A5014686133- Dental Health and Care Utilization
- Oral microbiology and periodontitis research
- Traffic Prediction and Management Techniques
- Dental Radiography and Imaging
- Human Mobility and Location-Based Analysis
- HIV/AIDS oral health manifestations
- Pediatric health and respiratory diseases
- Transportation Planning and Optimization
- Energy Efficient Wireless Sensor Networks
- Advanced Mathematical Identities
- dental development and anomalies
- Dental Research and COVID-19
- Mobile Ad Hoc Networks
- Genetic Mapping and Diversity in Plants and Animals
- Health disparities and outcomes
- Chinese history and philosophy
- Opportunistic and Delay-Tolerant Networks
- Language, Metaphor, and Cognition
- Plant Molecular Biology Research
- Translation Studies and Practices
- Wheat and Barley Genetics and Pathology
- Video Surveillance and Tracking Methods
- Healthcare Systems and Reforms
- Traffic control and management
- Mathematical functions and polynomials
Qingdao University
2005-2025
Southern Medical University
2017-2025
Southwest Jiaotong University
2021-2025
Qingdao University of Science and Technology
2021-2024
Huazhong University of Science and Technology
2024
Guangxi University
2004-2024
Sichuan University
2022
Suzhou Vocational Health College
2022
Dalian Polytechnic University
2022
Hunan University of Arts and Science
2007-2021
Gingivitis is the most prevalent form of periodontal disease in children and adolescents, being strongly associated to some socioeconomic factors oral health behaviours. This study aimed assess prevalence gingivitis its association with socio-demographic health-related behaviours aged 12-15 years Guangdong, Southern China.A total 7680 were sampled using an equal-sized, stratified, multistage, random sampling method clinically examined between December 2015 April 2016. A questionnaire on...
Abstract Background Tooth loss is a known marker of oral and systemic health, but large-scale population-based cross-sectional multi-year comparative studies on tooth have yet to be much studied in China. This study explores the changing trends status associated factors influencing prevalence over past two decades Guangdong, Southern Methods Data from three cross-sectional, representative epidemiological surveys Guangdong Province were analyzed, including 400 1995, 720 2005, 288 2015, for...
Recent years, the Transformer has achieved remarkable results in scene text spotting. This paper uses classic encoderdecoder architecture to propose a Text Spotting model based on with bidirectional Explicit Points sampling (TSEP). As sequence, contains rich semantic information its forward and backward features. We each instance through explicit point sampling. After decoding by decoder, positional of is integrated into points. Therefore, basic prediction head capable producing boundary...
The aim of text-based person retrieval is to identify pedestrians using natural language descriptions within a large-scale image gallery. Traditional methods rely heavily on manually annotated image-text pairs, which are resource-intensive obtain. With the emergence Large Vision-Language Models (LVLMs), advanced capabilities contemporary models in understanding have led generation highly accurate captions. Therefore, this paper explores potential employing for unsupervised pedestrian and...
Abstract Spatio-temporal forecasting has wide applications across various domains, particularly in intelligent transportation systems, where it plays a crucial role. Traffic flow prediction, typical spatio-temporal task, involves complex dependencies both time and space dimensions. Current research predominantly relies on graph neural networks (GNNs) for modeling. However, deep GNN architectures often face the issue of over-smoothing. To address this challenge, recent studies have explored...
This study aimed to identify the high-risk group for root caries using unsupervised machine learning and explore associated factors. cross-sectional included 423 adults aged 65 74 years, surveyed in 2021. Clusters representing risk were identified k-prototypes clustering, with optimal number of clusters determined by maximum silhouette index. The confusion matrix alluvial diagram used visualize predictive accuracy composition clustering results. Binary logistic regression models further...
Abstract Mite age, population density, and host leaf quality affect various life history traits in spider mites. We investigated the effects of these factors on aerial dispersal behavior adult female twospotted mites, Tetranychus urticae Koch (Acari: Tetranychidae). The proportion females exhibiting dropped significantly with age following emergence, particularly first 3 days. Sixty to eighty percent mites 2‐days old or younger displayed under test conditions, whereas less than 20% older...
Abstract In trees, wood formation needs carbon import from the photosynthetic source tissues. Sugar transporters play important roles in carbohydrate transport into wood-forming cells. Sugars will eventually be exported (SWEETs) essential many physiological processes. However, of this family growth and development woody plants have not been systematically investigated. study, 27 SWEET genes were identified Populus trichocarpa genome. These classified four clades based on their phylogenetic...
Testing for small-delay defects (SDDs) requires fault-effect propagation along the longest testable paths. However, identification of paths high CPU time, and sensitization all such leads to large pattern counts. Dynamic test compaction is therefore necessary reduce test-data volume. We present a new technique identifying through each gate in order accelerate generation SDDs. The resulting patterns sensitize that pass SDD site. An efficient dynamic method based on structural analysis...
Analyses of the effects pit and fissure sealant have been based on small samples lack large-scale field evaluation data in China. The aim this study was to understand effect preventing caries first permanent molars (FPMs) children Guangzhou. We conducted a population-based cohort using database program carious status retention FPMs were assessed 4,822 school who received 3 years prior study. control group included 4,396 had indications for receiving but not treated matched according sex, age...
Abstract Background Dental caries of deciduous teeth (Early Childhood Caries, ECC) has become a crucial oral health problem over the decades in China. The aim this study was to examine prevalence and severity ECC among preschool children from Guangdong Province, Southern In addition, assess association with reported health-related behaviors. Methods A cross-sectional survey 2592 participants carried out Province by means an equal-sized, stratified, multistage random sampling method during...
Futures commodity prices are affected by many factors, and traditional forecasting methods require close attention from professionals suffer high subjectivity, slowness, low accuracy. In this paper, we propose a new method for predicting the fluctuation in futures accurately. We solve problem of slow convergence ordinary artificial bee colony algorithms introducing population chaotic mapping initialization operator use resulting algorithm as trainer to learn long short-term memory neural...
Accurate forecast of citywide passenger demand helps online car-hailing service providers to better schedule driver supplies. Previous research either uses only order history and fails capture the deep dependency demand, or is restricted on grid region partition that loses physical context. Recent advance in mobile traffic analysis has fostered understanding city functions. In this paper, we propose FlowFlexDP, a prediction model integrates regional crowd flow applies flexible partition....
Predicting human mobility has great significance in Location based Social Network applications, while it is challenging due to the impact of historical patterns and current trajectories. Among these challenges, his... | Find, read cite all research you need on Tech Science Press
We propose a nonparametric risk-adjusted cumulative sum chart to monitor surgical outcomes for patients with different risks of post-operative mortality due risk factors that exist before the surgery. Using varying-coefficient logistic regression models, we accomplish adjustment. Unknown coefficient functions are estimated by global polynomial spline approximation based on maximum likelihood principle. suggest bisection minimization approach and bootstrap method determine testing limit...
The explosive growth of mobile data demand is becoming an increasing burden on current cellular network. To address this issue, we propose a solution opportunistic offloading for alleviating overloaded traffic. principle behind it to select few important users as seeds sharing. three critical steps are detailed follows. We first explore individual interests by the construction user profiles, which interest graph built Gaussian graphical modeling. then apply extreme value theory threshold...