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Preparation and optimization of ciprofloxacin encapsulated niosomes: A new approach for enhanced antibacterial activity, biofilm inhibition and reduced antibiotic resistance in ciprofloxacin-resistant methicillin-resistance Staphylococcus aureus
, Article Bioorganic Chemistry ; Volume 103 , October , 2020 ; Peirovi, N ; Akbarzadeh, I ; Moghtaderi, M ; Heidari, F ; Yeganeh, F. E ; Noorbazargan, H ; Mirzazadeh, S ; Bakhtiari, R ; Sharif University of Technology
Academic Press Inc
2020
Abstract
Ciprofloxacin is an alternative to vancomycin for treatment of methicillin-resistant Staphylococcus aureus (MRSA) infections. The objective of this study was to optimization of niosomes encapsulated ciprofloxacin and evaluate their antibacterial and anti-biofilm efficacies against ciprofloxacin-resistant methicillin-resistant S. aureus (CR-MRSA) strains. Formulation of niosomes encapsulated ciprofloxacin were optimized by changing the proportions of Tween 60, Span 60, and cholesterol. The optimized ciprofloxacin encapsulated niosomal formulations based on Span 60 and Tween 60 were prepared and characterized using scanning electron microscopy (SEM), transmission electron microscopy (TEM) and...
Pre-planning of intramedullary nailing procedures: A methodology for predicting the position of the distal hole
, Article Medical Engineering and Physics ; Volume 74 , 2019 , Pages 172-179 ; 13504533 (ISSN) ; Farahmand, F ; Behzadipour, S ; Yeganeh, A ; Sharif University of Technology
Elsevier Ltd
2019
Abstract
Inserting the distal locking screws is a challenging step of the intramedullary nailing procedures due to the nail deformation that makes the proximally mounted targeting systems ineffective. A pre-planning methodology is proposed, based on an analytical model of the nail–bone construct, to predict the nail deformation during surgery using orthogonal preoperative radiographs. Each of the femoral shaft and the nail was modeled as a curved tubular Euler–Bernoulli beam. The unknown positions and forces of the nail–bone interaction were found using a systematic trial and error approach, which minimized the total strain energy of the system while satisfying the force and geometrical constraints....
Formulation and characterization of poly (ethylene glycol)-coated core-shell methionine magnetic nanoparticles as a carrier for naproxen delivery: growth inhibition of cancer cells
, Article Cancers ; Volume 14, Issue 7 , 2022 ; 20726694 (ISSN) ; Yeganeh, A. E ; Yousefi, M ; Far, B. F ; Akbarzadeh, I ; Bokov, D. O ; Raahemifar, K ; Soltani, M ; Sharif University of Technology
MDPI
2022
Abstract
An efficient and selective drug delivery vehicle for cancer cells can remarkably improve therapeutic approaches. In this study, we focused on the synthesis and characterization of magnetic Ni1−x Cox Fe2 O4 nanoparticles (NPs) coated with two layers of methionine and polyethylene glycol to increase the loading capacity and lower toxicity to serve as an efficient drug car-rier. Ni1−x Cox Fe2 O4 @Methionine@PEG NPs were synthesized by a reflux method then charac-terized by FTIR, XRD, FESEM, TEM, and VSM. Naproxen was used as a model drug and its loading and release in the vehicles were evaluated. The results for loading efficiency showed 1 mg of Ni1−x Cox Fe2 O4 @Methionine@PEG NPs could load...
Engineered UIO-66 metal-organic framework for delivery of curcumin against breast cancer cells: An in vitro evaluation
, Article Journal of Drug Delivery Science and Technology ; Volume 79 , 2023 ; 17732247 (ISSN) ; Moeinabadi-Bidgoli, K ; Lalami, Z. A ; Bazzazan, S ; Mehrarya, M ; Yeganeh, F. E ; Hejabi, F ; Akbarzadeh, I ; Noorbazargan, H ; Jahanbakhshi, M ; Hossein-khannazer, N ; Mostafavi, E ; Sharif University of Technology
Editions de Sante
2023
Abstract
Curcumin (Cur) is a traditional herb with known anticancer properties against various malignancies such as breast cancer. In this study, a metal-organic framework (MOF) based on UIO-66 with excellent water stability was prepared to deliver Cur into MDA-MB-231 and SKBR3 human breast cancer cell lines. The size of the fabricated UIO-66 ranged from 100 to 150 nm with a spherical shape and triangular base pyramid morphology. Favorable adsorption of Cur on the UIO-66 was approved by Fourier transform infrared spectroscopy (FTIR). The release profile exhibited a slow pH-dependent release of Cur from UIO-66 with significant enhancement in the acidic microenvironment (50, 55, and 70% Cur release...
