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Surface PEGylation of hollow mesoporous silica nanoparticles via aminated intermediate

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Progress in Natural Science:Materials International 2019年第6期29卷 612-616页

作者： thi Ngoc Tram nguyen Diem-huong nguyen-Tran Long Giang Bach Tran Hoang Du Truong Ngoc Thuy Trang Le Dai Hai nguyen Tra Vinh University Institute of Applied Materials Science Vietnam Academy of Science and Technology Graduate University of Science and Technology Vietnam Academy of Science and Technology nguyen Tat Thanh University 5. Institute of Research and Development Duy Tan University

A hybrid of organic/inorganic system, hollow mesoporous silica nanoparticles functionalized with poly(ethylene glycol), was synthesized in the presence of coupling agent and aminated ends. Doxorubicin(DOX) was used as a model drug to evaluate the effect of PEGylation on the loading capacity and release pattern of the *** with transmission electron microscopy(TEM) and scanning electron microscopy(SEM), X-ray diffraction(XRD), nitrogen adsorption-desorption, thermogravimetric analysis(TGA) and Fourier transformed infrared(FTIR) confirmed the PEG conjugation, as well as the amorphous mesoporous nature of the synthesized particles. Due to the capping effect of PEG molecules over the pores in the silica structure, the synthesized system was able to retain higher amount of cargo and establish a controlled manner when releasing.

关键词： Hollow mesoporous silica nanoparticles mPEG PEGylation Surface modification

An Analytical Approach for Nonlinear Buckling Analysis of Torsionally Loaded Sandwich Carbon Nanotube Reinforced Cylindrical Shells with Auxetic Core

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Advances in Applied Mathematics and Mechanics 2023年第2期15卷 468-484页

作者： Dang Thuy Dong nguyen thi Phuong Vu Hoai Nam Le Ngoc Ly nguyen Van Tien Vu Minh Duc Tran Quang Minh Vu Tho Hung nguyen thi huong Giang Faculty of Civil Engineering University of Transport TechnologyHanoi 100000Vietnam Graduate School of Advanced Science and Engineering Hiroshima University1-4-1 KagamiyamaHigashi-HiroshimaHiroshima 739-8527Japan Faculty of Fundamental Science for Engineering University of Transport TechnologyHanoi 100000Vietnam

The main aim of this paper is to present an analytical approach on the postbuckling for torsionally loaded sandwich carbon nanotube(CNT)reinforced cylindrical shells with the auxetic *** considered shells consist of three layers,external and internal CNT reinforced layers,and the auxetic lattice core made by isotropic *** homogenization model for honeycomb auxetic lattice core is utilized,and the equilibrium equations are formulated based on the nonlinear Donnell’s thin shell theory with von Karman geometrical *** three terms of deflection are considered,the Airy’s stress function and Galerkin’s method are utilized,the explicit expression of critical buckling of torsionally loaded shells and load-deflection expression of postbuckling states are *** effects of two carbon nanotube reinforced layers,the auxetic core layer,the volume fraction of carbon nanotube on the torsional buckling behavior are examined and remarked.

关键词： Nonlinear postbuckling carbon nanotube reinforced composite cylindrical shell torsion auxetic core

Modelling and Numerical Valuation of Power Derivatives in Energy Markets

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Advances in Applied Mathematics and Mechanics 2012年第3期4卷 259-293页

作者： Mai huong nguyen Matthias Ehrhardt Institut fur Mathematik Technische Universitat BerlinStrasse des 17.Juni 13610623 BerlinGermany Lehrstuhl fur Angewandte Mathematik und Numerische Analysis Fachbereich C-Mathematik und NaturwissenschaftenBergische Universitat WuppertalGaußstr.2042119 WuppertalGermany

In this work we investigate the pricing of swing options in a model where the underlying asset follows a jump diffusion *** focus on the derivation of the partial integro-differential equation(PIDE)which will be applied to swing contracts and construct a novel pay-off function from a tree-based pay-off matrix that can be used as initial condition in the PIDE *** valuing swing type derivatives we develop a theta implicit-explicit finite difference scheme to discretize the PIDE using a Gaussian quadrature method for the integral *** on known results for the classical theta-method the existence and uniqueness of solution to the new implicit-explicit finite difference method is *** numerical examples illustrate the usability of the proposed method and allow us to analyse the sensitivity of swing options with respect to model *** particular the effects of number of exercise rights,jump intensities and dividend yields will be investigated in depth.

