A5046819127- Economic Growth and Development
- Anomaly Detection Techniques and Applications
- Innovation and Socioeconomic Development
- Knowledge Management and Sharing
- Digital Imaging for Blood Diseases
- Innovation Diffusion and Forecasting
- Context-Aware Activity Recognition Systems
- Financial Literacy, Pension, Retirement Analysis
- Advanced Chemical Sensor Technologies
- Entrepreneurship Studies and Influences
- Complex Systems and Time Series Analysis
- Technology and Security Systems
- Microfinance and Financial Inclusion
- Smart Agriculture and AI
- Software System Performance and Reliability
- ICT Impact and Policies
- Video Surveillance and Tracking Methods
- Network Security and Intrusion Detection
- Air Quality Monitoring and Forecasting
- Income, Poverty, and Inequality
- Misinformation and Its Impacts
- Rural development and sustainability
- Data Stream Mining Techniques
- E-commerce and Technology Innovations
- Mosquito-borne diseases and control
Central University of Finance and Economics
2021-2024
University of Toronto
2024
Beijing Wuzi University
2024
Dalian University of Technology
2020
College of Business Administration
2013
University of Business and Technology
2013
Harbin University
2013
We propose a cotton pest and disease recognition method, SpemNet, based on efficient multi-scale attention stacking patch embedding. By introducing the SPE module EMA module, we successfully solve problems of local feature learning difficulty insufficient integration in traditional Vision Transformer model, which significantly improve performance efficiency model. In our experiments, comprehensively validate SpemNet model CottonInsect dataset, results show that performs well task, with...
Introduction Farmer entrepreneurs, as hybrid actors bridging urban capital and rural identity, play a vital role in promoting sustainable development by addressing hollowing urban-rural disparities. Understanding the factors influencing their return migration decisions is therefore crucial. Methods This study investigates multidimensional determinants shaping intentions among farmer entrepreneurs using survey data from 1,573 individuals Jintang County, China. The were analyzed through...
This paper examines the effect of internet use on household financial market participation and its underlying mechanism. Using data from 2018 China Family Panel Studies (CFPS), we find that households with are 4.7% more likely to participate in investments than those without. The finding remains robust after accounting for endogeneity concerns using instrumental variables approach a fresh double machine learning approach. We highlight phenomenon 'digital divide' positive effects making...
Purpose The originality of the crowd cyber system lies in fact that it possesses intelligence multiple groups including people, objects and machines. However, quantitative analysis level is not sufficient, due to many limitations, such as unclear definition inconformity human quotient (IQ) test artificial assessment methods. This paper aims propose a new measurement framework from harmony adaption practice measure network. Design/methodology/approach authors draw on ideas traditional...
The recent trend in multiple object tracking (MOT) is heading towards leveraging deep learning to boost the performance. In this paper, we propose a novel solution named TransSTAM, which leverages Transformer effectively model both appearance features of each and spatial-temporal relationships among objects. TransSTAM consists two major parts: (1) encoder utilizes powerful self-attention mechanism learn discriminative for tracklet; (2) decoder adopts standard cross-attention affinities...
This paper examines the impact of globalization on inequality levels using data from World Income Inequality Database (WIID) and Penn Table. We find that effect trade is an inverted U-shaped relation, a result remains robust to endogeneity concerns. The results heterogeneity analysis suggest developed countries would benefit more globalization, while further increase level in low-income developing countries. In addition, we take effects 2008 economic crisis into account our model. will...
This paper examines the implication of peer effect ESG performance among firms that share similar technologies. Employing a classic measure technological links between firms, we find persistent with shared Mechanism analyses document alleviating agency issues is crucial mechanism this effect. Specifically, technology-linked enhances green awareness and mitigates myopia focal firm’s management. Moreover, significantly stronger when are subject to stricter external societal oversight.
This paper examines the implication of peer effect ESG performance among firms that share similar technologies. Employing a classic measure technological links between firms, we find persistent with shared Mechanism analyses document alleviating agency issues is crucial mechanism this effect. Specifically, technology-linked enhances green awareness and mitigates myopia focal firm’s management. Moreover, significantly stronger when are subject to stricter external societal oversight.
Digital technologies represented by the Internet have influenced micro-economic agents' cognitive decisions. We review effects of on cognitions and decisions microeconomic agents systematically. For individuals, has reshaped their cognition with information shock, "Google effect," social networks. Individual depend personal cognitions; hence we further clarify impact individual behavior decisions, such as fertility house purchasing financial investment enterprises, consider Big Data-assisted...