8 results on '"Zuopeng, Yang"'
Search Results
2. Improving The Robustness Of Convolutional Neural Networks Via Sketch Attention
- Author
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Zuopeng Yang, Jie Yang, Xiaolin Huang, and Tianshu Chu
- Subjects
business.industry ,Robustness (computer science) ,Computer science ,Artificial intelligence ,business ,Convolutional neural network ,Sketch - Published
- 2021
3. Human-Centric Image Captioning
- Author
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Zuopeng Yang, Pengbo Wang, Tianshu Chu, and Jie Yang
- Subjects
Artificial Intelligence ,Signal Processing ,Computer Vision and Pattern Recognition ,Software - Published
- 2022
4. Feature fusion based deep spatiotemporal model for violence detection in videos
- Author
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Mujtaba Asad, Zuopeng Yang, Zubair Khan, Jie Yang, and Xiangjian He
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business.industry ,Computer science ,Frame (networking) ,020207 software engineering ,Pattern recognition ,02 engineering and technology ,Convolutional neural network ,Motion (physics) ,Task (computing) ,Feature (computer vision) ,0202 electrical engineering, electronic engineering, information engineering ,Benchmark (computing) ,020201 artificial intelligence & image processing ,Artificial Intelligence & Image Processing ,Artificial intelligence ,Layer (object-oriented design) ,business - Abstract
© Springer Nature Switzerland AG 2019. It is essential for public monitoring and security to detect violent behavior in surveillance videos. However, it requires constant human observation and attention, which is a challenging task. Autonomous detection of violent activities is essential for continuous, uninterrupted video surveillance systems. This paper proposed a novel method to detect violent activities in videos, using fused spatial feature maps, based on Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) units. The spatial features are extracted through CNN, and multi-level spatial features fusion method is used to combine the spatial features maps from two equally spaced sequential input video frames to incorporate motion characteristics. The additional residual layer blocks are used to further learn these fused spatial features to increase the classification accuracy of the network. The combined spatial features of input frames are then fed to LSTM units to learn the global temporal information. The output of this network classifies the violent or non-violent category present in the input video frame. Experimental results on three different standard benchmark datasets: Hockey Fight, Crowd Violence and BEHAVE show that the proposed algorithm provides better ability to recognize violent actions in different scenarios and results in improved performance compared to the state-of-the-art methods.
- Published
- 2019
5. Multi-generational impacts of arsenic exposure on genome-wide DNA methylation and the implications for arsenic-induced skin lesions
- Author
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Xiaojuan Guo, Zhiyue Liu, Guan Yu, Zhen Di, Xiuqing Guo, Zuopeng Yang, Li Cao, Jie Wang, Jinyu Chen, Daniel Gaile, Wen Gao, Xuefeng Ren, Xushen Chen, Peiye Chang, Guangyun Mao, Binxian Kang, and Hongmei Wu
- Subjects
0301 basic medicine ,Disease ,Biology ,medicine.disease_cause ,Genome ,Skin Diseases ,Article ,Arsenic ,03 medical and health sciences ,chemistry.chemical_compound ,Pregnancy ,Arsenic Poisoning ,medicine ,Humans ,Family ,Epigenetics ,Carcinogen ,General Environmental Science ,Genetics ,Environmental Exposure ,DNA Methylation ,030104 developmental biology ,chemistry ,Prenatal Exposure Delayed Effects ,DNA methylation ,Toxicity ,Female ,Carcinogenesis ,DNA - Abstract
As a nonmutagenic human carcinogen, arsenic (As)'s carcinogenic activity is likely the result of epigenetic changes, particularly alterations in DNA methylation. While increasing studies indicate a potentially important role for timing of As exposure on DNA methylation patterns and the subsequent differential risks for As toxicity and carcinogenesis, there is a lack of research that tackles these critical questions, particularly in human based populations. Here we reported a family-based study including three generations, in which each generation living in the same household had a distinctive timing of As exposure: in adulthood, in utero and during early childhood, and in germlines exposure for grandparents, parents, and grandchildren, respectively. We generated genome-wide DNA methylation data for 18 As-exposed families, nine control families, as well as 18 arsenical skin lesion patients. Our analysis showed that As exposure may leave detectable DNA methylation changes even though exposure occurred decades ago, and the most significant changes of global DNA methylation were observed among patients afflicted with arsenical skin lesions. As exposure across generations shared common differentially methylated DNA loci and regions (744 DML and 15 DMRs) despite the distinctive exposure timing in each generation. Importantly, based on these DML, clustering analysis grouped skin lesion patients together with grandparents in exposed families in the same cluster, separated from grandparents in control families. Further analysis identified a number of DML and several molecular pathways that were significantly distinguished between controls, exposed populations, as well as skin lesion patients. Finally, our exploratory analysis suggested that some of these DML altered by As exposure, may have the potential to be inherited affecting not only those directly exposed but also later generations. Together, our results suggest that common DML and/or DMRs associated with an increased risk for disease development could be identified regardless of when exposure to As occurred during their life span, and thus may be able to serve as biomarkers for identifying individuals at risk for As-induced skin lesions and possible cancers.
