Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...
Introduction Population level screen and treat approach for anaemia reduction could be beneficial but its feasibility and ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Credit Rating, Sovereign Credit Rating, Income Levels, Ordered Probit Model Share and Cite: Niyonshuti, M., Ishimwe, M., Su, M. and Nketia, E. (2026) Analyzing the Factors Influencing Sovereign Credit ...
This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...
Abstract: Multivariate time series prediction has significant practical applications in the fields of finance, electricity and transportation. However, due to the characteristics of high ...
Objective Anxiety affects up to one-third of adults with asthma and is linked to poorer disease outcomes and reduced quality ...
Shuai Zhang, Yumin Liu, Uk Jung, Sparse abnormality detection based on variable selection for spatially correlated multivariate process, The Journal of the Operational Research Society, Vol. 70, No. 8 ...
Sea foams are caused by algal blooms and can represent large areas in coastal waters during ocean fronts associated with ...
Abstract: This study proposes a multivariate dynamic cost standard prediction model based on random forest; LSTM is combined with XGBoost to solve the problem of accuracy in predicting complex cost ...
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