Tikrit Journal of Pure Science

The current study was conducted to evaluate the sensitivity of three varieties of water cucumber Syrian, Dutch, French and the effectiveness of three insecticides Joker, Harvest, Chase against the tobacco Bemisia tabaci Meza Tabachi in Hawija area - Kirkuk governorate. In the fall from August to December 2020, and the results showed that the Syrian variety made the varieties resistant to Bemisa tabaci, as it reduced the insect population density to 32.40 adult insects/10 leaves and 28.75 nymphs / 16. cm2 in. As for the French and Dutch cultivars 44.85, 44.38 adults / 10 leaves and 40.77 and 39.95 nymphs / 16 cm2 respectively with insecticidal effect on the insect, the results showed that the joker was the best. More effective in reducing insect populations, where the average density was 32.6 insects/10 leaves and 33.39 nymphs/16 cm2 compared with Shays and Harves, where the average population density was 41, 3 and 47.72. adult. /10 leaves and 36.39 and 39.69 nymph 6 cm2. The lowest population density of insects was recorded in the Syrian cultivar treated with Joker pesticide, with an average of 24.54 insects/10 leaves and 27.26 16 cm nymphs. All pesticides showed better efficiency in reducing insects. One day of spraying, then its efficiency began to decline after the third and seventh days of spraying, while the lowest population density of nymphs was recorded after the seventh day of spraying with pesticides, and the lowest population density was 24.52 insects/10. Leaves and 9.81 nymphs/16 cm2 after the second spray of pesticides compared to the previous period and the first spray with an average population density of 53.91, 33.45 adults/10 leaves and 48, 53 and 21.07 nymphs/16 cm2 respectively. The Joker was marked by low adult population density after 1 and 3 days for each of the first sprays, so what is it? On average, after 1 and 3 days of spraying 3.21, 4.77, 2.76, 3.76 insects/10 leaves, respectively, and for spraying days of nymphs 8.66, 4.88 and 3.88 nymphs were counted. / 16 cm2 each, respectively

Human Adenovirus (HADV) is classified in Adenoviridae family, it is important viral pathogen of respiratory tract infection (RTIs) among children. This study aimed at detecting HADV infections among hospitalized children under 10 years old with respiratory tract infections in Salahaldin Governorate, in addition to compare different diagnostic methods for the detection of this virus.
Nasopharyngel Swabs (NPS) and whole blood samples were taken from 400 hospitalized children between end of August 2013, to the end of May 2014, each sample was analyzed for HADV by real time –PCR, IgM and IgG specific to HADV determining from blood specimens in serum using Enzyme Immuno sorbent assay (ELISA) technique.
Nasopharyngel Swab was more sensitive than the whole blood specimens for the detection of HADV and was identified in 3% by RT-PCR, in 72.2% by IgM – HADV antibodies, 83.1% by IgG-HADV antibodies.
Autumn – Spring periods were considered as the most common time for HADV infection with peak in September and February

The study was conducted for the period between 12/3/2019 to 12/1/2020 in the city of Samarra, and 344 samples were collected for different ages, and the number of injuries was 164, i.e. 47.6%. 18.3% of children of the age group 9-13 were injured by 6.6%. The tests of some biochemical variables showed a significant difference at the level of (0.000) in the low level of zinc in the infected with a mean of (104.2667) compared to the samples of the control group, which amounted to (152.1667). Statistical analysis showed a significant difference at the level (0.000) of iron concentration for those infected with bacteria and with a mean of (89.6667) compared to the samples of the control group, which amounted to (115.5667), while the level of copper did not show a significant difference between the injured and the uninfected persons

A detail sedimentological analysis of the Sarki Formation (Early Jurassic) in Warte and Zarwan sections in the Imbricated Zone, northern Iraq has been conducted for the first time. The Sarki Formation in both studied sections are consisting of dolomite, dolomitic limestone and recrystallized breccia. The petrographic study of the 80 thin sections analyzed in both outcrops showed the skeletal and non-skeletal components. The skeletal components are including ostracods, bivalves and echinoderms. While the main non skeletal grains are peloids, ooids, extraclasts and intraclasts. The diagenetic processes which affected the carbonate rocks of the Sarki Formation was dolomitization, compaction, cementation, micritization, solution and slicification. The result of XRD and SEM of eight samples of dolomite and dolomitic limestone show that the main minerals are dolomite and calcite. In the carbonate rocks nine main microfacies have been identified, which are classified into three facies groupings that correspond to three depositional environments; peritidal, lagoon and high energy shoal within ramp settings.

