414 research outputs found

    Managing Emotions in the Self & Iranian EFL Learners’ Vocabulary Size

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    Emotional intelligence as a general ability is increasingly relevant to organizational development as its principles provide a new way to understand and assess one’s attitude, management styles, personal and interpersonal capabilities. The present research basically aimed at finding out whether managing one’s thought as a subscale of emotional intelligence has any relationship with vocabulary achievement of EFL learners or not. For this purpose, a total number of 45 Iranian EFL learners participated in the study. An achievement pre and posttests of vocabulary along with a questionnaire on emotional intelligence were administered. Then, the relationship between vocabulary gain scores and emotional intelligence, as a total entity, and managing one’s thought, as one of its subcomponents, were obtained through Pearson Product-Moment correlation coefficient formula. The results revealed that there is a positive relationship between emotional intelligence and vocabulary gain, on one hand, and managing one’s thought, on the other hand for Iranian EFL learners. This implies that the more an individual is emotionally intelligent and can manage the self, the more his vocabulary achievement in language classes would be

    Effects of formulation and baking process on acrylamide formation in Kolompeh, a traditional cookie in Iran

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    Thermal treatments and recipes are two critical aspects for the formation of acrylamide at ordinary household cooking conditions and industrial level. Kolompeh is a traditional Iranian cookie, and the aim of this study was to monitor acrylamide formation in four different recipes: traditional sugary Kolompeh (TSK), traditional simple Kolompeh (TSIK), industrial sugary Kolompeh (ISK), and industrial simple Kolompeh (ISIK). Along with the measurement of reducing sugars, moisture, and pH, acrylamide was quantified by gas chromatography mass spectrometry (GC-MS). Results indicated that acrylamide content was 1758, 1048, 888, and 560 μg/kg for TSK, TSIK, ISK, and ISIK, respectively, revealing that the kind of thermal treatment in combination with higher concentrations of reducing sugars were the major driver for acrylamide formation. In particular, acrylamide concentration in TSIK direct heating was 1.87 times higher than industrial indirect heating treatment, highlighting that domestic preparation of Kolompeh required a specific attention as a source of potential toxic molecule formation

    A new scaling equation for imbibition process in naturally fractured gas reservoirs

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     Spontaneous imbibition is an important mechanism in naturally fractured reservoirs. Efforts were made to study matrix-fracture interaction where matrix blocks are surrounded by water-filled fractures by developing the scaling groups. Despite previous studies about the scaling groups introduced to characterize the imbibition process in oil reservoirs, gas reservoirs have been less considered. In this paper, the effects of various factors on the spontaneous imbibition in the gas reservoirs were investigated and by inspectional analysis, a modified scaling equation was introduced. The proposed scaling equation includes a variety of fluid and rock parameters. Furthermore, the efficiency of the presented scaling equation was tested in several cases with considerable different fluid and rock properties. The imbibition process in these cases were simulated by means of a realistic procedure. A comparison of the performance results of the new scaling equation for the defined cases showed much better accuracy for the imbibition scaling in the gas reservoirs by means of the presented scaling group in this work.Cited as: Ghasemi, F., Ghaedi, M., Escrochi, M. A new scaling equation for imbibition process in naturally fractured gas reservoirs. Advances in Geo-Energy Research, 2020, 4(1): 99-106, doi: 10.26804/ager.2020.01.0

    Inter-Rater Agreement of Emergency Nurses and Physicians in Emergency Severity Index (ESI) Triage

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    Introduction: Triage is one of the most important systems in patients prioritizing at the time of arrival to hospital. Based on the severity of the injury and the need for treatment, this system manages patients in the least time which could lead to rotation of patients with high reliability and safety. Currently, the most accepted method for triage is emergency severity index (ESI) system, considered as five-level triage method, too. This method were implemented in Al Zahra Hospital of Isfahan by trained nurses since March to May 2010. This study was aimed to evaluate the accuracy of emergency nursing triage using ESI. Methods: This prospective cross sectional study was carried out on 601 patients referred to Al-Zahra hospital of Isfahan through May 2010. The patients’ triage level were determined by physicians and nurses separately and the results compared. To define the level of agreement between two groups (inter-rater agreement), the kappa index was evaluated. To specify the association between the time interval of initial triage and patient final status, Chi-Square test was applied using SPSS 18 statistical software. Results: There was no significant difference between results of nurses and physicians triage (P<0/0001). The agreement level (kappa index) between two groups was 94% (95% CI: 0.931-0.957). Of 601 patients, 44.1% ones were hospitalized at the emergency department, 52.6% discharged and 3.3% died. The average of time interval between nursing triage and physician visit was 9.55 minutes at the level one triage, 21.64 minutes at level two, 26.03 minutes at level three, 26.93 minutes at level four, and 11.70 minutes at level five. Conclusion: It seems that there is an acceptable inter-rater agreement between emergency nurses and physicians regarding patients’ triage in terms of ESI system

