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Synthesis, characterization and assessment thermal properties of clay based nanopigments

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Frontiers of Chemical Science and Engineering 2015年第1期9卷 40-45页

作者： Mohammad Banimahd KIEVANI milad EDRAKI Department of Chemistry Payame Noor University Tehran Iran Young Research and Elite Club South Tehran Branch Islamic Azad University Tehran Iran

Nano-clay based pigments （NCP） are new type of pigments composed of organic dyes and layered silicate- clay nano-particles, and have already been used in polymeric coatings to improve mechanical thermal and stability properties. In this paper, the basic blue 41（BB41） was intercalated into Na＋- montmorillonite in an aqueous medium. The dye-intercalated montmorillonite was cen- trifuged, dried, and milled to prepare the nanopigrnent particles. X-ray diffraction showed an increase in the basal spacing, thus confirming intercalation of the BB41 molecules within the nanostructures of the interlayer spaces. Fourier transform infrared spectroscopy was used for identifying the functional groups and chemical bounding of Na＋-montmorillonite, BB41 and montmor- illonite-BB41. The morphology of NCP was also studied by transmission electron microscopy. Finally, thermo- gravimetric analysis and differential thermograms sug- gested the thermal stability of the intercalated dye was improved.

关键词： nanopigment layered silicate cationic dye,thermal properties

Mild and Efficient Synthesis of 1-（6-Chloroquinoxalin-2-yl）-2- [4-（trifluoromethyl）-2,6-dinitrophenyl] Hydrazine Derivatives by Microwave Irradiation

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Chemical Research in Chinese Universities 2014年第3期30卷 405-408页

作者： milad Taheri HANIYEH Alavi HAMIDEH Nazari Department of Chemistry Islamic Azad University Tehran 14735/334 Iran

Some 1-（6-chloroquinoxalin-2-yl）-2-[4-（trifluoromethyl）-2,6-dinitrophenyl] hydrazine derivatives have been synthesized via both conventional and microwave assisted organic synthesis（MAOS） methods. The MAOS method is more effective on synthesizing these compounds than the conventional method in regard to the higher chemical yields of products（76%-98%） and the shorter reaction time（1-15 min）.

关键词： 2,6-Dichloroquinoxaline 2-Chloro-1-3-dinitro-5-triflouromthylbenzene hydrazine hydrate Methyl hydrazine Microwave assistant organic synthesis(MAOS)

Corrosion behavior of severely plastically deformed Mg and Mg alloys

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Journal of Magnesium and Alloys 2022年第10期10卷 2607-2648页

作者： Ahmad Bahmani Mehrab Lotfpour milad Taghizadeh Woo-Jin Kim Department of Advanced Materials and Renewable Energy Iranian Research Organization for Science and TechnologyTehran ***Iran Department of Mechanical Engineering University of NevadaRenoNV 89557USA Department of Mechanical Engineering Clemson UniversityClemsonSC 29634USA Department of Materials Science and Engineering Hongik UniversityMapo-guSangsu-dong 72-1Seoul 121-791Republic of Korea

Magnesium(Mg)alloys have several advantages,such as low density,high specific strength and ***,they also suffer weak points,such as high corrosion,low formability and easy ignition,which makes their applications *** studies have been conducted to overcome these disadvantages and further improve the advantages of Mg *** plastic deformation(SPD)is one of the most important techniques and has great effects on the microstructure refinement of Mg alloys and improvements in their strength and *** researchers have studied the corrosion behavior of SPD-processed Mg alloys in recent ***,these studies have reported some controversial effects of SPD on the corrosion of Mg alloys,which makes the research roadmap ***,it is important to review the literature related to the corrosion properties of Mg alloys prepared by SPD and understand the mechanisms controlling their corrosion *** grain refinement by SPD improves the corrosion properties of pure Mg and Mg alloys,but control of the processing conditions is a key factor for achieving this goal because texture,dislocation density,size and morphology of secondary phase also importantly affects the corrosion properties of Mg *** grain size in the fine grain-size range can decrease the corrosion rate due to the increased barrier effect of grain boundaries against corrosion and the formation of a stable passivation layer on the surface of fine *** texture reduces the corrosion rate because basal planes with the highest atomic planar density are more corrosion resistant than other *** dislocation density after SPD deteriorates the corrosion resistance of the interior grains and thus proper annealing after SPD is *** fine and uniform distribution of secondary phase particles during SPD is important to minimize the micro-galvanic corrosion effect and retain small grains during annealing treatment f

关键词： Magnesium alloys Corrosion Severe plastic deformation Grain size Secondary phase Dislocation density

Inhibiting soil loss and runoff from small plots induced by an individual freeze-thaw cycle using three rangeland species

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International Soil and Water Conservation Research 2020年第3期8卷 228-236页

作者： milad Hatefi Seyed Hamidreza Sadeghi Reza Erfanzadeh Morteza Behzadfar Department of Watershed Management Engineering Faculty of Natural ResourcesTarbiat Modares UniversityIran Department of Rangeland Management Faculty of Natural ResourcesTarbiat Modares UniversityNoorIran

