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Vibrational analysis of Ag, Cu and Ni nanobeams using a hybrid continuum-atomistic model
, Article International Journal of Mechanical Sciences ; Volume 165 , 2020 ; Azizi, B ; Nejat Pishkenari, H ; Sharif University of Technology
Elsevier Ltd
2020
Abstract
An important issue in the study of the nanostructures behaviors is the surface effects, which increases with the increase of the surface-to-volume ratio. Continuum theories are capable of modeling structures at micro and larger scales with enough precision and low computational costs. However, these theories are unable to predict the mechanical properties of nanostructures accurately. On the other hand, due to their high precision, atomistic modeling techniques are extensively employed for the study of systems at nanoscale; however, computational costs of these techniques are relatively high. In this research, we aim to study the vibrational behavior of nanobeams made of three FCC metals;...
Time-Cost efficient scheduling algorithms for executing workflow in infrastructure as a service clouds
, Article Wireless Personal Communications ; Volume 103, Issue 3 , 2018 , Pages 2035-2070 ; 09296212 (ISSN) ; Movaghar, A ; Mohsenzadeh, M ; Sharif University of Technology
Springer New York LLC
2018
Abstract
Cloud Computing enables delivery of IT resources over the Internet and follows the pay-as-you-go billing model. The cloud infrastructures can be used as an appropriate environment for executing of workflow applications. To execute workflow applications in this environment, it is necessary to develop the workflow scheduling algorithms that consider different QoS parameters such as execution time and cost. Therefore, in this paper we focus on two criteria: total completion time (makespan) and execution cost of workflow, and propose two heuristic algorithms: MTDC (Minimum Time and Decreased Cost) which aims to create a schedule that minimizes the makespan and decreases execution cost, and CTDC...
A budget constrained scheduling algorithm for executing workflow application in infrastructure as a service clouds
, Article Peer-to-Peer Networking and Applications ; 2018 , Pages 1-28 ; 19366442 (ISSN) ; Movaghar, A ; Mohsenzadeh, M ; Sharif University of Technology
Springer New York LLC
2018
Abstract
Cloud computing technology, which is a new model of service provisioning in distributed systems, has been raised as a way to execute workflow applications. To profit from this technology for executing workflow applications, it is necessary to develop workflow scheduling algorithms that consider different QoS parameters such as execution time and cost. Therefore, in this paper, we focus on two criteria: makespan (completion time) and execution cost of workflow application and propose a scheduling algorithm named CB-DT (Constrained Budget-Decreased Time) which aims to create a schedule that decreases the makespan while satisfying the budget constraint of the workflow application. In the...
A budget constrained scheduling algorithm for executing workflow application in infrastructure as a service clouds
, Article Peer-to-Peer Networking and Applications ; Volume 12, Issue 1 , 2019 , Pages 241-268 ; 19366442 (ISSN) ; Movaghar, A ; Mohsenzadeh, M ; Sharif University of Technology
Springer New York LLC
2019
Abstract
Cloud computing technology, which is a new model of service provisioning in distributed systems, has been raised as a way to execute workflow applications. To profit from this technology for executing workflow applications, it is necessary to develop workflow scheduling algorithms that consider different QoS parameters such as execution time and cost. Therefore, in this paper, we focus on two criteria: makespan (completion time) and execution cost of workflow application and propose a scheduling algorithm named CB-DT (Constrained Budget-Decreased Time) which aims to create a schedule that decreases the makespan while satisfying the budget constraint of the workflow application. In the...
