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  1. 1521
  2. 1522

    Clinical and Psychopathological Features of Mental Disorders in Patients with Poisoning by Hypotensive and Antiarrhythmic Drugs as a Result of Suicidal Acts by T. I. Dikaya, K. K. Ilyashenko, G. N. Sukhodolova, O. V. Zubareva, M. M. Potskhveriya

    Published 2024-01-01
    “…To study the clinical and psychopathological features of mental disorders in patients with acute poisoning by hypotensive and antiarrhythmic drugs as a result of suicidal acts.   …”
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    Article
  3. 1523

    Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

    Published 2024-12-01
    “…To mitigate data imbalance, a random sampling technique is applied, ensuring a balanced representation of Alzheimer’s and healthy cases. Extensive feature analysis was conducted to identify the most impactful clinical features followed by feature reduction techniques to focus on the most informative clinical features, reducing model complexity and overfitting risks. …”
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    Article
  4. 1524

    X-FASNet: cross-scale feature-aware with self-attention network for cognitive decline assessment in Alzheimer's disease by Wenhui Chen, Shunwu Xu, Yiran Peng, Yiran Peng, Hong Zhang, Jian Zhang, Huaihao Zheng, Hao Yan, Zhaowen Chen, Zhaowen Chen

    Published 2025-08-01
    “…The proposed architecture implements a dual-pathway multi-scale feature extraction approach to identify discriminative neuroanatomical patterns across various spatial resolutions, while integrating a novel cross-scale feature-aware self-attention module that enhances inter-scale information exchange and captures long-range dependencies. …”
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    Article
  5. 1525

    Multiclass leukemia cell classification using hybrid deep learning and machine learning with CNN-based feature extraction by Sazzli Kasim, Sorayya Malek, JunJie Tang, Xue Ning Kiew, Song Cheen, Bryan Liew, Norashikin Saidon, Raja Ezman, Raja Shariff

    Published 2025-07-01
    “…Pre-trained CNNs are employed for feature extraction, while the classifiers refine the predictions for improved accuracy. …”
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    Article
  6. 1526

    SIG-ShapeFormer: A Multi-Scale Spatiotemporal Feature Fusion Network for Satellite Cloud Image Classification by Xuan Liu, Zhenyu Lu, Bingjian Lu, Zhuang Li, Zhongfeng Chen, Yongjie Ma

    Published 2025-06-01
    “…To the best of our knowledge, this work is the first to transform satellite cloud data into multivariate time series and introduce a unified framework for multi-scale and multimodal feature fusion. SIG-Shapeformer consists of three core components: (1) a Shapelet-based module that captures discriminative and interpretable local temporal patterns; (2) a multi-scale Inception module combining 1D convolutions and Transformer encoders to extract temporal features across different scales; and (3) a differentially enhanced Gramian Angular Summation Field (GASF) module that converts time series into 2D texture representations, significantly improving the recognition of cloud internal structures. …”
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  7. 1527
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  9. 1529

    Random Undersampled Digital Elevation Model Super-Resolution Based on Terrain Feature-Aware Deep Learning Network by Ziqiang Huo, Meng Xi, Jingyi He, Zhengjian Li, Jiabao Wen

    Published 2025-01-01
    “…In order to solve these problems, we conducted in-depth research on the terrain feature patterns of DEMs and proposed a DEM super-resolution reconstruction network that is terrain feature-aware, named D-ResDCN. …”
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  10. 1530

    Classification of Wetlands in the Liaohe Estuary Based on MRMR-RF-CV Feature Preference of Multisource Remote Sensing Images by Lina Ke, Shilin Zhang, Yao Lu, Nan Lei, Changkun Yin, Qin Tan, Lei Wang, Daqi Liu, Quanming Wang

    Published 2025-01-01
    “…Understanding the distribution and evolutionary patterns of complex wetland types is essential for advancing wetland conservation, exploring blue carbon potentials, and supporting national carbon neutrality goals. …”
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  11. 1531
  12. 1532

