A5023829854- Multiple Sclerosis Research Studies
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- RNA regulation and disease
- Systemic Lupus Erythematosus Research
- Machine Learning in Healthcare
- Lexicography and Language Studies
- Nerve injury and regeneration
- Nerve Injury and Rehabilitation
- Ophthalmology and Eye Disorders
- Geotechnical Engineering and Analysis
- Acute Ischemic Stroke Management
- Ion Transport and Channel Regulation
- COVID-19 and healthcare impacts
- Supply Chain Resilience and Risk Management
- Autoimmune Neurological Disorders and Treatments
- Advanced Neuroimaging Techniques and Applications
- Vehicle emissions and performance
- Educational Technology and Assessment
- Quality and Safety in Healthcare
- Grouting, Rheology, and Soil Mechanics
- RNA Interference and Gene Delivery
- Sustainable Supply Chain Management
- Genetic Associations and Epidemiology
- Linguistics, Language Diversity, and Identity
Guangxi Normal University
2023-2025
Max Delbrück Center
2024-2025
Charité - Universitätsmedizin Berlin
2024-2025
Freie Universität Berlin
2025
Humboldt-Universität zu Berlin
2025
University of Electronic Science and Technology of China
2024
Tongji Hospital
2020-2022
Huazhong University of Science and Technology
2020-2022
University of South China
2021
First Affiliated Hospital of University of South China
2021
Background: The coronavirus disease 2019 (COVID-19) has become a worldwide pandemic since mid-December 2019, which greatly challenge public medical systems. With limited resources, it is natural strategy, while adopted, to access the severity of patients then determine treatment priority. However, our work observes fact that condition many mild outpatients quickly worsens in short time, i.e. deteriorate into severe/critical cases. Hence, been crucial early identify those cases and give...
Abstract As COVID-19 is highly infectious, many patients can simultaneously flood into hospitals for diagnosis and treatment, which has greatly challenged public medical systems. Treatment priority often determined by the symptom severity based on first assessment. However, clinical observation suggests that some with mild symptoms may quickly deteriorate. Hence, it crucial to identify patient early deterioration optimize treatment strategy. To this end, we develop an early-warning system...
Multiple sclerosis (MS) is a complex inflammatory and neurodegenerative disease of the central nervous system (CNS) with multifaceted pathophysiology, likely involving variety mechanisms effectors. To characterize spectrum cellular molecular factors involved in MS at an unprecedented level, we here performed comprehensive analysis cerebrospinal fluid (CSF) peripheral blood using multiple high-dimensional technologies, including mass cytometry, metabolomics proteomics (NULISA Olink Explore...
Aquaporin-4 antibody positive (AQP4+) neuromyelitis optica spectrum disorders (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) are two distinct antibody-mediated neuroinflammatory diseases. Diffusion Tensor Imaging (DTI) Neurite Orientation Dispersion Density (NODDI) advanced diffusion-weighted MRI models providing quantitative metrics sensitive to cerebral microstructural changes. This study aims differentiate brain tissue damage in NMOSD MOGAD from...
Fresh produce, as a primary source of nutrition, plays pivotal role in daily life. However, the unique characteristics fresh produce—such perishability, widespread production, short shelf life, long distribution cycles, and high volatility both supply demand—render produce chain particularly vulnerable to disruptions. These vulnerabilities not only impact consumption but also pose significant challenges operational efficiency enterprises. Enhancing resilience is crucial for businesses...
Abstract A novel kind of macromolecule, long‐chain alkyl quaternary ammonium functionalized hyperbranched polyester (QHPE), was synthesized by the reaction Boltorn H30 (H30) and 2,3‐epoxypropyl dimethyl chloride under alkaline conditions in dimethylformamide. After modification, hydroxyl terminal group converted into an functional group. series products obtained with different lengths chain (C8, C12, C16, C18) All were characterized Fourier transform infrared NMR spectroscopy. The...
Pleural fibrosis is defined as an excessive deposition of extracellular matrix that results in destruction the normal pleural tissue architecture and compromised function. Tuberculous pleurisy, asbestos injury, rheumatoid pleurisy are main causes fibrosis. mesothelial cells (PMCs) play a key role However, detailed mechanisms poorly understood. Serine/arginine-rich protein SRSF6 belongs to family highly conserved RNA-binding splicing-factor proteins. Based on its known functions, should be...
Introduction Due to the inefficiency and high cost of current healthcare supply chain mode, in order adapt great changes global economy public health, it is urgent choose an effective mode for sustainable development chain. The aim this paper use artificial intelligence systems make intelligent decisions selection. Methods Firstly, according economic benefits, social benefits environmental chain, identifies different modes combination with technology. Secondly, presents choice optimization...
