Where the City’s movers and shakers have their say. Today, it’s Marc Warner, chief executive of AI firm Faculty It’s February ...

Columbia University M.P.S. in Insurance Management graduate Phil Offutt shares how AI is leveraged to find correlations and ...

This Github repo contains all lesson files for Hierarchical Linear Models in R. The goal is to impart students with the basic tools to construct, evaluate and compare various (generalized) linear ...

Regression analysis is highly relevant to agricultural sciences since many of the factors studied are quantitative. Researchers have generally used polynomial models to explain their experimental ...

Abstract: This paper presents static and dynamic models for linear and exponential integrated charge pumps in both step-up and step-down modes. The static models are used to compare the slow-switching ...

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...

ABSTRACT: Spatial variation is often encountered when large scale field trials are conducted which can result in biased estimation or prediction of treatment (i.e. genotype) values. An effective ...

Oncology drug efficacy is evaluated in mouse models by continuously monitoring tumor volumes, which can be mathematically described by growth kinetic models. Although past studies have investigated ...

1 Department of Plant Pathology, The Ohio State University, Wooster, OH, United States 2 Center for Integrated Fungal Research, Department of Entomology and Plant Pathology, North Carolina State ...

Somatic damage accumulation is an inevitable consequence of cellular metabolism, yet the environmental and physiological determinants of optimal strategy for coping with this damage remain poorly ...