Information on the scorpions' fauna of Iraq is limited especially in Thi Qar Province. The scorpion specimens of the present study were collected from the desert area which is located between the provinces of Thi Qar and Al-Muthana (Al-Kata'a region). The Scorpio kruglovi (Birula, 1910) redescribed in this study was found in this area. The diagnostic characters are given and the important features are figured.

The isolation and characterization of Escherichia coli O157:H7 strains from 22 out of 174 fecal samples from petting zoo animals representing twenty‐two different species (camel, lion, goats, zebra, bear, baboon monkey, Siberian monkey, deer, elk, llama, pony, horses, fox, kangaroo, wolf, porcupine, chickens, tiger, ostrich, hyena, dogs, and wildcats) were investigated. One petting Al‐Zawraa zoological society of Baghdad was investigated for E. coli O157:H7 over a 16‐month period that spanned two summer and two autumn seasons. Variation in the occurrence of E. coli O157:H7‐positive petting zoo animals was observed, with animals being culture pos

Means the current research to study the organization formal and its role in demonstrating aesthetic values of the publications issued by the Telecommunications Company (Asia Cell) in Iraq, where is the organization the formal need for a mission to find the concepts and dimensions of the functional and expressive and aesthetic added to the impact of the actor in achieving the goals set for the publication.
The target is determined by the researcher to disclose the role of formal organization to show the aesthetic values of the publication to reach scientific results

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      Büyük dil bilgini Kaşgarlı Mahmud’un Divan-ı Lugat-it Türk isimli muazzam eseri, 1910’a kadar adı bilinen, fakat kendisi meçhul bir eserdi. Diğer bir deyişle, o zamana değin, eserin sadece adı vardı, fakat kendisi ortada yoktu. Eser, bugün bütün dünyada biliniyor, hakkında kitap, makale yazılıyor ve üzerinde tartışmalar yapılıyorsa, bunu büyük kitap aşığı, ilim ve kültür sevdalısı Ali Emiri Efendi’ye borçluyuz. Ali Emiri Efendi, Abbasi Halifesine sunulmak üzere Bağdat’ta 1072-1074 yıllarında Kaşgarlı Mahmud tarafından yazılan bu muhteşem eseri, sahaflarda Divan-ı Lugat-it Türk olduğu bilinmeden satılı

The preparation of activated carbon (AC) from date stones by using microwave assisted K2CO3 activation was investigated in this paper. The influence of radiation time, radiation power, and impregnation ratio on the yield and methylene blue (MB) uptake of such carbon were studied. Based on Box-Wilson central composite design, two second order polynomial models were developed to correlate the process variables to the two responses. From the analysis of variance the significant variables on each response were identified. Optimum coditions of 8 min radiation time, 660 W radiation power and 1.5 g/g impregnation ratio gave 460.123 mg/g MB uptake and 19.99 % yield. The characteristics of the AC were examined by pore structure analysis, and scan

The use of biopolymer material Chitosan impregnated granular activated carbon CHGAC as adsorbent in the removal of lead ions  pb.2+   from aqueous solution was studied using batch adsorption mode. The prepared CHGAC was characterized by Scanning Electronic Microscopy (SEM) and atomic-absorption  pectrophotometer. The adsorption of lead ions onto Chitosan-impregnated granular activated carbon was examined as a function of adsorbent weight, pH and
contact time in Batch system. Langmuir and Freundlich models were employed to analyze the resulting experimental data demonstrated that better fitted by Langmuir isotherm model than Freundlich model, with good correlation coefficient. The maximum adsorption capacity calculated f

<p>Analyzing X-rays and computed tomography-scan (CT scan) images using a convolutional neural network (CNN) method is a very interesting subject, especially after coronavirus disease 2019 (COVID-19) pandemic. In this paper, a study is made on 423 patients’ CT scan images from Al-Kadhimiya (Madenat Al Emammain Al Kadhmain) hospital in Baghdad, Iraq, to diagnose if they have COVID or not using CNN. The total data being tested has 15000 CT-scan images chosen in a specific way to give a correct diagnosis. The activation function used in this research is the wavelet function, which differs from CNN activation functions. The convolutional wavelet neural network (CWNN) model proposed in this paper is compared with regular convol