Thirty pregnant albino mice with average body weight of 25-30gm and 8-14 weeks old were used to investigate the toxicity of the oral administration of anticancer methotrexate on kidneys after birth. Pregnant were received (single dose) of drug at different days of gestation and were divided into three groups (10mice / group), control groups were administered distilled water, the two remaining groups were administered by 2.5 and 7.5 mg/kg body weight of methotrexate. The changes in kidneys of newborns revealed significant (p<0.05) decrease in kidneys weights, kidneys lengths, pelvises lengths, and glomeruli diameters. The increase in concentration of methotrexate has increasing significant effect on kidneys of embryo and newborns.
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The ability of microorganisms to attach to living and non-living surfaces and create a biofilm is the cause of numerous long-lasting illnesses, as well as their strong resistance to drugs. Bacterial biofilms consist of intricate assemblies of immobile bacteria. These are located in an extracellular matrix and adhere to various surfaces for a long period. The present study evaluated the antibacterial effectiveness of Plantago major extract against Staphylococcus aureus biofilm. The specimens analyzed in this investigation were skin infections of clinical origin. The current study was not previously studied, particularly in terms of S. aureus biofilm breakdown and inhibition. The disc diffusion method was used to test the antimicrobial activi

The ability of microorganisms to attach to living and non-living surfaces and create a biofilm is the cause of numerous long-lasting illnesses, as well as their strong resistance to drugs. Bacterial biofilms consist of intricate assemblies of immobile bacteria. These are located in an extracellular matrix and adhere to various surfaces for a long period. The present study evaluated the antibacterial effectiveness of Plantago major extract against Staphylococcus aureus biofilm. The specimens analyzed in this investigation were skin infections of clinical origin. The current study was not previously studied, particularly in terms of S. aureus biofilm breakdown and inhibition. The disc diffusion method was used to test the antimicrobial activi

       Inhibitory effect  of  Lactobacillus plantarum was studied against Escherichia coli O157:H7 in  minced  beef , as well as the effect of some Spices ( Garlic , Cloves and Black Pepper ) was studied against this bacteria . Plate count method was used to estimate the viable cells of  E. coli O157:H7 in the treated meat samples for incubation periods( 0 , 24  and 48) h.   Results showed  that  Lactobacillus plantarum had inhibitory effect  against  E. coli O157:H7 , when reducing the number of cells after 24, 48 h., and reached to Zero after (24) h. As well as Spices in this study had inhibitory activity against  E. coli O157:H7 .Garlic had

Bacteriocins are antibacterial proteins created by bacteria and its effective against   other strains of bacteria which are closely linked to the producing strains and a number of species from the same family. The aim of current study was to evaluate the activity of   bacteriocin  that extracted from  clinical  isolates of Klebsiella pneumonia against different  species of enterobacteriaceae in both planktonic and biofilm state. The antibacterial activity of bacteriocins (klebocins) from Klebsiella pneumoniae isolates  towards diverse pathogenic species  from enterobacteriaceae (by  well assay method) was demonstrated , however   the antibiofilm activity a

In this research, a study is introduced on the effect of several environmental factors on the performance of an already constructed quality inspection system, which was designed using a transfer learning approach based on convolutional neural networks. The system comprised two sets of layers, transferred layers set from an already trained model (DenseNet121) and a custom classification layers set. It was designed to discriminate between damaged and undamaged helical gears according to the configuration of the gear regardless to its dimensions, and the model showed good performance discriminating between the two products at ideal conditions of high-resolution images.

So, this study aimed at testing the system performance at poor s

In this research, a study is introduced on the effect of several environmental factors on the performance of an already constructed quality inspection system, which was designed using a transfer learning approach based on convolutional neural networks. The system comprised two sets of layers, transferred layers set from an already trained model (DenseNet121) and a custom classification layers set. It was designed to discriminate between damaged and undamaged helical gears according to the configuration of the gear regardless to its dimensions, and the model showed good performance discriminating between the two products at ideal conditions of high-resolution images. So, this study aimed at testing the system performance at poo