Health gap closing function of a green behavioral activity system from the perspective of economic and social capital: A case study of sports governance and operation systems.

Improving sports governance and operation systems can enable groups with low levels of economic and social capital to obtain greater health benefits, thus narrowing the health benefit gap compared to those with high levels of capital and realizing the sustainable development of sports. This study aims to advance the research on the interactive effects of sports governance and its operation system, economic and social capital and individual health. To explore the moderating effect of sports governance and its operation system on the relationship between the level of economic and social capital and individual health, we utilize a multilayer linear model based on analyzing the impact of sports governance and its operation system on individual health at both the macro (data from 28 provinces) and micro levels (data from 10,801 individuals).

Educational efficacy of the simulation-based episiotomy training: a multi-center observational study.

Background: Interprofessional training programmes are now widely used for training junior doctors and nurses. This study aimed to evaluate the educational efficacy of an obstetric operative simulation programme in both junior and senior obstetricians and midwives.

Methods: We conducted a 30-minute professional course in midwifery at three obstetric centers in Zhejiang, China.

The impact of large-scale sports events on national identity: a structural equation model based on the residents' perspective.

Introduction: Large-scale sports events have a profound impact on the enhancement of residents' national identity. The study takes the Hangzhou Asian Games as an opportunity to investigate the influence of such events on national identity and the underlying factors.

Methods: The study takes the impact of residents' involvement in the Asian Games on their national identity as the research object, constructs a theoretical model with subjective well-being and city image as the mediator variables, randomly selects 1,096 residents by questionnaire survey, and analyzes their interrelationships as well as deeper influencing factors by using structural equation modeling and bootstrap.

Effects of rope skipping exercise on working memory and cardiorespiratory fitness in children with attention deficit hyperactivity disorder.

Introduction: Children with Attention Deficit Hyperactivity Disorder (ADHD) exhibit deficits in working memory (WM) and cardiorespiratory fitness (CRF), both of which are closely associated with the core symptoms of ADHD. This study aimed to investigate the effects of rope skipping exercise (RSE) on the WM and CRF of children with ADHD, to provide a theoretical foundation for the optimization of exercise intervention programs tailored to children with ADHD.

Methods: This study recruited 55 children (age range 6-12 years) and randomly assigned them into three groups: the ADHD with RSE (AWRSE, n=22, mean age: 10.

Current agreement between ActiGraph and CUPAR in measuring moderate to vigorous intensity physical activity for adolescents.

The study aims to develop and validate the Curriculum-related Physical Activity Recall questionnaire (CUPAR) as a measure of physical activity in adolescents. 83 middle-school students (13.23 ± 0.

Age and school-segment difference in daily sedentary behavior and physical activity among student (9-23 years): a cross-sectional accelerometer-based survey.

This study is cross-sectional in nature and aims to investigate and track sedentary behavior (SB) and physical activity among student (aged 9-23 years) for seven consecutive days using an accelerometer. It also intends to analyze the current status of the daily activities of students using age and school-segment differences. The study recruits a total of 384 students [age: 14.

The Effects of a Multicomponent Social Support Intervention on Physical Fitness and Exercise Attitude in Children: A 12-Week Randomized Controlled Trial.

Purpose: The current study is intended to assess the effects of a multicomponent social support intervention program on grip strength, sprinting, jumping, agility, flexibility, core strength and exercise attitude among children over a period of twelve weeks. Method: This study followed a randomized parallel design in which 366 children (age: 9.35 ± 1.

Effects of a SMART Goal Setting and 12-Week Core Strength Training Intervention on Physical Fitness and Exercise Attitudes in Adolescents: A Randomized Controlled Trial.

This study aimed to analyze the impacts of a 12-week core strength training (CST) and goal-setting (GS) program on the core endurance, agility, sprinting, jumping, grip strength, and exercise attitude in a group of adolescents. This study followed a randomized parallel design in which 362 adolescents (age: 14.5 ± 1.

Value of Active Warming Devices for Intraoperative Hypothermia Prevention-A Meta-Analysis and Cost-Benefit Analysis.

Purpose: Historically, studies suggested that intraoperative hypothermia (IH) could result in significant resource consumption, but more recent studies have found the opposite. The purpose of this study is to estimate the value of active warming devices for IH prevention based on synthesized evidence.

Methods: A cost-benefit analysis was conducted using the effect of active warming versus passive warming devices for intraoperative hypothermia from a meta-analysis.

