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Optimization of Land Saving and Loss Reducing and Slope Stability Variation Patterns in Open-Pit Mine
Published 2021-01-01Get full text
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Targeting NF-kappaB-inducing kinase shapes B-cell homeostasis in myasthenia gravis
Published 2025-01-01Get full text
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Discriminant Model of Coal Mining Microseismic and Blasting Signals Based on Waveform Characteristics
Published 2017-01-01Get full text
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105
Experimental Study on the Effect of Gas Pressure on Ultrasonic Velocity and Anisotropy of Anthracite
Published 2019-01-01Get full text
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106
Identification of specific risk factors and predictive analytics for cardio-cerebral arterial stenosis: a comparative study utilizing framingham risk stratification insights
Published 2025-02-01“…This retrospective study included patients admitted for ischemic stroke at the Affiliated Hospital of Xuzhou Medical University from December 2020 to December 2021. …”
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The effect of preoperative topical magnesium sulfate spraying in the oropharyngeal region on postoperative sore throat following gynecological laparoscopic surgery: a randomized cl...
Published 2025-01-01“…Methods The study included 58 patients scheduled for gynecologic laparoscopic surgery at Xuzhou Medical University Affiliated Hospital. Patients were randomly assigned to either the magnesium sulfate group or the control group, with 29 patients in each group. …”
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Modeling and Kinematics Simulation of a Mecanum Wheel Platform in RecurDyn
Published 2018-01-01Get full text
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113
Development of a GA-Fuzzy-Immune PID Controller with Incomplete Derivation for Robot Dexterous Hand
Published 2014-01-01Get full text
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A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning
Published 2024-12-01“…Methods Numbers of COVID-19 daily confirmed cases were collected from November 1, 2022 to November 16, 2023 in Xuzhou city of China. Classical deep learning models including recurrent neural network (RNN), long and short-term memory (LSTM), gated recurrent unit (GRU) and temporal convolutional network (TCN) are initially trained, then RNN, LSTM and GRU are integrated with a new attention mechanism and transfer learning to improve the performance. …”
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Refined Urban Functional Zones Identification via Empirical Bayesian Kriging: A POI-Weighted Scoring Innovation
Published 2025-01-01“…This paper proposes a Point of Interest (POI)-weighted scoring method based on Empirical Bayesian Kriging (EBK), which is empirically demonstrated in Xuzhou, China. We integrate multi-source data, including remote sensing-based land use/cover information, road networks, POIs, and building geometry data, to classify UFZs based on their dependence on buildings. …”
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Movement of Overlying Strata and Mechanical Responses of Shallow Buried Gas Pipelines in Coal Mining Areas
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Electronic Controlling on Nanotribological Properties of a Textured Surface by Laser Processing
Published 2017-01-01Get full text
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Fault Diagnosis for Reducer via Improved LMD and SVM-RFE-MRMR
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Permeability Characteristics of Water-Sand Seepage in Fracture by Experiment
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