A5101829755- Advanced Neural Network Applications
- Colorectal Cancer Screening and Detection
- Remote Sensing in Agriculture
- Immune Response and Inflammation
- Text and Document Classification Technologies
- Maritime Navigation and Safety
- Spam and Phishing Detection
- Infrared Target Detection Methodologies
- Remote Sensing and Land Use
- Video Surveillance and Tracking Methods
- Remote-Sensing Image Classification
- Esophageal Cancer Research and Treatment
- Nuclear Structure and Function
- Pancreatic and Hepatic Oncology Research
- Cancer-related molecular mechanisms research
- Gallbladder and Bile Duct Disorders
- Web Data Mining and Analysis
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
- Antimicrobial Peptides and Activities
- RNA Research and Splicing
- Gastric Cancer Management and Outcomes
- Agricultural pest management studies
- Insect Pest Control Strategies
- Pediatric health and respiratory diseases
Renmin Hospital of Wuhan University
2015-2024
Wuhan University
2011-2024
Huawei Technologies (China)
2023
Abstract Background Wingless and Int-related protein (Wnt) ligands are aberrantly expressed in patients with colorectal cancer (CRC). However, the aberrant level of Wnt serum have not been explored. Here, we aimed to identify levels WNT4 explored its oncogenic role CRC. Methods The Oncomine database was used analyze relationship between prognosis ELISA performed measure conditioned medium from fresh CRC tissues adjacent normal tissues. Western blot immunohistochemistry were carried out...
The polyA tail of mRNAs is important for many aspects RNA metabolism. However, whether and how it regulates pre-mRNA splicing still unknown. Here, we report that the acts as a enhancer last intron via nuclear binding protein PABPN1 in HeLa cells. PABPN1-depletion induces retention group introns with weaker 3' splice site, they show strong 3'-end bias mainly locate speckles. essential PABPN1-enhanced functions length-dependent manner. Tethering to nonpolyadenylated transcripts also promotes...
The detection of elongated objects, such as ships, from satellite images has very important application prospects in marine transportation, shipping management, and many other scenarios. At present, the research general object using neural networks made significant progress. However, context ship remote sensing images, due to shape structure wide variety size, accuracy is often unsatisfactory. In particular, small-scale ships much lower than that large-scale ones. To this end, paper, we...
Semantic change detection (SCD) holds a critical place in remote sensing image interpretation, as it aims to locate changing regions and identify their associated land cover classes. Presently, post-classification techniques stand the predominant strategy for SCD due simplicity efficacy. However, these methods often overlook intricate relationships between alterations cover. In this paper, we argue that comprehending interplay of changes within maps key enhancing SCD’s performance. With...
Abstract Background Double-balloon enteroscopy (DBE) is a standard method for diagnosing and treating small bowel disease. However, DBE may yield false-negative results due to oversight or inexperience. We aim develop computer-aided diagnostic (CAD) system the automatic detection classification of abnormalities in DBE. Design methods A total 5201 images were collected from Renmin Hospital Wuhan University construct model localizing lesions during DBE, 3021 classifying into four classes,...
The present study aimed to investigate the effects of colony-stimulating factor-1 receptor (CSF-1R) on proliferation, migration and invasion in human nasopharyngeal carcinoma (NPC) 6-10B cell line, possible underlying mechanisms. Using a lentiviral transfection method, virus carrying CSF-1R gene was transfected into cells. expression then detected by reverse transcription-quantitative polymerase chain reaction western blot analysis, revealed be markedly enhanced Subsequently, an MTT assay...
To provide a foundation for national resistance management of the Asiatic rice borer, Chilo suppressalis (Walker) (Lepidoptera: Crambidae), study was carried out to determine dose-response and susceptibility changes over 5-yr period in insect from representative rice, Oryza sativa L., production regions. In total, 11 populations were collected 2002 2006 seven rice-growing provinces China, they used examine their levels monosultap, triazophos, fipronil, abamectin. Results indicated that most...
This paper works on the most intensively studied algorithm- k Nearest Neighbor algorithm. The purpose is to investigate performance of different similarity measures in kNN Chinese texts. two that we focus are cosine value and Jensen-Shannon Divergence. We use both corpus collected from Sogou, whose data extracts website Sohu.com, datasets have processed real word. results our experiment indicate difference metrics significantly affects categorization accuracy.
Abstract Background and Aim The implementation of computer‐aided detection (CAD) devices in esophagogastroduodenoscopy (EGD) could autonomously identify gastric precancerous lesions neoplasms reduce the miss rate prospective trials. However, there is still insufficient evidence their use real‐life clinical practice. Methods A real‐world, two‐center study was conducted at Wenzhou Central Hospital (WCH) Renmin Wuhan University (RHWU). High biopsy low strategies were adopted, CAD applied 2019...
The aim of the present study was to explore mechanism agonists in regulating transcriptional level polymeric immunoglobulin receptor (pIgR) salivary gland epithelial cells, thus revealing defense effect immune on bacteria oral cavity. Sixty patients with bacterial infection and 70 suffering from diseases without were selected randomly Renmin Hospital Wuhan University April 2015 2017. Ribonucleic acid (RNA) extracted cells all patients. Fluorescent quantitative polymerase chain reaction...
Ship detection is an important task in sea surveillance. In the past decade, deep learning-based methods have been proposed for ship from images and videos. Convolutional features are observed to be very effective representing objects. However, scales of convolution often lead different capacities feature representation. It unclear how scale influences performance learning detection. To this end, paper studies sensitivity anchor-free framework. Specifically, we employ classical CenterNet as...
K Nearest Neighbor (kNN) is a commonly-used text categorization algorithm. Previous studies mainly focused on improvements of the algorithm by modifying feature selection and k value selection. This research investigates possibility to use Jensen-Shannon Divergence as similarity measure in kNN classifier, compares performance, terms classification accuracy. The experiment denotes that based outperforms Cosine value, while performance also largely dependent number categories documents category.