Determination of minimum data set (MSD) in echocardiography reporting system to exchange with Iran's electronic health record (EHR) system

Background: Determination of minimum data set (MDS) in echocardiography reports is necessary for documentation and putting information in a standard way, and leads to the enhancement of electrocardiographic studies through having access to precise and perfect reports and also to the development of a standard database for electrocardiographic reports. Aim: To determine the minimum data set of echocardiography reporting system to exchange with Iran's electronic health record (EHR) system. Methods: First, a list of minimum data set was prepared after reviewing texts and studying cardiac patients' records. Then, to determine the content validity of the prepared MDS, the expert views of 10 cardiologists and 10 health information management (HIM) specialists were obtained; to estimate the reliability of the set, test-retest method was employed. Finally, the data were analyzed using SPSS software. Results: The highest degree of consensus was found for the following MDSs: Patient's name and family name (5), accepting doctor's name and family name, familial death records due to cardiac disorders, the image identification code, mitral valve, aortic valve, tricuspid valve, pulmonary valve, left ventricle, hole, atrium valve, Doppler examination of ventricular and atrial movement models and diagnoses with an average of. Conclusions: To prepare a model of echocardiography reporting system to exchange with EHR system, creation a standard data set is the vital point. Therefore, based on the research findings, the minimum reporting system data to exchange with Iran's electronic health record system include information on entity, management, medical record, carried-out acts, and the main content of the echocardiography report, which the planners of reporting system should consider. © 2016 Zahra Mahmoudvand, Mehran Kamkar, Leila Shahmoradi, Ahmadreza Farzaneh Nejad

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

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

Teachers’ technology literacy in Iran’s national curriculum on education and training in work and technology

Background and Objectives:Technology is changing rapidly, and as new technologies are created, existing technologies are being improved and developed. The technologies of the 21st century have brought possibilities to mankind, and the advances that have taken place surround human life today from all sides. Among these changes are the impact of technological advances in education and the resulting changes in the teaching-learning process. In today's world, educational systems are looking for new approaches to help them rebuild in the face of global changes. For this reconstruction, they need a rich curriculum, flexible education, effective educational leadership, a suitable learning environment and educational content, and capable and professional teachers. Readiness to use technology and knowledge of how technology supports students' learning should be one of the basic skills of teachers. Teachers' ability in the field of technology literacy enables them to use new technologies in the teaching-learning process, especially information and communication technology, thereby improving the quality of their education and the level of information literacy of students and access to a wide range of information learning resources The purpose of this study was to investigate teachers’ technology literacy in the national curriculum on Education and Training in Work and Technology. Method and Materials: This research is conducted as a descriptive study using content analysis technique. The population was three main education documents including National Comprehensive Scientific Map; The Fundamental Transformation of Education Document; and The National Curriculum Document. Data collection instruments were checklists. Descriptive and inferential statistics were used to determine the frequencies and test the results of univariate t-test and Kruskal-Wallis test. Gutmann factor was used to test the reliability. Findings: The results show agreement between .48 to .95 coefficients for the validity checklists using content validity. The findings of the study show that the level of attention to teacher technology literacy in National Curriculum in the Domain of Teaching and Education Work and Technology was higher than average; and to a largely extent it is appropriately cared for. There is no significant difference between technology literacy standards in terms of compliance with the competencies intended for teachers. Conclusion: The results show that there is no significant difference between teachers' technology literacy standards and their compliance with the required competencies. Optimal implementation of the national curriculum in the relevant field requires the special assistance and attention of teachers and the use of appropriate professional competencies provided in this program; so its provisions should be taken seriously into account in human resource engineering and in training programs, recruitment and empowerment and retraining teachers before and during service Due to the comprehensive national curriculum in the field of training and learning work and technology, in the field of technology literacy, the content should be included in the preparation and compilation of all educational content, including textbooks, curriculum guide and production of educational packages, etc

Genome-scale co-expression network comparison across escherichia coli and salmonella enterica serovar typhimurium reveals significant conservation at the regulon level of local regulators despite their dissimilar lifestyles

