The current study aimed to detect artificial fraud in chemical additives (formalin, hydrogen peroxide) and to detect thickeners (starch) in imported and local dairy products and to determine their suitability for human consumption due to the high demand for their consumption by members of society, 20 samples of products were collected The local and imported milk in the Iraqi markets of the city of Baghdad consisted of 10 samples of yoghurt and 10 samples of cream. The tests were carried out, which were the detection of chemicals and additive thickeners such as formalin, hydrogen peroxide and starch, respectively, as well as the examination of the microbial load, which included the detection of colon bacteria, yeasts and molds, and the results showed that they contained Sample (20) contained formalin, and each of the samples (6,7,8,11,17,20) contained hydrogen peroxide, and samples (3,4,5,8,17) contained starch as for the microbial load. The results showed that all samples were free of coliform bacteria, yeasts and molds on day zero, but after preservation for 5 days in the refrigerator at a temperature of ºC (5), it showed the presence of growth of colon bacteria and molds The yeasts except samples (6,7,8,11,17,20) were characterized as being free, and the reason may be due to the presence of formalin and hydrogen peroxide in the samples.
In this paper, integrated quantum neural network (QNN), which is a class of feedforward
neural networks (FFNN’s), is performed through emerging quantum computing (QC) with artificial neural network(ANN) classifier. It is used in data classification technique, and here iris flower data is used as a classification signals. For this purpose independent component analysis (ICA) is used as a feature extraction technique after normalization of these signals, the architecture of (QNN’s) has inherently built in fuzzy, hidden units of these networks (QNN’s) to develop quantized representations of sample information provided by the training data set in various graded levels of certainty. Experimental results presented here show that
... Show MoreThis work intends to illustrate the methods of using the authentic literary text in the process of spreading Italian, especially in Baghdad where there is a strong propensity to learn the Italian language. The concept of the language that arises from literature is an idea closely linked to the mentality of the Arab learner towards Italian culture: an idea also created by the first Arabisations of literary texts in the early years of the previous century. The research was carried out in Baghdad by two researchers, an Italianist from Baghdad and an Italian mother language linguist, with the aim of bringing together the two sectors in favor of the diffusion of the Italian language. The study also aims to clarify the models from Italian l
... Show MoreThis study aims to develop a recommendation engine methodology to enhance the model’s effectiveness and efficiency. The proposed model is commonly used to assign or propose a limited number of developers with the required skills and expertise to address and resolve a bug report. Managing collections within bug repositories is the responsibility of software engineers in addressing specific defects. Identifying the optimal allocation of personnel to activities is challenging when dealing with software defects, which necessitates a substantial workforce of developers. Analyzing new scientific methodologies to enhance comprehension of the results is the purpose of this analysis. Additionally, developer priorities were discussed, especially th
... Show MoreIn this manuscript, the effect of substituting strontium with barium on the structural properties of Tl0.8Ni0.2Sr2-xBrxCa2Cu3O9-δcompound with x= 0, 0.2, 0.4, have been studied. Samples were prepared using solid state reaction technique, suitable oxides alternatives of Pb2O3, CaO, BaO and CuO with 99.99% purity as raw materials and then mixed. They were prepared in the form of discs with a diameter of 1.5 cm and a thickness of (0.2-0.3) cm under pressures 7 tons / cm2, and the samples were sintered at a constant temperature o
... Show MoreThe study of cuneiform texts is very important for finding out the ancient history of Iraq and its civilization, as well as the close relation among languages, especially Semitic, the mother language to which both Akkadian and Arabic belong, the matter that clarifies the linkage among them. The Akkadian language is among these Jazri (a Semitic branch) languages, besides Arabic. It is the most ancient one. It consisted of a lot of genuine linguistic rules derived from the mother Jazri language. Contrastive Akkadian studies approved these linguistic rules. Due to the close linkage that relates Akkadian language to its sister Arabic , as they both relate to the same family, the researcher an verbs and compared them with studied aspects and moo
... Show MoreAbstract The current research aims to identify the most prominent beliefs about coronavirus of Baghdad University students, as well as to identify the prominent beliefs toward coronavirus of male and female students. To achieve the research objectives, a questionnaire of (15) items was administered to a sample of (600) male and female students collected from ten different colleges at the university of Baghdad. The findings of the research illustrated that item (8) took priority as students believe there is a misleading about coronavirus spreading by governments, item (2) which indicated that coronavirus is man-made took level two, followed by item (10), it proposes that coronavirus emerged from the American military base in china. Additiona
... Show Moreالكتابة عن الأندلس بعد تسليم مدينة غرناطة يحمل في ثناياه ألم كبير، لأن الأندلسيين عاشوا تجربة إنسانية قاسية سببها الأساس غياب التسامح الديني والعدالة الاجتماعية، الأمر الذي دفعهم للثورة مطالبين بحقوقهم التي نصت عليها معاهدة تسليم المدينة. فقد عاش أولئك حياة صعبة ، فكانوا صورة للصراع بين حضارتين الإسلامية والغربية ، ويمكن تلمس ذلك الصراع من خلال دراسة ثوراتهم ضد السلطة الحاكمة التي يبدو من تتبع أح
... Show MoreThis study aims to examine the effectiveness of prompt engineering in enhancing the accuracy of knowledge retrieval for Islamic texts using artificial intelligence techniques. The research employs a descriptive-analytical approach to analyze current search mechanisms and test new models based on prompt engineering. The study is divided into three main sections: the general framework of the research, the theoretical framework of the role of prompt engineering, and an analysis of the applications of artificial intelligence in Islamic Jurisprudence. The findings indicate that prompt engineering significantly improves the accuracy of search results, enhances search efficiency, and reduces biases, emphasizing the importance of collaboration betw
... Show MoreThe aim of this paper is to design suitable neural network (ANN) as an alternative accurate tool to evaluate concentration of Copper in contaminated soils. First, sixteen (4x4) soil samples were harvested from a phytoremediated contaminated site located in Baghdad city in Iraq. Second, a series of measurements were performed on the soil samples. Third, design an ANN and its performance was evaluated using a test data set and then applied to estimate the concentration of Copper. The performance of the ANN technique was compared with the traditional laboratory inspecting using the training and test data sets. The results of this study show that the ANN technique trained on experimental measurements can be successfully applied to the rapid est
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