The organization of sports events, while generating economic benefits, inevitably imposes significant environmental pressures. Conducting green and low-carbon events have become a global consensus. In addressing the carbon emissions benefit coordination issues on production end infrastructure construction for large-scale we considers role digital platforms in industry’s transformation upgrade, innovatively incorporates as decision-making entities investigates equilibrium strategies...
Background Currently available radiological methods do not completely capture the diversity of multiple sclerosis (MS) lesion subtypes. This lack information hampers understanding disease progression and potential treatment stratification. For example, inflammation persists in some lesions after gadolinium (Gd) enhancement resolves. Novel metabolic molecular imaging may improve current assessments MS pathophysiology. Purpose To compare vivo proton exchange rate ( k ex ) MRI with Gd‐enhanced...
Abstract Quantitative magnetic resonance imaging (qMRI) involves mapping microstructure in standardized units sensitive to histological properties and supplements conventional MRI, which relies on contrast weighted images where intensities have no biophysical meaning. While measuring tissue such as myelin, iron or water content is desired a disease context, qMRI changes may typically reflect mixed influences from aging pre-clinical degeneration. We used fast multi-parameter (MPM) protocol...
Background Psychiatric disorders, such as major depressive disorder (MDD), anxiety (AD), bipolar (BD), and schizophrenia (SCZ), are disturbances in brain activity that lead to disorders of cognition, behavior, emotion regulation. Among Sjogren syndrome (SS) patients, psychiatric more prevalent than the general population. Identifying associated risk factors can provide new evidence for clinical diagnosis treatment. Methods We selected genetic instruments based on published genome-wide...
Motivation: Quantitative MRI is attractive for investigating pathological tissue changes, yet translation towards clinical research remains challenging. Goal(s): Our goal was to explore sensitivity of a fast quantitative multi-parametric mapping protocol combined with biophysical models at 3T multiple sclerosis subtypes. Approach: We maps magnetization transfer saturation, proton density, longitudinal and transverse relaxation rates relaxivity approaches disentangle water macromolecular...
Abstract Quantitative magnetic resonance imaging (qMRI) involves mapping microstructure in standardized units sensitive to histological properties and supplements conventional MRI, which relies on contrast weighted images where intensities have no biophysical meaning. While measuring tissue such as myelin, iron or water content is desired a disease context, qMRI changes may typically reflect mixed influences from aging pre-clinical degeneration. We used fast multi-parameter (MPM) protocol...
Objective To evaluate temporal lung changes in coronavirus disease 2019 (COVID-19) high-resolution computed tomography (HRCT) and to determine the appropriate tomographic (CT) follow-up time. Methods Eighty-six patients with two or more HRCT scans who were diagnosed COVID-19 included. The CT score major findings evaluated. Results Eighty-two (95.3%) had lesions on initial scans. Most showed bilateral, multifocal lesions, multiple lobes involved diffuse distribution. For fifty-seven type I...
Background: Intracerebral hemorrhage (ICH), a severe disorder with the high death rate, recurrence rate and disability affected quality of human life. Community-based rehabilitation (CBR) helps disabled people at both community family levels. However, effect CBR on recovery after ICH remains unclear. Methods: Patients were treated training program, subsequently, medication compliance test, clinical neural impairment measurements, functional comprehensive assessments, improved Barthel index...
目的建立基于ICRP 130号出版物人类呼吸道模型的肺部滞留量计算程序，并与基于ICRP 66号出版物人类呼吸道模型的肺部滞留量计算结果进行比较。 方法采用Matlab Simulink模块编写计算程序，并以Pu-239粒子吸入为例，分别按三种吸收入血类型对比两个呼吸道模型的肺部滞留量计算结果。 结果对于S、M吸收类型气溶胶粒子，ICRP 130号出版物呼吸道模型在长期肺部滞留量上的预测值比ICRP 66号出版物呼吸道模型预测值高出超过1倍，S类计算时两个模型的差异比M类计算时更为明显，两个呼吸道模型在中短期的肺部滞留量预测值接近。对于F吸收类型气溶胶粒子，ICRP 130号比ICRP 66号出版物呼吸道模型的肺部滞留量预测值廓清显著更慢。 结论建立了基于ICRP 130号出版物呼吸道模型的计算程序，不同模型的计算结果不尽相同，值得深入研究。
Many historical buildings in the old urban area of Zhongshan Road Guangzhou have high commercial value and requirements for large underground space. However, their safe development is restricted by many factors, such as limited surrounding space, dense pipe networks, poor engineering properties shallow soft soil, excessive amounts groundwater. Hence, this work proposes an optimized approach which current supporting structure foundation pits used basement expansion complex environments.