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Correlating thermal conductivity of pure hydrocarbons and aromatics via perceptron artificial neural network (PANN) method

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Chinese Journal of Chemical Engineering 2017年第5期25卷 547-554页

作者： mostafa Lashkarbolooki Ali Zeinolabedini Hezave Mahdi Bayat School of Chemical Engineering Babol University of Technology Islamic Azad University Dashtestan Branch Department of Chemical Engineering Faculty of EngineeringUniversity of Bojnord

Accurate estimation of liquid thermal conductivity is highly necessary to appropriately design equipments in different industries. Respect to this necessity, in the current investigation a feed-forward artificial neural network(ANN) model is examined to correlate the liquid thermal conductivity of normal and aromatic hydrocarbons at the temperatures range of 257–338 K and atmospheric pressure. For this purpose, 956 experimental thermal conductivities for normal and aromatic hydrocarbons are collected from different previously published *** the modeling stage, to discriminate different substances, critical temperature(Tc), critical pressure(Pc)and acentric factor(ω) are utilized as the network inputs besides the temperature. During the examination, effects of different transfer functions and number of neurons in hidden layer are investigated to find the optimum network architecture. Besides, statistical error analysis considering the results obtained from available correlations and group contribution methods and proposed neural network is performed to reliably check the feasibility and accuracy of the proposed method. Respect to the obtained results, it can be concluded that the proposed neural network consisted of three layers namely, input, hidden and output layers with 22 neurons in hidden layer was the optimum ANN model. Generally, the proposed model enables to correlate the thermal conductivity of normal and aromatic hydrocarbons with absolute average relative deviation percent(AARD), mean square error(MSE), and correlation coefficient(R^2) of lower than 0.2%, 1.05 × 10^(-7) and 0.9994, respectively.

关键词： Thermal conductivity Artificial neural network Critical properties Hydrocarbons Aromatics

A new analytical solution for calculation the displacement and shear stress of fully grouted rock bolts and numerical verifications

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International Journal of Mining Science and Technology 2016年第6期26卷 1073-1079页

作者： Ghadimi mostafa Shariar Koroush Jalalifar Hossein Department of Mining Engineering Science and Research Branch Islamic Azad University Tehran *** Iran Faculty of Mining Metallurgy and Petroleum Engineering Amir Kabir University of Technology Tehran 158754413 Iran Department of Petroleum and Mining Engineering Shahid Bahonar University of Kerman Kerman *** Iran

In presence of difficult conditions in coal mining roadways, an adequate stabilization of the excavation boundary is required to ensure a safe progress of the construction. The stabilization of the roadways can be improved by fully grouted rock bolt, offering properties optimal to the purpose and versatility in use. Investigations of load transfer between the bolt and grout indicate that the bolt profile shape and spacing play an important role in improving the shear strength between the bolt and the surrounding strata. This study proposes a new analytical solution for calculation displacement and shear stress in a fully encapsulated rock bolt in jointed rocks. The main characteristics of the analytical solution consider the bolt profile and jump plane under pull test conditions. The performance of the proposed analytical solution, for three types of different bolt profile configurations, is validated by ANSYS software. The results show there is a good agreement between analytical and numerical methods. Studies indicate that the rate of displacement and shear stress from the bolt to the rock exponentially decayed. This exponential reduction in displacement and shear stress are dependent on the bolt characteristics such as: rib height, rib spacing, rib width and grout thickness, material and joint properties.

关键词： Fully grouted bolt Jointed rock Displacement Shear stress

A new approach to zinc–nickel separation using solution alkalinization method:application to a zinc plant residue

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Rare Metals 2020年第11期39卷 1341-1347页

作者： mostafa Aghazadeh Ghomi Javad Moghaddam Naghi Parvini Ahmadi Materials and Metallurgical Engineering Department Advanced Materials Research CenterSahand University of TechnologyTabriz51335-1996Iran Materials and Metallurgical Engineering Department University of ZanjanZanjan45371-38791Iran

The present investigation involves the separation of zinc and nickel from a sulfate solution using the acidic leaching of zinc plant residue after cadmium removal step as precursor(42.88 wt%Zn,8.50 wt%Cd and 2.33 wt%Ni).Separation of nickel from the solution was done by pouring it into a strong alkaline sodium hydroxide solution due to precipitation of nickel hydroxide and conversion of zinc to the soluble Zn(OH)_(4)^(2-)*** degrees of separation were reached by pouring more diluted solutions into the stronger alkaline *** clear pursue of the process,design of experimental methodology was applied for *** different washing steps on nickel-rich precipitates shows that the washing process decreases zinc content and thereby increases overall selectivity *** show that,at the optimized condition,Ni/Zn weight ratio in the solid product becomes about 104 times higher than the initial ratio in the initial feed solution and a nickel concentrate with 29.98 wt%Ni and 5.99 wt%Zn is *** the same time,the chemical analysis of filtrate shows only 4.4 mg·L^(-1)Ni in the alkaline zinc solution,which means that over 99%nickel is *** study on changes of zinc concentration with time shows that the process could be completed only after few minutes.

