Samarra Journal of Pure and Applied Science

The study included evaluation of preptin level and some biochemical parameters in sera of type 2 diabetes patients. The study included (60) samples of type 2 diabetes patients with age ranged between (45-73) years old, as well as (40) of blood samples of apperently healthy individuals as control with ages ranged between (40-70) years old. The results showed a significant increase at (p ≤0.05) in perpetin level of patients (263.43±178.31 ng/ml) compared with control (86.46 ±15.87 ng/ml). Glucose level showed a significant increase at (p ≤0.05) in patients group (245.7 ± 43.5mg/dL) compared with control (89.9 ± 9.7 mg/dL). The results also indicates a significant increase at (p ≤0.05) in sodium and potassium ions levels (161.431± 34.168 and 5.77± 1.90 mmol/L) respectively in patients compared with control (145.241± 19.85 and 3.86± 0.68 mmol/L) respectively. The level of glutathione decreased at (p ≤0.05) significantly in sera of diabetes patients (0.192± 0.070 μmol/l) compared with control (0.379± 0.147μmol/l), while malon dialdehyde level was increased significantly (5.110± 2.833μmol/l) in patients compared with control (1.115 ± 0.762 μmol/l(

The study was performed measuring the level effectiveness of the Glutathione peroxidase in the serum of Hemophilia patients as well as the separation and purification of this enzyme, as it included 48 samples of serum hemophilia patients of both types (40 samples of type A and 8 of type B), in addition to 50 samples of healthy people only male. The results of this study showed a significant decrease at the probability level P≥ 4.45 of the effectiveness of the Glutathione peroxidase in the serum of hemophilia patients of both types. The Glutathione peroxidase was also separated and purified from the serum of those with hemophilia by precipitation of ammonium sulfate and dialysis, and by using the DEAD - Cellulose exchange chromatography technique where a major protein bundle was relied upon which was used to determine the optimal conditions for the partially purified enzyme. The optimum conditions were determined for the partially purified enzyme from the blood serum and were maximum activity of (GPx) at minute (6), acidic function at pH = 8, enzyme concentration 105 μg/ml, concentration of substrate H2O2 0.6 mmol/L temperature(40oC) and that the maximum speed (Vmax) and the Michaelis constant (Km) were equal to 4.9μmol/min and 0.195 mmol/Liter, respectively, using a line –weaver plot diagram

The preparation, spectral characterization and Environmental assessment of a range of metal (II) dithiocarbamate-based complexes are reported. The free dithiocarbamate ligand has been prepared by the reaction of 2,2\'-((ethane-1,2-diylbis(azanediyl)) bis (methylene)) diphenol with CS2 in with CS2 in a ethanolic solution of KOH. Macrocyclic complexes were prepared from the reaction of the metallic transient chlorides with the Dithiocarbamate ligand in an ethanolic medium. The suggested geometries around metal centers were determined using a range of spectroscopic techniques and physicochemical. These include; FTIR, UV-Vis, mass spectroscopy 13C,1H-NMR, magnetic susceptibility measurement, melting point, and Electrical conductivity molar. The spectroscopic and analytical data revealed the formation of Macrocyclic complexes of the first general formula [M(L)]2 ,where M= Fe(II), Co(II), Zn(II), the complexes of these ions are adopt square planar geometries about the metal center and the second general formula [M(L)(H2O)2]2, where M= Mn(II), Ni(II), Cu(II) indicated octahedral structures around metal center. This forbidden ligand has been used to remove the heavy polluting elements in the water.

