A5100358955- Software Reliability and Analysis Research
- Sustainable Supply Chain Management
- Reliability and Maintenance Optimization
- Recycling and Waste Management Techniques
- Environmental Sustainability in Business
- Extraction and Separation Processes
- Software Engineering Research
- Supply Chain and Inventory Management
- Air Quality and Health Impacts
- Toxic Organic Pollutants Impact
- Vehicle emissions and performance
- Statistical Distribution Estimation and Applications
- Corporate Law and Human Rights
- Conservation, Biodiversity, and Resource Management
- Microplastics and Plastic Pollution
- Environmental Impact and Sustainability
- Pharmaceutical and Antibiotic Environmental Impacts
- Economic Growth and Productivity
- Economics of Agriculture and Food Markets
- Pesticide and Herbicide Environmental Studies
- Neural Networks Stability and Synchronization
- Risk and Safety Analysis
- Green IT and Sustainability
- Technology Adoption and User Behaviour
- Financial Distress and Bankruptcy Prediction
Weifang Medical University
2025
Shenyang Agricultural University
2024
Beijing Technology and Business University
2024
Zhejiang University of Technology
2006-2023
The Supreme People's Procuratorate of the People's Republic of China
2022-2023
Chongqing Technology and Business University
2023
Jiangsu Institute of Metrology
2022
Jinan University
2017-2022
Shanghai Institute for Science of Science
2022
Institute of Subtropical Agriculture
2022
Software reliability growth models (SRGMs) have been developed to estimate software measures such as the number of remaining faults, failure rate, and reliability. Issues imperfect debugging learning phenomenon developers considered in these models. However, most SRGMs assume that faults detected during tests will eventually be removed. Consideration fault removal efficiency existing is limited. In practice, usually imperfect. This paper aims incorporate into assessment. Fault a useful...
In this paper, software reliability models based on a nonhomogeneous Poisson process (NHPP) are summarized. A new model NHPP is presented. All applied to two widely used data sets. It can be shown that for the failure here, fits and predicts much better than existing models. program written, using Excel & Visual Basic, which facilitate task of obtaining estimators parameters.
Abstract The predictive and interpretable power of models is crucial for financial risk management. purpose this study was to perform credit prediction in a structured causal network with four stages—data processing, structural learning, parameter interpretation inferences—and use six real datasets conduct empirical research on the proposed model. Compared traditional machine learning algorithms, we comprehensively explain results default through forward reverse reasoning. We also compared...
Considering the opening up of carbon emission trading market, this article investigates government's role in allocating appropriate quota to maximize social members' (including enterprises and customers) utilities analyzes how emission‐dependent enterprise improves revenues both itself whole system through supply chain collaboration. Within this, a two‐echelon consisting one manufacturer retailer is discussed. Taking revenue‐sharing contract into account combining practical situations with...
The huge amount of waste electrical and electronic equipment (WEEE) has aroused global concern with its importance environmental performance for resources reutilization being recognized. incomplete collection management system is required to be improved a more orderly recycling way. Based on the public survey, field research information search Internet, we present existing framework problems WEEE in China, according which four innovative modes are put forward: (i) Unified channels mode; (ii)...
Abstract Software failures have become the major factor that brings system down or causes a degradation in quality of service. For many applications, estimating software failure rate from user's perspective helps development team evaluate reliability and determine release time properly. Traditionally, growth models are applied to test data with hope field. Given aggressive nature by which is exercised during test, as well unavoidable differences between environment field environment,...
Exposures to particulate matter (PM) of both 10−2.5 μm (PM10−2.5) and below 2.5 (PM2.5) were measured for a cohort taxi drivers in Shenyang, China, during August 2007. PM samples collected inside outside the drivers' workshifts, also homes when they off-shift. Ambient at stationary location Shenyang. Elemental carbon (EC) organic (OC) on quartz filters taxis as well site. Concentrations three nitro-polycyclic aromatic hydrocarbons (NPAHs), 1-nitropyrene (1NP), 2-nitropyrene (2NP),...
The formulation and implementation of effective coordination strategy among members is key to promote sustainable development Green Supply Chain (GSC). Combining with the specific situation, this paper establishes product utility diversity model supply chain revenue based on custom market demand caused by green products' diversity, examines between manufactures its upstream suppliers under Stackelberg game cooperative decision-making respectively, resulting two pricing strategies as well...
The Golden Kaiser-I-Hind (Teinopalpus aureus Mell, 1923) is the only butterfly among Class I national protected animals in China and known as butterfly. In this study, by accurately predicting suitable habitat under current future climate scenarios, potential distribution area of T. was defined, providing a theoretical basis for conservation management. Based on species records, we utilized Biomod2 platform to combine data from BCC-CSM2-MR model, shared socio-economic pathways, altitude...
Arhopalus rusticus is a significant forestry pest known for its destructive impact on various host plants. This species, commonly found in coniferous forests across the Northern Hemisphere, has successfully spread to regions like New Zealand, Australia, and South America. research based distribution sites of A. rusticus. Projections are made potential global under historical climatic conditions (1970–2000) future (2081–2100) four forcing scenarios Coupled Model International Comparison...
Airborne particulates were collected in three size fractions by using Anderson low-volume air samplers Shenyang, China, winter and summer 2007. Compared with data obtained 2001 at the same sites, total concentrations of nine polycyclic aromatic hydrocarbons (PAHs) decreased 67% one site 40% other site, while four nitropolycyclic (NPAHs) did not decrease. This suggests that environmental countermeasures begun effective decreasing concentration PAHs. However, summer, PAHs NPAHs rose factors 4...