关键词： Zinc Nickel Precipitation Separation Alkalinization

Adaptive Control of a Two-Link Robot Using Batch Least-Square Identifier

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IEEE/CAA Journal of Automatica Sinica 2021年第1期8卷 86-93页

作者： mostafa Bagheri Iasson Karafyllis Peiman Naseradinmousavi Miroslav Krstić the Department of Mechanical and Aerospace Engineering University of California San Diego and San Diego State UniversityLa JollaCA 92037 USA the Department of Mathematics National Technical University of AthensAthina 10682Greece the Department of Mechanical Engineering San DiegoCA 92182 USA the Department of Mechanical and Aerospace Engineering University of California San DiegoLa JollaCA 92037 USA

We design a regulation-triggered adaptive controller for robot manipulators to efficiently estimate unknown parameters and to achieve asymptotic stability in the presence of coupled *** manipulators are widely used in telemanipulation systems where they are subject to model and environmental *** conventional control algorithms on such systems can cause not only poor control performance,but also expensive computational costs and catastrophic ***,system uncertainties need to be estimated through designing a computationally efficient adaptive control *** focus on robot manipulators as an example of a highly nonlinear *** a case study,a 2-DOF manipulator subject to four parametric uncertainties is ***,the dynamic equations of the manipulator are derived,and the corresponding regressor matrix is constructed for the unknown *** a general nonlinear system,a theorem is presented to guarantee the asymptotic stability of the system and the convergence of parameters'***,simulation results are discussed for a two-link manipulator,and the performance of the proposed scheme is thoroughly evaluated.

关键词： Backstepping least-square identifier robot manipulators trigger-based adaptive control

The effect of finite duration inputs on the dynamics of a system： Proposing a new approach for cancer treatment

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International Journal of Biomathematics 2015年第3期8卷 155-173页

作者： mostafa Nazari Ali Ghaffari Center of Excellence in Robotics and Control K. N. Toosi University of Technology Pardis St. Tehran 19697 64499 Iran Mechanical Engineering DepartmentK. N. Toosi University of TechnologyPardis St. Tehran 19697 64499 Iran

In this paper, a principal question regarding the effect of inputs on the characteristics of dynamic systems is discussed. Whether an input implemented only for a limited duration, can change the characteristics of a dynamic system such that the behavior of the free system, after eliminating the input, differs from that before acting the input？ In this paper, it is shown that a limited time acted input is not able to change the dynamical properties of a system after its elimination. Regarding the proposed approach, a novel finite duration treatment method is developed for a tumor-immune system. The vaccine therapy is used to change the parameters of the system and the chemotherapy is applied for pushing the system to the domain of attraction of the healthy state. For optimal chemotherapy, an optimal control is used based on state-dependent Riccati equation （SDRE）. It is shown that, in spite of eliminating the treatment （therapeutic inputs）, the system approaches to healthy state conditions. The present analysis suggests that a proper treatment method must change the dynamics of the cancer instead of only reducing the population of cancer cells.

关键词： Cancer stability changeable dynamic properties system.

Quantifying non-classical correlations under thermal effects in a double cavity optomechanical system

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Chinese Physics B 2020年第2期29卷 121-128页

作者： Mohamed Amazioug Larbi Jebli mostafa Nassik Nabil Habiballah Department of Physics Ecole Normale Supérieure(ENS)Mohammed V University in RabatMorocco LPHE-MS Department of PhysicsFaculty of SciencesMohammed V UniversityRabatMorocco EPTHE Department of PhysicsFaculty of SciencesIbn Zohr UniversityAgadirMorocco Faculty of Applied Sciences Ibn Zohr UniversityAit-MelloulMorocco Abdus Salam International Center for Theoretical Physics Strada Costiera1134151TriesteItaly

We investigate the generation of quantum correlations between mechanical modes and optical modes in an optomechanical system,using the rotating wave *** system is composed of two Fabry-Pérot cavities separated in space;each of the two cavities has a movable *** aim is the evaluation of entanglement between mechanical modes and optical modes,generated by correlations transfer from the squeezed light to the system,using Gaussian intrinsic entanglement as a witness of entanglement in continuous variables Gaussian states,and the quantification of the degree of mixedness of the Gaussian states using the ***,we quantify nonclassical correlations between mechanical modes and optical modes even beyond entanglement by considering Gaussian geometric discord via the Hellinger ***,entanglement,mixdness,and quantum discord are analyzed as a function of the parameters characterizing the system(thermal bath temperature,squeezing parameter,and optomechanical cooperativity).We find that,under thermal effect,when entanglement vanishes,purity and quantum discord remain ***,the Gaussian Hellinger discord is more robust than *** effects of the other parameters are discussed in detail.

