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The purpose of this paper is to describe a novel method to compromise between planned (regulated) maintenance and outage initiation and unplanned (unregulated) maintenance and to find an economic model using which one can perform maintenance adequately and in the most optimal state.

In this paper, a system consisting of similar components is considered, and the role of each component in the system is explained. Then, the cost pertaining to failure in each asset is determined. Costs such as energy not supplied, penalties, human resources to resolve the defect and replacing assets are taken into account. Finally, a new comprehensive objective is proposed, and optimization is performed for a sample system.

In this paper, some graphs have been plotted from which plenty of information may be extracted. This is mentioned in the Conclusion.

In this paper, some graphs have been plotted from which plenty of information may be extracted. This is mentioned in the Conclusion.

Understanding consumers’ food safety practices are helpful in reducing foodborne illnesses. The purpose of this study is to evaluate the influence of education on knowledge, attitude and practices toward food additives.

This interventional study was performed by random sampling of 826 employees in Isfahan University of Medical Sciences from January 2018 to March 2019. The knowledge, attitude and practices of the employees toward food additives were assessed by a self-administered and structured questionnaire. Two-month education was conducted visually by using pamphlets, posters and leaflets. Descriptive statistics and paired t-test were done by SPSS24 at significant levels of p < 0.05.

The results showed that the respondents were very concerned about preservatives, colorants, and artificial sweeteners in foods. Before the education, the percentages collected for the knowledge, attitude and practice were 79.0, 48.9 and 46.7, respectively. Overall, knowledge scores were improved from 79.0 to 88.9 per cent when the education was offered. Safety attitude scores significantly increased, with a 50 per cent difference between the pre and post values. A significant difference was observed in the percentage of knowledge, attitude and practice of the employers before and after education (p < 0.05). Almost half of the respondents chose leaflets and pamphlets as a preferable tool for learning.

Education may be needed for improving knowledge and attitude about food additives. It also helped the respondents to select healthier food. This study suggests more communication programs regarding food safety issues.

This study aims to investigate patterns of social media posting occurring during the initial post-disaster recovery period. In addition, the study investigates the antecedents of user engagement with Twitter posts or “tweets.”

This study uses Hurricane Harvey as the research focus because of its $125bn in damage and the recovery effort associated with it. Analyzing nearly 38,000 tweets related to 2017’s Hurricane Harvey and specifically focuses on rescuers who became to be known as the “Cajun Navy.”

The popularity of the tweet significantly influences social media engagement; disaster relief organizations first should seek out alliances and partnerships with those who already are well-known or influential in social media. In addition, by regularly monitoring and participating in social media, such as encouraging retweets and mentions even when not responding to a disaster, agencies will gain social media followers and influence when these are most needed.

By analyzing patterns of social media posts during and after Hurricane Harvey, this study attempts to quantify social media’s effectiveness during this disaster, in particular with a focus on what characteristics of Harvey-related Twitter posts most influenced user engagement.

Findings underscore the need for agencies to strengthen their social media presence and use it in all three phases of disaster conceptualization. Beyond managing communication with other agencies and the community, which alone is critical for an agency’s impact, social media offers the world as a potential audience for agencies that can deftly leverage it.

Social media has revolutionized not only communication but also inter-connectivity as people have normalized its use. Its ubiquity and efficiency have seen its incorporation into the critical area of emergency management, both during and after disasters. The main objective of this paper is to investigate and evaluate the usefulness of social media in disaster recovery efforts, focusing on its advantages in relation to a recent disaster event.

The purpose of this paper is to suggest a model for evaluating the best power plants in the presence of weight restrictions.

The paper introduces a model, which is based on slacks‐based model (SBM) (one of the data envelopment analysis (DEA) models).

The paper depicts the power plant evaluation process through a DEA model, while allowing for the incorporation of preferences of decision maker (DM). The chief advantage of the proposed model is that it does not demand exact weights from the DM.

To the best of the author's knowledge, there is not any reference that evaluates power plants by means of SBM in the presence of weight restrictions.

Today, coronavirus disease-19 (COVID-19) treatment is an evolving process, and synbiotic administration has been suggested as a new therapeutic strategy. This study aims to investigate the effect of synbiotic supplementation in COVID-19 patients.