Comparison models evaluating countermeasures at Highway-Railway Grade Crossings
, Article ICTIS 2013: Improving Multimodal Transportation Systems - Information, Safety, and Integration - Proceedings of the 2nd International Conference on Transportation Information and Safety ; 2013 , Pages 1934-1945 ; 9780784413036 (ISBN) ; Bagheri, M ; Sharif University of Technology
2013
Abstract
This paper reviews the literature concerning the effectiveness of countermeasures at Highway-Railway Grade Crossings (HRGC). HRGC are considered as the hotspots in railway transportation systems. So far, there has been significant discussion about different types of countermeasure to mitigate the risk of accidents at HRGC. Different approaches have been developed about the effectiveness of the countermeasures including the Before-After and Cross-Sectional. This paper compares all different studies to evaluate the effectiveness of countermeasure in reduction of accident frequency and severity
Topics in Measurability and Integrability in Constructive Analysis
, Ph.D. Dissertation Sharif University of Technology ; Ardeshir, Mohammad (Supervisor)
Abstract
In this thesis, we investigate constructive measure theory in two schools of constructivism; intuitionistic mathematics and Bishop’s constructive mathematics.In this regard, first, we examine some classical propositions on measurability in both schools. Then we give a comparison between measurability in the two schools
An Efficient Network for Real-Time Semantic Segmentation
, M.Sc. Thesis Sharif University of Technology ; Kasaei, Shohreh (Supervisor)
Abstract
In real-time semantic segmentation, images are divided into predefined semantic regions at a speed exceeding 30 frames per second, and each point of the image is labeled with a category. The output of this fundamental task is to produce a representation that is comprehensible to computers for further processing in applications such as autonomous vehicles, robotics, and augmented reality. This task pursues two conflicting goals: improving the accuracy of segmentation and increasing its speed. Previous research has enhanced segmentation speed using lightweight and multi-branch structures and improved accuracy using attention mechanisms. Depth map alongside color image can lead to better...
Web service quality of service prediction via regional reputation-based matrix factorization
, Article Concurrency and Computation: Practice and Experience ; Volume 33, Issue 17 , 2021 ; 15320626 (ISSN) ; Hashemi, S. M ; Razzazi, M. R ; Movaghar, A ; Sharif University of Technology
John Wiley and Sons Ltd
2021
Abstract
Quality of Service (QoS) of Web services plays an essential role in selecting Web services by consumers. The dynamic QoS attributes of Web services have different values for different users. Therefore, the value of many Web services' QoS features for many users are undetermined, and these values should be predicted. The collaborative filtering (CF) method is one of the most successful approaches to predict these values. CF-based methods use the QoS values contributed by the other users for prediction and, consequently, the values contributed by unreliable users can decrease the accuracy of prediction. To utilize the reputation of users can be regarded as one of the conventional approaches to...
Expression of PIAS genes in migraine patients
, Article Journal of Molecular Neuroscience ; Volume 71, Issue 10 , 2021 , Pages 2053-2059 ; 08958696 (ISSN) ; Hesami, O ; Nazer, N ; Sayad, A ; Taheri, M ; Sharif University of Technology
Humana Press Inc
2021
Abstract
Migraine is a complex disabling condition which is associated with dysregulation of several pathways particularly those being associated with immune responses. In order to assess contribution of protein inhibitor of activated STAT (PIAS) in the pathogenesis of migraine, we quantified expression levels of PIAS1–PIAS4 genes in the circulation of patients with migraine compared with controls. Expression of PIAS1 was substantially lower in total migraineurs compared with controls (ratio of mean expressions (RME) = 0.18, SE = 0.29, P value < 0.001) and in both male and female migraineurs compared with sex-matched controls. Expression of PIAS2 was lower in migraineurs without aura compared with...
Application of artificial neural network for prediction of risk of multiple sclerosis based on single nucleotide polymorphism genotypes
, Article Journal of Molecular Neuroscience ; Volume 70, Issue 7 , 2020 , Pages 1081-1087 ; Taheri, M ; Omrani, M. D ; Daaee, A ; Mohammad Rahimi, H ; Sharif University of Technology
Humana Press Inc
2020
Abstract
The artificial neural network (ANN) is a sort of machine learning method which has been used in determination of risk of human disorders. In the current investigation, we have created an ANN and trained it based on the genetic data of 401 multiple sclerosis (MS) patients and 390 healthy subjects. Single nucleotide polymorphisms (SNPs) within ANRIL (rs1333045, rs1333048, rs4977574 and rs10757278), EVI5 (rs6680578, rs10735781 and rs11810217), ACE (rs4359 and rs1799752), MALAT1 (rs619586 and rs3200401), GAS5 (rs2067079 and rs6790), H19 (rs2839698 and rs217727), NINJ2 (rs11833579 and rs3809263), GRM7 (rs6782011 and rs779867), VLA4 (rs1143676), CBLB (rs12487066) and VEGFA (rs3025039 and...
