A5018905455- Glioma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Traditional Chinese Medicine Analysis
- Cardiac Ischemia and Reperfusion
- MRI in cancer diagnosis
- Traffic Prediction and Management Techniques
- Conducting polymers and applications
- Perovskite Materials and Applications
- Quantum Dots Synthesis And Properties
- IoT and Edge/Fog Computing
- Fault Detection and Control Systems
- Tryptophan and brain disorders
- Sarcoma Diagnosis and Treatment
- Transportation Planning and Optimization
- Machine Fault Diagnosis Techniques
- Age of Information Optimization
- Opportunistic and Delay-Tolerant Networks
- Cognitive Science and Mapping
- Cardiac Health and Mental Health
- Autophagy in Disease and Therapy
- Calpain Protease Function and Regulation
- Biomarkers in Disease Mechanisms
- Integrated Energy Systems Optimization
- Data Management and Algorithms
- Heat shock proteins research
Nanjing Drum Tower Hospital
2022-2025
Nanjing University
2024-2025
Nanjing Medical University
2025
Jinzhou Kangning Hospital
2024
Guangzhou University of Chinese Medicine
2019-2024
Ministry of Education of the People's Republic of China
2019-2024
University of Waterloo
2024
Wenzhou Medical University
2024
Zhejiang Lab
2024
First Affiliated Hospital of Harbin Medical University
2024
This study aimed to investigate the feasibility of predicting oxygen 6-methylguanine-DNA methyltransferase (MGMT) promoter methylation in diffuse gliomas by developing a deep learning approach using MRI radiomics. A total 111 patients with participated retrospective (56 MGMT and 55 unmethylation). The radiomics features two regions interest (ROI) (the whole tumor area core area) for four sequences, including T1 weighted image (T1WI), T2 (T2WI), apparent diffusion coefficient (ADC) maps,...
Objectives To develop and validate a multiparametric prognostic model, incorporating dynamic contrast-enhanced (DCE) quantitative parameters multi-modality radiomic features, for the accurate identification of isocitrate dehydrogenase 1 (IDH1) mutation status from glioma patients. Methods A total 152 patient data with confirmed IDH1 were retrospectively collected. segmentation neural network was used to measure MRI compared empirically oriented ROI selection. Radiomic extracted conventional...
Alkaloids from <italic>lotus plumule</italic> regulated BDNF-mediated ER stress and autophagy, subsequently attenuating neuroinflammation in LPS-stimulated BV2 microglia LPS-induced depressive C56BL/6N mice.
In an urban environment, the accurate prediction of congestion levels is a prerequisite for formulating traffic demand management strategies reasonably. Current forecasting studies mostly focus on road topological network and assume that spatial linkages segments fixed, thus ignoring associated level changes between segments. This study introduces fusion-based graph convolutional called F-GCN. The model aims to capture dynamic correlations among while constructing static topology network....
Rationale and ObjectivesHomozygous deletion (HD) of CDKN2A/B holds important prognostic value in gliomas. This study aimed to explore the predictive potential conventional MRI characteristics combined with dynamic contrast-enhanced parameters predicting HD status gliomas.Materials MethodsPreoperative data 105 patients (69 without HD, 36 homozygous deletion) gliomas were retrospectively collected. Conventional features contrast-enhanced-MRI qualitative parameter time-intensity curve type,...
Although many groups have been trying to prepare perovskite solar cells (PSCs) in ambient air, the power conversion efficiency (PCE) is still low. Besides, effect of moisture on formation films controversial. In this paper, we studied detail, and found that can speed up crystallizing process PbI2 form poor-quality with large grain size surface roughness, while, for films, a small amount not adverse, even beneficial. On basis, report successful fabrication efficient mesoporous PSCs PCE 16.00%...
Glioma is the most common type of primary malignant tumor central nervous system (CNS), and characterized by high malignancy, recurrence rate poor survival. Conventional imaging techniques only provide information regarding anatomical location, morphological characteristics, enhancement patterns. In contrast, advanced such as dynamic contrast-enhanced (DCE) MRI or DCE CT can reflect tissue microcirculation, including vascular hyperplasia vessel permeability. Although several studies have...
There has been no research investigating susceptibility-weighted imaging (SWI) radiomics features in evaluating molecular makers gliomas. The aim of this study was to assess the predictive value extracted from structural magnetic resonance (MRI), apparent diffusion coefficient (ADC), and SWI determining World Health Organization (WHO) Grade, isocitrate dehydrogenase (
Xinbao pill (XBW), a traditional Chinese herbal formula, is widely used in clinical treatment for cardiovascular diseases; however, the therapeutic effect of XBW on myocardial ischaemia-reperfusion injury (MI/RI) unclear.This study evaluates cardioprotective and molecular mechanism against MI/RI.A phytochemistry-based network pharmacology analysis was to uncover MI/RI. Ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry method identify chemicals....
Attention-based recurrent neural network models for joint intent detection and slot filling have achieved a state-of-the-art performance. Most previous works exploited semantic level information to calculate the attention weights. However, few taken importance of word into consideration. In this paper, we propose WAIS, filling. Considering that strong relationship, further fusion gate integrates together jointly training two tasks. Extensive experiments show proposed model has robust...
There is a large number of combined heat and power units in northern China, due to the limit heating demand, operating mode setting electricity by has seriously took over consumption space other energy, resulting severe wind curtailment rationing situation some areas, so this paper studies deep peak regulation bidding strategy problem considering multiple uncertainties on virtual plants, established two-staged optimization model plant maximize net revenue, then introduced Shapely value...
In recent years, with the rapid popularization of Internet and emergence a large number Generation Z people, traditional clothing brands have gradually lost their competitiveness in market been surpassed or even replaced by emerging brands.This paper aims to put forward some suggestions Chinese on how deal transformation this environment.By analyzing consumption behavior main consumers current Market, Gen Z: highly connected network, motivated emotion experience pursuing personalization,...
This study aimed to the influence of comorbidities on hospitalization costs for inpatients with cerebral infarction.The data from medical records pertaining 76,563 diagnosed infarction were collected public hospital period between 1 January 2020 and 30 December in Gansu Province. EpiData 3.1 software was used collation, SPSS 25.0 analysis. Numbers percentages calculated categorical variables, chi-squared test compare differences groups, multiple independent-sample tests (Kruskal-Wallis H...
Calcitonin (CT) is a peptide hormone secreted by the parafollicular C cells of thyroid gland, salmon calcitonin was originally extracted from hind cheek salmon. Neointimal hyperplasia refers to excessive proliferation and migration vascular smooth muscle (VSMCs). In this study, rat model restenosis employed explore impact on neointima proliferation. administered via continuous injections for duration 14 days postsurgery, expression proteins associated with proliferation, migration,...
We examined the human ability to encode and utilize local global uncertainty information during a navigational task. Participants were tasked with navigating virtual maze in which wall locations obscured. Local cues direction provided guidance. The validities of separately jointly varied across two experiments. results demonstrated that participants effectively utilized both for navigation stronger reliance on heightened precision estimating their reliability. Our findings suggest...
Dozens of diffusion models have been created to describe the non-Gaussian nature diffusion. Nevertheless, many them imply assumptions that not rigorously confirmed, or includes abstract parameters. The purpose this study was observe characteristics varying curvature (VDC) indicators in several types brain tumor. D0 and D1 distribution were obtained for each subject. This illustrates potential applying a simple pure empirical model VDC on tumor imaging.