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Chinese Journal of Chemistry 2005年第10期23卷 1437-1442页

作者： SABER TEHRANI, Mohammad RASTEGAR, Faramarz PARCHEHBAF, Ayob rezvani, zolfaghar Department of Chemistry Faculty of Science Science and Research Campus lslamic Azad University Tehran Iran Plate-Form Analitique lnorganique Lois Pasteur University Strasburg France Department of Chemistry Faculty of Science Azarbaijan Tarbiat Moallem University Tabriz Iran

A simple and reliable method for the extraction and determination of trace amounts of copper（Ⅱ） ions using activated carbon （AC） impregnated by a new Schiff base 5-[（4-heptyloxyphenyl）azo]-N-（4-propyloxyphenyl）-salicylaldimine （HPPS） and atomic absorption spectrometry is presented. Recovery efficiency and the influence of pH value, volume of sample solution, effect of different eluents, and interfering ions were evaluated. The limit of detection （3σ） was 2.62 ***^-1 and the relative standard deviation （n=10） was 1.5%. Under optimum conditions, the copper ions were concentrated 25 fold using 250 mL of sample solution and 10 mL of eluent. This procedure has been successfully applied to the determination of copper in different water samples.

关键词： preconcentration determination copper flame atomic absorption spectrometry activated carbon

主(脱铝Y分子筛纳米腔)-客(Co,Mn和Co_x/Mn_x三核金属簇合物)纳米复合物催化剂高效催化环己烯环氧化反应（英文）

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催化学报 2015年第10期36卷 1719-1725页

作者： Maryam Moosavifar Alieh Navid Arbat zolfaghar rezvani Kamellia Nejati 马拉盖大学理学院化学系伊朗马拉盖55181-83111 帕亚莫努尔大学化学系伊朗德黑兰19395-3697 Azarbaijan Shahid Madani大学基础科学学院化学系伊朗大不里士

采用模板合成法制备了在脱铝Y分子筛纳米腔中含有Co,Mn,和Co/Mn混合物的三核金属簇合物的复合物催化剂,包括[Mn3(O)(CH3COO)6-(py)3]-Y,[Co3(O)(CH3COO)6-(py)3],[Co2Mn(O)(CH3COO)6-(py)3]-Y和[CoM n2(O)(CH3COO)6-(py)3]-Y],并运用傅里叶变换红外光谱、紫外-可见光光谱、前场扫描电镜、X射线衍射和原子吸收光谱对其进行了表征.包裹的金属簇合物在环己烯环氧化反应中表现出较高的催化活性,反应以H2O2/O2为氧化剂,在加热机械搅拌下进行,所得环氧化物产率在82.5%-90.7%.在该催化体系中,Na Br用作氧化助剂可以提高反应性能.在所制多相催化体系中,含单核的金属簇合物催化活性更高,其中以Mn3(O)-DAZY化合物的效率最高.各催化剂活性顺序为Mn3(O)-DAZY?Co3(O)-DAZY?Mn2Co(O)-DAZY?MnC o2(O)-DAZY.

关键词：环己烯环氧化金属簇合物脱铝Y分子筛钴

Designing Evolutionary Wavelet Neural Network for Estimating Foaming Slag Quality in Electric Arc Furnace Using Power Quality Indices

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CSEE Journal of Power and Energy Systems 2022年第4期8卷 1165-1174页

作者： Hamzeh rezvani Hamed Khodadadi Department of Electrical Engineering Khomeinishahr BranchIslamic Azad UniversityIsfahanIran

In the present study,a novel approach based on an evolutionary wavelet neural network(EWNN)is proposed to estimate the slag quality in an electric arc furnace(EAF)employing power quality *** the EWNN,an evolutionary method is applied to train the parameters for a combination of neural networks and wavelets.I For this purpose,all of the electrical parameters for six melting processes are measured with a power quality analyzer,attached to the secondary component of an EAF transformer at a Saba steel complex,to estimate the foaming slag *** results on various combinations of measured electrical parameters,applying the designed EWNN estimator,demonstrate that utilizing five leading indicators leads to the highest *** obtained 99%accuracy for estimating the foaming slag quality by EWNN compared to the other methods illustrates the proposed method's efficiency.

