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Toward a More Accurate Web Service Selection Using Modified Interval DEA Models with Undesirable Outputs

Computer Modeling in Engineering & Sciences 2020年第5期123卷 525-570页

作者： Alireza Poordavoodi mohammad reza moazami goudarzi Hamid Haj Seyyed Javadi Amir Masoud Rahmani mohammad Izadikhah Department of Computer Engineering Borujerd BranchIslamic Azad UniversityBorujerdIran Department of Mathematics Borujerd BranchIslamic Azad UniversityBorujerdIran Department of Mathematics and Computer Science Shahed UniversityTehranIran Department of Computer Science Khazar UniversityBakuAzerbaijan Department of Mathematics Arak BranchIslamic Azad UniversityArakIran

With the growing number of Web services on the internet,there is a challenge to select the best Web service which can offer more quality-of-service(QoS)values at the lowest *** challenge is the uncertainty of QoS values over time due to the unpredictable nature of the *** this paper,we modify the interval data envelopment analysis(DEA)models[Wang,Greatbanks and Yang(2005)]for QoS-aware Web service selection considering the uncertainty of QoS attributes in the presence of desirable and undesirable *** conduct a set of experiments using a synthesized dataset to show the capabilities of the proposed *** experimental results show that the correlation between the proposed models and the interval DEA models is ***,the proposed models provide almost robust results and represent more stable behavior than the interval DEA models against QoS ***,we demonstrate the usefulness of the proposed models for QoS-aware Web service *** results indicate that the proposed models significantly improve the fitness of the resultant compositions when they filter out unsatisfactory candidate services for each abstract service in the preprocessing *** models help users to select the best possible cloud service considering the dynamic internet environment and they help service providers to improve their Web services in the market.

关键词： Cloud computing interval data envelopment analysis interval entropy Web service selection undesirable outputs

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Suspended particulate matter promotes epithelial-to-mesenchymal transition in alveolar epithelial cells via TGF-β1-mediated ROS/IL-8/SMAD3 axis

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Journal of Environmental Sciences 2024年第7期141卷 139-150页

作者： Shahrzad Molavinia Dian Dayer mohammad Javad Khodayar Gholamreza goudarzi Maryam Salehcheh Cellular and Molecular Research Center Medical Basic Sciences Research InstituteAhvaz Jundishapur University of Medical SciencesAhvazIran Department of Toxicology School of PharmacyAhvaz Jundishapur University of Medical SciencesAhvazIran Student Research Committee Ahvaz Jundishapur University of Medical SciencesAhvazIran Toxicology Research Center Medical Basic Sciences Research InstituteAhvaz Jundishapur University of Medical SciencesAhvazIran Air Pollution and Respiratory Diseases Research Center Ahvaz Jundishapur University of Medical SciencesAhvazIran Iranian Scientific Association of Clean Air TehranIran

Epidemiological evidence presents that dust storms are related to respiratory diseases,such as pulmonary fibrosis(PF).However,the precise underlying mechanisms of SPM-elicited adverse effects still need to be ***-mesenchymal transition(EMT)process is a characteristic of *** discussed whether suspended particulate matter(SPM)is involved in EMT induction via transforming growth factor-β1(TGF-β1).In this study,a detailed elemental analysis(55 elements),particle size,and morphology were *** investigate the toxicity of SPM,an MTT test was performed to detect cell ***,A549cells were exposed to selected concentrations of SPM(20 and 40μg/mL)for single and repeated *** DCFH-DA assay showed that exposure to SPM could produce reactive oxygen species(ROS).The ELISA assay demonstrated increased levels of interleukin-8(IL-8)and TGF-β1 in the *** blot was used to detect the expression of proteins associated with EMT and the SMAD3-dependent *** of western blot demonstrated that E-cadherin was reduced,whereas p-SMAD3,vimentin,andα-smooth muscle actin were *** findings indicated that SPM triggered EMT by induction of oxidative stress,inflammation,and the TGF-β1/SMAD3 pathway activation.

关键词： Particulate matter TGF-β1 Oxidative stress Epithelial-mesenchymal transition Pulmonary fibrosis Cells

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Microstructures, hardening and tribological behaviors of tin matrix composites reinforced with SiC and Zn particles

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Rare Metals 2021年第9期40卷 2584-2592页

作者： Fatemeh Ghasemi mohammad moazami-goudarzi Hamidreza Najaﬁ Department of Materials Engineering Science and Research BranchIslamic Azad UniversityTehran ***Iran

In order to strengthen pure tin and improve its dry sliding resistance, Sn/SiC and Sn/Zn composites were fabricated via a powder metallurgy route. Microstructure,hardness and pin-on-disk wear resistance of pure tin and the fabricated composites were compared to those of Sn–7.5 Sb–3.5 Cu Babbitt alloy. The dominant wear mechanism at different applied loads was determined by analyzing worn surfaces and wear debris in each case. The results showed that the hardening effect of Zn was much higher than that of SiC. The hardening role of Zn in the tin matrix was ascribed to the direct load transfer mechanism. Microscopic studies of the worn surfaces revealed that the pure tin was susceptible to surface fatigue wear and plowing damage, depending on the normal load applied during the wear test. In the case of Sn/SiC composite and the Babbitt alloy, delamination wear mechanism resulting from subsurface crack propagation controlled the wear rate. While the highest hardness and the lowest coefficient of friction were obtained for the Babbitt alloy, the Sn/Zn composite exhibited the highest wear resistance at a constant applied load, indicating the importance of asperity contact type in the wear process.

