Showing 401 - 420 results of 8,171 for search 'development grading', query time: 0.14s Refine Results
  1. 401

    Primary grade 2 neuroendocrine tumor of the ileal mesentery: a case report by Shigemi Morishita, Shinichi Yoshida, Yasufumi Kamatani, Shinya Suzuhigashi, Masaki Kitou, Takuma Nasu

    Published 2022-08-01
    “…We present an extremely rare case of a primary grade 2 NET (NET G2) in the ileal mesentery. Case presentation A 54-year-old man was referred to our hospital for further examination of a previously diagnosed right mesenteric tumor. …”
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    Article
  2. 402

    An MRI-based deep transfer learning radiomics nomogram for predicting meningioma grade by Nan Li, Xuejun Liu, Xiaona Xia, Xushun Liu, Gang Wang, Chongfeng Duan

    Published 2025-05-01
    “…The deep transfer learning radiomics (DTLR) nomogram was developed on the basis of selected clinical features, radiomics scores and DTL scores. …”
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    Article
  3. 403

    The prognostic significance of the NMD core factor UPF1 in low-grade glioma by Shuo Yang, Na Wu, Yumeng Duan, Shasha Qi, Shuo Yuan, Huixia Lu

    Published 2025-07-01
    “…Abstract Low-grade glioma (LGG) frequently occurring in children and adolescents. …”
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    Article
  4. 404

    Research on Safety Risk Assessment Grading by Combining AHP-FCE and Risk Matrix Method-Taking Emergency Industrial Park of Fangshan District in Beijing as an Example by Zhuo Chen, Aolan Pan, Luyao Tan, Qiuju Ma

    Published 2025-04-01
    “…As an emerging development field, in recent years, emergency industrial parks in China have faced increasingly complex and high-risk challenges. …”
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    Article
  5. 405

    Unravelling the Link between Math Anxiety and Math Performance of Grade 6 Pupils by Edmalyn Galano, Patricia Mae Calica, Jae Anne Nisperos, Helen Marie Zaragoza, Lailanie Soriano, Oscar Jr. Ancheta

    Published 2025-07-01
    “…Academic records from the 1st and 2nd grading periods revealed a slight improvement in math grades, from 87.96 to 88.88, with an overall mean of 88.42. …”
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    Article
  6. 406

    Postprandial Composite Biomarkers of Low-Grade Inflammation to Evaluate Nutritional Intervention Effects by Suzan Wopereis, Willem J. van den Brink, Tim J. van den Broek, Wilrike J. Pasman, Femke P. M. Hoevenaars

    Published 2024-01-01
    “…Here, we set out to develop a postprandial composite biomarker as an early indicator of low-grade inflammation to evaluate the effects of nutritional interventions. …”
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    Article
  7. 407

    Dermoscopy and Pathological Correlation in Different Grades of Actinic Keratosis and Squamous Cell Carcinoma by Li X, Sun J, Zhang H, Zhang C, Li W

    Published 2025-06-01
    “…Xiao Li,1 Jiachen Sun,1 Hua Zhang,2 Chunlei Zhang,1 Weiwei Li1 1Department of Dermatology, Peking University Third Hospital, Beijing, People’s Republic of China; 2Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, People’s Republic of ChinaCorrespondence: Weiwei Li, Department of Dermatology, Peking University Third Hospital, Beijing, People’s Republic of China, Email liweiwei792002@sina.com Chunlei Zhang, Department of Dermatology, Peking University Third Hospital, Beijing, People’s Republic of China, Email zhangchunleius@163.comBackground: Squamous Cell Carcinoma (SCC) is a common skin malignancy arising from keratinocytes and can develop from Actinic Keratosis (AK). Establishing reliable criteria for early differentiation of AK grades and SCC is essential for timely intervention and regular examination.Purpose: This study investigates clinical and dermoscopic criteria for AK and SCC grades, exploring the pathological basis of features to aid clinicians in assessing disease status and guiding treatment.Patients and Methods: Clinical and dermoscopic images of AK and SCC patients were assessed by three independent researchers. …”
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    Article
  8. 408

    A Lightweight Algorithm for Detection and Grading of Olive Ripeness Based on Improved YOLOv11n by Fengwu Zhu, Suyu Wang, Min Liu, Weijie Wang, Weizhi Feng

    Published 2025-04-01
    “…This study provides a valuable reference for the development of automated olive-harvesting technologies.…”
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    Article
  9. 409

    Correlation of Circulating Dickkopf-1 Level with Sonographic Findings and Radiographic Grading in Primary Knee Osteoarthritis by Adel Ibrahim Azzam, Abdelrahman Mohamed Labib, Abd-Elshafy Ahmed Haseeb, Ahmed Fathy Abd-Elaziz

    Published 2025-01-01
    “…Background: Osteoarthritis (OA) is a frequently complex joint disease that involves all joint components, including cartilage degeneration and new bone development. Dickkopf-1 (Dkk-1) regulates bone growth and repair in OA. …”
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  10. 410

    Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis by Sanjana G. Kulkarni, Sacha Laurent, Paolo Miotto, Timothy M. Walker, Leonid Chindelevitch, Carl-Michael Nathanson, Nazir Ismail, Timothy C. Rodwell, Maha R. Farhat

    Published 2025-03-01
    “…Sensitivity gains are highest for ethambutol, clofazimine, streptomycin, and ethionamide as regression graded considerably more resistance-associated variants than SOLO for these drugs. …”
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    Article
  11. 411

    Analysis on characteristics of coal-rock gas dynamic disasters based on stress grading action mechanism by Wei ZHAO, Zexin LI, Dan ZHAO, Aitao ZHOU, Jie ZANG, Xiongfei PEI

    Published 2025-05-01
    “…In order to analyze the effect of stress grading on coal gas dynamic disaster, the mechanism of stress grading is reviewed. …”
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  12. 412

    Applying state-of-the-art artificial intelligence to grading in simulation-based education: assessment, feedback, and ROI by Krystle K. Campbell, Michael J. Holcomb, Sol Vedovato, Lenora Young, Gaudenz Danuser, Thomas O. Dalton, Andrew R. Jamieson, Daniel J. Scott

    Published 2025-08-01
    “…This study explores the impact of an AI-powered Automated System Protocol (ASP) for grading students’ post-encounter notes in Clerkship OSCEs, comparing it to the legacy human grader system. …”
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    Article
  13. 413

    Recurrence prediction in chronic subdural hematomas: a risk stratification score based on 118 consecutive patients by Francesco M.C. Lioi, Jon Ramm-Pettersen, Andrea Fratini, Gabriele Dentato, Giovanni Facchinetti, Niccolo Colella, Luigi Rosito, Elena Furno, Camilla Riva, Andrea G. Ruggeri, Luca D'Angelo, Antonio Santoro, Alessandro Frati

    Published 2025-01-01
    “…Results: A weighted scoring system has been developed and patients were stratified into three risk categories: low (0–2 points), moderate (3–5 points), and high (6–8 points). …”
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  14. 414

    Screening criteria for high-quality Glycyrrhiza uralensis Fisch. seeds from the Ordos Plateau by Dongyang Fang, Xinyang Zhao, Yuqing Pan, Jiaxin Qiao, Yongbin Xu, Erjun Chai, Yali Li

    Published 2025-07-01
    “…The quality grading standards developed for G. uralensis seeds can provide an experimental basis for analyzing the current status of G. uralensis seed quality and devising standard operating procedures for seed testing.…”
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    Article
  15. 415

    Mendelian randomization studies on ischemic stroke: a field synopsis and systematic review by Junyi Yang, Chen Han, Yue Zhang, Shutong Tan, Qian Wu, Yumei Ma, Yuanjie Duan, Yaxin Wang, Jinke Wang, Binhui Liu, Changqing Mu, Ruixia Zhu, Xiaoqian Zhang, Jian Zhang, Xu Liu

    Published 2025-08-01
    “…Among these causal correlations, 8 (Grade 1) and 81 (Grade 2) were graded as robust evidence, while 226 (Grade 3) and 884 (Grade 4) causal relationships were considered to have insufficient reliability. …”
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  16. 416

    Magnetic Resonance Imaging Radiomics-Driven Artificial Neural Network Model for Advanced Glioma Grading Assessment by Yan Qin, Wei You, Yulong Wang, Yu Zhang, Zhijie Xu, Qingling Li, Yuelong Zhao, Zhiwei Mou, Yitao Mao

    Published 2025-06-01
    “…Radiomics features were derived from contrast-enhanced T1-weighted images (CE-T<sub>1</sub>WI) using Pyradiomics and were selected based on their Spearman’s rank correlation with glioma grades. We developed an ANN model to classify the four pathological grades of glioma, assigning training and validation sets at a 3:1 ratio. …”
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  17. 417

    Brain Tumour Segmentation and Grading Using Local and Global Context-Aggregated Attention Network Architecture by Ahmed Abdulhakim Al-Absi, Rui Fu, Nadhem Ebrahim, Mohammed Abdulhakim Al-Absi, Dae-Ki Kang

    Published 2025-05-01
    “…The main aim of this research is to design and develop an intelligent model that can detect and grade tumours more effectively. …”
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    Article
  18. 418

    Evaluating CNN Architectures for the Automated Detection and Grading of Modic Changes in MRI: A Comparative Study by Li‐peng Xing, Gang Liu, Hao‐chen Zhang, Lei Wang, Shan Zhu, Man Du La Hua Bao, Yan‐ni Wang, Chao Chen, Zhi Wang, Xin‐yu Liu, Shuai Zhang, Qiang Yang

    Published 2025-01-01
    “…This study developed and investigated the performance of convolutional neural network (CNN) in detecting and grading MCs based on their maximum vertical extent. …”
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