Background In recently years، plant-assistant bioremediation is preferred to the other methods and causes increasing of remediation efficiency. Among this، applying chelating such as Ethylenediamine disuccinic acid (EDDS) can probably affect soil heavy metal availability that increase phytoremediation efficiency. Thus، this research was conducted to evaluate the effectiveness of EDDS chelate on corn (Maxima CV) Cadmium uptake in a soil treated with Arak municipal waste compost. Methods A factorial experiment with a randomized complete block design with 3 factors in three replications was conducted in greenhouse conditions. Treatments were consisted of applying Arak municipal waste compost (0. 15 and 30 t ha-1)، soil polluted cadmium (0، 20، 30 and 40 mg Cd kg soil-1) from Cd(NO3)2 sources and applying EDDS chelate (0 and 1. 5 mmol kg soil-1). After 60days، soil physic-chemical properties and root and shoot cadmium concentration was measured. Results Applying 1. 5 mmol kg soil-1 EDDS chelate in a Cd polluted soil (40 mg Cd kg soil-1) without receiving Arak municipal waste compost caused a significant increasing in Cd availability by 21 percent، while applying 1. 5 mmol kg soil-1 EDDS chelate in a Cd polluted soil (40 mg Cd kg soil-1) with receiving 30 t ha-1 Arak municipal waste compost increased the Cd availability by 10 percent. Conclusion The EDDS chelate effectiveness was affected by soil organic matter، as، with increasing the amount of Arak municipal waste compost، the effectiveness of applying EDDS chelate was decreased. The similar results for root and shoot Cd concentration confirm this matter clearly.

One of the remediation methods for soil contaminated with heavy metals is to use hyperaccumolator plants which is known as phytoremediation. The use of a new generation of biodegradable chelate agents is increasing the efficiency of phytoremediation and preventing environmental pollution. Vetiver is a good option for using the new generation of chelators. The aim of this study was to investigate the effect of different levels of biodegradable chelates EDDS and MGDA at four levels (0, 1, 2 and 4 mmol per kg of soil) on increasing copper extraction at three levels of copper pollution (100, 200 and 400 mg kg-1 of soil) which was carried out by Vetiver grass (Chyrsopogon zizanioides L. ). The amount of copper uptake by vetiver in the presence of 4 mmol EDDS treatments at 100, 200 and 400 ppm levels of copper contamination were respectively 8281, 10125 and 10423 µ g plant-1 after 120 days, which were 51, 84 and 89 percent more than the one in control treatment (absence of chelate). The amount of copper uptake in 4 mmol MGDA treatment at the aformentioed levels were 5679, 7688 and 8831 µ g plant-1, respectively, which they were increased 19, 61 and 85 percent compared to the control treatment. Application of EDDS chelate increased the level of extractable copper with DTPA. The maximum amount of extractable copper at 4 mmol EDDS and MGDA and 400 ppm-copper treatment was 27. 5 and 16. 7% more than the one in control treatment, respectively. The mean values of bioconcentration factor (BCF) in 4 mmol of EDDS and MGDA were 0. 51 and 0. 37 respectively, and the mean value of translocation factor (TF) was 0. 19. The results of this study showed that vetiver has a special ability to remediate coppercontaminated soils and 4 mmol EDDS per kg of soil treatment intensifies the uptake of copper in the roots. Consequently, vetiver grass could be considered as a candidate species for phytostabilization of Cu pollution, which not only protect the soil but also reduces the risk of food chain pollution and EDDS is introduced as a suitable biodegradable chelate that enhances phytorermediation of copper by vetiver.

The study discusses the traditional and online procedures and outlines of SDI service. The paper has also taken an initiative to formulate an exact matching technique between user’s subject interest and document profile with exploration along with electronic delivery of voluminous information technique. It also discusses some standard features and model of user profile. Finally, the paper explores some possible requirements for performing online ‘SDI’ service.

Introduction: Eating disorders are serious psychiatric illness, defined by abnormal eating behaviors, shape and weight regulation difficulties and over weight concern. This study sought to explore the prevalence and intensity of anorexia nervosa, bulimia nervosa, binge eating and their sub-thresholds in women who referred to wellness and fitness centers.Methods: 946 women with a mean age of 24.64 were selected via convenience sampling among women who is residing in Shiraz. All participants were asked to complete Eating Disorder Diagnostic Scale (EDDS) and their body mass index (BMI) was calculated.Results: The prevalence rate of anorexia nervosa, bulimia nervosa, binge eating in whole sample is 6.02%, 4.01% and 13.0% respectively.Conclusion: DSM-5-defined eating disorders and its sub thresholds are common in women; binge eating with 16% prevalence rate is more common than other disorders. Further studies with assessing DSM-5 eating disorders in clinical and non-clinical population are greatly needed.

In this paper, we study a flow shop batch processing machines scheduling problem. The fuzzy due dates are considered to make the problem more close to the reality. The objective function is taken as the weighted sum of fuzzy earliness and fuzzy tardiness. In order to tackle the given problem, we propose a hybrid electromagnetism-like (EM) algorithm, in which the EM is hybridized with a diversification mechanism and effective local search to enhance the efficiency of the algorithm.The proposed algorithms are evaluated by comparison against two existing well-known EMs in the literature. Additionally, we propose some heuristics based on the earliest due date (EDD) to solve the given problem. The proposed hybrid EM algorithm is tested on sets of various randomly generated instances. For this purpose, we investigate the impacts of the rise in problem sizes on the performance of the developed algorithm. Through the analysis of the experimental results, the highly effective performance of the proposed algorithm is shown against the two existing well-known EMs from the literature and proposed EDDS.

