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The effect of magnesium supplementation on anthropometric indices: A systematic review and dose-response meta-analysis of clinical trials
, Article British Journal of Nutrition ; 2020 ; Ghavami, A ; Rashidian, A ; Hadi, A ; Askari, G ; Sharif University of Technology
Cambridge University Press
2020
Abstract
The aim of this study is to determine the determine effects of magnesium supplementation on anthropometric indices Consist of body weight (BW), waist circumference (WC), body mass index (BMI) and body fat percentage (BF%). In this systematic review and dose-response meta-analysis, we searched PubMed, Cochrane Library, Scopus, Web of Science and Google Scholar from databases inception up February 2020 for relevant randomized controlled trials. Quality of evidence was evaluated using the Cochrane Collaboration Tool. All of outcome in this meta-analysis were pooled using Random Effect Model. Analysis of dose-response for magnesium dosage was carried out using a fractional polynomial model. The...
The effect of magnesium supplementation on anthropometric indices: A systematic review and dose-response meta-analysis of clinical trials
, Article British Journal of Nutrition ; Volume 125, Issue 6 , 2021 , Pages 644-656 ; 00071145 (ISSN) ; Ghavami, A ; Rashidian, A ; Hadi, A ; Askari, G ; Sharif University of Technology
Cambridge University Press
2021
Abstract
Abstract The aim of this study was to determine the effects of Mg supplementation on anthropometric indices consisting of body weight, waist circumference (WC), BMI and body fat percentage. In this systematic review and dose-response meta-analysis, we searched PubMed, Cochrane Library, Scopus, Web of Science and Google Scholar from databases inception up to February 2020 for relevant randomised controlled trials. Quality of evidence was evaluated using the Cochrane Collaboration Tool. All the outcomes of this meta-analysis were pooled using the random effect model. Analysis of dose-response for Mg dosage was carried out using a fractional polynomial model. The systematic review and...
Optimizing investment of pumped hydro storage system for renewable energy future
, Article Journal of Optimization in Industrial Engineering ; Volume 16, Issue 1 , 2023 , Pages 167-184 ; 22519904 (ISSN) ; Bagherinejad, J ; Rafiee, M ; Suratgar, A. A ; Sharif University of Technology
Qazvin Islamic Azad University
2023
Abstract
Renewable energies are increasingly being considered for use in electricity networks. The hig h variability of consumption, and the instability of renewable energies, necessitate the use of energy storage systems. The problem of optimizing investment for an energy storage system is formulated here. The proposed model, in particular, ddetermines the optimal size of the energy storage system based on maximizing social welfare. The problem is formulate d as a mixed-integer linear programming (MILP), and an equivalent mixed complementary problem (MCP) to solve a quadratic system of nonlinear equations. Due to its high efficiency, the Benders decomposition technique is used to solve the proposed...
Topology optimization of wave barriers for mitigation of vertical component of seismic ground motions
, Article Journal of Earthquake Engineering ; 2017 , Pages 1-25 ; 13632469 (ISSN) ; Rezaie, A ; Rafiee Dehkharghani, R ; Sharif University of Technology
2017
Abstract
Vertical vibration of structures due to strong near-field earthquakes could culminate in catastrophic consequences. In this article, the optimum patterns of two types of wave barriers with different geometry configurations, buried in the soil domain, are obtained in order to reduce the vertical acceleration of the top of a circular foundation placed on the soil surface. In order to look into the influence of various soil deposits, six soil deposits with diverse material properties and bedrock depths are examined. The topology optimization procedure for finding the optimum position of the wave barriers has been conducted using coupled finite element-genetic algorithm methodology. First, the...
Topology optimization of wave barriers for mitigation of vertical component of seismic ground motions
, Article Journal of Earthquake Engineering ; Volume 24, Issue 1 , 2020 , Pages 84-108 ; Rezaie, A ; Rafiee Dehkharghani, R ; Sharif University of Technology
Taylor and Francis Ltd
2020
Abstract
Vertical vibration of structures due to strong near-field earthquakes could culminate in catastrophic consequences. In this article, the optimum patterns of two types of wave barriers with different geometry configurations, buried in the soil domain, are obtained in order to reduce the vertical acceleration of the top of a circular foundation placed on the soil surface. In order to look into the influence of various soil deposits, six soil deposits with diverse material properties and bedrock depths are examined. The topology optimization procedure for finding the optimum position of the wave barriers has been conducted using coupled finite element-genetic algorithm methodology. First, the...
