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Introduction Our current research seeks to measure the impact of leadership with its dimensions represented by (determining direction, investing and preserving core capabilities, developing human capital, promoting culture) a questionnaire a questionnaire on all measurements at various administrative levels, the chairman of the board of directors of the company, the executive director, the general manager, and the management of departments and divisions in Union Company for Food Industries Ltd In order to process this data and test the hypotheses, the researcher used a number of statistical methods, the most important of which are (the arithmetic mean, the standard deviation, the relative coefficient of difference, and the relative importance). working methods Using the analytical method to reach the results through the use of the questionnaire form and subjecting it to several statistical methods and tools through the SPSS statistical analysis program. Conclusions It is clear from the results of testing the hypotheses of the study that there is a significant effect of the strategic leadership variable on the entrepreneurial performance at the level of the study sample company, and this indicates that the more the administrative leaderships in the study sample company pay attention to the dimensions of strategic leadership and follow strategic behaviors, the more they have an insight into the future and a vision It has a clear and deep understanding of the market dynamics, and it has the necessary expertise, skills, and capabilities to deal with environmental variables. The higher the level of entrepreneurial performance at the level of the study sample company, the greater its ability to achieve success. It was also clear from the results of testing the hypotheses of the study that there is a significant effect of the dimension of defining the strategic direction on the entrepreneurial performance, and this means that the study sample company paid more attention to defining its strategic direction clearly and formulating its strategy with high transparency, and the more its administrative leaders had a full understanding of the strategic process, the higher the performance its pioneer. The results of hypothesis testing showed that there is a significant effect of the investment dimension and the preservation of core capabilities in the entrepreneurial performance variable. Resources and expertise in order to build core capabilities and improve their outputs. From the results of testing the hypotheses of the study, it was found that there is a significant effect of the dimension of strengthening the organizational culture in the variable of entrepreneurial performance. Social, this is a matter of raising the level of his leadership performance.

أُجريت هذه الدراسة في حظيرة الدواجن بكلية ناصر للعلوم الزراعية جامعة عدن للفترة من 4/2/2021م حتى 3/3/2021م، بهدف معرفة أثر استخدام مسحوق اوراق النيم كبديل للمضادات الحيوية على بعض الصفات الانتاجية والفسيولوجية لفروج اللحم. في هذه الدراسة تم استخدام 150 فرخ غير مجنسة من افراخ فروج اللحم سلالة روس (ROSS) بعمر اسبوع حيث قسمت الى خمس معاملات (T1، T2، T3، T4، T5) بواقع ثلاثة مكررات لكل معاملة، وعشرة كتاكيت لكل مكرر، ومثلت المعاملة T1 الشاهد (0) والمعاملة T2 مضاد حيوي اوكسي تيتراسكلين 160ملجم/كجم علف، والمعاملة T3 مضاد حيوي اوكسي تيتراسكلين 240 ملجم/كجم علف، والمعاملة T4 مسحوق اوراق النيم 2جم/كجم علف، والمعاملة T5 مسحوق اوراق النيم 4جم/كجم علف. بيّنت نتائج هذه الدراسة وجود فروق معنوية (P

The major area of data-mining methods that focuses on protecting personal information from unauthorised or unsolicited exposure is called Privacy Preserving Data-Mining (PPDM). The most valuable information is analysed and predicted using data-mining methods. The security of confidential information from unwanted access is at the core of PPDM abstraction. The Secure Data Contribution Retrieval Algorithm (SDCRA), Enhanced-Attribute Based Encryption (E-ABE), Level by Level Security Optimization and Content Visualization (LSOCV) algorithm, and Privacy Preserved Hadoop Environment are just a few of the proposed methods in this research work to increase privacy and security (PPHE). To address the immediate difficulties, the proposed SDCRA is first taken into consideration. Based on specifications and application compatibility, the SDCRA algorithm determines a privacy policy and sets up security. The accuracy requirements for numerous datasets may be met by this approach. Online social networks (OSNs) are presently favoured interactive medium for establishing communication, sharing, and disseminating a sizable quantity of data on human existence.