Simulation and Implementation of Active Energy Management Algorithm on Residential Photovoltaic System with Storage
, M.Sc. Thesis Sharif University of Technology ; Abbaspour, Ali (Supervisor)
Abstract
In majority of the (standalone or grid-connected) PV Systems, predefined rule-based algorithms are utilized in order to manage and control the flow of power. The function of these algorithms is to send the generated energy from solar panels either to load for consumption, or to battery for storage, or to the grid for sale. Their performance is based on predefined instructions and regardless of load change and consumption patterns. Therefore the total efficiency of these systems depend greately upon individual user’s load type and consumption pattern. In current research, an optimum and dynamic energy management algorithm is proposed using dynamic programming (DP) method, in order to increase...
Power system stability improvement using self-tuning fuzzy logic controlled STATCOM
, Article EUROCON 2007 - The International Conference on Computer as a Tool, Warsaw, 9 September 2007 through 12 September 2007 ; December , 2007 , Pages 1444-1449 ; 142440813X (ISBN); 9781424408139 (ISBN) ; Zolghadri, M. R ; Ehsan, M ; Sharif University of Technology
2007
Abstract
This paper presents the application of a fuzzy logic controlled Static Compensator (STATCOM) to improve stability of power system. The nonlinear fuzzy logic controller is used to overcome the problems generated by different uncertainties exist in power systems. Different input variables are used to design the controller. Parameters of the proposed controller are adjusted by means of Neural Network techniques to improve performance of the system. Proposed controller is implemented on a single machine infinite bus system to confirm the performance of the controller through simulation results
Expression analysis of protein inhibitor of activated stat in inflammatory demyelinating polyradiculoneuropathy
, Article Frontiers in Immunology ; Volume 12 , 2021 ; 16643224 (ISSN) ; Hussen, B. M ; Nicknafs, F ; Nazer, N ; Sayad, A ; Taheri, M ; Sharif University of Technology
Frontiers Media S.A
2021
Abstract
Protein inhibitors of activated STAT (PIAS) are involved in the regulation of the JAK/STAT signaling pathway and have interactions with NF-κB, p73 and p53. These proteins regulate immune responses; therefore dysregulation in their expression leads to several immune-mediated disorders. In the present study, we examined expression of PIAS1-4 in peripheral blood of patients with acute/chronic inflammatory demyelinating polyradiculoneuropathy (AIDP/CIDP) compared with healthy subjects. We demonstrated down-regulation of all PIAS genes in both AIDP and CIDP cases compared with controls. Similarly, comparisons in gender-based groups revealed down-regulation of these gene0s in patients of each...
Dysregulation of lncRNAs in autoimmune neuropathies
, Article Scientific Reports ; Volume 11, Issue 1 , 2021 ; 20452322 (ISSN) ; Taheri, M ; Mehvari Habibabadi, J ; Nazer, N ; Sayad, A ; Ghafouri Fard, S ; Sharif University of Technology
Nature Research
2021
Abstract
Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) and Guillain-Barré syndrome (GBS) are inflammatory neuropathies with different clinical courses but similar underlying mechanisms. Long non-coding RNAs (lncRNAs) might affect pathogenesis of these conditions. In the current project, we have selected HULC, PVT1, MEG3, SPRY4-IT1, LINC-ROR and DSCAM-AS1 lncRNAs to appraise their transcript levels in the circulation of CIDP and GBS cases versus controls. Expression of HULC was higher in CIDP patients compared with healthy persons (Ratio of mean expression (RME) = 7.62, SE = 0.72, P < 0.001). While expression of this lncRNA was not different between female CIDP cases and female...
Author Correction: A novel variant in TLE6 is associated with embryonic developmental arrest (EDA) in familial female infertility (Scientific Reports, (2022), 12, 1, (17664), 10.1038/s41598-022-22687-y)
, Article Scientific Reports ; Volume 12, Issue 1 , 2022 ; 20452322 (ISSN) ; Mohebi, M ; Berjis, K ; Ghahremani, A ; Modarressi, M. H ; Ghafouri Fard, S ; Sharif University of Technology
Nature Research
2022
Abstract
The original version of this Article contained an error in the spelling of the author Mohammad Hossein Modarressi, which was incorrectly given as Mohammad‑Hossein Modarresi. The original Article has been corrected. © 2022, The Author(s)
A novel variant in TLE6 is associated with embryonic developmental arrest (EDA) in familial female infertility
, Article Scientific Reports ; Volume 12, Issue 1 , 2022 ; 20452322 (ISSN) ; Mohebi, M ; Berjis, K ; Ghahremani, A ; Modarresi, M. H ; Ghafouri Fard, S ; Sharif University of Technology
Nature Research
2022
Abstract
This study aims to identify genetic causes of familial female infertility characterized by embryonic developmental arrest (EDA) and repeated implantation failure (RIF) with oocyte donation IVF cycle. We used Whole-exome sequencing and Sanger validation to find causative genes in an Iranian consanguineous family that had 3 infertile daughters, 4 fertile daughters, and 2 fertile sons. All patients in this consanguineous family exhibited typical manifestations of unexplained RIF and EDA. Genetic analysis identified a homozygous missense variant (c.G1054C:p.G352R) in exon 13 of the TLE6 gene that cosegregated with the EDA phenotype in an autosomal recessive pattern. Other members of the family,...