A robust optimization approach for a cellular manufacturing system considering skill-leveled operators and multi-functional machines
, Article Applied Mathematical Modelling ; Volume 107 , 2022 , Pages 379-397 ; 0307904X (ISSN) ; Kayvanfar, V ; Mohammadi, A ; Werner, F ; Sharif University of Technology
Elsevier Inc
2022
Abstract
One of the most critical issues in manufacturing systems is the operator management. In this paper, the operator assignment problem is studied within a cellular manufacturing system. The most important novelty of this research is the consideration of operator learning and forgetting effects simultaneously. The skill level of an operator can be increased/decreased based on the time spent on a machine. Moreover, the issues related to operators like hiring, firing, and salaries are considered in the proposed model. The parameters are considered to be uncertain in this model, and a robust optimization approach is developed to handle it. Using this approach, the model solution remains feasible...
Genetic variations of vitamin D receptor and vitamin D supplementation interaction in relation to serum vitamin D and metabolic traits: A systematic review and meta-analysis
, Article International Journal for Vitamin and Nutrition Research ; Volume 93, Issue 6 , 2023 , Pages 535-558 ; 03009831 (ISSN) ; Rashidian, A ; Abaj, F ; Rafiee, M ; Sharif University of Technology
Hogrefe Verlag GmbH & Co. KG
2023
Abstract
Background: It is now becoming increasingly recognized that the effects of vitamin D supplementation may vary by several factors including vitamin D deficiency status, ethnicity, and/or the presence of genetic variants, which affect individual responses to supplementation. This study investigates the interaction between metabolic traits and circulating 25-hydroxyvitamin-D (25OHD) concentration with 4 polymorphisms of vitamin D receptor (VDR) including BsmI, ApaI, TaqI, FokI, and vitamin D supplementation. Methods: A systematic review and meta-analysis of papers until August 2021 on PubMed, The Cochrane Library, Scopus, Web of Science, Google Scholar, ProQuest, Science Direct, and Embase...
Modelling of generalized newtonian lid-driven cavity flow using an SPH method
, Article ANZIAM Journal ; Volume 49, Issue 3 , 2008 , Pages 411-422 ; 14461811 (ISSN) ; Sharif University of Technology
2008
Abstract
In this paper a smoothed particle hydrodynamics (SPH) method is introduced for simulating two-dimensional incompressible non-Newtonian fluid flows, and the non-Newtonian effects in the flow of a fluid which can be modelled by generalized Newtonian constitutive equations are investigated. Two viscoplastic models including Bingham-plastic and power-law models are considered along with the Newtonian model. The governing equations include the conservation of mass and momentum equations in a pseudo-compressible form. The spatial discretization of these equations is achieved by using the SPH method. The temporal discretization algorithm is a fully explicit two-step predictorcorrector scheme. In...
An adaptive neural network-fuzzy linear regression approach for improved car ownership estimation and forecasting in complex and uncertain environments: The case of Iran
, Article Transportation Planning and Technology ; Volume 35, Issue 2 , 2012 , Pages 221-240 ; 03081060 (ISSN) ; Neshat, N ; Rafiee, K ; Zohrevand, A. M ; Sharif University of Technology
2012
Abstract
This paper applies a novel adaptive approach consisting of Artificial Neural Network (ANN) and Fuzzy Linear Regression (FLR) to improve car ownership forecasting in complex, ambiguous, and uncertain environments. This integrated approach is applied to forecast car ownership in Iran from 1930 to 2007. In this study, the level of car ownership is viewed as the result of demographic, politico-social, and urban structure factors including average family size, total population density, urban population density, urbanization rate, gross national product per capita, gasoline price, and total road length. To capture the potential complexity, uncertainty, and linearity relation between the car...
