A5046009262- Bioinformatics and Genomic Networks
- Advanced Neural Network Applications
- Gene expression and cancer classification
- Single-cell and spatial transcriptomics
- Advanced Image and Video Retrieval Techniques
- Heat Transfer Mechanisms
- Robotic Path Planning Algorithms
- Robotics and Sensor-Based Localization
- Heat Transfer and Optimization
- Cancer-related molecular mechanisms research
- Advanced Image Fusion Techniques
- Viral Infectious Diseases and Gene Expression in Insects
- Mental Health Treatment and Access
- Video Surveillance and Tracking Methods
- Computational Drug Discovery Methods
- Biosimilars and Bioanalytical Methods
- Protein Structure and Dynamics
- Image Enhancement Techniques
- Data Management and Algorithms
- Industrial Vision Systems and Defect Detection
- Health, psychology, and well-being
- Remote-Sensing Image Classification
- Child and Adolescent Psychosocial and Emotional Development
- Gene Regulatory Network Analysis
- Healthcare Systems and Public Health
Nanjing University of Chinese Medicine
2022-2025
Tongji University
2022-2025
Jiangsu Province Hospital
2025
China University of Geosciences
2016-2024
Shanghai Jiao Tong University
2019-2024
Shanghai Chest Hospital
2017-2023
Shangrao Normal University
2023
Shandong Institute of Automation
2016-2023
Dalian Maritime University
2021-2022
Academy of Military Transportation
2009-2022
Microglial activation participates in white matter injury after cerebral hypoperfusion. However, the underlying mechanism is unclear. Here, we explore whether activated microglia aggravate via complement C3-C3aR pathway chronic Methods: Adult male Sprague-Dawley rats (n = 80) underwent bilateral common carotid artery occlusion for 7, 14, and 28 days. Cerebral vessel density blood flow were examined by synchrotron radiation angiography three-dimensional arterial spin labeling. Neurobehavioral...
The hydrothermal performance of the microchannel heat sinks with different pin fins (PF-MCHS) is studied experimentally and numerically. Five fins, namely rectangular fin (RPF), backward triangular (BTPF), forward (FTPF), diamond (DPF) ellipsoidal (EPR) are integrated in for enhancing transfer. results show that PF-MCHSs possess 51.8-94.8% higher average Nusselt number than conventional (CMC) without which indicates these all can cause significant enhancement microchannels. Among finned...
Abstract Integrating single-cell datasets produced by multiple omics technologies is essential for defining cellular heterogeneity. Mosaic integration, in which different share only some of the measured modalities, poses major challenges, particularly regarding modality alignment and batch effect removal. Here, we present a deep probabilistic framework mosaic integration knowledge transfer (MIDAS) multimodal data. MIDAS simultaneously achieves dimensionality reduction, imputation correction...
25-hydroxyvitamin D [25(OH)D] concentrations and physical activity (PA) are linked both associated with changes in mortality. We examined the association of 25(OH)D PA all-cause or cause-specific mortality risk stroke survivors. The analysis included 677 survivors from National Health Nutrition Examination Survey (NHANES) 2007–2008 to 2017–2018. Independent joint associations 25(OH)D, among were analyzed using weighted Cox regression. identified 133 deaths [major adverse cardiovascular...
Intelligent vehicles are constrained by road, resulting in a disparity between the assumed six degrees of freedom (DoF) motion within Visual Simultaneous Localization and Mapping (SLAM) system approximate planar local areas, inevitably causing additional pose estimation errors. To address this problem, stereo SLAM with road constraints based on graph optimization is proposed, called RC-SLAM. Addressing challenge representing roads parametrically, novel method proposed to as discrete planes...
Recently, several studies have drawn attention to the determination of a minimum set driver proteins that are important for control underlying protein-protein interaction (PPI) networks. In general, dominating (MDS) model is widely adopted. However, because MDS does not generate unique configuration, multiple different MDSs would be generated when using optimization algorithms. Therefore, among these MDSs, it difficult find out one represents true proteins.To address this problem, we develop...
<div class="section abstract"><div class="htmlview paragraph">Electrochemical impedance spectroscopy (EIS) is often used for fault diagnosis as an important parameter to characterize the state of fuel cells. However, online requires high real-time performance and usually can only measure single-frequency or dual-frequency impedance. Too few diagnostic features make it difficult traditional methods based on EIS ensure accuracy. Therefore, this paper proposes a method fast...
