A5022948317- HIV, Drug Use, Sexual Risk
- Seismic Imaging and Inversion Techniques
- Substance Abuse Treatment and Outcomes
- Effects of Environmental Stressors on Livestock
- HIV/AIDS Research and Interventions
- Food Supply Chain Traceability
- Ideological and Political Education
- Seismology and Earthquake Studies
- Drilling and Well Engineering
- Genetic and phenotypic traits in livestock
- Animal Behavior and Welfare Studies
- HIV Research and Treatment
- Seismic Waves and Analysis
- Innovative Educational Techniques
- Mental Health Treatment and Access
- Image Retrieval and Classification Techniques
- Cancer Research and Treatments
- Advanced Computational Techniques and Applications
- Opioid Use Disorder Treatment
- Homelessness and Social Issues
- Ruminant Nutrition and Digestive Physiology
- Higher Education and Teaching Methods
- Hydraulic Fracturing and Reservoir Analysis
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
Xi'an Jiaotong University
2013-2024
Northeast Agricultural University
2009-2024
Harbin Institute of Technology
2024
Territoires
2020-2023
Guangzhou University
2020-2023
Xian Center for Disease Control and Prevention
2010-2019
First Affiliated Hospital of Jiamusi University
2010-2018
Shanghai University of Engineering Science
2017
Shanghai University
2017
Centers for Disease Control and Prevention
2014
Dairy cow behavior carries important health information. Timely and accurate detection of behaviors such as drinking, feeding, lying, standing is meaningful for monitoring individual cows herd management. In this study, a model called Res-DenseYOLO proposed accurately detecting the dairy living in cowsheds. Specifically, dense module was integrated into backbone network YOLOv5 to strengthen feature extraction actual cowshed environments. A CoordAtt attention mechanism SioU loss function were...
Ingestive-related behaviors including feeding and ruminating are important indexes to measure the health welfare of dairy cows. The purpose this study is develop a method based on triaxial acceleration automatically recognize During experiment, five diary cows raised in barn were used as experimental subjects. A sensor was device collect jaw-movement data cows, classified into three categories: feeding, other behavior. features time-domain frequency-domain extracted from raw data. Three...
Objective: To explore the quality of life (QOL) changes in methadone maintenance treatment (MMT) clinic outpatients first 3 months treatment. Methods: A cohort study was conducted 5 MMT clinics for more than months, and QOL measured by instrument drug addicts at days 1, 30, 90 to changes. Repeated measurement analysis method used data analysis. Results: One hundred seventy-two were recruited, 142 (82.65%) remained day 90. The Cronbach α coefficient our is 0.96, with a range 0.74-0.94 all...
Multi-focus image fusion (MFF) is a fundamental task in the field of computational photography. Current methods have achieved significant performance improvement. It found that current are evaluated on simulated sets or Lytro dataset. Recently, growing number researchers pay attention to defocus spread effect, phenomenon real-world multi-focus images. Nonetheless, effect not obvious datasets, where popular perform very similar. To compare their images with this paper constructs new dataset...
Picking the first arrival of prestack gathers is an indispensable step in seismic data processing. To enhance efficiency processing, some deep-learning-based methods for first-arrival picking have been developed. However, when applying currently trained models to that significantly differ from training set, results are often suboptimal. We refer this predictive scenario as cross-survey picking. Therefore, further improving model generalization accurate has become urgent problem. overcome...
To identify medication adherence and its influencing factors among patients of 14 methadone maintenance treatment (MMT) clinics in Xi'an, China.Data were obtained from the National AIDS Information System-Community Methadone Maintenance Treatment. All registered system not permitted to take at home without professionals' supervision. Medication was assessed using categorical (ie, dropout or retained) continuous time, use percentage days) variables. Percentages days >90%, 50% 90%, <50%...
We analyzed a 6-year methadone maintenance treatment (MMT) retention rate in 8 MMT clinics Xi'an and the factors that influenced rate.We conducted retrospective dynamic cohort study of 5849 eligible patients from 2006 to 2011. Participants were serially enrolled on basis opioid addiction, age, residence status, civil capacity. Cumulative was calculated using survival analyses (life tables) number days MMT. also used Cox proportional hazard regression model analyze may influence retention.The...
This study evaluated the long-term effects of different psychosocial intervention models in methadone maintenance treatment (MMT) Xi'an China. Patients from five MMT clinics were divided into three groups receiving only, with counseling psychology (CP) or contingency management (CM). A five-year follow-up was carried out daily records medication, monthly random urine morphine tests, and tests for anti-HIV anti-HCV every six months. Drug use behavior recorded months after initial recruitment...
To overcome the shortcomings of traditional dairy cow feed intake assessment model and BP neural network, this paper proposes a method optimizing network using polynomial decay learning rate, taking cow's body weight, lying duration, times, walking steps, foraging duration concentrate-roughage ratio as input variables actual is output variable to establish model, trained verified by experimental data collected on site. For sake comparative study, simultaneously assessed SVR KNN logistic...
The study purpose was to explore relationships between perceived social support and retention in mainland Chinese patients receiving methadone maintenance treatment (MMT). Data collection included baseline information, support, retention. A total of 1212 completed the cross-sectional survey; 809 (66.7%) good 458 (37.8%) had been re-admitted. Despite controlling past did not significantly influence support. At two-year follow-up, 527 (43.5%) terminated MMT. Patients with poorer were more...
Social support has been considered one of the most important factors health-related quality life (HRQoL) evaluations among different populations; however, few studies have explored relationships both received and perceived social to HRQoL patients undergoing methadone maintenance treatment (MMT). Thus, purpose this cross-sectional study was clarify these relationships. Participants were admitted at two largest privately publicly funded MMT clinics in Xi'an. The main explanatory variable...
• Traditional prediction in cow's DND is limited by small sample conditions. GPR-based technique more suitable for DND. outperforms LS-LRA methods predicting can effectively predict the indicators of dairy cows. In order to evaluate diet nutritional value cows, it essential accurately nutrients digestibility (DND). Conventional are usually based on least squares linear regression analysis (LS-LRA), which often relies a large amount training samples accomplish reliable predictions. However,...
Rumination is closely related to ruminant's health and welfare, so it very important monitor rumination. monitoring equipment based on chewing swallowing audio easy be affected by ambient noise, acceleration sensor not number of cuds other information, video has high cost weather cows, while pressure can accurately record the dairy use processing technology obtain information. In research, peak value interval masticatory in time domain were used identify view problem that standard was well...
The incompleteness of the seismic data caused by missing traces along spatial extension is a common issue in acquisition due to existence obstacles and economic constraints, which severely impairs imaging quality subsurface geological structures. Recently, deep learningbased interpolation methods have attained promising progress, while achieving stable training generative adversarial networks not easy, performance degradation usually notable if patterns testing do match. In this paper, we...