many studies suggested that fractals could be brought in any structural anarchy, such as cancers, for diagnosis and prognosis evaluation by quantifying it and expressing it in terms of fractal geometry. in this study, we aimed to evaluate pathologic grades or breast carcinomas by fractal analysis. this cross-sectional study was performed on 60 women with breast ductal carcinoma. from all the pa...

data on body weight and body measurements (body length, height at withers, chest girth and paunch girth) of adult kilakarsal sheep have been collected from 124 adult animals managed at the farmers filed in tirunelveli districts of tami nadu, india to estimate the body weight from body measurements. the data were subjected to standard statistical analysis using spss software and linear regressio...

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...

yield prediction before harvesting is one of the tools in order to planning food production supply in future.yield prediction was carried out for wheat(triticum aestivum) using different meteorological variables with agrometeorological indices in hamedan district during 2003-04 and 2004-05. according to correlation coefficients, standard error of estimate as well as relative deviation of predic...

Speech coding algorithms based on Algebraic Code Excited Linear Prediction (ACELP) quantize and code the residual signal with a fixed algebraic codebook. This paper generalizes the conventional encoding to provide optimal bit consumption for all codebook designs by enumerating all possible states. The codebook designed is aimed for constant bit-rate applications applied on mobile devices.

Determination of protein subcellular localization plays an important role in understanding protein function [1]. Knowledge of subcellular localization is also essential for genome annotation and drug discovery. Moreover, abnormal subcellular localization has been correlated with several diseases, such as cancer and Alzheimer’s disease. Experimental determination of protein subcellular localizat...

This paper reports preliminary results of data-driven modeling of segmental (phoneme) duration for Hindi. Classification and Regression Tree (CART) based datadriven duration modeling for segmental duration prediction is presented. A number of features are considered and their usefulness and relative contribution for segmental duration prediction is assessed. Objective evaluation of the duration...

growing amount of information on biological sequences has made application of statistical approaches necessary for modeling and estimation of their functions. in this paper, sensitivity and specificity of the first and second markov chains for prediction of genes was evaluated using the complete double stranded  dna virus. there were two approaches for prediction of each markov model parameter,...

this was a prospective cross-sectional study of consecutive transported patients by emergency medical service (ems) to a referral hospital. the goal of this study was the evaluation of emergency medical technician intermediate prediction about their transported patients disposition in emergency department of imam khomeini hospital. 2950 patients were transported to this hospital, questionnaires...

background: the current study aimed to test the hypothesis: is suicide predictable? and try to classify the predictive factors in multiple suicide attempts. methods: a cross-sectional study was administered to 223 multiple attempters, women who came to a medical poison centre after a suicide attempt. the participants were young, poor, and single. a logistic regression analiysis was used to clas...