A study of the relationship between social anxiety, social self-efficacy and body image in the girl students of the Islamic Azad University at Tonekabon Branch

The aim of this study is to investigate the relationship between the social anxiety, social self-efficacy and body image in the girl students of the Islamic Azad University at Tonekabon Branch. The statistical sample is 240 girl students selected by stratified random sampling among 630 girl students who were studying in B.A level of humanities college in the Islamic Azad University at Tonekabon Branch in the academic year of 2012-2013. The tool used in this research consists of: social anxiety scale (Conor et al, 2000), self-efficacy scale for the social situations (Gaudiano and Herbert, 2003) and body image test (Fischer, 1970). The statistical analysis by Pearson correlation and multivariable regression showed that there was a negative and significant relationship between the social anxiety and body image of the girl students while there was a positive and significant relationship between the social self-efficacy and body image of the girl students

Maxillary Arch Dimension Changes of 3-5 Years Old Filipino Children

Background: The purpose of this study was to assess the dental arch dimensions in primary dentition of 3-5 years old Filipino children and determining the existence of sexual dimorphism.Materials and Methods: In this descriptive study, 60 Filipino preschool children aged 3-5 years old were selected from Manila city. Study casts were used for measurements of 3 arch dimensions: bicanine width, bimolar width, and arch length. The analyses were performed to compare values within age-groups and within gender-groups, besides reporting mean and standard deviations. The data were subjected to One-way ANOVA and Student t-test.Results: Significant differences were observed regarding dental arch dimensions among different ages and genders (p<0.05). Comparison between genders showed a statistically significant difference in bicanine width at the age of 4 (p=0.04), in bimolar width at age of 5 (p=0.006), and in arch length at age of 4 (p=0.03) and 5 (p=0.02). Differences within male group for different ages showed only arch length dimension was statistically significant (p=0.021). In females, however the comparison between age-groups also revealed a statistically significant difference in bicanine (p= 0.016) and bimolar widths (p=0.027) dimensions.Conclusion: The present study showed that dental arch dimensions, vary among different ages and genders of children. It also showed that a sexual dimorphism does exist between the gender groups

A Survey on Deep Learning Role in Distribution Automation System : A New Collaborative Learning-to-Learning (L2L) Concept

This paper focuses on a powerful and comprehensive overview of Deep Learning (DL) techniques on Distribution Automation System (DAS) applications to provide a complete viewpoint of modern power systems. DAS is a crucial approach to increasing the reliability, quality, and management of distribution networks. Due to the importance of development and sustainable security of DAS, the use of DL data-driven technology has grown significantly. DL techniques have blossomed rapidly, and have been widely applied in several fields of distribution systems. DL techniques are suitable for dynamic, decision-making, and uncertain environments such as DAS. This survey has provided a comprehensive review of the existing research into DL techniques on DAS applications, including fault detection and classification, load and energy forecasting, demand response, energy market forecasting, cyber security, network reconfiguration, and voltage control. Comparative results based on evaluation criteria are also addressed in this manuscript. According to the discussion and results of studies, the use and development of hybrid methods of DL with other methods to enhance and optimize the configuration of the techniques are highlighted. In all matters, hybrid structures accomplish better than single methods as hybrid approaches hold the benefit of several methods to construct a precise performance. Due to this, a new smart technique called Learning-to-learning (L2L) based DL is proposed that can enhance and improve the efficiency, reliability, and security of DAS. The proposed model follows several stages that link different DL algorithms to solve modern power system problems. To show the effectiveness and merit of the L2L based on the proposed framework, it has been tested on a modified reconfigurable IEEE 32 test system. This method has been implemented on several DAS applications that the results prove the decline of mean square errors by approximately 12% compared to conventional LSTM and GRU methods in terms of prediction fields.©2022 Authors. Published by IEEE. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/fi=vertaisarvioitu|en=peerReviewed

Estimating the Value of Improvement in Lake Urmia’s Environmental Situation Using Choice Experiment

The Lake Urmia and its satellite wetlands have been selected as a demonstration site for the United Nations Development Program/Global Environment Facility/Department of Environment Conservation of Iranian Wetlands Project. This project aims to demonstrate reduction of the major threats of this wetland protected area coordinated through an integrated management plan. A choice experiment was developed to examine public preferences and elicit their willingness to pay on improvements in lake’s indicators toward good environmental status. A pilot choice experiment study was administered in Urmia municipality and the data were analyzed using a random parameter logit model. The results revealed that residents of this municipality might strongly prefer improvement in water quantity and were willing to pay significant amounts to promote current water level to the highest level. Furthermore, water quality, numbers of flamingos and Artemia stock were identified as the next important issues which warranted additional management attention

Oral Squamous Cell Carcinoma: Focus on Biomarkers for Screening

Oral cancer is a malignant neoplasia that can originate in the oral cavity or lips. It is a serious global health problem and one of the ten most common cancers worldwide. Over the years, changes in the trends of the oral cavity and oropharyngeal cancers have been observed. The management of oral cancer is complicated due to the functional and cosmetic consequences of treating malignancies at these anatomical locations. The tumor and its treatment can affect a variety of functional activities, including smell, sight, speaking, respiration, taste, jaw function, and mastication, either temporarily or permanently. Based on the importance of this tumor, screening oral cancer for early detection and finding the best biomarkers for diagnosis is a crucial concern. In this review of literature, the etiology, risk factors, treatment, and diagnosis of oral cancer will be reviewed with a focus on the most important biomarkers

