In this study, growthofListeriamonocytogenes in a low conductivity growth medium (LCGM) was simultaneously monitored by conductivity and pH measurements. Detection times obtained from the conductivity and pH growth curves were inversely related to the initial concentration of L.monocytogenes in themedium. Linear responses were found by plotting detection times obtained from both conductivity an...

By observing the crystal shapes and kinetics of ice Ih growing at high pressures from the melt, it was found that the prism f1 0 1̄ 0g faces undergo a roughening transition at approximately 16 C and 160MPa (1600 bar) in H2O ice, and 14 C and 180MPa (1800 bar) in D2O ice. At temperatures above the roughening transition, the prism facets completely vanished and the curves of growth rate versus gro...

Human growth research requires knowledge of longitudinal statistical methods that can be analytically challenging. Even the assessment of growth between two ages is not as simple as subtracting the first measurement from the second, for example. This article provides an overview of the key analytical strategies available to human biologists in increasing order of complexity, starting with a rev...

Modelling of longitudinal data from agricultural experiments using growth curves help understand conditions conducive or unconducive to crop growth. Recent advances in Geographical Information Systems (GIS) now allow geocoding of agricultural data that help understand spatial patterns. A particularly common problem is capturing spatial variation in growth patterns over the entire experimental d...

Percentile growth curves are often used as a clinical indicator to evaluate variations of children's growth status. In this study, we propose empirical percentile growth curves using Z-scores adapted for Japanese Thoroughbred horses, with considerations of the seasonal compensatory growth that is a typical characteristic of seasonal breeding animals. We previously developed new growth curve equ...

Modeling of longitudinal data from agricultural experiments using growth curves helps understand conditions conducive or unconducive to crop growth. Recent advances in Geographical Information Systems (GIS) now allow geocoding of agricultural data that help understand spatial patterns. A particularly common problem is capturing spatial variation in growth patterns over the entire experimental d...

Reference growth curves estimate the distribution of a measurement as it changes according to some covariate, often age. We present a new methodology to estimate growth curves based on mixture models and splines. We model the distribution of the measurement with a mixture of normal distributions with an unknown number of components, and model dependence on the covariate through the weights, usi...

OBJECTIVE To assess the somatic growth of preterm newborns through growth curves during the first 12 weeks of life. METHOD A longitudinal and prospective study was carried out at two state operated maternity hospitals in the city of Belo Horizonte. Three hundred and forty preterm infants with birth weight less than 2,500 g were weekly evaluated in terms of body weight, head circumference, and...

Growth is a key cellular phenotype relevant in areas ranging from microbiology to cancer biology. Hence, quantitative measures of growth must be accurately estimated. Historically, many parametric models have been proposed, reviewed in ([1]). However, in our experience, growth curves rarely follow these idealistic behaviours. In practice, non-parametric models, in which curves are simply smooth...

Non-linear growth curves or growth curves that follow a specified non-linear function in time enable researchers to model complex developmental patterns with parameters that are easily interpretable. In this paper we describe how a variety of sigmoid curves can be fit using the Mplus structural modeling program and the non-linear mixed-effects modeling procedure NLMIXED in SAS. Using longitudin...