关键词： cavity optomechanics quantum correlations Gaussian intrinsic entanglement purity Gaussian Hellinger discord Gaussian geometric discord

Relative(n,k)-Weak Cotorsion Modules

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Algebra Colloquium 2024年第3期31卷 481-498页

作者： mostafa Amini Houda Amzil Driss Bennis Department of Mathematics Faculty of SciencesPayame Noor UniversityTehranIran Department of Mathematics Faculty of Sciences EI Jadida Chouaib Doukkali UniversityMorocco Department of Mathematics Faculty of Sciences Mohammed V University in RabatMorocco

Let R be a ring and n,k be two non-negative *** an extension of several known notions,we introduce and study(n,k)-weak cotorsion modules using the class of right R-modules with n-weak fat dimensions at most *** exampl... 详细信息

关键词： (n,k)-weak cotorsion module n-weak injective module n-weak fat module n-super finitely presented module

Novel aspects for thermal stability studies and shelf life assessment of modified double-base propellants

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Defence Technology（防务技术） 2019年第3期15卷 300-305页

作者： Sherif Elbasuney Ashraf.M. A. Elghafour mostafa Radwan Ahmed Fahd Hosam mostafa Ramy Sadek Amr Motaz School of Chemical Engineering Military Technical College Kobry El-Kobba Cairo Egypt British University in Egypt Elshrouk city Cairo Egypt

Modified DB propellants, based on energetic nitramine(RDX) were manufactured by solventless extrusion process. Thermal stability and shelf life assessment of modified DB propellant were investigated. Shelf life assessment was evaluated using Van’t Hoff’s formula and artificial aging at 70℃ up to120 days. Quantification of total heat released and heat flow with aging time was conducted using differential scanning calorimetry(DSC) and thermal activity monitoring(TAMIII) respectively. Modified DB formulation based on 20 wt % RDX demonstrated enhanced thermal stability in terms of controlled heat flow, and slow decomposition reactions at elevated temperature. This formulation demonstrated extended service life up to 56 years compared with reference formulation. These novel finding was ascribed to the high thermal stability of RDX and its compatibility with DB constituents. This manuscript shaded the light on novel and effective approach for thermal stability via monitoring thermal activity with aging.

关键词： Double-base propellant Thermal stability Artificial aging Shelf-life assessment

Prediction of COVID-19 Transmission in the United States Using Google Search Trends

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Computers, Materials & Continua 2022年第4期71卷 1751-1768页

作者： Meshrif Alruily Mohamed Ezz Ayman Mohamed mostafa Nacim Yanes mostafa Abbas Yasser El-Manzalawy College of Computer and Information Sciences Jouf UniversitySakaka72314Saudi Arabia Faculty of Engineering Al-Azhar UniversityCairo11651Egypt Faculty of Computers and Informatics Zagazig UniversityZagazig44519Egypt RIADI Laboratory La Manouba UniversityManouba2010Tunisia Department of Translational Data Science and Informatics GeisingerDanvillePA17822USA

Accurate forecasting of emerging infectious diseases can guide public health officials in making appropriate decisions related to the allocation of public health *** to the exponential spread of the COVID-19 infection worldwide,several computational models for forecasting the transmission and mortality rates of COVID-19 have been proposed in the *** accelerate scientific and public health insights into the spread and impact of COVID-19,Google released the Google COVID-19 search trends symptoms open-access *** objective is to develop 7 and 14-day-ahead forecasting models of COVID-19 transmission and mortality in the US using the Google search trends for COVID-19 related ***,we propose a stacked long short-term memory(SLSTM)architecture for predicting COVID-19 confirmed and death cases using historical time series data combined with auxiliary time series data from the Google COVID-19 search trends symptoms *** the SLSTM networks trained using historical data only as the base models,our base models for 7 and 14-day-ahead forecasting of COVID cases had the mean absolute percentage error(MAPE)values of 6.6%and 8.8%,*** the other side,our proposed models had improved MAPE values of 3.2%and 5.6%,*** 7 and 14-day-ahead forecasting of COVID-19 deaths,the MAPE values of the base models were 4.8%and 11.4%,while the improved MAPE values of our proposed models were 4.7%and 7.8%,*** found that the Google search trends for“pneumonia,”“shortness of breath,”and“fever”are the most informative search trends for predicting COVID-19 *** also found that the search trends for“hypoxia”and“fever”were the most informative trends for forecasting COVID-19 mortality.

关键词： Forecasting COVID-19 transmission and mortality in the US stacked LSTM SARS-COV-2 and google COVID-19 search trends