A5009935839- Solar and Space Plasma Dynamics
- Impact of Light on Environment and Health
- Distributed and Parallel Computing Systems
- Solar Radiation and Photovoltaics
- Vehicle emissions and performance
- Advanced Data Storage Technologies
- Civil and Geotechnical Engineering Research
- Stellar, planetary, and galactic studies
- Cloud Computing and Resource Management
- Geotechnical Engineering and Underground Structures
- Geophysics and Gravity Measurements
- Additive Manufacturing Materials and Processes
- Parallel Computing and Optimization Techniques
- Scientific Computing and Data Management
- Radio Astronomy Observations and Technology
- Traffic and Road Safety
- Geomechanics and Mining Engineering
- Advanced Neural Network Applications
- Simulation and Modeling Applications
- Safety Warnings and Signage
- Additive Manufacturing and 3D Printing Technologies
- Geotechnical Engineering and Analysis
- Historical Astronomy and Related Studies
- Advanced Vision and Imaging
- Advanced Measurement and Detection Methods
Chongqing Jiaotong University
2012-2024
Kunming University of Science and Technology
2015-2024
Institute of Computing Technology
2024
China Academy of Railway Sciences
2024
State Grid Corporation of China (China)
2024
Southwest University of Science and Technology
2021-2024
Chinese Academy of Sciences
2007-2024
Tianjin University
2024
University of Science and Technology of China
2024
Institute of Solid State Physics
2024
Purpose Theory of planned behavior (TPB) has been used to study the impact entrepreneurial education (EE) on intention (EI) for more than 20 years, yet an intensive literature review reveals that there are gaps in both conceptual models and research methods. The purpose this paper is investigate EE EI with a view address previous research. Design/methodology/approach This proposes model links entire antecedent variables TPB elaborated four components entrepreneurship (Why, What, How, Who)....
Kagome lattices of various transition metals are versatile platforms for achieving anomalous Hall effects, unconventional charge-density wave orders and quantum spin liquid phenomena due to the strong correlations, spin-orbit coupling and/or magnetic interactions involved in such a lattice. Here, we use laser-based angle-resolved photoemission spectroscopy combination with density functional theory calculations investigate electronic structure newly discovered kagome superconductor CsTi3Bi5,...
Abstract To measure stomatal traits automatically and nondestructively, a new method for detecting stomata extracting was proposed. Two portable microscopes with different resolutions (TipScope 40× lens attached to smartphone ProScope HR2 400× lens) are used acquire images of living in maize leaves. FPN model detect the TipScope number density. Faster RCNN opening closing images, measured. An improved CV segment pores stomata, total 6 pore were Compared manual measurements, square...
Abstract Solar activities lead to Sun variation with an 11 yr periodicity. The periodic affects space weather and heliophysics research. So it is important accurately predict solar cycle variations. In this paper, we predicted the ongoing Cycle 25 using neural basis expansion analysis for interpretable time series deep learning method. 13 months of smoothed monthly total sunspot numbers taken by Index Long-term Observations are selected train evaluate our model. We used root mean square...
Abstract Solar flares are one of the most intense solar activities, result a sudden large-scale release magnetic energy in form electromagnetic radiation and energetic particles. Intense can severely threaten communication navigation systems, oil pipelines, power grids on Earth. Therefore, it is crucial to establish highly accurate flare prediction models enable humans anticipate eruptions advance, thereby reducing human economic losses. In this paper, we utilized active region (AR)...
This paper compares the specific performance of Markowitz’s mean-variance model and quadratic programming optimization in different economic periods by means empirical analysis. The analyzes return risk assessment (including expansion, stabilization, recession, recovery periods) introducing various measurement tools, such as lower semi variance, value-at-risk (VaR), conditional (CVaR). results comparative analysis show that is more effective controlling extreme risks outperforms during high...
The maculopathy in highly myopic eyes is complex. Its clinical diagnosis a huge workload and subjective. To simply quickly classify pathologic myopia (PM), deep learning algorithm was developed assessed to screen lesions based on color fundus photographs.This study included 10,347 ocular photographs from 7606 participants. Of these photographs, 8210 were used for training validation, 2137 external testing. A trained, validated, externally tested which classified into four categories: normal...
In-depth understanding of the layer-by-layer process is critical for quality control additive manufactured (AM) components. Besides development experimental techniques, computational modelling another important way to study AM mechanisms in detail. However, currently there still lack a platform that integrates all necessary physics involved process. In present study, we develop framework phase field method microstructure evolution, lattice Boltzmann melt pool dynamics, modified ray-tracing...
Biological burrowing behavior is an important driver shaping ecosystems that being threatened by CO2-induced ocean acidification; however, the effects of acidification on and its neurological mechanism remain unclear. This study showed elevated pCO2 significantly affected behaviors Manila clam Ruditapes philippinarum, such as increased foot contraction, time, intrabottom movement decreased depth. Delving deeper into mechanism, exposure to extracellular pH [HCO3–]. Moreover, indicator GABAA...
Studying the universe through radio telescope observation is crucial. However, telescopes capture not only signals from but also various interfering signals, known as Radio Frequency Interference (RFI). The presence of RFI can significantly impact data analysis. Ensuring accuracy, reliability, and scientific integrity research findings by detecting mitigating or eliminating in observational data, presents a persistent challenge astronomy. In this study, we proposed novel deep learning model...
In order to obtain high-performance aluminum alloy parts fabricated by selective laser melting, this paper investigates the relationship between process parameters and microstructure properties of AlSi10Mg. The appropriate are obtained: layer thickness is 0.03 mm, power 370 W, scanning speed 1454 mm/s, hatch spacing 0.16 mm. With these parameters, ultimate tensile strength as-printed status 500.7 ± 0.8 MPa, yield 311.5 5.9 elongation 7.7 0.5%, relative density 99.94%. After annealing...