In this study, some 2,5-disubstituted-1,3,4-oxadiazole compounds derived from Diclofenac acid were synthesized. The work included synthesize of the methyl Diclofenac ester from the Diclofenac acid reaction with excess of absolute methanol (Fischer’s Esterification) and then converting the ester to the Diclofenac acid hydrazide and then reacting the acid hydrazide with some carboxylic acids In the presence of Phosphoryl chloride to obtain offsets 2,5-disubstituted-1,3,4-oxadiazole derivatives (H4-H7). Then the compound (H7) it was possible to react with some primary amines to obtain 2,5-disubstituted-4,3,1-oxadiazole amine compounds. It was diagnosed using FT-IR, 1H-NMR, 13C-NMR and some physical properties. The results of the preliminary evaluation of the biological efficacy against two types of bacteria, the first (Pseudomonas aeruginosa) and the second (Staphylococcus aureus) showed that the synthesized compounds (H4, H6, H11, H12) often had an average inhibitory activity against these two types, while it was observed that the compounds (H7, H8, H9, H10) have good inhibition effect against most of them, both compared to the standard inhibitor used

A new spectrophotometric method is used for estimating Thiamine hydrochloride in its pure form and pharmaceutical formulations, the present method depends on the reaction between Thiamine hydrochloride and chrome azurol S to form a red complex which exhibit maximum absorption at 510 nm, the addition of Sulphite to the resulted red complex is bleaching it and this step was used for the determination of Sulphite which is considered an attacker of Thiamine hydrochloride, therefore, this method was developed for determination of Thiamine hydrochloride in presence of Sulphite. The linearity of the proposed method was obeyed Beer’s law from 2 to 48 and 0.04 to 2.4 ppm for Thiamine hydrochloride and Sulphite respectively. Also, the method sensitivity was measured by molar absorptivity values 5.9×104 l.mol-1.cm-1 and 1.68×104 l.mol-1.cm-1 for Thiamine hydrochloride and Sulphite respectively. The present method accuracy (average recovery) 100.06% and 100.04% the precision (RSD) of the method is ±0.98 - ±1.27% and ±0.76 - ±1.47 of Thiamine hydrochloride and Sulphite respectively. This method was applied for the estimation of B1 and SO32- in pharmaceutical preparations and various water samples respectively.

Computational chemistry is another branch of chemistry that can be used to model the material which is based on the mathematical methods and combined that with the theories of the quantum mechanics. However, in this filed there are two different techniques or categories, classical interatomic potential and the electronic structure methodology. The aim of this paper is to describe how can modelling the structures and energetics of surface and interface processes of minerals surface, using the classical atomistic simulation methods. We will illustrate the types of potentials and some of Codes (Gulp and METADISE) which is needed to do these calculations to elucidate the structures and stabilities as well.

This review was designed to find out the effect of biomarkers used as predictive signs for the diagnosis of cardiac injury on COVID-19 patients and the probability of death. The current literature has been reviewed and some results considered. A systematic literary research has been conducted in Google Scholar, Web of Science and Pubmed for research starting from the date the disease appeared In December 2019 until the beginning of April 2020, the references used research phrases containing COVID-19 and its relationship to predictive indicators of cardiac injury. The results of the citations showed 8 researches related to this topic that used cardiac biomarkers that are high sensitive Cardiac troponin (Hs-cTn) and Natriuretic peptides (NP), creatine kinase type MB (CK-MB) and high sensitive C-reactive protein(Hs-CRP) and lactate dehydrogenase(LDH) with COVID-19 patients. This review concluded that there was a significant increase in cardiac biomarkers in those with COVID-19 who had a medical history of cardiac injury who were more likely to die.

The acute leukemia is a group of malignant disorders of the haemopoietic cells, characteristically related with increases of number of leucocytes in the blood. The present study is aimed to evaluation the expression of immunophenic antibodies which used on blast cells to diagnosis and classification acute leukemia by flow cytometry to define their relationship with age, gender and French-American–British (FAB) subtypes, and assessment complete blood count (CBC) including white blood cells WBCs, hemoglobin HGB, and platelets PLTs, addition to define histological changes of bone marrow biopsy (BMB) of acute leukemia patients. This study included 73 patients were newly diagnosed with acute myeloid leukemia (AML), 60 of them was adults (range 15 –77 years), and the other 13 cases were children (range 1–14 years). The patients divided into three groups: 15-35, 36-55, and 56-77 years, while children patients divided into: 0-4, 5-8 and 9-14 years. The results shown that fever and paleness were the most common clinical feature among acute myeloid leukemia patients ( adults and children).