This study investigated the role of three rangeland species *** trichophorum,Medicago sativa,and Lolium prenne on mitigating of effects of a freeze-thaw(FT)cycle on runoff generation and soil loss from small experimental *** plots(0.5×0.5m)were prepared in three replicates for control(i.e.,under a FT cycle only)and treatments(i.e.,individually planted with the study species and subject to a FT cycle).The treated plots were then placed at a slope of 20%and subjected to simulated rainfall with intensity of 70 mm h-1 and 30 min *** results of the study showed a significant effect(P<0.05)of the plants on controlling runoff and soil loss after a FT ***,the detrimental effects of the FT cycle due to performance of ice lenses and formation of an active melting layer in the soil surface were ameliorated by the presence of litter on the soil and root-binding effect of the *** to runoff increased by 54,111 and 10%,runoff volume decreased by 27,68 and 0.4%and soil loss changed by-34,-62,and+6.5%in the plots planted with ***,*** and ***,*** results of the current study indicated that *** had the maximum benefit on reducing runoff and soil loss from the plots undergoing a FT cycle.

关键词： Biological measures Frosted soil Plant binding effects Soil hydrology

Hybrid global gridded snow products and conceptual simulations of distributed snow budget:evaluation of different scenarios in a mountainous watershed

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Frontiers of Earth Science 2023年第2期17卷 391-406页

作者： Mercedeh TAHERI milad Shamsi ANBOOHI Rahimeh MOUSAVI Mohsen NASSERI School of Civil Engineering College of EngineeringUniversity of TehranTehran ***Iran Department of Civil Engineering University of OttawaOttawaOntario K1N6N5Canada Department of Civil Engineering Faculty of EngineeringUniversity of ZanjanZanjan 45371-38791Iran

Considering snowmelt in mountainous areas as the important source of streamflow,the snow accumulation/melting processes are vital for accurate simulation of the hydrological *** lack of snow-related data and its uncertainties/conceptual ambiguity in snowpack modeling are the different challenges of developing hydroclimatological *** tackle these challenges,Global Gridded Snow Products(GGSPs)are introduced,which effectively simplify the identification of the spatial characteristics of snow hydrological *** research aims to investigate the performance of multisource GGSPs using multi-stage calibration strategies in hydrological *** used GGSPs were Snow-Covered Area(SCA)and Snow Water Equivalent(SWE),implemented individually or jointly to calibrate an appropriate water balance *** study area was a mountainous watershed located in Western Iran with a considerable contribution of snowmelt to the generated *** results showed that using GGSPs as complementary information in the calibration process,besides streamflow time series,could improve the modeling accuracy compared to the conventional calibration,which is only based on streamflow *** SCA with NSE,KGE,and RMSE values varying within the ranges of 0.47–0.57,0.54–0.65,and 4–6.88,respectively,outperformed the SWE with the corresponding metrics of 0.36–0.59,0.47–0.60,and 5.22–7.46,respectively,in simulating the total streamflow of the *** addition to the superiority of the SCA over SWE,the twostage calibration strategy reduced the number of optimized parameters in each stage and the dependency of internal processes on the streamflow and improved the accuracy of the results compared with the conventional calibration *** the other hand,the consistent contribution of snowmelt to the total generated streamflow(ranging from 0.9 to 1.47)and the ratio of snow melting to snowfall(ranging from 0.925 to 1.041)in different calibration strategies and models resu

关键词： global gridded snow products snow hydrology multi-stage calibration strategy hydroclimatological modeling mountainous watershed

Ensemble machine learning framework for daylight modelling of various building layouts

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Building Simulation 2023年第11期16卷 2049-2061页

作者： Rashed Alsharif Mehrdad Arashpour Emad Golafshani milad Bazli Saeed Reza Mohandes Department of Civil Engineering Monash UniversityMelbourneAustralia Department of Construction Engineering at AlQunfudah Umm Al-Qura UniversityMeccaSaudi Arabia College of Engineering ITand EnvironmentCharles Darwin UniversityCasuarinaAustralia Department of Mechanical Aerospace and Civil EngineeringUniversity of ManchesterManchesterUK

The application of machine learning(ML)modelling in daylight prediction has been a promising approach for reliable and effective visual comfort *** many advancements have been made,no standardized ML modelling framework exists in daylight *** this study,625 different building layouts were generated to model useful daylight illuminance(UDI).Two state-of-the-art ML algorithms,eXtreme Gradient Boosting(XGBoost)and random forest(RF),were employed to analyze UDI in four categories:UDI-f(fell short),UDI-s(supplementary),UDI-a(autonomous),and UDI-e(exceeded).A feature(internal finish)was introduced to the framework to better reflect real-world *** results show that XGBoost models predict UDI with a maximum accuracy of R^(2)=*** to RF,the XGBoost ML models can significantly reduce prediction *** research directions have been specified to advance the proposed framework by introducing new features and exploring new ML architectures to standardize ML applications in daylight prediction.

