This abstract focuses on the significance of wireless body area networks (WBANs) as a cutting-edge and self-governing technology, which has garnered substantial attention from researchers. The central challenge faced by WBANs revolves around upholding quality of service (QoS) within rapidly evolving sectors like healthcare. The intricate task of managing diverse traffic types with limited resources further compounds this challenge. Particularly in medical WBANs, the prioritization of vital data is crucial to ensure prompt delivery of critical information. Given the stringent requirements of these systems, any data loss or delays are untenable, necessitating the implementation of intelligent algorithms. These algorithms play a pivota

Eight isolates of P. aeruginosa were obtained out of 90 water samples. The isolated colonies were identified based on their morphology and biochemical characteristics, were confirmed as P. aeruginosa by the API 20E test system.
The percentages of P. aeruginosa recovery in this study were 8.8.% All isolates were able to produce greenish blue pigment (pyocyanin). Pyocyanin at all concentrations was significantly increased the percentage of fragmented DNA of peripheral blood lymphocyte cells compared to control , results showed that DNA fragmentation percentage was higher in concentration 50 μg/ml (70%,74.3%) at 24 hr,48hr respectively. In summary, results of recent study demonstrate that the pyocyanin, induces apoptosis of human periph

   Bacteria form complex and highly elaborate surface adherent communities known as biofilms.Biofilm have been shown to be associated with several human diseases ,and to colonize a wide variety of medical devices . The current study focuses on contribution of extracted genomic   DNA in  biofilm formation by   P. aeruginosa and  K. pneumoniae isolates   .The percentages of Pseudomonas aeruginosa recovery from drinking water  in this study were  10%(20 positive P. aeruginosa  samples ) and K. pneumonia.,  7%(14 positive K. pneumonia samples).The results showed that all P.aeruginosa and K. pneumoniae isolates (100%) were slime producer but in different degrees by forming  of black

Toxoplasmosis is the most common, widespread disease in the world which is caused by Toxoplasma gondii.The objective of the current study is to determine the effect of the Toxoplasma gondii infection on male sperm, especially on the mitochondria of sperm for men who suffer infertility and the possibility of a hereditary mutation. Sixty seminal fluid and serum samples were taken from sub- fertile patients who attended Teba center for in vitro fertilization / Babylon and similarly samples were also obtained from healthy individuals as a control group, their ages ranged from 20 to 60 years old during the period from 1st may /2016 till 25th January/2017. All samples subjected to the tests included Macroscopic and microscopic examination, molecu

A large number of natural or synthetic dyes have been removed from both national and international lists of permitted food colors because of their mutagenic or carcinogenic activity. Therefore, this study aimed to use the Random Amplified Polymorphic DNA-Based Polymerase Chain Reaction (RAPD-PCR) assay as a feasible method to evaluate the ability of some food colors as genotoxin-induced DNA damage and mutations. Lactiplantibacillus plantarum was used as a bioindicator to determine the genotoxic effects by RAPD-PCR using M13 primer after treatment with some synthetic dyes currently used as food color additives, including Sunset Yellow, Carmoisine, and Tartrazine. Besides qualitative analysis, the bioinformatic GelJ software was used for clus

Brucellosis is one of the five common bacterial zoonoses in the world caused by
organisms belonging to the genus Brucella. Immune recognition of bacterial
infection may contribute to cytokine, as well as antibody production that are
characteristic of innate and adaptive responses. In this study, the presence of
attenuated live Brucella melitenses Rev1 bacteria or its DNA induced the immune
system to produce IFN-γ and anti-ds DNA antibody. In respect to IFN-γ released,
the B. melitensis Rev 1 attenuated live vaccine was able to stimulate the immune
system more than the DNA (P≤0.05). Such finding could be attributed to the whole
attenuated bacteria that have immunogenic factors other than the DNA like cell wall<

The designer must find the optimum match between the object's technical and economic needs and the performance and production requirements of the various material options when choosing material for an engineering application. This study proposes an integrated (hybrid) strategy for selecting the optimal material for an engineering design depending on design requirements. The primary objective is to determine the best candidate material for the drone wings based on Ashby's performance indices and then rank the result using a grey relational technique with the entropy weight method. Aluminum alloys, titanium alloys, composites, and wood have been suggested as suitable materials for manufacturing drone wings. The requirement

During COVID-19, wearing a mask was globally mandated in various workplaces, departments, and offices. New deep learning convolutional neural network (CNN) based classifications were proposed to increase the validation accuracy of face mask detection. This work introduces a face mask model that is able to recognize whether a person is wearing mask or not. The proposed model has two stages to detect and recognize the face mask; at the first stage, the Haar cascade detector is used to detect the face, while at the second stage, the proposed CNN model is used as a classification model that is built from scratch. The experiment was applied on masked faces (MAFA) dataset with images of 160x160 pixels size and RGB color. The model achieve

Learning the vocabulary of a language has great impact on acquiring that language. Many scholars in the field of language learning emphasize the importance of vocabulary as part of the learner's communicative competence, considering it the heart of language. One of the best methods of learning vocabulary is to focus on those words of high frequency. The present article is a corpus based approach to the study of vocabulary whereby the research data are analyzed quantitatively using the software program "AntWordprofiler". This program analyses new input research data in terms of already stored reliable corpora. The aim of this article is to find out whether the vocabularies used in the English textbook for Intermediate Schools in Iraq are con