A5022525223- Radiation Effects in Electronics
- HVDC Systems and Fault Protection
- High-Voltage Power Transmission Systems
- Semiconductor materials and devices
- Renal Diseases and Glomerulopathies
- Integrated Circuits and Semiconductor Failure Analysis
- Data Management and Algorithms
- MicroRNA in disease regulation
- Advanced Control Systems Optimization
- Cancer-related molecular mechanisms research
- Smart Grid and Power Systems
- Power Systems and Renewable Energy
- Time Series Analysis and Forecasting
- Data Mining Algorithms and Applications
- Advancements in Semiconductor Devices and Circuit Design
- Fault Detection and Control Systems
- Text and Document Classification Technologies
- Power Systems and Technologies
- Microgrid Control and Optimization
- Circular RNAs in diseases
- Power System Optimization and Stability
- Industrial Technology and Control Systems
- Advanced Text Analysis Techniques
- Topic Modeling
- Hepatitis B Virus Studies
Nanjing Agricultural University
2020-2025
Guangdong Hydropower Planning & Design Institute
2022-2024
Harbin Medical University
2014-2024
Beijing Union University
2021-2024
China Power Engineering Consulting Group (China)
2023-2024
Xinjiang University
2023-2024
Zhejiang University
2003-2023
Northwest Institute of Nuclear Technology
2012-2023
Indiana University – Purdue University Indianapolis
2016-2023
Indiana University School of Medicine
2011-2023
Despite advances in wound closure techniques and devices, there is still a critical need for new methods of enhancing the healing process to achieve optimal outcomes. Recently, stem cell therapy has emerged as approach accelerate healing. Adipose-derived cells (ASCs) hold great promise healing, because they are multipotential capable differentiation into various lineages secretion angiogenic growth factors. The aim this study was evaluate benefit ASCs on then investigate probable mechanisms....
Understanding the rapidly growing short text is very important. Short different from traditional documents in its shortness and sparsity, which hinders application of conventional machine learning mining algorithms. Two major approaches have been exploited to enrich representation text. One fetch contextual information a directly add more text; other derive latent topics existing large corpus, are used as features The latter approach elegant efficient most cases. trend along this direction...
Zero-shot Recognition (ZSR) is to learn recognition models for novel classes without labeled data. It a challenging task and has drawn considerable attention in recent years. The basic idea transfer knowledge from seen via the shared attributes. This paper focus on transductive ZSR, i.e., we have unlabeled data classes. Instead of learning separately as existing works, put forward joint approach which learns model space (SMS) such that can be effectively transferred between using An...
With increasing penetration of wind power, it is recognized that manufacturer-specific models turbines are not appropriate for power system studies, and the equivalent model farms required by dynamic modeling poses a complicated technical challenge. In this paper, practical method with doubly fed induction generator (DFIG) proposed. Three critical steps involved in method. Step 1, turbine, incorporating complete fault ride through process constructed validated an operational DFIG turbine. 2,...
Pedestrian attributes recognition is to predict attribute labels of pedestrian from surveillance images, which a very challenging task for computer vision due poor imaging quality and small training dataset. It observed that semantic be recognised tend show or visual spatial correlation. Attributes can grouped by the correlation while previous works mostly ignore this phenomenon. Inspired Recurrent Neural Network (RNN)'s super capability learning context correlations, paper proposes an...
Cross-domain text classification aims to automatically train a precise classifier for target domain by using labeled data from related source domain. To this end, the distribution gap between different domains has be reduced. In previous works, certain number of shared latent features (e.g., topics, principal components, etc.) are extracted represent documents domains, and thus reduce gap. However, only relying as bridge may limit amount knowledge transferred. This limitation is more serious...
MicroRNAs play an important role in the regulation of cancer migration, invasion and metastasis. Patients with triple-negative breast (TNBC) have a high incidence early relapse metastasis; however, molecular basis for metastasis recurrence these individuals remains largely unknown. Herein, we demonstrate that miR-136 is anti-invasive microRNA TNBC suppresses mesenchymal Our results demonstrated was downregulated negative correlated WHO grades. However, RASAL2 identified as functional target...
H19, a paternally imprinted noncoding RNA, has been found to be overexpressed in various cancers, including colorectal cancer (CRC), and may function as an oncogene. However, the mechanism by which H19 regulates CRC progression remains poorly understood. In this study, we aimed assess expression levels tissues, determine effect of on proliferation, explore proliferation CRC. We measured using qRT-PCR analysed effects colon cell via growth curve, viability assay, colony formation assays. To...
Large-scale integration of multitype renewable energy (RE) sources (intermittent sources) has become an important feature in smart grid development all over the world. It is internationally recognized that island (or weak-tie connected) power grids are best platforms for intermittent test and demonstration because their abundant RE resources, scarcity conventional energy, technical difficulty with accommodation energy. The ongoing research on Hainan (the second biggest China) will achieve a...
Abstract It is still a huge challenge to introduce effective crack‐healing ability into energetic composites with high oxidizer content. In this article, poly(urea‐urethane) elastomer was prepared by the polycondensation reaction of glycidyl azido polymer (GAP), isophorone diisocyanate (IPDI), and 2‐aminophenyl disulfide (2‐APD). structure, hybrid dynamic lock, including multilevel H‐bonds bonds, not only provides abundant interactions promotes chain diffusion, but also enhances physical...
To fulfill the Chinese government's targets for energy conservation and emission reductions, significant efforts to increase efficiency reduce emissions in system have been made by developing combined heat power plants, expanding transmission, incorporating renewables. These elements are not always compatible with each other, however. Renewables particular face difficulties being integrated into system, a portion of this generation is often curtailed, from wind. This article describes work...
Active learning has been proven to be effective in reducing labeling efforts for supervised learning. However, existing active work mainly focused on training models a single domain. In practical applications, it is common simultaneously train classifiers multiple domains. For example, some merchant web sites (like Amazon.com) may need set of predict the sentiment polarity product reviews collected from various domains (e.g., electronics, books, shoes). Though different have their own unique...
An improved single-machine equivalent method is proposed for wind power plants (WPPs) by calibrating the postfault recovery behaviors. A real WPP simulated with extensive scenarios to evaluate traditional model, and it found that its error mainly resulted from process. The simulation analysis further indicates a turbine operating at different speeds restores prefault active certain ramp rate after fault clearance, starting time. Taking two-machine as an example, analytical expression of...
Recently, active learning has been applied to recommendation deal with data sparsity on a single domain. In this paper, we propose an strategy for alleviate the in multi-domain scenario. Specifically, our proposed simultaneously consider both specific and independent knowledge over all domains. We use expected entropy measure generalization error of domain-specific variance-based domain-independent knowledge. The unified function effectively combine these two measurements. compare five...
Particulate matter (PM) is a carrier of many substances. Microorganisms are vital constituents contained in PM, and their varieties concentrations closely connected to human health animal production. This study aimed investigate the distribution characteristics bioaerosols inside pig house respiratory tract pigs. Environmental indices nursery were monitored winter, including temperature, relative humidity, total suspended particulate (TSP), PM10, PM2.5, NH3, CO2, CO NO. The airborne...
Previous studies have demonstrated that long non-coding RNAs (lncRNAs) serve an important role in carcinogenesis. BC200 is a lncRNA reportedly associated with ovarian cancer. The aim of the present study was to investigate this potential association between and cancer, subsequently analyze biological function disease. expression compared cancer tissue normal samples through use quantitative polymerase chain reaction. To allow be analyzed, small interfering RNA used knock down SKOV3 A2780...