20 research outputs found

    Study on the effects of applying garlic (Allium sativum) and Zataria multiflora extracts on Aeromonas hydrophila in Persian sturgeon (Acipenser persicus) fingerling

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    In order to investigate the effect of ethanol extracts of garlic (Allium sativum) and Zataria multiflora on Aeromonas hydrophila bacteria Persian sturgeon (Acipenser persicus)took the kids to the isolation and identification of bacteria, the minimal inhibitory concentration (MIC) and minimal bactericidal concentration (MBC) of bacteria Aeromonas hydrophila by garlic (Allium sativum) and Zataria multiflora hydroalchoholic extracts to determine the lethal concentrations of hydroalchoholic extracts of garlic (Allium sativum) and Zataria multiflora hydroalchoholic extracts on Persian sturgeon (Acipenser persicus)children , and also to evaluate the efficacy and determine the effective doses of the bacterium Aeromonas hydrophila extracts of in vitro and in vivo were measured. Due to the absence of the Aeromonas hydrophila identification by molecular country in the study of bacteria isolated from sturgeon disease is suspected after detection by screening DNA extraction and molecular By toward action and results by NSBI Aeromonas hydrophila bacteria and Authentication Code NSBI was recorded in Gen Bank JX987090. Based on studies done in vitro (in vitro) in this study, the minimum inhibitory concentrations (MIC) Aeromonas hydrophila bacteria by extracts of garlic and thyme and arrange 1 mg/ml, 0.25mg/ml and the minimum bactericidal concentration (MBC) of bacteria Aeromonas hydrophila by the extracts, respectively, and 2mg/ml, 0.5mg/ml. Study on lethal concentration (LC50) of Zataria multiflora hydroalchoholic extract on fingerlings of Persian sturgeon showed that during 96h and 1h, the LC50 was 766.65 and 9933.44 mg/L, respectively. Also, LC50 of garlic extract during 96h and 1h was 1279.97 and 12624.08 mg/L, respectively. Investigation on white blood cells (WBC) showed significant difference in lymphocyte and neutrophil numbers in different treatments (P0.05). In this study, concentrations ranging from 400 to 1,000 mg/ml of hydroalchoholic extracts of Zataria multfor treating Persian sturgeon (Acipenser persicus) infected with the Aeromonas hydrophila by intraperitoneal injection were determined. Based on the results of the concentration of the extract to 800 mg/ml during shower hour was determined. Assay to determine the concentration of garlic extract on the bacteria in the Persian sturgeon (Acipenser persicus)concentration range of 600 to 1200 mg/ml determine the effective concentration of extract equivalent to 1,000 mg/ml during shower hour was calculated. Study on the pictures taken out from sections of gill, liver and kidny of Persian sturgeon fingerlings (Acipenser persicus) showed that in different doses of garlic (Allium sativum) and Zataria multiflora hydroalchoholic extracts the teretment grups were examined and some microscopic damages observed. They are hyperemia, adhesion in the gill filaments, cell necrosis, melanin pigments in gill primary filaments, cloudy swelling of hepatocytes, liver necrosis, hyperemia and increase in melanin pigments and melano macrophage centers in liver, glomerular changes such as congestion and blocked the dilation of Bowman's space, bleeding, cell necrosis, cloudy swelling of the in kidny

    Low incidence of SARS-CoV-2, risk factors of mortality and the course of illness in the French national cohort of dialysis patients

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    Novel genetic-based negative correlation learning for estimating soil temperature

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    A genetic-based neural network ensemble (GNNE) is applied for estimation of daily soil temperatures (DST) at distinct depths. A sequential genetic-based negative correlation learning algorithm (SGNCL) is adopted to train the GNNE parameters. CLMS algorithm is used to achieve the optimum weights of components. Recorded data for two different stations located in Iran are used for the development of the GNNE models. Furthermore, the GNNE predictions are compared with the existing machine-learning models. The results demonstrate that GNNE outperforms other methods for the prediction of DSTs

    Childhood physical abnormalities following paternal exposure to sulfur mustard gas in Iran: a case-control study

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    <p>Abstract</p> <p>Background</p> <p>Mustard gas, a known chemical weapon, was used during the Iran-Iraq war of 1980-1988. We aimed to determine if exposure to mustard gas among men was significantly associated with abnormalities and disorders among progenies.</p> <p>Methods</p> <p>Using a case-control design, we identified all progenies of Sardasht men (exposed group, n = 498), who were born at least nine months after the exposure, compared to age-matched controls in Rabat, a nearby city (non-exposed group, n = 689). We conducted a thorough medical history, physical examination, and appropriate paraclinical studies to detect any physical abnormality and/or disorder. Given the presence of correlated data, we applied Generalized Estimating Equation (GEE) multivariable models to determine associations.</p> <p>Results</p> <p>The overall frequency of detected physical abnormalities and disorders was significantly higher in the exposed group (19% vs. 11%, Odds Ratio [OR] 1.93, 95% Confidence Interval [CI], 1.37-2.72, P = 0.0002). This was consistent across sexes. Congenital anomalies (OR 3.54, 95% CI, 1.58-7.93, P = 0.002) and asthma (OR, 3.12, 95% CI, 1.43-6.80, P = 0.004) were most commonly associated with exposure. No single abnormality was associated with paternal exposure to mustard gas.</p> <p>Conclusion</p> <p>Our study demonstrates a generational effect of exposure to mustard gas. The lasting effects of mustard gas exposure in parents effects fertility and may impact child health and development in the long-term.</p
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