A patient specific finite element simulation of intramedullary nailing to predict the displacement of the distal locking hole
, Article Medical Engineering and Physics ; Volume 55 , May , 2018 , Pages 34-42 ; 13504533 (ISSN) ; Farahmand, F ; Behzadipour, S ; Yeganeh, A ; Aghighi, M ; Sharif University of Technology
Elsevier Ltd
2018
Abstract
Distal locking is a challenging subtask of intramedullary nailing fracture fixation due to the nail deformation that makes the proximally mounted targeting systems ineffective. A patient specific finite element model was developed, based on the QCT data of a cadaveric femur, to predict the position of the distal hole of the nail postoperatively. The mechanical interactions of femur and nail (of two sizes) during nail insertion was simulated using ABAQUS in two steps of dynamic pushing and static equilibrium, for the intact and distally fractured bone. Experiments were also performed on the same specimen to validate the simulation results. A good agreement was found between the model...
Axial effects investigation in fixed-end circular bars under torsion with a finite deformation model based on logarithmic strain
, Article International Journal of Mechanical Sciences ; Volume 48, Issue 1 , 2006 , Pages 75-84 ; 00207403 (ISSN) ; Naghdabadi, R ; Sharif University of Technology
2006
Abstract
In this paper the torsion problem of a circular bar with fixed ends is solved using a finite deformation constitutive model based on the corotational rates of the logarithmic strain. The logarithmic, Green-Naghdi and Eulerian corotational rates of the logarithmic strain are used in the model. The solution is based on a von Mises type yield function that incorporates isotropic and kinematic hardenings. For the kinematic hardening, a modified Armstrong-Fredrick hardening model with the corotational rate of the logarithmic strain is used. Assuming incompressible behavior, the fixed-end torsion problem is simplified to the simple shear problem. Solving the problem, the stress components are...
Identification and Modeling Of Factors Affecting The Waiting Time of Pedestrians to Cross at Signalized Intersections
, M.Sc. Thesis Sharif University of Technology ; Nasiri, Habibollah (Supervisor)
Abstract
Studies show that Pedestrians are at fault in 59% of the vehicle-pedestrian accidents. The traffic crash statistics show the importance of understanding factors of pedestrian errors. If pedestrians terminate their waiting behavior during the red light period and cross the street, they would put themselves in danger. Pedestrians’ red-light violation is a type of highly dangerous behavior occurring at intersections. A total of 1130 pedestrians approaching the intersections during red light periods were observed from the videotapes data collected at 6 intersections in Tehran, Iran. Pedestrian crossing behaviors are classified into immediate crossing behavior and waiting behavior. A logit model...
The estimation of formation permeability in a carbonate reservoir using an artificial neural network
, Article Petroleum Science and Technology ; Volume 30, Issue 10 , 2012 , Pages 1021-1030 ; 10916466 (ISSN) ; Masihi, M ; Fatholahi, S ; Sharif University of Technology
2012
Abstract
Reservoir permeability is an important parameter that its reliable prediction is necessary for reservoir performance assessment and management. Although many empirical formulas are derived regarding permeability and porosity in sandstone reservoirs, these correlations cannot be accurately depicted in carbonate reservoir for the wells that are not cored and for which there are no welltest data. Therefore, having a framework for estimation of these parameters in reservoirs with neither coring samples nor welltest data is crucial. Rock properties are characterized by using different well logs. However, there is no specific petrophysical log for estimating rock permeability; thus, new methods...
Barrier height and ideality factor dependency on identically produced small Au/p-Si Schottky barrier diodes
, Article Journal of Semiconductors ; Volume 31, Issue 7 , 2010 ; 16744926 (ISSN) ; Rahmatollahpur, S. H ; Sharif University of Technology
2010
Abstract
Small high-quality Au/P-Si Schottky barrier diodes (SBDs) with an extremely low reverse leakage current using wet lithography were produced. Their effective barrier heights (BHs) and ideality factors from current-voltage (I -V) characteristics were measured by a conducting probe atomic force microscope (C-AFM). In spite of the identical preparation of the diodes there was a diode-to-diode variation in ideality factor and barrier height parameters. By extrapolating the plots the built in potential of the Au /p-Si contact was obtained as Vbi D 0:5425 V and the barrier height value φB(C-V) was calculated to be φB(C-V) D 0:7145 V for Au/p-Si. It is found that for the diodes with diameters...
