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Spherical Fuzzy WASPAS-based Entropy Objective Weighting for International Payment Method Selection

Computers, Materials & Continua 2022年第7期72卷 2055-2075页

作者： Phi-Hung nguyen Thanh-Tuan Dang Kim-anh nguyen Hong-anh Pham Faculty of Business FPT UniversityHanoi100000Vietnam Department of Business Management National Taipei University of TechnologyTaipei1068Taiwan Department of Industrial Engineering and Management National Kaohsiung University of Science and TechnologyKaohsiung80778Taiwan

In international trade,exporters prefer to receive payments as quickly as possible,and importers want to make payments as late as *** this respect,the payment field,an essential condition for trade transactions,also represents the positions of exporters and importers *** addition,there are many cases in which various variables must be considered rather than only one specific variable representatively affecting payment,particularly in the case of import-export Small and Medium-Sized Enterprises(SMEs)from emerging countries.A selection of proper payment methods can be categorized as a Multi-Criteria Decision-Making(MCDM)***,this study aims to propose a novel and efficient Spherical Fuzzy Weighted Aggregated Sum Product Assessment based Entropy Objective Weighting method(SF-EW and WASPAS-SF)to evaluate international payment methods with uncertain ***,SF-EW model is applied to determine the relative weights of critical ***,international payment method alternatives are prioritized by the WASPAS-SF *** essential factors for four international payment methods are proposed based on experts’opinions and the existing literature.A real-world case study from Vietnamese import-export SMEs is presented to validate the applicability of the proposed *** results indicated that“Characteristics of payment method(PA)”had the most significant impact on international payment method *** comparison,“Letters of Credit(L/C)”was the most reliable payment method with the highest ranking available to international ***,a sensitivity analysis was performed to examine the validity and robustness of the proposed decision support ***,this study could contribute to international payment services and in the context of globalization and international trade.

关键词： International payment Vietnam MCDM spherical fuzzy theory entropy WASPAS

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A Grey Simulation-Based Fuzzy Hierarchical Approach for Diagnosing Healthcare Service Quality

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Computers, Materials & Continua 2023年第2期74卷 3231-3248页

作者： Phi-Hung nguyen Hong-anh Pham Faculty of Business FPT UniversityHanoi100000Vietnam

This study aims to assess and rank the service quality of the healthcare system utilizing a Fuzzy Analytical Hierarchical Process(Fuzzy AHP)andGreyRelationalAnalysis(Fuzzy GRA)*** this study,the six primary characteristics of healthcare service quality,comprising Tangibles(A),Healthcare Staff(B),Responsiveness(C),Relationships(D),Support Service(E),and Accessibility(F),are examined through a case study of 20 private and public hospitals in Hanoi,*** weighting results of Fuzzy AHP technique indicated that Responsiveness(C)has the highest ranking,followed by Relationships(D)and Healthcare Staff(B).Meanwhile,Tangibility has finally comprised the next priority for increasing satisfaction with the service quality in the healthcare ***,the highest service quality rankings are top 5 private hospitals via the Fuzzy GRA ***,this proposed approach may be applied to a complex decision-making process,which often makes sense with subjective data or imprecise information.

关键词： MCDM fuzzy sets AHP GRA healthcare Vietnam

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An Efficient Differential Evolution for Truss Sizing Optimization Using AdaBoost Classifier

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Computer Modeling in Engineering & Sciences 2023年第1期134卷 429-458页

作者： Tran-Hieu nguyen anh-Tuan Vu Hanoi University of Civil Engineering Hanoi100000Vietnam

