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A magnetic adsorbent based on salicylic acid-immobilized magnetite nano-particles for pre-concentration of Cd(II) ions

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Frontiers of Chemical Science and Engineering 2021年第2期15卷 450-459页

作者： hossein Abdolmohammad-zadeh Arezu Salimi Analytical Spectroscopy Research Lab Department of ChemistryFaculty of SciencesAzarbaijan Shahid Madani UniversityTabriz ***Iran

In this research,an eco-friendly magnetic adsorbent based on Fe_(3)O_(4)/salicylic acid nanocomposite was fabricated using a facile one-pot co-precipitation *** crystalline and morphological characterization of the prepared nanocomposite was performed by field emission scanning electron microscopy,X-ray diffraction,and Fourier transform infrared *** nanocomposite was employed as a magnetic solid-phase extraction agent for separation of Cd(II)ions from synthetic *** experimental factors affecting the extraction efficiency were investigated and *** elution with acetic acid(pH 3.5),the pre-concentrated analyte was quantified by flame atomic absorption *** optimal conditions,a linear calibration graph was achieved in the concentration range of 0.2–30 ng·mL^(−1) with a determination coefficient(R^(2))of *** detection limit,the enhancement factor,inter-and intra-day relative standard deviations(for six consecutive extractions at the concentration level of 10 ng·mL^(−1))were 0.04 ng·mL^(−1),100,2.38%and 1.52%,*** evaluate the accuracy of the method,a certified reference material(NIST SRM 1643e)was analyzed,and there was a good agreement between the certified and the measured *** was successfully utilized to determine cadmium in industrial wastewater samples and the attained relative recovery values were between 96.8%and 103.2%.

关键词： cadmium magnetic solid-phase extraction Fe_(3)O_(4)nanoparticles Fe_(3)O_(4)/salicylic acid nanocomposite flame atomic absorption spectrometry

A new robust predictive model for lost circulation rate using convolutional neural network:A case study from Marun Oilfield

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Petroleum 2023年第3期9卷 468-485页

作者： Farshad Jafarizadeh Babak Larki Bamdad Kazemi Mohammad Mehrad sina Rashidi Jalil Ghavidel Neycharan Mehdi Gandomgoun Mohammad hossein Gandomgoun Department of Petroleum Engineering Amirkabir University of TechnologyTehranIran Department of Petroleum Engineering Omidiyeh Branch of Islamic Azad UniversityOmidiyehIran Science and Research Branch Islamic Azad UniversityTehranIran Faculty of Mining Petroleum and Geophysics EngineeringShahrood University of TechnologyShahroodIran Department of Information Technology and Computer Engineering Shahid Madani University of AzerbaijanTabrizIran Faculty of Petroleum Engineering Sahand University of TechnologyTabrizIran

A major cause of some of serious issues encountered in a drilling project,including wellbore instability,formation damage,and drilling string stuck e which are known to increase non-productive time(NPT)and hence the drilling cost e is what we know as mud *** mud loss can be prevented or at least significantly reduced by taking proper measures beforehand provided the position and intensity of such loss can be properly predicted using an accurate predictor ***,in this study,we used the convolutional neural network(CNN)and hybridized forms of multilayer extreme learning machine(MELM)and least square support vector machine(LSSVM)with the Cuckoo optimization algorithm(COA),particle swarm optimization(PSO),and genetic algorithm(GA)for modeling the mud loss rate based on drilling data,mud properties,and geological information of 305 drilling wells penetrating the Marun *** this purpose,we began by a pre-processing step to attenuate the effect of noise using the Savitzky-Golay *** whole set of available data was divided into the modeling(including 2300 data points)and the validation(including 483 data points)***,the second generation of the non-dominated sorting genetic algorithm(NSGA-Ⅱ)was applied to the modeling data to identify the most significant features for estimating the mud *** results showed that the prediction accuracy increased with the number of selected features,but the increase became negligible when the number of selected features exceeded ***,the following 9 features were selected as input to the intelligent algorithms(IAs):pump pressure,mud weight,fracture pressure,pore pressure,depth,gel 10 min/gel 10 s,fan 600/fan 300,flowrate,and formation *** of the hybrid algorithms and simple forms of LSSVM and CNN to the training data(80%of the modeling data,i.e.1840 data points)showed that all of the models tend to underestimate the mud loss at higher mud loss rates,although the CNN exhibited l

关键词： Lost circulation prediction Artificial intelligence Deep learning Feature selection

Magnesium/Nano-hydroxyapatite Composite for Bone Reconstruction: The Effect of Processing Method

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Journal of Bionic Engineering 2020年第1期17卷 92-99页

