Anti-Toxoplasma, Anti-rubella, and Anti-cytomegalovirus Antibodies in Dumpsite Workers of Erbil Governorate

The present study aimed to detect the presence of anti-Toxoplasma, anti-rubella, and anti-cytomegalovirus (CMV) antibodies in the sera of dumpsite workers of Erbil Governorate. Eighty nine male dumpsite (Kany Qrzhala, Erbil Governorate) workers were included in this study. Serum was obtained for the detection of anti-Toxoplasma, anti-rubella, and anti-CMV antibodies using an automated cobas e411 immunoassay analyzer. No anti-Toxoplasma IgM antibodies were detected in any of the workers’ sera, while (25.84%) showed a positive result for anti-Toxoplasma IgG antibodies. All workers’ sera had no anti-rubella IgM and IgG2 antibodies, while (62.92%) of them revealed the presence of IgG1 in their sera. Anti-CMV IgM was found in (2.25%) of the sera, while (13.50%) of the sera revealed the presence of anti-CMV IgG antibodies

HIV, HBS and HCV in Dump Site Workers of Erbil Governorate

This research targeted eighty-nine males working in Kany Qrzhala, dumpsite. Age and gender comparable apparently healthy subjects were selected as healthy controls, and both of the groups were obliged to fill the study's questionnaire. Further, venous blood samples were collected from each individual for serum collection. The accumulated sera reserved for the sero-prevalence for antibodies tests of Human Immunodeficiency Virus, Hepatitis B Surface Antigen and Hepatitis C Virus, (HIV), (HBS), (HCV) respectively. The automated immunoassay analyzer Cobas E411 facilitated the conducting of the mentioned tests. The serum concentration of HIV and HBS antibodies of dumpsite workers revealed a significant increase when compared to the healthy group, while the HCV antibody serum concentration presented no significant alteration when comparing dumpsite workers to the healthy controls. The antibodies presence in the sera that belonged to workers is an indicator of exposure to the viruses due to unsanitary health conditions. This may pose a public health risk to the workers themselves, in addition to the people they are in contact with, including their families

A serological study of brucellosis in camels south of Kirkuk, Iraq

A study of the prevalence of antibodies to camel brucellosis has been carried out in the south of Kirkuk city during March 2011. A total of 66 camels (6 male, 60 female) involved in this study with age between 6 months to 22 years. Blood samples were collected from jugular vein and the sera samples were screened by using Rose Bengal Plate Test (RBPT). The sera that were positive by using RBPT have been tested again by using the 2-Mercaptoethanol (2ME) test. The results of this study revealed that two camels from 66 camels (3.03%) were seropositive for brucella antibodies in South of Kirkuk city

Critical review of recent development in fiber reinforced adobe bricks for sustainable construction

Open Access via Springer Compact Agreement. The authors gratefully acknowledge the research support fund provided by the Sudanese Ministry of Higher Education, School of Engineering University of Khartoum and the School of Engineering, University of Aberdeen.Peer reviewedPublisher PD

Ultra-fast sampling of terahertz pulses from a quantum cascade laser using superconducting antenna-coupled NbN and YBCO detectors

We demonstrate the ultra-fast detection of terahertz pulses from a quantum cascade laser (QCL) using superconducting NbN and YBCO detectors. This has enabled both the intrapulse and interpulse dynamics of a THz QCL to be measured directly, including interpulse heating effects on sub-μs timescales

Nutritional Evaluation and Physicochemical Properties of Fermented Shirezh Dairy Product

Many of the Kurdish traditional dairy products have not been studied thoroughly so far though are still produced at small scale. Dow (sour butter milk) and Shirezh are among these products. Shirezh known to Iraqi Kurds as sour concentrated Dow. The characteristics of Shirezh and Dow were: pH (5.5, 4.05), acidity (2.13%, 1.10%), total solids (18.70%, 5.32%), ash (0.62%, 0.45%), fat (2.57%, 0.8%) and total protein (13.59%, 3.28%) respectively, furthermore the amino acids of Shirezh’s protein found in balanced and acceptable quality. The aim of this research is to introduce Shirezh and Dow to scientific literature and to determine their characterization and nutritional values. Keywords: Shirezh, Dow, Dairy, Fermented, Nutrition, Physicochemical, Amino acids

A Deep Feedforward Neural Network and Shallow Architectures Effectiveness Comparison: Flight Delays Classification Perspective