An experiment was carried out inside the greenhouse of the Agricultural Technology Research Station, University of Perlis Malaysia in Padang Besar, Perlis, Malaysia. In 2015. The aim of the study was to diagnose a role of chelate iron Fe-EGTA 13% and Nitrogen to improving the quality of Soybean seeds (oil and protein content), Cultivated in acidic soil compared to highly acidic soil. The study included four levels of chelate iron Fe-EDTA (0, 0,3, 0,6, 0,9 kg iron Fe-EDTA/ha) and three levels of nitrogen (0, 60, 120 kg N/ha) applied to soil. Acidic and highly acidic soils, and in three repetitions. Data were collected for the studied characteristics, were statistically analyzed, and the means were compared using the least significant difference L.S.D at a probability level of 0.05. The results showed that the addition of chelate iron Fe-EDTA at a level 0.9 kg Fe/ha was a significant increase in the percentage of oil and protein in the seeds compared to the rest of the levels 20.88
and 34.10 % respectively, at the acidic soil and also ta highly acidic soil 20.45 and 34.27% respectively, as well as, at the acidic soil the level of addition of nitrogen 120 kg N/ha significantly superior to the rest of the levels in increasing the percentages of oil and protein 20.18 and 33.20 %
respectively, also ta highly acidic soil 20.08 and 31.72 % respectively. The interaction between the study factors led to significant increase for the percentages of oil and protein, were where gives the interaction between the level of chelate iron 0.6 kg Fe/ha with the level of nitrogen 120 kg N/ha highest mean for oil content in the seeds at acid soils 21.47 %, while the interaction between 0.9 kg Fe/ha with the level of nitrogen 120 kg N/ha in highest oil content in the seeds at the highly acidic soils 20.47% . as well as in mean of protein content in both types of soils 35.78 and 34.30% respectively.

Total petroleum hydrocarbons have been determined in Four stations in Shatt Al-Arab River ( Al-Mashab , Al-Ashar , Abu Al-Kasib , and Al-Faw ). Samples were collected monthly from January to December 2012.The highest concentrations was 17.78 μg/l in February at Al-Mashab and the lowest was 0.22 μg/l in April at Al-Ashar station. Polycyclic Aromatic Hydrocarbons (PAHs) compounds have been studied using the Capillary Gas Chromatography (GC) .The highest concentrations of PAHs (31.11, 29.52, 21.49 and 31.91) ng/l were recorded in Al-Mashab, Al-Ashar , Abu Al-Kasib , and Al-Faw stations respectively at November. Generly PAHs concentrations were higher in all stations during Autumn and Winter whereas it showed a decrease in concentration in both Spring and Summer for all station.

The aim of this research is to analyze the time series of Thalassemia cancer cases by making assumptions on the number of cases to formulate the problem to find the best model for predicting the number of patients in Nineveh governorate using (Box and Jenkins) method of analysis based on the monthly data provided by Al Salam Hospital in Nineveh for the period (2014-2018). The results of the analysis showed that the appropriate model of analysis is the Auto-Regressive Integrated Moving Average (ARIMA) (2,1,0) and based on this model the number of people with this disease was predicted for the next two years where the results showed values consistent with the original values which indicates the good quality of the model.

Several Intrusion Detection Systems (IDS) have been proposed in the current decade. Most datasets which associate with intrusion detection dataset suffer from an imbalance class problem. This problem limits the performance of classifier for minority classes. This paper has presented a novel class imbalance processing technology for large scale multiclass dataset, referred to as BMCD. Our algorithm is based on adapting the Synthetic Minority Over-Sampling Technique (SMOTE) with multiclass dataset to improve the detection rate of minority classes while ensuring efficiency. In this work we have been combined five individual CICIDS2017 dataset to create one multiclass dataset which contains several types of attacks. To prove the efficiency of our algorithm, several machine learning algorithms have been applied on combined dataset with and without using BMCD algorithm. The experimental results have concluded that BMCD provides an effective solution to imbalanced intrusion detection and outperforms the state-of-the-art intrusion detection methods.