Artificial intelligence (AI) has been recognised as having a broad potential to reduce human workload or increase human capabilities in complex scenarios; however, it is now clear that AI also plays an important role in transforming our lives by promoting more efficient existing services or completely new services. AI is already assisting managers (airlines/airports managers, air traffic management) and operators in a wide range of aviation and air traffic system applications (pilots, air traffic controllers, airport operators, flow controllers). The aviation and air traffic management (ATM) sectors are now confronted with new interconnected challenges: energy transition, increased environmental protection, increased capacity flexibility, integration of new components into air traffic (drones), and system resilience to large traffic perturbations (economic crises, pandemics). AI should help to discover effective solutions to all of these problems. The capacity and safety of the airspace system are heavily reliant on the competent coordination of air traffic control System (ATCS) and flight desk employees. This indicates that aviation traffic will expand at an exponential pace, causing substantial congestion, flight delays, and pollution. Maintaining safe spacing between aircrafts, directing them during takeoff and landing from airports, guiding them around adverse weather, and ensuring that traffic moves smoothly with minimum delays. The goal of this Research Topic is to develop and apply new AI techniques to solve new aircraft operations and air traffic management problems, with the goal of making air transportation operations (including air traffic) more efficient and safe than they are today, while new aviation technologies and new airspace organisation concepts are introduced, and the main goal of this research is to provide automatic communication between the airport and the aircraft. The Problem of manually checking climatic conditions, runway parameters, air traffic, and various other information can be solved by using GSM technology. To reduce the manual efforts and human errors. Before landing, the arrival time of the aircraft is announced automatically.

Voltage stability represents one of the main issues in electrical power system. Under voltage load shedding (UVLS) has long been regarded as one of the most successful techniques to prevent the voltage collapse. However, the ordinary load shedding schemes do not consider the different load models and decreasing in the ‎economic cost that resulted from load disconnection, so the dual techniques of load shedding with reactive compensation are needed. Usually loads being modeled as constant power, while in fact of load flow the various load models are utilized. An investigation of optimal dual load shedding with reactive compensation for distribution system based on direct backward forward sweep method (DBFSM) load flow along with a comparison among the other load models are presented in this paper. The teaching learning-based optimization (TLBO) algorithm is executed in order to reduce power losses and enhance the voltage profile. This algorithm is tested and applied to IEEE-16 bus distribution test system to find the optimal superior capacitor size and placement while minimizing load shading for the network. Five different load shedding sequences are considered and the optimization performance of load models demonstrated the comparison through MATLAB program.

Image classification is an extensively researched sub-fields of computer vision implemented in face recognition, self-driving, medical image segmentation, biological identification, and others. Traditional models of image classification require manual construction of feature extraction techniques and classification accuracy which are closely associated with these utilized techniques. During the rapid progress of multimedia technologies, the number of images that require classification got bigger, and this led to making image classification more complicated, hence, the manual construction of feature extraction techniques consumes more time and provides lower accuracy. In the recent decade, deep learning-based models have appeared in various applications. These models hold the merits of an effective extraction of image features, low-weight features filtering, a large capacity for processing, and higher classification speed and accuracy. Thus, lots of researchers have attempted to utilize deep learning algorithms, especially convolutional neural networks (CNNs) for image classification. Therefore, this paper concentrates on providing an abbreviated review of deep learning-based image classification models, by covering the recently utilized deep learning algorithms, comparing various related works and benchmark datasets mentioned in this paper, and summarizing the fundamental analysis and discussion.