Flight delays have negatively impacted the socio-economics state of passengers, airlines and airports, resulting in huge economic losses. Hence, it has become necessary to correctly predict their occurrences in decision-making because it is important for the effective management of the aviation industry. Developing accurate flight delays classification models depends mostly on the air transportation system complexity and the infrastructure available in airports, which may be a region-specific issue. However, no specific prediction or classification model can handle the individual characteristics of all airlines and airports at the same time. Hence, the need to further develop and compare predictive models for the aviation decision system of the future cannot be over-emphasised. In this research, flight on-time data records from the United State Bureau of Transportation Statistics was employed to evaluate the performances of Deep Feedforward Neural Network, Neural Network, and Support Vector Machine models on a binary classification problem. The research revealed that the models achieved different accuracies of flight delay classifications. The Support Vector Machine had the worst average accuracy than Neural Network and Deep Feedforward Neural Network in the initial experiment. The Deep Feedforward Neural Network outperformed Support Vector Machines and Neural Network with the best average percentage accuracies. Going further to investigate the Deep Feedforward Neural Network architecture on different parameters against itself suggest that training a Deep Feedforward Neural Network algorithm, regardless of data training size, the classification accuracy peaks. We examine which number of epochs works best in our flight delay classification settings for the Deep Feedforward Neural Network. Our experiment results demonstrate that having many epochs affects the convergence rate of the model; unlike when hidden layers are increased, it does not ensure better or higher accuracy in a binary classification of flight delays. Finally, we recommended further studies on the applicability of the Deep Feedforward Neural Network in flight delays prediction with specific case studies of either airlines or airports to check the impact on the model's performance

A note on a sequential probability ratio test

This is a type of problema that lies outside the scope of the exponential family

Fabrication of PVC Enrofloxacin-Selective Electrodes for Estimating Enrofloxacin in Pure Form and as Preparation Formula:

أوجدت هذه الدراسة تطورا" لخصائص الاستجابة الكهروكيميائية للأقطاب الكهربائية الانتقائية للإينروفلوكساسين باستخدام الراسب والمعتمد على إنتاج الفوسفوتونجستيك ,بعد أستخدام مزيج من البولي فاينيل هيدروكلورايد (PVC) وداي بيوتيل فثاليت أوداي بيوتيل فوسفيت كمواد ملدنة. كانت أغشية المتحسسات الناتجة عبارة عن قطب كهربائي إنروفلوكساسين-فوسفوتونجستيك (متحسس1) ENR-DBPH-PTAوالقطب (متحسس2) .ENR-DOP-PTA  الاستجابات الخطية لأقطاب (ENR-DBPH-PTA)  و(ENR-DOP-PTA)  كانت ضمن المديات التركيزية 2.1×10-6- 10-1 و3.0×10-6- 10-2مول .لتر-1على التوالي, والتي تم ملاحظتها لكلا المتحسسين. الانحدارات كانت 0.24±51.61 و39.40±0.16  ملي فولت/حقبة.  ومديات الدالة الحامضية مساوية الى   8.5-2.5و2.0-9.0 التي لوحظت للمتحسسات 1و2 ,على التوالي. أظهرت أجهزة الاستشعار التي تم إنشاؤها معاملات انتقائية هائلة لعقار ENR.كما أظهرت أجهزة الاستشعار المقترحة خصائص علمية مفيدة لتقدير ENR في جرعة الدواء والشكل النقي.This study explored the development and qualities of the response of electrochemical properties of enrofloxacin-selective electrodes using precipitation based on producing phosphotungstic, after utilizing a matrix of polyvinyl chloride (PVC) and dibutyl phthalate or dibutyl phosphate as a plasticizer. The resulting membrane sensors were an enrofloxacin-phosphotungstic electrode (sensors 1) and an ENR-DOP-PTA electrode (sensors 2). Linear responses of (ENR-DBPH-PTA) and (ENR-DOP-PTA) within the concentration ranges of 2.1×10-6-10-1 and 3.0×10-6-10-2 mol. L-1, respectively, for both sensors were observed. Slopes of 51.61±0.24 and 39.40± 0.16 mV/decade and pH ranges equal to 2.5-8.5 and 2.0-9.0 were observed for sensors 1 and 2, respectively. The coefficients of selectivity of the created sensors demonstrated phenomenal selectivity for ENR. The proposed sensors showed useful scientific properties for the assurance of ENR in drug dosage and pure form