A5078071211- Laser-Plasma Interactions and Diagnostics
- Computational Fluid Dynamics and Aerodynamics
- Evaluation Methods in Various Fields
- Advanced Computational Techniques and Applications
- Face and Expression Recognition
- High-pressure geophysics and materials
- AI in cancer detection
- Metabolism, Diabetes, and Cancer
- Combustion and Detonation Processes
- Toxic Organic Pollutants Impact
- Pancreatic function and diabetes
- Image Retrieval and Classification Techniques
- Laser-Matter Interactions and Applications
- Energy Load and Power Forecasting
- Corporate Finance and Governance
- Peer-to-Peer Network Technologies
- Labor Market and Education
- Forensic Anthropology and Bioarchaeology Studies
- Biochemical and Structural Characterization
- Gait Recognition and Analysis
- Financial Distress and Bankruptcy Prediction
- Urban Stormwater Management Solutions
- Image and Object Detection Techniques
- Endoplasmic Reticulum Stress and Disease
- Caching and Content Delivery
Xi'an University of Architecture and Technology
2012-2025
Northwest University of Politics and Law
2024
China Rehabilitation Research Center
2023
Capital Medical University
2023
Anhui University of Technology
2022
Jiangnan University
2020
University of Science and Technology of China
2012-2017
University of Louisville
2011-2013
Northwestern Polytechnical University
2006-2010
Abstract The interaction of a planar shock wave with polygonal $\def \xmlpi #1{}\def \mathsfbi #1{\boldsymbol {\mathsf {#1}}}\let \le =\leqslant \let \leq \ge =\geqslant \geq \def \Pr {\mathit {Pr}}\def \Fr {Fr}}\def \Rey {Re}}{\mathrm{N}}_2$ volume surrounded by ${\mathrm{SF}}_6$ is investigated experimentally and numerically. Three interfaces (square, triangle diamond) are formed the soap film technique developed in our previous work, which thin pins introduced as angular vertexes to...
The interaction of a planar shock wave ( $M\approx 1.2$ ) with an $\text{SF}_{6}$ polygonal inhomogeneity surrounded by air is experimentally investigated. Six polygons including square, two types rectangle, triangle, and diamond are generated the soap film technique developed in our previous work, which thin pins used as angular vertexes to avoid pressure singularities caused surface tension. evolutions shock-accelerated captured high-speed schlieren system from systems interface...
Abstract Enterprise credit risk prediction is to predict whether enterprises will default in the future, according a variety of historical data by establishing corresponding relationship between operating conditions and status. To improve accuracy listed real estate effectively reduce difficulty government management, we propose an attention‐based CNN‐BiLSTM hybrid neural network enhanced with features results logistic regression, constructs index system from five characteristic dimensions:...
A novel semi-annular shock tube is realized by combining the advantageous features of two types existing facilities for generating cylindrically converging waves. high-speed schlieren photography used to acquire variation positions versus time and evolution a single-mode gaseous interface subjected cylindrical shock. The first experimental results indicate that configuration brings great convenience formation flow visualization, new facility has potential Richtmyer-Meshkov instability studies.
Insulin signaling is essential for -cell survival and proliferation in vivo. also has potent mitogenic anti-apoptotic actions on cultured -cells, with maximum effect the high picomolar range diminishing at nanomolar doses. In order to understand whether these effects of insulin are constitutive or can be subjected physiological modulation, it estimate extracellular concentration monomeric within an intact islet. Unfortunately, vivo monomers islet cannot measured directly current technology....
Abstract Online learner behaviour patterns are comprehensive indicators reflecting the learning status and outcomes of online learners, which have a guiding role in design, implementation improvement education post-epidemic era, but methods for their identification still need to be improved. To improve accuracy identification, model based on improved long short-term memory networks with deep is established. Firstly, characteristics extracted according behavioural science theory, secondly,...
This paper introduces a novel coupling method to enhance the precision of short- and medium-term renewable energy power load demand forecasting. Firstly, Tent chaotic mapping incorporates standard WOA modifies its internal convergence factor nonlinear mode, resulting in an improved IWOA. It is used for weight optimization part BILSTM. Then, SA introduced optimize learning rate, number nodes hidden layers 1 2, iterations BILSTM, constructing IWOA-SA-BILSTM prediction model. Finally, through...
In this paper we discuss a new approach for the detection of clustered microcalcifications (MCs) in mammograms. MCs are an important early sign breast cancer women. Their accurate is key issue computer aided scheme. To improve performance detection, propose Bagging and Boosting based twin support vector machine (BB-TWSVM) to detect MCs. The algorithm composed three modules: image pro-processing, feature extraction component BB-TWSVM module. ground truth mammograms assumed be known as priori....
Metabolic engineering is a key technology for cell factories construction by rewiring cellular resources to achieve efficient production of target chemicals. However, the existence bottlenecks in synthetic pathway can seriously affect efficiency, which also one core issues metabolic engineers solve. Therefore, developing an approach diagnosing potential faster and simpler manner great significance accelerate construction. The cell-free reaction system based on lysates transfer reactions from...
To improve the performance of microcalcification clusters (MCs) detection, we present an approach to detect MCs in mammograms by casting detection problem as finding sparse representations test samples with respect training samples. The ground truth are assumed be known a priori. representation is computed l 1 -regularized least square using interior-point method. new method based on expresses each testing sample linear combination all coefficient vector obtained through learning....
In the era of big data, higher-level governments usually use digital technology to monitor and quantify policy implementation grass-roots in real time through indicators. case fulfilling tasks objectives higher government on time, quantity unconditionally, is burdened with a huge burden, exposing formalistic behaviors such as coping tournaments. Taking “Rectification land map spots” an example, this paper describes formalism township from two aspects behavior tournament explores reasons...
Abstract The sports characteristics of E-bikes increase the conflict between traffic participants. In this paper, criteria E-bike are given according to time distance. Based on rough set theory, redundant rule reduction method is developed, and following conclusions drawn: 1. Signal lights video monitoring points have little effect alleviating e-vehicles motor vehicles; 2. Setting isolation facilities, non-motor vehicle lanes police can effectively reduce conflict. results show that analyse...
Most river basin administrative departments have not established their own emergency response systems. So, a nationwide water pollution system was designed for them and relevant government which is based on GIS, web, DSS, visualization, simulation, etc.
We present an approach to detect MCs in mammograms by casting the detection problem as finding sparse representations of test samples with respect training samples. The ground truth are assumed be known a priori. From these interest object class, vocabulary information-rich parts is automatically constructed. representation computed l1-regularized least square using interior-point method. method based on expresses each testing sample linear combination all samplesfrom vocabulary. coefficient...