Al- Masab AL-Aam canal (or the Main Drain) is a vital strategic project in Iraq. It collects the drain water from the agricultural lands and drains to the Arabian Gulf via Shatt Al-Basra. Fifteen water samples were collected from different sites along the course of the Al- Masab Al-Aam canal southern sector extending from Nasiriyah Basra to evaluate the hydrochemical properties. The variation of the sediment’s texture along the southern sector was investigated. The results reflected that the sediment is characterized by the presence of sand, silt, and clay. It is noted that the amount of salt in the water increases during the summer when temperatures are rising, and consequently, the evaporation rate increases. Changes in the saturatio

     In this work, the annual behavior and cross-correlation between three different solar-ionospheric indices were evaluated: Smoothed Sunspot Number (SSN), Ionospheric T-Index (T-index), and Solar Flux (F10.7 cm) index during solar cycles 23 and 24. The annual behavior for the three tested indices of the maximum and minimum years of the two solar cycles was studied. The correlative conducts between the studied indices were evaluated for the studied periods (1996-2008) and (2008-2019) of the 23rd and 24th solar cycles. The annual correlation between the studied indices was represented by the linear regression equation. The suggested mutual correlation equation gave a good agreement with the observed annual average values of the test

A description of the implementation of integrated practical work in a remote laboratory was presented in this paper. The student, in real time, can access an online web page in order to manipulate a practical work of digital electronics. This work is based on the use of an embedded system PcDuino. The hardware architecture and software solutions are described, as well as the supervision tool that allows the student to follow changes in the output states of the Practical Work remotely.

The 2D resistivity imaging technique was applied in an engineering study for the investigation of subsurface weakness zones within University of Anbar, western Iraq. The survey was carried out using Dipole-dipole array with an n-factor of 6 and a-spacing values of 2 m and 5 m. The inverse models of the 2D electrical imaging clearly show the resistivity contrast between the anomalous parts of the weakness zones and the background resistivity distribution. The thickness and shape of the subsurface weakness zones were well defined from the 2D imaging using Dipole-dipole array of 2 m a-spacing. The thickness of the weakness zone ranges between 9.5 m to 11.5 m. Whereas the Dipole-dipole array with a-spacing of 5 m and n-factor of 6 allocated

This research studied the effects of modified BaTiO₃ (BT) nanoparticles with coupling agent γ-APS (0.5wt. %) on the tensile and thermal conductivity of epoxy nanocomposites with respect to content (0.25, 0.5, 0.75, 1, 3 and 5wt. %). Multiwall carbon nanotubes (MWCNTs) at different concentration (0.2, 0.4, 0.8 and 1 wt. %) were added to the BaTiO₃/epoxy nanocomposites. The influence of MWCNTs on the tensile properties and thermal conductivity was investigated. The tensile strength and Young’s modulus of BaTiO₃/epoxy nanocomposites film were increased at up to 3 wt. % of added BT, but  adding BT at more than 3 wt.% decreased the strength of epoxy. The tensile strength was increased with incre

     Bodies of water are usually being polluted by wastes from domestic and industrial sources thereby making them unfit for use. Hence, this study aimed at assessing the water quality from Asa River, Ilorin, Nigeria in terms of bacteriological and physicochemical parameters. The bacteriological parameters assessed were heterotrophic bacterial count, total coliform, faecal coliform, identification of the isolates, antibiotic resistance patterns, and plasmid profile of the isolates.  Whereas, the assessed physicochemical parameters were pH, total chloride, suspended solid, and total hardness. The heterotrophic bacterial count, total coliform, and faecal coliform counts ranged from 7.6 x 10³ to 3.2 x 10⁶ cfu/ml,

This study is dedicated to investigate the effects of initial laser intensity on the nonlinear optical properties of the laser dye DQOCI dissolved in methanol with a concentration of 10 ^-5 M and doped with PMMA film. The properties were studied by using open and closed aperture Z-scan technique, with different levels of initial intensity (I₀), excited by continuous diode solid-state laser at a wavelength of 532 nm. Three lenses of different focal lengths were employed to change the radius of the Gaussian laser beam and then change the initial intensity. For I₀= 6.83 and 27.304 kWatt/cm², the Z-scan curves show a saturation of absorption (SA) known as the negative type of nonlinearity, in which

16S ribosomal RNA (16S rRNA) gene sequences used to study bacterial phylogeny and taxonomy have been by far the most common housekeeping genetic marker utilized for identification and ancestor determination. This study aimed to investigate, for the first time, the relationship between Klebsiella spp. isolated from clinical and environmental samples in Iraq.

