In this study, the potential combined effects of silver (AgNPs) and silicon dioxide nanoparticles (SiO2NPs) on male albino mice which were exposed intraperitoneally to the 50 mg/kg and 100 mg/kg and mixed concentrations of nanoparticles (NPs) for periods of 2 and 4 weeks, were evaluated. The evaluation was performed by examining the haematological and biochemical parameters, in addition to the bioaccumulation of NPs in the liver and kidney. The results showed that the platelets count significantly increased in all exposed groups, while red blood cell count (RBCs) decreased in most exposed groups. White blood cells (WBCs) and haemoglobin (Hb) showed different levels in the exposed groups. Serum aspartate aminotransferase (AST) and serum alanine aminotransferase (ALT) levels also showed a significant increase in the exposed groups, except in the groups exposed to 100 mg/kg of NPs for 2 weeks. Whereas blood urea nitrogen) BUN) serum level showed a significant decrease in all exposed groups. However, the alkaline phosphatase (ALP), uric acid (UA) and creatinine (CR) levels did not show any significant alternations in the exposed groups. Significant increase was also noted in thyroid-stimulating hormone (TSH) levels among the exposed groups. An accumulation of AgNPs and SiO2NPs was observed both in livers and kidneys in the exposed groups. The results showed that SiO2NPs have a synergistic effect on AgNPs accumulation in the groups exposed to mixed nanoparticles.
Data security is a significant requirement in our time. As a result of the rapid development of unsecured computer networks, the personal data should be protected from unauthorized persons and as a result of exposure AES algorithm is subjected to theoretical attacks such as linear attacks, differential attacks, and practical attacks such as brute force attack these types of attacks are mainly directed at the S-BOX and since the S-BOX table in the algorithm is static and no dynamic so this is a major weakness for the S-BOX table, the algorithm should be improved to be impervious to future dialects that attempt to analyse and break the algorithm in order to remove these weakness points, Will be generated dynamic substitution box (S-B
... Show MoreOffline Arabic handwritten recognition lies in a major field of challenge due to the changing styles of writing from one individual to another. It is difficult to recognize the Arabic handwritten because of the same appearance of the different characters. In this paper a proposed method for Offline Arabic handwritten recognition. The proposed method for recognition hand-written Arabic word without segmentation to sub letters based on feature extraction scale invariant feature transform (SIFT) and support vector machines (SVMs) to enhance the recognition accuracy. The proposed method experimented using (AHDB) database. The experiment result show (99.08) recognition rate.
A proposed feature extraction algorithm for handwriting Arabic words. The proposed method uses a 4 levels discrete wavelet transform (DWT) on binary image. sliding window on wavelet space and computes the stander derivation for each window. The extracted features were classified with multiple Support Vector Machine (SVM) classifiers. The proposed method simulated with a proposed data set from different writers. The experimental results of the simulation show 94.44% recognition rate.
Photodetector based on Rutile and Anatase TiO2 nanostructures/n-Si Heterojunction
KS Ismaeil, BR Jawad, Journal of Physical Education, 2023
The present study aims to identify the role of behavioral disorders (anxiety disorder, behavior disorder "behavior", confrontation and challenge disorder, aggressive behavior) in predicting bullying patterns (verbal, physical, electronic, school) in a sample of adolescents with autism spectrum disorder. For this purpose, the researcher developed scales to measure the behavioral disorders and the bullying patterns among adolescents with autism spectrum disorder. The researcher adopted the descriptive survey approach. The study sample consists of (80) adolescents with autism spectrum disorder with ages range from (15-19 years) and (45-53 years old) in association with israr association for people with special needs in the northern borders
... Show MoreAbstract
The phonetic replacement is the process of putting a sound or a linguistic
syllable instead of another in one word that results in changing its meaning . It is one
way of vocabulary varionsness and discrimination because replacement among the
sounds of one expression and changing its image lead to change its meaning , and
accordingly , each replaced sound has its own linguistic value that distinguishes it . In
other words , the phonetic replacement is based on system of phonemic change
which is a general phenomenon in all languages . The linguistic system doesn’t stand
straight for word unless it is based on different standards that work on variousness ,
assortment and relating the phonetic change wi
DBN Rashid, Talent Development & Excellence, 2020