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Fault analysis and fault degree evaluation via an improved ResNet method for aircraft hydraulic system
Published 2025-02-01Get full text
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TRACE Model: Predicting Treatment Response to Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma
Published 2025-01-01“…Radiomics model was constructed based on the selected features from pretreatment MR images. …”
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The effect of coal ratio on the high-lead slag reduction process
Published 2018-01-01Get full text
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English Grammar Discrimination Training Network Model and Search Filtering
Published 2021-01-01Get full text
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Nonintrusive Industrial Load Identification Combined with Random Forests and Steady-State Waveform
Published 2021-01-01Get full text
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Optimizing Ontology Alignment through Linkage Learning on Entity Correspondences
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Image Encryption Method Based on Three-Dimensional Chaotic Systems and V-Shaped Scrambling
Published 2025-01-01Get full text
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Structure Optimization of Vibrating Feeder Based on Inertia Release
Published 2021-01-01Get full text
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Dual-Mode Encryption for UC-Secure String OT from Learning with Errors
Published 2024-01-01Get full text
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Study on Model and Tests of Sheet Pile Wall with a Relieving Platform
Published 2020-01-01Get full text
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Residual stress analysis and warpage control of 0Cr17Ni7Al spring steel wire
Published 2025-02-01Get full text
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Heterogeneous influences of urban compactness on air pollution: evidence from 285 prefecture-level cities in China
Published 2025-01-01“…First, a theoretical analysis framework for the effect of urban compactness on environmental quality was constructed. Second, on the basis of panel data from 285 prefecture-level cities in China from 2010 to 2021, exploratory spatial data analysis (ESDA) was applied to reveal the spatiotemporal nonstationary distribution of urban PM2.5 pollution. …”
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Antiviral therapy can effectively suppress irAEs in HBV positive hepatocellular carcinoma treated with ICIs: validation based on multi machine learning
Published 2025-01-01“…However, Immunotherapy-related adverse reactions are still a major challenge faced by tumor immunotherapy, so it is urgent to establish new methods to effectively predict immunotherapy-related adverse reactions.ObjectiveMulti-machine learning model were constructed to screen the risk factors for irAEs in ICIs for the treatment of HBV-related hepatocellular and build a prediction model for the occurrence of clinical IRAEs.MethodsData from 274 hepatitis B virus positive tumor patients who received PD-1 or/and CTLA4 inhibitor treatment and had immune cell detection results were collected from Henan Cancer Hospital for retrospective analysis. …”
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