Suicidal Ideation in Patients With Gender Identity Disorder in Western Iran From March 2019 to March 2020

Background: In recent years, the number of patients with gender identity disorder (GID) has rapidly increased. These people are at risk of adverse life events that influence their health and wellbeing. Research studies have also shown a significant rate of suicide in these individuals. This study aims to determine the prevalence of suicidal ideation in patients with GID referred to Legal Medicine Office in Ilam Province.Methods: In study sample comprised 21 patients without psychiatric comorbidity visited the Legal Medicine Office in Ilam Province for confirmation of transsexuals from March 2019 to March 2020. GID disorder was diagnosed through a GIDYQ (A-A) questionnaire and clinical interview. The Beck scale for suicide ideation was used to clarify and measure the intensity of attitudes, behaviors, and planning for a suicide attempt.Results: In 21 patients with GID, the average score for suicide ideation was 11.6. The average age of patients was 19 years, and all of them were single. In this sample, 19.1% had low risks, 71.5% high risks, 9.5% had very high-risk suicide ideation. Linear regression analysis showed that higher education and higher age were risk factors for suicide ideation in patients with GID.Conclusion: The high rate of suicidal ideation in patients with gender identity disorder makes it essential to pay attention to their mental health. It should be noted that suicidal thoughts can be a basis for suicide attempts

Strategies for Clinical Medical Education in Iran: A Systematic Review

Background: In order to improve clinical education, after evaluating the current situation and identifying the shortcomings and problems, it is essential to find strategies to change and improve the situation. This results in planning an efficient clinical education program and achieving the educational goals. Objectives: This study aimed at identifying strategies for clinical medical education in Iran. Methods: This systematic review was conducted in 2017 to find strategies for clinical medical education in Iran. Bedside teaching, ward round teaching, ward round, teaching round, training round, grand round, clinical teaching, ambulatory education, and bedside round were the keywords searched in both Persian- and English-language databases. Related articles were carefully reviewed and the key information was extracted. Finally, the data were analyzed in MAXQDA software version 10. Results: After retrieving the related articles, the title and abstract of 593 papers were reviewed, and after excluding the irrelevant and duplicate ones, full-texts of 101 articles were reviewed based on the study inclusion and exclusion criteria. The strategies for clinical medical education in Iran were classified into five categories including infrastructures, areas of clinical education, educational planning, and clinical teachers and students. Conclusion: Improving the quality of clinical education and the effectiveness of the educational system depends on the identification of appropriate strategies. The identified strategies pave the way for achieving targeted educational goals. Keywords: Strategies, Clinical Education, Iran, Systematic Revie

Does Long-term Exposure to Traffic-Related Particulate Matter Air Pollution Increase the Risk of Coronary Artery Disease?

Traffic-related air pollution levels have consistently been associated with increased overall mortality and morbidity. Effects of exposure to particulate matter (PM) on the heart have been of particular interest, as the elevation of fine particulates (PM₂.₅) has shown strongest association with increased risk of myocardial infarction, as well as ischemic cardiovascular disease, possibly via accelerated atherosclerosis. The objective of this paper is to gather currently available evidence on whether long-term exposure to elevated traffic-related PM₂.₅ increases the risk of developing coronary artery diseases, as measured through indicators of atherosclerosis. The population of interest is urban adults who are not diagnosed with cardiovascular disease. Since the entire urban population is exposed to at least some level of PM₂.₅, comparisons were made between individuals who were exposed to different levels of PM₂.₅ on a continuous scale. Course name: Epidemiological Methods 1Medicine, Faculty ofPopulation and Public Health (SPPH), School ofUnreviewedGraduat

Cellular Therapy for Saccular Intracranial Aneurysms: A Proof-of-Concept Study

Intracranial aneurysms are pathological dilations of arteries in the brain. Rupture of an aneurysm would be catastrophic, resulting in death in half of the cases and permanent neu- rological deficits in half of the survivors. The current standard-of-care for treating aneurysms is endovascular coiling, a procedure that involves packing the aneurysm with soft platinum- made coils that cause the blood within the aneurysm to clot, consequently slowing the flow of blood into the aneurysm. This is followed by a healing response that remodels the clot into fibrous tissue and regenerates a neointima layer that covers the neck of the aneurysm and isolates it from the parent vessel. Lack of proper healing in about one-fifth of the patients results in recurrence of the aneurysm. Building on a growing body of literature, this project evaluated the potential therapeutic effects of mesenchymal stem/stromal cells (MSCs) on the healing of coiled aneurysms in a rabbit model.2 year

Epi-Cease : A Non-Invasive Closed-Loop Transcranial Direct Current Stimulation (tDCS)-based Device for Antiepileptic Drug Resistant Epilepsy