关键词： Swing options jump-diffusion process mean-reverting Black-Scholes equation energy market partial integro-differential equation theta-method Implicit-Explicit-Scheme

Viral co-infections among children with confirmed measles at hospitals in Hanoi,Vietnam,2014

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Asian Pacific Journal of Tropical Medicine 2017年第2期10卷 164-167页

作者： Hang Le Khanh nguyen Loan Phuong Do Van Thanh thi Trieu Son Vu nguyen Phuong Vu Mai Hoang Hien thi Pham Thanh thi Le huong thi Thu Tran Cuong Duc Vuong Mai thi Quynh Le National Institute of Hygiene and Epidemiology No 1-Yesrsin streetHanoiVietnam

Objective:To characterize viral co-infections among representative hospitalized measles cases during the 2014 Hanoi ***:Throat swabs were collected from 54 pediatric patients with confirmed measles,and molecular diagnostics performed for 10 additional viral respiratory pathogens(Influenza A/H1N1pdm09;A/H3N2 and influenza B;Parainfluenza 1,2,3;Respiratory Synctial Virus,RSV;human Metapneumovirus,hM PV;Adenovirus and Picornavirus).Results:Twenty-one cases(38.9%) showed evidence of infection with other respiratory viruses:15 samples contained measles plus one additional virus,and 6 samples contained measles plus 2 additional *** was detected as a predominant cause of co-infections(13 cases;24.1%),followed by RSV(6 cases;11.1%),A/H1N1pdm09(3 cases;5.6%),PIV3(3 cases;3.7%),Rhinovirus(3 cases;3.7%) and hM PV(1 case;1.96%).Conclusions:Viral co-infections identified from pediatric measles cases may have contributed to increased disease severity and high rate of fatal *** treatment of measles cases may require control of multiple viral respiratory pathogens.

关键词： Measles virus Respiratory viruses Co-infection

Automatic Identification Fingerprint Based on Machine Learning Method

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Journal of the Operations Research Society of China 2022年第4期10卷 849-860页

作者： Long The nguyen huong Thu nguyen Alexander Diomidovich Afanasiev Tao Van nguyen Laboratory of Artificial Intelligence and Machine Learning Institute of Information Technology and Data ScienceIrkutsk National Research Technical UniversityIrkutskRussia Baikal School of BRICS Irkutsk National Research Technical UniversityIrkutskRussia University of Information and Communication Technology Thai Nguyen UniversityThai NguyenViet Nam

The fingerprint identification technology has been developed and applied effectively to security systems in financial transactions,personal information security,national security,and other *** this paper,we proposed the development of a fingerprint identification system based on image processing methods that clarify fingerprint contours,using machine learning methods to increase processing speed and increase the accuracy of the fingerprint identification *** identification system consists of the following main steps:improving image quality and image segmentation to identify the fingerprint area,extracting features,and matching the *** accuracy of the system reached 97.75%on the mixed high-and low-quality fingerprint database.

关键词： Fingerprint identification Feature extraction Image segmentation Wavelet transform Neural network algorithm Machine learning

Assessment of Post-Laparoscopic Cholecystectomy Pain at Viet Duc Hospital, Vietnam

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Health 2015年第3期7卷 346-354页

作者： Dan thi nguyen huong thi Thanh nguyen Hanoi Medical University Hanoi Vietnam Faculty of Nursing and Midwifery Hanoi Medical University Hanoi Vietnam

Gallstones are common and costly in the world. this disease also have high health burden with high mortality. Currently, Laparoscopic Cholecystectomy has become a gold standard for surgical treatment of symptomatic gallstones. Pain is usually the first concern after surgery. Postoperative pain decreases with time but it is severe enough to interfere with daily activities of patients. Pain after the surgery is also affected by many factors. this cross-sectional study aimed to 1) assess pain intensity and interference pain with daily activities;2) describe the association between pain intensity and interference with daily activities of patients;3) explore factors that influence post-operative pain after Laparoscopic Cholecystectomy. Data were collected by 50 patients who were undergoing Laparoscopic Cholecystectomy completed questionnaire including the Visual Analogue Scale (VAS) and the Brief Pain Inventory (BPI). Data were analyzed based on three aims. As this is the first time that this type of study is conducted in Vietnam, it is expected that the results will contribute significantly to local knowledge and should add to global perspectives. From understanding the factors that affect severity of pain, this study is expected to design nursing intervention strategies to improve daily activities among patients undergoing LC.

