The aqueous and methanol extracts of Salvia officinals and Salix acmoplylla traditionally used for the treatment of infections disease were tested for their active against gram positive and gram negative bacteria isolated from wound infection culture using the broth dilution and disc diffusion melhod. Results of this study revealed the prescence of phytochemical which were active against gram positive and negative bacteria. Methanol extracts of both plants showed the highest activity other the aqueous extract. The minimum inhibitory concentration (MIC) of the aqueous extracts on the test organism was 25- 100 mg\ml,while that of the methanol extract was ranged between 25 -50 mg\ml on the test organisms, the minimum bacterial concentration (MBC) ranging between 25-100 mg\ml for methanol extract , and 25-200 mg\ml for aqueous extracts. The highest activity at 100 and 121 oC was demonstrated by the methanol extracts of Salix acmophylla against Staphylococcus aureus and Klebsiella spp. While in methanol extracts of Salvia officinalis the 45 oC was the effective temperature. In this study plants extracts against gram negative bacteria showed activity in acidic pH only in contrast of gram positive bacteria which were constant in all plants extract . Salvia officinalis contained essential elements at higher levels than Salix acmoplylla .Ca and Zn were present of high levels in Salix acmoplylla than other. The results of this study suggest the possibility of using the methanolic extracts of these plants in treating diseases caused by the test organisms, especially when prepared at acidic pH.
نحو تعزيز المشاركة السياسية للطالبات الجامعيات الفلسطينيات
Abstract
Objective(s): To determine the interventional program effectiveness on nurses' practices concerning diet instructions for orthopedic patients treated by internal fixation devices.
Methodology: A quantitative approach using prexperimental design is conducted to determine the effectiveness of an interventional program on nurses’ practices regarding orthopedic patients diet instruction and teaching after internal fixation implemented. The study has started from 1st of April 2022 and ended on 15th of December, 2022. The conduction of the study in Misan governorate / Al-Zaharawy surgical hospital. A non-probability, purpo
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This paper presents the implementation of a complex fractional order proportional integral derivative (CPID) and a real fractional order PID (RPID) controllers. The analysis and design of both controllers were carried out in a previous work done by the author, where the design specifications were classified into easy (case 1) and hard (case 2) design specifications. The main contribution of this paper is combining CRONE approximation and linear phase CRONE approximation to implement the CPID controller. The designed controllers-RPID and CPID-are implemented to control flowing water with low pressure circuit, which is a first order plus dead time system. Simulation results demonstrate that while the implemented RPID controller fails to stabi
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Abstract: Aluminum alloys grade 6061-T6 are characterized by their excellent properties and processing characteristics which make them ideal for varieties of industrial applications under cyclic loading, aluminum alloys show less fatigue life than steel alloys of similar strength. In the current study, a nanosecond fiber laser of maximum pulse energy up to 9.9 mJ was used to apply laser shock peening process (LSP) on aluminum thin sheets to introduce residual stresses in order to enhance fatigue life under cyclic loading Box-Behnken design (BBD) based on the design of experiments (DOE) was employed in this study for experimental design data analysis, model building and optimization The effect of working parameters spot size (ω), scannin
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The paper present design of a control structure that enables integration of a Kinematic neural controller for trajectory tracking of a nonholonomic differential two wheeled mobile robot, then proposes a Kinematic neural controller to direct a National Instrument mobile robot (NI Mobile Robot). The controller is to make the actual velocity of the wheeled mobile robot close the required velocity by guarantees that the trajectory tracking mean squire error converges at minimum tracking error. The proposed tracking control system consists of two layers; The first layer is a multi-layer perceptron neural network system that controls the mobile robot to track the required path , The second layer is an optimization layer ,which is impleme
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