The present study aimed to try to find natural substances stimulate the production of bacteriocin, as well as "for detection of bacteriocin producing isolates. Two hundred and eighty ( 280) bacterial isolates, gram negative only, were collected from 760 different pathogenic samples, consist: (Urinary tract infection, septicemia, Vaginal inflammation and diarrhea). The isolated bacteria are: Escherichia coli, Klebsiella pneumonia Pseudomonas aeruginosa,, Salmonella typhi, Enterobacter cloacae, Acinetobacter baumannii, Serratia liquefaciens, Citrobacter freundii, Proteus mirabilis and Serrattia odorifera. Cup assay method was used to detect bacteriocin production. Locally media prepared ( Nutriernt agar + Brassica rapa roots extract ) to detect bacterial bacteriocin production, compared with ( N. agar ) only. The results showed, the percentage of bacteria production of bacteriocin were (28.57%)/(80) isolates only on N. agar, while the ratio reached to (82.5%)/ (231) isolates by local media.Also this media gave (45 mm) in dimeter of inhibition zone in E. coli. Brassica rapa roots extract was used to stimulate bacteriocin production compared with mitomycin-c (Mt-c ) in five isolates of the E. coli. It was found the extract emulate Mt-, in dimeter of inhibition zone , protein concentration and activity. But it was better than Mt-c in some isolates.
The meniscus has a crucial function in human anatomy, and Magnetic Resonance Imaging (M.R.I.) plays an essential role in meniscus assessment. It is difficult to identify cartilage lesions using typical image processing approaches because the M.R.I. data is so diverse. An M.R.I. data sequence comprises numerous images, and the attributes area we are searching for may differ from each image in the series. Therefore, feature extraction gets more complicated, hence specifically, traditional image processing becomes very complex. In traditional image processing, a human tells a computer what should be there, but a deep learning (D.L.) algorithm extracts the features of what is already there automatically. The surface changes become valuable when
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Background: The diagnosis of prostatic pathology may be of challenging , as some difficult and suspected, atypical cases may lack basal cell layer by routine H&E sections . Antibodies against 34BE12(HMW-CK) and p63 aid the diagnosis of such cases , to distinguish benign from malignant prostatic lesions.
Objective: to identify basal cells in atypical prostatic lesions ,and distinguish benign from malignant prostatic lesions.
Type of the study: A retro-spective study.
Methods: 115cases of paraffin embedded prostatic tissue blocks ,diagnosed as : 76 cases were benign prostatic hy
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According to the extraction procedure , Eucalyptus incrassata leave sample yielded 5% and 2% w/w(Based on dry leaves ) of the aqueous extract and essential oils respectively. Disk diffusion method was used to determine the antimicrobial activity of aqueous extract and essential oils of E . incrassata leaves against eight isolates of multidrug- resistant of Staphylococcus aureus ( S. aureus) . It was found that aqueous extract and essential oils have variable antimicrobial activity(the inhibition zone diameter ranged from 7 to 14 mm respectively ) , while essential oils showed more effect than aqueous extract . It was noticed that values of Minimal Inhibitory Concentration ( MIC ) for
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Ethanol production were evaluated by many strains with varing
degree of flocculation in fermentation medium of date extract withl 0
Brix, PHS in 30C0آ آ for آ 48hr.lt was found that ethanol production decrease with increase of flocculation degree and non-flocculant strain is آ more efficient in آ producing ethanol from flocculant strain,then
ethanol sensitivity were examined for the same strains, in liquid medium YE, it was found thatآ آ strain is more sensitive from nonآ flocculant and ethanol sensitivity depends upon flocculation degree.
Bacteria could produce bacterial nanocellulose through a procedure steps: polymerization and crystallization, that occur in the cytoplasm of the bacteria, the residues of glucose polymerize to (β-1,4) lineal glucan chains that produced from bacterial cell extracellularly, these lineal glucan are converted to microfbrils, after that these microfbrils collected together to shape very pure three dimensional pored net. It could be obtained a pure cellulose that created by some M.O, from the one of the active producer organism like Acetic acid bacteria (AAB), that it is a gram -ve, motile and live in aerobic condition. The bacterial nanocellulose (BNC) have great consideration in many fields because of its flexible properties, features
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Optimization procedures using a variety of input parameters have gotten a lot of attention, but using three non-edible seed oils of Jatropha (Jatropha curcas), Sesame (Sesamum indicum), and Sweet Almond (Prunusamygdalus dulcis) has a few advantages, including availability and non-food competitiveness. Optimizing a two-stage trans-esterification process using a sodium hydroxide-based catalyst at a fixed catalyst (1.0wt %) and temperature (60 oC) while varying molar ratio (1:3, 1:6, 1:12), time (20–60 min), and mixing speed (500–1000 rpm), to produce optimal responses of yields were studied using response surface methodology (RSM). The optimization solution of molar ratio (1:3), time (40.9 min.),
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