Wavelet-based statistical signal processing techniques such as denoising and detection
typically model the wavelet coefficients as independent or jointly Gaussian. These models are …

We develop a new multiscale modeling framework for characterizing positive-valued data
with long-range-dependent correlations (1/f noise). Using the Haar wavelet transform and a …

Developmental Programming, sometimes also known as Fetal Programming, refers to the
concept that factors affecting fetal growth and development lead to long-term changes in organ …

The focus of this review is maternal nutrition during the periconceptual period and offspring
developmental outcomes in beef cattle, with an emphasis on the first 50 d of gestation, which …

Managing nutrient supply to match demand is critical for sustainable and efficient livestock
production. The California Net Energy System (CNES) was developed during the late 1950s …

The molecular basis underlying fetal programming in response to maternal nutrition remains
unclear. Herein, we investigated the regulatory relationships between genes in fetal …

Many studies have indicated the importance of capturing scaling properties when modeling
traffic loads; however, the influence of long-range dependence (LRD) and marginal statistics …

We examined the hypothesis that maternal nutrition and day of gestation would affect the
concentrations of AAs and hexoses in bovine utero-placental fluids and maternal serum from …

We hypothesized that a moderate maternal nutrient restriction during the first 50 d of
gestation in beef heifers would affect transcript abundance of genes associated with tissue …

Wavelet-domain hidden Markov models (HMMs) provide a powerful new approach for
statistical modeling and processing of wavelet coefficients. In addition to characterizing the …