Design constraints verification is the most computationally expensive task in evolutionary structural optimization due to a large number of structural analyses thatmust be *** a surrogatemodel to approximate the behavior of structures instead of the exact structural analyses is a possible solution to tackle this ***,most existing surrogate models have been designed based on regression *** paper proposes a novel method,called CaDE,which adopts a machine learning classification technique for enhancing the performance of the Differential Evolution(DE)*** proposed method is separated into two *** the first optimization stage,the original DE is implemented as usual,but all individuals produced in this phase are stored as inputs of the training *** on design constraints verification,these individuals are labeled as“safe”or“unsafe”and their labels are saved as outputs of the training *** collecting enough data,an AdaBoost model is trained to evaluate the safety state of *** model is then used in the second stage to preliminarily assess new individuals,and unpromising ones are rejected without checking design *** method reduces unnecessary structural analyses,thereby shortens the optimization *** benchmark truss sizing optimization problems are solved using the proposed method to demonstrate its *** obtained results show that the CaDE finds good optimal designs with less structural analyses in comparison with the original DE and four other DE *** reduction rate of five examples ranges from 18 to over 50%.Moreover,the proposed method is applied to a real-size transmission tower design problem to exhibit its applicability in practice.

关键词： Structural optimization machine learning surrogate model differential evolution AdaBoost classifier

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A hybrid machine learning model to estimate self-compacting concrete compressive strength

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Frontiers of Structural and Civil Engineering 2022年第8期16卷 990-1002页

作者： Hai-Bang LY Thuy-anh nguyen Binh Thai PHAM May Huu nguyen Civil Engineering Department University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

This study examined the feasibility of using the grey wolf optimizer(GWO)and artificial neural network(ANN)to predict the compressive strength(CS)of self-compacting concrete(SCC).The ANN-GWO model was created using 115 samples from different sources,taking into account nine key SCC *** validation of the proposed model was evaluated via six indices,including correlation coefficient(R),mean squared error,mean absolute error(MAE),IA,Slope,and mean absolute percentage *** addition,the importance of the parameters affecting the CS of SCC was investigated utilizing partial dependence *** results proved that the proposed ANN-GWO algorithm is a reliable predictor for SCC’s *** that,an examination of the parameters impacting the CS of SCC was provided.

关键词： artificial neural network grey wolf optimize algorithm compressive strength self-compacting concrete

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Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees and optimization algorithms

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Frontiers of Structural and Civil Engineering 2022年第10期16卷 1267-1286页

作者： Thuy-anh nguyen Hai-Bang LY Van Quan TRAN Department of Civil Engineering University of Transport TechnologyHanoi 100000Vietnam

Shear failure of slender reinforced concrete beams without stirrups has surely been a complicated occurrence that has proven challenging to adequately *** primary purpose of this work is to develop machine learning models capable of reliably predicting the shear strength of non-shear-reinforced slender beams(SB).A database encompassing 1118 experimental findings from the relevant literature was compiled,containing eight distinct *** Boosting(GB)technique was developed and evaluated in combination with three different optimization algorithms,namely Particle Swarm Optimization(PSO),Random Annealing Optimization(RA),and Simulated Annealing Optimization(SA).The findings suggested that GB-SA could deliver strong prediction results and effectively generalizes the connection between the input and output *** values and two-dimensional PDP analysis were then carried *** may use the findings in this work to define beam’s geometrical components and material used to achieve the desired shear strength of SB without reinforcement.

关键词： slender beam shear strength gradient boosting optimization algorithms

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Glucose measurement via Raman spectroscopy of graphene:Principles and operation

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Nano Research 2022年第10期15卷 8697-8704页

作者： Alireza Ahmadianyazdi ngoc Hoang Lan nguyen Jie Xu Vikas Berry Department of Mechanical and Industrial Engineering University of Illinois at ChicagoChicagoIllinois 60607USA Department of Chemical Engineering University of Illinois at ChicagoChicagoIllinois 60607USA

The sensitivity of graphene’s Raman characteristics to external perturbations can be exploited for sensing *** apply this principle,Raman spectroscopy of graphene in contact with a chemical/biological analyte is recorded to unravel a correlation between analyte’s physical/chemical/biological properties and electronic properties(Fermi energy and dopants level)of *** an example,we demonstrate the principle and operation of glucose measurement using graphene’s Raman spectroscopy,utilizing both affinity and enzymatic detection *** the affinity detection,we monitor Raman spectrum of graphene in contact with a glucose containing sample to quantify the attachment of glucose onto 1-pyrene boronic acid(PBA)functionalized *** is revealed that glucose covalent bond to PBA induces n-type doping in graphene and increases its Fermi level following the Hill–Langmuir *** the enzymatic detection,we show that graphene’s Fermi energy shifts due to the biocatalytic oxidation of glucose by immobilized glucose oxidase(GOx)*** a result,graphene becomes p-doped with increasing glucose *** attribute this sensitivity to a re-distribution of ionic charges within the electric double layer(EDL)of graphene upon introducing the glucose *** model explains both our affinity and enzymatic glucose detection *** glucose detection,our graphene Raman spectroscopy-based sensor(GRS)may extend its applications to a broader range of remote and non-invasive detection without the need to employ electronics such as field-effect transistors.