Application of artificial neural network for estimation of formation permeability in an iranian reservoir
, Article 1st International Petroleum Conference and Exhibition, Shiraz, 4 May 2009 through 6 May 2009 ; 2009 ; Masihi, M ; Fatholahi, S ; Sharif University of Technology
European Association of Geoscientists and Engineers, EAGE
2009
Abstract
The permeability is one of the most important reservoir parameters and its accurate prediction is necessary for reservoir management and enhancement. Although many empirical formulas are derived regarding permeability and porosity in sandstone reservoirs [1], these correlations cannot be modified accurately in carbonate reservoir for the wells which are not cored and there is no welltest data. Therefore estimation of these parameters is a challenge in reservoirs with no coring sample and welltest data. One of the most powerful tools to estimate permeability from well logs is Artificial Neural Network (ANN) whose advantages and disadvantages have been discussed by several authors [2]. In this...
Theoretical Study of Organic Pollutants Adsorption on Graphene, Doped Graphene and Defective Graphene Nanosheets
, M.Sc. Thesis Sharif University of Technology ; Rahman Setayesh, Shahrbanou (Supervisor)
Abstract
Among the xenobiotic compounds, chlorophenols are considered to be as the most dangerous compounds for the environment and living organisms. These compounds are abundantly found in the wastewater of many chemical industry factories. In this research, by using Gaussian software and density functional theory at the level of B3LYP / 6-31G (d, p),the adsorption of molecules such as phenol, 2-chlorophenol, 4-chlorophenol and 2,4-dichlorophenol over graphene, nitrogen and boron doped graphene sheet are studied. The most stable configurations were determined and adsorption energies were calculated. In addition, to understand the adsorption mechanism, electron properties such as state density and...
Peak-power-aware Task Replication to Manage Reliability for Multicore Embedded Systems
, M.Sc. Thesis Sharif University of Technology ; Ejlali, Alireza (Supervisor)
Abstract
Multicore platforms prepare a great opportunity to implement fault-tolerance techniques. Task replication is a well-established technique to obtain high reliability against transient faults. However, replicated executions can increase power consumption more than Thermal Design Power (TDP) constraint. TDP is considered as the highest sustainable power that a chip can dissipate before being forced to exploit a performance throttling mechanism, e.g. Dynamic Thermal Management (DTM). If the chip violates its TDP constraint, it automatically restarts or significantly reduces its performance to prevent a permanent damage. Therefore, due to the unwanted system restarts, DTM techniques may not be...
Evalution of Aerosol Optical Depth Modeled by CMAQ
, M.Sc. Thesis Sharif University of Technology ; Arhami, Mhammad (Supervisor)
Abstract
Particuale matters, as a criterion for evaluationg the air quality, have been one of the most important air pollutants through the last decade. Considering the adverse health effects of particulate matters, the importance of monitoring pollutant’s concentration is inevitable. While there are monitoring stations for evaluating the air quality, our knowledge is so limtted since there are few stations working, so there is a spatial and temporal gap. On the other hand, chemical transport models and remote sensing provide us a better chance to track the air quality thoroughly. Since chemical transport models are our only way of filling the gaps, they should be rigorous and accurate. In this study...
The Impact of Water Quality on the Accuracy of Water Depth Estimation Using Remote Sensing
, M.Sc. Thesis Sharif University of Technology ; Danesh Yazdi, Mohammad (Supervisor)
Abstract
Bathymetric maps are used for monitoring water bodies such as lakes, wetlands, and coastal areas, providing valuable information regarding changes in water storage volumes in these environments. For lakes prone to drying and salinity issues, where the lakebed elevation is constantly changing, the importance of these maps becomes even more pronounced as they play a crucial role in monitoring these lakes' conditions and assessing restoration efforts. Various methods exist for generating bathymetric maps, one of which is satellite remote sensing, which is more time- and cost-effective than traditional methods. One of the most common and accessible types of remote sensing data used for...
Joint effect of stalling and presentation quality on the quality-of-experience of streaming videos
, Article Proceedings - International Conference on Image Processing, ICIP ; Volume 2017-September , 2018 , Pages 310-314 ; 15224880 (ISSN); 9781509021758 (ISBN) ; Qassemi, F ; Rabiee, H. R ; The Institute of Electrical and Electronics Engineers Signal Processing Society ; Sharif University of Technology
IEEE Computer Society
2018
Abstract
Over-the-top (OTT) video streaming services have been growing rapidly in the last decade, and thus increasing Quality-of-Experience (QoE) of end users is of great interest in emerging services. Although, numerous subjective studies have been conducted to investigate the impact of video presentation quality and playback interruptions, understanding the interactions between impairment types is still an open problem. In this work, we develop a streaming video dataset that contains compressed videos with different distortion levels as well as playback stalling events. Then, a subjective user study is performed to measure the QoE of these videos. The results of our experiment reveal strong...
