the-prediction-recurrence-lumbar-disc-herniation-at-l5-s1-through

The Prediction of Recurrence of Lumbar Disc Herniation at L5-S1 through Machine Learning Based on Endoscopic Discectomy <em>via</em> the Interlaminar Approach

This study aimed to develop machine learning (ML) models to predict the L5-S1 level recurrent lumbar disc herniation (rLDH) after percutaneous endoscopic ...

enhancing-diagnosis-discogenic-low-back-pain-shap-explained-random

Enhancing the Diagnosis of Discogenic Low Back Pain: A SHAP-Explained Random Forest Model Combined with Lumbar Spine MRI T2 Radiomics

Low back pain (LBP) is a leading cause of disability and reduced quality of life globally, with discogenic low back pain (DLBP) accounting for 39% of ...

Affiliated Hospital 2 of Nantong University

Nantong Clinical Medical College of Kangda College of Nanjing Medical University

Southeast University

Research Institute for Spine and Spinal Cord Disease of Nantong University

The COVID-19 pandemic spreads rapidly around the world, and has given rise to huge impacts on all aspects of human society. This study utilizes big data techniques to analyze the impacts of COVID-19 on the user behaviors and environmental benefits of bike sharing. In this study, a novel method is proposed to calculate the trip distances and trajectories via a python package OSMnx so as to accurately estimate the environmental benefits of bike sharing. In addition, we employ the topological indices arising from complex network theory to quantitatively analyze the transformation of user behavior pattern of bike sharing during the COVID-19 pandemic. The results show that this pandemic has impacted the user behaviors and environmental benefits of bike sharing in Beijing significantly. During the pandemic, the estimated reductions of energy consumption and emissions on 6 Feb decreased to approximately 1 in 17 of those on a normal day, and the environmental benefits at most recovered to 70% of those in normal days. The impacts of COVID-19 on the environmental benefits in different districts are different. Furthermore, the decline of average strength and strength distribution obeying exponential distribution but with different slope rates suggests that people are less likely to take bike sharing to the places where were popular before. The pandemic has also increased the average trip time of bike sharing. Our research may facilitate the understanding of the impacts of COVID-19 pandemic on our society and environment, and also provide clues to adapt to this unprecedented pandemic so as to respond to similar events in the future.

ArticleTotal : 2	Year
Publication title	2025
Publication title	2026

Jinyu Chen

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