The study had two goals: (1) to explore the relations between self-assessed childhood depression and other adaptive and clinical variables (2) to identify predictor variables of childhood depression. Participants were 420 students aged 7-10 years old (53.3% boys, 46.7% girls). Results revealed: (1) positive correlations between depression and clinical maladjustment, school maladjustment, emotio...

Concatenative speech synthesis systems attempt to minimize audible discontinuities between two successive concatenated units. In unit selection concatenative synthesis, a join cost is calculated that is intended to predict the extent of audible discontinuity introduced by the concatenation of two specific units. A study was conducted that used human perceptual data on the detectability of mid-v...

There is certain controversy on whether cyber-bullying is a category of bullying as it appears in a very different scenario away from the schools. The objective of this research has been to know if the variables that predict the involvement of youngsters in traditional bullying are also predictor of the appearance of cyber-bullying. Accordingly, we have looked for the similarities and the diffe...

PURPOSE We intended to determine predictor variables of anthropometry and training for marathon race time in recreational female runners in order to predict marathon race time for future novice female runners. METHODS Anthropometric characteristics such as body mass, body height, body mass index, circumferences of limbs, thicknesses of skin-folds and body fat as well as training variables suc...

Application of data mining methods as a decision support system has a great benefit to predict survival of new patients. It also has a great potential for health researchers to investigate the relationship between risk factors and cancer survival. But due to the imbalanced nature of datasets associated with breast cancer survival, the accuracy of survival prognosis models is a challenging issue...

One of the more complex tasks, prediction often involves deriving patterns from a training set, thus building a model of the population’s behavior that incorporates predictor variables and dependable variables. The model is then fed with new predictor data to produce estimations of the dependable variables. In the strict sense of the word predicting would involve a time difference between the p...

This paper proposes a discriminant analysis method that uses a neural network model to predict the fault-prone program modules that will cause failure after the release. In our method, neural networks of a layered type are used to represent nonlinear relation among predictor variables and objective variables. Since the relation among predictor variables and objective variables is complicated in...

Patient characteristics as predictors of alcohol use disorder treatment outcome were examined on three levels, identifying whether or not variables were significant predictors of drinking-related outcome in univariate analysis, in multivariate analysis, and in multivariate analyses limited to studies including several "key predictors." Also, a model was developed to predict total percentage of ...