise decision tree model for differential diagnosis of Kimura’s disease in the head and neck by Rui Luo, Gongxin Yang, Huimin Shi, Yining He, Yongshun Han, Zhen Tian, Yingwei Wu

“…Demographic and magnetic resonance imaging (MRI) data were collected, with qualitative features (e.g., skin thickening, lesion morphology, lymphadenopathy, MRI signal intensity) and quantitative variables (e.g., age, lesion size, apparent diffusion coefficients (ADCs), wash-in rate, time to peak (TTP), time-signal intensity curve (TIC) patterns) examined. …”
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Fault diagnosis and inference of hoist main bearing based on transfer learning and ontology by Fei DONG, Di ZHANG, Kunpeng GE, Junjie CHEN, Xinyue XU

“…Firstly, the collected bearing vibration signals are processed, and it uses continuous wavelet transform to decompose the original vibration signals and extract two-dimensional time-frequency images; secondly, to adaptively extract deep features from both the source and target domains, the pre-trained and fine-tuning approaches are employed for convolutional neural networks transfer learning, and it constructs a transfer convolutional neural network model to achieve adaptive extraction of deep features from both domains; then, a new supervised domain adaptation method is proposed, integrating dynamic joint distribution adaptation with enhanced separability, to further reduce the distribution differences between deep feature sets of the source and target domains while effectively enhancing the separability of feature data; finally, a patterns recognition classifier is trained based on the source domain features after domain adaptation, which achieves fault patterns recognition in the target domain. ② Hoist main bearing fault knowledge reasoning based on ontology. …”
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Application of Muscle Synergies for Gait Rehabilitation After Stroke: Implications for Future Research by Jaehyuk Lee, Kimyung Kim, Youngchae Cho, Hyeongdong Kim

“…Results: By comprehensively reviewing the consistencies and differences in the study outcomes, we emphasize the need to segment the gait cycle into specific phases (e.g., weight acceptance, push-off, foot clearance, and leg deceleration) during the treatment process of gait rehabilitation and to develop rehabilitation protocols aimed at restoring normal synergy patterns in each gait phase and fractionating reduced synergies. …”
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A Comprehensive Review on the Application of 3D Convolutional Neural Networks in Medical Imaging by Satyam Tiwari, Goutam Jain, Dasharathraj K. Shetty, Manu Sudhi, Jayaraj Mymbilly Balakrishnan, Shreepathy Ranga Bhatta

“…CNNs are particularly adept in automatically identifying complex patterns and features in pictures like X-rays, CT scans, and MRIs. …”
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Reduced sediment load and vegetation restoration leading to clearer water color in the Yellow River: Evidence from 38 years of Landsat observations by Ke Xia, Xintao Li, Taixia Wu, Shudong Wang, Hongzhao Tang, Yingying Yang

“…The results showed that YR’s FUI was generally high (mean FUI: 16.84 ± 1.85), with notable seasonal variation and spatial distribution patterns significantly influenced by dam construction and environmental features. …”
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Implementation of QKD-based system using Nano PCF for healthcare applications by Ajay Kumar Vyas, Achyutesh Dixit, Subhashish Tiwari, Prem Shankar Mishra, Dileep Kumar Gupta, Sanjeev K Srivastava, Vijay Singh

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Biomechanical optimization and reinforcement learning provide insight into transition from ankle to hip strategy in human postural control by Seongwoong Hong, Sukyung Park

“…We analyzed postural strategy changes in human responses to backward perturbations and developed a reinforcement learning (RL)-based optimization model. …”
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A Noise-Robust Deep-Learning Framework for Weld-Defect Detection in Magnetic Flux Leakage Systems by Junlin Yang, Senxiang Lu

“…To address the above challenges, this paper introduces a novel noise-robust deep-learning framework to remove the noise component in the original signal and learn its noise-invariant feature representation. This can handle the unseen noise pattern and mitigate the impact of dynamic noises on MFL inspection systems. …”
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THE ROLE OF FINANCIAL LAW DURING FINANCIAL CRISES AND RESTORATION OF ECONOMIC STABILITY by Andrii Borovyk, Oleksandr Kravchenko, Dmytro Makharynets

“… The modern global financial system is a complex dynamic mechanism whose stable functioning is a prerequisite for the development of both national economies and the global economy as a whole. …”
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Enhanced automated art curation using supervised modified CNN for art style classification by Weiwei Li

“…To address these challenges, we developed a Modified CNN model capable of distinguishing art styles and movements using features such as color patterns, textures, and compositions. …”
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Emily Brontë’s Wuthering Heights in EFL Classroom: Writing Skills Focus by Rukaiya Akter Mukta, Md. Shahjahan Kabir, Farhana Yeasmin

“…This is because a literary text encompasses various features related to language and linguistics. The exploration and utilization of these features in a language classroom can significantly advance students’ language skills, as literature leaves a lasting impact on their minds. …”
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Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays by Nourhan Zayed, Nahed Tawfik, Mervat M. A. Mahmoud, Ahmed Fawzy, Young-Im Cho, Mohamed S. Abdallah

“…Their importance resides in their capacity to acquire hierarchical features, which is essential for recognizing complex patterns. …”
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COMPOSITION AND ZOOGEOGRAPHICAL DISTRIBUTION OF MAMMALS OF THE CAUCASUS by A. M. Batchiev

“…The obtained results allow us to identify and clarify the naturally existing in the course of historical development the modern faunal connections, patterns of the Caucasus theriofauna genesis. …”
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Petrogenesis and tectonic evolution of tourmaline- bearing leucogranites, Sikait area, South Eastern Desert of Egypt utilizing mineralogical and bulk rock analysis by Gehad M. Saleh, Mohamed S. Kamar, Farrage M. Khaleal, Mokhles K. Azer, Taher Nasr, El Saeed R. Lasheen

“…They are depleted in ∑REEs (av. 19.1 ppm) and reveal parallel, uniform patterns slightly notable depletion of HREEs in comparison with LREEs. …”
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Targeting SPATS2 in lung adenocarcinoma: implications for prognosis and immune-based therapy by Maorong Teng, Fangtao Yan, Jingping Shang, Xiaohua Sun, Yahui Wang, Jian Shen

“…Methods We integrated transcriptomic data from TCGA, GTEx, and GEO databases to evaluate SPATS2 expression patterns and their associations with clinical features and prognosis in LUAD. …”
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