关键词： graphene Raman spectroscopy glucose affinity detection glucose oxidase

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Regularization of the Inverse Problem for Time Fractional Pseudo-parabolic Equation with Non-local in Time Conditions

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Acta Mathematica Sinica,English Series 2022年第12期38卷 2199-2219页

作者： nguyen Duc PHUONG Le Dinh LONG anh Tuan nguyen Dumitru BALEANU Faculty of Fundamental Science Industrial University of Ho Chi Minh CityVietnam Division of Applied Mathematics Science and Technology Advanced InstituteVanLang UniversityHoChi Minh CityVietnam Faculty of Technology Van Lang UniversityHo Chi Minh CityVietnam Department of Mathematics Cankaya UniversityAnkaraTurkey Lebanese AmericanUniversity BeirutLebanon Institute of Space Sciences Magurele-BucharestRomania

This paper is devoted to identifying an unknown source for a time-fractional diffusion equation in a general bounded ***,we prove the problem is non-well posed and the stability of the source ***,by using the Modified Fractional Landweber method,we present regularization solutions and show the convergence rate between regularization solutions and sought solution are given under a priori and a posteriori choice rules of the regularization parameter,***,we present an illustrative numerical example to test the results of our theory.

关键词： Source problem fractional pseudo-parabolic problem ill-posed problem convergence estimates regularization

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Optimum Design for the Magnification Mechanisms Employing Fuzzy Logic-ANFIS

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Computers, Materials & Continua 2022年第12期73卷 5961-5983页

作者： ngoc Thai Huynh Tien V.T.nguyen Quoc Manh nguyen Faculty of Automobile Technology Industrial University of Ho Chi Minh CityHo Chi Minh City70000Vietnam Faculty of Mechanical Technology Industrial University of Ho Chi Minh CityHo Chi Minh City70000Vietnam Faculty of Mechanical Engineering Hung Yen University of Technology and EducationHung Yen160000Vietnam

To achieve high work performance for compliant mechanisms of motion scope,continuous work condition,and high frequency,we propose a new hybrid algorithm that could be applied to multi-objective optimum *** this investigation,we use the tools of finite element analysis(FEA)for a magnificationmechanism to find out the effects of design variables on the magnification ratio of the mechanism and then select an optimal mechanism that could meet design requirements.A poly-algorithm including the Grey-Taguchi method,fuzzy logic system,and adaptive neuro-fuzzy inference system(ANFIS)algorithm,was utilized mainly in this *** FEA outcomes indicated that design variables have significantly affected on magnification ratio of the mechanism and verified by analysis of variance and analysis of the signal to noise of grey relational *** results are also predicted by employing the tool of ANFIS in *** conclusion,the optimal findings obtained:Its magnification is larger than 40 times in comparison with the initial design,the maximum principal stress is 127.89MPa,and the first modal shape frequency obtained 397.45 ***,we found that the outcomes obtained deviation error compared with predicted results of displacement,stress,and frequency are 8.76%,3.6%,and 6.92%,respectively.

