A5102850404- Stock Market Forecasting Methods
- Web Data Mining and Analysis
- Financial Risk and Volatility Modeling
- Environmental Impact and Sustainability
- Monetary Policy and Economic Impact
- Inflammation biomarkers and pathways
- Advanced Computational Techniques and Applications
- Autophagy in Disease and Therapy
- Advanced Wireless Communication Techniques
- Advanced Bandit Algorithms Research
- Financial Markets and Investment Strategies
- Error Correcting Code Techniques
- Market Dynamics and Volatility
- Fiscal Policy and Economic Growth
- Complex Network Analysis Techniques
- Advanced Glycation End Products research
- Technology and Data Analysis
- Advanced Technologies in Various Fields
- Web Applications and Data Management
- Drug Transport and Resistance Mechanisms
- Cytokine Signaling Pathways and Interactions
- Land Use and Ecosystem Services
- Text and Document Classification Technologies
- Technology and Security Systems
- Social Capital and Networks
Northwest A&F University
2023
Xuzhou Medical College
2023
Wuhan University
2020-2023
Renmin Hospital of Wuhan University
2020-2023
China Southern Power Grid (China)
2023
Honghu People’s Hospital
2023
Anhui University of Finance and Economics
2007-2022
University of Liverpool
2021
Linyi People's Hospital
2019-2020
Jinan University
2009-2015
Abstract Background Sepsis-induced acute lung injury (ALI) is associated with poor survival rates. The identification of potential therapeutic targets for preventing sepsis-induced ALI has clinical importance. This study aims to investigate the role estrogen-related receptor alpha (ERRα) in ALI. Methods Lipopolysaccharide (LPS) was used simulate model rat pulmonary microvascular endothelial cells (PMVECs). effects ERRα overexpression and knockdown on LPS-induced permeability, apoptosis...
Inflammation and oxidative stress are critical pathologies that contribute to sepsis-induced acute lung injury (ALI). This study investigated the regulatory role of estrogen-related receptor alpha (ERR α ) in an experimental model ALI. In vivo , a cecal ligation puncture- (CLP-) induced ALI was established anesthetized rats. Animals were then randomly assigned receive intraperitoneal injection vehicle or ERR inverse agonist (XCT-790, 2.5 mg/kg). Administration XCT-790 significantly...
Microblog is one of the most popular online social networking service, which has tremendous growth all over world in recent years. As first microblogging site and influential media platform, Twitter been well documented. Nowadays, number Internet user China take place world, however Chinese service Sina Weibo not studied. In this paper, we make a comprehensive comparison order to identify similarities differences between them. comparable with Twitter, both are worthy further study.
Internet is becoming a spreading platform for the public opinion. It important to grasp opinion in time and understand trends of their correctly. Text classification plays fundamental role number information management retrieval tasks. But Web-page much more difficult than pure-text due large variety noisy embedded Web pages. In this paper, we propose system scheme analysis (IPO). We apply through summarization extract most relevant content from pages then pass them standard text algorithms...
Mobile learning is one of the most important e-Learning models, with development technology, cloud computing provides a new idea for mobile learning. After analyzing and various advantages it got from computing, paper introduces cloud-computing-based system model, in order to promote
The precise fault localization holds significant importance in reducing power outage duration and frequency systems. widespread application of synchrophasor measurement technology (PMU) has laid the foundation for achieving accurate distribution networks. However, methods based on PMU often suffer from a decrease accuracy due to topological reconstruction inaccurate parameters. To address these challenges, this paper proposes location method networks Multi-head Graph Attention Networks...
With the improvement of computer performance and development GPU-accelerated technology, trading with machine learning algorithms has attracted attention many researchers practitioners. In this research, we propose a novel portfolio management strategy based on framework Deep Deterministic Policy Gradient, policy-based reinforcement framework, compare its to that other strategies. our two Long Short-Term Memory neural networks fully connected are constructed. We also investigate without...
This article aims at the evaluation and improvement of development higher education. First all, according to theory hypothesis, comprehensive index system education level is established. The TOPSIS combination weighting method based on goal programming are used measure scores levels 19 major countries in world recent 20 years, horizontal vertical comparative analysis carried out. Then, practical feasibility, Turkey selected as target country propose a policy by 2030, causal effect our...
In view of the impact digital life on residents’ trust, firstly, based data China Household Finance Survey (CHFS), this paper analyzes change trust in era flooding. Through basic research and marginal effect analysis, it is found that enhances trust. Secondly, robustness conclusion confirmed by constructing a series models such as ordered probit instrumental variable (IV-O probit), propensity score matching method (PSM-O Heckman (O-probit-Heckman). Finally, through mechanism test, concluded...
XML, the Extensible Markup Language, had become an important tool for both storage and exchange of data.As applied areas XML been widen gradually, security problems became a main concern.Hence, study access control using topic nowadays.In this paper, we would first made brief introduction some requirements be included.After that, give detail presentation model point out most significant feature it.Finally, analyzed direction difficulty in then illustrate practical significance study.
This paper proposes a two-component realized exponential generalized autoregressive conditional heteroscedasticity (EGARCH) model – an extension of the EGARCH for joint modeling asset returns and measures volatility. The proposed assumes that volatility consists two components: long-run component short-run component. model’s unique ability to capture long-memory property distinguishes it from standard model. is convenient implement within framework maximum likelihood estimation. We apply...
XML, the Extensible Markup Language, had become an important tool for both storage and exchange of data. In this paper, we would first made a brief introduction access control using some requirements XML be included. Finally, analyzed direction difficulty in study then illustrate practical significance study.
Low-density parity-check (LDPC) codes are forward error-correction and linear block codes. An LDPC code can be described by a bipartite graph called Tanner graph(1). Loops, especially short loops in tanner graph, degrade the performance of decoder, because they affect independence extrinsic information exchanged iterative decoding. In this paper, based on theory loop structure studied carefully, new notion, cut-node tree, is proposed to describe Cut-node tree has full graph. So all features...
The current conventional iterative cleaning method for multi-source heterogeneous data mainly calculates the repetition to achieve redundant rejection, which leads poor effect due lack of parsimonious processing data. In this regard, an based on decision tree algorithm is proposed in By calculating information gain value data, and using highest as classification criterion, a constructed realize classification. And deep belief network model extract mixture features, finally iteratively...
The traditional energy-saving and load matching strategies for distribution networks have the problem of low accuracy in predicting capacity power equipment. Therefore, a new intelligent energy strategy is proposed, which uses deep learning algorithms K-means clustering to process standardize data, extract data features, construct prediction model storage devices networks. By finetuning structure network, condition device predicted, dynamic source achieved. Experimental verification shows...
Abstract Although China's agriculture and food sectors have contributed to human health security, they also significantly impacted the environment. As a major apple-producing country globally, compared with standardized orchards in other countries, smaller production scale, lower degree of standardization, higher differentiation, which increases difficulty agricultural environmental governance. Based on national conditions small-scale farmers China, this study comprehensively evaluated...