using cloud computing develops, one of the problems that managers face at the organization level is that the personnel cannot work with these systems, users do not accept these new systems and the problem of accepting these technologies, effective factors in accepting them and the existing barriers in accepting them by users are very important. In many organizations wherein cloud computing has been launched, a time period is required to accept this new system by their personnel. If this time period is less and the personnel can work with these systems earlier, the productivity increases in the organization. The present paper aims the analysis of effective factors on acceptance of cloud computing by personnel working in Birjand International Airport in South Khorasan County (Iran) based on Roger?s diffusion of innovation theory. Examination of effective factors on acceptance of cloud computing in an organization can pave the way for improving its implementation and performance. This research has been done by descriptive survey method and its community includes personnel working in different official and informatics departments of Birjand International Airport. The data gathering instrument was questionnaire and for determining questionnaire validity opinions of masters and for determining consistency Cronbach's alpha has been used. For data analysis descriptive and inferential statistics have been used. The results of present paper indicated that there is meaningful and positive relationship between acceptance features of cloud computing and perception elements of testability, comparative advantage, visibility, complexity, and compatibility of cloud computing with its acceptance rate and there is meaningful and negative relationship between features of perception of not needing cloud computing and its acceptance rate. But there was no meaningful relationship between perception of cloud computing test opportunity and its acceptance rate. As one of the modern ways of providing electronic service has been cloud computing in recent years and it has many benefits for air transportation systems, this paper presents a model for analysis of effective factors in acceptance of cloud computing among personnel of an airline company (airport) and it can be used for examining cloud acceptance in other air companies.

Introduction Sarcopenic obesity is related to changes in body composition, loss of muscle mass, and raised adipose tissue. Beverage patterns are effective with changes in health status. Therefore, the aim of this study was to investigate the association between sarcopenic obesity (SO) and the healthy beverage index (HBI) in women with overweight and obesity. Methods This cross-sectional study conducted on 210 overweight and obese (BMI ≥25 kg/m2) women aged 18–56 years. The measurement of skeletal muscle mass (SMM) and fat mass (FM) done by bioelectric impedance analyzer (BIA) (Inbody Co., Seoul, Korea) based on guidelines. The two lowest quintiles SMM and the two highest quintiles FM and body mass index (BMI) ≥30 are considered sarcopenic obesity in women. A validated and reliable semi-quantitative food-frequency questionnaire (FFQ) was used to evaluate the beverage dietary data. and RFS and NRFS was calculated. Biochemical assessments were quantified by standard approaches, and physical activity were evaluated by international physical activity questionnaire (IPAQ). Result In this cross-sectional study, 210 overweight and obese females took part (18–56) years old). The studies were carried out using binary logistic regression. After controlling for a wide variety of confounding variables such as age, energy intake, physical activity, education, and economic status, we found a negative association between HBI and risk of SO (OR = 0.29, 95% CI = 0.35 to 1.01, P = 0.05). Conclusion We observed that the odds of SO was reduced by 69% in participants with higher HBI score. More well-designed studies need to confirm our findings.

Background: The growth in obesity and rates of abdominal obesity in developing countries is due to the dietary transition. Environmental changes, such as increasing the quality of dietary fat consumed, may be useful in prevent or improvement the obesity or unhealthy obesity phenotype in persons who are genetically predisposed to it, although this is not yet firmly established. Therefore, in the current study, we look at how dietary fat quality indices with metabolically healthy obesity (MHO) or metabolically unhealthy obesity (MUO) based on Karelis criteria interact with genetic predisposition in Iranian female adults. Methods: 279 obese and overweight women participated in the current cross-sectional investigation. Dietary assessment was done using a 147-item food frequency questionnaire (FFQ) and dietary fat quality was assessed by cholesterol-saturated fat index (CSI) and the ratio of omega-6/omega-3 (N6/N3) essential fatty acids. Three single nucleotide polymorphisms—MC4R (rs17782313), CAV-1 (rs3807992), and Cry-1(rs2287161) were genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique and were combined to produce the genetic risk score (GRS). Using a multi-frequency bioelectrical impedance analyzer, body composition was evaluated. The participants were divided into MHO or MUO phenotypes after the metabolic risk was evaluated using Karelis criteria. Results: We found significant interactions between GRS and N6/N3 in adjusted model controlling for confounding factors (age, BMI, energy, and physical activity) (β= 2.26, 95% CI= 0.008–4.52, P= 0.049). In addition, we discovered marginal significant interactions between GRS and N6/N3 in crude (β= 1.92, 95% CI= -0.06–3.91, P= 0.058) and adjusted (age and energy) (β= 2.00, 95% CI= -0.05–4.05, P= 0.057) models on MUH obesity phenotype. However, no significant interactions between GRS and CSI were shown in both crude and adjusted models. Conclusion: This study highlights the importance of personalized nutrition and recommends further study of widely varying fat intake based on the findings on gene-N6/N3 PUFA interactions.