The research aims to find the suitability of limestone rocks belonging to the Sinjar and Pila Spi Formations in the southwestern part of the Bazian fold in Sulaymaniyah Governorate for building purposes and as a railway ballast stone by conducting some important geotechnical laboratory tests and comparing them with the required standard specifications for building stones and railway ballast stone. Through these tests, it was found that the values of the dry density of the studied samples ranged from (1.87-2.31) (g/cm³), while the values of the water absorption coefficient ranged from (1.84-9.87)%, and the specific weight values ranged from (2.16-2.25), while the values of The unconfined compressive strength ranged between (31-55) MPa in its natural state, and the Flexural strength values ranged from (5.5-11.9) MPa, and the mechanical abrasion percentage values ranged between (24.4%-61.6%). After comparing the values of these properties with the specifications required for building stones and the specifications required for railway ballast stones, it was found that the limestone rocks in the study area are suitable for building purposes, but they are not valid as a railway ballast stone.

The area of the study is located in northern Iraq on the western side opposite the confluence of the Tigris River with the upper Zab tributary, about 45 km southeast of the city of Mosul within the Hamrin-Makhoul zone belonging to the foothills zone within the unstable area. The area contains rocks of many formations ranging in age from the Lower Miocene to the Quaternary, and includes the formations of the Euphrates, Fatha, and Quaternary deposits. Sulfur deposits are present in the Fatha formation within the productive bed which contains three major sulfur-bearing horizons or zones separated by several heterogeneous layers of marly claystone and dolomite limestone of different thicknesses. The formation of sulfur due to the processes of reducing gypsum or anhydrite with the availability of hydrocarbons and the action of anaerobic bacteria, where hydrogen sulfide gas H2S is produced, which is later oxidized by groundwater, forming sulfur ore with the help of other factors represented by tectonic and hydrogeological factors.
The mineral reserves of sulfur deposits were recalculated and estimated using the geostatistical method, as it is one of the modern applications adopted in the Rockwork-14 program, which takes into account the location of each model in relation to the other within the mineral deposits extensions and even outside the boundaries of those extensions, which gives high accuracy and reliability about the amount of reserves depending on the group Among the important criteria, such as thickness, concentration of the ore, and density, the reserve of sulfur in the Mishraq sulfur field-1 was estimated at 121,230,554,68 tons.
The validity and suitability of using the open mine method for extracting sulfur in the study area was discussed based on a decisive and important factor, which is the stripping ratio, which determines the type of appropriate extractive method, and it was equal to 6 for the entire study area, a large value that exceeded the maximum permissible limit of 5. This method is not economically feasible due to the high extractive cost and the presence of sulfur at different depths ranging between 80-230 m as well as the presence of environmental and geological problems that hinder the use of this method in sulfur extraction.
The study was based on the data obtained for a group of (9) exploratory wells that were drilled in the region.

Geological formations areas measurements for immersion level have been got for the Bekhmeh dam reservoir depending on the digital elevation model (DEM) with resolution (10 m) and Global Mapper-GIS software, which deal with the spatial analysis and get the spatial data of the landforms. The immersed area of each geological formation was determined separately for all levels, from the minimum level (380m) to the maximum one (600m) above the sea level, with (1 m) interval
According to these measurements, Aqra-Bekhme and Shiranish formations have the highest value of the immersed areas, with immersion area (46386) m2 and (33183) m2, respectively, which form (19.6%) and (14.01%) respectively of the total immersed area of the reservoir. These two formations were immersed at most of the immersion levels. Those formations consist of hard rocks with low solubility.The lowest value of the immersed area was for (Naopardan and Chile Formation) with an area (79) m2, which forms (0.03%) of the total immersed area; followed by Chia Gara, Barsarin, and Nokelekan formations with an immersed area of (164) m2, which form (0.07%) of the total immersed area .Those formations were immersed at the last three immersion levels (570-600m). The soluble and friable unit, which cause an engineering problems, has low value of the immersed area. That unit represented by Fat'ha Formation, which has an immersed area of (16399) m2, and forms (6.92 %) of the total immersed area. In addition, it is far away from the dam body with (1472) m. These characteristics qualifies this location for reconstruction the dam.

This work investigates CuO and CdS (material as nanoparticles mixed with a polymer (Cellulose Acetate)) – based ReRAM having stable resistive switching. It also investigates a new composition of a memory which is constructed with silicon as a pedestal, silicon oxide SiO2 thermally grown on it and active materials that include of (CuO material as nanoparticles mixed with a polymer (Cellulose Acetate) layer) sandwiched between two electrodes using similar material and CdS layer as a semiconductor n-type. ReRAM memory cell is a structure such as a capacitor that is consist of semiconducting transition metal oxides or insulating exhibiting inverses resistive switching on applying voltage pulses .The mixed material was coated as a thin layer by using Spin-Coating Instrument. this structure can be switched between low- resistance state (LRS) and high resistance state(HRS);therefore, The present structure behaves as unipolar resistive switching. The resistive behavior will be affected by the top electrode area. This effect occurs more in big top electrode area (TEL=15.896mm2) where, the constituting voltage (Vforming) is inversely proportionately with respect to the top electrode area (A) .Also the (HRS) is inversely proportioned with the (A). The complying current (Icc=20mA) is used for protect the device from the damageable. The fabricated composition has many prosperities, such as Vforming = 7.3volt, Vset = 4volt, VReset = 1.7volt, Finally, the resistance ratio (Rratio) is proportioned directly with the(A) and equal Rratio=157.48 so, this ratio is enough to distinguish amongst the low resistance and the high resistance in a circuit design.

