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SSRN
Using the Reversible Jump MCMC Procedure for Identifying and Estimating Univariate TAR Models
In: Communications in statistics. Simulation and computation, Band 42, Heft 4, S. 814-840
ISSN: 1532-4141
SSRN
Resonance Compensation Research of Tip-Tilt Mirror's 2-Dof Tracking-Disturbance Rejection Problem
In: SNA-D-21-02070
SSRN
Iatrogenic Diversion of Inferior Vena Cava to the Left Atrium Presented as Persistent Hypoxemia: Case Series
In: HELIYON-D-24-07676
SSRN
Protozoa Contamination and Control Measures in Mass Culture of the Diatom Phaeodactylum Tricornutum
In: BITE-D-22-02809
SSRN
The association between living environmental factors and adolescents' body weight: a cross-sectional study
BACKGROUND: The effect of the living environment on public health has received increasingly scholarly attention. This study aims to explore the relationship between adolescents' body weight and their living environmental factors. METHODS: This cross-sectional study comprised 1362 middle-school students from Nanjing and 826 from Changzhou in China. We further collected information on living environmental factors based on their home address and ran multivariate logistic regressions to explore potential correlations after considering a range of potential confounding factors. RESULTS: Approximately 25% (n = 303) of students from Nanjing and 26% (n = 205) of students from Changzhou were excessive body weight. In Nanjing, students' BMI (Body Mass Index) showed a strong negative correlation with the number of sports venues in their neighborhood (Adjusted Odds Ratio (AOR): 0.64, 95%CI: 0.40–0.94) after controlling for other covariates. In Changzhou, we observed a positive correlation between adolescents' body weight and the number of bus stops in their neighbourhood (AOR:1.63, 95%CI:1.11–2.38). CONCLUSIONS: The living environment factors were independently associated with teenagers' excessive body weight. We hypothesis that the environmental risk factors might be associated with political management, which will consequently affect personal health outcomes. Further research and proactive measures are required to manage those potential risks and attenuate the problem. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-021-03054-8.
BASE
A Bayesian Network-Gis Probabilistic Model for Addressing Human Disturbance Risk to Ecological Conservation Redline Areas
In: JEMA-D-23-03097
SSRN
Changes and Developments in the BRICS Agenda for Future Presidencies
In: International Organisations Research Journal, Band 14, Heft 2, S. 109-127
ISSN: 2542-2081