In this placebo-controlled trial, 80 patients were randomized to receive oral synbiotic capsule (containing fructooligosaccharide and seven bacterial strains; Lactobacillus (L) casei, L. rhamnosus, Streptococcus thermophilus, Bifidobacterium breve, L. acidophilus, Bifidobacterium longum, L. bulgaricus, each one 109 colony-forming units) or placebo for two months. Inflammatory markers (Interleukin-6 [IL-6], C-reactive protein [CRP], erythrocyte sedimentation rate [ESR]) and white blood cell (WBC) count were evaluated at two timepoints (baseline, two months later). The measured variables were adjusted for confounders and analyzed by SPSS v21.0.

All 80 enrolled patients completed the study. The study adherence was good (approximately 70%). The mean changes for IL-6 were not significant (Δ = −0.6 ± 10.4 pg/mL vs Δ = +11.2 ± 50.3 pg/mL, p > 0.05). There were no significant improvements for CRP, ESR and WBC.

Administration of synbiotics for two months did not improve inflammatory markers in COVID-19 patients.

Herbal medicine has been used for the management of complications of diabetes. The purpose of this paper is to examine the anti-diabetic effects of Achillea millefolium extract on diabetic rats.

To this aim, 32 male Wistar rats were randomly assigned into four groups in which each group comprised eight rats. The four experimental groups were as follows: control group, diabetic control (DC) group (STZ; 50 mg/kg), diabetic rats, receiving 250 mg/kg hydro-alcoholic extract of the A. millefolium (DAM) and diabetic rats, receiving 5 mg/kg glibenclamide (DG). After 21 days of the treatment course, tissues of the kidney and blood samples were collected for histopathological, biochemical and molecular analysis.

The concentration of malondialdehyde (MDA) and glucose serum were markedly reduced in the DC group while significantly increased in DG and DAM groups (1.11 ± 0.57 to 19.4 ± 3.5 and 17.8 ± 1.2 p = 0.002 and 325 ± 0.18 to 223 ± 0.11 and 211 ± 0.32 p = 0.02, respectively). Also, the activities of glutathione peroxidase (GPx) and superoxide dismutase (SOD) were markedly reduced in the DC group while significantly increased in DAM and DG groups (9.1 ± 2.21 to 18.7 ± 3.81 and 14.9 ± 3.1 p = 0.03 and p = 0.02, respectively). The concentrations of creatinine, blood urea nitrogen (BUN) and urea were substantially decreased in DAM and DG groups as compared with the DC group (0.49 ± 0.02 to 0.27 ± 0.01 and 0.25 ± 0.01 p = 0.01, 15.6 ± 2.1 to 7.2 ± 0.68 and 8.6 ± 1.2 p = 0.02 and 114 ± 9.4 to 59.8 ± 5.2 and 64 ± 5.2 p = 0.03, respectively). Also, Bcl-2-associated X protein (BAX) expression was significantly decreased in DAM and DG groups as compared with the DC group (1.3 ± 0.32 to 0.91 ± 0.03 and 0.93 ± 0.02 p = <0.01) and Bcl-2 expression were significantly increased in DAM and DG groups as compared with the DC group (0.42 ± 0.05 to 0.88 ± 0.07 and 0.85 ± 0.06 p = 0.01).

Diabetes led to degenerative damages in the kidney of rats and increased the mRNA level of Bax, while treatment with A. millefolium could protect the kidney tissue against diabetes complications and increased the mRNA expression of Bcl-2. This study indicated that A. millefolium extracts not only improves renal function as a result of anti-oxidant activity but also modulates some biochemical factors in diabetic rats.

The purpose of this paper is to present a formal verification method to prove the correctness of social customer relationship management (CRM)-based service composition approach. The correctness of the proposed approach is analyzed to evaluate the customer behavioral interactions for discovering, selecting and composing social CRM-based services. In addition, a Kripke structure-based verification method is presented for verifying the behavioral models of the proposed approach.

Evaluating the customer behavioral interactions using the social CRM-based service composition approach is an important issue. In addition, formal verification has an important role in assessing the social CRM-based service composition. However, model checking can be efficient as a verification method to evaluate the functional properties of the social CRM-based service composition approach.

The results of model checking satisfied the logical problems in the proposed behavior model analysis. In the statistical testing, the proposed URM mechanism supported the four knowledge creation process conditions. It was also shown that the percentage of state reachability in the URM with KCP conditions is higher than the URM mechanism without supporting KCP conditions.

The comparison of time and memory consumption of the model checking method shows that the social CRM-based service composition approach covers knowledge process features, which makes it an efficient method.