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Advances in Nucleic Acid Drugs and Gene Therapies based on Animal Models of Duchenne Muscular Dystrophy
Published 2024-12-01Get full text
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Performance improvement of transcritical vapor generator by a novel double-heated annular configuration
Published 2025-02-01Get full text
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Experimental Evaluation of the Accuracy of Biped Model to Predict the Kinematics during Walking
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Image Super-Resolution Using Lightweight Multiscale Residual Dense Network
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Impact of Temperature on the Strength Development of the Tailing-Waste Rock Backfill of a Gold Mine
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CECT-Based Radiomic Nomogram of Different Machine Learning Models for Differentiating Malignant and Benign Solid-Containing Renal Masses
Published 2025-01-01“…Lu Qian,1,* BinHai Fu,2,* Hong He,2 Shan Liu,1 RenCai Lu2 1Department of Pathology, the First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, 650032, People’s Republic of China; 2Department of Nuclear Medicine, The First People’s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, 650032, People’s Republic of China*These authors contributed equally to this workCorrespondence: RenCai Lu, Department of Nuclear Medicine, The First People’s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, No. 157 Jinbi Road, Kunming, Yunnan, 650032, People’s Republic of China, Tel +86 087163614503, Email lrc_09@126.comObjective: This study aimed to explore the value of a radiomic nomogram based on contrast-enhanced computed tomography (CECT) for differentiating benign and malignant solid-containing renal masses.Materials and Methods: A total of 122 patients with pathologically confirmed benign (n=47) or malignant (n=75) solid-containing renal masses were enrolled in this study. …”
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A Case Study of Combined Drainage Consolidation-Preloading Methods for a Highway Subgrade on Peat Soils
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Bio-Inspired Learning and Adaptation for Optimization and Control of Complex Systems
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Rough Set Approach toward Data Modelling and User Knowledge for Extracting Insights
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Optimal Convergence Rates for Solutions of the Monopolar Non-Newtonian Flows
Published 2014-01-01Get full text
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Neural Network for Complex Systems: Theory and Applications
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Protective Effects of Ophiocordyceps lanpingensis on Glycerol-Induced Acute Renal Failure in Mice
Published 2017-01-01Get full text
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