Intrinsic Competencies: A Leverage Tool for The Performance of Learning Organization (Case Study: Wasit University)

Learning organization performance is based on the sharing of experience and knowledge. The methods and adaptability of learners demonstrate its competitive advantage. However, in a fluctuating context marked by successive crises (economic, health), relying on intrinsic competencies is a crucial advantage for learning companies. This study investigated the influence of intrinsic competencies with three dimensions on the performance of the learning organization. This quantitative study used the questionnaire as a quantifiable tool to obtain data. A pre-test and face validation ensured the questionnaire’s validity. The analytical method is used in this study. Path analysis and SEM were applied in this study to test hypotheses. The influence of intrinsic competencies dimensions (Organizational Resources, Human Resources Strategies, Employees Capabilities) on the performance of learning organizations is the most prominent conclusion. The learning organization should adopt a learning and teaching culture where people collaborate and think together to constantly improves to enhance their performance

E-Learning and its Influence on Enhancing the University Performance During the Outbreak of the Corona Pandemic

Purpose: This paper aims to determine the influence of e-learning and its dimensions on university performance, taking the University of Basra’s various faculties as a field study.   Theoretical Framework: The study’s hypotheses are divided into one central hypothesis and four sub-hypotheses constructed and grounded on the dimensions of e-learning. Infrastructure, technical support, management, organization, and content were taken as dimensions of the independent variable, and University Performance as the dependent variable.   Design/Methodology/Approach: This paper uses a quantitative method with a deductive approach. One hundred sixty participants responded to a structured questionnaire as part of the study’s descriptive analytical procedure. Data were analyzed using the SPSS program. Statistical analyses were applied to test the research hypotheses and meet the study’s goals.   Findings: Results revealed a positive association linking the application of e-learning dimensions. Universities are motivated to apply e-learning strategies due to their positive influence on leveraging university performance. Infrastructure, technical support, management and organization, and content positively influence university performance.   Research, Practical and Social Implications: This paper highlights the features and dimensions influencing university performance significantly in the Iraqi context. Hence, executives of public and private universities will be able to determine the actions to be adopted to advance and progress the implementation of e-learning and performance.   Originality/Value: The paper’s originality stems from the significance and recency of the addressed topic. This paper is the first empirical research presenting a diagnosis of e-learning dimensions and university performance at Basra University during the outbreak of the corona pandemic. It is an original paper conducted in the Iraqi context

Managing Stress through Work-Life Balance: A Study on Jinan Lebanon University Staff

This study focuses on the stress problems related to role conflict and ambiguity. It will emphasize the creation of a work-life balance strategy as a solution to decrease this stress. The work-life balance is a desirable concept for education institutes because relaxed employees are more motivated and productive. This study will aim to study the impact of stress on Al Jinan staff’ through a questionnaire with 120 employees. This study embraces four independent variables related to stress factors and work-life balance as the dependent variable. This study has verified the positive impact of the working environment and suggested adequate recommendations

The Relationship between Universities Social Responsibility Internal Strategies and Staff Quality Work Life: An Empirical Study on Al Jinan University in Lebanon

The quality of life at work increases employees’ abilities to practice gained talents to face work challenges. Efficient internal USR practices supporting working conditions, developing new skills, opportunities for advancement, and the opportunity for work-life balance contribute to increasing the quality of work-life QWL. Accordingly, universities are trying to maintain their employees’ quality work-life by leading their human resources managers to implement internal USR practices. Hence, this study aims to examine the relationship between the Internal University Social Responsibility Practices USR as independent variables and the Quality of Work Life (QWL) of Al Jinan university staff as a dependent variable. The results indicate that the work-life balance, training and education, working conditions, human rights, workplace diversity, and job enrichment have a positive significant impact on the quality of work-life; hence to maintain a good quality of work-life for the workforce, universities should implement efficient USR practices internally

Credit Card Fraud Detector Based on Machine Learning Techniques

The massive development of technology has affected commerce and given rise to e-commerce and online shopping. Nowadays, consumers prioritize e-shopping over the brick and motor stores due to numerous benefits, including time and transport convenience. However, this progressive upsurge in online payment increases the number of credit card frauds. Therefore, defending against fraudsters’ activity is obligatory and can be achieved by securing credit card transactions. The objective of this paper is to build a model for credit card fraud detection using Machine learning techniques. An innovative approach to credit card fraud detection grounded on machine learning is proposed in this study. Machine learning (ML) is an artificial intelligence subfield comprising learning techniques from experience and completing tasks without being explicitly programmed. Three ML techniques have been used: Support vector machine, logistic regression, Random Forest, and Artificial Neural network. First, the most significant features that affect the type of transaction (fraud or not fraud) have been selected. After that, the ML model was applied. The performance of the proposed approach is tested using a confusion matrix, recall, precision, f-measure, and accuracy. The proposed method is tested using accurate data that consists of 284807 transactions. The result shows the efficiency of the proposed approach

