A5076427704- Domain Adaptation and Few-Shot Learning
- Image Processing Techniques and Applications
- Advanced Neural Network Applications
- AI in cancer detection
- COVID-19 diagnosis using AI
- Cancer-related molecular mechanisms research
- Cell Image Analysis Techniques
- MicroRNA in disease regulation
- Anomaly Detection Techniques and Applications
- Multimodal Machine Learning Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced Vision and Imaging
- Cancer, Lipids, and Metabolism
- Protein Degradation and Inhibitors
- RNA modifications and cancer
- Ferroptosis and cancer prognosis
- Advanced Image Processing Techniques
- Network Security and Intrusion Detection
- Machine Learning and Data Classification
- Autonomous Vehicle Technology and Safety
- Metaheuristic Optimization Algorithms Research
- Cancer, Hypoxia, and Metabolism
- Advanced Fluorescence Microscopy Techniques
- Phosphodiesterase function and regulation
- RNA Research and Splicing
Guizhou University
2025
Zhejiang University
2021-2024
Second Affiliated Hospital of Nanchang University
2024
Nanchang University
2024
Jiangxi Pingxiang People's Hospital
2024
Gannan Medical University
2024
National University of Defense Technology
2019-2023
Wenzhou Medical University
2022
First Affiliated Hospital of Wenzhou Medical University
2022
Amgen (United States)
2022
Background: Tumor metastasis of colorectal cancer (CRC) is the main cause death in most patients and major difficulty comprehensive CRC treatment. Circular RNAs (circRNAs) affect many biological functions solid tumors. However, their mechanisms remain unclear. Methods: RNA sequencing (RNA-seq) quantitative real-time PCR were performed to screen differentially expressed circRNAs between tissues adjacent normal tissues. CCK-8, cell migration wound healing assays determine circRHOBTB3...
Liver cancer is one of the cancers with highest mortality. In order to help doctors diagnose and treat liver lesion, an automatic segmentation model urgently needed due manually time-consuming error-prone. this paper, we propose a nested attention-aware network, named Attention UNet++. Our proposed method has deep supervised encoder-decoder architecture redesigned dense skip connection. UNet++ introduces attention mechanism between convolutional blocks so that features extracted at different...
The success of small molecule therapeutics that promotes degradation critical cancer targets has fueled an intense effort to mimic this activity with bispecific molecules called PROTACs (proteolysis targeting chimeras). simultaneous binding a ligase and target can induce proximity-driven ubiquitination degradation. VHL CRBN are the two best characterized PROTAC ligases, but rules governing their cellular activities remain unclear. To establish these requirements extend them new we screened...
The gut microbiome may have an important influence on the development of diabetes mellitus type 2 (DM2). To better understand DM2 pandemic in ethnic minority groups China, we investigated and compared composition richness microbiota healthy, normal glucose tolerant (NGT) individuals patients from two Xinjiang, northwest Uygurs Kazaks. conserved V6 region 16S rRNA gene was amplified by PCR isolated DNA. DNA sequenced analyzed. An average 4047 high quality reads unique tag sequences were...
Self-supervised pre-training has become the priory choice to establish reliable neural networks for automated recognition of massive biomedical microscopy images, which are routinely annotation-free, without semantics, and guarantee quality. Note that this paradigm is still at its infancy limited by closely related open issues: (1) how learn robust representations in an unsupervised manner from unlabeled images low diversity samples? (2) obtain most significant demanded a high-quality...
Mainstream unsupervised domain adaptation (UDA) methods align feature distributions across different domains via adversarial learning. However, most of them focus on global distribution alignment, ignoring the fine-grained discrepancy. Besides, they generally require auxiliary models, bringing extra computation costs. To tackle these issues, this study proposes an UDA method that differentiates individual samples without help models. end, we introduce a novel discrepancy metric, termed style...
Osteosarcoma is a very serious primary bone cancer with high death rate and dismal prognosis. Since there no permanent therapy for this condition, it necessary to develop cure. Therefore, investigation was carried out assess the impacts biological functions of hydroxysafflor yellow A (HYSA) in osteosarcoma cell lines (MG63). In investigational study, MG63 cells were utilized. Microarray experiments, quantitative polymerase chain reaction (qPCR), immunofluorescent staining, extracellular...
Parkinson’s disease (PD) is a common and complex neurodegenerative disease; the pathogenesis of which still uncertain. Exosomes, nanosized extracellular vesicles, have been suggested to participate in PD, but their role unknown. Here, metabolomic analysis serum brain exosomes showed differentially expressed metabolites between 1-Methyl-4-phenyl-1, 2, 3, 6-tetrahydropyridine hydrochloride- (MPTP-) induced PD mice control mice, such as oxidized lipids, vitamins, cholesterol. These were...
This paper presents a novel adaptive linear and normalized combination (ALNC) method that can be used to combine the component radial basis function networks (RBFNs) implement better approximation regression tasks. The optimization of fusion weights is obtained by solving constrained quadratic programming problem. According instantaneous errors generated RBFNs, ALNC able perform selective ensemble multiple leaners adaptively adjusting from one instance another. results experiments on eight...
Baicalin (5,6-dihydroxy-7-o-glucuronide flavone) is an extract from the roots of Chinese herb Huang Qin (Scutellaria baicalensis Georgi) and reported to have antioxidative, antiproliferative, anti-inflammatory, anticancer activities. This study aimed investigate inhibitory effect baicalin on human hepatocellular carcinoma (HCC) cells involvement endoplasmic reticulum stress-induced cell apoptosis. Two HCC lines, HepG2 SMMC7221, were used in this study. The incubated with solutions at various...
Abstract Heart failure with reduced ejection fraction (HFrEF) is associated high mortality, highlighting an urgent need for new therapeutic strategies. As stress-activated cardiac signaling cascades converge on the nucleus to drive maladaptive gene programs, interdicting pathological transcription a conceptually attractive approach HFrEF therapy. Here, we demonstrate that CDK7/12/13 are critical regulators of activation in heart can be pharmacologically inhibited improve HFrEF. inhibition...
Measuring stride variability and dynamics in children is useful for the quantitative study of gait maturation neuromotor development childhood adolescence. In this paper, we computed sample entropy (SampEn) average interval (ASI) parameters to quantify series 50 gender-matched participants three age groups. We also normalized SampEn ASI values by leg length body mass each participant, respectively. Results show that original consistently decrease over significance level Mann-Whitney U test...
Protocol Reverse Engineering (PRE) is crucial for information security of Internet-of-Things (IoT), and message clustering determines the effectiveness PRE. However, quality services still lags behind strict requirement IoT applications as results are often coarse-grained with intrinsic type hidden in messages largely ignored. Aiming at this problem, study proposes a type-aware approach to guided by information. The regards combination n-grams, it employs Latent Dirichlet Allocation (LDA)...