- Complex Network Analysis Techniques
- scientometrics and bibliometrics research
- VLSI and FPGA Design Techniques
- Web visibility and informetrics
- Scientific Computing and Data Management
- Optimal Power Flow Distribution
- Software Engineering Research
- Reliability and Maintenance Optimization
- Smart Grid Energy Management
- Wireless Sensor Networks and IoT
- VLSI and Analog Circuit Testing
- Urological Disorders and Treatments
- Technology Assessment and Management
- Metaheuristic Optimization Algorithms Research
- Product Development and Customization
- Spam and Phishing Detection
- Web Data Mining and Analysis
- Research Data Management Practices
- Data Quality and Management
- Microgrid Control and Optimization
- Urologic and reproductive health conditions
- Biomedical Text Mining and Ontologies
- Advanced Graph Neural Networks
- Foreign Body Medical Cases
- Renal cell carcinoma treatment
University of Electronic Science and Technology of China
2003-2024
Second Affiliated Hospital of Dalian Medical University
2024
Nanjing Agricultural University
2012-2024
Hitachi Global Storage Technologies (United States)
2019-2024
Dalian Medical University
2024
Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital
2021-2022
East University Of Heilongjiang
2021
Northwestern Polytechnical University
2017
Jilin University of Finance and Economics
2016
Changchun University
2016
To mitigate the impact of extended power outages from extreme weather events, utilities are trying to improve existing restoration practices by adopting many emerging technologies. The coordination will be more complicated when participants such as EVs expected provide grid services during and customers demanding less impact. In this paper, an integrated formulation for service restoration, crew dispatch, EV dispatch with distributed energy resources (DER) control is proposed. A unified...
The top 100 university websites in mainland China have been selected as samples to explore the link relationship between their using principal component, multidimensional scale and social network analysis methods, such co-link, betweenness, k-core. These relationships reflect characteristics of comprehensive strength, influential power subject types universities. Macroscopically, are typically linked for influence, while subject/regional relations discovered through sub-network at...
Abstract A compact bandpass filter (BPF) with wide stopband characteristics using stepped impedance resonator (SIR) is presented. To improve performance, a miniaturized short-circuit centered hairpin (SCSIHR) internal parallel coupled lines proposed. Owing to the canceling effect of mixed couplings, multiple transmission zeros can be obtained in stopband. The odd- and even-mode analysis applied proposed SCSIHR filter. new BPF at 2.17GHz has been designed fabricated verify validity method....
Abstract Background Only a few cases have been reported about active foreign body implantation in the cavernous of penis. Case presentation A 47-year-old man inserted two needles from glans penis into bilateral penile sponge body. Subsequently, migrated through pelvic cavity. Attempts to remove were unsuccessful. Eventually, after duration exceeding one month, displaced removed stages buttocks. Conclusion intracavernosal-injection-therapy-associated needle breakage and retention globally....
Among various anti-phishing solutions, Machine Learning techniques are considered to be promising. The purpose of this study was evaluate the effect C4.5 decision tree algorithm on phishing website detection. In experiment, had learned two models using datasets respectively, which were PWD and PWD2, latter obtained through dimensionality reduction former. Under 10-fold cross-validation, metrics indicated that all done very well. results corrected paired t-test under significance 0.05 (two...
The study presented in this paper exploited several possible ways to meet the needs of link analysis Webometrics and developed a prototype (LinkDiscoverer) that collects data from both real-time links search engines. consists two parts: crawling part for collecting given domain or site engine harvesting engines by using specific commands. An experiment was conducted evaluate performance LinkDiscoverer on analysis. results show LinkDiscovererpsilas functions can well satisfy This contributes...
Software programs are among the most important tools in data‐driven research. The popularity of well‐known packages and corresponding large numbers citations received bear testimony contribution scientific software to academic Yet is not generally recognized as an outcome. In this study, a usage‐based model proposed with varied indicators including citations, mentions, downloads measure importance software. We performed investigation on sample international bioinformatics research articles,...
This paper understands Hall's "cultural identity theory" through the cultural phenomenon in ethnic dense.Through study of connotation, definition, characteristics and construction mode theory", author digests this theory further, reflection theory, put it into actual teaching, combined with cross-cultural hoping to understand definition identity.
Abstract Open data as an integral part of the open science movement enhances openness and sharing scientific datasets. Nevertheless, normative utilization journals, papers, datasets, citations necessitates further research. This study aims to investigate citation practices associated with papers explore role in disseminating Dataset accession numbers from NCBI databases were employed analyze prevalence for PubMed Central. A dataset practice identification rule was subsequently established....
Background: To determine the risk factors for postoperative complications after primary hypospadias repair. Hypospadias has a high complication rate, and of have attracted extensive attention.
Due to the high penetration of distributed energy resources (DERs) in distribution system, there is an increasing need for advanced tools thoroughly study impacts DERs on networks under various DER control/modeling scenarios. This type not only requires a powerful network simulation engine grids, but also flexible and interactive environment easy development analysis/control algorithms, e.g., cutting-edge machine learning packages. If software can be open-sourced, power industry further...
In this paper, two heuristic resource allocation algorithms are proposed for downlink of multiuser orthogonal frequency division multiplexing (OFDM) distributed antenna system (DAS). The objectives to maximize total rate under fairness among users constraint. Unlike the existing that allocate each subcarrier only one user within system, based on shared criterion allow be allocated multiple through different antennas. simulation results show can provide much higher spectral efficiency than...
<title>Abstract</title> <bold>Background</bold> Comparative studies between robotic and laparoscopic surgeries primarily focus on surgical aspects, with less emphasis anesthesia. This study explores the role of anesthesia team in making complex decisions robotic-assisted surgery (RALS) conventional (CLS) by comparing postoperative indicators from Enhanced Recovery After Surgery (ERAS). <bold>Methods</bold>: retrospective analysis included patients who underwent partial nephrectomy radical...
Abstract Background Hypospadias with lichen sclerosus (LS) poses surgical challenges due to lack of materials for urethral reconstruction and coverage the limited number reports on this clinical condition. Objectives To report strategies outcomes primary redo hypospadias patients LS. Materials methods We conducted a retrospective observational descriptive study 31 primary/redo LS between 2013 2023. Of these patients, 9 had 7 distal types 2 proximal types, 22 were patients. Nineteen underwent...
The development of surrogate models based on limited data is crucial in enhancing the speed structural analysis and design optimization. Surrogate are highly effective alleviating challenges between variables performance evaluation. Bidirectional Long Short-Term Memory (BiLSTM) an advanced recurrent neural network that exhibits significant advantages processing sequential data. However, training BiLSTM involves adjustment multiple hyperparameters (such as number layers, hidden units,...
Session-based recommendation (SBR) aims to predict the next item based on anonymous sessions, which has become a hot research area in recent years. A variety of SBR models have been proposed, and graph neural network (GNN)-based are shown achieve state-of-the-art performance SBR. In our research, we observe that there is decrease for sessions with short length, hinders overall models. To alleviate this problem, propose add some virtual item(s) into as supplementary contextual information...
Utilities and aggregators are facing operational challenges due to the rising integration of distributed energy resources (DERs), especially behind-the-meter solar or edge devices grid. This paper provides detailed information on End-to-end Solar Energy Optimization Platform (ESEOP), including internal communication architecture, a visualization dashboard. ESEOP acts as centralized platform communicate control mitigate adverse impacts. The design aims bridge gap between utility enterprise...