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The importance of logic in the study of Islamic sciences
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Logic is one of the sciences that have receded and regressed in the field of Islamic sciences. This regression is the result of several factors, the most important of which are:

1- The Aristotelian logic, concerned with the seemingly essential shape and the underlying truth in the text, which has been translated into Arabic, is no longer able to keep pace with scientific revelations and epistemological spaces of our time.
2- The existence of logic in the curricula of Islamic studies was not subject to a study linking logic and Islamic sciences. Therefore, we find that the student studies logic as if it were a strange subject that has nothing to do with the subjects of Islamic studies and even Islamic philosophy.
3- Logic is a scientific, intellectual subject whose study leads to the development of mental abilities, and therefore it must be taken care of and given special attention. The development of his vocabulary and the use of this in this regard, including logical studies in the world. Because of the scientific logic, its drought and the lack of practical examples of its vocabulary, all of this pushed students to aversion to his studies.
In this research, the researcher tries to open the door to looking at the logic curriculum that is taught in the colleges of Islamic sciences, and this study constituted a sincere invitation to reconsider the vocabulary and logical subject matter that has not changed for hundreds of years since the material was translated in ancient times and remained the same and nothing happened Development by institutions concerned with its study and teaching, and criticism of logic in this research is intended to develop logic by discussing the problems that have been raised about logic.
In the first topic, the definition and its problems were highlighted. Can logic, by definition, create or control knowledge? The researcher discussed some of the criticisms that tried to cancel logic and proved that logic is not from religious sciences but rather from secular sciences like mathematics and physics, and there is nothing wrong with benefiting from it in the service of religion and Islamic sciences.
In the second topic, the researcher tried to review the vocabulary of the curriculum in order to reach the conclusion that the complexity and rigorous normality were a reason for the aversion to studies of Islamic sciences and their distancing from logic.
The researcher quickly listed the vocabulary of the current approach to logic. Through this digression, the researcher tried to stop at some cases that confirm that logic was made by the human mind and is subject to error, addition, deletion and change.
In the third topic, the researcher presented a vision for developing logic by proposing some changes in the current curriculum and focusing on the topic of significance and benefiting from contemporary studies in language and interpretation and studying mental reasoning and developing students ’intellectual capabilities.
In conclusion, the researcher presented some ideas that he reached to study as results that can be enriched and expanded to develop the logic approach. And the God of the intent behind .

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Publication Date
Thu Apr 01 2021
Journal Name
Biochemical And Cellular Archives
Improvement in the Growth of Cumin Plant, Cuminum Cyminum L. with Spraying Tryptophan and Iq Combi Nanofertilizer
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The experiment was carried out in the Department of Biology, College of Education for Pure Science –Ibn AL Haitham, University of Baghdad, Iraq, during the growing season 2017 – 2018. The objective was to find out the effect of foliar spraying of tryptophan and IQ COMBI nano fertilizer on cumin plants. The obtained results show that both tryptophan and IQ COMBI nano fertilizer increased plant height, root length, shoot dry weight, the content of nitrogen, phosphorus, potassium, protein percentage, no. compound umbel.plant-1, wt. seeds. plant-1. The optimum treatment combination was calculated as 30 mg.L-1 tryptophan, 1000mg.L-1 IQ COMBI nano fertilizer, which gave the highest values for most of the parameters studied

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Tue Jan 28 2014
Journal Name
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Mon Dec 23 2019
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Thu Jun 30 2016
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Publication Date
Mon Jan 29 2018
Journal Name
Iraqi Journal Of Science
Assessment the effect of non-thermal plasma on Escherichia coli and Staphylococcus aureus biofilm formtion in vitro
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Biofilm formation represents one of the biggest problems facing scientists because of this phenomenon linkage with virulence of bacteria and other clinical environmental problems. In the present study, two clinical isolates,
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Publication Date
Sun Oct 27 2019
Journal Name
Iraqi Journal Of Science
Monitoring the Change of Water Level and Its Effect on Water Quality in Sawa Lake, Southwest Iraq
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Sawa Lake is considered one of the distinct closed water systems located in the southwestern part of Iraq. In last years, the lake has suffered from a significant decrease in the water depth reached 1.5 m, thus the current study aims to monitor and analyse the change in water level, and identify causes and effect of this change on the lake hydrochemical properties by using analyzing cations and anions with the assistance of sub bottom profilers technique as well as obtained information from scientific diving.

     The results revealed that the lake had an equilibrium state between feed up and withdrawal water as well as evaporation during history.  In spite of the high evaporation rates in the region, thi

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Publication Date
Fri Sep 11 2020
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Evaluating of the association between ABO blood groups and coronavirus disease 2019 (COVID-19) in Iraqi patients
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Abstract<sec> <title>Background

Susceptibility to the pandemic coronavirus disease 2019 (COVID-19) has recently been associated with ABO blood groups in patients of different ethnicities. This study sought to understand the genetic association of this polymorphic system with risk of disease in Iraqi patients. Two outcomes of COVID-19, recovery and death, were also explored. ABO blood groups were determined in 300 hospitalized COVID-19 Iraqi patients (159 under therapy, 104 recovered, and 37 deceased) and 595 healthy blood donors. The detection kit for 2019 novel coronavirus (2019-nCoV) RNA (PCR-Fluorescence Probing) was used in the diagnosis of disease.

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Mon Feb 01 2016
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Swarm And Evolutionary Computation
Improving the performance of evolutionary multi-objective co-clustering models for community detection in complex social networks
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Publication Date
Tue Apr 19 2022
Journal Name
Chemistryselect
A Continuous Flow Injection/Indirect Photometric Method for the Detection of Fosetyl Aluminum in Commercial Pesticide Formulations
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Abstract<p>Because of their Physico‐chemical characteristics and its composition, the development of new specific analytical methodologies to determine some highly polar pesticides are required. The reported methods demand long analysis time, expensive instruments and prior extraction of pesticide for detection. The current work presents a new flow injection analysis method combined with indirect photometric detection for the determination of Fosetyl‐Aluminum (Fosetyl‐Al) in commercial formulations, with rapid and highly accurate determination involving only construction of manifold system combined with photometric detector without need some of the pre‐treatments to the sample before the analysis such a</p> ... Show More
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Publication Date
Wed Nov 30 2022
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Iraqi Journal Of Science
Detection and Classification of The Osteoarthritis in Knee Joint Using Transfer Learning with Convolutional Neural Networks (CNNs)
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    Osteoarthritis (OA) is a disease of human joints, especially the knee joint, due to significant weight of the body. This disease leads to rupture and degeneration of parts of the cartilage in the knee joint, which causes severe pain. Diagnosis of this disease can be obtained through X-ray. Deep learning has become a popular solution to medical issues due to its fast progress in recent years. This research aims to design and build a classification system to minimize the burden on doctors and help radiologists to assess the severity of the pain, enable them to make an optimal diagnosis and describe the correct treatment. Deep learning-based approaches, such as Convolution Neural Networks (CNNs), have been used to detect knee OA usin

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