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  1. 1601
  2. 1602

    Imitating Human Go Players via Vision Transformer by Yu-Heng Hsieh, Chen-Chun Kao, Shyan-Ming Yuan

    Published 2025-01-01
    “…Using a dataset from the KGS Go server, our ViT-based model achieves 51.49% accuracy in predicting expert moves with a simple feature set. Comparative analysis against CNN-based models highlights the ViT’s superior performance in capturing patterns and replicating expert strategies. …”
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  3. 1603

    Entropy difference-based EEG channel selection technique for automated detection of ADHD. by Shishir Maheshwari, Kandala N V P S Rajesh, Vivek Kanhangad, U Rajendra Acharya, T Sunil Kumar

    Published 2025-01-01
    “…To verify the effectiveness of the channels selected, we explored three sets of features and classifiers. More specifically, we explored discrete wavelet transform (DWT), empirical mode decomposition (EMD) and symmetrically-weighted local binary pattern (SLBP)-based features. …”
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  4. 1604
  5. 1605

    A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data by M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin

    Published 2025-07-01
    “…In this work, we present QProteoML as an integration of quantum techniques purposefully developed to deal with high-dimensional, imbalanced and redundant data. …”
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  6. 1606

    Breeding of a new mid-to-late ripening apple cultivar Wangyuebingcui by XU Haihong, YANG Kai, LI Guangjin, ZHANG Guoqiang, TIAN Ge, AI Bohao, LI Xuqiang, WANG Junya

    Published 2025-08-01
    “…The cultivar combines high budbreak rate with moderate branching capacity, exhibiting spur-type growth pattern, sustained cluster-base productivity, and axillary flowering propensity. …”
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  7. 1607

    Application of EMD, ANN and DNN for Self-Aligning Bearing Fault Diagnosis by Narendiranath Babu THAMBA, Arun ARAVIND, Abhishek RAKESH, Mohamed JAHZAN, Rama Prabha D.

    Published 2018-01-01
    “…Time domain and time-frequency domain features are then extracted which are used to implement the neural networks through the pattern recognition tool in MATLAB. …”
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  8. 1608

    Dermatomyositis-Associated Interstitial Lung Disease Misdiagnosed as Pulmonary Tuberculosis by Abubakar Sadiq Maiyaki, Aminu Abbas, Ibrahim Abdullahi, Isa Musa Wasagu, Nasiru Aaltine Dankiri, Olisa Ochiagha, Farouk Kabir Umar, Aliyu Abullahi

    Published 2025-01-01
    “…Further testing revealed positive antinuclear antibodies, anti-Mi-2, and anti-Jo-1 antibodies, restrictive lung pattern on pulmonary function test and high-resolution computer tomography (HRCT) features of non-specific interstitial pneumonia (NSIP), confirming dermatomyositis-associated interstitial lung disease (DM-ILD). …”
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  9. 1609
  10. 1610

    Intelligent Diagnosis and Predictive Rehabilitation Assessment of Chronic Ankle Instability Using Shoe-Integrated Sensor System by Zhonghe Guo, Yanzhang Li, Yuchen Wang, Haoxuan Liu, Rui Guo, Jingzhong Ma, Xiaoming Wu, Dong Jiang, Tianling Ren

    Published 2025-01-01
    “…However, challenges are presented in accurately identifying CAI-related abnormal gait patterns and assessing rehabilitation effects. Traditional plantar pressure systems lack portability and can only be used in limited specific actions, while a few early proposed portable systems have demonstrated insufficient accuracy. …”
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  11. 1611

    Epidemiological and clinical characteristics of craniofacial soft tissue injuries in a plastic emergency department in Xi’an, China: a retrospective study of 22887 patients from 20... by An-an Yin, Si-qi Mu, Wen-Heng Guo, Jing Zhang, Heng-xin Liu, Chang-xin Jin, Jie Chen, Yu Dong, Bao-qiang Song, Xi Zhang

    Published 2025-03-01
    “…Abstract Objective This study aims to describe the epidemiological features of craniofacial soft tissue injuries in a major plastic emergency department in northwest China. …”
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  12. 1612

    T-cell receptor dynamics in digestive system cancers: a multi-layer machine learning approach for tumor diagnosis and staging by Changjin Yuan, Bin Wang, Hong Wang, Fang Wang, Xiangze Li, Ya’nan Zhen