Multi-Scale 2D Temporal Adjacency Networks for Moment Localization With Natural Language.

We address the problem of retrieving a specific moment from an untrimmed video by natural language. It is a challenging problem because a target moment may take place in the context of other temporal moments in the untrimmed video. Existing methods cannot tackle this challenge well since they do not fully consider the temporal contexts between temporal moments.

Longitudinal Association of Economic Growth with Lung Function of Chinese Children and Adolescents over 30 Years: Evidence from Seven Successive National Surveys.

(1) Background: Recent studies reported that decrease in lung function of Chinese children and adolescents continues to decline, although the change has been insignificant and has reached a plateau. However, studies have not explored the relationship between lung function and economic development in China. This study sought to explore the longitudinal association between socio-economic indicators and lung function; (2) Method: Data were obtained from seven successive national surveys conducted by the Chinese National Survey on Students' Constitution and Health from 1985 to 2014.

Safety of intraoperative hypothermia for patients: meta-analyses of randomized controlled trials and observational studies.

Background: Previous studies have shown that intraoperative hypothermia was associated with higher risks of clinical adverse events, but we found otherwise from recent evidences. This study aims to synthesize the existing evidence evaluating safety of intraoperative hypothermia.

Methods: Articles, reviews, ongoing trials and grey literatures were retrieved from PubMed, The Cochrane Library, Clinical Trails and CNKI (a Chinese national database) till February 2nd, 2019.

Economic Growth and Cardiorespiratory Fitness of Children and Adolescents in Urban Areas: A Panel Data Analysis of 27 Provinces in China, 1985-2014.

With rapid economic development in China, cardiorespiratory fitness (CRF) of children and adolescents is on a decline. However, this appears to have slowed down, reaching stagnation in certain areas. However, it is unclear if the change in CRF is related to economic growth and development or not.

Effects on the medical revenue of comprehensive pricing reform in Chinese urban public hospitals after removing drug markups: case of Nanjing.

Aims: The State Council of China requires that all urban public hospitals must eliminate drug markups by September 2017, and that hospital drugs must be sold at the purchase price. Nanjing-one of the first provincial capital cities to implement the reform-is studied to evaluate the effects of the comprehensive reform on drug prices in public hospitals, and to explore differential compensation plans.

Methods: Sixteen hospitals were selected, and financial data were collected over the 48-month period before the reform and for 12 months after the reform.

Enhanced furfural production from raw corn stover employing a novel heterogeneous acid catalyst.

With the aim to enhance the direct conversion of raw corn stover into furfural, a promising approach was proposed employing a novel heterogeneous strong acid catalyst (SC-CaC-700) in different solvents. The novel catalyst was characterized by elemental analysis, N adsorption-desorption, FT-IR, XPS, TEM and SEM. The developed catalytic system demonstrated superior efficacy for furfural production from raw corn stover.

Image Search Reranking With Hierarchical Topic Awareness.

With much attention from both academia and industrial communities, visual search reranking has recently been proposed to refine image search results obtained from text-based image search engines. Most of the traditional reranking methods cannot capture both relevance and diversity of the search results at the same time. Or they ignore the hierarchical topic structure of search result.

BSIFT: toward data-independent codebook for large scale image search.

Bag-of-Words (BoWs) model based on Scale Invariant Feature Transform (SIFT) has been widely used in large-scale image retrieval applications. Feature quantization by vector quantization plays a crucial role in BoW model, which generates visual words from the high- dimensional SIFT features, so as to adapt to the inverted file structure for the scalable retrieval. Traditional feature quantization approaches suffer several issues, such as necessity of visual codebook training, limited reliability, and update inefficiency.

Principal visual word discovery for automatic license plate detection.

License plates detection is widely considered a solved problem, with many systems already in operation. However, the existing algorithms or systems work well only under some controlled conditions. There are still many challenges for license plate detection in an open environment, such as various observation angles, background clutter, scale changes, multiple plates, uneven illumination, and so on.

Interactive semisupervised learning for microarray analysis.

Microarray technology has generated vast amounts of gene expression data with distinct patterns. Based on the premise that genes of correlated functions tend to exhibit similar expression patterns, various machine learning methods have been applied to capture these specific patterns in microarray data. However, the discrepancy between the rich expression profiles and the limited knowledge of gene functions has been a major hurdle to the understanding of cellular networks.