A5103118884- Cancer-related molecular mechanisms research
- Air Quality Monitoring and Forecasting
- MicroRNA in disease regulation
- Air Quality and Health Impacts
- Machine Learning and ELM
- Indoor and Outdoor Localization Technologies
- Neural Networks and Applications
- Advanced Neural Network Applications
- DNA and Biological Computing
- Cardiovascular and Diving-Related Complications
- Medical Image Segmentation Techniques
- Brain Tumor Detection and Classification
- Advanced biosensing and bioanalysis techniques
- Retinal Diseases and Treatments
- Immune Cell Function and Interaction
- Statistical and Computational Modeling
- Natural Language Processing Techniques
- Topic Modeling
- Neural Networks and Reservoir Computing
- Machine Learning and Data Classification
- Retinal Imaging and Analysis
- Polydiacetylene-based materials and applications
- Prostate Cancer Diagnosis and Treatment
- RNA modifications and cancer
- Photonic and Optical Devices
Jiangxi University of Science and Technology
2025
University of Science and Technology of China
2022-2024
Shanghai Jiao Tong University
2015-2023
Beijing University of Posts and Telecommunications
2019-2023
Switch
2023
Chinese Academy of Sciences
2021-2022
State Key Laboratory of Networking and Switching Technology
2022
Changchun Institute of Applied Chemistry
2022
Tongji University
2021
Tongji Hospital
2021
Dysregulated long noncoding RNAs (lncRNAs) and microRNAs (miRNAs) mediating chemotherapeutic drug effects metastasis in pancreatic cancer (PC) are key reasons for the poor prognosis of this disease. lncRNA growth arrest-specific 5 (GAS5) is reported to be a tumor suppressor multiple cancers. However, functions GAS5 its related miRNAs PC poorly understood. This study explored potential mechanisms gemcitabine resistance metastasis. The results show that overexpression suppressed proliferation,...
Increasingly, more people are suffering from the effects of air pollution. This study took Beijing as an example and proposed attention-based quality predictor (AAQP) that could better protect The AAQP is a seq2seq model, it exploits historical data weather to predict future indexes. Although existing research has promoted for prediction, there still two problems. First, slow training speed so original RNN in encoder was replaced with fully connected accelerate process. Position embedding...
Pancreatic cancer is an aggressive malignancy with a high metastatic potential that results in mortality rate worldwide. Although macrophages have the to kill tumor cells and elicit immune responses against tumors, there evidence tumor-associated (TAMs) promote progression suppress T-cell responses. CC-chemokine ligand 20 (CCL20) its unique receptor 6 (CCR6) are exploited by for migration metastasis play important roles development of cancer. Recent studies shown expression CCL20 upregulated...
Emerging evidence indicates that microRNA (miR)-340 is downregulated in various human cancers, suggesting it acts as a tumor suppressor. The aim of the present study was to evaluate expression and role miR-340 esophageal squamous cell carcinoma (ESCC).The examined 64 paired ESCC adjacent non-tumor tissues by quantitative real time PCR. effects on proliferation metastasis were MTT Matrigel invasion assays. Tumor growth assessed subcutaneous inoculation cells into BALB/c nude mice. Targets...
Background/Aims: The microRNA (miR) 29 family has been studied extensively for its involvement in several diseases, and aberrant expression of members is associated with tumorigenesis cancer progression. Here, we examined the role miR-29a pancreatic tristetraprolin (TTP). Methods: We monitored TTP by qRT-PCR western blotting. effect on was determined through MTT assay migration assay. results were validated model. Results: found that up regulated tumor tissues cell lines positively...
The IEEE 802.11mc-2016 protocol enables certified devices to obtain precise ranging information using time-of-flight-based techniques. error increases in indoor environments due the multipath effect. Traditional methods utilize only measurements of current location, thus limiting abilities reduce influence problems. This article introduces a robust positioning method that leverages constraints multiple nodes at different positions. We transfer sequence temporal into virtual clients (VPCs)...
With rapid industrial development, air pollution problems, especially in urban and metropolitan centers, have become a serious societal problem require our immediate attention comprehensive solutions to protect human animal health the environment. Because bad quality brings prominent effects on daily life, how forecast future accurately tenuously has emerged as priority for guaranteeing of life many areas worldwide. Existing models usually neglect influence wind do not consider both distance...
