A5103249813- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- Rough Sets and Fuzzy Logic
- Sustainable Supply Chain Management
- Supply Chain and Inventory Management
- Advanced Computational Techniques and Applications
- Multi-Criteria Decision Making
- Maritime Ports and Logistics
- Forecasting Techniques and Applications
- Diverse Aspects of Tourism Research
- Supply Chain Resilience and Risk Management
- Stock Market Forecasting Methods
- Energy Load and Power Forecasting
- Grey System Theory Applications
- Nuclear reactor physics and engineering
- Quality and Supply Management
- Consumer Market Behavior and Pricing
- Nuclear physics research studies
- Advanced Algorithms and Applications
- Reservoir Engineering and Simulation Methods
- Transportation Planning and Optimization
- Digital Marketing and Social Media
- Data Mining Algorithms and Applications
- Economic theories and models
Beijing Technology and Business University
2023-2025
Institute of Modern Physics
2021-2024
Chinese Academy of Sciences
2014-2024
Shandong University of Science and Technology
2024
Shandong Academy of Environmental Science
2024
Mianyang City Center for Disease Control and Prevention
2024
Central China Normal University
2024
Argonne National Laboratory
2024
Frankfurt Institute for Advanced Studies
2024
Creighton University
2024
Abstract We present pion and kaon parton distribution functions from a global QCD analysis of the experimental data within framework dynamical model. use DGLAP equations with parton–parton recombination corrections valence input uniform which maximizes information entropy. At our scale $$Q_0^2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mi>Q</mml:mi> <mml:mn>0</mml:mn> <mml:mn>2</mml:mn> </mml:msubsup> </mml:math> , there are no sea quark gluon...
Evolution of SARS-CoV-2 variants emphasizes the need for multivalent vaccines capable simultaneously targeting multiple strains. SCTV01E is a tetravalent COVID-19 vaccine derived from spike protein Alpha, Beta, Delta, and Omicron BA.1. In this double-blinded placebo-controlled pivotal efficacy trial (NCT05308576), primary endpoint was (VE) against seven days post-vaccination in individuals without recent infection. Other endpoints included evaluating safety, immunogenicity, VE all infections...
Search query data (SQD) can be helpful in predicting tourism demand by generating web search indexes. However, valuable nonlinear information SQD may neglected researchers. To effectively capture the information, we used kernel principal component analysis (KPCA) to extract indexes from SQD. Then, several models with KPCA-based were developed for forecasting. An empirical study was conducted collected and real of tourist arrivals at Hong Kong. The results suggest that are more accurate than...
In this paper, we investigate the selection of cleaner products withthe consideration tradeoff between risk and return playersin two different supply chain structures: a vertically integrated structure adecentralized setting. an chain, price ofcleaner is decided according to maximum utility for thewhole while retailer offers their with respectto own in decentralized Anumerical example green household electricalappliances China presented illustrate related issues.Finally, conclusions are...
To improve predictive accuracy, new hybrid models are proposed for container throughput forecasting based on wavelet transforms and data characteristic analysis (DCA) within a decomposition-ensemble methodology. Because of the complexity nonlinearity time series throughputs at ports, methodology decomposes original into several components, which rather simpler sub-sequences. Consequently, difficult tasks simplified number relatively easier subtasks. In this way, can accuracy significantly....
This paper proposes a novel ensemble learning approach based on logistic regression (LR) and artificial intelligence tool, that is, support vector machine (SVM) back-propagation neural networks (BPNN), for corporate financial distress forecasting in fashion textiles supply chains. Firstly, related concepts of LR, SVM, BPNN are introduced. Then, the results by LR introduced into SVM techniques which can recognize errors fitness LR. Moreover, empirical analysis Chinese listed companies textile...
We first analyze quality and price decisions in a supply chain with two Stackelberg games: Manufacturer’s (MS) Supplier’s (SS). Then, we investigate how equilibrium solutions are influenced by proposed improvement policies: coordination manufacturer’s involvement. Also, derive the conditions under which policies can be implemented both MS SS strategies. Numerical experiments illustrate problems several related issues discussed. The results suggest that realize Pareto for performance.