Coronavirus disease(COVID-19):The need to maintain regular physical activity while taking precautions

The on-going Coronavirus disease(COVID-19)outbreak in China has become the world's leading health headline and is causing major panic and public concerns.On January 30,2020,the World Health Organization(WHO)declared that the new coronavirus outbreak is a public health emergency of international concern.1 The virus has already had a direct impact on more than 10 million people in the city of Wuhan and has reached other parts of China as well,posing a health threat of unknown magnitude globally.As of February 8,2020,WHO reported 34,886 confirmed cases of COVID-19 globally,with 34,589 of them occurring in China(including 6101 severe cases and 723 deaths).A total of 288 other confirmed cases(with 1 death)have been reported in 24 countries,including Japan,Australia,Germany,and United States.2 However,these daily estimates are expected to rise even higher as reports from health authorities in China3 are gathered and near real-time updates of the Johns Hopkins virus dashboard are made 4 The outbreak has caused governments in various countries to take swift and protective measures.In China,these included putting cities on lockdown,5 implementing travel wamings/bans and cancellations,6 extending national holidays,and closing schools and postponing classes7.

Physical activity and prevention of chronic disease in Chinese youth:A public health approach

Globally,physical activity(PA)has been recognized as one of the important lifestyle behaviors that brings major health benefits to,and affects the healthy growth of,school-aged children and adolescents.

Physical activity continuum throughout the lifespan:Is exercise medicine or what?

In 2007, the American Medical Association and the Ameri- can College of Sports Medicine co-launched a health initiative called ＂Exercise is Medicine＂. It soon became a multinational collaboration, currently involving 43 national centers across the globe.1 Moreover, the slogan ＂Exercise is Medicine＂ has quickly spread outside healthcare settings and has become a popular discourse surrounding exercise. In recent years, however, some exercise scientists began to question if the medical model of exercise makes it an attractive approach for promoting exercise. In this special issue of Journal of Sport and Health Science, we present the views of leading researchers in exercise sociology, sport and exercise psychology, exercise physiology, as well as sports and exercise medicine who par- ticipated in an international symposium on Physical activity continuum throughout the lifespan： Is exercise a medicine or what？. This symposium was organized by the Shanghai Jiao Tong University and the China Sport Science Society in Shanghai on November 11-12, 2015.

Returning Chinese school-aged children and adolescents to physical activity in the wake of COVID-19: Actions and precautions

The Coronavirus disease-2019(COVID-19)pandemic is still spreading globally.As of April 7,2020,it has reached 184 countries and territories,infecting more than 1.4 million people worldwide with more than 82,000 deaths.1 The situation in China has improved significantly since December 31,2019.2 Owing to the unprecedented and effective quarantine measures taken across the country,Chinese health authorities reported on March 18,2020,that for the first time since the outbreak no new locally transmitted COVID-19 cases had been reported,marking a major turning point in the fight against the highly contagious coronavirus.3 Since then,the daily number of new cases in the mainland of China has dropped to double digits,with new infections primarily originating from incoming air passengers from outside China.

Effect of aerobic exercise on insulin resistance and centra1 adiposity disappeared after the discontinuation of intervention in overweight women

Purpose： This study aimed to assess whether the benefits of exercise on central adiposity and insulin resistance （HOMA-IR） are maintained after discontinuation of intervention in the overweight/obese （OWOB） women. Methods： The study subjects were from 2 independent studies with similar aerobic exercise （AE） intervention programs. In study I, I50WOB postmenopausal women with pre-diabetes （body mass index, BMI = 24-33 kg/m2, aged 52-65 years） completed an 8-month exercise intervention and were followed for 2 years after the intervention. In study lI, 12 OWOB （BM1 = 25-35 kg/m2, aged 30-50 years） premenopausal women participated in a 6-week AE and were followed for 4 years after the intervention. The exercise program consisted of progressive AE with intensity of 60%-75% of initial fitness level, 30-60 min/time and 3-5 times/week. Fat mass （FM） was assessed by Dual Energy X-ray Absorptiometry （DXA Prodigy; study I） or bioelectrical impedance device （Inbody 720; study II）. Plasma glucose and insulin were assessed by chemiluminescent immunoassay and HOMA-IR was calculated. Results： Both 8-month and 6-week moderate AE were effective in reducing HOMA-IR （-18.9%, p = 0.012 and -26.7%, p = 0.046, respectively）, and 8-month AE reduced FM at upper abdominal region （-6.2%, p = 0.021）. However, these improvements were not maintained in either study at the follow-up. Conclusion： The AE program used in these studies was effective to reduce insulin resistance and/or FM in central body region among overweight and obese women. However, when exercise intervention was discontinued, the beneficial effects following both short- and long-term intervention disappeared. Thus maintaining exercise seems to be required if one wants to reap the benefits of exercise in the long-term.