Fifty Klebsiella spp. isolates were isolated from clinical and environmental sources. Twenty-five isolates were collected from a fresh vegetable (Apium graveolens) and 25 from clinical samples (sputum, wound swab, urine). Enteric bacteria were isolated on selective and differential media and identified by an automatic identification system, vitek-2.

     A global pandemic has emerged as a result of the widespread coronavirus disease (COVID-19). Deep learning (DL) techniques are used to diagnose COVID-19 based on many chest X-ray. Due to the scarcity of available X-ray images, the performance of DL for COVID-19 detection is lagging, underdeveloped, and suffering from overfitting. Overfitting happens when a network trains a function with an  incredibly high variance to represent the training data perfectly. Consequently, medical images lack the availability of large labeled datasets, and the annotation of medical images is expensive and time-consuming for experts. As the COVID-19 virus is an infectious disease, these datasets are scarce, and it is difficult to get large datasets

     Inflammatory bowel disease (IBD) is a chronic inflammatory disorder,  the etiology and pathogenesis of which have been suggested to be influenced by cytokines. Two main clinical types of IBD are recognized, namely ulcerative colitis (UC) and Crohn's disease (CD). The present study examined serum levels of two cytokines (IL-17A and IL-23) in 60 IBD patients (30 UC and 30 CD) and 30 healthy controls. The levels were correlated with age, gender, cigarette-smoking status, disease duration, family history, disease extension, symptoms, extra-intestinal manifestations, and medication. The results depicted that IL-17A level was significantly higher in UC and CD patients compared to control (45.2 ± 23.3 and 47.5 ±

This study was conducted to investigate the antibacterial activity of green synthesized copper oxide nanoparticles (CuO NPs) using Aloe vera. Initially, bacteria were collected from clinical samples of patients having otitis media infection and the isolates were identified at the species level following biochemical tests. Copper oxide nanoparticles were prepared by green synthesis using Aloe vera leaves and characterized using UV- visible spectroscopy at 260 nm peak. The shape and size were determined by using transmission electron microscopy (TEM) and the dimensions of the particles were more precisely determined by using scanning electron microscopy (SEM) and x-ray diffraction (XRD). Different concentrations of nanopa

Detection and classification of animals is a major challenge that is facing the researchers. There are five classes of vertebrate animals, namely the Mammals, Amphibians, Reptiles, Birds, and Fish, and each type includes many thousands of different animals. In this paper, we propose a new model based on the training of deep convolutional neural networks (CNN) to detect and classify two classes of vertebrate animals (Mammals and Reptiles). Deep CNNs are the state of the art in image recognition and are known for their high learning capacity, accuracy, and robustness to typical object recognition challenges. The dataset of this system contains 6000 images, including 4800 images for training. The proposed algorithm was tested by using 1200

This study was carried out in Kalar technical institute, Sulaimani Polytechnic University in Garmian region, Iraq during 2016-17 and 2017-18 seasons. Five hybrid genotypes of barley were tested under drought and irrigated conditions to detect the flag-leaf specific weight, chlorophyll content index (SPAD; The Soil Plant Analysis Development chlorophyll meter) and the period from anthesis to physiological maturity. Across both years 2016-17 and 2017-18, there was no effect of drought on flag-leaf specific weight, however, SPAD was reduced by 4.77 and the period between anthesis and maturity was shortened by almost two days. Genotype 3//14 scored the highest values of flag-leaf specific weight (7.765 mg cm^-2)and SPAD (25.56), an

Unsaturated polyester toughened Epoxy was developed. Epoxy resin had toughened by weight fraction of 10, 20, 30, and 40 wt. % unsaturated polyester. FTIR spectroscopy has been used to investigating the intermolecular hydrogen bonding. Unsaturated polyester–epoxy matrices were characterized for their thermal properties. The FTIR test detected a peak shift of the functional groups which can explain cross-linking occurs between the two resins. The crosslinking between epoxy and unsaturated polyester confirmed via the existence of the stretching asymmetrical C-C band and contraction of the  C-O band. The DSC test demonstrated that glass transition temperature value decreases with epoxy strengthening. The specific heat capacity and the