关键词： Tin matrix composites Babbitt alloy Microstructure Hardening mechanisms Wear behavior

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Tribological behavior of self lubricating Cu/MoS_2 composites fabricated by powder metallurgy

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Transactions of Nonferrous Metals Society of China 2018年第5期28卷 946-956页

作者： mohammad moazami-goudarzi Aram NEMATI Department of Materials Engineering Science and Research Branch Islamic Azad University

The effects of MoS2 content on microstructure, density, hardness and wear resistance of pure copper were studied. Copper-based composites containing 0-10%（mass fraction） MoS2 particles were fabricated by mechanical milling and hot pressing from pure copper and MoS2 powders. Wear resistance was evaluated in dry sliding condition using a pin on disk configuration at a constant sliding speed of 0.2 m/s. Hardness measurements showed a critical MoS2 content of 2.5% at which a hardness peak was attained. Regardless of the applied normal load, the lowest coefficient of friction and wear loss were attained for Cu/2.5 MoS2 composite. While coefficient of friction decreased when the applied normal load was raised from 1 to 4 N at any reinforcement content, the wear volume increased with increasing normal load. SEM micrographs from the worn surfaces and debris revealed that the wear mechanism was changed from mainly adhesion in pure copper to a combination of abrasion and delamination in Cu/MoS2 composites.

关键词： copper matrix composite microstxucture coefficient of friction wear mechanism

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Comparison of effect of SiC and MoS2 on wear behavior of Al matrix composites

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Transactions of Nonferrous Metals Society of China 2019年第6期29卷 1169-1183页

作者： mohammad ROUHI mohammad moazami-goudarzi mohammad ARDESTANI Department of Materials Engineering Science and Research Branch Islamic Azad University

In order to improve dry sliding wear resistance of pure aluminum against steel, aluminum-based composites reinforced with different contents of SiC,MoS2 and SiC/MoS2 particles were synthesized by press and sintering of the corresponding powder mixtures. The microstructural evaluations showed a dense microstructure which were in good agreement with the result of density and hardness measurements. The results of pin on disk wear tests performed against an AISI 52100 steel pin at a constant load and sliding velocity showed that there was a critical content for both types of the reinforcements at which the lowest wear rate was obtained, i.e. 10 vol.% and 2 vol.%, respectively,for Al/SiC and Al/MoS2 composites. However,the lowest wear rate and friction of coefficient were attained for Al/10 SiC/2 MoS2 hybrid composite. According to the scanning electron microscope observations, the predominant wear mechanism was changed from adhesion to abrasion mostly whenMoS2 particles were incorporated in the pure aluminum. Mild delamination was identified as the main wear mechanism for Al/SiC and Al/SiC/MoS2 composites. The frictional traces and worn surfaces of Al/SiC/MoS2 composites approached to those of Al/SiC composites,indicating the dominant role of SiC particles in tribological behavior of the hybrid composites.

关键词： Al/SiC/MoS2 composites microstructure wear mechanism friction

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Application of a new SPA-SVM coupling method for QSPR study of electrophoretic mobilities of some organic and inorganic compounds

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Chinese Chemical Letters 2013年第10期24卷 904-908页

作者： Nasser goudarzi mohammad Goodarzi M.Arab Chamjangali M.H.Fatemi Faculty of Chemistry Shahrood University of Technology Department of Chemistry Faculty of SciencesYong Researchers ClubAzad University Faculty of Chemistry Mazandaran University

In this work, two chemometrics methods are applied for the modeling and prediction of electrophoretic mobilities of some organic and inorganic compounds. The successive projection algorithm, feature selection （SPA） strategy, is used as the descriptor selection and model development method. Then, the support vector machine （SVM） and multiple linear regression （MLR） model are utilized to construct the non-linear and linear quantitative structure-property relationship models. The results obtained using the SVM model are compared with those obtained using MLR reveal that the SVM model is of much better predictive value than the MLR one. The root-mean-square errors for the training set and the test set for the SVM model were 0.1911 and 0.2569, respectively, while by the MLR model, they were 0.4908 and 0.6494, respectively. The results show that the SVM model drastically enhances the ability of prediction in QSPR studies and is superior to the MLR model.

