Objectives : The study aims to assessing nurses’ knowledge concerning peritonitis- dialysis association at the
peritoneal dialysis units, and to identifying the relationship between some nurses’ knowledge and some of their
demographic characteristic.
Methodology : A descriptive study was carried out at the peritoneal dialysis units in Baghdad Teaching
Hospitals started from November 29th 2004 to August 15th, 2005. A purposive sample of (52) nurses was
selected from Baghdad Teaching Hospitals. The data were collected through the use of constructed
questionnaire, which comprised of (97) items as an interview questionnaire technique as mean of data
collection. The reliability of the instrument was determined through

Finger vein recognition and user identification is a relatively recent biometric recognition technology with a broad variety of applications, and biometric authentication is extensively employed in the information age. As one of the most essential authentication technologies available today, finger vein recognition captures our attention owing to its high level of security, dependability, and track record of performance. Embedded convolutional neural networks are based on the early or intermediate fusing of input. In early fusion, pictures are categorized according to their location in the input space. In this study, we employ a highly optimized network and late fusion rather than early fusion to create a Fusion convolutional neural network

Vascular patterns were seen to be a probable identification characteristic of the biometric system. Since then, many studies have investigated and proposed different techniques which exploited this feature and used it for the identification and verification purposes. The conventional biometric features like the iris, fingerprints and face recognition have been thoroughly investigated, however, during the past few years, finger vein patterns have been recognized as a reliable biometric feature. This study discusses the application of the vein biometric system. Though the vein pattern can be a very appealing topic of research, there are many challenges in this field and some improvements need to be carried out. Here, the researchers reviewed

Background:

Background: Factor V Leiden mutation is the most common cause of hereditary thrombophilia . this mutation was found to be highly prevalent in the Eastern Mediterranean region , with recently reported prevalence of 3% in random Iraqi blood donors.
Aim of study: to document the case reports of factor V leiden in association with venous thrombosis in Iraqi patients.
Sub. & Methods: Six patients with Doppler confirmed Deep Venous thrombosis attending the Medical City Hospital were evaluated haemostatically and by PCR for the presence of factor Vleiden mutation. The patients had ages ranging between 22-60 years , and included 5 females and one male.
Results: Four were found to be heterozygous, while two were homozygous for this m

Background: urethrocutaneous fistula after hypospadias surgery repair is the most common complication and remains a frustrating problem for surgeon and the patient. The problem is exacerbated because the urethrocutaneous fistula may recur which adds more demands surgery. Objectives: The purpose of this study is to evaluate of the use of oral mucosal graft for management of recurrent urethrocutaneous fistula after hypospadias repair. Patients and Methods: twelfth patients with age ranging from 4 year to 15 years were presented with history of recurrent fistula. Most of fistula were located in proximal penile and penoscrotal region (58.3%) . those patients were repaired by using oral mucosal graft with mean postoperative follow up period up t

The aim: In this study, we present and evaluate the vest-over-pants technique as a simple way to correct urethrocutaneous fistulas after hypospadias. Materials and methods: Between October 2018 and June 2020, twenty male patients aged 5 to 20 years came to us with post hypospadias repair fistula, these patients underwent vest-over-pant repair of their fistula. The size of fistula was ranging between 2.5-5 mm. The distribution of fistula was coronal (3 patients), distal penile (9 patients), midshaft (2 patients) and proximal penile (6 patients). In 14 patients there were single fistula and 6 patients had more than one fistula. Eleven of patients were exposed to a previous failed fistula repair procedure. Results: Six months after the operati

Background: Peritoneal dialysis (PD) is the preferred and convenient treatment modality for acute renal failure (ARF) in children and hemodynamically unstable patients, because of its inherent advantages: technique can be initiated simply and quickly, no highly trained personnel nor expensive and complex apparatus are required and systemic anticoagulation is not needed.
Objectives: is to highlight the role of peritoneal dialysis in management of children with acute renal failure and to determined its complications.
Patients and methods: A retrospective study was carried out from 20th April 2012 till1st May 2014 ,on children with acute renal failure admitted to nephrology unit in Child Welfare Teaching Hospi

Survival analysis is one of the types of data analysis that describes the time period until the occurrence of an event of interest such as death or other events of importance in determining what will happen to the phenomenon studied. There may be more than one endpoint for the event, in which case it is called Competing risks. The purpose of this research is to apply the dynamic approach in the analysis of discrete survival time in order to estimate the effect of covariates over time, as well as modeling the nonlinear relationship between the covariates and the discrete hazard function through the use of the multinomial logistic model and the multivariate Cox model. For the purpose of conducting the estimation process for both the discrete

Palm vein recognition technology is a one of the most effective biometric technologies for personal identification. Palm acquisition techniques are either contact-based or contactless-based. The contactless-based palm vein system is considered more accurate and efficient when used in modern applications, but it may suffer from problems like pose variations and the delay in the matching process. This paper proposes a contactless-based identification system for palm vein that involves two main steps; First, the central region of the palm is cropped using fast extract region of interest algorithm, then the features are extracted and classified using altered structure of Residual Attention Network, which is a developed version of convolution