Hyperspectral target detection is widely used in both military and civilian fields.In practical applications, how to select a low-correlation representative band subset reduce redundancy worth discussing.However, most of the existing selection (BS) methods usually bands according statistics or correlation, which neglect spectral characteristics desired are not specially designed for detection.Therefore, this article proposed novel BS method, called constrained-target with subspace partition...
In cancer biology, it is very important to understand the phenotypic changes of patients and discover new subtypes. Recently, microarray-based technologies have shed light on this problem based gene expression profiles which may contain outliers due either chemical or electrical reasons. These undiscovered subtypes be heterogeneous with respect underlying networks pathways, are related only a few interdependent biomarkers. This motivates need for robust expression-based methods capable...
Differential network analysis is an important tool to investigate the rewiring of gene interactions under different conditions. Several computational methods have been developed estimate differential networks from expression data, but most them do not consider that may be driven by individual genes. New simultaneously take account changes in and levels are needed.: In this article, we propose a method considers genes when identifying edges. First, two hypothesis test statistics used quantify...
The Mental Health Literacy Scale (MHLS) is the most widely used and strong theory-based measurement tool to gain an understanding of mental health knowledge ability. This study aimed test psychometric properties Chinese version (MHLS-C) document norm its influential factors literacy among nurses. MHLS was translated following Brislin's translation model tested with a sample 872 clinical registered Jefferson Empathy-Health Professionals (JSE-HP), Patient Questionnaire-2 (PHQ-2), Generalized...
Mental health literacy (MHL) is crucial to address issues related mental illness. Nurses' MHL even more important because they are expected deal with both the physical and psychological consequences of disorders.This study investigated level, discrepancy, characteristics among Chinese nurses from public general psychiatric hospitals; identified influential factors; explored relationship between status.Using a stratified cluster sampling method select participants, cross-sectional survey was...
This paper proposes a new multiobjective evolutionary algorithm based on the black hole with individual density assessment (cell density), called “adaptive algorithm” (AMOBH). Cell has characteristics of low computational complexity and maintains good balance convergence diversity Pareto front. The framework AMOBH can be divided into three steps. Firstly, front is mapped to objective space parallel cell coordinate system. Then, adjust strategies adaptively, Shannon entropy employed estimate...
Consistent performance of anti-drug antibody (ADA) assays through all stages clinical development is critical for the assessment immunogenicity and interpretation PK, PD, safety, efficacy. The electrochemiluminescent commonly employed ADA measurement use drug conjugated with ruthenium biotin to bind in samples. Here we report an association between high nonspecific responses certain drug-naïve individuals storage buffer reagents used a monoclonal assay. Ruthenylated stored phosphate-buffered...
Abstract Backgroud To facilitate advances in personalized medicine, it is important to detect predictive, stable and interpretable biomarkers related with different clinical characteristics. These characteristics may be heterogeneous respect underlying interactions between genes. Usually, traditional methods just focus on detection of differentially expressed genes without taking the into account. Moreover, due typical low reproducibility selected biomarkers, difficult give a clear...
Background The latest census data show that people over 60 years of age account for about 18.7% the total population in China, and aging has become an irreversible trend 21st century. This study aimed to investigate current status factors influencing care elderly community day centers order lay foundation development better services centers. Methods was a cross-sectional survey using convenience sampling Nanjing, China. instrument Day Elderly Care Service Needs Questionnaire, which included...
In this paper, a novel algorithm called Nonlocal Adaptive Mean Filter (NAMF) for removing salt-and-pepper (SAP) noise from corrupted images is presented. We employ an efficient window detector with adaptive size to detect the noise. The noisy pixel then replaced by combination of its neighboring pixels, and finally, SAP based nonlocal mean filter used reconstruct intensity values pixels. Extensive experimental results demonstrate that NAMF can obtain better performance in terms quality...
Band selection (BS) methods based on deep learning have achieved significant development. However, most existing band commonly utilize a fully connected neural network (FCN) or convolutional (CNN) to explore the correlation among bands and rarely combine two styles of select bands. Moreover, almost all employ form combination <inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math></inline-formula> norm Sigmoid constitute attention model, which may lead losing some informative...