In recent years, air quality has become a severe environmental problem in China. Since bad brought significant influences on traffic and people's daily life, how to predict the future precisely subtly, been an urgent important problem. this paper, Spatio-Temporal Extreme Learning Machine (STELM) method is proposed for prediction. STELM considers temporal spatial characteristics of data related meteorological data, constructs prediction model based ELM, realizes with more than 80% precision....
With the widespread development of location-based services, demand for accurate indoor positioning is getting more and urgent. Floor positioning, as a prerequisite in multi-story buildings, particularly important. Though lots work has been done on floor existing studies complex buildings with large hollow areas through multiple floors still cannot meet application requirements because low accuracy robustness. To obtain robust estimation we propose novel method, which combines Wi-Fi based...
Intrahepatic cholangiocarcinoma (ICC) is a rare and aggressive malignancy that often diagnosed at advanced stages, which limits treatment options. Despite its increasing incidence mortality worldwide, the pathogenesis of ICC not well understood. Here, we examined effect dysregulation innate immune responses on carcinogenesis by investigating role toll-like receptor (TLR)2 in invasiveness explored underlying mechanisms. Immunohistochemical analysis, real-time PCR, western blotting showed...
Indoor positioning methods have appeared to fulfill indoor location-based systems requirements, it is still a great challenge obtain high precision results of positioning. For example, fingerprint-based reach performances but cost for survey the environment in order collect sample and maintain location fingerprints. Systems based on log-distance path loss model suffer from multi-path problem adjustment Wi-Fi station powers, achieve low accuracy complex environments. The appearance fine time...
Air pollution is threatening human's health since the industrial revolution, but there are not efficient ways to solve air pollution, so forecasting quality has become an measure prevent citizens from hurting of heavy pollution. In this paper, we proposed advanced Seq2Seq (Sequence Sequence) model called attention-based (ABAFM) whose RNN encoder replaced by pure attention mechanism with position embedding. This improvement only reduces training time also enhances robustness models. We...
Image reconstruction through the opaque medium has great significance in fields of biophotonics, optical imaging, mesoscopic physics, and communications. Previous researches are limited simple linear scattering process. Here, we develop a nonlinear speckle decoder network, which can reconstruct phase information fundamental frequency wave via signal. Further, validate ability our model to recover complex structures by using MNIST CIFAR data sets, respectively. We then show that is able...
Named entity recognition (NER) is a basic task of natural language processing (nlp), which purpose to locate the named entities in text, and classify them into predefined categories such as persons (PER), locations (LOC), organizations (ORG). Nowadays, deep learning methods have been widely used this achieved advanced results. However, most NER conducted English not Chinese, because complex characteristics Chinese itself, current effect very satisfactory. In order cope with above problems,...
A significant challenge in block copolymers (BCP) synthesis is to precisely control the sequence and customize composition structure of target products from monomer mixtures. Herein, we reported a facile temperature-programmed switchable strategy based on deprotection chemistry CO2, enabling precise construction BCPs. The proposed pattern was achieved via temperature-triggered terpolymerization epoxides/five-membered cyclic carbonates/cyclic anhydrides protection CO2. chemoprotection...
Accurate segmentation of choroidal neovascularization (CNV) patterns is vital for precise lesion size quantification in age-related macular degeneration. In this paper, we develop a method unsupervised and parallel CNV optical coherence tomography based on grid tissue-like membrane (GTM) system. A GTM system incorporates modified Clustering QUEst (CLIQUE) algorithm into systems. Exploiting CLIQUE's aptitude clustering, systems can detect different shapes, positions density without the need...
Clustering is a classic combined optimization problem that widely used in pattern recognition, image processing, market analysis and so on. However, the efficiency of clustering algorithms decreases as amount data increases. In addition, most existing methods optimize only one objective therefore may be suitable for datasets with certain features. To address these limitations, this paper, we develop new hybrid chain-hypergraph P system (named HCHPS), which makes full use parallelism systems...
In the pursuit of Artificial General Intelligence (AGI), integration vision in language models has marked a significant milestone. The advent vision-language (MLLMs) like GPT-4V have expanded AI applications, aligning with multi-modal capabilities human brain. However, evaluating efficacy MLLMs poses substantial challenge due to subjective nature tasks that lack definitive answers. Existing automatic evaluation methodologies on large rely objective queries standard answers, inadequately...