Sentence examples for dimensions to predict from inspiring English sources

There is some debate about the use of broad or narrow psychological dimensions to predict specific behaviors.

The third limit is not having considered comorbidities [ 44], but the aim of the study was only to evaluate the power of temperament and character dimensions to predict clinical modifications.

Identifying genes involved in cancer progression and cell dedifferentiation offers another dimension to predict HCC recurrence, as well as providing novel therapeutic targets and prognosis markers.

Only the 'acceptance and motivation' and 'fears and constraints' dimensions showed fair ability to predict patients' intentions regarding insulin intensification, and the 'acceptance and motivation' dimension to predict attitude towards intensification if inhaled insulin was available.

In order to estimate the structural descriptors in three dimensions based on data measured in two dimensions, equations to predict vegetative surface area and volume, their marginal distribution with height, and their marginal distribution across width at a given height are derived for each tree component: trunk, branches, leaves and seeds.

A dynamic fractal model (DFM) is developed to describe the evolution in pore structure undergoing deposition using fractal dimensions and to predict the changes in the effective diffusivity in terms of the dynamic fractal dimensions.

This consideration is supported by the following facts: first, some features remain symptomatic over time to a subclinical level among patients that do not maintain the ED diagnosis [ 33]; second, personality dimensions fail to predict if subjects will maintain a DSM-IV diagnosis in the long-term while the same personality dimensions are able to predict some important clinical modifications.

The need to conduct a qualitative study is to prove the most important dimensions used to predict actual turnover intentions among professional workers, whilst a quantitative method is employed to examine the impact among variables based on the developed research model.

Temperament and character dimensions failed to predict the outcome in terms of DSM-IV TR diagnostic criteria, but they were successful in predicting the clinical changes of patients.

TCI-R dimensions failed to predict the absence of a DSM-IV-TR diagnosis in the long term, but Novelty Seeking, Harm Avoidance and Reward Dependence demonstrated to predict the clinical improvement of several EDI-2 scales.

Our simpler formulation allows us to extend our analysis to any number of dimensions, and to predict the values of structural parameters of the grid such as the ratio between periods, the grid geometry etc.