Mood States Recognition of Rowing Athletes Based on Multi-Physiological Signals Using PSO-SVM

Athletes have various emotions before competition, and mood states have impact on the competi- tion results. Recognition of athletes’ mood states could help athletes to have better adjustment before competition, which is significant to competition achievements. In this paper, physiological signals of female rowing athletes in pre- and post-competition were collected. Based on the multi-physiological signals related to pre- and post-competition, such as heart rate and respiration rate, features were extracted which had been subtracted the emotion baseline. Then the particle swarm optimization (PSO) was adopted to optimize the feature selection from the feature set, and combined with the least squares support vector machine (LS-SVM) classifier. Positive mood states and negative mood states were classified by the LS-SVM with PSO feature optimization. The results showed that the classification accuracy by the LS-SVM algorithm combined with PSO and baseline subtraction was better than the condition without baseline subtraction. The combination can contribute to good classification of mood states of rowing athletes, and would be informative to psychological adjustment of athletes.

RADepthNet:Reflectance-aware monocular depth estimation

Background Monocular depth estimation aims to predict a dense depth map from a single RGB image,and has important applications in 3D reconstruction,automatic driving,and augmented reality.However,existing methods directly feed the original RGB image into the model to extract depth features without avoiding the interference of depth-irrelevant information on depth-estimation accuracy,which leads to inferior performance.Methods To remove the influence of depth-irrelevant information and improve the depth-prediction accuracy,we propose RADepthNet,a novel reflectance-guided network that fuses boundary features.Specifically,our method predicts depth maps using the following three steps:(1)Intrinsic Image Decomposition.We propose a reflectance extraction module consisting of an encoder-decoder structure to extract the depth-related reflectance.Through an ablation study,we demonstrate that the module can reduce the influence of illumination on depth estimation.(2)Boundary Detection.A boundary extraction module,consisting of an encoder,refinement block,and upsample block,was proposed to better predict the depth at object boundaries utilizing gradient constraints.(3)Depth Prediction Module.We use an encoder different from(2)to obtain depth features from the reflectance map and fuse boundary features to predict depth.In addition,we proposed FIFADataset,a depth-estimation dataset applied in soccer scenarios.Results Extensive experiments on a public dataset and our proposed FIFADataset show that our method achieves state-of-the-art performance.

A review of the mechanical integrity and electrochemical performance of flexible lithium-ion batteries

In the past two decades,various research works have been conducted in the field of flexible electronic devices(FEDs).Researchers have focused their efforts on solving the existing challenges in the electronic,electrochemical,and mechanical behaviors of FEDs.The importance of flexible lithium-ion batteries(FLIBs)in the area of FEDs is evident;however,less attention has been paid to the mechanical behavior of FLIBs in comparison with the material and electrochemical characteristics.The present paper reviewed the research works in the FLIBs,focusing on their mechanical integrity and electrochemical performances.First,an introduction to FLIBs was presented,and the previous review papers published in this field were briefly introduced.Then,a detailed review of the available electrochemical and mechanical research works on FLIBs was presented.Moreover,the mechanical testing methods(tensile,compressive,indentation,fatigue,and adhesion)for the characterization of FLIBs’components,the research works on the simulation and modeling of the mechanical behavior of FLIBs,and a summary of the present situation and the future trend of research in this field were reviewed and presented.