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    Integration of wing pattern morphology and deep learning to support Plusiinae (Lepidoptera: Noctuidae) pest identification by Karina M. Torres, Chenjiao Tan, Kayla A. Mollet, Allan H. Smith-Pardo, Rui Xu, Changying Li, Silvana V. Paula-Moraes

    Published 2025-07-01
    “…This study explores the use of deep learning models and visualization techniques to explain the learned features from forewing patterns as an identification tool for SBL and differentiation from morphologically similar plusiines. …”
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    PERSONAL FEATURES OF CHILDREN AND ADOLESCENTS ILL WITH RESPIRATORY TUBERCULOSIS EXPOSED AND NOT EXPOSED TO THE SOURCE OF INFECTION by N. V. Zolotova, A. A. Akhtyamova, V. V. Streltsov, G. V. Baranova, E. S. Ovsyankina, N. V. Yukhimenko

    Published 2017-03-01
    “…Specific personal features of 296 children and adolescents exposed to tuberculosis and those with unidentified exposure were comparatively analyzed. …”
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    Multiscale Spatiotemporal Variation Analysis of Regional Water Use Efficiency Based on Multifractals by Tong Zhao, Yanan Wang, Yulu Zhang, Qingyun Wang, Penghai Wu, Hui Yang, Zongyi He, Junli Li

    Published 2024-11-01
    “…Temporally, the variation in fractal features between years was not prominent, while inter-seasonal variation was most complex in August during summer. …”
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    Evaluation of the Geomorphon Approach for Extracting Troughs in Polygonal Patterned Ground Across Different Permafrost Environments by Amin Wen, Tonghua Wu, Xiaofan Zhu, Jie Chen, Jianzong Shi, Peiqing Lou, Dong Wang, Xin Ma, Xiaodong Wu

    Published 2025-03-01
    “…As the climate continues to warm, the thawing of ice-rich permafrost leads to changes in the polygonal patterned ground (PPG) landscape, exhibiting an array of spatial heterogeneity in trough patterns, governing permafrost stability and hydrological and ecosystem dynamics. …”
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    Trends in Drug Resistance and Epidemiological Patterns of Tuberculosis in Elderly Patients in Wenzhou, China (2014-2023) by Wu L, Cai X, Xu S, Lin X, Peng T, Jiang X

    Published 2025-07-01
    “…Lianpeng Wu,1,2 Xiyue Cai,3 Shuya Xu,4 Xuefeng Lin,5 Tingting Peng,1 Xiangao Jiang2,6 1Department of Clinical Laboratory Medicine, The Ding Li Clinical College of Wenzhou Medical University, Wenzhou Central Hospital, Wenzhou, Zhejiang, 325000, People’s Republic of China; 2Key Laboratory of Diagnosis and Treatment of New and Recurrent Infectious Diseases of Wenzhou, Wenzhou Sixth People’s Hospital, Wenzhou, Zhejiang, 325000, People’s Republic of China; 3Medical Management Office, Wenzhou Municipal Public Hospital Management Center, Wenzhou, Zhejiang, 325000, People’s Republic of China; 4Department of Tuberculosis Clinic, The Ding Li Clinical College of Wenzhou Medical University, Wenzhou Central Hospital, Wenzhou, Zhejiang, 325000, People’s Republic of China; 5Department of Clinical Laboratory Medicine, Yueqing People’s Hospital, Wenzhou, Zhejiang, 325600, People’s Republic of China; 6Department of Infectious Diseases, The Ding Li Clinical College of Wenzhou Medical University, Wenzhou Central Hospital, Wenzhou, Zhejiang, 325000, People’s Republic of ChinaCorrespondence: Tingting Peng, Department of Clinical Laboratory Medicine, The Ding Li Clinical College of Wenzhou Medical University, Wenzhou Central Hospital, Wenzhou, Zhejiang, 325000, People’s Republic of China, Email pengttwz@163.com Xiangao Jiang, Department of Infectious Diseases, The Ding Li Clinical College of Wenzhou Medical University, Wenzhou Central Hospital, Key Laboratory of Diagnosis and Treatment of New and Recurrent Infectious Diseases of Wenzhou, Wenzhou Sixth People’s Hospital, No. 252 Baili East Road, Lucheng District, Wenzhou, Zhejiang, 325000, People’s Republic of China, Email xiangaojiang@wmu.edu.cnPurpose: This study aimed to elucidate the epidemiological features, drug resistance patterns, and temporal trends among elderly tuberculosis (TB) patients in Wenzhou, China, from 2014 to 2023, providing insights for targeted TB control strategies.Patients and Methods: Data were extracted from 10,993 TB patients registered in the Laboratory Information System of Wenzhou Central Hospital and the Tuberculosis Information Management System of the Chinese Center for Disease Control and Prevention. …”
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  13. 973

    Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact by Enrique Mondragon-Estrada, Jane W. Newburger, Steven R. DePalma, Martina Brueckner, John Cleveland, Wendy K. Chung, Bruce D. Gelb, Elizabeth Goldmuntz, Donald J. Hagler, Jr., Hao Huang, Patrick McQuillen, Thomas A. Miller, Ashok Panigrahy, George A. Porter, Jr., Amy E. Roberts, Caitlin K. Rollins, Mark W. Russell, Martin Tristani-Firouzi, P. Ellen Grant, Kiho Im, Sarah U. Morton

    Published 2025-02-01
    “…Summary: Neurodevelopmental impairments associated with congenital heart disease (CHD) may arise from perturbations in brain developmental pathways, including the formation of sulcal patterns. While genetic factors contribute to sulcal features, the association of noncoding de novo variants (ncDNVs) with sulcal patterns in people with CHD remains poorly understood. …”
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  14. 974

    Clinicopathological analysis of biphenotypic sinonasal sarcoma: a case report by GONG Jingqing, CAO Duanrong, ZHUANG Yixin, QIU Li, LI Xiaoming

    Published 2025-02-01
    “…This study reported a rare case of biphenotypic sinonasal sarcoma (BSNS) and analyzed its clinicopathological features. The patient was a 35-year-old male admitted due to "recurrent right-sided nasal discharge mixed with blood for over three months". …”
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    Integrated Geospatial Characterization of Geomorphological and Structural Features in Parts of Enugu, Southeastern Nigeria: Implications for Regional Geology and Land Use by Nkiru Nwokeabia Charity, Ifeanyi Odoh Benard, Arinzechukwu Odinye, Callista Igwebudu Nwanneka, Peter Ezealaji Ifeanyi

    Published 2025-05-01
    “…This study explores the spatial distribution of land cover and geomorphological features in Enugu East, North, and South LGAs, using Land Use/Land Cover (LULC) classification, slope analysis, drainage density, and lineament density. …”
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    Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval by Mahmood Sotoodeh, Ali Kohan, Mohamad Roshanzamir, Senthil Kumar Jagatheesaperumal, Mohammad Reza Chalak Qazani, Javad Hassannataj Joloudari, Roohallah Alizadehsani, Pawel Plawiak

    Published 2024-01-01
    “…Among these, Weighted Color Radial Mean Completed Local Binary Pattern (WCRMLBP) emerges as the top-performing descriptor, demonstrating the effectiveness of feature weighting in enhancing color LBP-based descriptor performance. …”
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    The Distinct Ultrasound Characteristics and Prognostic Features of Insulin-Induced Lipohypertrophy: A Systematic Review by Yang H, Zhang L, Dong Q, She Y, Zhang Y, Cao M, Xu M, Chu S

    Published 2025-03-01
    “…Follow-up studies demonstrated distinct progression patterns and varying metabolic improvements among different LH types.Conclusion: Ultrasound reveals three distinct patterns (nodular, diffuse, and hypoechoic), each with unique prognostic features, providing a basis for individualized management.Keywords: insulin-induced lipohypertrophy, ultrasound, diabetes mellitus, progression, insulin injection, subcutaneous complications…”
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    A Novel Improved Local Binary Pattern and Its Application to the Fault Diagnosis of Diesel Engine by Yanping Cai, Guanghua Xu, Aihua Li, Xu Wang

    Published 2020-01-01
    “…Aiming at the feature extraction difficulty of vibration signals, an improved local binary pattern- (ILBP-) based diesel engine fault diagnosis approach is proposed. …”
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