Introduction: Overweight are affected by biological and genetic factors. One of the variables associated with being overweight is eating disorder. The purpose of this study was to investigate the causal model of eating disorder based on self-objectification, experiential avoidance and perfectionism with the mediating role of body image concern in the community of overweight women. Methods: The peresent study was descriptive correlation. The statistical population included overweight women with body mass index (BMI≥, 28) of Kangavar city in 2019, they had referred to sports clubs and health centers. 450 people were selected by available sampling method. Standard Eating Disorders Diagnostic Scale (EDDS),Self-reported (SO),Acceptance and Action (AAQ-II),Tehran Multidimensional Perfectionism (TMPS). Structural Equation Modeling and Spss and Amos software were used to analyze the data. Findings: Indicated that perfectionism, experiential avoidance, and self-objectification are exogenous variables that affect on the endogenous variable of eating disorder, both directly and indirectly. And the effect of other exogenous variables on the endogenous variable of eating disorder is only direct. Also, the mediating variable in the relationship between predictor and criterion variables has a significant partial effect. Conclusion: Self-objectification, experiential avoidance and perfectionism can be a good predictor of eating disorder in women through concern about their body image.

Background: Nowadays, thinness is generally considered as a standard of women's beauty, and high BMI is associated with negative physical and psychological consequences among women, including negative body image and eating disorders. Therefore, identifying the effective factors in reducing these outcomes seems necessary. The purpose of this study was to determine the moderating role of self-compassion in the relationship between body mass index, body image and symptoms of eating disorders. Methods: The research method was correlation and the statistical population was all female students of Tehran in 2018 that Among them, 345 students were selected by convenient sampling. Measurement tools included Eating Disorders Diagnostic Scale (EDDS), Self-compassion Measurement Scale (SCS) and Body Appreciation Scale (BAS-2). Data were analyzed using Pearson correlation coefficient and multiple regression analysis (hierarchical method). Results: The results showed that there was a significant positive correlation between body mass index and eating disorder (P<0. 01), and a significant negative correlation with body appreciation and self-compassion (P <0. 01). On the other hand, the results of hierarchical regression analysis showed that self-compassion moderates the relationship between body mass index and symptoms of eating disorders (P<0. 01), but it did not moderate the relationship between body mass index and body appreciation (P>0. 05). Conclusion: These findings showed that self-compassion may protect women against negative consequences of a high body mass index. As a result, self-compassion can be beneficial in improving mental health and preventing disorders.

Introduction: Binge eating disorder (BED) is one of the most common mental disorders in overweight and obese individuals. However, it seems that there are psychological differences between people with and without this disorder. The aim of the present research was to compare impulsivity and difficulties in emotion regulation in overweight women with and without BED.Materials and Methods: For the research a descriptive, causal comparative method was used.Participants were selected voluntarily from among overweight and obese women attending health houses, gyms and weight loss clinics of Tehran. Fifty-two women with BED were identified based on criteria of diagnostic and statistical manual of mental disorders (DSM) for BED and were matched with 52 women without BED in terms of BMI and age. The research instruments were the Eating Disorders Diagnostic Scale (EDDS), the Barratt Impulsivity Scale (BIS-11) and the Difficulties in Emotion Regulation Scale (DERS). Data was analyzed using Multivariate Analysis of Variance (MANOVA).Results: Findings showed that, compared with non-binge eating women, binge eating women had more impulsivity (P<0.05) and difficulties in emotion regulation (P<0.01).In particular, binge eating women had higher scores than non-binge eating women with regard to attentional impulsivity (P<0.01) and motor impulsivity (P<0.05). However, In terms of difficulties in emotion regulation, binge compared to non-binge eating women, binge-eating women had higher scores with regard to non-acceptance of negative emotions (P<0.01), difficulties engaging in Goal-Directed Behavior (P<0.01), Impulse Control Difficulties (P<0.01), and limited access to effective Emotion Regulation Strategies (P<0.01).Conclusion: These findings emphasize that impulsivity and difficulties in emotion regulation play an important role in individuals with BED and focusing on these factors would enhance treatment and management of BED patients.

Background and aims: Decreased levels of physical activity (PA) during the coronavirus disease 2019 (COVID-19) pandemic can cause physical and psychological problems for individuals. Therefore, the aim of this study was to investigate the relationship between PA, body image, and eating disorders (EDs) during the COVID-19 pandemic among high school girls in Farsan, Iran. Methods: This was a descriptive-analytical cross-sectional study, and the research population included female high school students from Farsan, Iran, who were studying in 2019-2020. In this regard, 535 high school girls (age: 15. 95 ± 1. 42, weight: 53. 07 ± 10. 01, BMI: 20. 14 ± 3. 48) were selected based on cluster-random sampling to participate in the study. Multidimensional Body Self-relation Questionnaire (MBSRQ), Baecke’ s Physical Activity Questionnaire, and the Eating Disorder Diagnostic Scale (EDDS) were used to collect data, and Pearson correlation coefficients were administered to establish statistical relationships. Results: The results indicated significant positive correlations between body image and PA levels (r = 0. 304, P = 0. 001). However, no significant correlations were observed between body image and anorexia nervosa (AN) (r =-0. 035, P = 0. 424), bulimia nervosa (BN) (r =-0. 033, P = 0. 446), and binge ED (r =-0. 041, P = 0. 339). Likewise, no relationships were observed between PA and AN (r = 0. 084, P = 0. 052), BN (r = 0. 073, P = 0. 092), as well as binge ED (r = 0. 071, P = 0. 099). Conclusion: During the COVID-19 pandemic, PA was positively associated with body image but not with EDs. Based on the obtained results, it can be concluded that PA improved body image in adolescent girls during the COVID-19 pandemic.