Availability of genome-wide gene expression datasets provides the opportunity to study gene expression across different organisms under a plethora of experimental conditions. In our previous work, we developed an algorithm called COMODO (COnserved MODules across Organisms) that identifies conserved expression modules between two species. In the present study, we expanded COMODO to detect the co-expression conservation across three organisms by adapting the statistics behind it. We applied COMODO to study expression conservation/divergence between Escherichia coli, Salmonella enterica, and Bacillus subtilis. We observed that some parts of the regulatory interaction networks were conserved between E. coli and S. enterica especially in the regulon of local regulators. However, such conservation was not observed between the regulatory interaction networks of B. subtilis and the two other species. We found co-expression conservation on a number of genes involved in quorum sensing, but almost no conservation for genes involved in pathogenicity across E. coli and S. enterica which could partially explain their different lifestyles. We concluded that despite their different lifestyles, no significant rewiring have occurred at the level of local regulons involved for instance, and notable conservation can be detected in signaling pathways and stress sensing in the phylogenetically close species S. enterica and E. coli. Moreover, conservation of local regulons seems to depend on the evolutionary time of divergence across species disappearing at larger distances as shown by the comparison with B. subtilis. Global regulons follow a different trend and show major rewiring even at the limited evolutionary distance that separates E. coli and S. enterica

Synergistic effect of expanded graphite-silane functionalized silica as a hybrid additive in improving the thermal conductivity of cementitious grouts with controllable water uptake

Recently, a growing demand for geothermal applications has led to the exploitation of energy efficiently by developing grouting materials in the borehole between pipes and the ground. Therefore, the current study developed newly formulated cementitious grouts by the integration of expanded graphite (EG)-based hybrid additives synthesized by building chemical bridges between silica particles and EG in the presence of amino functional silane coupling agents. These produced hybrid additives with controlled EG and silica ratios were utilized in grout mixtures used in borehole heat exchangers to enhance the thermal conductivity. According to the optimization study on the formulation development of grout mixtures with bentonite, silica sands, cement, and superplasticizer by adding neat EG and EG-based hybrids, the relationship between the carbon amount and water demand was found to have a significant impact on thermal conductivity. The highest thermal conductivity value of 2.656 W/mK was achieved by the incorporation of 5 wt% hybrid additive with the ratio silica/EG of 1:5 compared to the reference grout, which showed a thermal conductivity of 2.373 W/mK. Therefore, the enhancement in thermal conductivity was dependent on the increase in the EG content and also the additive loading ratio, resulting in a slight increase in the water demand

Facile synthesis of graphene from waste tire/silica hybrid additives and optimization study for the fabrication of thermally enhanced cement grouts

This work evaluates the effects of newly designed graphene/silica hybrid additives on the properties of cementitious grout. In the hybrid structure, graphene nanoplatelet (GNP) obtained from waste tire was used to improve the thermal conductivity and reduce the cost and environmental impacts by using recyclable sources. Additionally, functionalized silica nanoparticles were utilized to enhance the dispersion and solubility of carbon material and thus the hydrolyzable groups of silane coupling agent were attached to the silica surface. Then, the hybridization of GNP and functionalized silica was conducted to make proper bridges and develop hybrid structures by tailoring carbon/silica ratios. Afterwards, special grout formulations were studied by incorporating these hybrid additives at different loadings. As the amount of hybrid additive incorporated into grout suspension increased from 3 to 5 wt%, water uptake increased from 660 to 725 g resulting in the reduction of thermal conductivity by 20.6%. On the other hand, as the concentration of GNP in hybrid structure increased, water demand was reduced, and thus the enhancement in thermal conductivity was improved by approximately 29% at the same loading ratios of hybrids in the prepared grout mixes. Therefore, these developed hybrid additives showed noticeable potential as a thermal enhancement material in cement-based grouts

Celiac disease and hepatitis C relationships in transcriptional regulatory networks

Aim: we mainly aimed to elucidate potential comorbidities between celiac disease and hepatitis c by means of data and network analysis approaches. Background: understanding the association among the disorders evidently has important impact on the diagnosis and therapeutic approaches. Celiac disease is the most challenging, common types of autoimmune disorders. On the other hand, hepatitis c virus genome products like some proteins are supposed to be resemble to gliadin types that in turn activates gluten intolerance in people with inclined to gluten susceptibilities. Moreover, a firm support of association between chronic hepatitis and celiac disease remains largely unclear. Henceforth exploring cross-talk among these diseases will apparently lead to the promising discoveries concerning important genes and regulators. Methods: 321 and 1032 genes associated with celiac disease and hepatitis c retrieved from DisGeNET were subjected to build a gene regulatory network. Afterward a network-driven integrative analysis was performed to exploring prognosticates genes and related pathways. Results: 105 common genes between these diseases included 11 transcription factors were identified as hallmark molecules where by further screening enriched in biological GO terms and pathways chiefly in immune systems and signaling pathways such as chemokines, cytokines and interleukins. Conclusion: in silico data analysis approaches indicated that the identified selected combinations of genes covered a wide range of known functions triggering the inflammation implicated in these diseases

