Cytogenetic Evaluation of Couples With Spontaneous Abortion, Still Birth and Recurrent Miscarriage in Qazvin: Report and Review

Background: Chromosomal abnormality plays an important role in different types of miscarriages. Objectives: The present study was designed to investigation chromosomal anomalies in three groups of couples with recurrent abortion (RA), spontaneous abortion (SA) and still birth (SB). PatientsandMethods: In this retrospective study, the frequency of chromosomal aberrations was investigatedamong 260 couples with miscarriage, which had referred to the cytogenetic section of a reference laboratory in Buali hospilal, Qazvin, Iran from 2009 to 2014. Metaphase spreads were analyzed using G-banding. Results: In this study, 7.6% of couples had chromosomal aberrations including, balanced reciprocal translocations, robertsonian translocations, inversions and sex chromosome aneuploidy. Frequency of balanced translocations was higher, specifically in couples with SA. Conclusions: In this investigation we showed that chromosomal abnormalities could be one of the important causes of miscarriages. Cytogenetic evaluation of couples, which experienced different types of miscarriage, may prevent unnecessary treatments. Keywords: Recurrent Abortion, Spontaneous Abortion, Still Birth, Chromosome Abnormalit

Combined Economic and Emission Dispatch Incorporating Renewable Energy Sources and Plug-In Hybrid Electric Vehicles

Conventional transportation and electricity industries are considered as two major sources of greenhouse gases (GHGs) emission. Improvement of vehicle’s operational efficiency can be a partial solution but it is necessary to employ Plug-In Hybrid Electric Vehicles (PHEVs) and Renewable Energy Sources (RESs) in the network to slow the increasing rate of the GHGs emission. However, it is crucial to investigate the effectiveness of each solution. In this paper, a combination of generation cost and GHGs emission of the two mentioned industries, as economic and environmental aspects of using PHEVs and RESs will be analyzed. The effectiveness of five different scenarios of utilizing the mentioned elements is studied on a test system. To have a realistic evaluation, an extended cost function model of wind farm is employed in optimal power dispatch calculations. Particle Swarm Optimization (PSO) algorithm is applied to the combined economic and emission dispatch (CEED) non- linear problem

Barriers and Solutions to Commercialization of Research Findings in Schools of Agriculture in Iran: A Qualitative Approach

The transformation process from idea to product and finally to wealth creation is one of the major problems in the agriculture sector in Iran. This study used a qualitative-exploratory approach to investigate the barriers and the solutions, which were derived from the interview results of our study, to commercialization of research findings in Iranian schools of agriculture. The data was collected through in-depth semi-structured interviews. The results showed that the highest ranking barriers to commercialization were inappropriate perspectives and policy-making, financial-investment barriers, mistrust, and poor communication; the barriers related to the participation of the private sector were among the lowest ranking items. The top ranking solutions for commercialization were related to planning, legislation, policy-making, needs assessment, goal setting, and prioritization. The technical-specialized solutions were the lowest ranking items

Venous Thromboembolism Following Travel

International travel has become increasingly common and accessible, hence, about two billion passengers undertake international and domestic air travel each year. Venous thromboembolism (VTE) is a serious public health disorder which may occur following prolonged travel, especially after air travel. A direct relation between VTE development and prolonged travels has been documented, while some references did not confirm this relation. The travel-related VTE is a multi-factorial disorder, and the risk of thrombosis is higher in individuals with pre-existing risk factors. Some believe that hypobaric hypoxia was a more likely explanation for thrombus formation during prolonged travel. Other factors including immobilization, dehydration, excessive alcohol or coffee consumption, lower air pressure, and lower humidity can make the traveler prone to thrombus formation. Herein we tried to evaluate previous studies and available guidelines thereby providing information on the association of thrombosis and travel, risk factors, risk assessment, and strategies for the prevention of VTE following travel

