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Atmospheric pressure gliding arc discharge plasma treatments for improving germination, growth and yield of wheat

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Plasma Science and Technology 2018年第11期20卷 90-100页

作者： N C ROY m m HASAN A H KABIR m A reza m R TalUKDER A N CHOWDHURY Plasma Science and Technology Laboratory Department of Applied Physics and Electronic EngineeringUniversity of Rajshahi Rajshahi 6205 Bangladesh Department of Agronomy and Agricultural Extension University of Rajshahi Rajshahi 6205 Bangladesh Depatment of Botany University of Rajshahi Rajshahi 6205Bangladesh Department of Genetic Engineering and Biotechnology University of Rajshahi Rajshahi 6205Bangladesh Bangladesh Council of Scientific and Industrial Research Laboratory Rajshahi Rajshahi 6206Bangladesh

Wheat （Triticum aestivum） seeds were treated with atmospheric pressure gliding arc discharge plasmas to investigate the effects on water absorption, seed germination rate, seedling growth and yield in wheat. The surface architectures and functionalities of the seeds were found to modify due to plasma treatments. 6 rain treatment was provided 95%-100% germination rate. For the treatment duration of 3 and 9 rain the growth activity, dry matter accumulation, leaves chlorophyll contents, longest spikes, number of spikes/spikelet and total soluble protein content in shoots were improved. The grain yield of wheat was increased ,--20% by 6 min treatment with H2O/O2 plasma with respect to control.

关键词： atmospheric pressure gliding arc discharge plasmas wheat germination growth improvement total soluble protein

A new kinetic spectrophotometric method for the determination of major metabolite of heroin in biological samples

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Chinese Chemical Letters 2012年第5期23卷 611-614页

作者： m.reza Shishehbore ali Sheibani Ehsan mirparizi Department of Chemistry Yazd BranchIslamic Azad UniversityYazd 89195-155Iran

This study describes a simple,rapid and selective catalytic kinetic spectrophotometric method for the determination of 6- monoacetylmorphine（6-mAm） as major metabolite of heroin in biological *** method is based upon the catalytic effect of 6-mAm on the oxidation of Janus Green by bromate in acid *** reaction was followed spectrophotometrically by measuring the decrease in absorbance of Janus Green at 618 *** dependence of sensitivity on the reaction variables was *** optimum conditions,two linear calibration curves over the range 0.1-1.0μg mL^（-1） and 1.0-34.0μg mL^（-1） of 6- mAm were *** detection limit was 1.2×10~2μg mL^（-1） of *** relative standard deviations for six replicate determinations of 0.8 and 5.0μg mL^（-1） of 6-mAm were 1.4 and 1.1%*** effect of various species commonly associated with heroin in real samples was also *** proposed method was successfully applied in human urine and serum samples with satisfactory results.

关键词： Heroin metabolite 6-monoacetylmorphine Janus Green Kinetic spectrophotometric Biological sample

mHD effect of mixed convection boundary-layer flow of Powell-Eyring fluid past nonlinear stretching surface

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Applied mathematics and mechanics(English Edition) 2014年第12期35卷 1525-1540页

作者： S.PANIGRAHI m.reza A.K.mISHRA Department of mathematics National Institute of Science & TechnologyBerhampur 761008 India Department of mathematics Berhampur UniversityBerhampur 760007 India

Sufficient conditions are found for the existence of similar solutions of the mixed convection flow of a Powell-Eyring fluid over a nonlinear stretching permeable sur- face in the presence of magnetic field. To achieve this, one parameter linear group trans- formation is applied. The governing momentum and energy equations are transformed to nonlinear ordinary differential equations by use of a similarity transformation. These equations are solved by the homotopy analysis method （HAm） to obtain the approximate solutions. The effects of magnetic field, suction, and buoyancy on the Powell-Eyring fluid flow with heat transfer inside the boundary layer are analyzed. The effects of the non- Newtonian fluid （Powell-Eyring model） parameters ε and δon the skin friction and local heat transfer coefficients for the cases of aiding and opposite flows are investigated and discussed. It is observed that the momentum boundary layer thickness increases and the thermal boundary layer thickness decreases with the increase in ε whereas the momentum boundary layer thickness decreases and thermal boundary layer thickness increases with the increase in δ for both the aiding and opposing mixed convection flows.