Preparation and characterization of raloxifene nanoparticles using Rapid Expansion of Supercritical Solution (RESS)
, Article Journal of Supercritical Fluids ; Volume 63 , 2012 , Pages 169-179 ; 08968446 (ISSN) ; Karimi Sabet, J ; Fattahi, A ; Golzary, A ; Rafiee Tehrani, M ; Dorkoosh, F. A ; Sharif University of Technology
2012
Abstract
One of the key factors in drug's efficacy is the value of their bioavailability that increases by the reduction of particle size through improvement of dissolution rate. In this study, raloxifene particle size was reduced by Rapid Expansion of Supercritical Solution (RESS). The effect of extraction temperature (40-80 °C), extraction pressure (10-18 MPa) and spray distance (5-10 cm) were investigated on size and particle size distribution of the nanoparticles. Particles were characterized using X-ray diffraction (XRD), Fourier Transform Infrared Analysis (FTIR), Differential Scanning Calorimetry (DSC), Scanning Electron Microscopy (SEM) and Dynamic Light Scattering (DLS). The average size of...
A scenario tree approach to multi-period project selection problem using real-option valuation method
, Article International Journal of Advanced Manufacturing Technology ; Volume 56, Issue 1-4 , 2011 , Pages 411-420 ; 02683768 (ISSN) ; Kianfar, F ; Sharif University of Technology
2011
Abstract
Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Multi-period project portfolio selection problems can be modeled by multistage stochastic programs. These models utilize a set of scenarios and corresponding probabilities to model the multivariate random data process (costs or revenues, available budget, chance of success). For most practical problems, the optimization problem that contains all possible scenarios is too large. Due to computational complexity, this program is often approximated by a model involving a (much) smaller number of scenarios. The scenario reduction algorithms determine a subset of the initial scenario set and...
Security of multi-adjustable join schemes: separations and implications
, Article IEEE Transactions on Dependable and Secure Computing ; 2021 ; 15455971 (ISSN) ; Khazaei, S ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
Database management systems (DBMS) are one of cloud services with major applications in industry and business. In the use of such services, since the cloud service provider cannot be entrusted with the plain data, the databases are typically encrypted prior to outsourcing. One of the most challenging issues in designing these services is supporting SQL join queries on the encrypted database. The multi-adjustable join scheme (M-Adjoin) [Khazaei-Rafiee 2020], an extension of Adjoin [Popa-Zeldovich 2012 and Mironov-Segev-Shahaf 2017], is a symmetric-key primitive that supports the join queries for a list of column labels on an encrypted database. In previous works, the following security...
Private set operations over encrypted cloud dataset and applications
, Article Computer Journal ; Volume 64, Issue 8 , 2021 , Pages 1145-1162 ; 00104620 (ISSN) ; Khazaei, S ; Sharif University of Technology
Oxford University Press
2021
Abstract
We introduce the notion of private set operations (PSO) as a symmetric-key primitive in the cloud scenario, where a client securely outsources his dataset to a cloud service provider and later privately issues queries in the form of common set operations. We define a syntax and security notion for PSO and propose a general construction that satisfies it. There are two main ingredients to our PSO scheme: an adjustable join (Adjoin) scheme (MIT-CSAIL-TR-2012-006 (2012) Cryptographic treatment of CryptDB's adjustable join. http://people.csail.mit.edu/nickolai/papers/popa-join-tr.pdf) and a tuple set (TSet) scheme (Cash, D., Jarecki, S., Jutla, C. S., Krawczyk, H., Rosu, M.-C., and Steiner, M....
Security of multi-adjustable join schemes: separations and implications
, Article IEEE Transactions on Dependable and Secure Computing ; Volume 19, Issue 4 , 2022 , Pages 2535-2545 ; 15455971 (ISSN) ; Khazaei, S ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
Database management systems (DBMS) are one of cloud services with major applications in industry and business. In the use of such services, since the cloud service provider cannot be entrusted with the plain data, the databases are typically encrypted prior to outsourcing. One of the most challenging issues in designing these services is supporting SQL join queries on the encrypted database. The multi-adjustable join scheme (M-Adjoin) [Khazaei-Rafiee 2020], an extension of Adjoin [Popa-Zeldovich 2012 and Mironov-Segev-Shahaf 2017], is a symmetric-key primitive that supports the join queries for a list of column labels on an encrypted database. In previous works, the following security...