Background Hearing loss management using cochlear implants in patients with inner ear anomalies has long been discussed in the otology community. Magnetic resonances imaging (B,/IRI) and Computed tomography (CT) play important roles in the preoperative assessment of inner ear abnormalities such as cochlear nerve deficiency and variant anatomy as these abnormalities may not only affect the decision of the implantation procedure or the patient's prognosis regarding auditory improvement, but also the risk of complications. Objective To examine the prevalence of inner ear anomalies among cochlear implant recipients in patients with congenital sensorineural hearing loss among the pediatric age group in the Demerdash hospital, Ain Shams university using High resolution computed tomography (HRCT) and MRI imaging. Methods A retrospective descriptive study over the course of 9 months that included all patients that are candidates for cochlear implant referred to the Radiology department, Ain Shams University Hospitals for a preoperative imaging in the form of CT and VIRI scans. Results CT and MRI scans of 33 patients who had congenital hearing loss and were candidates for cochlear implantation with total 66 ears were reviewed. Inner ear anomalies were identified in 8 patients representing a prevalence (24.2%) with 14 ear diseased. Anomalies were seen bilaterally in 6 patients and unilaterally in 2 patients. Among the 14 diseased ear, 9 ears (64.3%) were seen with incomplete partition Il, 7 ears (50%) were seen with enlarged vestibular aqueduct, 4 ears (28.6%) were seen with cochlear hypoplasia, 3 ears (21.4%) were seen with semicircular canal aplasia, 2 ears (14.3%) were seen with incomplete partition type I, 2 ears (14.3%) were seen with cochlear nerve aplasia, 2 ears with cochlear aplasia (14.3%), I ear (7.1%) was seen with common cavity ear (7.1%) with complete labyrinthine aplasia. Conclusion Prevalence of inner ear anomalies among cochlear implant candidates was 24.2%. This result is consistent with results worldwide and the most common anomalies were Incomplete partition Il and large vestibular aqueduct. Abbreviations Computed tomography (CT), Magnetic resonance imaging (MRI), High resolution computed tomography (HRCT), Internal auditory canal (IAC), Cerebellopontine angle (CPA).

Background Gastrointestinal endoscopy is an uncomfortable and stressful procedure for most patients. Conscious sedation is a common strategy for improving patient comfort during this procedure. Benzodiazepines (gamma-aminobutyric acid (GABA) agonists) such as midazolam have been used for sedation of patients undergoing gastrointestinal endoscopy. The effective dose ranges of such agents differ considerably among patients, making it difficult to achieve stable sedation. Also obesity is a significant health problem that has assumed epidemic proportions. As a result, the number of obese patients requiring endoscopy is increasing. It is relatively unknown how safe the current practices of sedation for endoscopic procedures are in bariatric patients. Therefore, special consideration should be given to these patients Aim of the Work To compare the sedative properties and haemodynamic and respiratory effects of Dexmedetomidine and a Ketamine-Propofol combination (ketofol) in obese patients undergoing Upper GI Endoscopy. Patients and Methods This study was conducted in the endoscopy unit of Ain Shams University Hospital after obtaining approval from the Research Ethical Committee of Ain Shams University. A prospective, randomized controlled clinical trial was found to be the most suitable design in order to achieve the study objectives. Cases were divided into 2 groups using computer generated random list of numbers in sealed opaque envelopes. Results We found that ketamine-propofol infusion (1:3) is a better sedation regimen for upper gastrointestinal endoscopy compared to dexmedetomidine as lesser time is taken to achieve optimal sedation, with no hemodynamic unstability or postprocedure complications. Conclusion In this study, we compared a group of 40 upper GIT endoscopy obese patients (BMI 30-40) who received procedural sedation with either Dexmedetomidine or propofolketamine combination, we found that ketamine-propofol infusion (1:3) is a better sedation regimen for upper gastrointestinal endoscopy compared to dexmedetomidine as lesser time is taken to achieve optimal sedation, with no hemodynamic unstability or post procedure complications.

Iraq is one of the countries that have solar energy over the year. However, the PV solar systems have not received sufficient support from the Iraqi government. Also, the on-grid PV solar systems have not been used to feed the transmission lines of national electricity. Therefore, in this study, a dynamic simulation with 3D visualization (PV*sol premium valentine) software was used to analyze and calculate the characteristics output of the system according to the weather data of Iraq capital city – Baghdad (latitude 34.03o and longitude 45.04o) for one year. The size of the proposed system was 4.68 kWh and consists of 18 Polycrystalline silicon cell modules with a total area of 30.2 m2 and inclined at an angle of 27o. The performance analysis of the system includes total production, efficiencies, performance ratio (PR), capacity utilization factor (CUF), yield types, and energy losses. The total energy generated during this period was found to be 7336 kWh/year. The annual mean of PV module, PV system, and inverter efficiencies was found to be 13.78%, 12.98%, and 82.48% respectively. While the PR and CUF were found to be 81.19% and 17.84 respectively. On the other side, the annual mean of final yield, total losses, and losses in the inverter was found to be 4.28 h/d, 0.88 h/d, and 9.24% respectively. Some of the important performance parameters of PV systems were compared with the performance of convergent systems in size available in the literature.

