A5080021125- Physical Activity and Health
- Mobile Health and mHealth Applications
- Obesity, Physical Activity, Diet
- Impact of Technology on Adolescents
- Technology Adoption and User Behaviour
- Irrigation Practices and Water Management
- Cardiac Health and Mental Health
- Sport and Mega-Event Impacts
- Behavioral Health and Interventions
- Children's Physical and Motor Development
- Sports Analytics and Performance
- Sports, Gender, and Society
- Greenhouse Technology and Climate Control
- Smart Agriculture and AI
- Soil Moisture and Remote Sensing
- Biochemical and Structural Characterization
- Noise Effects and Management
- COVID-19 and Mental Health
- Sports injuries and prevention
- Educational Games and Gamification
- Eating Disorders and Behaviors
- Radio Frequency Integrated Circuit Design
- Attention Deficit Hyperactivity Disorder
- Invertebrate Immune Response Mechanisms
- Health disparities and outcomes
Technical University of Munich
2020-2025
Shanghai Jiao Tong University
2016-2025
Southeast University
2024
Stadtwerke München (Germany)
2020-2021
Texas A&M University
2017
Beijing Institute of Technology
2014
Background: The coronavirus disease 2019 (COVID-19) pandemic has created challenges that have caused profound changes in health behaviors. This study aimed to explore how COVID-19 is affecting the health-related quality of life (QoL) among Chinese adults. Methods: data behaviors and QoL were collected via online surveys from 2289 adults (mean age = 27.8 ± 12 years) who had been isolated at home for an average 77 days. Results: More than 50% respondents reported their time engaged daily...
There are various health benefits of regular physical activity (PA) and risks sedentariness. The Covid-19 pandemic may have decreased PA increased sedentariness for several reasons (e.g., closure gyms, family-related time constraints, reduced outdoor mobility). Yet, to date, there no longitudinal studies that examined whether the affects levels what factors help people remain physically active during lockdown. This study aims investigate changes in U.S. residents' (vs. before) predictors...
Background Smartphone fitness apps are considered promising tools for promoting physical activity and health. However, it is unclear which user-perceived factors app features encourage users to download with the intention of being physically active. Objective Building on second version Unified Theory Acceptance Use Technology, this study aims examine association seven determinants Technology usage intentions individuals their behavioral active as well moderating effects different smartphone...
ABSTRACT Previous approaches to model the performance of nonprofit organizations and their determinants largely rely on linearity monotonicity assumptions. This research note makes a methodological contribution by jointly using descriptive predictive models, particularly advanced machine‐learning algorithms that allow for consideration non‐linear or non‐monotonic relationships, understand relevance factors associated with sport clubs as well nature relationships. Data were collected via an...
Modern sensor technologies, internet and advanced irrigation equipment allow a relative precise control of agricultural that leads to high water-use efficiency. However, the core algorithms make use these technologies have not been well studied. In this work, reinforcement learning based technique is investigated. The delayed reward crop yield handled by temporal difference technique. process can be on both off-line simulation real data from sensors yield. Neural network fast models for soil...
Background Objective assessments of sedentary behavior and physical activity (PA) by using accelerometer-based wearable devices are ever expanding, given their importance in the global context health maintenance. This study aimed to determine reliability validity a new analyzer (Fibion) for detecting different PAs estimating energy expenditure (EE) during simulated free-living day. Methods The consisted two parts: ( n = 18) 19) test. Reliability was assessed 45 min protocol repeated sitting,...
Highlights Deep reinforcement learning-based irrigation scheduling is proposed to determine the amount of required at each time step considering soil moisture level, evapotranspiration, forecast precipitation, and crop growth stage. The methodology was compared with traditional approaches some machine learning based on simulation. Abstract. Machine has been widely applied in many areas, promising results large potential. In this article, deep proposed. This approach can automate process...
Background Effective and sustainable implementation of physical activity (PA) in type 2 diabetes (T2D) health care has general not been successful. Efficacious contemporary approaches to support PA adherence adoption are required. Objective The primary objective this study was investigate the effectiveness including an app-based (InterWalk) approach municipality-based rehabilitation increase moderate-and-vigorous (MVPA) across 52 weeks compared with standard among individuals T2D. Methods...
Abstract Physical inactivity has long been a global public health issue. In response to this, China published new Activity and Sedentary Behaviour Guidelines for Chinese People in 2021 (PASBG 2021). This is milestone China’s health, behavioural epidemiology an important contribution the Healthy 2030 initiative. commentary summarises contents highlighted significance of guidelines. The PASBG provide foundations population-based estimates healthy behaviours, strategies addressing physical...
Associations between daily physical activity (PA) and executive functioning have rarely been investigated among young adults. This study examined these associations 162 university students (74 females 88 males; mean age = 19.0, SD 1.1 years). We measured PA objectively, using hip-mounted accelerometers, assessed in a task-switching paradigm. Anthropometrics measurements were gathered standardized procedures. Through linear regression modeling, we found moderate-to-vigorous (β -0.19, 95% CI...
The purpose of the study was to investigate associations device-measured total sedentary time and screen-based with anxiety in college students.Three hundred twenty-one students (mean age = 19.72 ± 1.18, 55.8% females) were recruited from Shanghai, China. Total objectively measured using accelerometry, while self-reported. Anxiety symptom evaluated Self-Rating Scale. Linear regression modeling used assess symptom.Accelerometer-assessed not associated symptom. Prolonged on TV movie viewing...
Professional team sport brands are increasingly striving to conquer markets abroad. However, little is known about promising brand positioning strategies in international markets. In the context of U.S. brands’ efforts attract satellite fans two different target (i.e., Germany and China), this research uses three experimental online studies test relative effects foreign (purely vs. locally integrated foreign) on fans’ attitudes toward strategy interaction intentions. Findings suggest that...
Agricultural irrigation accounts for two-thirds of global fresh water use and plays a pivotal role in addressing the challenge shortage. Soil moisture sensors can improve efficiency this work is study on sensor deployment fault detection context agricultural irrigation. Previous works are mostly oriented toward general applications focused optimizing complicated networks. In irrigation, network relatively simple, while expectation to system reliability quite high. work, reliability-driven...
Research question Our study aims to extend findings from previous efforts exploring the factors associated with transfer fees and all big five league clubs in European football (men) by building upon advances machine learning, which allow depart linear functional forms. Furthermore, we provide a simple test of whether market has changed since beginning COVID-19 pandemic.Research methods A fully flexible random forest estimator as well generalized quantile additive models are used analyze...
A kind of fully digital transmitter architecture with high ability for reconfiguration is proposed. It utilizes polar coordinate conversion technique, which transforms the baseband I, Q signals into amplitude and phase, then handles phase separately. The quantified via method lookup table different quantization values select time-delays a certain IF square wave. These delayed waves reference generate pulse-widths signal by an XOR gate. in same way, selecting delays carrier clock values....
Objective assessments of sedentary behavior, physical activity (PA) and the associated energy expenditure (EE) using accelerometer-based wearable devices are ever expanding, given their importance in global context health maintenance. However, among these numerous devices, different underlying algorithms available output parameters make it difficult to determine accuracy. Furthermore, function accuracy those may significantly differ between wearing locations (i.e., wrist-worn, waist-worn or...
<sec> <title>BACKGROUND</title> Smartphone fitness apps are considered promising tools for promoting physical activity and health. However, it is unclear which user-perceived factors app features encourage users to download with the intention of being physically active. </sec> <title>OBJECTIVE</title> Building on second version Unified Theory Acceptance Use Technology, this study aims examine association seven determinants Technology usage intentions individuals their behavioral active as...