MOTIVATION So far various statistical and machine learning techniques applied for prediction of beta-turns. The majority of these techniques have been only focused on the prediction of beta-turn location in proteins. We developed a hybrid approach for analysis and prediction of different types of beta-turn. RESULTS A two-stage hybrid model developed to predict the beta-turn Types I, II, IV an...

We wish to study the effects of genetic and environmental factors on disease risk, using data from families ascertained because they contain multiple cases of the disease. To do so, we must account for the way participants were ascertained, and for within-family correlations in both disease occurrences and covariates. We model the joint probability distribution of the covariates of ascertained ...

in the present study, air quality analyses for ozone (o3) were conducted in shiraz, a city in the south of iran. the measurements were taken from 2011 through 2012 in two different locations to prepare average data in the city. the average concentrations were calculated for every 24 hours, each month and each season. results showed that the highest concentration of ozone occurs generally in the...

This paper considers multiple regression model with multivariate spherically symmetric errors to determine optimal β-expectation tolerance regions for the future regression vector (FRV) and future residual sum of squares (FRSS) by using the prediction distributions of some appropriate functions of future responses. The prediction distribution of the FRV, conditional on the observed responses, i...

Litter decomposition rate (k) is typically estimated from proportional litter mass loss data using models that assume constant, normally distributed errors. However, such data often show non-normal errors with reduced variance near bounds (0 or 1), potentially leading to biased k estimates. We compared the performance of nonlinear regression using the beta distribution, which is well-suited to ...

background and objectives: germination and seedling establishment are two critical and important stages during plants growing season. from seed technology viewpoint, germination refers to emergence and development from seed embryo, so that could produce normal seedling. many studies  have been done to determine germination cardinal temperatures and required thermal time for emergence occurrence...

the aggregation of protein is the most prevalent and the most disturbing kind of instability and this challenge exists in almost every stage of the development of protein drug. the presence of insoluble aggregations in protein drugs will make the supply of the product a tough job. this study identifies the inhibition of the folded interferon beta 1-b’s aggregation with the assistance of some ex...