A survey on utilization of data mining approaches for dermatological (skin) diseases prediction

Due to recent technology advances, large volumes of medical data is obtained. These data contain valuable information. Therefore data mining techniques can be used to extract useful patterns. This paper is intended to introduce data mining and its various techniques and a survey of the available literature on medical data mining. We emphasize mainly on the application of data mining on skin diseases. A categorization has been provided based on the different data mining techniques. The utility of the various data mining methodologies is highlighted. Generally association mining is suitable for extracting rules. It has been used especially in cancer diagnosis. Classification is a robust method in medical mining. In this paper, we have summarized the different uses of classification in dermatology. It is one of the most important methods for diagnosis of erythemato-squamous diseases. There are different methods like Neural Networks, Genetic Algorithms and fuzzy classifiaction in this topic. Clustering is a useful method in medical images mining. The purpose of clustering techniques is to find a structure for the given data by finding similarities between data according to data characteristics. Clustering has some applications in dermatology. Besides introducing different mining methods, we have investigated some challenges which exist in mining skin data

Self-burning: A common and tragic way of suicide in fars province, Iran

Self-burning is the most devastating burn injury. It is a common social and medical problem in Iran. In a longitudinal prospective study, from April 2003 to March 2006, all burn patients admitted to Ghotb-eddin burn Hospital were enrolled in this study. Suicide attempts by burning accounted for 283 (21.9%) of all burn patients admitted to the hospital. Most (68.2%) of self-burning patients were female. Self-burn patients had significantly large burned body surface area (64.8±29%). Suicidal burns occurred predominantly in the age group 15-24 years (44.6%). The mortality rate for suicidal burns was (60.4%). Fars is a province composed of many different tribes and cultural minorities whereby major decisions are made by forums of clergymen. It is important to involve those clergymen in burn prevention programs to achieve a meaningful reduction in Self-burning prevalence

Dynamic models of viral replication and latency.

PURPOSE OF REVIEW: HIV targets primary CD4(+) T cells. The virus depends on the physiological state of its target cells for efficient replication, and, in turn, viral infection perturbs the cellular state significantly. Identifying the virus-host interactions that drive these dynamic changes is important for a better understanding of viral pathogenesis and persistence. The present review focuses on experimental and computational approaches to study the dynamics of viral replication and latency. RECENT FINDINGS: It was recently shown that only a fraction of the inducible latently infected reservoirs are successfully induced upon stimulation in ex-vivo models while additional rounds of stimulation make allowance for reactivation of more latently infected cells. This highlights the potential role of treatment duration and timing as important factors for successful reactivation of latently infected cells. The dynamics of HIV productive infection and latency have been investigated using transcriptome and proteome data. The cellular activation state has shown to be a major determinant of viral reactivation success. Mathematical models of latency have been used to explore the dynamics of the latent viral reservoir decay. SUMMARY: Timing is an important component of biological interactions. Temporal analyses covering aspects of viral life cycle are essential for gathering a comprehensive picture of HIV interaction with the host cell and untangling the complexity of latency. Understanding the dynamic changes tipping the balance between success and failure of HIV particle production might be key to eradicate the viral reservoir

Economic value added of intellectual capital on the market value of listed companies in Tehran Stock Exchange

The present research studies the effects of the economic value added (EVA) and the intellectual capital on value of the listed companies’ value in Tehran Stock Exchange. The research was based on an applicable goal and it is descriptive and post-event in terms of nature. The sample of the research consists of 89 companies listed in Tehran Stock Exchange and the research period was from 2004 to 2011. In order to examine the research hypothesis, a multivariate regression is utilized using panel data. The results indicate spontaneous use of intellectual capital variable and the remaining profit according to the accepted principles of accounting increase description power of the market value fluctuations of the corporate remarkably

Economic value added of intellectual capital on the market value of listed companies in Tehran Stock Exchange

The present research studies the effects of the economic value added (EVA) and the intellectual capital on value of the listed companies’ value in Tehran Stock Exchange. The research was based on an applicable goal and it is descriptive and post-event in terms of nature. The sample of the research consists of 89 companies listed in Tehran Stock Exchange and the research period was from 2004 to 2011. In order to examine the research hypothesis, a multivariate regression is utilized using panel data. The results indicate spontaneous use of intellectual capital variable and the remaining profit according to the accepted principles of accounting increase description power of the market value fluctuations of the corporate remarkably

Economic value added of intellectual capital on the market value of listed companies in Tehran Stock Exchange

The present research studies the effects of the economic value added (EVA) and the intellectual capital on value of the listed companies’ value in Tehran Stock Exchange. The research was based on an applicable goal and it is descriptive and post-event in terms of nature. The sample of the research consists of 89 companies listed in Tehran Stock Exchange and the research period was from 2004 to 2011. In order to examine the research hypothesis, a multivariate regression is utilized using panel data. The results indicate spontaneous use of intellectual capital variable and the remaining profit according to the accepted principles of accounting increase description power of the market value fluctuations of the corporate remarkably

The Relationship of Behavioral Activation and Inhibition Systems (BAS/BIS), Difficulty of Emotional Regulation and Shyness with Social Anxiety Disorder in Normal Adolescents

ز زمینه و هدف: اختلال های اضطرابی یکی از شایع ترین اختلال های دوران نوجوانی هستند و از مهم ترین انواع این اختلال ها می توان به اختلال اضطراب اجتماعی اشاره کرد. هدف این پژوهش، پیش بینی اضطراب اجتماعی، از طریق سه عامل سیستم های فعال ساز و بازداری رفتاری ، دشواری در تنظیم هیجانی و کمرویی بود. روش بررسی: روش پژوهش حاضر غیر آزمایشی و طرح آن از نوع همبستگی می باشد. جامعه آماری شامل کلیه دانش آموزان دختر و پسر پایه اول دبیرستان های شهرکرد در سال تحصیلی 94- 1393 بود که با روش نمونه گیری خوشه ای از میان آن ها نمونه ای به حجم1000نفر (500 پسر و500 دختر) بر اساس جدول کرجسی و مورگان انتخاب شد. جمع آوری داده های پژوهش با استفاده از پرسشنامه های سیستم فعال ساز و بازداری رفتاری(BIS/BAS)، تنظیم هیجانی(ERS) ، اضطراب اجتماعی(SPIN) و کمرویی انجام گرفت. داده ها با استفاده از آمار توصیفی(میانگین و انحراف معیار) و استنباطی(ضریب همبستگی پیرسون و رگرسیون چندگانه به روش گام به گام) با نرم افزار SPSS-20 مورد تجزیه و تحلیل قرار گرفتند. یافته ها: یافته ها نشان دادند، بین اختلال اضطراب اجتماعی با سیستم بازداری رفتاری(05/0>P) ، با دشواری در تنظیم هیجانی(05/0>P) و با کمرویی(05/0>P) ارتباط مثبت معنی دار وجود دارد. ولی بین سیستم فعال ساز رفتاری با اختلال اضطراب اجتماعی ارتباط معنی داری یافت نشد(05/