关键词： Electric arc furnace(EAF) evolutionary wavelet neural network(EWNN) foaming slag quality power quality analyzer

The Bedbug Meta-heuristic Algorithm to Solve Optimization Problems

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Journal of Bionic Engineering 2023年第5期20卷 2465-2485页

作者： Kouroush rezvani Ali Gaffari Mohammad Reza Ebrahimi Dishabi Department of Computer Engineering Miyaneh BranchIslamic Azad UniversityMiyanehIran Department of Computer Engineering Tabriz BranchIslamic Azad UniversityTabrizIran

Small parasitic Hemipteran insects known as bedbugs(Cimicidae)feed on warm-blooded mammal’s *** most famous member of this family is the Cimex lectularius or common *** current paper proposes a novel swarm intelligence optimization algorithm called the Bedbug Meta-Heuristic Algorithm(BMHA).The primary inspiration for the bedbug algorithm comes from the static and dynamic swarming behaviors of bedbugs in *** two main stages of optimization algorithms,exploration,and exploitation,are designed by modeling bedbug social interaction to search for *** proposed algorithm is benchmarked qualitatively and quantitatively using many test functions including *** results of evaluating BMHA prove that this algorithm can improve the initial random population for a given optimization problem to converge towards global optimization and provide highly competitive results compared to other well-known optimization *** results also prove the new algorithm's performance in solving real optimization problems in unknown search *** achieve this,the proposed algorithm has been used to select the features of fake news in a semi-supervised manner,the results of which show the good performance of the proposed algorithm in solving problems.

关键词： Bedbug Meta-Heuristic Algorithm Optimization algorithm BMHA

A state-of-the-art review of the fabrication and characteristics of titanium and its alloys for biomedical applications

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Bio-Design and Manufacturing 2022年第2期5卷 371-395页

作者： Masoud Sarraf Erfan rezvani Ghomi Saeid Alipour Seeram Ramakrishna Nazatul Liana Sukiman Centre of Advanced Materials Department of Mechanical EngineeringFaculty of EngineeringUniversity of Malaya50603 Kuala LumpurMalaysia Department of Materials Science and Engineering Sharif University of TechnologyAzadi Ave.P.O.Box 11365‑9466TehranIran Center for Nanotechnology and Sustainability Department of Mechanical EngineeringNational University of SingaporeSingapore 117581Singapore

Commercially pure titanium and titanium alloys have been among the most commonly used materials for biomedical applications since the 1950 *** to the excellent mechanical tribological properties,corrosion resistance,biocompatibility,and antibacterial properties of titanium,it is getting much attention as a biomaterial for ***,titanium promotes osseointegration without any additional adhesives by physically bonding with the living bone at the implant *** properties are crucial for producing high-strength metallic alloys for biomedical *** alloys are manufactured into the three types ofα,β,andα+β.The scientific and clinical understanding of titanium and its potential applications,especially in the biomedical field,are still in the early *** review aims to establish a credible platform for the current and future roles of titanium in *** first explore the developmental history of ***,we review the recent advancement of the utility of titanium in diverse biomedical areas,its functional properties,mechanisms of biocompatibility,host tissue responses,and various relevant antimicrobial *** research will be directed toward advanced manufacturing technologies,such as powder-based additive manufacturing,electron beam melting and laser melting deposition,as well as analyzing the effects of alloying elements on the biocompatibility,corrosion resistance,and mechanical properties of ***,the role of titania nanotubes in regenerative medicine and nanomedicine applications,such as localized drug delivery system,immunomodulatory agents,antibacterial agents,and hemocompatibility,is investigated,and the paper concludes with the future outlook of titanium alloys as biomaterials.