      Multiple sclerosis (MS) is one of an autoimmune condition with uncertain etiopathology. According to new data, ABO system had played a role in the development and understanding numerous diseases. Lower level of 25-hydroxy vitamin D3 (25-OHD3) is considered as a risk factor for MS. The aims of this study is to identify the role of blood group distribution on the levels of parathyroid hormone (PTH), 25-OHD3, total calcium, inorganic phosphorus and total magnesium on MS patients. Additionally, we assessed the relation between Expanded Disability Status Scale (EDSS) and study parameters in patients. The Study included 107 patients with MS were distributed in to four groups according to their blood group (A, B, AB, and O).  Additi

     Scattering and Absorption Efficiencies of Si-Ag Coaxial nanowire (NWs) were simulated using Mie-Lorentz scattering approach. The thickness of Ag shell was fixed at around 10 nm with Si core diameter of (10, 20, 30 and 40) nm.  Scattering Efficiencies  and Absorption Efficiencies  of core-shell nanowire as a function of wavelength (300-2000 nm) within various core diameters were calculated. The study shows a remarkable behavior of scattering for un-polarized light in Silicon nanowire (core only) with wavelength of (320- 500nm). In other words, adding Ag shell has decreased the scattering efficiency of core-shell nanowire for all diameters.

Recent researches showed that DNA encoding and pattern matching can be used for the intrusion-detection system (IDS), with results of high rate of attack detection. The evaluation of these intrusion detection systems is based on datasets that are generated decades ago. However, numerous studies outlined that these datasets neither inclusively reflect the network traffic, nor the modern low footprint attacks, and do not cover the current network threat environment. In this paper, a new DNA encoding for misuse IDS based on UNSW-NB15 dataset is proposed. The proposed system is performed by building a DNA encoding for all values of 49 attributes. Then attack keys (based on attack signatures) are extracted and, finally, Raita algorithm is app

This study concentrates on the analysis of 2D seismic reflection surveying data obtained from a seismic line characterized by a considerable amount of noise and reverberations. The goal is to enhance data quality by employing the surface-consistent deconvolution technique, which encompasses two variations; gapped and spike deconvolution. The unique applications offered by utilizing the Global Claritas software to achieve optimal outcomes, which assist in the quality of seismic data analysis and interpretation. Several tests were carried out on the seismic data, revealing that the application of Spike deconvolution with an operator length of 220 milliseconds and a prediction lag of 2 milliseconds led to enhancements in the data. This proc

This research aims to determine the extent of change in the vegetation cover of the Al-Suwaira region in the period 2017-2023, as this region faces many problems, the most important of which are urban expansion at the expense of agricultural land, soil erosion, climate change, pollution. The region is located in southern Iraq, where water resources are scarce compared to the northern and central parts. The Support Vector Machine (SVM) classifier was applied to the seven scenes adopted in this work from Landsat 8 and Landsat 9 satellite data, and the area and percentage of each land cover category in the study area were calculated. The results indicated that the percentage of vegetation cover during 2017-2023 decreased by 1% annually usin

The spectral remote sensor technology was used to study the Kurdistan region of Iraq to determine the characteristics of surface minerals and by analyzing satellite images across multiple spectral ranges, distinctive spectral signatures were specified for several metals such as zinc (ZN), Lead (PB), and Parium (BA), as well as the use of thermal infrared to detect free abnormalities and the results were verified through field measurements and admonitory, where the selection accuracy was 85% according to the absolute error (MAPE) and 0.045 for RMSé and the results showed that spectral signatures for metals were distributed in nearby and remote IR ranges, helping to determine mineral sediments such as zinc and lead in carbonate rocks and

An optimization method is suggested in this paper to improve the learning process in the artificial neural network algorithm (ANN). There are three phases included in the optimisation process: the breaking ANN process, an evolutionary algorithm (EA), and the combining ANN process into a new powerful feedforward artificial neural network (FANN). ANN breaks into multiple ANNs to facilitate and accelerate the optimization process in the EA phase. EA enhanced the ANNs, starting with a selection step by sorting ANNs based on the obtained accuracy for each ANN; the crossover step exchanges the characteristics between the best and worst ANN, and the rest of the ANNs are enhanced by the mutation process. Distinguishing the type of human activity

