INTRODUCTION The aim of this study was to evaluate the Amiel-Tison neurological examination (AT) and cranial ultrasound at term for predicting the neurological result at 12 months in newborns with neurological risk. PATIENTS AND METHODS The study included 89 newborns with high risk of neurological damage, who were discharged from the Neonatal Intensive Care of the Hospital Zonal Bariloche, Ar...

BACKGROUND The current study aims to identify demographic, clinical characteristics, echocardiographic and/or mitral valve morphological parameters that may predict the successful result of percutaneous transvenous mitral commissurotomy (PTMC).  METHODS The medical records of 196 patients (48 males, mean age: 42.7 ± 11.5 years) who underwent PTMC were reviewed. Prior to PTMC, a combination of...

It has been postulated that dentoalveolar height is enlarged by a compensation mechanism in long face subjects. In this study, dentoalveolar composition was studied in 83 open bite patients. It was found that increases in overbite during treatment coincided with vertical lengthening of the symphysis, which exceeded increments in lower face height. This vertical growth coincided mainly with an i...

We demonstrate the use of model predictive control (MPC) for a microgrid with plug-in vehicles. A predictive model is developed based on a hub model of the microgrid, and the control is optimized for minimum generator fuel usage. A variety of horizons and levels of prediction error are used in the optimization. A new method to model expected load and error is presented based on radial basis fun...

Neural networks, Bayesian networks, Markov models, and state predictors are different methods to predict the next location. For all methods a lot of parameters must be set up which differ for each user. Therefore a complex configuration must be made before such a method can be used. A hybrid predictor can reduce the configuration overhead utilizing different prediction methods or configurations...

Protein secondary structure prediction is one of major challenges in bioinformatics, data ming. In this paper, we propose a novel intelligent prediction system model-Compound Pyramid System Model, which may become the classic model for predicting protein secondary structure. It consists of four components by intelligent interfaces and synthesizing several methods such as SAC (Structural associa...

A potential downside of prediction markets is that they may incentivize agents to take undesirable actions in the real world. For example, a prediction market for whether a terrorist attack will happen may incentivize terrorism, and an in-house prediction market for whether a product will be successfully released may incentivize sabotage. In this paper, we study principal-aligned prediction mec...

the quantitative structure-property relationship (qspr) method is used to develop the correlation between structures of refrigerants (198 compounds) and their critical temperature. molecular descriptors calculated from structure alone were used to represent molecular structures. a subset of the calculated descriptors selected using a genetic algorithm (ga) was used in the qspr model development...

In the current world, sports produce considerable statistical information about each player, team, games, and seasons. Traditional sports science believed science to be owned by experts, coaches, team managers, and analyzers. However, sports organizations have recently realized the abundant science available in their data and sought to take advantage of that science through the use of data mini...