关键词： stretching surface non-Newtonian fluid mixed convection

An ensemble deep learning model for cyber threat hunting in industrial internet of things

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Digital Communications and Networks 2023年第1期9卷 101-110页

作者： Abbas Yazdinejad mostafa Kazemi reza m.Parizi ali Dehghantanha Hadis Karimipour Cyber Science Lab School of Computer ScienceUniversity of GuelphOntarioCanada Department of Electrical Engineering Faculty of EngineeringShahed UniversityTehranIran College of Computing and Software Engineering Kennesaw State UniversityGAUSA School of Engineering University of GuelphOntarioCanada

By the emergence of the fourth industrial revolution,interconnected devices and sensors generate large-scale,dynamic,and inharmonious data in Industrial Internet of Things(IIoT)*** vast heterogeneous data increase the challenges of security risks and data analysis *** IIoT grows,cyber-attacks become more diverse and complex,making existing anomaly detection models less effective to *** this paper,an ensemble deep learning model that uses the benefits of the Long Short-Term memory(LSTm)and the AutoEncoder(AE)architecture to identify out-of-norm activities for cyber threat hunting in IIoT is *** this model,the LSTm is applied to create a model on normal time series of data(past and present data)to learn normal data patterns and the important features of data are identified by AE to reduce data *** addition,the imbalanced nature of IIoT datasets has not been considered in most of the previous literature,affecting low accuracy and *** solve this problem,the proposed model extracts new balanced data from the imbalanced datasets,and these new balanced data are fed into the deep LSTm AE anomaly detection *** this paper,the proposed model is evaluated on two real IIoT datasets-Gas Pipeline(GP)and Secure Water Treatment(SWaT)that are imbalanced and consist of long-term and short-term dependency on *** results are compared with conventional machine learning classifiers,Random Forest(RF),multi-Layer Perceptron(mLP),Decision Tree(DT),and Super Vector machines(SVm),in which higher performance in terms of accuracy is obtained,99.3%and 99.7%based on GP and SWaT datasets,***,the proposed ensemble model is compared with advanced related models,including Stacked Auto-Encoders(SAE),Naive Bayes(NB),Projective Adaptive Resonance Theory(PART),Convolutional Auto-Encoder(C-AE),and Package Signatures(PS)based LSTm(PS-LSTm)model.

关键词： Internet of things IIoT Anomaly detection Ensemble deep learning Neural networks LSTm

3-multi ranked encryption with enhanced security in cloud computing

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Digital Communications and Networks 2023年第2期9卷 313-326页

作者： YeEun Kim Junggab Son reza m.Parizi Gautam Srivastava Heekuck Oh major in Bio Artificial Intelligence Dept.of Computer Science and EngineeringHanyang UniversityAnsanRepublic of Korea Department of Computer Science Kennesaw State UniversityMariettaUSA Department of Software Engineering Kennesaw State UniversityMariettaUSA Department of mathematics and Computer Science Brandon UniversityBrandonCanada Research Center for Interneural Computing China Medical UniversityTaichungTaiwanChina Dept.of Computer Science and Engineering Hanyang UniversityAnsanRepublic of Korea

Searchable Encryption(SE)enables data owners to search remotely stored ciphertexts selectively.A practical model that is closest to real life should be able to handle search queries with multiple keywords and multiple data owners/users,and even return the top-k most relevant search results when *** refer to a model that satisfies all of the conditions a 3-multi ranked search ***,SE schemes that have been proposed to date use fully trusted trapdoor generation centers,and several methods assume a secure connection between the data users and a trapdoor generation *** is,they assume the trapdoor generation center is the only entity that can learn the information regarding queried keywords,but it will never attempt to use it in any other manner than that requested,which is impractical in real *** this study,to enhance the security,we propose a new 3-multi ranked SE scheme that satisfies all conditions without these security *** proposed scheme uses randomized keywords to protect the interested keywords of users from both outside adversaries and the honest-but-curious trapdoor generation center,thereby preventing attackers from determining whether two different queries include the same ***,we develop a method for managing multiple encrypted keywords from every data owner,each encrypted with a different *** evaluation demonstrates that,despite the trade-off overhead that results from the weaker security assumption,the proposed scheme achieves reasonable performance compared to extant schemes,which implies that our scheme is practical and closest to real life.