- Published
- 2018
6. Prevalence of disability in an arsenic exposure area in Inner Mongolia, China
- Author
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Haitao Zhang, Guangyun Mao, Ruiying Kang, Yuansheng Sun, Zuopeng Yang, Xiaojing Zhang, Wei Yang, Chunsheng Ren, Chuanwu Zhang, and Xiaojuan Guo
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Adult ,Male ,inorganic chemicals ,China ,Environmental Engineering ,Cross-sectional study ,Health, Toxicology and Mutagenesis ,chemistry.chemical_element ,Context (language use) ,Inner mongolia ,Skin Diseases ,Arsenic ,Interviews as Topic ,Risk Factors ,Environmental protection ,Environmental health ,Odds Ratio ,Humans ,Environmental Chemistry ,Medicine ,Disabled Persons ,Risk factor ,Adverse effect ,integumentary system ,business.industry ,Incidence (epidemiology) ,Public Health, Environmental and Occupational Health ,Environmental Exposure ,General Medicine ,General Chemistry ,Pollution ,Arsenic contamination of groundwater ,Cross-Sectional Studies ,chemistry ,Female ,business ,Water Pollutants, Chemical - Abstract
Long term exposure to arsenic can cause adverse health effects and lead to different levels of disability. The prevalence of arsenical dermatosis is as high as 40% in the Hetao Plain area of Inner Mongolia, but the association between exposure to arsenic in drinking water and the occurrence of disability has not yet been fully examined. The aim of this study was to investigate the prevalence of disability in arsenic-affected villages in Inner Mongolia, China.A cross-sectional study was performed to examine the prevalence of disability. A total of 320 villagers in the age range of 20-39 years were interviewed and examined for disability and arsenical skin lesions. The subjects were classified into a high arsenic group (50 microg L(-1)) and a low arsenic group (50 microg L(-1)). The relationship between levels of arsenic in drinking water and disability was analyzed using multivariate logistic regression models to estimate the odds ratios and 95% confidence intervals.The prevalence of disability was 6.88% in the arsenic affected area of Inner Mongolia and 24.72% in the arsenic group 50 microg L(-1). A strong correlation was found between disability and arsenical skin lesions (OR=86.39, 95%CI: 25.45-293.20).This suggests that the level of arsenic exposure is a major risk factor for disability. Further research is needed to place the results in a wider context and to determine the exact relationship between arsenic exposure and disability.
