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    A correlation research of Ki67 index, CT features, and risk stratification in gastrointestinal stromal tumor by Huali Li, Gang Ren, Rong Cai, Jian Chen, Xiangru Wu, Jianxi Zhao

    Published 2018-09-01
    “…Conclusions Our findings suggest that the Ki67 index is an effective complementation in predicting the prognosis of GISTs, and CT features including size, contour, and margin of the tumor, presence of necrosis or cystic degeneration, and pattern of enhancement provide evidence to support the importance of preoperative assessment.…”
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    Article
  4. 1404

    Extracting of Fault Features for Rotating Machinery of High-speed Train Based on EEMD Energy Entropy-LPP by Chen ZHANG, Tao FANG, Kaiqi YAN

    Published 2021-01-01
    “…By combining EEMD, energy entropy and LPP, the vibration signal was subjected to EEMD adaptive decomposition, and the energy entropy of the high-frequency IMF component was calculated to obtain a high-dimensional feature vector set to complete the preliminary feature extraction; then the high-dimensional feature vector was converted by the LPP algorithm set projection to low-dimensional space to further extract features to form a low-dimensional sample set, which reduced the complexity of feature data while preserving the local geometric information of fault features, while improved the classification performance of fault pattern recognition; finally, the low-dimensional sample set was input to the KNN classifier for fault recognition. …”
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    Chemometric analysis of ethoxylated polymer products using extracted MALDI-TOF-MS peak distribution features. by Elizabeth Dickinson, Richard N Cawthorne, Peter Dodds, Graham M Atkinson, Pablo F García Thomas, Lucy Jones, Molly Crosbie, Janet Cook, Julie Wilson

    Published 2025-01-01
    “…We show that overlapping peak distributions from the different ethoxylated constituents of natural raw materials can be resolved, so that features of the individual distributions (m/z at distribution maximum, intensity at the distribution maximum, width of the distribution at half height, and ratio of the distribution to the major peak distribution) can be extracted and used with statistical pattern recognition techniques to study ethoxylated products. …”
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  8. 1408

    Explainable semi-supervised model for predicting invasion depth of esophageal squamous cell carcinoma based on the IPCL and AVA patterns by Liumin Kang, Jinzhou Zhu, Haoxiang Ni, Shiqi Zhu, Lihe Liu, Jiaxi Lin, Yu Wang, Xiaohua Shi, Rui Li

    Published 2025-07-01
    “…Furthermore, Grad-CAM was for visualized explanation of images; local interpretation, feature importance, and partial dependence plots were conducted for classifiers; and t-SNE was for visualization of feature vectors. …”
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  9. 1409

    A Quantitative Method for Characterizing the Spatial Layout Features of Ethnic Minority Rural Settlements in Southern China by Xi Luo, Jian Zhang

    Published 2025-05-01
    “…On this basis, the spatial layout features of rural settlement are extracted, and corresponding characteristic maps are constructed. …”
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  10. 1410

    Perplexing Case of IgG4-Related Mastitis: Hitherto Undescribed Contrast-Enhanced Mammography Features by Veenu Singla, Dollphy Garg, Debajyoti Chatterjee, Raghav Lal, Rajender Kumar Basher, Siddhant Khare

    “…To the best of our knowledge, this case is the first report in the literature to illustrate the CEM features of IgG4-RM, offering novel imaging insights into this underrecognized entity.…”
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  11. 1411

    An Efficient Text-Mining Framework of Automatic Essay Grading Using Discourse Macrostructural and Statistical Lexical Features by Husam M. Alawadh, Talha Meraj, Lama Aldosari, Hafiz Tayyab Rauf

    Published 2024-12-01
    “…Moreover, the proposed study covered four different aspects of student-written essays and extracted cohesion features via sentence connectivity, coherence via sentence relatedness, statistical lexical features via the Term Frequency (TF)-Inverse Document Frequency (IDF) method, and discourse macrostructural features via calculating the unique pattern of each essay. …”
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    Spatial pattern of woody plant species richness and composition in primary warm temperate evergreen forest in Kasugayama Hill, Japan by Shuntaro Watanabe, Yuri Maesako, Tomoya Inada

    Published 2024-11-01
    “…Our study also found that compositional shift along the elevational gradient was mainly caused by habitat specialization among congeneric species, suggesting that niche partitioning among closely-related species is a fundamentally important feature of the intermediate spatial scale species richness pattern. …”
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    Data-Driven Insights Into EV Charging Patterns: Machine Learning Models Reveal Key Predictors of Station Utilization in Tennessee by Seyedmehdi Khaleghian, Thanh-Nam Doan, Joe Knox, Austin Harris, Mina Sartipi

    Published 2025-01-01
    “…This study analyzes electric vehicle (EV) charging patterns and station utilization in Tennessee using machine learning (ML) techniques. …”
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    Mapping Crop Types and Cropping Patterns Using Multiple-Source Satellite Datasets in Subtropical Hilly and Mountainous Region of China by Yaoliang Chen, Zhiying Xu, Hongfeng Xu, Zhihong Xu, Dacheng Wang, Xiaojian Yan

    Published 2025-07-01
    “…A timely and accurate distribution of crop types and cropping patterns provides a crucial reference for the management of agriculture and food security. …”
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