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Journal of Semiconductors 2022年第12期43卷 22-31页

作者： van nang lam Thi Bich Vu Quang Dat Do Thi Thanh Xuan Le Tien Dai Nguyen T-Thanh-Bao Nguyen Hoang Tung Do Thi Tu Oanh Nguyen Department of Natural Sciences Hoa Lu UniversityNinh NhatNinh Binh CityViet Nam Institute of Theoretical and Applied Research Duy Tan UniversityHanoi 100000Viet Nam Faculty of Natural Sciences Duy Tan UniversityDa Nang 550000Vietnam Institute of Physics Vietnam Academy of Science and Technology10 Dao TanBa DinhHanoiVietnam Institute of Materials Science Vietnam Academy of Science and Technology18 Hoang Quoc VietCaugiayHanoiVietnam

We report on the synthesis of Sn-doped hematite nanoparticles(Sn-α-Fe_(2)O_(3) NPs)by the hydrothermal *** prepared Sn-α-Fe_(2)O_(3) NPs had a highly pure and well crystalline rhombohedral phase with an average particle size of 41.4 *** optical properties of as-synthesizedα-Fe_(2)O_(3) NPs show a higher bandgap energy(2.40-2.57 eV)than that of pure bulkα-Fe_(2)O_(3)(2.1 eV).By doping Sn intoα-Fe_(2)O_(3) NPs,the Sn-doped hematite was observed a redshift toward a long wavelength with in-creasing Sn concentration from 0%to 4.0%.The photocatalytic activity of Sn-dopedα-Fe_(2)O_(3) NPs was evaluated by Congo red(CR)dye *** degradation efficiency of CR dye using Sn-α-Fe_(2)O_(3) NPs catalyst is higher than that of pureα-Fe_(2)O_(3) *** highest degradation efficiency of CR dye was 97.8%using 2.5%Sn-dopedα-Fe_(2)O_(3) NPs catalyst under visible-light *** results suggest that the synthesized Sn-dopedα-Fe_(2)O_(3) nanoparticles might be a suitable approach to develop a photocatalytic degradation of toxic inorganic dye in wastewater.

关键词： α-Fe_(2)O_(3)nanoparticles Sn Congo red photocatalytic properties photodegradation

Detecting Tuberculosis from Vietnamese X-Ray Imaging Using Transfer Learning Approach

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Computers, Materials & Continua 2023年第3期74卷 5001-5016页

作者： Ha Manh Toan lam Thanh Hien Ngo Duc Vinh Do nang Toan Institute of Information Technology–Vietnam Academy of Science and Technology Hanoi10072Vietnam Lac Hong University Bien HoaDong Nai76120Vietnam Hanoi University of Industry Hanoi11915Vietnam

Deep learning created a sharp rise in the development of autonomous image recognition systems,especially in the case of the medical *** lung problems,tuberculosis,caused by a bacterium called Mycobacterium tuberculosis,is a dangerous disease because of its infection and *** an infected person coughs or sneezes,tiny droplets can bring pathogens to others through *** mainly damages the lungs,but it also affects any part of the ***,during the period of the COVID-19(coronavirus disease 2019)pandemic,the access to tuberculosis diagnosis and treatment has become more difficult,so early and simple detection of tuberculosis has been more and more *** our study,we focused on tuberculosis diagnosis by using the chestX-ray image,the essential input for the radiologist’s profession,and researched the effectiveness of the transfer learning approach in the case study of Vietnamese chest X-ray *** proposed four strategies to clarify our hypothesis in different ways of applying transfer learning and different training set *** also prepared a Vietnamese X-ray image dataset with the support of the VRPACS team to provide the basis for training and testing deep learning *** experiments were carried out by applying three different architectures,Alexnet,Resnet,and Densenet,on international,Vietnamese,and combined X-ray image *** training,all models were verified on a pure Vietnamese X-rays *** results show that transfer learning is suitable in the case study of Vietnamese chest X-ray images with high evaluating metrics in terms of AUC(Area under the Receiver Operating Characteristic Curve),sensitivity,specificity,and *** the best strategy,most of the scores were more than 0.93,and all AUCs were more than 0.98.

