Minia University

About: Minia University is a education organization based out in Minya, Egypt. It is known for research contribution in the topics: Population & Medicine. The organization has 4967 authors who have published 8986 publications receiving 108384 citations.

An innovative approach for feature selection based on chicken swarm optimization

Abstract: In this paper, a system for feature selection based on chicken swarm optimization (CSO) algorithm is proposed. Datasets ordinarily includes a huge number of attributes, with irrelevant and redundant attribute. Commonly wrapper-based approaches are used for feature selection but it always requires an intelligent search technique as part of the evaluation function. Chicken swarm optimization (CSO)is a new bio-inspired algorithm mimicking the hierarchal order of the chicken swarm and the behaviors of chicken swarm, including roosters, hens and chicks, CSO can efficiently extract the chickens' swarm intelligence to optimize problems. Therefore, CSO was employed to feature selection in wrapper mode to search the feature space for optimal feature combination maximizing classification performance, while minimizing the number of selected features. The proposed system was benchmarked on 18 datasets drawn from the UCI repository and using different evaluation criteria and proves advance over particle swarm optimization (PSO) and genetic algorithms (GA) that commonly used in optimization problems.

Subtyping of Blastocystis sp. isolated from symptomatic and asymptomatic individuals in Makkah, Saudi Arabia.

Abstract: Blastocystis is a group of cosmopolitan gastrointestinal parasite of humans and a wide variety of animals. These anaerobic protozoans include more than 17 specific small-subunit ribosomal RNA subtypes, of which nine are found in humans with a variable geographical distribution. Until now, no study has described the Blastocystis subtypes present in Saudi Arabia. In total, 1,262 faecal samples were collected from patients with gastrointestinal complaints and asymptomatic individuals visiting two major hospitals. All samples were analysed by F1/R1 diagnostic PCR, microscopy and culture methods. The subtypes of Blastocystis sp. isolates were determined by the sequenced-tagged site (STS)-based method. One-hundred-thirty-three positive cases were detected by F1/R1 diagnostic PCR, of which 122 were also positive by the culture method and 83 by direct microscopy. The sensitivities of direct microscopy and the culture method were 62% and 92%, respectively. Subtype (ST3) was the most prevalent (80.5%), followed by ST1 (14.5%) and ST2 (5%). ST4, ST5, ST6 and ST7 were not detected in this study. ST3 infections were significantly predominant (P < 0.05) among symptomatic patients. To our knowledge, this study provides the first run-through information on Blastocystis sp. epidemiology in Makkah city, revealing a rather moderate prevalence of 10.5% and the presence of three subtypes, ST1, ST2, and ST3. ST3 was the most predominant, particularly among symptomatic patients.

Determinants of problematic internet use among el-minia high school students, egypt.

Abstract: BACKGROUND Problematic Internet Use (PIU) is a growing problem in Egyptian adolescents. This study was designed to assess the prevalence of PIU among high school students in El-Minia Governorate and to determine the personal, clinical, and social characteristics of them. METHODS A cross-sectional study was applied among a random sample of high school students in El-Minia Governorate. PIU was assessed by the 20-item Young Internet Addiction Test (YIAT). Information was also collected on demographics, dietary, and health-related factors. STATISTICAL ANALYSIS USED Statistical Package for Social Sciences (SPSS-16) software was used. Chi-square test (X (2)), Fisher's Exact Test, and one-way analysis of variance (ANOVA) were used whenever, applicable. Multinomial logistic regression analyses were also applied in order to calculate the odds ratios (OR). RESULTS Of the 605 students, 16 (2.6%) were Problematic Internet Users (PIUs), 110 (18.2%) were Potential (PIUs). Adolescents with PIU were associated with male gender, poor friends' relations, bad family relations, irregular bedtime, and bad personal hygiene. PIUs were more likely to suffer from physical symptoms; weight gain, joint stiffness, lack of physical energy, and emotional symptoms. CONCLUSIONS The prevalence of PIU reported in this study is low, however, the Potential PIUs was high and preventative measures are recommended.

FiVaTech: Page-Level Web Data Extraction from Template Pages

Abstract: In this paper, we proposed a new approach, called FiVaTech for the problem of Web data extraction. FiVaTech is a page-level data extraction system which deduces the data schema and templates for the input pages generated from a CGI program. FiVaTech uses tree templates to model the generation of dynamic Web pages. FiVaTech can deduce the schema and templates for each individual Deep Web site, which contains either singleton or multiple data records in one Web page. FiVaTech applies tree matching, tree alignment, and mining techniques to achieve the challenging task. The experiments show an encouraging result for the test pages used in many state-of-the-art Web data extraction works.