Background: Breast cancer is the most frequent cancer in women worldwide and in Iraq. Proliferation rates of neoplastic process can be useful in predicting prognosis, aggressiveness of cancers and to guide treatment protocols in clinical practice.
Objectives: To evaluate the role of Ki67 as a proliferative marker through analysing the associations between Ki67 with the clinic-pathological parameters, hormone receptors and Her2/neu expression.
Patients and methods: Forty paraffin blocks belonging to patient with breast carcinoma and ten blocks with benign diseases were included in this retrospective cross-sectional study and used for the immunohistochemical assessment of hormone receptors, Her2/neu and Ki67.
Results: Mean age of

serum amylase occurs in cases of perforated peptic ulcer partly as a result of increase leakage of pancreatic enzymes rich fluid from the perforation site with subsequent absorption by peritoneal lymphatics & partly due to damage of pancreases by digestive enzymes that spilled through the perforation.
Objectives: To determine the significance of abnormally high level of serum amylase in patients undergone operation for PDU, to study the factors that tend to bring about elevated serum amylase level in these patients.
Patients and Methods: A prospective study of 250 patients with perforated duodenal ulcer (PDU) at al kindy teaching hospital, Baghdad, Iraq from June 2008- august 2010. patients were examined clinically and investig

Back ground: Gastrointestinal Stromal Tumors (GISTs), although are rare, are the most common mesenchymal tumors of the digestive system. Vascular endothelial growth factor(VEGF) is associated with the malignant potential of several types of carcinomas.

Patients, material, and methods: This is a retrospective study including thirty two randomly selected cases of GISTs collected from the pathology laboratory of the gastroenterology and hepatology teaching hospital and from private laboratories from the period January 2010 to December 2013. VEGF immunohistochemical marker was applied to the tumor tissue sections to evaluate its expression and to correlate it with other parameters.Objectives<

       Psoriasis is a common, chronic, immune mediated disorder.The disease is arising as a result of dysregulated interactions of the innate and adaptive immune system in the context of skin epithelium and connective tissue. The biological drug Etanercept(ETN) approved for use in treated psoriasis. ETN is tumor necrosis factor- α (TNF-α) inhibitor. In this study, 48 psoriatic patients were taken before and after treatment who attended to the Dermatology and Venereology Department in Baghdad Teaching Hospital during the period from December 2016 to September 2017and 50 samples were used as healthy control group. The results showed that most psoriatic patients 52.08 % were within the second

Strong acids were determined via the precipitation reaction of loaded copper (II) ion on strong cation exchange resin which in turn reacts with potassium hyxacyano ferrate (II). The attenuation effect of formed precipitate Cu2 [Fe (CN) 6] on (0 -180o) incident LED light was measurement via homemade AYAH 5SX4-ST-5D solar CFI analyser. Optimum parameters were 0.005M.L-1 [Fe(CN)6]-4 , flow rate of 2.4 mL.min-1 , sample volume 204 μL , sample purge time of 64 seconds was chosen, and 1.6 V for light intensity. A liner calibration graph of 0.005 -0.2 M.L-1 were obtains for HCl, HNO3, HCLO4 and H2SO4, with a linearity (r2 %) 96 -97 % and L.O.D based on gradual dilution of lowest concentration in calibration graph was 37.19 μg for HCl, 64.273

The objective of this study is to apply Artificial Neural Network for heat transfer analysis of shell-and-tube heat exchangers widely used in power plants and refineries. Practical data was obtained by using industrial heat exchanger operating in power generation department of Dura refinery. The commonly used Back Propagation (BP) algorithm was used to train and test networks by divided the data to three samples (training, validation and testing data) to give more approach data with actual case. Inputs of the neural network include inlet water temperature, inlet air temperature and mass flow rate of air. Two outputs (exit water temperature to cooling tower and exit air temperature to second stage of air compressor) were taken in ANN.

The current paper aims to identify potential factors associated with employees’ intentions to leave information and communication technology companies in Iraq. There is evident variability in the literature regarding these factors; hence, a factor analysis approach was employed to identify these factors within the surveyed environment. Due to the difficulty in precisely delineating the size of the research population, a purposive sampling method was employed to reach an appropriate number of respondents within the aforementioned companies. A total of 288 employees responded to the survey conducted via Google Forms. The test results revealed the presence of five primary factors associated with employees’ intentions to leave, name

This study aims to observe and analysis the propaganda discourse image for Daesh, and know how it marketing the fear due to symbols structure, and discover the straight meanings and hidden inspiration, with the ideology that the image presented.
The study is descriptive and qualitative, and the method is analytic survey used semiotic approach.
The most important results of the study refer to:
- Daesh functioning the image in fear manufacture in all it components: the symbol of savageness, body language, color, clothes uniform and professionally shot.
- The indicative meaning of fear promoted by Daesh based of the manufacturing «Holy», and that mean places non-touchable and non-insulted.
- Daesh used in its propagand

Ag nanoparticles were prepared using Nd:YAG laser from Ag matel in distilled water using different energies laser (100 and 600) mJ using 200 pulses, and study the effect of the preparation conditions on the structural characteristics of and then study the effect of nanoparticles on the rate of killing the two types of bacteria particles (Staph and E.coli). The goal is to prepare the nanoparticle effectively used to kill bacteria.