The relationship between music and plastic arts can be viewed as an interdependent relationship, as they both develop imagination, focus and sensory perception, as well as the presence of some artistic concepts that music shares with the art of drawing, on this basis the rationale for this research aimed at identifying (the influence of music) was dealt with On the artistic output (drawing) of students of the Department of Art Education - College of Fine Arts) In the first chapter the problem of research, importance, terminology, boundaries and goal was addressed, and in the second chapter the researcher dealt with in the first topic the relationship between music and painting, and in the second topic the use of music in education. As for the third chapter in the research procedures, the researcher chose the descriptive approach to achieve the goal of the research, and she selected a sample of the fourth stage students in the Department of Art Education in the Faculty of Fine Arts at the University of Diyala. Drawing and students who do not use music, and after getting acquainted with that, the researcher prepared a form for analyzing the paintings. Two for the group that listens to music and two paintings for the group that does not listen to music while drawing chose four paintings. After analyzing these paintings for both groups, the researcher reached a number of results the most important ones are:
1. The panels for students who listen to music show rhythm and harmony. As for students who did not listen to music, these elements did not appear.
2. There is harmony, coordination and interaction in the use of color and its gradations in the work of students who listen to music, while this color interaction did not appear clearly in the work of students who do not listen to music.
3. The distribution of shapes, blocks and lines appeared harmoniously in the work of students who listen to music while drawing, while the contradiction and rigid nature appeared in the work of students who did not listen to music. This research was concluded with recommendations and a list of sources. Key words: listening, music, mirroring.
Nowadays, the use of natural bio-products in pharmaceuticals is gaining popularity as safe alternatives to chemicals and synthetic drugs. Algal products are offering a pure, healthy and sustainable choice for pharmaceutical applications. Algae are photosynthetic microorganisms that can survive in different environmental conditions. Algae have many outstanding properties that make them excellent candidate for use in therapeutics. Algae grow in fresh and marine waters and produce in their cells a wide range of biologically active chemical compounds. These bioactive compounds are offering a great source of highly economic bio-products. The prese
... Show More
Optimizing system performance in dynamic and heterogeneous environments and the efficient management of computational tasks are crucial. This paper therefore looks at task scheduling and resource allocation algorithms in some depth. The work evaluates five algorithms: Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Firefly Algorithm (FA) and Simulated Annealing (SA) across various workloads achieved by varying the task-to-node ratio. The paper identifies Finish Time and Deadline as two key performance metrics for gauging the efficacy of an algorithm, and a comprehensive investigation of the behaviors of these algorithms across different workloads was carried out. Results from the experiment
... Show MoreThe rise of Industry 4.0 and smart manufacturing has highlighted the importance of utilizing intelligent manufacturing techniques, tools, and methods, including predictive maintenance. This feature allows for the early identification of potential issues with machinery, preventing them from reaching critical stages. This paper proposes an intelligent predictive maintenance system for industrial equipment monitoring. The system integrates Industrial IoT, MQTT messaging and machine learning algorithms. Vibration, current and temperature sensors collect real-time data from electrical motors which is analyzed using five ML models to detect anomalies and predict failures, enabling proactive maintenance. The MQTT protocol is used for efficient com
... Show More