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The rise of aerial additive manufacturing in construction: a review of material advancements
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The research into the propagation law of the shock wave of a gas explosion inside a building
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Deformation Characterisation and Distress Diagnosis of a Metro Shield Tunnel by Adjacent Constructions
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Analytical Methods for Atmospheric Carbonyl Compounds: A Review
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Chromosome-level genome assembly of the pine wood nematode carrier Arhopalus unicolor
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Knowledge Distillation-Enhanced Behavior Transformer for Decision-Making of Autonomous Driving
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YHSeqY3000 panel captures all founding lineages in the Chinese paternal genomic diversity database
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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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Heterogeneous occurrence of evergreen broad-leaved forests in East Asia: Evidence from plant fossils
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