Suchergebnisse - Jing DING
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Research progress in comorbidity between epilepsy and sleep disorders von Luyao HUANG, Jing DING, Xin WANG
Veröffentlicht 2025-06-01Epilepsy, which leads to an enduring high tendency to generate epileptic seizures, is a neurological disorder characterized by recurrent episodes of paroxysmal brain dysfunction due to abnormal synchronous neuronal discharges. Patients with epilepsy are usually comorbid with various sleep disorders,...
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Monitoring the Time-Lagged Response of Land Subsidence to Groundwater Fluctuations via InSAR and Distributed Fiber-Optic Strain Sensing von Qing He, Hehe Liu, Lu Wei, Jing Ding, Heling Sun, Zhen Zhang
Veröffentlicht 2025-07-01Understanding the time-lagged response of land subsidence to groundwater level fluctuations and subsurface strain variations is crucial for uncovering its underlying mechanisms and enhancing disaster early warning capabilities. This study focuses on Dangshan County, Anhui Province, China, and system...
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Pandemic COVID-19 and Endemic Neglected Tropical Diseases: Friends or Foes? von Mehdi Borhani Zarandi, Xuemin Jin, Saeid Fathi, Majid Fasihi Harandi, Sami Simsek, Mohammad Mehdi Ommati, Mingyuan Liu, Jing Ding
Veröffentlicht 2023-10-01<p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="first" dir="auto" id="d1446819e242">The COVID-19 pandemic, caused by the SARS-CoV-2, is the most serious global health calamity since the 2 <sup>nd</sup>...
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Analysis of the global trends and causes of self-harm due to high temperature: a global level ecological study von Jingjie Ma, Xingchao Zhang, Sanqian Chen, Siyu Zhou, Jing Ding, Yuting Deng, Jiakang Hu, Fang Wang, Yuanan Lu, Songbo Hu
Veröffentlicht 2025-07-01Background: High temperatures are known to be associated with an increased risk of self-harm, but the influence of demographic changes and country-level indicators on the burden of heat-related self-harm remains unclear. This study examined the key factors driving changes in self-harm mortality link...
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Predicting RUNX1::RUNX1T1 genetic abnormalities in acute myeloid leukemia from bone marrow smears: Can artificial intelligence do better? von Hui Cheng, Jing Ding, Juan Wang, Yujun Xiao, Xinyi Jin, Yan Zhang, Yuanyuan Yang, Huangmeng Xu, Xinyi Cao, Fangyu Guo, Jianmin Yang, Jiatao Lou, Gusheng Tang
Veröffentlicht 2025-07-01Summary: The presence of the RUNX1::RUNX1T1 fusion gene in acute myeloid leukemia (AML) is associated with distinct morphological characteristics of myeloblasts. This study aims to assess the capability of artificial intelligence (AI) in identifying genetic abnormalities based on cell morphology. Th...
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