In vivo experimental infection of sarcosporidiosis and toxoplasmosis of rabbits in Duhok Province, Kurdistan region, Iraq

Background: Sarcocystis species and Toxoplasma gondii are both zoonotic obligatory intracellular protozoan organisms and cyst-forming coccidian parasites that occur in domestic animals and human throughout the world.Methods: Forty local breed rabbits were divided into four groups, each group ten. Group one were infected with Sarcocystis, group two with Toxoplasma and group three with both parasites and last group was non-infected control group. The LAT serological test was used for detection of anti-toxoplasma antibody in serum of Toxoplasma infected rabbits. The direct impression smears stained with Giemsa was prepared from different body organs including; liver, lung, heart, brain and skeletal muscle for detection of tissue cysts (Bradyzoites) of T. gondii and microcysts of Sarcocystis.Results: In group one, 70% of infected rabbits were positive for toxoplasmosis by serological test; both are and by impression smear method 80% of the rabbits were positive for T. gondii with tissue cysts. Fifty percent of rabbits were positive for microcysts of Sarcocystis by direct impression smear method in group two. In group three, the impression smear and latex agglutination method were positive in 40% and 60% of rabbits, respectively. Statistically, there was no significant difference in detection of toxoplasmosis and sarcocystosis by LAT and impression smear method in group one and three.Conclusions: Rabbits could be source of toxoplasmosis and sarcocystosis and have public health implications and hazard as source of food. They might be source of infection for cats and shed environmentally resistant oocysts

The Impact of Service Quality Dimensions on Customer Satisfaction: Case Study of University Utara Malaysia

The purpose of this study is to investigate the effect of service quality (reliability, empathy, tangibility, assurance, responsiveness) on customer satisfaction in University Utara Malaysia (Education Service). Each variable is measured using 7-point interval scale: reliability (6 items), empathy (6 items), tangibility (5 items), assurance (10 items), and responsiveness (5 items) on customer satisfaction (6 items). Using the primary data collection method, 160 questionnaires were distributed to postgraduate students inside University Utara Malaysia (Sintok Campus), in north Malaysia. The responses collected were 98 completed questionnaires representing with 61.25 % response rate. The data were analyzed using Structural equation modeling (SEM) using AMOS 7. Confirmatory factor analysis of measurement models indicates adequate goodness of fit after a few items were eliminated through modification indices verifications. Goodness of fit for the revised structural model shows adequate fit. This study has established five direct effects: (1) reliability customer satisfaction; (2) empathy and customer satisfaction; (3) tangibility and customer satisfaction; (4) assurance and customer satisfaction; (5) and responsiveness on customer satisfaction. And, this study concludes that all hypotheses have been asserted in the revised model

Enhanced Multiphase Flow Measurement Using Dual Non-Intrusive Techniques and ANN Model for Void Fraction Determination

There are many petrochemical industries that need adequate knowledge of multiphase flow phenomena inside pipes. In such industries, measuring the void fraction is considered to be a very challenging task. Thus, various techniques have been used for void fraction measurements. For determining more accurate multiphase flow measurements, this study employed dual non-intrusive techniques, gamma-ray and electrical capacitance sensors. The techniques using such sensors are considered non-intrusive as they do not cause any perturbation of the local structure of the phases’ flow. The first aim of this paper is to analyze both techniques separately for the void fraction data obtained from practical experiments. The second aim is to use both techniques’ data in a neural network model to analyze measurements more efficiently. Accordingly, a new system is configured to combine the two techniques’ data to obtain more precise results than they can individually. The simulations and analyzing procedures were performed using MATLAB. The model shows that using gamma-ray and capacitance-based sensors gives Mean Absolute Errors (MAE) of 3.8% and 2.6%, respectively, while using both techniques gives a lower MAE that is nearly 1%. Consequently, measurements using two techniques have the ability to enhance the multiphase flows’ observation with more accurate features. Such a hybrid measurement system is proposed to be a forward step toward an adaptive observation system within related applications of multiphase flows

Simulation Study of Utilizing X-ray Tube in Monitoring Systems of Liquid Petroleum Products

Radiation-based instruments have been widely used in petrochemical and oil industries to monitor liquid products transported through the same pipeline. Different radioactive gamma-ray emitter sources are typically used as radiation generators in the instruments mentioned above. The idea at the basis of this research is to investigate the use of an X-ray tube rather than a radioisotope source as an X-ray generator: This choice brings some advantages that will be discussed. The study is performed through a Monte Carlo simulation and artificial intelligence. Here, the system is composed of an X-ray tube, a pipe including fluid, and a NaI detector. Two-by-two mixtures of four various oil products with different volume ratios were considered to model the pipe’s interface region. For each combination, the X-ray spectrum was recorded in the detector in all the simulations. The recorded spectra were used for training and testing the multilayer perceptron (MLP) models. After training, MLP neural networks could estimate each oil product’s volume ratio with a mean absolute error of 2.72 which is slightly even better than what was obtained in former studies using radioisotope sources

COVID-19 prevalence and mortality in patients with cancer and the effect of primary tumour subtype and patient demographics: a prospective cohort study

Background Patients with cancer are purported to have poor COVID-19 outcomes. However, cancer is a heterogeneous group of diseases, encompassing a spectrum of tumour subtypes. The aim of this study was to investigate COVID-19 risk according to tumour subtype and patient demographics in patients with cancer in the UK. Methods We compared adult patients with cancer enrolled in the UK Coronavirus Cancer Monitoring Project (UKCCMP) cohort between March 18 and May 8, 2020, with a parallel non-COVID-19 UK cancer control population from the UK Office for National Statistics (2017 data). The primary outcome of the study was the effect of primary tumour subtype, age, and sex and on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) prevalence and the case–fatality rate during hospital admission. We analysed the effect of tumour subtype and patient demographics (age and sex) on prevalence and mortality from COVID-19 using univariable and multivariable models. Findings 319 (30·6%) of 1044 patients in the UKCCMP cohort died, 295 (92·5%) of whom had a cause of death recorded as due to COVID-19. The all-cause case–fatality rate in patients with cancer after SARS-CoV-2 infection was significantly associated with increasing age, rising from 0·10 in patients aged 40–49 years to 0·48 in those aged 80 years and older. Patients with haematological malignancies (leukaemia, lymphoma, and myeloma) had a more severe COVID-19 trajectory compared with patients with solid organ tumours (odds ratio [OR] 1·57, 95% CI 1·15–2·15; p<0·0043). Compared with the rest of the UKCCMP cohort, patients with leukaemia showed a significantly increased case–fatality rate (2·25, 1·13–4·57; p=0·023). After correction for age and sex, patients with haematological malignancies who had recent chemotherapy had an increased risk of death during COVID-19-associated hospital admission (OR 2·09, 95% CI 1·09–4·08; p=0·028). Interpretation Patients with cancer with different tumour types have differing susceptibility to SARS-CoV-2 infection and COVID-19 phenotypes. We generated individualised risk tables for patients with cancer, considering age, sex, and tumour subtype. Our results could be useful to assist physicians in informed risk–benefit discussions to explain COVID-19 risk and enable an evidenced-based approach to national social isolation policies