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Mohammad Amiri,Ahmad Khosravi,Reza Chaman 질병관리본부 2019 Osong Public Health and Research Persptectives Vol.10 No.4
Objectives: Unhealthy lifestyles among young people are seriously related to incapacity and health problems in adulthood. The aim of this study was to determine the importance of a health-promoting lifestyle and its association with self-efficacy and well-being. Methods: In this cross-sectional study, a sample of 500 students from Shahroud University of Medical Sciences (Shahroud, Iran) were randomly selected in 2017. The Persian versions of Health-Promoting Lifestyle Profile, Self-Efficacy Scale, and WHO-5 Well-Being Index were used. Results: Among the participants, 34% of students had an abnormal imaginable well-being, and 68% of students had high self-efficacy. The mean score of a health-promoting lifestyle was 127.47 ± 19.78, which is interpreted as moderate, and the mean score of physical activity was 14.10 ± 4.95, which is poor. There was a significant relationship between well-being, and self-efficacy with health-promoting lifestyle. Age, gender, educational level, place of residence, student employment, self-efficacy, and wellbeing were associated with students’ lifestyles. Conclusion: A health-promoting lifestyle of students in this study was moderate and they did not have an acceptable level of physical activity. The direct effect of well-being, and self-efficacy on lifestyle, revising students’ curriculums to improve their health behaviors, and general health indicators, can all lead to the enhancement of health-promoting lifestyles.
Mohammad Reza Moradi,Iraj Amiri,Mohammad Zare,Hassan Fathizad 대한공간정보학회 2017 Spatial Information Research Vol.25 No.2
In this study, potential habitat of two species, Kermani Calligonum and Lentil Bead Salmaki in Sistan region was determined by using geographic information system and measurements of distance techniques. For intraregional study, five habitants were randomly selected and in every location, 10 soil profiles were dug to a depth of 45 cm and soil samples were taken. According to samples taken in each profile parameters such as EC, texture, pH and organic matter in soil other physical parameters at each site such as altitude, temperature, evaporation, results show that Lentil Bead Salmaki in comparison with Kermani Calligonum is able to grow in soils with high salinity, less organic matter and soils with light texture and also tends to thrive and grow in acid soils. Finally, by combining different layers of information for each species, it was found that from total study area of 653,345 ha, three regions including 45,896 ha (7.02%) were suitable for growing Kermani Calligonum. 29,446 ha (4.5%) of this area belongs to habitat of Kermani Calligonum. Approximately remaining 16,450 acres (2.25% of the total area), is potential habitat and the results also indicated that three areas consisting of 8223 ha (1.25%) is suitable for Lentil Bead Salmaki growth. 1962 ha (0.3%) of this area belongs to Lentil Bead Salmaki habitat and the remaining 7546 ha (0.95%) is the area of potential habitat. The accuracy of determining the habitat (finding location) of the mentioned species is estimated to be over 95%.
Multi-project Time-cost Optimization in Critical Chain with Resource Constraints
Mohammad Javad Taheri Amiri,FarshidReza Haghighi,Ehsan Eshtehardian,Ozeair Abessi 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.10
The simultaneous reduction of the project cost and time has paramount importance in today's competitive world; however, it is necessary to balance the project time and cost because of the reduction asymmetry of the two factors in a project. How to balance the cost and time parameters in managing construction projects is also critical and there have always been some attempts made to provide different approaches to control it. Given the immense importance of considering resource constraints for project scheduling problems, and the proximity of the study conditions to the real world, resource constraints were also included. In a project, project managers need to be aware of resource constraints. As resource constraint scheduling problem is considered NP-hard, the metaheuristic models were developed in this paper in order to obtain results contributing to project managers’ decision-making. For this purpose, a non-dominated sorting genetic algorithm method was developed to optimize a time-cost trade-off problem. Furthermore, to solve a multi-project scheduling problem, the critical chain method was used. In order to evaluate the performance of the model, the developed model was first studied in a small scale and then simultaneous projects with 7, 8 and 10 tasks were planned. Because resource availability is essential in such problems, after solving the proposed model, a sensitivity analysis was performed for daily resources and the results were discussed. Results shows the ability of the proposed model and methodology to optimize the time-cost tradeoff considering resource constraints in sample problems. Solutions obtained showed that in some cases of scheduling without this algorithm, resource consumption exceeded above resource availability. After solving the model by proposed algorithm, resource allocation is implemented considering resource constraint. This model determined these resources as crucial and helped managers to control them.
Use of stem cells in bone regeneration in cleft palate patients: review and recommendations
Mohammad Amin Amiri,Fatemeh Lavaee,Hossein Danesteh 대한구강악안면외과학회 2022 대한구강악안면외과학회지 Vol.48 No.2
This study was conducted to review the efficacy of different sources of stem cells in bone regeneration of cleft palate patients. The majority of previous studies focused on the transplantation of bone marrow mesenchymal stem cells. However, other sources of stem cells have also gained considerable attention, and dental stem cells have shown especially favorable outcomes. Additionally, approaches that apply the co-culture and co-transplantation of stem cells have shown promising results. The use of different types of stem cells, based on their accessibility and efficacy in bone regeneration, is a promising method in cleft palate bone regeneration. In this regard, dental stem cells may be an ideal choice due to their efficacy and accessibility. In conclusion, stem cells, despite the lengthy procedures required for culture and preparation, are a suitable alternative to conventional bone grafting techniques.
Mohammad Moqaddasi Amiri,Leili Tapak,Javad Faradmal,Javad Hosseini,Ghodratollah Roshanaei 대한의료정보학회 2020 Healthcare Informatics Research Vol.26 No.2
Objectives: Longitudinal data are prevalent in clinical research; due to their correlated nature, special analysis must be used for this type of data. Creatinine is an important marker in predicting end-stage renal disease, and it is recorded longitudinally. This study compared the prediction performance of linear regression (LR), linear mixed-effects model (LMM), leastsquares support vector regression (LS-SVR), and mixed-effects least-squares support vector regression (MLS-SVR) methods to predict serum creatinine as a longitudinal outcome. Methods: We used a longitudinal dataset of hemodialysis patients in Hamadan city between 2013 and 2016. To evaluate the performance of the methods in serum creatinine prediction, the data was divided into two sets of training and testing samples. Then LR, LMM, LS-SVR, and MLS-SVR were fitted. The prediction performance was assessed and compared in terms of mean squared error (MSE), mean absolute error (MAE), mean absolute prediction error (MAPE), and determination coefficient (R2). Variable importance was calculated using the best model to select the most important predictors. Results: The MLS-SVR outperformed the other methods in terms of the least prediction error; MSE = 1.280, MAE = 0.833, and MAPE = 0.129 for the training set and MSE = 3.275, MAE = 1.319, and MAPE = 0.159 for the testing set. Also, the MLS-SVR had the highest R2, 0.805 and 0.654 for both the training and testing samples, respectively. Blood urea nitrogen was the most important factor in the prediction of creatinine. Conclusions: The MLS-SVR achieved the best serum creatinine prediction performance in comparison to LR, LMM, and LS-SVR.