关键词： Titanium and titanium alloys Biomedical application Functional properties Biocompatibility Antibacterial activity Advanced manufacturing

Enhancement of grid-connected photovoltaic system using ANFIS-GA under different circumstances

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Frontiers in Energy 2015年第3期9卷 322-334页

作者： Saeed VAFAEI Alireza rezvani Majid GANDOMKAR Maziar IZADBAKHSH Department of Electrical Engineering Saveh Branch Islamic Azad University Saveh Iran

In recent years, many different techniques are applied in order to draw maximum power from photo- voltaic （PV） modules for changing solar irradiance and temperature conditions. Generally, the output power generation of the PV system depends on the intermittent solar insolation, cell temperature, efficiency of the PV panel and its output voltage level. Consequently, it is essential to track the generated power of the PV system and utilize the collected solar energy optimally. The aim of this paper is to simulate and control a grid-connected PV source by using an adaptive neuro-fuzzy inference system （ANFIS） and genetic algorithm （GA） controller. The data are optimized by GA and then, these optimum values are used in network training. The simulation results indicate that the ANFIS-GA controller can meet the need of load easily with less fluctuation around the maximum power point （MPP） and can increase the convergence speed to achieve the MPP rather than the conventional method. Moreover, to control both line voltage and current, a grid side P/Q controller has been applied. A dynamic modeling, control and simulation study of the PV system is performed with the Matlab/Simulink program.

关键词： photovoltaic system maximum power point(MPP) adaptive neuro-fuzzy inference system (ANFIS),genetic algorithm (GA)

Exploration of Nonlinear Modeling Techniques to Predict the Retention Time of Organic Pollutants in Natural Water and Wastewater

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Chinese Journal of Structural Chemistry 2012年第11期31卷 1580-1588页

作者： zolfaghar Mehdizadeh Hamid Reza Lotfizadeh S.S.Mortazavi Hadi Noorizadeh Chief Executive Officer and Head of Ilam Regional Water Company Iran Faculty of Science Ilam Branch Islamic Azad University Ilam Iran Young Researchers Club Hamedan Branch Islamic Azad University Hamedan Iran Department of Chemistry Faculty of Sciences Arak Branch Islamic Azad University Arak Iran

Water pollution affects plants and organisms living in these bodies of water; and, in almost all cases the effect is damaging not only to individual species and populations, but also to the natural biological communities. Genetic algorithm and kernel partial least square （GA-KPLS） and Levenberg- Marquardt artificial neural network （L-M ANN） techniques were used to investigate the correlation between retention time （tR） and descriptors for 150 organic contaminants in natural water and wastewater, which are obtained by gas chromatography coupled to high-resolution time-of-flight mass spectrometry （GC-TOF MS）. The L-M ANN model gave a significantly better performance than the GA-KPLS model. This indicates that L-M ANN can be used as an alternative modeling toot for quantitative structure-retention relationship （QSRR） studies.

关键词： water samples organic pollutants gas chromatography time-of-flight massspectrometry QSRR Levenberg-Marquardt artificial neural network

Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and RBFNSM for wind turbine in the grid connected mode

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Frontiers in Energy 2019年第1期13卷 131-148页

作者： Alireza rezvani Ali ESMAEILY Hasan ETAATI Mohammad MOHAMMADINODOUSHAN Department of Electrical Engineering Saveh BranchIslamic Azad UniversitySaveh ***Iran Water and Power Resources Development Company(IWPCO)Iran Department of Electrical Engineering Karaj BranchIslamic Azad UniversityKaraj ***Iran Iran Water and Power Resources Development Company(IWPCO) Iran Department of Electrical Engineering Science and Research BranchIslamic Azad UniversityTehran ***Iran