Epilepsy is a chronic neurological disorder characterized by recurrent and unprovoked seizures due to abnormal electrical activity in the brain. Unfortunately, this disorder affects 50 million people worldwide and of all ages, making it the fourth most common neurological disorder. As a result, epilepsy reduces an individual’s quality of life and provides a challenge for family members and caregivers. Over the last few decades, many advances have been made in effectively treating and controlling epilepsy. Today, a focused history, physical examination, blood work, and video-EEG are all part of the standard protocol in the accurate and timely diagnosis of epilepsy. Once the epileptic etiology is identified, anti-epileptic drugs (AED) represent a first-line pharmacological treatment for these patients. Unfortunately, a portion of patients do not respond to multiple AEDs and may display dose-dependent side effects that warrant AED discontinuation. These patients are considered for neurosurgical intervention after case and extensive review. Many centres, including Vancouver General Hospital, employ temporal lobectomy for focal temporal lobe epilepsies. This procedure is quite effective for a small portion of patients but is highly invasive and can lead to complications in verbal memory in 0.4-4% of patients. More importantly, brain surgery is not for all patients and can only be applied to patients suffering from temporal lobe seizures. The goal of this proposal is to “non-invasively reduce the frequency, duration and/or severity of seizures in drug-resistant focal epilepsy patients”. Particularly, we set out to circumvent the highly invasive nature of brain surgery and its limited widespread use. Moreover, we wished to develop a technology that would non-invasively “abort” seizures in real-time. Our proposed solution, Epi-Cease, is a non-invasive closed-looped system that consists of a wearable head-strap tDCS (transcranial direct-current stimulation) that delivers non-invasive stimulation to abort a seizure. This device will communicate with an Apple Watch that will detect seizures based on motion sensing and physiological data. When detecting the onset of a seizure, the Apple Watch app will signal the tDCS module to deliver stimulation to the brain in real-time in order to suppress/abort seizure initiation.To assess the safety and efficacy of Epi-Cease, we will conduct a two-staged proof-of-concept study. First, we will validate the Apple Watch motion-sensing and physiological data app compared to traditional methods of epilepsy monitoring. Once validated, we will then recruit a small cohort (n=3) of low-risk epilepsy patients to test the technology before expansion. This technology would represent a quantum leap forward in the care of epilepsy patients as it would be the first, real-time non-invasive solution to abort seizures and effectively control focal epilepsies. Course name: Applied PathophysiologyApplied Science, Faculty ofUnreviewedGraduat

Classification of Streaming Fuzzy DEA Using Self-Organizing Map

The classification of fuzzy data is considered as the most challenging areas of data analysis and the complexity of the procedures has been obstacle to the development of new methods for fuzzy data analysis. However, there are significant advances in modeling systems in which fuzzy data are available in the field of mathematical programming. In order to exploit the results of the researches on fuzzy mathematical programming, in this study, a new fuzzy data classification method based on data envelopment analysis (DEA) is provided when fuzzy data are imported as a stream. The proposed method can classify data that changes are created in their behavioral pattern over time using updating the criteria of predicting fuzzy data class. To reduce computational time, fuzzy self-organizing map (SOM) is used to compress incoming data. The new method was tested by simulated data and the results indicated the feasibility of this technique in the face of uncertain and variable conditions

Novel approach to big data collaboration with network operators network function virtualisation (NFV)

The intersection of network function virtualisation (NFV) technologies and big data has the potential of revolutionising today\u27s telecommunication networks from deployment to operations resulting in significant reductions in capital expenditure (CAPEX) and operational expenditure, as well as cloud vendor and additional revenue growths for the operators. One of the contributions of this article is the comparisons of the requirements for big data and network virtualisation and the formulation of the key performance indicators for the distributed big data NFVs at the operator\u27s infrastructures. Big data and virtualisation are highly interdependent and their intersections and dependencies are analysed and the potential optimisation gains resulted from open interfaces between big data and carrier networks NFV functional blocks for an adaptive environment are then discussed. Another contribution of this article is a comprehensive discussion on open interface recommendations which enables global collaborative and scalable virtualised big data applications. <br /

Evaluation of green lean production in textile industry: a hybrid fuzzy decision-making framework

Textile industry is an old and effective industry in Iran. However, due to its age and high energy consumption, this industry has low profitability and entrepreneurship. One of the most important problems of the weaving industry is the issue of waste regarding manpower, materials, machinery, and especially energy consumption. Another problem is environmental pollution. In this paper, using a multiple decision-making model for ranking and selecting criteria and sub-criteria, which is presented using the step-wise weight assessment ratio analysis (SWARA) and also by examining several industrial plants on weaving, the final ranking was performed using the fuzzy COPRAS method. According to the final result and using the opinions of experts and reviewing the studied cases, the environmental criterion was more important than other criteria, and also according to the existing sub-criteria, the amount of CO2 production and pH in the process of completion and washing and the types of pollution in the effluent and sewage were more important than other sub-criteria. Also, among the alternatives, company 5 is evaluated as the best alternative