Abstract

Objective / Purpose: Online social relationships through the emergence of Web 2.0 applications have become a new trend for researchers to study the behavior of consumers to shop online, as well as social networking sites are technologies that opened up opportunities for new business models. Therefore, a new trend has emerged, called social trade technology. In order to understand the behavioral intentions of the beneficiaries to adopt the technology of social trade, the current research aims at developing an electronic readiness framework and UTAUT model to understand the beneficiary's adoption of social trade technology.

Design/ methodology/ Approach: To achieve the obje

Contents IJPAM: Volume 116, No. 3 (2017)

This study was conducted in Wasit governorate for the period between February 2012 to February 2013 to determine the impact of Castor seed oil at different concentrations 100, 75, 50 and 25% in inhibition of the growth of E. coli isolated from 52 male and female patients (2-70 yrs) attending Al Zahra Hospital and Al Karama Hospital in Kut city. Oil was extracted from seeds of Castor had the ability to inhibit E. coli isolated from patients presented with recurrent urinary tract infections . Zone of inhibition accomplishing was 9.06 mm in diameter.HPLC analysis revealed that the content of α-linolenic in Castor seed oil (18.90 μg\ml) was higher than other fatty acids followed by oleic. Perhaps this is why it able to inhibit E. coli; whi

    In data mining and machine learning methods, it is traditionally assumed that training data, test data, and the data that will be processed in the future, should have the same feature space distribution. This is a condition that will not happen in the real world. In order to overcome this challenge, domain adaptation-based methods are used. One of the existing challenges in domain adaptation-based methods is to select the most efficient features so that they can also show the most efficiency in the destination database. In this paper, a new feature selection method based on deep reinforcement learning is proposed. In the proposed method, in order to select the best and most appropriate features, the essential policies

The e-commerce is one of the best achievements of the twentieth century, since the conduct commercial transactions via the Internet may be the consumer easy selection process and purchase convenient manner different from traditional methods, and with the beginnings of the new millennium impose the emergence of e-commerce term significant challenges to the insurance industry as an important economic sectors Generally, and insurance companies in particular as a result of scientific development, which has led to a reduction in costs and innovation in the production, which led to intense competition on both levels local or global. The insurance industry is a vital part of the economy and it has a varied impact to the community and individual

Hepatitis E (HE) is an inflammation of the liver caused by hepatitis E virus
(HEV) infection. Iraq is one of the Asian countries with high incidence and
prevalence of hepatitis. In this paper, HE prevalence will be determined in Al-
Muthanna province /Iraq. Commercially available Micro-ELISA for marker of
hepatitis E (HEV IgM, Foresight, USA) kit was used to test (270) patients for HEV
IgMantibodies. Also (10) blood samples from normal healthy individuals were used
as normal control in this study. Among the (270) analyzed serum samples, a total of
(72) samples (26.66 %) were found to be positive for anti-HEV IgM antibodies, and
all these patients were tested for confirmatory test at central public health
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