Introduction: Diabetes is a common metabolic disease, which leads to diabetic peripheral neuropathy. Peripheral neuron damage result in Nav1.3 elevations. Exercise training has beneficial role in diabetes management and peripheral neuropathy. Alpha lipoic acid (ALA) is a powerful biological antioxidant. However, the role of exercise training and ALA on Nav1.3 are not well understood. The aim of the present study was to investigate the effect of training with different intensity and Alpha lipoic acid supplement on soleus muscle Nav1.3 protein in rats with type 2 diabetes. Thirty-five male Wistar rats were randomly divided into seven groups: healthy control, diabetic, complementary diabetic, intensive exercise diabetic, moderate exercise diabetic, intensive exercise + supplemental diabetic, moderate exercise + complementary diabetic. Methods: In this experimental study, 35 male Wistar rats were randomly divided into seven groups: healthy control, diabetic (D), complementary (alpha lipoic acid) diabetic (ALA), diabetic high intensity training (HIT), diabetic moderate intensity training (MIT), diabetes HIT+ALA (ALA + HIT), diabetic MIT + ALA (ALA + MIT). Rats were diabetic by intra-peritoneal injection of STZ. The HIT and MIT protocols were performed five days a week for six weeks. HIIT included 10 bouts of four minutes (running at 85–90% of maximum speed) and MIT 13 bouts of four minutes (running at 65–70% of maximum speed). ALA was administered orally 20 mg/kg once a day by gavage. Nav1.3 protein levels were measured by immunohistochemistry method. Statistical operations were performed with SPSS version 16 software. One-way analysis of variance and Tukey were used to analyze the data. Results: The level of Nav1.3 increased significantly in diabetic group compared to the control (p≤0.0001). Moreover, HIT (p=0.0015), MIT p=0.0056), ALA+HIT (p≤0.0001) and ALA+MIT (p≤0.0001) decreased significantly Nav1.3 compared to the diabetic group. Conclusion: HIT and MIT can reduce the expression of NaV1.3 in soleus muscle in diabetic rats. ALA combined with exercise training can be more effective to reduce diabetic neuropathy.

Background & aims Mental disorders are associated with dietary fatty acids and genome-wide association studies have found multiple risk loci robustly related to depression, anxiety, and stress. The aim of this study is to investigate the interaction of genetic risk score (GRS) and dietary fat quality indices on mental health. Methods This cross-sectional study included 279 overweight and obese women for N6/N3 ratio and 378 overweight and obese women for CSI aged 18–68 years. Using reliable and verified standard protocols, body composition, anthropometric indices, blood pressure, physical activity, and dietary fat quality were measured. Serum samples were used to determine biochemical tests. A genetic risk score (GRS) was calculated using the risk alleles of the three SNPs. A generalized linear model (GLM) was applied to assess the interactions between GRS and fat quality indices. Mental health was evaluated using Depression Anxiety Stress Scales (DASS-21). Results The mean (± SD) age and BMI of our participants were 36.48 (8.45) and 30.73 (3.72) kg/m2 respectively. There was a marginally significant mean difference among tertiles of the CSI in terms of stress (P = 0.051), DASS-21 (P = 0.078) in the crude model. After adjusting for age, energy intake, physical activity and BMI in model 1, there was a positive interaction between GRS and T3 of N6/N3 ratio on anxiety (β = 0.91, CI = 0.08,1.75, P = 0.031), depression (β = 1.05, CI = 0.06,2.04, P = 0.037), DASS-21 (β = 2.22, CI= -0.31,4.75, P = 0.086). Conclusion Our findings indicate that higher ratio of N-6 to N-3 considering genetics were predictive of mental disorder in our population.