关键词： artificial intelligence indoor environment machine learning parametric building layout sunlight visual comfort

Stochastic Epidemic Model of Covid-19 via the Reservoir-People Transmission Network

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Computers, Materials & Continua 2022年第7期72卷 1495-1514页

作者： Kazem Nouri milad Fahimi Leila Torkzadeh Dumitru Baleanu Department of Mathematics Faculty of MathematicsStatistics and Computer SciencesSemnan UniversityP.O.Box 35195-363SemnanIran Department of Mathematics Faculty of Arts and SciencesCankaya UniversityAnkaraTurkey Institute of Space Sciences Magurele-BucharestRomania

The novel Coronavirus COVID-19 emerged in Wuhan,China in December ***-19 has rapidly spread among human populations and other *** outbreak of COVID-19 has become a global *** models of epidemiological systems enable studying and predicting the potential spread of *** and predicting the evolution of COVID-19 epidemics in near real-time is a scientific challenge,this requires a deep understanding of the dynamics of pandemics and the possibility that the diffusion process can be completely *** this paper,we develop and analyze a model to simulate the Coronavirus transmission dynamics based on Reservoir-People transmission *** faced with a potential outbreak,decision-makers need to be able to trust mathematical models for their decision-making *** of the most considerable characteristics of COVID-19 is its different behaviors in various countries and regions,or even in different individuals,which can be a sign of uncertain and accidental behavior in the disease *** trait reflects the existence of the capacity of transmitting perturbations across its *** construct a stochastic environment because of parameters random essence and introduce a stochastic version of *** we prove the uniqueness and existence of the solution on the stochastic ***,the equilibria of the system are ***,we establish the extinction of the disease under some suitable ***,some numerical simulation and comparison are carried out to validate the theoretical results and the possibility of comparability of the stochastic model with the deterministic model.

关键词： Coronavirus infectious diseases stochastic modeling brownian motion reservoir-people model transmission simulation stochastic differential equation

Effects of sodium nitroprusside on callus browning of Ficus religiosa: an important medicinal plant

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Journal of Forestry Research 2020年第3期31卷 789-796页

作者： Mohsen Hesami Masoud Tohidfar milad Alizadeh Mohammad Hosein Daneshvar Department of Horticultural Science Faculty of AgricultureUniversity of TehranKarajIran Department of Plant Biotechnology Faculty of Life Science and BiotechnologyShahid Beheshti UniversityTehranIran Department of Horticultural Science Faculty of AgricultureKhuzestan Agricultural Sciences and Natural Resources UniversityMollasaniIran

Tissue browning is a major problem in tissue culturing of woody plants, especially for Ficus religiosa which occurs by the accumulation and oxidation of phenolic compounds. This study aimed to determine the effect of different concentrations of sodium nitroprusside on the appearance of callus browning from leaf explants. The results indicate that callus browning was significantly reduced by supplementation of sodium nitroprusside to the MS medium and supplemented with 2.26μM of 2,4-dichlorophenoxyacetic acid and 0.22μM of 6-benzyl amino purine. The accumulation of hydrogen peroxide and phenolic compounds in the callus tissues decreased at the 50 μM concentration of sodium nitroprusside. Although catalase and peroxidase activities decreased at the 50μM concentration, the activity of superoxide dismutase and polyphenol oxidases, as well as proline content, increased exponentially. Sodium nitroprusside could be useful for the formation of non-embryogenic callus with high levels of metabolic activity for the production and isolation of secondary metabolites.

关键词： Nitric oxide Oxidative enzymes Proline Reactive oxygen species

Presentation of machine learning methods to determine the most important factors affecting road traffic accidents on rural roads

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Frontiers of Structural and Civil Engineering 2022年第5期16卷 657-666页

作者： Hamid MIRZAHOSSEIN milad SASHURPOUR Seyed Mohsen HOSSEINIAN Vahid Najafi Moghaddam GILANI Civil–Transportation Planning Department Faculty of Technical and EngineeringImam Khomeini International University(IKIU)Qazvin 34148-96818Iran School of Civil Engineering Iran University of Science and Technology(IUST)Tehran 13114-16846Iran

The purpose of this research was to develop statistical and intelligent models for predicting the severity of road traffic accidents(RTAs)on rural *** Logistic Regression(MLR)was used to predict the likelihood of *** more accurate prediction,Multi-Layer Perceptron(MLP)and Radius Basis Function(RBF)neural networks were *** indicated that in MLR,the model obtained from the backward method with the correct percent of 84.7%and R2 value of 0.893 was the best method for predicting the likelihood of ***,MLR showed that the variables of not paying attention to the front not paying attention to the frontroad ahead,followed byand then vehicle-motorcycle/bike accidents were the greatest *** the models,MLP had a better performance,so that the prediction accuracy of MLR,MLP,and RBF were 84.7%,96.7%,and 92.1%,*** model,due to higher accuracy,showed that the variable of reason of accident had the highest effect on the prediction of accidents,and considering MLR results,the variables of not paying attention to the front and then vehicle-motorcycle/bike accidents had the most influence on the occurrence of ***,motorcyclists and cyclists are more prone to accidents,and appropriate solutions should be adopted to enhance their safety.

关键词： safety rural accidents multiple logistic regression artificial neural networks