Gridded population datasets are instrumental for modeling the interactions between human and the environment at fine spatial scales. Many of these datasets are downscaled from source data of ...

With the continuous advancement of the digital economy, whether it is possible to achieve high-quality development of enterprises with the help of digital technology has become an important issue to ...

Observational studies have shown positive associations between thyroid dysfunction and risk of sarcopenia. However, the causality of this association remains unknown. This study aimed to evaluate the ...

Measurement error in polygenic indices (PGIs) attenuates the estimation of their effects in regression models. We analyze and compare two approaches addressing this ...

Leverage the power of data analysis, machine learning, and artificial intelligence with a specialized master’s degree in one of today’s most in-demand fields. Taught by experienced professionals, this ...

pydynpd is the first python package to implement Difference and System GMM [1][2][3] to estimate dynamic panel data models. Below is a typical dynamic panel data model: In the equation above, x is a ...

Soil organic carbon (SOC) plays a crucial role in mitigating climate change and enhancing soil productivity, with microbial-derived carbon (MDC) being the main component of the persistent SOC pool.

Prediction of crop yield is an essential task for maximizing the global food supply, particularly in developing countries. This study investigated lettuce yield (fresh weight) prediction using four ...

For decades, causal inference methods have found wide applicability in the social and biomedical sciences. As computing systems start intervening in our work and daily lives, questions of ...

the LD Score regression intercept for a schizophrenia GWAS the SNP-heritability for schizophrenia the genetic correlation between schizophrenia and bipolar disorder ...