Photovoltaic(PV)generation is growing increasingly fast as a renewable energy ***,the drawback of the PV system is intermittent because of depending on weather ***,the wind power can be considered to assist for a stable and reliable output from the PV generation system for loads and improve the dynamic performance of the whole generation system in the grid connected *** this paper,a novel topology of an intelligent hybrid generation system with PV and wind turbine is *** order to capture the maximum power,a hybrid fuzzy-neural maximum power point tracking(MPPT)method is applied in the PV *** average tracking efficiency of the hybrid fuzzy-neural is incremented by approximately two percentage points in comparison with the conventional *** pitch angle of the wind turbine is controlled by radial basis function network-sliding mode(RBFNSM).Different conditions are represented in simulation results that compare the real power values with those of the presented *** obtained results verify the effectiveness and superiority of the proposed method which has the advantages of robustness,fast response and good *** mathematical model and a control approach of a three-phase grid-connected intelligent hybrid system have been proposed using Matlab/Simulink.

关键词： photovoltaic wind turbine hybrid system fuzzy logic controller genetic algorithm RBFNSM

Deep oxidative desulfurization of gas oil based on sandwich-type polysilicotungstate supported β-cyclodextrin composite as an efficient heterogeneous catalyst

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Chinese Journal of Chemical Engineering 2019年第10期27卷 2418-2426页

作者： Mohammad Ali rezvani Sahar Khandan Negin Sabahi Hamid Saeidian Department of Chemistry Faculty of ScienceUniversity of ZanjanZanjanIran Department of Chemistry Payam Noor UniversityZanjanIran

In this work,in order to obtain deep clean gas oil,a novel organic–inorganic hybrid(n-C4H9)4N)7H5Si2W18Cd4O68@β-cyclodextrin(abbreviated as TBA-Si WCd@β-CD)composite was synthesized by supporting quaternary ammonium salt of sandwich-type polysilicotungstate onβ-cyclodextrin(TBA-SiWCd@β-CD)as an efficient catalyst for oxidative desulfurization(ODS)of gas *** successful composition of the materials explained by the formation of host–guest inclusion complex,which confirmed through FTIR,UV–vis,XRD,SEM,and EDX characterization *** results revealed that the levels of sulfur content and mercaptan compounds of gas oil lowered with 97%removal *** with the ODS treatment of gas oil,the TBA-Si WCd@β-CD composite showed an outstanding catalytic performance for the oxidation of dibenzothiophene(DBT)in the prepared model *** main factors that influence the desulfurization efficiency and the kinetic study of the ODS process were *** prepared heterogeneous catalyst was found to give remarkable reusability for five runs without a discernible decrease in its *** study suggested the potential application of the TBA-Si WCd@β-CD catalyst for removal of hazardous sulfur compounds from gas oil fuel.

关键词： Oxidative desulfurization Sandwich-type polyoxometalate β-Cyclodextrin Heterogeneous catalyst

Non-Iranian travelers may threaten malaria elimination in Iran

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Asian Pacific Journal of Tropical Medicine 2020年第6期13卷 281-282页

作者： Shahrzad Soltani Masoud Foroutan Aliasghar Valipour zolfaghar Sabati Fatemeh Hallajian Student Research Committee Abadan Faculty of Medical SciencesAbadanIran

Iran is considered as one of the malaria-endemic countries in the *** is estimated that approximately 80%of malaria infections happen only in two provinces,Sistan-Baluchestan and Hormozgan provinces(in southeast and south of Iran,respectively)[1].Based on formal reports,Iran is in the pre-elimination phase of the infection and elimination of malaria is the final goal,which is targeted by 2020[2].The total positive clinical cases dropped from 15378 to 960 between 2002 and 2017 in the country[1].There are seven anopheline species as primary or secondary vectors of malaria in Iran including,Anophele(An.)culicifacies Giles(s.l.),*** Patton,*** James(s.l.),*** Meigen(s.l.),*** Favre,*** Liston and *** Grassi(s.l.).These suitable vectors exist in several provinces[3].

关键词： malaria elimination clinical