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Study on the Nomogram Model Based on Dual-energy Computed Tomography for Predicting Lymph Node Metastasis in Papillary Thyroid Carcinoma
Published 2025-01-01“…Objective: This study aimed to evaluate the effectiveness of a nomogram model based on dual-energy computed tomography (CT) quantitative parameters combined with clinical information for distinguishing metastatic from non-metastatic lymph nodes in patients with papillary thyroid carcinoma (PTC). …”
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Preoperative computed tomography–guided localization of pulmonary ground‑glass nodules: a comparison of conventional and soft hook‑wires
Published 2024-11-01Subjects: “…computed tomography…”
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Computation and Visualization of Regional-Scale Forest Disturbance and Associated Dissolved Nitrogen Export from Shenandoah National Park, Virginia
Published 2001-01-01“…The purposes of this analysis are to (1) test the applicability of the UNERF model using quarterly streamwater nitrate data from a group of ungaged watersheds in SNP; (2) demonstrate a park-wide application of a regional UNERF model that references the geographic distributions of bedrock geology and the timing and extent of gypsy moth defoliation over the entire SNP area; and (3) visualize the temporal and spatial patterns in vegetation disturbance and annual dissolved N export through the use of computer animation software. During water year 1992, the year of peak defoliation, our modeling study suggests that park-wide export had transiently increased by 1700% from a baseline rate of about 0.1 kg/ha/year. …”
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Computational analysis of SARS-CoV-2, SARS-CoV, and MERS-CoV genome using MEGA
Published 2020-09-01“…Thirdly and finally nucleotide frequencies computed based on genomic data of NCBI. The results indicate that general times reversible model has the lowest BIC and AICc score 347,394 and 347,287, respectively. …”
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Dummy Template Molecularly Imprinted Polymers for Electrochemical Detection of Cardiac Troponin I: A Combined Computational and Experimental Approach
Published 2025-01-01“…The satisfactory correlation between experimental and computational results validated our model-based approach for the rational design of dummy template molecularly imprinted polymers.…”
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Computational Methods for Calculating Multimodal Multiclass Traffic Network Equilibrium: Simulation Benchmark on a Large-Scale Test Case
Published 2021-01-01“…This study reviews existing computational methods to calculate simulation-based dynamic network equilibrium. …”
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Analysis of Aspiration Risk Factors in Severe Trauma Patients: Based on Findings of Aspiration Lung Disease in Chest Computed Tomography
Published 2020-06-01Subjects: Get full text
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UF/IFAS Nutrient Management Series: Computational Tools for Field Implementation of the Florida Phosphorus Index - Okeechobee Watershed Area
Published 2006-06-01“…Boetger, provides many tables with numerical values for each of the various factors listed in the Florida P Index to be used in computations to aid planners in designing conservation plans related to land application of animal wastes. …”
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Predictive factors of fibrotic interstitial lung abnormality on high-resolution computed tomography scans: a prospective observational study
Published 2025-01-01“…There are no reports on the clinical characteristics of fibrotic interstitial lung abnormalities on high-resolution computed tomography scans. Therefore, we aimed to examine these clinical characteristics and clarify the predictive factors of fibrotic interstitial lung abnormalities on high-resolution computed tomography scans. …”
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Multivariate Image Analysis Applied to Cross-Laminated Timber: Combined Hyperspectral Near-Infrared and X-ray Computed Tomography
Published 2023-01-01“…CLT panels underwent nondestructive testing using near-infrared (NIR) hyperspectral imaging and X-ray computed tomography (CT) analysis. MIA was performed on these results to build predictive models for wood features, such as fibre alignment and knot type. …”
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Pengukuran Performa Apache Spark dengan Library H2O Menggunakan Benchmark Hibench Berbasis Cloud Computing
Published 2019-10-01“…The data is processed using one of the machine learning models namely deep learning by dividing several nodes that have been formed in the cloud computing environment by utilizing the H2O library. …”
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