作者： Mohammad Khodaei Farahnaz Nejatidanesh Mohammad Javad Shirani Srinivasan Iyengar hossein sina Omid Savabi Department of Materials Science and Engineering Golpayegan University of TechnologyGolpayegan ***Iran Dental Materials Research Center Dental Research InstituteSchool of DentistryIsfahan University of Medical SciencesIsfahan ***Iran Post graduate student of Prosthodontics Student Research CommitteeSchool of DentistryIsfahan University of Medical SciencesIsfahan ***Iran Materials Engineering Division Faculty of EngineeringLund UniversityLund 11822100Sweden European Spallation Source ERIC Lund 17622100Sweden Dental Research Center Dental Research InstituteSchool of DentistryIsfahan University of Medical SciencesIsfahan ***Iran

Nano-ceramic particles can serve as reinforcing agents for metallic materials to improve their mechanical ***,it is important to ensure chemical compatibility between the matrix and *** the present study,magnesium composites with and without nano-hydroxyapatite(nHA)particles were fabricated for bone reconstruction *** different techniques were used,Conventional Sintering(CS)of powder compacts and Spark Plasma Sintering(SPS)of pre-compacted *** showed that a 10 wt%addition of nHA particles to magnesium,followed by SPS improved the compression strength by 27%.CS did not lead to any significant improvement compared to SPS processing.X-ray diffraction data after CS revealed the formation of unfavorable phases due to chemical reactions between nHA particles and the magnesium matrix,while these phases were absent after SPS *** mechanical properties of the specimens fabricated by CS were much inferior to those processed using *** shorter processing time associated with SPS leaded to reduced interaction between nHA particles and the Mg-matrix,compared to CS.

关键词： magnesium nano-hydroxyapatite composite materials in situ reaction biomedical-materials

Optimization of FX-70 refrigerant evaporative heat transfer and fluid flow characteristics inside the corrugated tubes using multi-objective genetic algorithm

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Chinese Journal of Chemical Engineering 2020年第8期28卷 2142-2151页

作者： Mirollah hosseini Hamid Hassanzadeh Afrouzi sina Yarmohammadi hossein Arasteh Davood Toghraie AJafarian Amiri Arash Karimipour Department of Mechanical Engineering Islamic Azad UniversityQaemshahr BranchQaemshahrMazandaranIran Faculty of Mechanical Engineering Babol Noshirvani University of TechnologyBabolIran Department of Mechanical Engineering Isfahan University of TechnologyIsfahanIran Department of Mechanical Engineering Khomeinishahr BranchIslamic Azad UniversityKhomeinishahrIran Sustainable Management of Natural Resources and Environment Research Group Faculty of Environment and Labour SafetyTon Duc Thang UniversityHo Chi Minh CityVietnam

In this study,the heat transfer optimization(evaporation)and the specification of the FX-70 zeotropic refrigerant flow inside a corrugated pipe have been *** the low HTC(HTC),this type of refrigerant is highly applicable in low or medium temperature engineering systems during the evaporation *** eliminate this defect,high turbulence and proper mixing are ***,using heat transfer(HT)augmentation methods will be necessary and *** order to find the most favorable operating conditions that lead to the optimum combination of pressure drop(PD)and HTC,empirical data,neural networks,and genetic algorithms(GA)for multi-objective(MO)(NSGA II)are *** investigate the mentioned cases,the geometric parameters of corrugated pipes,vapor quality,and mass velocity of refrigerant were *** results showed that with vapor quality higher than 0.8 and corrugation depth and pitch of 1.5 and 7 mm,respectively,we would achieve the desired optimum design.

关键词： Optimization Genetic algorithm Neural network Corrugated tube FX-70 refrigerant

Trace analysis of mefenamic acid in human serum and pharmaceutical wastewater samples after pre-concentration with Ni-Al layered double hydroxide nano-particles

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Journal of Pharmaceutical Analysis 2014年第5期4卷 331-338页

作者： hossein Abdolmohammad-zadeh Fatemeh Morshedzadeh Elaheh Rahimpour Department of Chemistry Faculty of SciencesAzarbaijan Shahid Madani University35 Km Tabriz-Marageh RoadP.O.Box 53714-161TabrizIran Department of Chemistry Payame Nour University of Tabriz

In this work, the nickel-aluminum layered double hydroxide （Ni-Al LDH） with nitrate interlayer anion was synthesized and used as a solid phase extraction sorbent for the selective separation and pre-concentration of mefenamic acid prior to quantification by UV detection at λmax ？ 286 nm. Extraction procedure is based on the adsorption of mefenamate anions on the Ni-Al（NO3？） LDH and/or their exchange with LDH interlayer NO3？ anions. The effects of several parameters such as cations and interlayer anions type in LDH structure, pH, sample flow rate, elution conditions, amount of nano-sorbent and co-existing ions on the extraction were investigated and optimized. Under the optimum conditions, the calibration graph was linear within the range of 2-1000 mg/L with a correlation coefficient of 0.9995. The limit of detection and relative standard deviation were 0.6 mg/L and 0.84% （30 mg/L, n ？ 6）, respectively. The presented method was successfully applied to determine of mefenamic acid in human serum and pharmaceutical wastewater samples.

