Evaluation of the Pharmaceutical theses of the government Universities of Tehran and Shahid Beheshti based on ISO 7144 during 2008 to 2012

University theses and dissertations are among those credible sources of information which, with regard to their given status of value, and the use of update resources using the international regulations and standards, can be perfect sources for optimal recovery of information and can increase the scientific credibility. This study reviews the accordance of the Pharmaceutical theses of Shahid Beheshti University of Medical Sciences and the University of Tehran with the ISO 7144 standards: 2008-2012. 765 pharmaceutical theses of Shahid Beheshti University of Medical Sciences and the University of Tehran at both general and specialized levels were studied, using an analytical method.  Data collection was based on the checklist prepared according to ISO 7144 standards. The comparisons were performed based on the t-test, using SPSS software. The results manifested that the theses done at Shahid Beheshti University of Medical Sciences adhered more to the ISO standards compared to the University of Tehran.  The study also revealed that the mean score of the adherence to the standards of ISO has been more in specialized theses than the general ones. Moreover, it suggests that, due to their scientific and practical nature, theses are among the most important sources, and therefore, the manner through which the data is inserted, is of utmost importance. The accordance of the studied theses of both general and specialized themes in both universities to ISO 7144 standards is below the %50 of the desired standard and has a long way to go to reach the desired status

Worldwide trend analysis of primary and secondary infertility rates over past decades: A cross-sectional study

Background: Infertility is a global health issue and is reported differently worldwide. Objective: To assess the longitudinal trends of primary and secondary infertility prevalence rate (PSIPR) per 100,000 across all countries during past decades. Materials and Methods: The PSIPR was extracted from the Global Burden of Disease database for 195 countries during 1993-2017. The longitudinal trends of PSIPR were explored across the seven epidemiological regions designated by the Global Burden of Disease. Results: Globally, the PSIPR was lower among men than women. Over time, the prevalence of primary infertility in men and women had a decreasing trend of -9.3 and -11.6 in high-income countries. Other regions have seen an increase, the highest being in South Asian women, and men of the Middle East and North Africa, with rates of change of 40.9 and 19.0, respectively. Over time, the secondary infertility prevalence in women of Central Asia, Central Europe and Eastern Europe, as well as of high-income countries, has been declining (rates of change of -16.9 and -11.7, respectively). Other regions have been on the rise, with the highest increase among women of the Middle East, North Africa, and South Asia (trend of 119.9 and 83.4, respectively), and in South Asian men (trend of 48.4). Conclusion: The overall trend of infertility prevalence shows a downward trajectory in high-income and developed countries and an upward trend in others. These findings might be explained by missed cases of infertility due to a low tendency for reproduction and the presence of more infertility treatment facilities in these regions. Key words: Infertility, Global burden of disease, Longitudinal studies.&nbsp

The effect of in-service English education on medical professionals′ language proficiency

Background: Despite its inevitable significance, the effect of in-service English education on medical professionals has rarely been studied longitudinally. The reason can be issues such as physicians′ heavy workload, commuting problems, inappropriate class times, and inexperienced teaching staff. Materials and Methods: A needs assessment worksheet was administered to faculty members of Shahid Beheshti University of Medical Sciences in Tehran and the responses were analyzed. A project for the promotion of faculty members′ English proficiency was formulated. Then, following a placement test, 235 applicants from the university colleges and hospitals were classified into 28 homogeneous groups. After four terms of instruction, the participants′ scores on the pre- and post- assessments were analyzed. Results: There was significant improvement in participants′ total scores on different communicative skills (P<0.001). Regarding individual skills also, they achieved meaningful gains on listening (P<0.001), writing (P = 0.038), and grammar (P<0.001), but failed to progress significantly on reading comprehension (P = 0.523). Conclusion: The administration of in-service education for skill-oriented courses, over a long period, can be quite encouraging and should be further strengthened. Regular instructions on each individual skill on the one hand and on their combination on the other are essential for success in such education

Functional Brain Response to Emotional Muical Stimuli in Depression, Using INLA Approach for Approximate Bayesian Inference

Introduction: One of the vital skills which has an impact on emotional health and well-being is the regulation of emotions. In recent years, the neural basis of this process has been considered widely. One of the powerful tools for eliciting and regulating emotion is music. The Anterior Cingulate Cortex (ACC) is part of the emotional neural circuitry involved in Major Depressive Disorder (MDD). The current study uses functional Magnetic Resonance Imaging (fMRI) to examine how neural processing of emotional musical auditory stimuli is changed within the ACC in depression. Statistical inference is conducted using a Bayesian Generalized Linear Model (GLM) approach with an Integrated Nested Laplace Approximation (INLA) algorithm. Methods: A new proposed Bayesian approach was applied for assessing functional response to emotional musical auditory stimuli in a block design fMRI data with 105 scans of two healthy and depressed women. In this Bayesian approach, Unweighted Graph-Laplacian (UGL) prior was chosen for spatial dependency, and autoregressive (AR) (1) process was used for temporal correlation via pre-weighting residuals. Finally, the inference was conducted using the Integrated Nested Laplace Approximation (INLA) algorithm in the R-INLA package. Results: The results revealed that positive music, as compared to negative music, elicits stronger activation within the ACC area in both healthy and depressed subjects. In comparing MDD and Never-Depressed (ND) individuals, a significant difference was found between MDD and ND groups in response to positive music vs negative music stimuli. The activations increase from baseline to positive stimuli and decrease from baseline to negative stimuli in ND subjects. Also, a significant decrease from baseline to positive stimuli was observed in MDD subjects, but there was no significant difference between baseline and negative stimuli. Conclusion: Assessing the pattern of activations within ACC in a depressed individual may be useful in retraining the ACC and improving its function, and lead to more effective therapeutic interventions

Functional brain response to emotional musical stimuli in depression, using INLA approach for approximate Bayesian inference

Introduction: One of the vital skills which has an impact on emotional health and well-being is the regulation of emotions. In recent years, the neural basis of this process has been considered widely. One of the powerful tools for eliciting and regulating emotion is music. The Anterior Cingulate Cortex (ACC) is part of the emotional neural circuitry involved in Major Depressive Disorder (MDD). The current study uses functional Magnetic Resonance Imaging (fMRI) to examine how neural processing of emotional musical auditory stimuli is changed within the ACC in depression. Statistical inference is conducted using a Bayesian Generalized Linear Model (GLM) approach with an Integrated Nested Laplace Approximation (INLA) algorithm. Methods: A new proposed Bayesian approach was applied for assessing functional response to emotional musical auditory stimuli in a block design fMRI data with 105 scans of two healthy and depressed women. In this Bayesian approach, Unweighted Graph-Laplacian (UGL) prior was chosen for spatial dependency, and autoregressive (AR) (1) process was used for temporal correlation via pre-weighting residuals. Finally, the inference was conducted using the Integrated Nested Laplace Approximation (INLA) algorithm in the R-INLA package. Results: The results revealed that positive music, as compared to negative music, elicits stronger activation within the ACC area in both healthy and depressed subjects. In comparing MDD and Never-Depressed (ND) individuals, a significant difference was found between MDD and ND groups in response to positive music vs negative music stimuli. The activations increase from baseline to positive stimuli and decrease from baseline to negative stimuli in ND subjects. Also, a significant decrease from baseline to positive stimuli was observed in MDD subjects, but there was no significant difference between baseline and negative stimuli. Conclusion: Assessing the pattern of activations within ACC in a depressed individual may be useful in retraining the ACC and improving its function, and lead to more effective therapeutic interventions