The Effect of Strategic Prowess on Job Performance—A Sample of the Directors of the Iraqi Media Network

The current research aims to identify the nature of the Iraqi media network’s practice of strategic prowess and job performance, as well as to test the correlation of the impact of strategic prowess as an independent influencing variable in job performance as a dependent variable directly affected, and given the scarcity of studies that attempted to identify and identify the nature of the correlation between the three research variables in their form direct and indirect in the Iraqi environment, add to this the researcher’s attempt to examine and address a real and realistic problem that directly affects the Iraqi media network.However, the research adopted the intentional stratified sampling method for a population of network managers 250 individuals. The researcher utilized the Thompson equation and Mascheran’s table for small samples. The size of the research sample was 160, and the questionnaire was distributed to them, from which the researcher retrieved 146 which was valid for statistical analysis with a response rate 91.25%, And for this purpose, statistical tools and methods were utilized in analyzing the practical part of the search (arithmetic mean, standard deviation, Pearson correlation coefficient, simple and multiple regression method, path analysis, Sobel test), and they were analyzed by the statistical program (SPSS V.26 & AMOS V 26), in addition to the descriptive and analytical approach through polling opinions and interviews, so it was the main tool in data collection (the questionnaire), and the research reached the most prominent results represented by the existence of direct correlation between strategic prowess and job performance, and the research contributed to providing the Iraqi and Arab library with the theoretical part In an attempt to bridge the knowledge gap in the interpretation of variables.

A Transformerless Bipolar/Unipolar High-Voltage Pulse Generator with Low-Voltage Components for Water Treatment Applications

Pulsed electric field is a commonly used and effective disinfection method in drinking water treatment applications. In this paper, a transformerless unipolar/bipolar high-voltage pulse generator is presented with well-regulated pulsed output voltage for drinking water treatment via underwater pulsed corona discharge. The proposed high-voltage pulse generator is fed from a relatively low-voltage dc supply. Then, capacitor-diode voltage multiplier centrally fed from a dc-dc boost converter is used to elevate the input voltage to a proper high-voltage level. Finally, a modular multilevel converter is employed to chop the elevated voltage into unipolar or bipolar pulsed output voltage (based on the user selection). The suggested arrangement provides a high-voltage gain with relatively low-voltage components, i.e., neither high-voltage nor series-connected components are needed in the proposed approach. A comparison between the proposed approach and the other Marx-Based pulse generators has been held to show the merits of the proposed approach. A detailed design of the generator passive components and semiconductor devices has been presented. Simulation and experimental results are presented for the unipolar as well as the bipolar pulsed output to validate the proposed concept.This work was supported by a National Priorities Research Program (NPRP) from the Qatar National Research Fund under Grant NPRP 7-203-2-097.Scopu

Modeling of CubeSat orientation scenario and solar cells for internet of space provision

As a cost-effective alternative to traditional satellites, CubeSats have emerged to provide new space experimentation opportunities. The power budgeting of CubeSats is an essential part of the designing process due to the size, weight, and available surface constraints, and hence the total generated power is affected by these constraints. Consequently, there is a considerable need for accurate determination of the received solar irradiation and the required energy storage. This paper presents a study pertinent to CubeSat power budgeting as an Internet of Space provider depending on determining the incident solar irradiation on its sides for Nadir-Orientation Scenario. The electrical power system should guarantee power provision during the CubeSat mission, which typically depends on solar cells conditions such as temperature and irradiation, along with the energy storage system. - 2019 IEEE.Scopu

Power Budgeting of LEO Satellites: An Electrical Power System Design for 5G Missions

Although Geostationary-Equatorial-Orbit (GEO) satellites have achieved significant success in conducting space missions, they cannot meet the 5G latency requirements due to the far distance from the earth surface. Therefore, Low-Earth-Orbit (LEO) satellites arise as a potential solution for the latency problem. Nevertheless, integrating the 5G terrestrial networks with LEO satellites puts an increased burden on the satellites’ limited budget, which stems from their miniature sizes, restricted weights, and the small available surface for solar harvesting in the presence of additional required equipment. This paper aims to design the Electrical Power System (EPS) for 5G LEO satellites and investigate altitudes that meet the latency and capacity requirements of 5G applications. In this regard, accurate solar irradiance determination for the nadir-orientation scenario, Multi-Junction (MJ) solar cells modeling, backup batteries type and number, and designing highly-efficient converters are addressed. Accordingly, the power budgeting of the 5G LEO satellite can be achieved based on defining the maximum generated power and determining the satellite’s subsystem power requirements for 5G missions. In the sequel, the measured and simulated values of the electrical V-I characteristics of an MJ solar panel are compared to validate the model by using a Clyde Space solar panel that reaches a maximum power generation of approximately $1~W$ at ( $I_{MPP}=0.426\,\,A$ , $V_{MPP}=2.35\,\,V$ ). Moreover, a synchronous boost converter circuit is designed based on commercial off-the-shelf elements