242 research outputs found

    Comparing of emotional intelligence in bright talents and non-talented students in Golestan university of medical sciences

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    هوش هیجانی دیدگاه جدیدی درباره پیش‏بینی عوامل مؤثر بر موفقیت افراددرجامعه را فراهم میسازد. هوش عمومی دربهترین شرایط، تنهاعامل بیست درصدازموفقیت‏های زندگی است. هشتاد درصد موفقیت‏ها به عوامل دیگر از جمله هوش هیجانی وابسته است. درنظام آموزشي ما، اين مشكل وجود دارد كه برهوش شناختی تأكيد و هوش هيجاني كه بي اندازه درسرنوشت افراد اهميت دارند، ناديده گرفته مي شود. این مطالعه به مقایسه هوش هیجانی دانشجویان استعداددرخشان وغیراستعداددرخشان می پردازد. Background and Objective: Emotional Intelligence provides a new perspective to anticipate effective factors on people's success in a society. Cognitive Intelligence, in its best context, is the cause of 20 percent of people's success in their life. 80 percent of success depends on other factors like Emotional Intelligence.In our educational system there is more emphasis on cognitive intelligence than emotional intelligence. Therefore, as EQ is of paramount importance in people's future, this study investigated a comparison between talented and normal students regarding Emotional Intelligence. Materials and Methods: This sectional descriptive study had an analytical approach between two groups and was conducted in 1392 on students of Golestan University of Medical Sciences. 152 students, including 41talented and 111 normal students participated in this study. Instrument of collecting data included a questionnaire with 133 Questions about Emotional Intelligence with N-bar normalization and demographic and educational specification. Analysis of data was performed by ANOVA, T-test and Kruskal Wallis. Results: Findings showed that an average EQ of talented students was 77.103 and that of normal ones was 41.98. Comparison test and T-test showed that there was no significant difference in EQ of students between the two groups (P= 00085). In self-actualization component, there was a meaningful significance between talented and normal students (P=0.004). As a whole, it was worth to note that there was a meaningful difference regarding EQ among talented students with educated fathers (P=0.046). It was also shown that there was a meaningful difference regarding EQ among normal students with educated fathers (P=0.04). Conclusion: Results showed that there was no significant difference regarding EQ between talented and normal students. So it can be said that being talented could not be the only factor to have higher abilities. It is proposed that in measuring talented students' abilities, not only cognitive intelligence but also EQ which causes more than 80 percent of peoples' success in a society should be considered

    Life cycle analysis of innovative building materials based on circular coffee ground supply chain

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    The construction sector is widely recognized as one of the most polluting mainly due to its intensive exploitation of natural resources and large energy consumption to produce traditional building materials. In the last years, alternative building materials have been developed with the aim to reduce the environmental burden of this sector. In particular, the use of geopolymer mortars as alternative cementitious materials is gaining increasing acceptance among scientists. Numerous laboratory studies demonstrate their suitability for construction applications, highlighting the potential environmental benefits that can be obtained from their large-scale production. This study aims to perform a preliminary evaluation of the environmental performance of a geopolymer mortar, whose production includes the reuse of a food waste: Spent Coffee Ground (SCG). By using the Life Cycle Assessment (LCA) approach, an environmental comparison with a traditional production of cement mortar was carried out on the basis of the Global Warming Potential (GWP) indicator

    Economic and Environmental Assessment of Biomass Power Plants in Southern Italy

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    In 2019, Europe adopted the New Green Deal as a strategic plan to become a competitive, resource-efficient, and driven economy by reducing its gas emissions and carbon footprint. Due the COVID-19 pandemic, this strategic plan was recently updated to expedite the green transition of European industries. Therefore, the present paper deals with the problem of deciding an appropriate size for a biomass plant that directly produces electric energy by means of two different conversion processes: combustion and gasification. After an initial estimation of the energy potential in western Sicily, GIS data of biomass growth were used to identify the appropriate size for the power plants under investigation. The economic feasibility of biomass utilization was evaluated over a capacity range of 10 to 30 MW, considering total capital investments, revenues from energy sales, and total operating costs. Moreover, the effect of variations on incentive prices was analyzed by means of a sensitivity analysis. Comparing the different plant solutions considered, the environmental sustainability was also analyzed using the life cycle assessment (LCA) approach. The results showed that the combustion solution had a higher profitability and a lower environmental impact for each plant size. The obtained results also demonstrated that providing power from residual biomass in small agricultural communities would significantly reduce their environmental impacts while improving the economic feasibility of their waste management practices

    Numerical solution of the two-dimensional Helmholtz equation with variable coefficients by the radial integration boundary integral and integro-differential equation methods

