Explanipedia

Factors influencing accelerated aging in patients with type 2 diabetes mellitus and coronary heart disease Open

Zehua Huang, Nana Liu, Shiyi Chen, Zhiren Chen, Peian Wang · 2024

Objective To investigate the factors influencing accelerated aging in patients with type 2 diabetes mellitus (T2DM) and coronary heart disease (CHD). Methods A total of 216 patients diagnosed with T2DM and CHD between August 2019 and Augus…

Risk stratification in gastric cancer lung metastasis: Utilizing an overall survival nomogram and comparing it with previous staging Open

Zhi-Ren Chen, Meifang Yang, Xie Zhi-yuan, Peian Wang, Liang Zhang , et al. · 2024

BACKGROUND Gastric cancer (GC) is prevalent and aggressive, especially when patients have distant lung metastases, which often places patients into advanced stages. By identifying prognostic variables for lung metastasis in GC patients, it…

A MRI radiomics-based model for prediction of pelvic lymph node metastasis in cervical cancer Open

Tao Wang, Yanyu Li, Nannan Ma, Peian Wang, Bei Zhang · 2024

Rough-Set-Based Rule Induction with the Elimination of Outdated Big Data: Case of Renewable Energy Equipment Promotion Open

Chun‐Che Huang, Wen‐Yau Liang, Roger R. Gung, Peian Wang · 2023

As developing economies become more industrialized, the energy problem has become a major challenge in the twenty-first century. Countries around the world have been developing renewable energy to meet the Sustainable Development Goals (SD…

A MRI radiomics-based model for prediction of pelvic lymph node metastasis in cervical cancer Open

Tao Wang, Yanyu Li, Nannan Ma, Peian Wang, Bei Zhang · 2023

Background Cervical cancer (CC) is a common malignancy of the female reproductive tract, and preoperative prediction of lymph node metastasis (LNM) is essential. This study aim to design and validate a magnetic resonance imaging (MRI) radi…

The Short‐Time Prediction of Thermospheric Mass Density Based on Ensemble‐Transfer Learning Open

Peian Wang, Zhou Chen, Xiaohua Deng, Jingsong Wang, Rongxing Tang , et al. · 2023

Reliable short‐time prediction of thermospheric mass density along the satellite orbit is always essential but challenging for the operation of Low‐Earth orbit satellites. In this paper, three machine‐learning prediction algorithms are inv…

The Short-time Prediction of Thermospheric Mass Density Based on Ensemble-Transfer Learning Open

Peian Wang, Zhou Chen, Xiaohua Deng, Jingsong Wang, Rongxin Tang , et al. · 2022

Reliable short-time prediction of thermospheric mass density along the satellite orbit is always essential but challenging for the operation of Low-Earth orbit (LEO) satellites. In this paper, three machine-learning prediction algorithms a…

The Prediction of Storm‐Time Thermospheric Mass Density by LSTM‐Based Ensemble Learning Open

Peian Wang, Zhou Chen, Xiaohua Deng, Jingsong Wang, Rongxing Tang , et al. · 2022

The accurate prediction of storm‐time thermospheric mass density is always critically important and also a challenge. In this paper, an available prediction model is established by Long Short‐Term Memory (LSTM)‐based ensemble learning algo…

Efficacy and safety of 3D print-assisted surgery for the treatment of pilon fractures: a meta-analysis of randomized controlled trials Open

Jianzhong Bai, Yongxiang Wang, Pei Zhang, Meiying Liu, Peian Wang , et al. · 2018

Study on effect of extrusion of the former tube based on DEFORM-3D Open

Peian Wang, Huanhuan Guo, Shufang Wu, Boning Chen · 2018

In order to obtain the optimum forming process of the Former tube, two forming schemes were made based on the actual production and processing experience and theory. The two forming schemes were simulated by DEFORM-3D. The optimal forming …

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