Downregulation of oxytocin-related genes in periodontitis
, Article Frontiers in Molecular Neuroscience ; Volume 15 , 2022 ; 16625099 (ISSN) ; Gholami, L ; Nazer, N ; Hussen, B. M ; Sayad, A ; Hajiesmaeili, M ; Sharif University of Technology
Frontiers Media S.A
2022
Abstract
Periodontitis is a common oral disorder leading to tooth loss in both developed and developing regions of the world. This multifactorial condition is related to the abnormal activity of several molecular pathways, among them are oxytocin-related pathways. In this study, we enrolled 26 patients and 28 controls and assessed the expression of four oxytocin-related genes, namely, FOS, ITPR, RCAN1, and RGS2, in circulation and affected tissues of enrolled individuals using real-time PCR. Expression of FOS was downregulated in total periodontitis tissues compared with total control tissues [ratio of mean expression (RME) = 0.23, P-value = 0.03]. Expression of FOS was also lower in total blood...
Effect of Initial Static Shear Stress on Undrained Cyclic Resistance of Well Graded, Medium Dense Gravelly Soils by Cyclic Triaxial Tests
, M.Sc. Thesis Sharif University of Technology ; Haeri, Mohsen (Supervisor)
Abstract
Softening and liquefaction of granular soils due to earthquakes have been a major cause for much destruction in preceding decades. This phenomenon mostly occurs in sandy soils, yet its occurrence has also been reported in gravelly soils in the last three decades. Despite the numerous researches which have investigated the undrained cyclic behavior of gravelly soils during earthquakes, there are still some aspects that need further study.This research investigates the effect of initial static shear stress on undrained cyclic resistance of a well graded, medium dense gravelly soil by conducting a series of cyclic triaxial tests. The 23 performed tests are categorized into 5 groups with...
Application of single-nucleotide polymorphisms in the diagnosis of autism spectrum disorders: a preliminary study with artificial neural networks
, Article Journal of Molecular Neuroscience ; Volume 68, Issue 4 , 2019 , Pages 515-521 ; 08958696 (ISSN) ; Taheri, M ; Omrani, M. D ; Daaee, A ; Mohammad Rahimi, H ; Kazazi, H ; Sharif University of Technology
Springer New York LLC
2019
Abstract
Autism spectrum disorder (ASD) includes different neurodevelopmental disorders characterized by deficits in social communication, and restricted, repetitive patterns of behavior, interests or activities. Based on the importance of early diagnosis for effective therapeutic intervention, several strategies have been employed for detection of the disorder. The artificial neural network (ANN) as a type of machine learning method is a common strategy. In the current study, we extracted genomic data for 487 ASD patients and 455 healthy individuals. All individuals were genotyped in certain single-nucleotide polymorphisms within retinoic acid-related orphan receptor alpha (RORA), gamma-aminobutyric...
Altered expression of SOCS genes periodontitis
, Article BMC Oral Health ; Volume 22, Issue 1 , 2022 ; 14726831 (ISSN) ; Gholami, L ; Sadeghpour, S ; Nazer, N ; Hussen, B. M ; Sayad, A ; Taheri, M ; Sharif University of Technology
BioMed Central Ltd
2022
Abstract
Suppressor of cytokine signalling (SOCS) family comprises a group of proteins that impede JAK/STAT signalling, thus being involved in the pathogenesis of immune-related conditions. In the present work, we aimed at identification of the role of SOCS genes in the pathogenesis of periodontitis through evaluation of their expression levels both in the circulation and in the affected tissues of patients. Thus, we measured expression levels of SOCS1-3 and SOCS5 transcripts in the blood and gingival samples of patients with periodontitis in comparison with control samples obtained during dental crown lengthening. Expressions of SOCS1, SOCS2, SOCS3 and SOCS5 genes were similar between gingival...