关键词： Compliant mechanism grey relational analysis taguchi method multi-objective optimization fuzzy logic system adaptive neuro-fuzzy inference system(ANFIS)

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Orange G degradation by heterogeneous peroxymonosulfate activation based on magnetic MnFe_(2)O_(4)/α-MnO_(2) hybrid

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Journal of Environmental Sciences 2023年第2期124卷 379-396页

作者： Le Thi Thao To Van nguyen Van Quy nguyen ngoc Man Phan Ki Jae Kim nguyen Nhat Huy nguyen Trung Dung Faculty of Physical and Chemical Engineering Le Quy Don Technical UniversityHanoi 100000Vietnam Department of Energy Engineering Konkuk UniversitySeoul 05029Korea School of Chemical Engineering College of EngineeringSungkyunkwan UniversityJangan-guSuwon 16419Korea Faculty of Environment and Natural Resources Ho Chi Minh City University of Technology(HCMUT)Ho Chi Minh City 700000Vietnam Vietnam National University Ho Chi Minh City Linh Trung WardThu Duc CityHo Chi Minh City 700000Vietnam

Wastewater containing an azo dye Orange G(OG)causes massive environmental pollution,thus it is critical to develop a highly effective,environmental-friendly,and reusable catalyst in peroxymonosulfate(PMS)activation for OG *** this work,we successfully applied a magnetic MnFe_(2)O_(4)/α-MnO_(2) hybrid fabricated by a simple hydrothermal method for OG removal in *** characteristics of the hybrid were investigated by Xray diffraction,scanning electron microscopy,energy-dispersive X-ray spectroscopy,Fourier transform infrared spectroscopy,Brunauer–Emmett–Teller method,vibrating sample magnetometry,electron paramagnetic resonance,thermogravimetric analysis,and X-ray photoelectron *** effects of operational parameters(i.e.,catalytic system,catalytic dose,solution pH,and temperature)were *** results exhibited that 96.8% of OG degradation was obtained with MnFe_(2)O_(4)/α-MnO2(1:9)/PMS system in 30 min regardless of solution pH ***,the possible reaction mechanism of the coupling system was proposed,and the degradation intermediates of OG were identified by mass *** radical quenching experiments and EPR tests demonstrated that SO_(4)•̶,O_(2)•̶,and 1O2 were the primary reactive oxygen species responsible for the OG *** hybrid also displayed unusual stability with less than 30%loss in the OG removal after four sequential ***,magnetic MnFe2O4/α-MnO2 hybrid could be used as a high potential activator of PMS to remove orange G and maybe other dyes from wastewater.

关键词： MnFe_(2)O_(4)/α-MnO_(2) Peroxymonosulfate Orange G Catalytic degradation Reusability

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The global COVID-19 vaccine surplus:tackling expiring stockpiles

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Infectious Diseases of Poverty 2023年第2期12卷 106-111页

作者： nguyen Khoi Quan nguyen Le My anh Andrew W.Taylor-Robinson College of Health Sciences VinUniversityGia Lam DistrictHanoi100000Vietnam Faculty of Medicine Imperial College LondonLondonSW72AZUK Center for Global Health Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA

Background A global surplus of coronavirus disease 2019(COVID-19)vaccines exists as a result of difficulties in aligning the demand and supply for vaccine manufacturing and *** leaders have accelerated vaccine development,approval,production and distribution as a pragmatic approach to addressing the immediate public health challenges of the first two and a half years of the *** body The currently predominant,highly transmissible Omicron variant of severe acute respiratory syndrome coronavirus 2 has brought us closer to the threshold required to achieve herd immunity by greatly increasing rates of natural ***,in parallel with rising vaccination levels in industrialized nations,this indirectly reduces the need for mass vaccine *** concerns that contribute to low vaccination rates which persist in several other countries,particularly of the Global South,are vaccine hesitancy and unequal access to *** uncertainty fueled by fake news,misinformation,unfounded lay opinions and conspiracy theories has inevitably led to an erosion of public trust in *** To address the current mismatch between supply and demand of COVID-19 vaccines,there should be a focus on three principles:decelerating vaccine production,increasing distribution across communities,and optimizing cost-effectiveness of distribution *** down and switching from large-scale production to effectively‘made to order’is a feasible option,which should be commensurate with management *** and evidence-based data should be widely and freely disseminated to the public through multimedia channels to mitigate miscommunication and conspiracy *** of soon-to-expire stockpiles should be prioritized not only to enhance booster dose rollouts in adults but to expand immunization campaigns to children(especially those aged 5–11 years),subject to national *** research should ideally aim to de

关键词： COVID-19 SARS-CoV-2 Omicron Vaccination Immunization Vaccine surplus Vaccine hesitancy Vaccine reluctance Vaccine inequity

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