Teachers play a critical role in planning, organizing, coordinating, monitoring, and instructing, hence the topic of leadership styles receives a lot of attention. As a result, the physical education school is regarded as the most significant component of the educational process because it has the ability to weave together the teaching and educational skills, attitudes, and capacities that its students develop. Fits into their identities through her relationship with them. Teachers play a critical role in planning, organizing, coordinating, monitoring, and instructing, hence the topic of leadership styles receives a lot of attention. As a result, the physical education school is regarded the most significant aspect in the educational process since it can develop the teaching and educational skills, attitudes, and abilities. The significance of the study stems from the fact that it attempts to determine the type of relationship between the prevalent leadership styles and the personal qualities of physical education instructors in middle schools in Baghdad Governorate, specifically their innovative thinking. The research aims to:1.Identifying the dimensions of the standards for each of the prevalent leadership styles, personal characteristics, and innovative thinking among female physical education teachers in Baghdad Governorate middle chools.2. Identifying the association between leadership style aspects (initiative, interest in work, and interest in human interactions) and innovative thinking dimensions (fluency, flexibility, and originality) for physical education instructors in Baghdad Governorate's middle schools.3. Investigati ng the association between the characteristics of personal attributes (control, responsibility, emotional balance, and sociability) and the dimensions of innovative thinking (fluency, flexibility, and originality) for physical education teachers in Baghdad Governorate's middle schools. The descriptive approach was used on (50) female physical education teachers, and the three standards were applied to them. After collecting the data and processing it statistically, a set of conclusions and recommendations were reached.
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Breast cancer has become a common malignancy in most parts of the world. Vitex negundo has been used as a traditional remedy for many diseases. This study investigated the molecular mechanism of breast cancer prevention using breast cancer cell line MCF-7. In this study, an overview of the widely used Vitex negundo plant and its alcoholic, Gas chromatography mass spectrometry (GC-MS) was used to assess the extract, cell cycle assay and apoptosis by high content screening assay. in GC-MS. The biologically active phytochemical components of the alcoholic extract of the plant were examined. A GC MS study showed that 27 chemical substances were present. Analysis of the MCF-7 cell life cycle revealed that the plant's alcoholic extract stoppe
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In regression testing, Test case prioritization (TCP) is a technique to arrange all the available test cases. TCP techniques can improve fault detection performance which is measured by the average percentage of fault detection (APFD). History-based TCP is one of the TCP techniques that consider the history of past data to prioritize test cases. The issue of equal priority allocation to test cases is a common problem for most TCP techniques. However, this problem has not been explored in history-based TCP techniques. To solve this problem in regression testing, most of the researchers resort to random sorting of test cases. This study aims to investigate equal priority in history-based TCP techniques. The first objective is to implement
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In this work, an inventive photovoltaic evaporative cooling (PV/EC) hybrid system was constructed and experimentally investigated. The PV/EC hybrid system has the prosperous advantage of producing electrical energy and cooling the PV panel besides providing cooled-humid air. Two cooling techniques were utilized: backside evaporative cooling (case #1) and combined backside evaporative cooling with a front-side water spray technique (case #2). The water spraying on the front side of the PV panel is intermittent to minimize water and power consumption depending on the PV panel temperature. In addition, two pad thicknesses of 5 cm and 10 cm were investigated at three different water flow rates of 1, 2, and 3 lpm. In Case #1,
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In this research, deposition of titanium oxide (TiO2) and vanadium oxide (V2O5) thin film in different mixing percentage (0, 25 ,50, 75 and100)% on the substrate of glass .The coating thickness was ( 50 nm ).
In this research contact angle was measured and the effect of weather conditions. Results showed that the value of the contact angle of the prepared films reached its highest value at 50% (TiO2+V2O5) was 160º.
The results showed that the optical transmittance of TiO2 and V2O5 thin film decrease with increasing the deposition angle and decrease with increasing V2O5 pro
... Show MoreDevelopment and population expansion have the lion's share of driving up the fuel cost. Biodiesel has considerable attention as a renewable, ecologically friendly and alternative fuel source. In this study, CaO nanocatalyst is produced from mango leaves as a catalysis for the transesterification of waste cooking oil (WCO) to biodiesel. The mango tree is a perennial plant, and its fruit holds significant economic worth due to its abundance of vitamins and minerals. This plant has a wide geographical range and its leaves can be utilized without any negative impact on its growth and yield. An analysis was conducted to determine the calcium content in the fallen leaves, revealing a significant quantity of calcium that holds potential fo
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Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class
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