Before the start of delivery, any membranes rupture could be named as a premature rupture of membranes (PROM), which may need special obstetrical interactions to minimize perinatal complications, it is important topromptly diagnose PROM, the method used should be accurate, cheap, simple, and widely available. This was exactly the idea behind this study to use an ordinary pregnancy test kit aiming to confirm presence of PROM.Over a 6 months’ period, 60 pregnant women with a history of leaking liquor and a positive speculum examination for amniotic fluid pooling were collected prospectively and compared with other 60 women (control group) with uneventful pregnancy. Majority of patients with positive leaking liquor signs and symptoms had a p

     A global pandemic has emerged as a result of the widespread coronavirus disease (COVID-19). Deep learning (DL) techniques are used to diagnose COVID-19 based on many chest X-ray. Due to the scarcity of available X-ray images, the performance of DL for COVID-19 detection is lagging, underdeveloped, and suffering from overfitting. Overfitting happens when a network trains a function with an  incredibly high variance to represent the training data perfectly. Consequently, medical images lack the availability of large labeled datasets, and the annotation of medical images is expensive and time-consuming for experts. As the COVID-19 virus is an infectious disease, these datasets are scarce, and it is difficult to get large datasets

This paper presents a complete design and implementation of a monitoring system for the operation of the three-phase induction motors. This system is built using a personal computer and  two types of sensors (current, vibration) to detect some of the mechanical faults that may occur in the motor. The study and examination of several types of faults including (ball bearing and shaft misalignment faults) have been done through the extraction of fault data by using fast Fourier transform (FFT) technique. Results showed that the motor current signature analysis (MCSA) technique, and measurement of vibration technique have high possibility in the detection and diagnosis of most mechanical faults with high accuracy. Subsequently, diagnosi

Background: The critically ill patient is at risk of developing intensive care acquired infection, with the lungs being especially vulnerable. Ventilator associated pneumonia (VAP) occurring after two days of mechanical ventilation and it is the most nosocomial infection seen in the intensive care unit .The establishment of an accurate diagnosis of ventilator associated pneumonia remains problematic and yet there is still no accepted "gold standard" for the diagnosis.
Patients& Methods: This is a cross section study for 328 patients admitted to intensive care unit at medical city teaching hospital. Full history, physical examination and investigation were done after 48 hours of admission according to

Background: To study prevalence and method of diagnosis of acute rubella Infection during early pregnancy in Iraq.
Patients and Methods: Clinical signs and symptoms of acute rubella infection were looked for in (170) pregnant women looked before (12) weeks of gestation .Serial rubella specific IgG and IgM serological testing was done in these (170) women before (12) weeks of pregnancy, after (3) weeks, and again at (18-20) weeks of gestation.
Results: Three woman had clinical signs and symptoms of rubella infection from (26) woman were IgM positive at (9) weeks of pregnancy; (94) were IgG +ve but IgM –ve initially and also on repeat sampling after (3) weeks; while (50) women were nonimmune (IgG and I

      In this paper, the optical emission spectrum (OES) technique was used to analyze the spectrum resulting from the (CdO:CoO)  plasma in air, produced by Nd:YAG laser with λ=1064 nm, τ=10 ns, a focal length of 10 cm, and a range of energy of 200-500 mJ. We identified laser-induced plasma parameters such as electron temperature (T_e) using Boltzmann plot method, density of electron (n_e), length of Debye (λ_D), frequency of plasma (f_p), and number of Debye (N_D), using two-Line-Ratio method. At a mixing ratio of X= 0.5, the (CdO:CoO) plasma spectrum was recorded for different energies. The results of plasma parameters caused by laser showed that, with t

Background: To study prevalence and method of diagnosis of acute rubella Infection during early pregnancy in Iraq.
Patients and Methods: Clinical signs and symptoms of acute rubella infection were looked for in (170) pregnant women looked before (12) weeks of gestation .Serial rubella specific IgG and IgM serological testing was done in these (170) women before (12) weeks of pregnancy, after (3) weeks, and again at (18-20) weeks of gestation.
Results: Three woman had clinical signs and symptoms of rubella infection from (26) woman were IgM positive at (9) weeks of pregnancy; (94) were IgG +ve but IgM –ve initially and also on repeat sampling after (3) weeks; while (50) women were nonimmune (IgG and I

In this research, we studied the multiple linear regression models for two variables in the presence of the autocorrelation problem for the error term observations and when the error is distributed with general logistic distribution. The auto regression model is involved in the studying and analyzing of the relationship between the variables, and through this relationship, the forecasting is completed with the variables as values. A simulation technique is used for comparison methods depending on the mean square error criteria in where the estimation methods that were used are (Generalized Least Squares, M Robust, and Laplace), and for different sizes of samples (20, 40, 60, 80, 100, 120). The M robust method is demonstrated the best metho

In this research, we studied the multiple linear regression models for two variables in the presence of the autocorrelation problem for the error term observations and when the error is distributed with general logistic distribution. The auto regression model is involved in the studying and analyzing of the relationship between the variables, and through this relationship, the forecasting is completed with the variables as values. A simulation technique is used for comparison methods depending

Urinary tract infections (UTIs) mean microbial pathogens in the urethra or bladder (lower urinary tract). Important risk factors for recurrent UTI include obstruction of the urinary tract, use of a bladder catheter or a suppressed immune system. This study aims to isolate and identify bacteria from patients with TCC-bladder cancer or patients with a negative cystoscope and estimate antibiotic susceptibility patterns and evaluate some of the virulence factors. From a total of 62 patients with TCC-BC or negative cystoscope, only 35 favorable bacterial growths were obtained, including Escherichia coli (UPEC), a significant bacterial isolate, and Stenotrophomonas maltophilia. The percentage of multi drug-resistance bacteria