500 research outputs found

    Multi-scale modeling of composites

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    Hemi-ESES associated with agenesis of the corpus callosum and normal cognition.

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    Corpus callosum plays the important role in bilateral synchronous expression of focal discharges of ESES. Sparing dominant hemisphere form continuous spike and slow waves during sleep accounts for normal cognitive scores. Early detection and treatment of ESES have a great impact on cognitive and language scores and final prognosis

    Automatic Identification of Personal Automobiles Plates of Iran Using Genetic Algorithm

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    In this study, a new method for using LPR systems for Iranian plates number has been presented. Increasing the precision of the letter recognition process and reducing the amount of training are in fact the main advantages of the new hybrid model. The K-NN has been implemented as the first classification method, because it was simple, and it was resistant to the noisy data, and for large datasets it is also effective at zero cost. The confusion problem related to the similarity of letters in plate numbers has also been resolved by using the classification model of the multi-class genetic algorithm. The genetic algorithm improves K-NN performance in the recognition of similar letters. Vehicle license plate recognition (LPR) plays an important role in ITS and is mainly used in access control systems.The purpose of this research is to determine the Iranian plate automobiles that are specifically owned by the automobile. The confusion caused by the similarity between the letters of the alphabet and numeric characters is one of the problems of the Persian LPR systems at the diagnostic stage. In this regard, a method using the KNN-based advantages of genetic algorithm as a hybrid model is presented in this study to overcome the above problem. The genetic algorithm has been trained and tested only with the same letters, thus the cost of training for the genetic algorithm has significantly decreased. Comparison of the results obtained from the experiments carried out in this study with the results of a similar study shows that the combined KNN-genetic algorithm model significantly improved the detection rate of the letters for all tested cases from 94% to 97.03% . Keywords: Coding, plate recognition, genetics, Iran automobile, Genetic Algorithm DOI: 10.7176/CEIS/10-6-04 Publication date:July 31st 2019

    Scour control at bridge piers using macro-roughness elements

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    A new approach involving macro-roughness elements is proposed as a scour countermeasure at circular bridge piers subject to debris accumulation. Experiments were carried out under clear water conditions with the approaching flow velocity set at the threshold of sediment motion. The efficiency of the method was investigated in terms of scour morphology reduction and temporal scour evolution. The results show the effectiveness of the method in reducing maximum scour depth. In some cases, the elements did not reduce the maximum scour depth but were effective in reducing the volume of the scour hole. Based on the experimental data, empirical equations were derived to estimate the temporal local scour depth in the presence of debris accumulation and macro-roughness elements

    Expression of let-7 family as a survival biomarker for lung cancer: A meta-analysis

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    Introduction: Lung cancer is the most common cancer among men around the world. Today, by evaluating the expression of microRNA biomarkers, cancer cells can be detected in specific tissues. However, it's still controversy that the expression of let-7 in the prognosis of patients with lung cancer is informative.Material and Methods: A meta-analysis was performed by searching Google Scholar, PubMed, Scopus, Web of Science, IranMedex, MEDLIB, IranDoc and Scientific Information Database(SID). All data were extracted from articles comparing prognosis in patients with lung cancer having low expression of let-7 with those having high expression. Pooled hazard ratios (HRs) and corresponding 95 % confidence intervals (CIs) were calculated. Subgroup analyses were conducted for ethnicity.Results: A total of 1,370 cases of lung cancer were involved for this meta-analysis. The HR of low let-7 expression was 1.32 (95 % CI 0.68–2.58). A subgroup analysis was performed on ethnicity; combined HR was 1.56 (95 % CI 0.52–4.62) for Asians and 1.08 (95%CI 0.42–2.74) for non-Asians.Conclusion: There was no significant relationship between the expression of let-7 and lung cancer, let-7 might be a biomarker in Asian patients with favourable prognosis. Furthermore, with large-scale investigations, useful prognostic microRNA biomarkers in the diagnosis, treatment and follow-up could be detected.
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