Celiac disease and hepatitis C relationships in transcriptional regulatory networks

Aim: we mainly aimed to elucidate potential comorbidities between celiac disease and hepatitis c by means of data and network analysis approaches. Background: understanding the association among the disorders evidently has important impact on the diagnosis and therapeutic approaches. Celiac disease is the most challenging, common types of autoimmune disorders. On the other hand, hepatitis c virus genome products like some proteins are supposed to be resemble to gliadin types that in turn activates gluten intolerance in people with inclined to gluten susceptibilities. Moreover, a firm support of association between chronic hepatitis and celiac disease remains largely unclear. Henceforth exploring cross-talk among these diseases will apparently lead to the promising discoveries concerning important genes and regulators. Methods: 321 and 1032 genes associated with celiac disease and hepatitis c retrieved from DisGeNET were subjected to build a gene regulatory network. Afterward a network-driven integrative analysis was performed to exploring prognosticates genes and related pathways. Results: 105 common genes between these diseases included 11 transcription factors were identified as hallmark molecules where by further screening enriched in biological GO terms and pathways chiefly in immune systems and signaling pathways such as chemokines, cytokines and interleukins. Conclusion: in silico data analysis approaches indicated that the identified selected combinations of genes covered a wide range of known functions triggering the inflammation implicated in these diseases

Global and regional left ventricular function improvement following successful percutaneous coronary intervention in patients with ischemic left ventricular dysfunction

This study assessed changes in global and regional systolic left ventricular function after successful percutaneous recanalization of coronary artery occlusions. A consecutive series of 110 patients with mean ± SD age of 53.6 ± 9.1 years, in whom a complete angiographic evaluation was available before angioplasty, underwent successful percutaneous recanalization of significant occlusions of coronary arteries. Left ventricular ejection fraction and wall motion score index were assessed by echocardiography at baseline, and 1, and 6 months after recanalization. Left ventricular ejection fraction increased from a mean ± SD of 40.7 ± 4.52 at baseline to 50 ± 8.3 after one month (P < 0.001) and to 50.9 ± 8.5 after 6 months. There was no significant difference between left ventricular ejection fraction at the end of the first and the sixth month of treatment (P = NS). The wall motion score index decreased from 1.3 ± 0.2 at baseline to 1.1 ± 0.2 after one month (P < 0.01). There was no significant difference between 1 and 6 months results. Six-month follow-up of all patients showed significant improvement in both angina severity and NYHA class. The restoration of coronary potency of occluded coronary arteries by successful percutaneous recanalization is associated with significant improvement in regional and global left ventricular function and clinical outcome

A geometric morphometric study on geographical Iranian populations of the pod borer, Helicoverpa armigera (Lepidoptera: Noctuidae)

Multivariate analyses of the morphological variation in five geographical populations of the pod borer, Helicoverpa armigera (Hübner), was performed using 15 and 12 landmarks selected from the fore- and hindwings respectively. Using their geometric morphometric characters (26 in the forewings and 20 in the hindwings), 287 and 277 images of fore- and hindwings were made respectively. Analyses of size showed the wings of the females are bigger than those of the males (forewing: F = 3.98, P = 0.047; hindwing: F = 14.62, P = 0.000) on populations tested. The discriminant function analysis (DFA) of fore- and hindwings differentiated five geographical populations with 86.1% and 69.3%, respectively. The multivariate analysis of variance (MANOVA) of shape variables in fore- and hindwings indicated significant differences among populations as well as sexes (at least for one of the shape variables). Sex interaction within the populations was significant in fore- and hindwings, particularly based on the hindwing landmarks. The relative warp analysis (RWA) showed well-supported discrimination between sexes. The results showed significant difference between the sexes and also within the populations