This large book represents the research and is marked (Compilers of Hanbali jurisprudence of the Abbasid era). It includes, between its covers, a large group of scholars of the Islamic nation, with its great jurists and mujtahids, from the followers of the school of (Ahmed bin Hanbal) in the fundamentals and branches, and specific to the sciences of the Qur’an, its jurisprudence, and the narrators of the hadiths of the Noble Prophet The best of creation (Muhammad) peace and blessings be upon him, and it also includes a large number of reciters and ascetics, who are known for their abundance of authorship, especially with regard to the collection and numbers of classifications, and they are too large to be counted by number! But can we confine them to the time period? Nearly two and a half centuries, starting from the beginning of the fourth century AH, which is considered in the eyes of researchers, is the most fertile period that all sciences went through, including Islamic and jurisprudential sciences, and what followed until the year (656 AH), which is the date on which the light of Baghdad entered ( Treasures of science and knowledge) at a time when Europe was going through a stage of complete darkness in what is called the Middle Ages, and for this there is no wonder. If the Islamic State and its capital, Baghdad, became a haven for scholars, jurisprudence and scholars from all over the world, which made it an almost (continuous) target for all the evil hordes from the East and the West..
And if Baghdad fell at the hands of the Tatars in (656 AH), when the occupiers tried to cut the necks of its scholars, and threw its civilizational history towards the Tigris, which made its water mix with the inks of books and their scientific and jurisprudential blogs.
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Classifying an overlapping object is one of the main challenges faced by researchers who work in object detection and recognition. Most of the available algorithms that have been developed are only able to classify or recognize objects which are either individually separated from each other or a single object in a scene(s), but not overlapping kitchen utensil objects. In this project, Faster R-CNN and YOLOv5 algorithms were proposed to detect and classify an overlapping object in a kitchen area. The YOLOv5 and Faster R-CNN were applied to overlapping objects where the filter or kernel that are expected to be able to separate the overlapping object in the dedicated layer of applying models. A kitchen utensil benchmark image database and
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The interplay of predation, competition between species and harvesting is one of the most critical aspects of the environment. This paper involves exploring the dynamics of four species' interactions. The system includes two competitive prey and two predators; the first prey is preyed on by the first predator, with the former representing an additional food source for the latter. While the second prey is not exposed to predation but rather is exposed to the harvest. The existence of possible equilibria is found. Conditions of local and global stability for the equilibria are derived. To corroborate our findings, we constructed time series to illustrate the existence and the stability of equilibria numerically by varying the different values
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In recent years, the world witnessed a rapid growth in attacks on the internet which resulted in deficiencies in networks performances. The growth was in both quantity and versatility of the attacks. To cope with this, new detection techniques are required especially the ones that use Artificial Intelligence techniques such as machine learning based intrusion detection and prevention systems. Many machine learning models are used to deal with intrusion detection and each has its own pros and cons and this is where this paper falls in, performance analysis of different Machine Learning Models for Intrusion Detection Systems based on supervised machine learning algorithms. Using Python Scikit-Learn library KNN, Support Ve
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P. aeruginosa is a famous bacterium that causes several diseases and has a high ability to be a multidrug resistant organism that is linked with the formation of biofilm. This study aimed to investigate tssC1 gene role in the resistance of different antibiotics in the presence of biofilm. We constructed biofilm for the isolates under the study and showed the effect of different antibiotics on biofilm formation and maturation. The presence of the gene was detected through achieving PCR reaction. Finally, tssC1 gene variation was determined through sequencing and aligning the sequencing products. The results showed that most of the isolates (80%) formed biofilm that played a role in the resistance of different antibiotics which could
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