Background : Hyperglycosylated hCG a newly discovered variant of hCG which can be used as a predictor of invasion of trophoblastic cells in patient with gestational trophoblastic disease. Objectives : To measure hyperglycosylated human chorionic gonadotrophin and to assess how far it can be used as predictor of invasion in invasive mole and choriocarcinoma. Study design control study. Setting: : Case Gynecological department in Baghdad Teaching Hospital from January 2016 to January 2017. Patient and Methods : 60 women were enrolled in this study 30 of them were with gestational trophoblastic disease (no.= 30 ) the remainder were normal pregnancy (no. =30) , hCG –H level was measured in both groups. Results : Mean serum hCG-H level was significantly higher in patients with gestational trophoblastic disease compared to control women (460.5 ± 168.35 , 206.8± 19.99 ) respectively with p value < 0.05. Mean serum hCG-H level was significantly higher in patients with gestational trophoblastic disease Invasive mole and chriocarcinoma compared to patient with molar pregnancy. Before evacuation (772.11 ± 184.08, 398.27 ±65.86). After evacuation (550.52 ± 146.15 , 340.40 ±85.61). With p value < 0.05. Conclusion : 1) Serum hCG-H level was higher in patients who had invasive mole and patients with choriocarcinoma than patients with gestational trophoblastic disease , so it can be used as a predictor of invasion in patients with invasive mole and choriocarcinoma. 2) Serum hCG-H level can be used in patient with abnormal β- hCG after evacuation when it is slowly decreasing or plateau. 3) It is better to measure the ratio hCG-H/total hCG and using uniform method test and units so we can understand the actual changes that happen in invasion.
Three scolopacids out of 150 are found infected with Haemoproteus scolopaci Galli-
Valerio 1929 and H. tringae n. sp. A detailed description of the new taxon is presented along
with a comparison of the diagnostic measurements between the two species.
KE Sharquie, JR Al-Rawi, AA Noaimi, MM Jabir, Iraqi Postgraduate Medical Journal, 2009
S Khalifa E, AR Jamal R, N Adil A, J Munqithe M…, 2009
Systemic lupus erythematosus (SLE) is an autoimmune disease, in which the etiology is not well-understood; however, interactions between environmental and genetic factors in predisposed individuals have been recognized. As a consequence, immunological alternations occur and immune cells are involved, especially T and B lymphocytes that are activated to produce different immune components. Among these components are autoantibodies that react with self-antigens aside from non-self-antigens due to the proposed theory of molecular mimicry. Accordingly, the current study was designed to examine the profile of different autoantibodies in SLE patients by using the indirect membrane based enzyme immunoassay
This research Sheds highlights the procedural protections that must be enjoyed by the consumer in the face of the product, which is the protection of no less dangerous than the substantive protection of our obligations and duties delivered by the legislature upon the product of consumer interest, what is the benefit of the right if the access road to him complicated, so know The consumer has a right to the face of the product, but leaves the claim, either to ignorance For access to this right either to the difficulty of connecting to him.
That this research modest attempt we tried through which to focus on the way to the consumer behavior of arrived right, as we tried to highlight the weaknesses and the complexity of the procedure to
This research aims to clarify the conceptual framework of social entrepreneurship shows the importance of the development of social entrepreneurship according to the contextual aspects and the social value achieved from these works. It also identifies the degree of level of a sample of women entrepreneurs in Iraq for the extent of the relationship between social entrepreneurship and women's empowerment. It also explains the impact of entrepreneurial work in empowering women and the extent to which there are individual differences between the average scores of the sample members’ estimation of the level of social entrepreneurship according to social status, age group, educational qualification, and specialization according to the s
... Show MoreThe research topic (The Impact of the Compulsory Reserve on the Banks Credit-an applied research on a sample of Iraqi banks), was chosen on basis of the Iraqi private Banks attempts to increase their credit activities in hope to gain more profits.This coincided with the CBI aim to back the private banking market.It is thus apparent why the CBI issued its regulation to those banks to increase their capitals up to IDB250. On the other hand,the CBI acted as an obstacle in the way of increasing the private banks of their capitals,that is by implementing the quantitive monetary tool so called the compulsory reserve.This is why we intended to overlook at this contradictional problome
... Show MoreIn this research, a selection of some mineral water was selected on the basis of being the most marketed by the owners of shops in Najaf province, with six types, where daily samples of this water were taken by 50 ml for two months from (1/11/2018 -1/1/2019). The following ions concentrations were measured (Br-, Cl-, F-, NO3-, SO42-, Na+, K+, Ca2+, Mg2+), pH and the electrical conductivity were measured and the results were compared with the allowable rates according to the international organizations. It was noted that they conform to international and Iraqi standards.
This study had succeeded in producing a new graphical representation of James abacus called nested chain abacus. Nested chain abacus provides a unique mathematical expression to encode each tile (image) using a partition theory where each form or shape of tile will be associated with exactly one partition.Furthermore, an algorithm of nested chain abacus movement will be constructed, which can be applied in tiling theory.
In recent years, Bitcoin has become the most widely used blockchain platform in business and finance. The goal of this work is to find a viable prediction model that incorporates and perhaps improves on a combination of available models. Among the techniques utilized in this paper are exponential smoothing, ARIMA, artificial neural networks (ANNs) models, and prediction combination models. The study's most obvious discovery is that artificial intelligence models improve the results of compound prediction models. The second key discovery was that a strong combination forecasting model that responds to the multiple fluctuations that occur in the bitcoin time series and Error improvement should be used. Based on the results, the prediction acc
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