Background: preeclampsia is characterized by endothelial dysfunction with vasoconstriction due to cell adhesion molecules or mediators released by defective placentation. Soluble platelet selectin, one of the cell adhesion molecules, is elevated in many inflammatory conditions including preeclampsia.
Objective: To investigate if soluble platelet-selectin levels can be used as a marker for adverse outcomes in pregnancy complicated with sever preeclampsia
Patients and methods:This study involved 115 pregnant women in their third trimester of pregnancy; divided into Group A: involves 25 pregnant women with preeclampsia complicated by intrauterine growth restriction.Group B: involves 35 pregnant women with preeclampsia without intrauterine growth restriction.Control group: involve 55 pregnant women with normal blood pressure and normal fetal growth .The data were conducted from patients by special questionnaire, this involve name, age, parity, examination included vital signs, abdominal, obstetrical examination and investigations including :Liver function test, Renal function test, Complete blood picture and maternal serum levels of soluble platelet selectin was measured by enzyme-linked immunosorbent assay ,albumin in urine and serial obstetrical ultrasound scan to confirm the diagnosis of intrauterine growth retardation and Doppler study to determine fetuses at risk .
Results: this study revealed a significantly higher concentration of soluble platelet selectin levels in serumofpreeclamptic women with and without intrauterine growth retardation versus normotensive and normal fetal growth. The maternal serum levels of sP-selectin in preeclampsia without intrauterine growth restriction were significantly higher than preeclampsia complicated by intrauterine growth restriction .Sensitivity was 91.7% and specificity 100% at cut off value 6.975 ng/ml of maternal soluble platelet _selectin for prediction of adverse pregnancy outcome .
Conclusion: soluble platelet -selectin levels have a positive significant correlation with the severity of preeclampsia, so it can beconsidered as a marker for its severity and can be used as a predictor for adverse outcomes as itsnegatively correlated with these complications
New chelating ligand derived from triazole and its complexes with metal ions Rhodium, Platinum and Gold were synthesized. Through a copper (I)-catalyzed click reaction, the ligand produced 1,3-dipolar cycloaddition between 2,6-bis((prop-2-yn-1-yloxy) methyl) pyridine and 1-azidododecane. All structures of these new compounds were rigorously characterized in the solid state using spectroscopic techniques like: 1HNMR, 13CNMR, Uv-Vis, FTIR, metal and elemental analyses, magnetic susceptibility and conductivity measurements at room temperature, it was found that the ligand acts as a penta and tetradentate chelate through N3O2, N2O2, and the geometry of the new complexes are identified as octahedral for (Rh & Pt) complexes a
... Show MoreSYNTHESIS AND CHARACTERISATION OF NEWCo(II), Zn(II) AND Cd(II) COMPLEXES DERIVED FROM OXADIAZOLE LIGAND AND 1,10-PHENANTHROLINE AS Co-LIGAND
The aim of this work covers the synthesis and characterization of the new tertra dentate ligand (H4L) containing (N and O) as donor set atoms kind (N2O2) where: H4L=Bis-1,2 (2,4dihydroxybenzylediene phylinediamine . The preparation of ligand contains reaction 2, 4 Dihydroxy benzaldehyde and o-phenylene diamine . Schiff base was reacted with some metal ions in the presence of methanol to give the complexes in the general formula [M (H2L)] where: MII = Co, Ni, Cu, Zn, Cd. All compounds were characterized by spectroscopic methods I.R , U.V.-Vis, metal content and molar conductivity measurements, showed that the complexes are non-electrolyte. The proposed geometry for all of the proposed complexes was a tetrahedral while Ni comp
... Show MoreIn this work, prepared new ligand namely 5-(2,4-dichloro-phenyl)-1,3,4-oxadiazole-2-(3H)-thion, was obtained from the 2,4-dichlorobenzoyl chloride with hydrazine, after that reaxtion with CS2/KOH in methanol.
This study develops a systematic density functional theory alongside on-site Coulomb interaction correction (DFT + U) and ab initio atomistic thermodynamics approachs for ternary (or mixed transitional metal oxides), expressed in three reservoirs. As a case study, among notable multiple metal oxides, synthesized CoCu2O3 exhibits favourable properties towards applications in solar, thermal and catalytic processes. This progressive contribution applies DFT + U and atomistic thermodynamic approaches to examine the structure and relative stability of CoCu2O3 surfaces. Twenty-five surfaces along the [001], [010], [100], [011], [101], [110] and [111] low-Miller-indices, with varying surface-termination configurations were selected in this study.
... Show MoreThe ï¤- Multiple mixing ratios of ï§-transitions from levels of 56Fe populated in 56 56 ( , ) Fe n n Fe ï§ ï‚¢ reactions are calculated by using const. S.T.M. This method has been used in other works [3,7] but with pure transition or with transitions that can be considered as pure transitionsØŒ in our work we used This method for mixed ï§ - transitions in addition to pure ï§ - transitions. The experimental angular distribution coefficients a2 was used from previous works [1] in order to calculet ï¤- values. It is clear from the results that the ï¤- values are in good agreement or consistent, within associated errors, with those reported previously [1]. The discrepancies that occur
... Show More<p><span>A Botnet is one of many attacks that can execute malicious tasks and develop continuously. Therefore, current research introduces a comparison framework, called BotDetectorFW, with classification and complexity improvements for the detection of Botnet attack using CICIDS2017 dataset. It is a free online dataset consist of several attacks with high-dimensions features. The process of feature selection is a significant step to obtain the least features by eliminating irrelated features and consequently reduces the detection time. This process implemented inside BotDetectorFW using two steps; data clustering and five distance measure formulas (cosine, dice, driver & kroeber, overlap, and pearson correlation
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