The nutrition knowledge level of physicians, nurses and nutritionists in some educational hospitals

Nutritional care is an important part of medical care of patients and plays a key role in improvement, prevention and control of malnutrition in hospitals. The current study aimed to determine the nutrition knowledge level of doctors, nurses and nutritionists in some teaching hospitals in Tehran in 2008. In a cross-sectional study a total of 198 samples including 28 nutritionists, 81 nurses and 89 physicians were selected using simple random sampling. The current study was conducted in 9 hospitals affiliated with the Shahid Beheshti University of Medical Sciences (SBMU) in Tehran. A self-administered multiple choice questionnaire about different aspects of basic and clinical nutrition was completed. Then nutrition knowledge levels of each individual was determined by calculating correct knowledge, perceived knowledge and accuracy of knowledge scores. The median knowledge score of the nutritionists, physicians, and nurses was 85%,77%, and 75%, respectively. The median perceived knowledge of all the groups was above 90%. The mean accuracy score in the 3 groups of nutritionists, physicians and nurses was 87%,79%, and 76%, respectively. The results indicated that all groups have a poor knowledge, especially in clinical nutrition topics. Based on the current results, knowledge level of clinical staff is an effective factor in not paying attention to the importance of nutritional care as a part of medical care of the patients. Enhancing awareness level of all groups especially physicians and nutritionists in clinical division plays an important role in enhancing clinical nutrition care and treatment regime

BMI1 and TWIST1 Downregulated mRNA Expression in Basal Cell Carcinoma

Background: BMI1, TWIST1 and SNAI2/SLUG have been implicated in aggressive behavior of squamous cell carcinoma (SCC) and melanoma and BMI1 expression could identify subtypes of Merkel cell carcinoma (MCC). However, BMI1, TWIST1 and SNAI2 expression levels in basal cell carcinomas (BCCs) have not been elucidated. We hypothesized BCC could be a good model system to decipher mechanisms which inhibit processes that drive tumor metastasis. The aim of this study was to examine the mRNA expression level of BMI1, TWIST1, and SNAI2 in BCCs. Materials and Methods: Thirty-five fresh non-metastatic BCC tissue samples and seven fresh normal skin tissue samples were evaluated by real-time RT-PCR. Results: BMI1 and TWIST1 demonstrated marked down-regulation (p< 0.00l, p= 0.00l respectively), but SNAI2 showed no significant change (p=0.12). Conclusions: Previous literature has clearly demonstrated a positive association between BMI1 and TWIST1 expression and metastatic BCC, aggressive SCC and melanoma. Here, we demonstrated a negative association between BMI1 and TWIST1 mRNA expression level and BCC

Effects of Oil Supplements on Growth Performance, Eating Behavior, Ruminal Fermentation, and Ruminal Morphology in Lambs during Transition from a Low- to a High-Grain Diet

The objectives of this study were to investigate the effect of a maximum recommended oil supplementation on growth performance, eating behavior, ruminal fermentation, and ruminal morphological characteristics in growing lambs during transition from a low- to a high-grain diet. A total of 21 Afshari male lambs with an initial body weight (BW) of 41.4 ± 9.1 kg (mean ± SD) and at 5–6 months of age were randomly assigned to one of three dietary treatments (n = 7 per group), including (1) a grain-based diet with no fat supplement (CON), (2) CON plus 80 g/d of prilled palm oil (PALM), and (3) CON plus 80 g/d soybean oil (SOY); oils were equivalent to 50 g/kg of dry matter based on initial dry matter intake (DMI). All lambs were adapted to the high-grain diet for 21 d. In the adaptation period, lambs were gradually transferred to a dietary forage-to-concentrate ratio of 20:80 by replacing 100 g/kg of the preceding diet every 3 d. Thereafter, lambs were fed experimental diets for another 22 days. Fat-supplemented lambs had greater DMI, body weight (BW), and average daily gain (ADG), with a lower feed to gain ratio (p 0.05). The results from this study suggest that fat supplementation to high-grain diets may improve the development of ruminal epithelia and modify ruminal fermentation via optimized eating behavior or the direct effect of oils on the ruminal environment, resulting in better growth performance in growing lambs

Periodic Limb Movements of Sleep: A Survey on Polysomnographic Characteristics of Patients with Obstructive Sleep Apnea

Background and Objective: Periodic limb movements of sleep (PLMS) and obstructive sleep apnea (OSA) are two common sleep disorders that frequently co-occur in one subject. In this study, we evaluated the polysomnographic (PSG) features of patients with OSA with and without PLMS. Materials and Methods: Patients with OSA diagnosed by PSG who referred to our sleep clinic over 2 years were studied for PLMS during a standard diagnostic sleep study. PSG features including apnea-hypopnea index (AHI), oxygen desaturation index (ODI), and sleep quality were evaluated and compared between patients with OSA with and without PLMS. Results: We evaluated 122 patients with OSA, of whom 17 had comorbid PLMS. Mean sleep quality was significantly lower in patients with PLMS compared to those without PLMS (P < 0.05). There was no significant difference in terms of mean age, gender, arousal index (AI), ODI, and apnea/hypopnea between the two groups. Conclusion: Patients with OSA with PLMS comorbidity have remarkably lower sleep quality and this finding is independent of the severity of arousals or respiratory events. Proper evaluation, diagnosis, and treatment of PLMS comorbidity in patients with OSA might improve treatment response.