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    This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2012 Taylor & Francis.This paper presents new formulations of the boundary–domain integral equation (BDIE) and the boundary–domain integro-differential equation (BDIDE) methods for the numerical solution of the two-dimensional Helmholtz equation with variable coefficients. When the material parameters are variable (with constant or variable wave number), a parametrix is adopted to reduce the Helmholtz equation to a BDIE or BDIDE. However, when material parameters are constant (with variable wave number), the standard fundamental solution for the Laplace equation is used in the formulation. The radial integration method is then employed to convert the domain integrals arising in both BDIE and BDIDE methods into equivalent boundary integrals. The resulting formulations lead to pure boundary integral and integro-differential equations with no domain integrals. Numerical examples are presented for several simple problems, for which exact solutions are available, to demonstrate the efficiency of the proposed methods

    Transdiagnostic treatment of co-occurrence of anxiety and depressive disorders based on repetitive negative thinking: A case series

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    Objective: The transdiagnostic cognitive behavioral treatments for treating the coexistence of anxiety and mood disorders received useful empirical supports in the recent years. However, these treatments still have moderate efficacy. Following the improvements and developments in transdiagnostic protocols and considering the importance of repetitive negative thinking as a core transdiagnostic factor in emotional disorders, this study examined a new form of transdiagnostic treatment based on Repetitive Negative Thinking (TTRNT) of co-occurrence of anxiety and depressive disorders. Methods: Treatment efficacy was assessed using single case series with multiple baselines. Three patients meeting the criteria for co-occurrence of anxiety and depressive disorders were selected using the Anxiety Disorders Interview Schedule for DSM-IV. The patients were treated individually for 12 weekly sessions. Participants completed the standardized outcome measures during the baseline, treatment and one-month follow-up. Results: At post-treatment, all participants showed significant clinical changes on a range of standardized outcome measures, and these gains were largely maintained through the one-month follow-up both in the principle and co-principal diagnosis. Conclusions: Although the results of this preliminary investigation indicated that TTRNT could be a time effective and efficient treatment for individuals with co-occurrence of anxiety and depressive disorders, further controlled clinical trials are necessary to examine this new treatment approach

    Fragment-based discovery of a regulatory site in thioredoxin glutathione reductase acting as "doorstop" for NADPH entry

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    Members of the FAD/NAD-linked reductase family are recognized as crucial targets in drug development for cancers, inflammatory disorders, and infectious diseases. However, individual FAD/NAD reductases are difficult to inhibit in a selective manner with off target inhibition reducing usefulness of identified compounds. Thioredoxin glutathione reductase (TGR), a high molecular weight thioredoxin reductase-like enzyme, has emerged as a promising drug target for the treatment of schistosomiasis, a parasitosis afflicting more than 200 million people. Taking advantage of small molecules selected from a high-throughput screen and using X-ray crystallography, functional assays, and docking studies, we identify a critical secondary site of the enzyme. Compounds binding at this site interfere with well-known and conserved conformational changes associated with NADPH reduction, acting as a doorstop for cofactor entry. They selectivity inhibit TGR from Schistosoma mansoni and are active against parasites in culture. Since many members of the FAD/NAD-linked reductase family have similar catalytic mechanisms the unique mechanism of inhibition identified in this study for TGR broadly opens new routes to selectively inhibit homologous enzymes of central importance in numerous diseases

    Relationship between disgust propensity and contamination obsessive-compulsive symptoms: The mediating role of information processing bias

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    Background: Early studies showed that disgust contributes to developing the contamination obsessive-compulsive disorder (C-OCD) and fear of contamination. Despite considering disgust to explain the fear of contamination as a symptom of C-OCD, there are few studies on the mediating role of information processing bias (IPB) in the relationship between disgust propensity (DP) and the fear of contamination. Objectives: The current study aimed at exploring the mediating role of IPB between DP and fear of contamination. Methods: The current descriptive-analytical study was conducted on 386 students selected by cluster sampling method. The employed tools were disgust propensity and sensitivity scale-revised (DPSS-R), the Padua inventory (PI), obsessive beliefs questionnaire (OBQ), and spatial cueing task. Data were analyzed with Amos-22 software. Bootstrap methods were used to analyze the mediating role. Results: Results of the structural equation modeling (SEM) indicated that the proposed model had a good fitness GFI (goodness of fit index), TLI (the Tucker-Lewis index), and CFI (comparative fit index) > 0.95 and RMSEA (root mean square error of approximation) = 0.03. The results showed that the relationship between DP and fear of contamination was mediated by IPB. Conclusions: Results indicated the impact of disgust propensity on fear of contamination through information processing. These findings emphasized that information processing is essential to explain C-OCD. © 2018, Author(s)
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