    Integration of UAV-sensed features using machine learning methods to assess species richness in wet grassland ecosystems by Clara Oliva Gonçalves Bazzo, Bahareh Kamali, Murilo dos Santos Vianna, Dominik Behrend, Hubert Hueging, Inga Schleip, Paul Mosebach, Almut Haub, Axel Behrendt, Thomas Gaiser

    Published 2024-11-01
    “…RF models generally outperformed PLS models across different feature sets, with the CH + VI + GLCM combination yielding the best results. …”
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    Article
  13. 1533
  14. 1534

    Transcriptional features of autoimmune diabetes: differentially expressed genes in CD4+ and CD8+ subpopulations of blood T cells by I. I. Golodnikov, E. S. Podshivalova, V. I. Chechekhin, A. V. Zubritsky, A. A. Matrosova, Y. V. Dvoryanchikov, M. D. Samsonova, E. K. Markelova, Y. A. Medvedeva, T. V. Nikonova, E. V. Bondarenko, S. V. Popov, I. R. Minniakhmetov, M. V. Shestakova

    Published 2025-05-01
    “…When comparing LADA to T1DM, only one transcript, C20orf204, showed statistically significant differential expression (p<0.05) in CD4+ Naive T-cells.CONCLUSION: The findings indicate that LADA and T1DM share similar molecular patterns, with LADA exhibiting moderate changes in the expression of genes associated with immune regulation and inflammation. …”
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  15. 1535

    VGGBM-Net: A Novel Pixel-Based Transfer Features Engineering for Automated Coffee Bean Diseases Classification by Muhammad Shadab Alam Hashmi, Azam Mehmood Qadri, Ali Raza, Saleem Ullah, Aseel Smerat, Changgyun Kim, Muhammad Syafrudin, Norma Latif Fitriyani

    Published 2025-01-01
    “…This transformation improves feature extraction by capturing more discriminative patterns, leading to superior performance compared to conventional methods. …”
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    Article
  16. 1536

    Association between ultrasound-based biliary and parenchymal intrahepatic mass-forming cholangiocarcinoma subtypes and clinicopathological features and survival by Cong-Jian Wen, Hui Liu, Li-Ping Sun, Chong-Ke Zhao, Hao-Hao Yin, Li-Fan Wang, Ming-Rui Zhu, Yi-Kang Sun, Ya-Qin Zhang, Zi-Tong Chen, Xi Wang, Han-Sheng Xia, Hong Han, Hui-Xiong Xu, Bo-Yang Zhou

    Published 2025-06-01
    “…We aimed to subclassify MF-ICC into biliary and parenchymal types based on ultrasound (US) findings and to investigate the differences in their contrast-enhanced ultrasound (CEUS) patterns, clinicopathologic features, and prognosis. …”
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  17. 1537

    Acoustic Representation of Prosodic Cues during the Production of Persian Irony and Sarcasm in Spontaneous Discourse by Raha Koochacki, Mohammad Hossein Sharafzadeh, Ameneh Zare

    Published 2024-12-01
    “…Furthermore, there were no correlated patterns between certain types of irony and certain pitch patterns and intonational contours. …”
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  18. 1538

    Modified Gray-Level Haralick Texture Features for Early Detection of Diabetes Mellitus and High Cholesterol with Iris Image by Rinci Kembang Hapsari, Miswanto Miswanto, Riries Rulaningtyas, Herry Suprajitno, Gan Hong Seng

    Published 2022-01-01
    “…Traces related to the intensity or deviation of organs caused by the disease are recorded systematically and patterned on the iris and its surroundings. The pattern that appears on the iris can be recognized by using image processing techniques. …”
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  19. 1539

    The features of expression of constitutive isoforms of the nitric oxide synthase in paraventricular and supraoptic nuclei of the hypothalamus in hypertension of different origins by Yu. M. Kolesnyk, O. V. Hancheva, N. V. Kuzo

    Published 2015-12-01
    “…The purpose was to evaluate the features of the neuronal and endothelial nitric oxide synthase expression pattern in supraoptic and magnocellular part of paraventricular nuclei of the hypothalamus in different models of hypertension. …”
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