181 research outputs found

    Artificial intelligence-based material discovery for clean energy future

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    Artificial intelligence (AI)-assisted materials design and discovery methods can come to the aid of global concerns for introducing new efficient materials in different applications. Also, a sustainable clean future requires a transition to a low-carbon economy that is material-intensive. AI-assisted methods advent as inexpensive and accelerated methods in the design of new materials for clean energies. Herein, the emerging research area of AI-assisted material discovery with a focus on developing clean energies is discussed. The applications, advantages, and challenges of using AI in material discovery are discussed and the future perspective of using AI in clean energy is studied. This perspective paves the way for a better understanding of the future of AI applications in clean energies

    Nutritional knowledge, family income, and blood sugar level among diabetic patients

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    Nutritional literacy related to diabetes control can play an important role in glycemic control and the reduction of complications of type 2 diabetes. This study aimed to investigate the relationship between nutritional knowledge and hemoglobin A1C (HbA1c). In this study, nutritional literacy and its components (food portion, nutritional content, healthier food choice, and food label reading skill) were evaluated by a valid and reliable questionnaire designed in Singapore for the evaluation of diabetes-related nutrition knowledge. Furthermore, family income, level of education, type of ethnicity, having a smartphone, as well as access to social media of 64 type 2 diabetic patients were assessed. Pearson’s Correlation coefficient between HbA1c and total nutritional knowledge score was calculated at -0.58, which was significant (p<0.001). Participants scored 48%, 55%, 51%, 52%, and 52% of total score for food portion and sizes, nutrition content of food, healthier food choices and safety, food label reading, and overall, respectively. After controlling for possible confounding, regression model results suggested nutritional knowledge and family income were two potential predictors of HbA1c. Improving nutrition and media literacy may help reduce blood sugar levels and treatment costs

    Seroprevalence of and Risk Factors for Toxoplasma gondii among Pregnant Women in Abyek Township of Qazvin Province , Iran (2013)

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     Objective: Toxoplasmosis is an important disease which is caused by the coccidian parasite Toxoplasma gondii. The aim of this study was to determineseroprevalence of and risk factors for T. gondii among pregnant women in Abyek township of Qazvin province by enzyme-linked immunosorbentassay method.Methods: Blood samples were taken from 200 pregnant women referred to the health centers of Abyek township. Immunoglobulin M (IgM)and IgGtiters and effects of some factors on incidence of the disease were evaluated. The collected data were statistically analyzed with SPSS 17 using Chisquaretest.Results: Anti toxoplasma IgM and IgG were positive in 2% and 29% respectively. Seropositive subjects were more frequently seen in women withage >30 years compared to younger women. No significant relationship was found between the seroprevalence of T. gondii infection and level ofeducation, residence area, history of abortion and gestational age.Conclusion: It was indicative of having a latent infection due to the previous exposure to toxoplasma parasite in this region.Keywords: Toxoplasma gondii, Prevalence, Pregnant women, Enzyme-linked immunosorbent assay, Immunoglobulin M

    Comparison the effect of TRX and traditional resistance training on responses some indices of muscle damage of soccer player

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    The purpose of this study was to compare the effect of two methods of resistance training TRX and traditional resistance on the response of some indicators of muscle damage in soccer players. The present study was a semi-experimental; therefore, 36 participants with mean age of 19/36±1/4 were voluntarily selected and assigned to two groups of TRX and traditional resistance training. The training program for both groups consisted of several joint movements, these movements in 2 sets, with 8 repetitions in to isometric form, and the duration of muscle tension in each movement was 20 seconds. Both groups were evaluated by biochemical, physical and anthropometric measurements in two stages of pre-test and post-test. Data analysis was done using independent sample t-test and paired sample t-test with the significant level of 0.05 (p≤0.05). Serum creatine kinase levels showed a significant increase in traditional resistance training group 54.01% (p=0.001) and in the TRX training group 58.19% (p=0.003). Serum lactate dehydrogenase levels increased significantly as the result of traditional resistance training (p=0.033) while Aspartate aminotransferase did not show any significant changes from pre-test to post-test in the experimental groups. Moreover, the results of the present study showed that there was no significant difference in the changes observed in the indices of muscle damage between a traditional training and TRX training. Therefore, performing TRX or traditional training is not improving muscle injury during training
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