- Published
- 2010
7. Relationship between long-term exposure to low-level arsenic in drinking water and the prevalence of abnormal blood pressure
- Author
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Wei Yang, Na Ta, Xiaojing Zhang, Zuopeng Yang, Hui Yang, Guangyun Mao, Xiaojuan Guo, Suxia He, Li Cao, Wenting Qiu, and Chuanwu Zhang
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Adult ,Male ,Environmental Engineering ,Adolescent ,Alcohol Drinking ,Cross-sectional study ,Health, Toxicology and Mutagenesis ,Population ,Physiology ,chemistry.chemical_element ,Blood Pressure ,Arsenic ,Body Mass Index ,Toxicology ,Young Adult ,Water Supply ,Odds Ratio ,Environmental Chemistry ,Humans ,education ,Waste Management and Disposal ,Aged ,education.field_of_study ,Chemistry ,Incidence (epidemiology) ,Drinking Water ,Odds ratio ,Environmental Exposure ,Mongolia ,Middle Aged ,Pollution ,Pulse pressure ,Arsenic contamination of groundwater ,Blood pressure ,Cross-Sectional Studies ,Hypertension ,Multivariate Analysis ,Female ,Water Pollutants, Chemical - Abstract
Arsenic increases the risk and incidence of cardiovascular disease. To explore the impact of long-term exposure to low-level arsenic in drinking water on blood pressure including pulse pressure (PP) and mean arterial blood pressure (MAP), a cross-sectional study was conducted in 2010 in which the blood pressure of 405 villagers was measured, who had been drinking water with an inorganic arsenic content50 μg/L. A multivariate logistic regression model was used to estimate odds ratios and 95% confidence intervals. After adjusting for age, gender, Body Mass Index (BMI), alcohol consumption and smoking, the odds ratios showed a 1.45-fold (95%CI: 0.63-3.35) increase in the group with30-50 years of arsenic exposure and a 2.95-fold (95%CI: 1.31-6.67) increase in the group with50 years exposure. Furthermore, the odds ratio for prevalence of abnormal PP and MAP were 1.06 (95%CI: 0.24-4.66) and 0.87 (95%CI: 0.36-2.14) in the group with30-50 years of exposure, and were 2.46 (95%CI: 0.87-6.97) and 3.75 (95%CI: 1.61-8.71) for the group with50 years exposure, compared to the group with arsenic exposure ≤ 30 years respectively. Significant trends for Hypertension (p0.0001), PP (p0.0001) and MAP (p=0.0016) were found. The prevalence of hypertension and abnormal PP as well as MAP is marked among a low-level arsenic exposure population, and significantly increases with the duration of arsenic exposure.
- Published
- 2012
8. Protective Effect of Folic Acid on Oxidative DNA Damage
- Author
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Guangyun Mao, Chaonan Jia, Xiaojuan Guo, Huan Cui, Chuanwu Zhang, Zhu Chen, Hui Yang, Zheng Zhang, Haiyang Zhang, Xiaoju Guan, Wenting Qiu, Jia Wu, and Zuopeng Yang
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medicine.medical_specialty ,Creatinine ,business.industry ,DNA damage ,Urinary system ,General Medicine ,Placebo ,medicine.disease_cause ,Gastroenterology ,Surgery ,law.invention ,chemistry.chemical_compound ,Dose–response relationship ,chemistry ,Quartile ,Randomized controlled trial ,law ,Internal medicine ,medicine ,business ,Oxidative stress - Abstract
Although previous reports have linked DNA damage with both transmissions across generations as well as our own survival, it is unknown how to reverse the lesion. Based on the data from a Randomized, Double-blind, Placebo Controlled Clinical Trial, this study aimed to assess the efficacy of folic acid supplementation (FAS) on DNA oxidative damage reversal.In this randomized clinical trial (RCT), a total of 450 participants were enrolled and randomly assigned to 3 groups to receive folic acid (FA) 0.4 mg/day (low-FA), 0.8 mg/day (high-FA), or placebo (control) for 8 weeks. The urinary 8-hydroxy-2'-deoxyguanosine (8-OHdG) and creatinine (Cr) concentration at pre- and post-FAS were measured with modified enzyme-linked immunosorbent assay (ELISA) and high-performance liquid chromatography (HPLC), respectively. A multivariate general linear model was applied to assess the individual effects of FAS and the joint effects between FAS and hypercholesterolemia on oxidative DNA damage improvement. This clinical trial was registered with ClinicalTrials.gov, number NCT02235948.Of the 438 subjects that received FA fortification or placebo, the median (first quartile, third quartile) of urinary 8-OHdG/Cr for placebo, low-FA, and high-FA groups were 58.19 (43.90, 82.26), 53.51 (38.97, 72.74), 54.73 (39.58, 76.63) ng/mg at baseline and 57.77 (44.35, 81.33), 51.73 (38.20, 71.30), and 50.65 (37.64, 76.17) ng/mg at the 56th day, respectively. A significant decrease of urinary 8-OHdG was observed after 56 days FA fortification (P
- Published
- 2015
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