Multi-period Project Portfolio Selection and Scheduling with Uncertainties
, Ph.D. Dissertation Sharif University of Technology ; Kianfar, Farhad (Supervisor)
Abstract
In this thesis, a multi-stage project portfolio selection and scheduling problem in an uncertain environment is modeled, analyzed and solved. Moreover, we investigate the situations in which a project manager is confronted to a large number of projects to be selected and scheduled while the required resources of the projects are limited and renewable. The aim is to maximize objective function which is the net present value of the profit of the projects. To solve the mentioned problem, we introduce a multi-stage stochastic programming. For the reason that, in real problems, optimization problems that included all restraints are large scale and have computational complexity, these problems are...
The Application of Profile Monitoring in Healthcare for Disease Monitoring- case Study
, M.Sc. Thesis Sharif University of Technology ; Rafiee, Majid (Supervisor)
Abstract
Profile Monitoring is a new research topics in the field of statistical process control. In many applications of statistical quality control, sometimes quality of a process or product described by a relationship between a response variable and one or more independent variables.The researchers call this relationship profile. The study seeks to demonstrate that monitoring profiles In addition, the industry can be effective in medical field and improves control of the patient's condition by a doctor. Profiles are usually modeled with a linear regression equation, non-linear or polynomial. finally, the results of this study, using actual data, models and methods to predict and control...
Optimization of Radiotherapy Plan under Uncertainty
, M.Sc. Thesis Sharif University of Technology ; Rafiee, Majid (Supervisor)
Abstract
As a method of cancer treatment or improvement of cancer-related complications, external radiation therapy is prescribed by physicians, in case of detection of a tumor in a region of patient’s body. Over time, various techniques have been developed for external beam radiation therapy. Among which, Intensity Modulated Radiation Therapy (IMRT), due to its ability to adjust the intensity of radiation beams, has a higher capacity to generate appropriate dose distribution based on tumor size and volume and it is one of the most widely used techniques in cancer treatment centers.The core process in treatment planning is using appropriate computer algorithms which results in posing enough damage to...
Location and Relocation of Ambulances under Uncertainty Conditions
, M.Sc. Thesis Sharif University of Technology ; Rafiee, Majid (Supervisor)
Abstract
The aim of Emergency Medical Services (EMS) is to provide fast medical care and to transport patients to hospitals at the earliest possible time, so as to reduce injury and fatality rate. Healthcare managers try to improve healthcare systems by reducing the response time to demands. In this thesis, we present mathematical models for the problem of location and relocation of emergency vehicles after the end of their service time or after they have returned to a hospital. We believe that implementing these models can help managers improve the performance of emergency medical services. In the first part of this study, we present a two-level deterministic optimization model considering demand...
Transplant Process Optimization in Kidney Donation Problem
, M.Sc. Thesis Sharif University of Technology ; Rafiee, Majid (Supervisor)
Abstract
At the present, End-stage renal disease(ESRD) is the ninth-leading cause of death in the USA.according methods of medical treatment for End-stage renal disease (ESRD), transplantation is the most viable renal replacement therapy for ESRD patients, there is a disparity between the demand for kidneys for transplantion and the supply. Incompatible inblood-type and antigen matching between patient-donor pairs is cause of shortage in disparity between the demand and the supply.paired kidney exchange of kidney among incompatible patient-donor pairs.PKE can be solve many difficulties in matching patient with incompatible donors. Kidney transplant surgeries in PKE must take place simultaneously...
Proposing a Solution Algorithm for Operating Room Scheduling Problem Using Open Scheduling and Elective Patient Strategy
, M.Sc. Thesis Sharif University of Technology ; Rafiee, Majid (Supervisor)
Abstract
Operating rooms have always been the most expensive and also the most profitable section in hospitals which include approximately one third of cost and two third of income. The management always wants to decrease the cost of hospitals. On the other hand, usually this goal stands against other goals such as patient’s satisfaction. So the manager should make a balance between these goals. In this research, we will propose an integer programming model for operating room scheduling problem without uncertainty for elective patients. In order to make the model more realistic, we want to make connection between operating room theatre and intensive care units. Also, we will consider desirable...