关键词： Mefenamic acid Solid phase extraction Nano-sorbent Nickel-aluminum layereddouble hydroxide Ultraviolet spectroscopy

Regenerative Medicine: A Review of Solutions in the Treatment of Skin Defects

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Open Journal of Regenerative Medicine 2023年第2期12卷 97-113页

作者： Melika Heidarzadeh Kaveh Same Fatemeh Baghaie Nia Fatemeh Khavari sina Shahabi Mohammad hossein Nabian Saied Reza Mehrpour Mohammadabadi Center for Orthopedic Trans-Disciplinary Applied Research Tehran University of Medical Sciences Tehran Iran

The issue of skin defects is a major concern of almost every trauma surgeon after surgery. Despite numerous conventional methods and introduction of the reconstruction ladder, managing skin defects is still a challenge for the trauma surgeons. In recent years, parallel to the advances in the more conventional methods of skin repair, regenerative medicine has offered new and novel treatments. This article aims to explore these contemporary regenerative solutions as well as to review the conventional methods of treating skin defects.

关键词： Regenerative Medicine Skin Wound Defect

Thermal Analysis Simulation of Germanium Zone Refining Process Assuming a Constant Radio-Frequency Heating Source

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Chinese Physics Letters 2016年第5期33卷 123-126页

作者： Mahdi Ezheiyan hossein Sadeghi Mohammad-hossein Tavakoli Department of Physics Malek-Ashtar University of Technology Department of Physics Bu-Ali Sina University

Three-dimensional thermal a nalysis simulation of a horizontal zone refining system is conducted for germanimn semiconductor materials. The considered geometry includes a g＇ral）hite boat filled with germanium placed in a cylindrical quartz tube. A flow of Ar and H2 gas mixture is purged througll the tube. A narrow section of the, boat is assmned to be exposed to a constant heat rate produced b v an rf coil located outside the quartz tube. The results of this analysis provide essential information about various parameters such as the shape of tile molten zone, required power and temperature gradient in the system.

关键词： of on Thermal Analysis Simulation of Germanium Zone Refining Process Assuming a Constant Radio-Frequency Heating Source in is for

Some Results on Generalized Degree Distance

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Open Journal of Discrete Mathematics 2013年第3期3卷 143-150页

作者： Asma Hamzeh Ali Iranmanesh Samaneh hossein-zadeh Department of Mathematics Faculty of Mathematical Sciences Tarbiat Modares University Tehran Iran

In [1], Hamzeh, Iranmanesh and hossein-zadeh and M. V. Diudea recently introduced the generalized degree distance of graphs. In this paper, we present explicit formulas for this new graph invariant of the Cartesian product, composition, join, disjunction and symmetric difference of graphs and introduce generalized and modified generalized degree distance polynomials of graphs, such that their first derivatives at x = 1 are respectively, equal to the generalized degree distance and the modified generalized degree distance. These polynomials are related to Wiener-type invariant polynomial of graphs.

关键词： Generalized Degree Distance Cartesian Product Join Symmetric Difference Composition Disjunction

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单U型地埋管换热器的热性能

Journal of Central South University 2021年第11期28卷 3580-3598页

作者： Seyed Soheil MOUSAVI AJAROSTAGHI hossein JAVADI Seyed sina MOUSAVI Sébastien PONCET Mohsen POURFALLAH Faculty of Mechanical Engineering Babol Noshirvani University of TechnologyBabol 47148-71167Iran Faculty of Mechanical Engineering Mazandaran University of Science and TechnologyBabol 47166-85635Iran Faculty of Civil Engineering Babol Noshirvani University of TechnologyBabol 47148-71167Iran Department of Mechanical Engineering Universitéde Sherbrooke2500 Boulevard de l'UniversitéSherbrookeQuébecJ1K 2R1Canada

本文采用数值模拟的方法对单U型垂直地埋管换热器的热工性能进行了研究,计算了土壤孔隙率、充填材料的体积热容量、导热系数、入口体积流量和入口流体温度等参数对换热器热工性能的影响。从换热率的变化、有效热阻的变化以及地埋管换热... 详细信息

本文采用数值模拟的方法对单U型垂直地埋管换热器的热工性能进行了研究,计算了土壤孔隙率、充填材料的体积热容量、导热系数、入口体积流量和入口流体温度等参数对换热器热工性能的影响。从换热率的变化、有效热阻的变化以及地埋管换热器的效率等方面进行了讨论。结果表明,入口体积流量、入口流体温度和回填材料导热系数对地埋管换热器的热性能有显著影响,通过降低入口体积流量、提高回填材料导热系数和入口流体温度,出口流体温度明显降低。土壤孔隙率和回填材料容积热容对所研究的地埋管换热器热性能的影响可以忽略不计。当流体入口温度最低时,钻孔和土壤的有效热阻最大,传热速率和效率最低。此外,采用多元线性回归分析以建立预测单U型地埋管换热器热性能的最可行模型。

关键词：单U型地埋管换热器数值模拟换热率效率多元线性回归分析