关键词： Gallstones Laparoscopic Cholecystectomy Pain Intensity Interference with Daily Activities

State Policy on the Environment in Vietnamese Handicraft Villages

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Chinese Business Review 2016年第6期15卷 290-295页

作者： nguyen thi Thu huong Hanoi Open University Hanoi Vietnam

Handicraft villages play an important role in promoting social and economic development in rural areas as well as Vietnam＇s economy. Nowadays, Vietnam＇s handicrafts have a foothold in the world market, and are exported over 163 countries and territories （Tuan, 2010）. However, the production activities of the handicraft village have a lot of shortcomings, especially the problem of environmental pollution （Chi, 2010）. Therefore, government policy plays a very important role to minimize environmental pollution villages, contributing to improving environmental quality and public health. this paper focuses on： 1）. Current status of state policy environment in handicraft villages shows the achievements and limitations of the policy, from which reviews state policy in environments in handicraft villages （through fieldwork in the handicraft villages）; and 2）. Solution to improve state policy on environmental protection in handicraft villages in Vietnam.

关键词： craft village state policy environmental policy

Prediction of Flash Flood Susceptibility of Hilly Terrain Using Deep Neural Network:A Case Study of Vietnam

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Computer Modeling in Engineering & Sciences 2023年第6期135卷 2219-2241页

作者： huong thi Thanh Ngo nguyen Duc Dam Quynh-Anh thi Bui Nadhir Al-Ansari Romulus Costache Hang Ha Quynh Duy Bui Sy Hung Mai Indra Prakash Binh Thai Pham University of Transport Technology Hanoi100000Vietnam Department of Civil Environmental and Natural Resources EngineeringLulea University of TechnologyLulea97187Sweden Department of Civil Engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National Institute for Research and Development Tulcea820112Romania Departement of Geodesy and Geomatics National University of Civil EngineeringHanoi100000Vietnam Faculty of Hydraulic Engineering National University of Civil EngineeringHanoi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India

Flash floods are one of the most dangerous natural disasters,especially in hilly terrain,causing loss of life,property,and infrastructures and sudden disruption of *** types of floods are mostly associated with landslides and erosion of roads within a short *** of Vietnamis hilly and mountainous;thus,the problem due to flash flood is severe and requires systematic studies to correctly identify flood susceptible areas for proper landuse planning and traffic *** this study,three Machine Learning(ML)methods namely Deep Learning Neural Network(DL),Correlation-based FeatureWeighted Naive Bayes(CFWNB),and Adaboost(AB-CFWNB)were used for the development of flash flood susceptibility maps for hilly road section(115 km length)of National Highway(NH)-6 inHoa Binh province,*** the proposedmodels,88 past flash flood events were used together with 14 flash floods affecting topographical and geo-environmental *** performance of themodels was evaluated using standard statisticalmeasures including Receiver Operating Characteristic(ROC)Curve,Area Under Curve(AUC)and Root Mean Square Error(RMSE).The results revealed that all the models performed well(AUC>0.80)in predicting flash flood susceptibility zones,but the performance of the DL model is the best(AUC:0.972,RMSE:0.352).Therefore,the DL model can be applied to develop an accurate flash flood susceptibility map of hilly terrain which can be used for proper planning and designing of the highways and other infrastructure facilities besides landuse management of the area.

关键词： Flash flood deep learning neural network(DL) machine learning(ML) receiver operating characteristic curve(ROC) Vietnam

Hybrid model to optimize object-based land cover classification by meta-heuristic algorithm:an example for supporting urban management in Ha Noi,Viet Nam

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International Journal of Digital Earth 2019年第10期12卷 1118-1132页

作者： Quang-Thanh Bui Manh Pham Van nguyen thi Thuy Hang Quoc-Huy nguyen nguyen xuan Linh Pham Minh Hai Tran Anh Tuan Pham Van Cu Center for Applied Research in Remote sensing and GIS(CARGIS) VNU University of ScienceHa NoiViet Nam VNU University of Science Ha NoiViet Nam Vietnam Institute of Geodesy and Cartography Ha NoiViet Nam Ministry of Education and Training Ha NoiViet Nam

this study proposed a novel object-based hybrid classification model named GMNN that combines Grasshopper Optimization Algorithm(GOA)and the multiple-class Neural network(MNN)for urban pattern detection in Hanoi,*** bands of SPOT 7 image and derivable NDVI,NDWI were used to generate image segments with associated attributes by PCI Geomatics *** segments were classified into four urban surface types(namely water,impervious surface,vegetation and bare soil)by the proposed ***,three training and validation datasets of different sizes were used to verify the robustness of this *** all tests,the overall accuracies of the classification were approximately 87%,and the Area under Receiver Operating Characteristic curves for each land cover type was ***,the performance of this model was examined by comparing several statistical indicators with common benchmark *** results showed that GMNN out-performed established methods in all comparable *** results suggested that our hybrid model was successfully deployed in the study area and could be used as an alternative classification method for urban land cover *** a broader sense,classification methods will be enriched with the active and fast-growing contribution of metaheuristic algorithms.

关键词： Urban remote sensing object-based classification neural network grasshopper optimization algorithm