The video summarization abstracts the essential information of video content. This paper proposed a new video abstraction method to extract meaningful video frames. The proposed method encompasses the following stages: the extracted frames are converted to grayscale images. The quality of the frames is assessed using the NIQE method. The feature vector for each frame is obtained using the kurtosis moment, and the difference between two consecutive feature vectors is calculated. The DBSCAN algorithm is applied to classify these difference values, recording any temporal transitions when a difference value is identified as an outlier. Finally, the frame with the highest NIQE value in each segment is compiled into the video abstraction. The

     Understanding Caspase-3 (CASP-3) and interleukin-32 (IL32) roles in SARS-CoV-2 infection is critical to linearize the pathogenesis of the virus as well as the resultant disease which may uncover novel therapeutic targets in treating COVID-19 patients. This study aimed to evaluate caspase‐3 (CASP3) and interleukin 32 (IL32) roles and their correlation with the disease severity among patients.  The case-control study (140 patients and 60 healthy controls) was performed with molecular and ELISA assays. CASP3 and IL32 serum levels were determined along with other clinical data of patients. CASP3 levels were classified as significantly higher (p < 0.001), while IL-32 levels were significantly lower in production (p

Integration between acoustic impedance (AI), and petrophysical and mechanical properties of reservoir rocks provides a significant and substantial interpretation of lithology and fluid type discrimination in oil fields. An application of AI to define lithology, fluid type, and diagenetic history processes of Facha reservoir (Gir Formation, Lower Eocene) quality Dahab Oil Field in Western Sirte Basin, Libya. Thus, analyzing the data from three oil wells to calculate the reservoir properties: porosity (ø), water saturation (Sw), velocity ratio (Vp/Vs), Poisson's ratio (PR), and AI. Cross-plots of Vp/Vs – AI, Bulk density (ρb) – AI and PR – AI with the ø and Sw influence illustrate four rock compounds of the Facha reservoir. Meanwh

In order to classify a image texture it must be segmented into a number of
regions. each region have the same properties. a circular mask has been used. after
the required region is obtained a intensity histogram and then as set of histogram
features has been calculated in order to classify the required images.
The statistical features of a mammogram are extracted using image processing
techniques. The extracted statistical features are the mean, standard deviation,
smoothness, third moment uniformity and entropy for each of the histogram
intensity and first order statistic a compare between the two

In this paper, an adaptive selective predictive coding method is proposed for
intraframe coding techniques. The adopted techniques overcome the complexity
residual ideal case (i.e., residual does not become random noise) where the residual
still suffers from the existence of redundancy. The suggested techniques attempt to
sift over any redundancy embedded in the residual where the quality improves than
that of traditional predictive coding, selective predictive coding and of fixed
predictor coding.

Four major factories (Petroleum Refineries Company, Detergents Plant, Thermal Power Plant, and Gaseous Power Plant) are located to the north of Baiji City. They release pollutants in form of gases, liquids and solids; they find their way to the surrounding environment. To assess the environmental pollution of the area, 18 samples of surface soil distributed around the industrial establishments were collected and analyzed to determine the concentration of polycyclic aromatic hydrocarbons (PAH) components which are often targets in the environmental checking. Identification and quantification of the 16 PAHs components was accomplished using High Performance Liquid Chromatography (HPLC) had a model Shimadzu LC-10 AVP. The total concentratio

Nowadays, there are a huge number of video colorization methods. This is because in the gray scale image one value (gray) must be converted into three corresponding values (RGB). In this paper, some of these methods have been presented and discussed. Then, different comparisons have been established between these methods and the results demonstrate the efficiency of each method.

It is evident from this study that Yamama Formation is reservoir rocks and source rocks at the same time, based on occurrences of crude oil and source rocks. Bulk properties of Yamama oil in six wells as well as comparing several samples of Yamama oil by using the biological mark have indicated multi source of hydrocarbons with some pay having Jurassic and Lower Cretaceouse source affinity that belongs to the Yamama Formation.

The study was conducted at Field Crop Department Farms , College of Agriculture-University of Tikrit. The objective was to study the effect of several leaves defoliation : Non defoliation (control)D1, defoliation of lower 25% D2, upper 25% D3, lower 50% D4, upper 50% D5 of plant leaves ,defoliation of 25 D6, 40 D7 and 50% D8 of plant leaves along stem , and defoliation of all plant leaves D9. that took place at two stages of plant growth : Vegetative growth to head formation (R1) , and the period from heads opening to flowering on seed yield and its components of sunflower var. Euroflor. The experiment was designed according to RCBD with three replications. Agricultural practices were made according to recommendations. Results showed tha