Capacity Building of Females Governmental Secondary School Teachers in Abha City For Crises Management & First Aid

Background: A crisis is a temporary emotional condition wherein one’s usual coping mechanisms have failed in the face of a perceived challenge or threat. First aid is the assessments and interventions that can be performed by a bystander immediately with minimal or no medical equipments. High school students and teachers lack knowledge regarding the appropriate first aid action to be taken for injuries and common illnesses. Various incorrect practices and myths associated with illnesses and injuries have been reported among students and their teachers. Capacity building is one of the WHO Strategies for improving disaster preparedness for school students and teachers. The aim of this study is to develop the capacity building of female governmental secondary school teachers on how to deal with crises management and first aid. Design: A Quasi experimental Design was used; one group pretest–Post Test Design. Setting: A stratified random sample was used to select secondary schools in Abha. Subjects: A random sample of 100 secondary school teachers was chosen from the selected setting in Abha. Instrumentation: Two structured formats were used to collect data pertinent to the study. The first was a pre/post interviewing questionnaire, and the second was a pre/post observational checklist. Results: 1. the studied sample had higher mean score at post test in relation to knowledge of first aid items. (2. The studied sample had higher satisfactory level of clinical mean score at post test in relation to clinical first aid items and also in relation to mean total clinical score. The studied sample had satisfactory and higher mean score at post test in relation to crisis management items and also in relation to mean total knowledge score. Conclusion: The health education and training program were succeeded to improve the knowledge and skills of school teachers in first aid and dealing with wounds, , burns, shock, bleeding, CPR and fractures and dealing with crisis management.  This improvement was proved statistically. Recommendations: Nurses should highlight the need for disaster safety education; it is evident that disaster has significant impact on school students. The implementation of the health education and training program designed by researchers in similar settings to improve the knowledge and skills of school teachers in first aid and dealing with wounds, burns, shock, bleeding, CPR and fractures and dealing with crisis management. Keywords: Capacity Building, Crises Management, First Ai

Estimation of nitrogen use efficiency by mango seedlings under nano and convention calcium fertilization using the enriched stable isotope (N-15)

This study aimed to investigate the effect of nano-Ca fertilizer on nitrogen uptake, nitrogen use efficiency and determine the best calcium form and dose for mango.  A pot experiment was conducted using two year old mango seedlings (cv. Zebda). The pots were filled with sandy soil (8 kg per pot) and one seedling was transplanted into each pot. Four treatments including nano-Ca, convention Ca, soil application and foliar application have been formulated. Calcium was applied as CaO for both the convention and nanoforms. The enriched (15NH4)2SO4 was applied at a rate of (5g per pot). Plants were harvested at the end of the fall, spring, and summer growth cycles and dried at 70 oC. The dried plant is used for making fine powder and to determine total nitrogen, calcium, and %15N atom excess. Results of the study revealed that in all growth cycles, the 15N translocation was higher under foliar nano-Ca treatment than under convention Ca at a 100% rate. The highest uptake, translocation, and nitrogen use efficiency were observed at 50% (250 mg. L-1) foliar nano-Ca treatment in all cycles. In the Fall growth cycle, the values for nitrogen fertilizer use efficiency at 50% nano-Ca rate was 81.8%, while it recorded 64.9% for 25% rate and 51.2% for 100% rate.  Calcium concentration, in shoot and roots, was also higher under nano-calcium (for fall cycle = 3.0 for the shoot and 2.8 for root) than the convention calcium (for fall cycle = 2.7% for the shoot and 2.2 for root) for all cycles. The summer growth cycle recorded the highest total biomass under all treatments compared with the fall or spring growth cycles. Allocation of biomass to the shoot was also reported higher under nano-Ca foliar application than that of soil application in all cycles. The best treatment is 50% (250 mg.L-1) foliar nano-Ca as it resulted in the highest N-15 uptake, translocation, and nitrogen use efficiency. Nano calcium proves to be more efficient as fertilizer than conventional calcium

Effect of Blended Learning Approach on Student Nurses’ Attitudes and Academic Achievement