The research aims to evaluate the radioactivity of samples of foodstuffs Consumables in the local markets thirteen items were selected which are rice, tea, drinking water, lentils, chickpeas, flour, red bean, crushed chickpeas and milk powder where the concentrations of the specific activity of the chains of uranium (238U), thorium (232Th) and potassium (40K) were measured using a gamma ray spectra analysis system with a high purity germanium (HPGe) detector using a program (Genie 2000) developed, where the results showed that potassium concentrations are clear, and the measurements showed low values for the concentrations of uranium and other natural isotopes, and no values were indicated for the presence of the industrial isotope cesium (137CS), where it was found that the specific activity, which is measured by the unit (Bq/kg) of potassium ((40K) in The studied samples ranged from (BDL -397.977 ± 25.894 ) with a rate of (143.559 ± 10.616), and for uranium 238U (BLD -7.114 ± 0.877) with a rate of (1.904 ± 0.214) and thorium (232Th) B.L.D (Below the detection level ) the radium equivalent Raeq, which is measured by the unit (Bq/kg) whose value ranges from (BDL -37.758) and the rate of (12.959), and the internal hazard index Hin, which is measured by the unit (Bq/kg) (BDL -0.121) was calculated and with rate (0.040), and the annual effective dose of potassium (40K) measured in μSv/y whose values range (BDL -1357.102 ) and an average (489,539) as a result of eating these foodstuffs that were within the permissible level per person in the general public during a year and according to the recommendations of the committee UNSCEAR, where the permissible exposure per person is (1mSv/y).

A dominating set S of a graph G= (V,E), is a subset of the vertex set V (G) such that any vertex not in S is adjacent to at least one vertex in S .The domination number of a graph G denoted by γ (G) is the minimum size of the dominating sets of G. In this paper we introduced the domination numbers of certain prism graphs

The MFO algorithm is one of the modern optimization algorithms based on swarm intelligence, and the SMA algorithm is also one of the latest algorithms in the same field and has the advantages of fast convergence, high convergence accuracy, robust and robust. In this research paper, we introduce an optimized algorithm for MFO based on the SMA algorithm to get better performance using the features in the two algorithms, and two different algorithms are proposed in this field. The two predicted new algorithms were tested with standard test functions and the results were encouraging compared to the standard algorithms

The method of Conjugate Gradient (CG) is a key component of optimization methods that aren\'t bound by local convergence characteristics. In this study, we created KHI3, a novel search direction in the (CG) Algorithm. The novel approach satisfies the regression criterion. The overall convergence of the proposed technique has also been proved utilizing Wolff search line words. A new algorithm for solving the large-scale unconstrained optimization issue is particularly successful.

The Concepts of supra topological graph and introduces of class supra separation axioms on supra topological graph (supra gT0, supra gT1,supra gT2,supra gT3,supra gT4), many relations among them were studied. Gave results for them

With the rapid spread of the Corona virus in most parts of the worldwide, it has become necessary to find solutions to contain and treat this epidemic. This research presents a method to predict the occurrence of COVID-19 based on different symptoms of the disease, using non-clinical methods such as artificial intelligence, to help medical staff, save the cost of testing (PCR), and get results in a short time. Artificial intelligence provides many tools for data analysis, statistical analysis, and intelligent research. In this paper, we focus on predicting COVID-19 infection, using Artificial Neural Networks (ANN), random forests and decision trees, to effectively analyze medical datasets, based on the most common and acute symptoms, such as cough, fever, headache, diarrhea, living in infected areas Pain and shortness of breath. Breathing, chills, nasal congestion and some other symptoms of the disease. A data set consisting of (1495) patients is used to determine whether or not a person has this disease, after determining the symptoms that appear on it. The data set is divided into 75% of the training data and 25% of the test data after applying deep learning algorithms. Python libraries such as pandas, NumPy, and matplotlib are also used in addition to sklearn and Keras. The search results show very high accuracy indicated by 91% of Random Forest with estimators = 200 and 91% of the decision tree. the accuracy of an artificial neural network is 85%. Thus, this research provides an important indicator for the possible prediction of COVID-19 infection.

The aim of this paper is to present the concepts of 〖bi〗^i-supra continuous function, 〖bi〗^i-semi supra continuous function, 〖bi〗^i-regular open set and 〖bi〗^i-regular semi supra open set in 〖bi〗^i-supra topological space. We studied relations between these functions and check up from some of its characteristics.