关键词： Quantitative structure-mobility relationship Support vector machine Electrophoretic mobility Successive projection algorithm Multiple linear regression

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Real-Time and Intelligent Flood Forecasting Using UAV-Assisted Wireless Sensor Network

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Computers, Materials & Continua 2022年第1期70卷 715-738页

作者： Shidrokh goudarzi Seyed Ahmad Soleymani mohammad Hossein Anisi Domenico Ciuonzo Nazri Kama Salwani Abdullah mohammad Abdollahi Azgomi Zenon Chaczko Azri Azmi Centre for Artificial Intelligent(CAIT) Universiti Kebangsaan MalaysiaBangi43600Malaysia School of Computer Engineering Iran University of Science and TechnologyResalat Sq.16846-13114TehranIran School of Computing Faculty of Engineering Universiti Teknologi MalaysiaJohorMalaysia School of Computer Science and Electronic Engineering University of EssexColchester CO43SQUnited Kingdom Department of Electrical Engineering and Information Technologies University of Naples“Federico II”Naples80125Italy Razak Faculty of Technology and Informatics Universiti Teknologi MalaysiaKuala Lumpur54100Malaysia School of Electrical and Data Engineering University of Technology SydneyUltimoNSWAustralia

The Wireless Sensor Network(WSN)is a promising technology that could be used to monitor rivers’water levels for early warning flood detection in the 5G ***,during a flood,sensor nodes may be washed up or become faulty,which seriously affects network *** address this issue,Unmanned Aerial Vehicles(UAVs)could be integrated with WSN as routers or data mules to provide reliable data collection and flood *** light of this,we propose a fault-tolerant multi-level framework comprised of a WSN and a UAV to monitor river *** framework is capable to provide seamless data collection by handling the disconnections caused by the failed nodes during a ***,an algorithm hybridized with Group Method Data Handling(GMDH)and Particle Swarm Optimization(PSO)is proposed to predict forthcoming floods in an intelligent collaborative *** proposed water-level prediction model is trained based on the real dataset obtained fromthe Selangor River *** performance of the work in comparison with other models has been also evaluated and numerical results based on different metrics such as coefficient of determination(R2),correlation coefficient(R),RootMean Square Error(RMSE),Mean Absolute Percentage Error(MAPE),and BIAS are provided.

关键词： Unmanned aerial vehicles wireless sensor networks group method data handling particle swarm optimization river flow prediction

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Measuring Tumor Necrosis Factor-Alpha and Interleukin-1 Beta Levels in Mustard Gas Exposed Patients

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Advances in Bioscience and Biotechnology 2017年第4期8卷 134-141页

作者： Hoda Sheibani mohammad goudarzi Malek Ashtar Esfandiari Fatemeh Rousta reza Haji Hosseini Graduate of Biochemistry Immunohematology Department Blood Transfusion Center High Institute for Research Center and Education in Transfiusion Medicine Tehran Iran Graduate of Biochemistry Payame Noor University Tehran Iran Hygiene Department Ministry of Education Tehran Iran Department of Microbiology Islamic Azad University Science and Research Branch Tehran Iran Department of Biochemistry Payame Noor University Tehran Iran

Sulfur mustard (SM) is an alkalizing chemical which has been used mostly as a weapon all over the world. Sulfur mustard can cause damages to many organs, especially the skin, respiratory system and the eyes. Generally, many complications of mustard gas result from its alkalizing potency and reaction with cellular components like DNA, RNA, proteins and lipid membranes. The damages caused by SM will lead to many complications which persist during the lifespan of exposed subjects. Pro-inflammatory cytokines including especially TNF-α and IL-1β can cause systemic inflammatory reactions and vast changes like altered cell signaling, migration, cytokine production changes and fever. This study was designed to analyze cytokine levels in mustard-gas-exposed people’s serum in the war between Iraq and Iran, who had the chronic dry-eye symptoms compared to the normal group, 30 years after exposure. In this study, 25 veterans who were exposed to mustard gas were compared to 25 healthy people as control group. The veterans with concurrent involvement of eye, lung, and skin were selected. We used ELISA method to assess the levels of TNF-α and IL-1β in serum of people in both groups. All the results analyzed with T-test in SPSS 17 statistical software. The mean levels of TNF-α and IL-1β in serum of chemical exposed veterans were 52.3 ± 1.4 pg/ml and 3.43 ± 0.3 pg/ml while in the control group were 19.5±1.3 pg/ml and 2.25 ± 0.2 pg/ml, respectively. In the control group, the serum pro-inflammatory cytokine levels were significantly lower than the exposed group (P < 0.05). This study showed that there is a meaningful difference between TNF-α and IL-1β serum levels in the SM exposed group compared to the control group. There are some differences between the present study and others. However, studies on local inflammatory changes in these patients are also limited and need more reviews.

关键词： Mustard Gas (SM) Cytokine TNF-α and IL-1β

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