Distribution System Reconfiguration (DSR) and Optimal Capacitor Placement (OCP) are the most alternative techniques for increasing the power system generation and covering the growth of power demands. These techniques reduce the Radial Distribution System (RDS) losses and enhance the voltage profile. Combining both techniques gives better performance than using the individual technique. In this paper, two operation modes were implemented. First, the individual mode of OCP is applied. Second, the dual mode of DSR after OCP process is applied. Multiobjective functions with considering the weighting factors are used for minimizing real losses, improving voltage profile, and increasing saving cost. The optimal selections of open switches, location, and size of capacitors in the individual and dual design for RDS are achieved using four different optimization algorithms. These algorithms are Modified Biogeography-Based Optimization (MBBO) algorithm, Cuckoo Search (CS) algorithm, Modified Imperialist Competitive (MIC) algorithm, and Modified Bacterial Foraging-Based Optimization (MBFBO) algorithm. These algorithms are applied for two standard networks (IEEE 33- and IEEE 69-bus). Comparisons among the proposed algorithms are done, and the results demonstrated that the MBBO algorithm is the most strong and fast algorithm to attain the optimum solution. In addition, comparisons with literature works are done to validate the effectiveness of proposed algorithms.

The electrical distribution system is the interface between the power system and customers. Because of its compact architecture and low expense, the radial configuration is favored for distribution systems. Reactive Power Compensation (RPC) that is dependent on the optimal option of location and capacitor size in the network is one of the essential settlements for reducing network losses and adjusting the device voltage profile. Various load models, including constants of impedance (Z), current (I), power (P), and composite (ZIP), are used with contrasts between them to define the highest productive kind of load, which provides the optimum settlement for loss minimization, improving cost and voltage profile reductions. In this paper, a study of optimal Reactive Compensation (RC) with a comparison and assessment between two load flow methods Newton Raphson and Backward- Forward load flow methods (DBFSM), considering miscellaneous models of the load, is present for a distribution power system. The optimization algorithm based on Teaching- Learning (TLBO) is applied to refine the voltage values of buses and losses reduction. This algorithm has been tested for the IEEE-33 standard distribution power system. Comprehensive comparison and assessment have been accomplished among the optimization performances for four diverse load models in order to decide the model of load that provides the most betterment in the voltage profile and loss detraction using MATLAB program.The results demonstrate that ZIP model is the most suitable to generate the optimum settlements for capacitor positions and sizes .

Article History Received: January 04, 2021 The effectiveness of throwing a hammer is one of the of games that require high-level technical performance and requires that the archers possess a correlation in Physical abilities such as types of strength rotational speed and compatibility as well as mastering the technical aspects according to the mechanical conditions that characterize this effectiveness, Through the experience of field researchers in the field of athletics, especially in throwing events, he noted that there is a low level of digital achievement and a large difference between the numbers recorded in this event for the youth category between the countries of the world and what is recorded for hammer archers in Iraq. The importance of research in preparing the momentary strength exercises and the strength distinguished by speed with electrical stimulation (EMS) and knowing their effect on some vital mechanical variables and the level of archers achievement of the category (youth) The research assumes that there are statistically significant differences between the pre and posttests of the research sample in values(Angular transmission speed, Hammer launch speed, The instantaneous strength of throwing for the full performance of the two legs , The instantaneous strength of throwing from a steadfast leg. The instantaneous push time of the arms at the moment of throwing , The instantaneous strength of the arms at the throwing, Completion distance for full performance). The implementation of the training curriculum took 12 weeks, at the rate of (3) training units per week, i.e. with a total of (36) training units during the research period. The researcher has concluded several conclusions, the most important of which were the effectiveness of exercises (instantaneous strength and strength distinguished by speed with electrical stimulation), which were used within the prepared training Approach In improving the values of the number of biomechanical variables at the moment of throwing, which had a significant impact on the Evolution of achievement.