A5100680862- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Machine Fault Diagnosis Techniques
- Manufacturing Process and Optimization
- Youth Development and Social Support
- Assembly Line Balancing Optimization
- Engineering Diagnostics and Reliability
- Gear and Bearing Dynamics Analysis
- Early Childhood Education and Development
- Motivation and Self-Concept in Sports
- Digital Transformation in Industry
- Evaluation Methods in Various Fields
- Fault Detection and Control Systems
- Simulation and Modeling Applications
- Metaheuristic Optimization Algorithms Research
- Sustainable Supply Chain Management
- Advanced Algorithms and Applications
- Evaluation and Optimization Models
- Traffic Prediction and Management Techniques
- Advanced Measurement and Detection Methods
- Bullying, Victimization, and Aggression
- Color perception and design
- Advanced Control Systems Optimization
- Advanced Decision-Making Techniques
- Service-Oriented Architecture and Web Services
Wuhan University of Technology
2015-2024
Beijing Forestry University
2022-2023
China Aerospace Science and Industry Corporation (China)
2023
Hubei University of Technology
2023
Hengdian Group DMEGC Magnetics (China)
2022
Yunnan University
2021
Harbin Engineering University
2010-2020
American Institutes for Research
2011-2014
Ningxia Water Conservancy
2013
Tufts University
2007-2011
Using longitudinal data from the 4-H Study of Positive Youth Development, authors assessed 1,977 adolescents across Grades 5 to 8 determine if there were distinctive developmental paths for behavioral and emotional school engagement; these varied in relation sex, race/ethnicity, family socioeconomic status (SES); whether links existed between trajectories engagement grades, depression, substance use, delinquency. Four four identified using a semiparametric mixture model. These distinct with...
The authors used data from Grades 5 through 7 of the longitudinal 4-H Study Positive Youth Development to assess relations among sports participation, other out-of-school-time (OST) activities, and indicators youth development. They a mixture variable- pattern-centered analyses aimed at disentangling different features participation (i.e., intensity, breadth). benefits were found depend, in part, on specific combinations multiple activities which youths participated along with sports. In...
Using data from 1,676 youth who participated in three waves (Grades 6 to 8) of the longitudinal, 4-H Study Positive Youth Development, we tested two series hierarchal linear models examine role peer support, associating with ‘‘problem-behaving’’ friends, and bullying involvement development behavioral emotional school engagement during early adolescence. Results indicated support positively predicted engagement, whereas problem-behaving friends were negatively associated both aspects...
The traditional intelligent diagnosis methods of rotating machinery generally require feature extraction the raw signals in advance. However, it is a very time-consuming and laborious process for extracting sensitive information to improve classification performance. Deep learning method, as novel machine approach, can simultaneously achieve pattern classification. With characteristics Belief Network (DBN) one-dimensional Convolutional Neural (1D-CNN) (e.g. complex nonlinear, sparse...
Abstract The bearing is the core component of mechanical equipment, and attention has been paid to its health monitoring fault diagnosis. Bearing diagnosis technology based on deep learning widely developed because powerful feature classification ability. However, traditional learning-based methods fail in mining relationship between signals explicitly, which beneficial classification. Therefore, this paper proposes a new method multi-head graph network (MHGAT) for Firstly, it employs...
Disassembly line balancing (DLB) is used for efficient task planning of large-scale end-of-life products, which a key issue to realize resource recycling and reuse. Robot disassembly U-shaped station layout can effectively improve efficiency. To accurately characterize the problem, mixed-integer linear programming model robotic DLB proposed. The aim minimize cycle time shorten offline product. Since there are many dynamic disturbances in actual line, traditional optimization methods suitable...
The present study was designed to examine the association of positive youth development with likelihood tobacco, alcohol, marijuana, hard drug, and sex initiation between 5th 10th grades. A national, largely middle-class sample 5,305 adolescents, participating in a longitudinal funded by National 4-H Council (although not all participants were enrolled or other after-school programs), completed measures (PYD) constructs drug use once per year At 9th grade assessments, adolescents asked...