Although  various blended approaches that integrate online components into traditional classes continue to grow rapidly, they still remain at an early stage of development. Consequently, developers and deliverers of online learning need more understanding of how students perceive and react to elements of e-learning (since student perception and attitude is critical to motivation and learning) along with how to apply these approaches most effectively to enhance learning. The Aim: aim of the current study was to examine the effect of blended learning  approach on student nurses’ attitudes and academic achievement in Medical Surgical Nursing course compared to traditional teaching method modules. Setting: A The sample consisted of 62 female students their age range from 19 to 20 years at 5th., level  recruited from 5th., level in faculty of nursing, King Khaled University   Tools: 3  tools used to collect data for the study: 1. student attitude scale toward blended learning approach 2.A Constructed Motivational Scale. and The Achievement Test, they are developed by the researchers. Results: The study findings revealed that,  the Study Group subjects (blended learning Group ) had higher Mean Of attitude  Subscales And Total Scores, achievement test Scores, and Mean Of Motivational Subscales And Total Scores than  Control Group (traditional), in addition, there were  statistically significant differences were found between the two groups in relation to previously mentioned variables. Therefore, this study recommended an educational programs for academic staff for teaching using  blended learning approach. Keywords: E-learning, Online learning, traditional, Attitudes, Blended Learning, Academic Achievement

Impact Factors on Subcontractor's Cash Flow Management

Objective: This study aims to define how to maintain and protect the subcontractor firms' cash flow from economic fluctuation through legally sustainable solutions. Methods/Analysis: We conducted a case study in the Eastern Delta Region of Egypt. A questionnaire containing a list of 22 impact factors on subcontractors' cash flow was distributed across multiple subcontractor firms with an 82% response rate. It was designed to explore the factors causing cash flow instability and analyze them using SPSS statistics. Findings: The study finds that inflation, late payments, non-compensation for late payments, poor subcontractor cash flow management, subcontractor firms' inclination to avoid disputes, material price fluctuation, and non-compensation terms, as well as suppliers rejection of payment delays, are the most critical factors of subcontractor cash flow problems. Novelty/Improvement:The study suggests adding three sub-articles to Article 57 in "Tender Law" as legally sustainable solutions to protect and maintain the firm's growth rate from inflation, late payment, and the inclination to avoid disputes. Also, the study recommends that the owner ensure that cash is available before procuring the general contractors, as stated in Egyptian Law 182 of 2018. This study will contribute to establishing a sustainable win-win relationship between subcontractors and general contractors. Doi: 10.28991/CEJ-SP2023-09-08 Full Text: PD

Proton-nucleus elastic scattering and the equation of state of nuclear matter

We calculate differential cross sections for proton-nucleus elastic scattering by using a Glauber theory in the optical limit approximation and nucleon distributions that can be obtained in the framework of macroscopic nuclear models in a way dependent on the equation of state of uniform nuclear matter near the saturation density. We find that the peak angle calculated for unstable neutron-rich nuclei in the small momentum transfer regime increases as the parameter L characterizing the density dependence of the symmetry energy decreases. This is a feature associated with the L dependence of the predicted matter radii.Comment: 11 pages, 3 figures, to be published in Phys. Lett.

Endogenous IFNγ in chronic HCV genotype 4 patients treated with PEG-IFNα and ribavirin

Introduction: Hepatitis C virus (HCV) infections remain an increasingly prevalent and emergent health problem worldwide, causing a wide spectrum of liver diseases. Combination therapy with pegylated interferon (PEG-IFN) of peginterferon alfa-2a and oral ribavirinis currently recognized as the standard treatment of chronic HCV infection. Several complex immunological mechanisms are involved during the course of HCV treatment using interferons. The role of endogenous interferon gamma (IFNγ) in Egyptian patients infected with chronic HCV and treated with PEG-IFN/ribavirin is uncertain. The goal of this study was to evaluate the association of IFNγ and chronic HCV infection among patients treated with combination therapy of PEG-IFN/ribavirin. Methodology: Samples from 20 patients infected with HCV genotype-4 (HCV-4) and 20 non-infected individuals as healthy controls were used in this retrospective study. IFNγ levels in peripheral blood monocytes were analyzed, along with liver enzyme alanine aminotransferase (ALT) levels, and single nucleotide polymorphism (SNP) of the myxovirus resistance-A (MxA) gene. Results: The results showed that an increase of IFNγ and a decrease of ALT levels in chronic HCV-infected patients after 12 weeks of treatment with combination therapy. Conclusion: Enhanced IFNγ secretion and decreased liver enzyme ALT production are indicative of HCV clearance and improvement of liver function. In addition, the SNP of the MxA gene is an important host genetic factor that independently influenced the response to IFNα in patients with chronic HCV infection, especially in those with a low viral load

