Background: It was found that the occurrence of Guillain-Barre Syndrome (GBS) varies in respect to
the month and season; this variation has not been adequately studied.
Objective: To determine the month and seasonal variation of GBS in children in the Khuzestan
province, south west Iran, during a 10-year period (2006-2015).
Patients and methods: We extracted data retrospectively from acute flaccid paralysis committee
from healthcare centers in all cities of the province, over a 10-year period (from January 1, 2006 to
December 31, 2015). In this study all children under 15 years of age with Guillain-Barre syndrome
were surveyed. In order to compare the frequency of GBS in different seasons and months we used the
Ch

      A 3D velocity model was created by using stacking velocity of 9 seismic lines and average velocity of 6 wells drilled in Iraq. The model was achieved by creating a time model to 25 surfaces with an interval time between each two successive surfaces of about 100 msec.  The summation time of all surfaces reached about 2400 msec, that was adopted according to West Kifl-1 well, which penetrated to a depth of 6000 m, representing the deepest well in the study area. The seismic lines and well data were converted to build a 3D cube time model and the velocity was spread on the model. The seismic inversion modeling of the elastic properties of the horizon and well data was applied to achieve a corrected veloci

    Ferns are considered as important medical herbs. They produce a wide range of secondary metabolites that could be useful in treating different diseases. However, they still remain underexplored in medical aspects in Iraq. Hence, the purpose of this study was to identify alkaloids components in the methanol extracts of four fern species (Asplenium ceterach L., A. scolopendrium L., Cheilanthes pteridioides (Richard) C. Chr. from Malakan region in Erbil Governorate and Equisetum ramosissimum Desf. from Chemi Rezan in Sulaimaniyah Governorate,  of northen Iraq during March - June 2018. The research was conducted by using High performance liquid chromatography (H

Background: Tap waters play an important role in fulfilling the people needs for drinking and domestic purposes. Contaminate the tap water with different pollutants has become an issue of great concern for 90% of people who are depended on the tap water as the main source of drinking. Pollutants can make their way easily into the delivering pipes which suffer from the leaking resulting in decreasing the quality of water. Objective: Therefore, assess the water quality for drinking purpose by calculating the water quality index is an important tool to ascertain whether the water is suitable for human consumption or not. Methods: In the present work, the water quality of the Al-Salam, western region of Baghdad city, Iraq was investigated for 7

This work represents study the rock facies and flow unit classification for the Mishrif carbonate reservoir in Buzurgan oil Field, which located n the south eastern Iraq, using wire line logs, core samples and petrophysical data (log porosity and core permeability). Hydraulic flow units were identified using flow zone indicator approach and assessed within each rock type to reach better understanding of the controlling role of pore types and geometry in reservoir quality variations. Additionally, distribution of sedimentary facies and Rock Fabric Number along with porosity and permeability was analyzed in three wells (BU-1, BU-2, and BU-3). The interactive Petrophysics - IP software is used to assess the rock fabric number, flow zon

The content of redox sensitive trace element (V, Co, Ni, and Mo) in the bituminous limestone of the Euphrates Formation (E. Miocene) and bituminous gypsum of the Fatha Formation (M. Miocene) in the Hit Abu-Jir village area, Anbar governorate were determined using Inductively-Coupled Plasma Mass Spectrometer (ICP-MS), in order to infer the origin of the hydrocarbon and the depositional conditions of the organic matter. Hydrocarbons species by using FTIR technique was identified as aliphatic, aromatic compound, hydroxyl acids, hydroxyl group, sulfoxide and sulfur. Bitumen occurrences in these formations is a result of the hydrocarbon seepages that moved up under high pressure along the Abu-Jir fault Zone, and then were intruded in the lime

This study deals with the processing  of field seismic data for a seismic line located within the administrative boundaries of Najaf and Muthanna governorates in southern Iraq (7Gn 21) with a length of 54 km. The study was conducted within the Processing Department of the Oil Exploration Company using the Omega  system, which contains a large number of programs that deal with processing, through the use of these programs applied  predictive deconvolution  of both( gap) and (spike). The final section was produced for both types. The gap predictive deconvolution  gave improvement in the shallow reflectors while in deep reflectors it did not give a good improvement, thus giving a good continuity of the reflectors at

Image pattern classification is considered a significant step for image and video processing.Although various image pattern algorithms have been proposed so far that achieved adequate classification,achieving higher accuracy while reducing the computation time remains challenging to date. A robust imagepattern classification method is essential to obtain the desired accuracy. This method can be accuratelyclassify image blocks into plain, edge, and texture (PET) using an efficient feature extraction mechanism.Moreover, to date, most of the existing studies are focused on evaluating their methods based on specificorthogonal moments, which limits the understanding of their potential application to various DiscreteOrthogonal Moments (DOMs). The

Image pattern classification is considered a significant step for image and video processing. Although various image pattern algorithms have been proposed so far that achieved adequate classification, achieving higher accuracy while reducing the computation time remains challenging to date. A robust image pattern classification method is essential to obtain the desired accuracy. This method can be accurately classify image blocks into plain, edge, and texture (PET) using an efficient feature extraction mechanism. Moreover, to date, most of the existing studies are focused on evaluating their methods based on specific orthogonal moments, which limits the understanding of their potential application to various Discrete Orthogonal Moments (DOM