Background: Obesity is a global health issue. Laparoscopic sleeve gastrectomy has progressively become the most popular procedure among the surgical community as a definitive bariatric operation. The increasing number of surgeries performed will be likely be followed by increasing reports of patients experiencing weight loss failure.
Objectives: To determine the effectiveness of conversion from laparoscopic sleeve gastrectomy to Roux-en-Y gastric bypass in cases with weight loss failure.
Patient &methods: The retrospective review of patients who had operated with laparoscopic sleeve gastrectomy from October 2009 to January 2016 at Saint Raphael hospital, 21 patients includ

Background:
To assess the feasibility and early results of non-surgical transcatheter closure of atrial septal detect (ASD) using the Ampiatzer septal Occluder (ASO).
Patients and Methods:
From June 2003 to June 2005, i75 patients with ASD secundum, age range 3- 65 years, female to male ratio of 3:2. were evaluated for transcatheter closure using ASO at Ibn Al-
Bitar Hospital for Cardiac Surgery. Transthoracic echocardiography was performed in al patients using standard suhxyphoid, apical, parasternal and suprasternal views. In all
patients, the procedure was done under general anesthesia.
Results:
Based on transesophageal echocardiography (TEE) Findings, 60 patients (33.7%) did not meet the crite

This paper sheds the light on the vital role that fractional ordinary differential equations(FrODEs) play in the mathematical modeling and in real life, particularly in the physical conditions. Furthermore, if the problem is handled directly by using numerical method, it is a far more powerful and efficient numerical method in terms of computational time, number of function evaluations, and precision. In this paper, we concentrate on the derivation of the direct numerical methods for solving fifth-order FrODEs  in one, two, and three stages. Additionally, it is important to note that the RKM-numerical methods with two- and three-stages for solving fifth-order ODEs are convenient, for solving class's fifth-order FrODEs. Numerical exa

The species of Opilio kakunini Snegovaya, Cokendolpher & Mozaffarian, 2018 was recorded for the first time in Iraq; as well as to four species belonging to this order which were recorded previously. In this paper, we added a new species to the checklist of Iraqi opilionid fauna with a description of the most important characteristics, along with genitalia, for both males and females are presented with digital photographs. Specimens of males and females were collected from Al- Rifai district northern of Dhi-Qar Province, southern of Iraq.
 

    In this paper, we present new algorithm for the solution of the second order nonlinear three-point boundary value problem with suitable multi boundary conditions. The algorithm is based on the semi-analytic technique and the solutions which are calculated in the form of a rapid convergent series. It is observed that the method gives more realistic series solution that converges very rapidly in physical problems. Illustrative examples are provided to demonstrate the efficiency and simplicity of the proposed method in solving this type of three point boundary value problems.

Wisconsin Breast Cancer Dataset (WBCD) was employed to show the performance of the Adaptive Resonance Theory (ART), specifically the supervised ART-I Artificial Neural Network (ANN), to build a breast cancer diagnosis smart system. It was fed with different learning parameters and sets. The best result was achieved when the model was trained with 50% of the data and tested with the remaining 50%. Classification accuracy was compared to other artificial intelligence algorithms, which included fuzzy classifier, MLP-ANN, and SVM. We achieved the highest accuracy with such low learning/testing ratio.

The region-based association analysis has been proposed to capture the collective behavior of sets of variants by testing the association of each set instead of individual variants with the disease. Such an analysis typically involves a list of unphased multiple-locus genotypes with potentially sparse frequencies in cases and controls. To tackle the problem of the sparse distribution, a two-stage approach was proposed in literature: In the first stage, haplotypes are computationally inferred from genotypes, followed by a haplotype coclassification. In the second stage, the association analysis is performed on the inferred haplotype groups. If a haplotype is unevenly distributed between the case and control samples, this haplotype is labeled