关键词： Searchable encryption multi-keyword search multiple data owners/users Ranked search Enhanced security

Dynamic characteristics of bubbling fluidization through recurrence rate analysis of pressure fluctuations

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Particuology 2013年第3期11卷 282-287页

作者： Hossein Sedighikamal.reza Zarghami multiphase Systems Department Oil and Gas Processing Centre of ExcellenceSchool of Chemical EngineeringCollege of EngineeringUniversity of Tehran

Pressure fluctuations signals of a lab-scale fiuidized bed （15 cm inner diameter and 2 m height） at different superficial gas velocities were measured. Recurrence plot （RP） and recurrence rate （RR）, and the simplest variable of recurrence quantification analysis （RQA） were used to analyze the pressure signals. Different patterns observed in RP reflect different dynamic behavior of the system under study. It was also found that the variance of RR （a2R） Could reveal the peak dominant frequencies （PDF） of different dynamic systems： completely periodic, completely stochastic, Lorenz system, and fluidized bed. The results were compared with power spectral density. Additionally, the diagram of σ^2RR provides a new technique for prediction of transition velocity from bubbling to turbulent fluidization regime.

关键词： Pressure fluctuations Fluidization Recurrence rate Peak dominant frequency Transition velocity Power spectral density

A green and efficient oxidation of benzylic alcohols using H_2O_2 catalyzed by montmorillonite K-10 supported CoCl_2

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Chinese Chemical Letters 2008年第11期19卷 1277-1280页

作者： ali Ezabadi Ghloam reza Najafi mohammad m.Hashemi Department of Chemistry Central Tehran BranchAzad UniversityTehranIran Department of Chemistry Science & Research BranchAzad UniversityTehranIran

Primary and secondary benzylic alcohols were oxidized to the corresponding carbonyl compounds in good to high yields by environmentally friendly and green oxidant, H2O2 catalyzed by montmorillonite K-10 supported cob... 详细信息

关键词： Grecn oxidation Hydrogcn peroxide montmorillonite K-10 Cobalt(Ⅱ) chloride

A green and efficient deoximation using H_2O_2 catalyzed by montmorillonite-K10 supported CoCl_2

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Chinese Chemical Letters 2007年第12期18卷 1451-1454页

作者： ali Ezabadi Gholam reza Najafi mohammed m.Hashemi Department of Chemistry Central Tehran Branch Department of Chemistry Science and Research BranchIslamic Azad UniversityTehranIran Department of Chemistry Sharif University of TechnologyP.O.Box 11365-9516TehranIran

Oximes were oxidized to the corresponding carbonyl compounds in good to high yields by environmentally friendly and green oxidant, H202 catalyzed by montmorillonite K-10 supported cobalt（Ⅱ） chloride.

关键词： Green deoximation system Hydrogen peroxide montmorillonite K-IO Cobalt(II) chloride

Kinetic spectrophotometric determination of bromide in clidinium-c drug

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Chinese Chemical Letters 2011年第5期22卷 595-598页

作者： ali Sheibani m.reza Shishehbore Zahra Tavakolian Ardakani Department of Chemistry Islamic Azad UniversityYazd BranchYazd 89195-155Iran

A simple,rapid and sensitive method has been described for the determination of the trace amounts of *** method is based on the catalytic effect of bromide ion on the oxidation of methylene blue by bromate in sulfuric acid *** reaction is monitored spectrophotometrically by measuring the decrease in the absorbance of methylene blue at 665 nm. Bromide was determined in the range of 0.05-1.90μg/mL with the detection limit of 0.03μg/*** relative standard deviations of five replicate determinations of 0.20 and 10.0μg/mL of bromide were 2.4%and 1.8%,*** influence of potential interfering ions and substances was *** method is applied to the analysis of bromide in clidinium-c tablet as a real sample.

关键词： Kinetic spectrophotometric Clidinium-c Clidinium bromide methylene blue