the efficiency measurement is a subject of great interest. the majority of studies on dea models have been carried out using radial or non-radial approaches regarding the application of dea for the efficiency measurement. this paper, based on the directional distance function, proposes a new generalized hybrid measure of efficiency under generalized returns to scale with the existence of both r...

background: female sexual dysfunction (fsd) defines as any disorder in the process of sexual contact including 6 main domains, desire, arousal, lubrication,  orgasm,  orgasm  satisfaction  and  pain. this study was conducted to evaluate prevalence of sexual dysfunction disorder in women with migraine headache and also find the associated factors related to migraine characteristics. methods: a t...

asthma management is a major concern because some asthmatic patients either do not respond or else hardly respond to treatment. therefore in the present study, an attempt has been made to determine the predictors of treatment response in asthmatic patients. thirty six asthmatic adults including 13 male and 23 female were studied dur¬ing a 3 month treatment period. asthma symptom score (ss) and ...

the base of this review is to consider the relevant role that animal factors (potential milk yield, body weight, body condition score, state of lactation, parity and fertility) play on milk performance (considering the energy balance and the rumen function across the full lactation curve of animals) and milk quality (milk protein content, milk fat content, milk lactose content, vitamins, minera...

Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract GSAT is a well-known satisfiability search algorithm. In this paper we consider a modification of GSAT. In particular, we consider an adaptive score function. Investigation of efficient satisfiability algorithms and encoding d...

an enterprise resource planning (erp) software is needed for industries and companies that want to develop in future. many of the manufactures and companies have a problem with erp software selection. an inappropriate selection process can affect both the implementation and the performance of the company significantly. although several models are proposed to solve this problem many of them did n...

In this paper a new method for tuning regularisation parameters or other hyperparameters of a learning process (non-linear function estimation) is proposed, called robust cross-validation score function (CV S−fold). CV Robust S−fold is effective for dealing with outliers and nonGaussian noise distributions on the data. Illustrative simulation results are given to demonstrate that the CV S−fold ...

Feature learning forms the cornerstone for tackling challenging learning problems in domains such as speech, computer vision and natural language processing. In this paper, we consider a novel class of matrix and tensor-valued features, which can be pre-trained using unlabeled samples. We present efficient algorithms for extracting discriminative information, given these pre-trained features an...

In a Machine Translation System (MTS), the number of possible analyses for a given sentence is largely dve to the ambiguous characteristics of the source language. In this paper, a mechanism, called "Score Function", is proposed for measuring the "quality" of the ambiguous syntax trees such that the one that best fits interpretation by human is selected. It is featured by incorporating the obje...