The estimation of formation permeability in a carbonate reservoir using an artificial neural network
, Article Petroleum Science and Technology ; Vol. 30, issue. 10 , Apr , 2010 , p. 1021-1030 ; ISSN: 10916466 ; Masihi, M ; Fatholah,i S ; Sharif University of Technology
2010
Abstract
Reservoir permeability is an important parameter that its reliable prediction is necessary for reservoir performance assessment and management. Although many empirical formulas are derived regarding permeability and porosity in sandstone reservoirs, these correlations cannot be accurately depicted in carbonate reservoir for the wells that are not cored and for which there are no welltest data. Therefore, having a framework for estimation of these parameters in reservoirs with neither coring samples nor welltest data is crucial. Rock properties are characterized by using different well logs. However, there is no specific petrophysical log for estimating rock permeability; thus, new methods...
A novel method to find appropriate ε for DBSCAN
, Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 24 March 2010 through 26 March 2010 ; Volume 5990 LNAI, Issue PART 1 , 2010 , Pages 93-102 ; 03029743 (ISSN) ; 3642121446 (ISBN) ; Habibi, J ; Hassas Yeganeh, S ; Sharif University of Technology
2010
Abstract
Clustering is one of the most useful methods of data mining, in which a set of real or abstract objects are categorized into clusters. The DBSCAN clustering method, one of the most famous density based clustering methods, categorizes points in dense areas into same clusters. In DBSCAN a point is said to be dense if the ε-radius circular area around it contains at least MinPts points. To find such dense areas, region queries are fired. Two points are defined as density connected if the distance between them is less than ε and at least one of them is dense. Finally, density connected parts of the data set extracted as clusters. The significant issue of such a method is that its parameters (ε...
ReMap: reliability management of peak-power-aware real-time embedded systems through task replication
, Article IEEE Transactions on Emerging Topics in Computing ; August , 2020 , Pages: 1-1 ; Ansari, M ; Ejlali, A ; Sharif University of Technology
IEEE Computer Society
2020
Abstract
Increasing power densities in future technology nodes is a crucial issue in multicore platforms. As the number of cores increases in them, power budget constraints may prevent powering all cores simultaneously at full performance level. Therefore, chip manufacturers introduce a power budget constraint as Thermal Design Power (TDP) for chips. Meanwhile, multicore platforms are suitable for implementation of fault-tolerance techniques to achieve high reliability. Task Replication is a known technique to tolerate transient faults. However, careless task replication may lead to significant peak power consumption. In this paper, we consider the problem of achieving a given reliability target...
Semantic composability measure for semantic web services
, Article 1st Asia International Conference on Modelling and Simulation - Asia Modelling Symposium 2007, AMS 2007, 27 March 2007 through 30 March 2007 ; 2007 , Pages 88-93 ; 0769528457 (ISBN); 9780769528458 (ISBN) ; Habibi, J ; Yeganeh, S. H ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2007
Abstract
Motivated by the problem of automatically composing network accessible services, such as those on the World Wide Web, this paper proposes an approach to exploit all semantic information available for semantic web services to complete this task. For semantic web services, we propose a prioritized and limited list of other web services, with composability measure value based on feasibility of being succeeding service in a composition to fulfill the request. Due to the fact that in semantic web services, semantic information- all description and signatures- is defined by ontology language, we use some of the mapping rules to estimate a correlation between services for composability. Then we...
ReMap: Reliability management of peak-power-aware real-time embedded systems through task replication
, Article IEEE Transactions on Emerging Topics in Computing ; Volume 10, Issue 1 , 2022 , Pages 312-323 ; 21686750 (ISSN) ; Ansari, M ; Ejlali, A ; Sharif University of Technology
IEEE Computer Society
2022
Abstract
Increasing power densities in future technology nodes is a crucial issue in multicore platforms. As the number of cores increases in them, power budget constraints may prevent powering all cores simultaneously at full performance level. Therefore, chip manufacturers introduce a power budget constraint as Thermal Design Power (TDP) for chips. Meanwhile, multicore platforms are suitable for the implementation of fault-tolerance techniques to achieve high reliability. Task Replication is a well-known technique to tolerate transient faults. However, careless task replication may lead to significant peak power consumption. In this article, we consider the problem of achieving a given reliability...