Use of Complementary Medicine in SARS-CoV-2 and MERS-CoV: a Narrative Review

Severe acute respiration syndrome coronavirus 2 (SARS-CoV-2) is characterized by severe cytokine storm syndrome following inflammation. SARS-CoV-2 is the 7th coronavirus that causes infection in human bodies; SARS-CoV, MERS-CoV, and SARS-CoV-2 can purpose severe diseases. SARS-CoV-2 at once interacts with angiotensin-converting enzyme 2 (ACE-2) receptors inside the body and causes respiratory problems. Interestingly, complementary medicines and herbal drugs affect the expression of IgE and IgG antibodies and improve the immune system; for that reason, complementary medicine could be beneficial for infectious diseases like SARS-COV-2. In this review, we assessed some related articles to evaluate the effect of complementary medicine on SARS-COV2 and MERS-COV

Provincial health accounts in Kerman, Iran: an evidence of a “mixed” healthcare financing system

Background: Provincial Health Accounts (PHA) as a subset of National Health Accounts (NHA) present financial information for health sectors. It leads to a logical decision making for policy-makers in order to achieve health system goals, especially Fair Financial Contribution (FFC). This study aimed to examine Health Accounts in Kerman Province. Methods: The present analytical study was carried out retrospectively between 2008 and 2011. The research population consisted of urban and rural households as well as providers and financial agents in health sectors of Kerman Province. The purposeful sampling included 16 provincial organizations. To complete data, the report on Kerman household expenditure was taken as a data source from the Governor-General’s office. In order to classify the data, the International Classification for Health Accounts (ICHA) method was used, in which data set was adjusted for the province. Results: During the study, the governmental and non-governmental fund shares of the health sector in Kerman were 27.22% and 72.78% respectively. The main portion of financial sources (59.41) was related to private household funds, of which the Out-of-Pocket (OOP) payment mounted to 92.35%. Overall, 54.86% of all financial sources were covered by OOP. The greatest portion of expenditure of Total Healthcare Expenditures (THEs) (65.19%) was related to curative services. Conclusion: The major portion of healthcare expenditures was related to the OOP payment which is compatible with the national average rate in Iran. However, health expenditure per capita, was two and a half times higher than the national average. By emphasizing on Social Determinant of Health (SDH) approach in the Iranian health system, the portion of OOP payment and curative expenditure are expected to be controlled in the medium term. It is suggested that PHA should be examined annually in a more comprehensive manner to monitor initiatives and reforms in healthcare s e c tor

Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics:a Preliminary Machine Learning Study

In this study, the ability of radiomics features extracted from myocardial perfusion imaging with SPECT (MPI-SPECT) was investigated for the prediction of ejection fraction (EF) post-percutaneous coronary intervention (PCI) treatment. A total of 52 patients who had undergone pre-PCI MPI-SPECT were enrolled in this study. After normalization of the images, features were extracted from the left ventricle, initially automatically segmented by k-means and active contour methods, and finally edited and approved by an expert radiologist. More than 1700 2D and 3D radiomics features were extracted from each patient’s scan. A cross-combination of three feature selections and seven classifier methods was implemented. Three classes of no or dis-improvement (class 1), improved EF from 0 to 5% (class 2), and improved EF over 5% (class 3) were predicted by using tenfold cross-validation. Lastly, the models were evaluated based on accuracy, AUC, sensitivity, specificity, precision, and F-score. Neighborhood component analysis (NCA) selected the most predictive feature signatures, including Gabor, first-order, and NGTDM features. Among the classifiers, the best performance was achieved by the fine KNN classifier, which yielded mean accuracy, AUC, sensitivity, specificity, precision, and F-score of 0.84, 0.83, 0.75, 0.87, 0.78, and 0.76, respectively, in 100 iterations of classification, within the 52 patients with 10-fold cross-validation. The MPI-SPECT-based radiomic features are well suited for predicting post-revascularization EF and therefore provide a helpful approach for deciding on the most appropriate treatment.</p