Background & aims: Weight loss after proper diet is one of the main topics in nutrition. This study was designed to evaluate the effects of probiotic and alpha-Lipoic acid (ALA) supplements on the anthropometric indicators and maintenance of weight in overweight individuals. Methods: This study consisted of two phases of weight loss (8 weeks) and weight maintenance (16 weeks). Eighty-eight overweight participants were randomly divided into 4 groups in phase 1: isocaloric diet with probiotic (500 mg), an isocaloric diet with ALA (600 mg) and probiotic, an isocaloric diet with ALA and isocaloric diet with placebo. In phase 2, participants received a normal diet with the mentioned supplements. In the beginning, end of the phase 1, and at the end of phase 2, weight, body mass index (BMI), waist circumference (WC), hip circumference (HC), body fat percentage, and blood pressure (BP) were measured. Also, 10 cc blood samples were taken from subjects to measure C-reactive protein (CRP). Data was analyzed using SPSS software. Results: At the end of the two phases, the differences of changes in the probiotic þ ALA group was significant in weight, WC, and CRP factors when compared to the other groups (P < 0.05). Also, at the end of the study, maintain a reduced weight was significantly higher in the probiotic þ ALA group than in the other groups (P < 0.05). Conclusion: According to findings, probiotics and ALA supplementation with normal diet help to maintain decreased weight after adhering to a weight loss diet. This may be due to the reduction of inflammation. Trial registration: (IRCT20141025019669N10).
In this paper a method for solving optimal distribution network reconfiguration and optimal placement distributed generation (DG) with the objective of reducing power losses and improving voltage profile with the least amount of time using a combination of various techniques is offered. In the proposed method, first, a meta-heuristic algorithm (MHA) is used to solve the problem of optimal DG placement. The search space for using this technique has been reduced to the optimal scale which is why this technique is accurate and quick. After solving optimal DG placement using the abovementioned technique, a binary particular swarm optimization algorithm (BPSO) is presented for solving the network reconfiguration. In fact, by reducing the search space, the speed of the technique for solving the problem is improved. The proposed technique has been implemented with different scenarios on IEEE 33-and 69-node test systems. The comparison of the results with those of other methods indicates the effectiveness of this technique.
This article addresses a digital twin-based real-time analysis (DTRA) to meditate the power system vulnerability whenever cascading failures and blackouts occur for any reason, and thus, to improve the resiliency. In addition to this, a water-power package is proposed to enhance the vulnerable percentage of the system by promptly syringing energy to the grid under line/generator outage contingencies. To this end, in the first place, we will develop a digital twin model along with a cloud platform derived from the Amazon Cloud Service (ACS) into the Amazon Web in order to scrutinize the online vulnerability data arising from the equivalent physical twin in real-time. Indeed, such a DTRA model can help us check the real grid’s behavior and determine how to meet the needs of the energy hub system to prevent blackouts. Additionally, a modified bat-based optimization algorithm is matched to settle the energy between the hub system and the electrical grid in furtherance of real-time analysis. To raise awareness, we will first compile how the hub system interactions can be effective in declining the vulnerability indices, and afterward, we will map out the ACS-based digital twin model on the studied case.
Background and Aim:The purpose of this study was to evaluate the effects of probiotic and alpha-lipoic acid (ALA) supplements, on appetite in overweight people. Materials and Methods:This study included two phases of weight loss (8 weeks) and weight maintenance (16 weeks). Eighty-eight overweight people were randomly divided into 4 groups: Isocaloric diet with probiotic (500mg), isocaloric diet with ALA (600mg) and probiotic, isocaloric diet with ALA and isocaloric diet with placebo groups. In the second phase, the participants received normal diet with the above -mentioned supplements. At the beginning and end of the first phase and at the end of the second phase, weight, body mass index (BMI), waist circumference (WC), hip circumference (HC), body fat percentage, Creactive protein (CRP), and appetite were evalauted. We used SPSS software for statistical analysis. Independent sample t-test and ANOVA were used to compare the alterations in the mean values among the groups. Results: At the end of the first phase, the level of anthropometric changes, inflammatory factor and appetite were significant in the intervention groups, but these changes were higher in the probiotic + ALA group than in the other groups (P <0.05). At the end of the second phase we found significant changes only in the probiotic + ALA group (P<0.05). Conclusion: Addition of probiotic and ALA supplements to the normal diet can be effective in appetite and weight management and also maintainance of weight loss which may be due to decreased inflammation.
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