Abstract The study aims to evaluate antifungal activity of petroleum ether extracts from leaves and stems of Rosmarinus officinalis and root of Glycerrhiza glabra , against fungi Fusarium oxysporium , Aspergillus flavus and Penicillium expansum. While the results of sensitivity of the fungi towards petroleum ether extracts showed different activity, petroleum ether extract of Rosmarinus officinalis showed more activity on Aspergillus flavus minimum inhibitory concentration(MIC) was 25 mg /ml and minimum fungicide concentration(MFC) was 37.5 mg /ml, followed by Fusarium oxysporium, (MIC) was 50 mg /ml and (MFC) was 37.5 mg /ml, finally Penicillium expansum (MIC) was 50 mg /ml and (MFC) was 75 mg /ml, used more concentration from petroleum ether extract Glycerrhiza glabra compared with petroleum ether extract of Rosmarinus officinalis and for the same study fungi, Aspergillus flavus was more sensitive, its growth inhibited by petroleum ether extract of Glycerrhiza glabra (MIC) was 100 mg /ml and (MFC) was 150 mg /ml, followed by Fusarium oxysporium (MIC) was 150 mg /ml and (MFC) was 200 mg /ml finally Penicillium expansum was less sensitive toward petroleum ether extract of Glycerrhiza glabra (MIC) was 200 mg /ml and (MFC) was 250 mg/ml. Analysis of petroleum ether extracts from leaves and stems from Rosmarinus officinalis and root from Glycerrhiza glabra was carried out to determine its contents from terpenoid compounds and flavones
In linear regression, an outlier is an observation with large residual. In other words, it is an observation whose dependent-variable value is unusual given its values on the predictor variables. An outlier observation may indicate a data entry error or other problem.
An observation with an extreme value on a predictor variable is a point with high leverage. Leverage is a measure of how far an independent variable deviates from its mean. These leverage points can have an effect on the estimate of regression coefficients.
Robust estimation for regression parameters deals with cases that have very high leverage, and cases that are outliers. Robust estimation is essentially a
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Total resistance training (TRX) is a new technique for resistance training using body weight, and gives the body movement at more than one angle compared to regular dumbbell training or weight training, in addition to reducing the risk of injury, developing strength, balance, and flexibility. It has an effective effect in developing functional muscle balance and can be combined with... Basic exercises to increase their effectiveness, and the two researchers noticed, after reviewing previous studies and following the game, that they noticed the lack of use of TRX exercises among the teams, and this was confirmed after the personal appetizers that the two researchers conducted with the volleyball coaches, which does not allow diversification
... Show More:يمتاز مرض قصور الدرقية بإنخفاض مستوى هرمونات T3و T4الضرورية لعمليات إنتاج الطاقة و حيوية الجسم ؛ لذلك ترافق هذه الحالة إضطرابات في عمليات الأيض المختلفة في الجسم . أجريت الدراسة في المركز التخصصي للغدد الصم و السكري في بغداد ، و شملت 70ًاضيرممن مرضى قصور الدرقية ، تم تشخيص الحالة لديهم عن طريق قياس مستويات الهرمونات (TSH,T4,T3). كما شملت 60اوريتخأًاصخشبشكل عشوائي من غير مرضى الغدة ، و قد تم التأكد من سلامة الغدة وعدم
... Show Moreإن الأبحاث العلمية كانت و لا تزال تحضا باهتمام الكثير من العلماء و المختصين في مجال التربية الرياضية بشكل عام و الجمناستك بشكل خاص لإيجاد أحدث الوسائل و الأدوات التي تساعد على سهولة توصيل المعلومات إلى المتعلمين و بدرجة عالية من الكفاءة, إذ يمكن للمتعلم الاستعانة بوسائل تعليمية عديدة منها القراءات المختلفة و المواد المبرمجة أو الأفلام و الوسائل السمعية و البصرية و ما إلى ذلك, فالمعلم الذي يستخدم هذه الوسائل
... Show MoreJournal of Studies and Researches of Sport Education
The repeated measurement design is called a complete randomized block design for repeated measurement when the subject is given the all different treatments , in this case the subject is considered as a block . Many of nonparametric methods were considered like Friedman test (1937) and Koch test(1969) and Kepner&Robinson test(1988) when the assumption of normal distribution of the data is not satisfied .as well as F test when the assumptions of the analysis of variance is satisfied ,where the observations within blocks are assumed to be equally correlated . The purpose of this paper is to summarize the result of the simulation study for comparing these methods as well as present the suggested
Me
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