A5011390157- Asphalt Pavement Performance Evaluation
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Infrastructure Maintenance and Monitoring
- Innovative concrete reinforcement materials
- Smart Materials for Construction
- Bioinformatics and Genomic Networks
- Cell Image Analysis Techniques
- Advanced biosensing and bioanalysis techniques
- Polymer Nanocomposites and Properties
- Cancer Immunotherapy and Biomarkers
- Extracellular vesicles in disease
- Concrete and Cement Materials Research
- Antenna Design and Optimization
- Cancer-related molecular mechanisms research
- Speech and Audio Processing
- Direction-of-Arrival Estimation Techniques
- Meromorphic and Entire Functions
- Computational Drug Discovery Methods
- Differential Equations and Boundary Problems
- Matrix Theory and Algorithms
- Gene Regulatory Network Analysis
- AI and Multimedia in Education
- Iterative Methods for Nonlinear Equations
- Analytic and geometric function theory
Wuhan Institute of Technology
2008-2025
Wuhan University of Science and Technology
2024
Shandong Normal University
2024
China Medical University
2024
China Academy of Chinese Medical Sciences
2024
Harbin Engineering University
2024
Hebei North University
2024
Lanzhou Jiaotong University
2024
Henan Province Water Conservancy Survey and Design Research
2024
Wuhan University of Technology
2020-2021
Abstract BRD4 protein plays a pivotal role in cell cycle regulation and differentiation. Disrupting the activity of has emerged as promising strategy for inhibiting growth proliferation cancer cells. Herein, we introduced BRD4‐targeting photothermal agent controlled degradation, aiming to enhance low‐temperature therapy (PTT) treatment. By incorporating inhibitor into cyanine dye scaffold, specifically bond bromodomain BRD4. Upon low power density laser irradiation, induced directly...
The YOLO series of target detection networks are widely used in transportation targets due to the advantages high accuracy and good real-time performance. However, it also has some limitations, such as poor scenes with large-scale variations, a large number computational resources being consumed, occupation more storage space. To address these issues, this study uses YOLOv8n model benchmark makes following four improvements: (1) embedding BiFormer attention mechanism Neck layer capture...
Abstract The early diagnosis and investigation of the pathogenic mechanisms complex diseases are most challenging problems in fields biology medicine. Network-based systems is an important technique for study diseases. present constructed dynamic protein-protein interaction (PPI) networks to identify dynamical network biomarkers (DNBs) analyze underlying from a level. We developed model-based framework construction series time-sequenced by integrating high-throughput gene expression data...
Single-cell RNA sequencing (scRNA-seq) provides a powerful tool for studying cellular heterogeneity and complexity. However, dropout events in single-cell RNA-seq data severely hinder the effectiveness accuracy of downstream analysis. Therefore, preprocessing with imputation methods is crucial to scRNA-seq To address issue over-smoothing smoothing-based methods, presented AcImpute, an unsupervised method that enhances by constraining smoothing weights among cells genes different expression...
The UV aging of bitumen has a significant influence on the pavement service life, therefore, research attracted increasing attention recently. It is known that bituminous pavements does not occur instantly through full depth, instead, depth increases gradually with time. limitation development mechanism clearly known. Various thicknesses membranes were prepared and light transmission absorption properties investigated by UV–visible spectrophotometric, aiming to determine penetration in after...
Single-cell RNA transcriptome data present a tremendous opportunity for studying the cellular heterogeneity. Identifying subpopulations based on scRNA-seq is hot topic in recent years, although many researchers have been focused designing elegant computational methods identifying new cell types; however, performance of these still unsatisfactory due to high dimensionality, sparsity and noise data. In this study, we propose type detection method by learning robust accurate similarity matrix,...
Research on waste tire pyrolysis carbon black (PCB) in bitumen mixtures indicates that it has excellent high-temperature rutting resistance; however, the degradation of low-temperature crack resistance and water stability PCB-modified asphalt limits its wide application. Therefore, hot-mix (HMA) were enhanced by addition chicken feather (WCF). Based response surface methodology (RSM), a variance analysis (ANOVA) P-value test model coefficient carried out, performance prediction models...
A fully discrete scheme is proposed for numerically solving the strongly nonlinear time-fractional parabolic problems. Time discretization achieved by using Grünwald–Letnikov (G–L) method and some linearized techniques, spatial standard second-order central difference scheme. Through a Grönwall-type inequality complementary kernels, optimal time-stepping error estimates of are obtained. Finally, several numerical examples given to confirm theoretical results.
The detection and classification of bone marrow (BM) cells is a critical cornerstone for hematology diagnosis. However, the low accuracy caused by few BM-cell data samples, subtle difference between classes, small target size, pathologists still need to perform thousands manual identifications daily. To address above issues, we propose an improved BM-cell-detection algorithm in this paper, called YOLOv7-CTA. Firstly, enhance model's sensitivity fine-grained features, design new module CoTLAN...
Abstract Background With the development of technology single-cell sequence, revealing homogeneity and heterogeneity between cells has become a new area computational systems biology research. However, clustering cell types becomes more complex with mutual penetration different instability gene expression. One way overcoming this problem is to group similar, related single together by means various analysis methods. Although some methods such as spectral can do well in identification types,...
The prediction of protein complexes based on the interaction network is a fundamental task for understanding cellular life as well mechanisms underlying complex disease. A great number methods have been developed to predict protein-protein (PPI) networks in recent years. However, because high throughput data obtained from experimental biotechnology are incomplete, and usually contain large spurious interactions, most network-based identification sensitive reliability PPI network. In this...