    Published 2025-04-01
    “…Multi-layer machine learning-based diagnostic models were developed by leveraging motif-based feature and deep learning-based feature extraction using ProteinBERT from the 100 most abundant CDR3 sequences per sample. …”
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  13. 1613

    Characteristics of gene mutations in Vietnamese medullary thyroid carcinoma patients: a single-center analysis by Van Hung Pham, Quoc Thang Pham, Minh Nguyen, Hoa Nhat Ngo, Thao Thi Thu Luu, Nha Dao Thi Minh, Trâm Đặng, Anh Tu Thai, Hoang Anh Vu, Dat Quoc Ngo

    Published 2025-03-01
    “…Mutations in these three exons were linked to specific histopathological features. Information on mutational profiles of patients with MTC will further aid in the development of targeted therapeutics to ensure effective disease management.…”
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  14. 1614

    Co-occurrence of EIF1AX, SF3B1, or BAP1 variants in uveal melanomas: A case series and review by Henry C. Skrehot, Amer F. Alsoudi, Amy C. Schefler

    Published 2025-06-01
    “…The present case series demonstrates rare exceptions to this general pattern and speculates on the early molecular steps of UM which may lead to these rare mutation combinations.…”
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  15. 1615

    Baselining Urban Ecosystems from Sentinel Species: Fitness, Flows, and Sinks by Matteo Convertino, Yuhan Wu, Hui Dong

    Published 2025-04-01
    “…How can the shape of biodiversity inform us about cities’ ecoclimatic fitness and guide their development? Can we use species as the harbingers of climatic extremes? …”
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  16. 1616

    Cognitive and neuropsychiatric disorders in extrapyramidal diseases by O. S. Levin, M. A. Anikin, E. E. Vasenina

    Published 2014-01-01
    “…The basis for these disorders are most commonly dysfunction of one or a few parallel frontostriatal circuits combining the basal ganglia with the thalamus, limbic structures, frontal and other cortical regions into the uniform functional system. The pattern of neuropsychological disorders has both specific and common features, the discussion of which is the subject matter of this paper. …”
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  17. 1617

    Individualized lesion-symptom mapping using explainable artificial intelligence for the cognitive impact of white matter hyperintensities by Ryanne Offenberg, Alberto De Luca, Geert Jan Biessels, Frederik Barkhof, Wiesje M. van der Flier, Argonde C. van Harten, Ewoud van der Lelij, Josien Pluim, Hugo Kuijf

    Published 2025-01-01
    “…The FNN performed worse on real data (R2 = 0.020).To conclude, results show that CNNs combined with XAI can perform lesion-symptom mapping and generate individual attribution maps, which could be a valuable feature with further method development.…”
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  18. 1618

    Cardioattentionnet: advancing ECG beat characterization with a high-accuracy and portable deep learning model by Youfu He, Youfu He, Youfu He, Yu Zhou, Yu Zhou, Yu Qian, Jingjie Liu, Jinyan Zhang, Debin Liu, Qiang Wu, Qiang Wu

    Published 2025-01-01
    “…The architecture of CANet allows for effective processing of extended ECG patterns and detailed feature extraction without a substantial increase in model size.ResultsEmpirical results indicate that CANet outperformed traditional models in terms of predictive performance and stability, as confirmed by comprehensive cross-validation. …”
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  19. 1619

    Living with Credit and Installment Plans: The Situation in a Southern Kazakhstan by Murat O. Nassimov

    Published 2025-02-01
    “…In modern developed economies, the prevalence of credit usage and installment plans has become a notable feature of consumer behavior. …”
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  20. 1620

    Expression and functional analyses of the mitogen-activated protein kinase (MPK) cascade genes in response to phytohormones in wheat (Triticum aestivum L.) by Su-fei YAO, Yan-xia WANG, Tong-ren YANG, Lin HAO, Wen-jing LU, Kai XIAO

    Published 2017-01-01
    “…Mitogen-activated protein kinase (MPK) cascades consist of a set of kinase types (MPKKKs, MPKKs, MPKs) to establish conserved signal-transducing modules mediating plant growth, development as well as responses to internal and external cues. …”
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