Delirium—biomarkers and genetic variance

Delirium—biomarkers and genetic variance

INTRODUCTION Advancement in quality of health care has resulted in improved patient outcomes; however, knowledge of delirium as well as methods of treatment and its prevention are not well known. The prevalence of delirium in postoperative patients is associated with an increase in mortality, impaired recovery, and increased hospital costs (Chu et al., 2011). Complex syndromes, like delirium, a...

Additive Genetic Variance

Liberating genetic variance through sex.

Genetic variation in fitness is the fundamental prerequisite for adaptive evolutionary change. If there is no variation in survival and reproduction or if this variation has no genetic basis, then the composition of a population will not evolve over time. Consequently, the factors influencing genetic variation in fitness have received close attention from evolutionary biologists. One key factor...

Estimation of (co) variance components and genetic parameters for growth traits in Arman sheep

(Co) variance components and genetic parameters for growth traits in Arman sheep were estimated, using data collected during an 11-year period (1999-2010), by applying the restricted maximum likelihood (REML) procedure under univariate and bivariate animal models. The studied traits were body weight of lamb at birth (BW), body weight at 3 months of age as weaning weight (WW), body weight at 6 m...

Genetic Algorithms and the Variance of Fitness

This paper presents a method for calculat ing the variance of schema fitness using Walsh t ransforms. The computation is important for underst anding the performance of genet ic algorithms (GAs) because most GAs depend on the sam pling of schema fitness in populat ions of modest size, and the variance of schema fitn ess is a primary source of noise that can prevent proper evaluation of building...