RANKL EXPRESSION AND METABOLIC CHANGES IN OVARIECTOMIZED RATS AND THE POSSIBLE PROTECTION BY VEGETABLE FORMULA.

 Objective: This study was to evaluate complications of osteoporosis in ovariectomized rats and the possibility to ameliorate these changes by consumption of vegetable formula. Furthermore, transcription of mRNA of RANKL gene was matched with bone mass density (BMD) and bone formation marker (human procollagen 1 N terminal peptide [PINP]).Methods: Thirty rats were divided into three groups. The first is non ovariectomized control group (NOVXC), the second is ovariectomized control group (OVXC), and the third is ovariectomized rats supplemented with the vegetable formula (OVXT). Animals were fed for 8 successive weeks. Animals were treated and sacrificed under the recommended ethics of laboratory animal's treatment. The vegetable mixture was formulated with the purpose to correct the bone compromise and supply all the presumed deficient elements and hormone.Results: Chemical analysis showed that the formulated vegetable mixture had a high amount of flavonoids as catechin (100 mg/100 g of dry weight) and polyphenols as tannic acid (1000 mg/100 g dry weight. Furthermore, it had high reducing power (1,1-diphenyl-2-picrylhydrazyl radical showed inhibition percentage of 91.81%.). Several phytochemicals necessary for bone health were demonstrated in the vegetable mixture using high-performance liquid chromatography. RANKL/GAPDH mRNA transcription ratio showed marked an increase in OVXC versus the control NOVXC rats (1.00 vs. 0.199, respectively) accompanied with a drop in BMD (0.157 vs. 0.25 mg/cm2, respectively) and PINP values (27.9±2.8 compared to NOVXC 34±2.4 μ/L, respectively). The vegetable mixture supplementation showed better values of BMD and PINP in OVXT group directed back toward normal (0.183 mg/cm2 and 29.35±3.4 μ/L, respectively). Furthermore, analysis of blood plasma of supplemented group showed lower blood glucose, lipid profile, and oxidative markers if compared to that in OVXC group.Conclusion: It may be concluded that the plant formula was effective to minimize health hazards in ovariectomized rats and maybe for postmenopause women. Perhaps longer time may be needed for more significant and clear effect

Identification and Classification of Moving Vehicles on Road

It is important to know the road traffic density real time especially in cities for signal control and effective traffic management. In recent years, video monitoring and surveillance systems have been widely used in traffic management. Hence, traffic density estimation and vehicle classification can be achieved using video monitoring systems. The image sequences for traffic scenes are recorded by a stationary camera. The method is based on the establishment of correspondences between regions and vehicles, as the vehicles move through the image sequence. Background subtraction is used which improves the adaptive background mixture model and makes the system learn faster and more accurately, as well as adapt effectively to changing environments. The resulting system robustly identifies vehicles, rejecting background and tracks vehicles over a specific period of time. Once the (object) vehicle is tracked, the attributes of the vehicle like width, length, perimeter, area etc are extracted by image process feature extraction techniques. These features will be used in classification of vehicle as big or small using neural networks classification technique of data mining. In proposed system we use LABVIEW and Vision assistant module for image processing and feature extraction.  A feed-forward neural network is trained to classify vehicles using data mining WEKA toolbox. The system will solve major problems of human effort and errors in traffic monitoring and time consumption in conducting survey and analysis of data. The project will benefit to reduce cost of traffic monitoring system and complete automation of traffic monitoring system. Keywords: Image processing, Feature extraction, Segmentation, Threshold, Filter, Morphology, Blob, LABVIEW, NI, VI, Vision assistant, Data mining, Machine learning, Neural network, Back propagation, Multi layer perception, Classification, WEK