- Machine Learning in Bioinformatics
- Computational Drug Discovery Methods
- Advanced MRI Techniques and Applications
- Schizophrenia research and treatment
- Graphene and Nanomaterials Applications
- Meteorological Phenomena and Simulations
- Climate variability and models
- Functional Brain Connectivity Studies
- Protein Structure and Dynamics
- Botanical Research and Applications
- Advanced Neuroimaging Techniques and Applications
- Cerebrovascular and Carotid Artery Diseases
- Advanced biosensing and bioanalysis techniques
- Bipolar Disorder and Treatment
- Noise Effects and Management
- Atomic and Subatomic Physics Research
- Laser-induced spectroscopy and plasma
- Cryospheric studies and observations
- Nanoplatforms for cancer theranostics
- Gold and Silver Nanoparticles Synthesis and Applications
- Technology Assessment and Management
- Gene expression and cancer classification
- Traditional Chinese Medicine Studies
- Space Exploration and Technology
- Neurological disorders and treatments
Nanjing Brain Hospital
2024-2025
Nanjing Medical University
2024-2025
Hefei University
2025
Zhejiang Environmental Monitoring Center
2023
Nankai University
2019-2021
Nanjing University of Information Science and Technology
2020
Protein corona formation is critical for the design of ideal and safe nanoparticles (NPs) nanomedicine, biosensing, organ targeting, other applications, but methods to quantitatively predict protein corona, especially functional compositions, remain unavailable. The traditional linear regression model performs poorly as measured by R 2 (less than 0.40). Here, performance with over 0.75 in prediction was achieved integrating a machine learning meta-analysis. NPs without modification surface...
Abstract Biofilms contribute to bacterial infection and drug resistance are a serious threat global human health. Antibacterial nanomaterials have attracted considerable attention, but the inhibition of biofilms remains major challenge. Herein, we propose nanohole-boosted electron transport (NBET) antibiofilm concept. Unlike known antibacterial mechanisms (e.g., reactive oxygen species production cell membrane damage), nanoholes with atomic vacancies serve as electronic donors receptors,...
A proposed machine learning method capable of mining feature interactions reveals the mechanisms bio-nano interactions.
Air pollution is of high relevance to human health. In this study, multiple machine-learning (ML) models—linear regression, random forest (RF), AdaBoost, and neural networks (NNs)—were used explore the potential impacts air-pollutant concentrations on incidence pediatric respiratory diseases in Taizhou, China. A number explainable artificial intelligence (XAI) methods were further applied analyze model outputs quantify feature importance. Our results demonstrate that there are significant...
Myocardial infarction, as the principal type of ischemic heart disease, has currently become focus research on its prevention and treatment strategies. From perspective myocardial infarction pathogenesis, it is urgent to impede progression this disease improve diagnosis techniques. Ferroptosis, a form programmed cell death mechanistically distinct from apoptosis autophagy, implicated throughout pathogenesis infarction. Dysregulation protein translation leads abnormal expression, disruption...
Abstract Forecasts produced by EPSs provide the potential state of future atmosphere and quantify uncertainty. However, raw ensemble forecasts from a single EPS are typically characterized underdispersive predictions, especially for precipitation that follows right-skewed gamma distribution. In this study, censored shifted distribution model output statistics (CSG-EMOS) is performed as one state-of-the-art methods probabilistic postprocessing across China. Ensemble multiple EPSs, including...
Both gut microbes and environmental contamination may cause metabolic disorders obesity. However, the relationships among microbes, obesity remain obscure. The drinking water on a national scale (31 cities in China) contained nanocolloid-pattern at mg/L level, concentration that is 10- to 100-fold higher than commonly reported pollutants. Exposure nanocolloids (environmentally related dose, 0.15 mg/kg) for three weeks increased body weight leptin levels of mice decreased expression...
<p>High spatial resolution weather forecasts that capture regional-scale dynamics are important for natural hazards prevention, especially the regions featured with large topographical variety and local climate. While deep convolutional neural networks have made great progress in single image super-resolution (SR) which learns mapping relationship between low- high- images, limited efforts been to explore potential of downscaling this way. In study, three advanced SR learning...
Knowledge of structural classes is applied in numerous important predictive tasks that address and functional features proteins, although the prediction accuracy protein not high. In this study, 45 different were rationally designed to model differences between classes, among which, 30 them reflect combined sequence information. terms correlation function, can be converted a digital signal sequence, from which we generate 20 discrete Fourier spectrum numbers. According segments amino with...
Abstract Experimental studies were performed to explore the ignition performance of rotating gliding arc. Dual-axial swirler and beveled holes combined radial vanes used produce The test with dual-axial at normal temperature pressure showed that fuel air ratio (FAR) was reduced by more than 30 % compared conventional method. four kinds swirlers compared. tests also ground low high altitude conditions. results FAR 20 3.0 km higher 4.5 5.5 result indicated had a obvious influence on discharge...
Treatment-resistant schizophrenia (TR-SZ) and non-treatment-resistant (NTR-SZ) lack specific biomarkers to distinguish from each other. This investigation aims identify consistent dysfunctional brain connections with different atlases, multiple feature selection strategies, several classifiers in distinguishing TR-SZ NTR-SZ.
Abstract Background and Hypothesis Respective abnormal structural connectivity (SC) functional (FC) have been reported in individuals with schizophrenia. However, transmodal associations between SC FC following antipsychotic treatment, especially female schizophrenia, remain unclear. We hypothesized that increased SC-FC coupling may be found could normalized after treatment. Study Design Sixty-four drug-naïve patients first-diagnosed schizophrenia treated drugs for 8 weeks, 55 healthy...
Compressed sensing (CS) is a novel magnetic resonance imaging technique to accelerate scanning under the premise of ensuring image quality. Whole-heart coronary MRA with CS can assess artery lesions. However, quality still sensitive many factors. In this study, we demonstrated that there were statistical differences in parts different scan orders when using AF 6, where at late stage examinations showed high It might be optimal choice start later cardiac MRI practice.