    Intravitreal Methotrexate

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    Intravitreal methotrexate (MTX) has been proven to be an effective treatment for various intraocular diseases. In this article, a comprehensive review was performed on intravitreal applications of methotrexate. Different aspects of the administration of intravitreal MTX for various clinical conditions such as intraocular tumors, proliferative vitreoretinopathy, diabetic retinopathy, age-related macular degeneration, and uveitis were reviewed and the adverse effects of intravitreal injection of MTX were discussed. The most common indications are intraocular lymphoma and uveitis. Other applications remain challenging and more studies are needed to establish the role of intravitreal MTX in the management of ocular diseases

    The association of the betatrophin level with metabolic and inflammatory parameters in infertile women with polycystic ovary syndrome: A case-control study

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    Background: Betatrophin may be associated with metabolic diseases. Objective: To investigate the betatrophin level and its association with metabolic and inflammatory parameters in infertile women with polycystic ovary syndrome (PCOS) and other infertile women during the intrauterine insemination cycle. Materials and Methods: This case-control study was conducted with 90 infertile women (45 with PCOS and 45 without) chosen by convenience sampling, in the infertility clinic of Imam Khomeini Hospital in Tehran, Iran. Participants were interviewed to obtain their age, body mass index, and reproductive history. Fasting brachial venous blood samples were obtained on the 3rd day of the menstrual cycle to measure the levels of betatrophin, fasting blood sugar, insulin, luteinizing hormone, folliclestimulating hormone, low-density lipoprotein cholesterol, estradiol, and high-sensitivity C-reactive protein. Results: The results showed that the level of betatrophin in women with PCOS was significantly higher than in the control group (p = 0.05). Based on multiple linear regression analyses, the effects of metabolic and inflammatory parameters on betatrophin were not significant (p = 0.19). The results showed no significant difference between groups in folliculogenesis (p = 0.57). Conclusion: According to the results, betatrophin levels were higher in infertile women with PCOS than in those without. The findings suggest that there may be an association between increased betatrophin and increased incidence of PCOS. Further studies with a larger sample size are needed to investigate the role of betatrophin in insulin resistance and lipid metabolism, and its effects on infertility treatment outcomes. Key words: ANGPTL8 protein human, Infertility, Polycystic ovary syndrome, Iran

    System reliability analysis of the scoliosis disorder.

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    BACKGROUND: Scoliosis is a spine abnormal deviation, which is an idiopathic disorder among children and adolescents. As a matter of the fact, distribution of loads on the patient\u27s spine and load-carrying capacity of the vertebral column are both random variables. Therefore, the probabilistic approach may consider as a sophisticated method to deal with this problem. METHOD: Reliability analysis is a probabilistic-based approach to consider the uncertainties of load and resistance of the vertebral column. The main contribution of this paper is to compare the reliability level of a normal and scoliosis spinal. To do so, the numerical analyses associated with the inherent random parameters of bones and applied load are performed. Then, the reliability indices for all vertebrae and discs are determined. Accordingly, as the main innovation of this paper, the system reliability indices of the spinal column for both normal and damaged backbone systems are represented. RESULTS: Based on the required reliability index for normal spinal curvature the target system reliability level for scoliosis disorder is proposed. CONCLUSION: Since the proposed target reliability index is based on the strength limit state of the vertebral column, it can be considered as a reliability level for any proposed treatment approaches

    Improving Performance of Object Detection using the Mechanisms of Visual Recognition in Humans

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    Object recognition systems are usually trained and evaluated on high resolution images. However, in real world applications, it is common that the images have low resolutions or have small sizes. In this study, we first track the performance of the state-of-the-art deep object recognition network, Faster- RCNN, as a function of image resolution. The results reveals negative effects of low resolution images on recognition performance. They also show that different spatial frequencies convey different information about the objects in recognition process. It means multi-resolution recognition system can provides better insight into optimal selection of features that results in better recognition of objects. This is similar to the mechanisms of the human visual systems that are able to implement multi-scale representation of a visual scene simultaneously. Then, we propose a multi-resolution object recognition framework rather than a single-resolution network. The proposed framework is evaluated on the PASCAL VOC2007 database. The experimental results show the performance of our adapted multi-resolution Faster-RCNN framework outperforms the single-resolution Faster-RCNN on input images with various resolutions with an increase in the mean Average Precision (mAP) of 9.14% across all resolutions and 1.2% on the full-spectrum images. Furthermore, the proposed model yields robustness of the performance over a wide range of spatial frequencies
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