Science occupies great importance in Islamic thought. Science and learning are considered an essential part of Islamic teachings, and this importance appears in several aspects,Among them is thatScience as a means of understanding religion :Science is a means of understanding the teachings of the Islamic religion. Islam encourages thinking and rational research to understand the Holy Quran and the Sunnah of the Prophet, enabling Muslims to direct their lives and actions in accordance with the directives of their religion,And also to encourageResearch :Islam encourages scientific research and the use of reason in understanding the nature of the universe and God’s signs in it. Muslims are encouraged to study the natural and social sciences and all fields that are useful in developing human knowledge. Science and community development :Islam views science as playing a crucial role in the progress and development of society. It encourages the use of science and technology in the service of humanity, in improving living conditions and promoting social and economic progress, science and piety :Islam views science as a means to achieve piety, that is, a close connection with God and living according to His teachings. The search for and acquisition of knowledge is a form of worship, and Islam promotes people’s understanding that achieving knowledge leads to deeper piety, knowledge, and individual and collective excellence. :Islam encourages the pursuit of knowledge and achieving excellence in its field. It glorifies academic achievement and individual and collective skills as means of serving society and making positive contributions, science and justice :Islam promotes the use of science to achieve justice in society. The Islamic religion expects those with knowledge to contribute to serving justice, ensuring the rights of individuals, and achieving balance in society. In Islamic thought, science is linked to religion and lifeAlyumiaIt encourages Muslims to use science as a means to achieve personal well-beingAnd socialAt the same time To serve God and his creation. This is what Imam Al-Ghazali argued in the content of the research, where:Not all knowledge is science. For example, our life experiences do not include direct observation and practical activity, which do not go beyond the pure description of facts and processes, and which do not go beyond monitoring their external aspects only. That Work is all the activities that a person practices, whether physical or mental, with the aim of production in the institution in which he works, whether governmental or private, or the work may be in a personal profession or craft. The concept of work in Islam: Work is everything that brings benefit to the believer, and this benefit may be material, worldly, or moral in the hereafter. Work has great importance and great status in Islam, and through it the Muslim obtains a great reward and reward, as it is considered worship and compliance with the commands of God Almighty, so through it Life flourishes, the country is prospered, and stability is achieved for the individual and society as a whole. Work in Islam is considered a type of jihad for the sake of God, and its goal is not just to collect money, but rather it is an act of worship that brings goodness to the Muslim, and what is required of him is to strive hard in life seeking the doors of sustenance. And to adhere to God’s limits and not disobey His commands, as good deeds are what guarantee a good life and strength for a person.
The shortage in surface water quantities led to a shift in dependence on the groundwater as an alternative water source in southern parts of Iraq. The groundwater is decreasing in quantity and water quality is degrading due to different factors. Therefore, it is important to assess the groundwater quality of the Missan Governorate of the country by analyzing the physicochemical parameters and distinguishing the probable sources of contaminants in the area. The present study used water quality diagrams and statistical methods such as factor analysis and agglomerative cluster analysis to determine the sources of chemical ions in the forty-four groundwater samples collected from wells in the study area. In addition, the Water Quality Index (WQ
... Show MoreThese With recent developments in machine learning, data mining and computer vision, there is great potential for improvements in early detection of lung cancer using scans and data available. This paper details the methods and techniques used in our project, where the objective is to develop algorithms to determine whether a patient has or is likely to develop lung cancer using dataset images using data mining and machine learning for the classification and examination. We explore approaches to address the problem. Cancer is the most important cause of death globally. The disease diagnosis is a major process to treat the patients who are affected by cancer disease. The diagnosis process is more difficult comparatively known about t
... Show MoreAerial manipulation of objects has a number of advantages as it is not limited by the morphology of the terrain. One of the main problems of the aerial payload process is the lack of real-time prediction of the interaction between the gripper of the aerial robot and the payload. This paper introduces a digital twin (DT) approach based on impedance control of the aerial payload transmission process. The impedance control technique is implemented to develop the target impedance based on emerging the mass of the payload and the model of the gripper fingers. Tracking the position of the interactional point between the fingers of gripper and payload, inside the impedance control, is achieved using model predictive control (MPD) approach.
... Show MoreAlzheimer's disease (AD) increasingly affects the elderly and is a major killer of those 65 and over. Different deep-learning methods are used for automatic diagnosis, yet they have some limitations. Deep Learning is one of the modern methods that were used to detect and classify a medical image because of the ability of deep Learning to extract the features of images automatically. However, there are still limitations to using deep learning to accurately classify medical images because extracting the fine edges of medical images is sometimes considered difficult, and some distortion in the images. Therefore, this research aims to develop A Computer-Aided Brain Diagnosis (CABD) system that can tell if a brain scan exhibits indications of
... Show MoreUnderwater Wireless Sensor Networks (UWSNs) play a vital role in ocean monitoring and exploration. However, harsh underwater conditions and frequent topology changes caused by node and sink mobility pose significant challenges for reliable routing. Conventional routing protocols that depend on global route reconstruction and static paths generate excessive control overhead and degrade performance in large-scale underwater environments. In this paper, we propose an energy-efficient virtual cell-based mobile-sink adaptive routing (VC-MAR) protocol for UWSNs. The sensing field is logically partitioned into a three-dimensional grid of virtual cells, where a cell-gateway is elected in each cell to construct a low-overhead routing backbon
... Show MoreThis research dealt with the subject of auditing bank credit risks in accordance with international auditing standards and aims to develop procedures and design a credit risk audit program in accordance with international auditing standards and demonstrate their impact on the truth, truthfulness and fairness of financial statements and on their overall performance and continuity in the banking sector Its importance lies in relying on international auditing standards to assess and measure bank credit risk and its impact on the financial situation as well as the ability to predict financial failure. A set of conclusions have been reached, the most important of which is that the bank faces difficulties in measuring credit risk in accordance
... Show MoreThis study was conducted during the period 1/9/2014 – 1/2/2015 and aimed to identify the polymorphisms of IGF-1 gene in broiler chickens and their effects on some biochemical traits. A total of 300 one-day-old broiler chicks (Cobb500, n=150; Hubbard F-15, n=150) were evaluated in this study. Blood samples were individually collected from all birds for DNA extraction. PCR-RFLP method being used for determination the genotypes of IGF-1 gene which then correlated with biochemical traits studied. Cobb500 broilers with TT genotype had significantly (p˂0.05) higher serum triglycerides values than those of TC and CC genotypes. Low density lipoprotein (LDL) were significantly (p˂0.05) higher in Hubbard F-15 broilers with TT genotype than those
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