关键词： Tuberculosis diagnosis transfer learning Vietnamese chest X-ray

Optical and NH<sub>3</sub>Gas Sensing Properties of Hole-Transport Layers Based on PEDOT: PSS Incorporated with Nano-TiO<sub>2</sub>

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Materials Sciences and Applications 2017年第9期8卷 663-672页

作者： lam Minh Long Tran Quang Trung Vo-van Truong Nguyen nang Dinh University of Engineering and Technology VNU in Hanoi Hanoi Vietnam University of Natural Science VNU in HoChiMinh City Ho Chi Minh City Vietnam Department of Physics Concordia University Montreal Canada

Poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) incorporated with nanocrystalline TiO2 powder (PEDOT:PSS+nc-TiO2) films were prepared by spin-coating technique. SEM surface morphology, UV-Vis spectra and NH3 gas sensing of were studied. Results showed that the PEDOT:PSS+nc-TiO2 film with a content of 9.0 wt% of TiO2 is most suitable for both the hole transport layer and the NH3 sensing. The responding time of the sensor made from this composite film reached a value as fast as 20 s. The rapid responsiveness to NH3 gas was attributed to the efficient movement of holes as the major charge carriers in PEDOT:PSS+nc-TiO2 composite films. Useful applications in organic electronic devices like light emitting diodes and gas thin film sensors can be envisaged.

关键词： PEDOT:PSS+nc-TiO2 Composite UV-Vis Spectra J-V Characteristic Thermal Sensing Property Hole Transport Layer NH3 Gas Sensing

Random Coil Phosphorus Chemical Shifts of Deoxyribonucleic Acids

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Random Coil Phosphorus Chemical Shifts of Deoxyribonucleic A...

Predicting 3D Radiotherapy Dose-Volume Based on Deep Learning

第十三届全国波谱学学术会议

作者： Cheuk nang Ho Chit Wan Kwok Sik Lok lam Department of Chemistry The Chinese University of Hong KongShatinNew TerritoriesHong Kong. Department of Chemistry The Chinese University of Hong KongShatinNew TerritoriesHong Kong. Department of Chemistry The Chinese University of Hong KongShatinNew TerritoriesHong Kong.

＜正＞Phosphorus chemical shifts possess important structural information on the phosphodiester backbone of nucleic *** sequence and temperature effects on random coil DNA phosphorus chemical shifts have been investig...

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Intelligent Automation & Soft Computing 2024年第2期39卷 319-335页

作者： Do nang Toan lam Thanh Hien Ha Manh Toan Nguyen Trong Vinh Pham Trung Hieu Institute of Information Technology Vietnam Academy of Science and TechnologyHanoi10072Vietnam Faculty of Information Technology Lac Hong UniversityBien HoaDong Nai76120Vietnam

Cancer is one of the most dangerous diseaseswith *** of the principal treatments is radiotherapy by using radiation beams to destroy cancer cells and this workflow requires a lot of experience and skill from doctors and *** our study,we focused on the 3D dose prediction problem in radiotherapy by applying the deeplearning approach to computed tomography(CT)images of cancer *** image data has more complex characteristics than normal image data,and this research aims to explore the effectiveness of data preprocessing and augmentation in the context of the 3D dose prediction *** proposed four strategies to clarify our hypothesis in different aspects of applying data preprocessing and *** strategies,we trained our custom convolutional neural network model which has a structure inspired by the U-net,and residual blocks were also applied to the *** output of the network is added with a rectified linear unit(Re-Lu)function for each pixel to ensure there are no negative values,which are absurd with radiation *** experiments were conducted on the dataset of the Open Knowledge-Based Planning Challenge which was collected from head and neck cancer patients treatedwith radiation *** results of four strategies showthat our hypothesis is rational by evaluating metrics in terms of the Dose-score and the Dose-volume histogram score(DVH-score).In the best training cases,the Dose-score is 3.08 and the DVH-score is *** addition,we also conducted a comparison with the results of another study in the same context of using the loss function.

关键词： CT image 3D dose prediction data preprocessing augmentation

Tuberculosis Diagnosis and Visualization with a Large Vietnamese X-Ray Image Dataset

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Intelligent Automation & Soft Computing 2024年第2期39卷 281-299页

作者： Nguyen Trong Vinh lam Thanh Hien Ha Manh Toan Ngo Duc Vinh Do nang Toan Faculty of Information Technology Lac Hong UniversityBien HoaDong Nai76120Vietnam Institute of Information Technology Vietnam Academy of Science and TechnologyHanoi10072Vietnam Faculty of Information Technology Hanoi University of IndustryHanoi11915Vietnam

Tuberculosis is a dangerous disease to human life,and we need a lot of attempts to stop and reverse ***,in theCOVID-19 pandemic,access to medical services for tuberculosis has become very *** late detection of tuberculosis could lead to danger to patient health,even *** one of the countries heavily affected by the COVID-19 pandemic,andmany residential areas as well as hospitals have to be isolated for a long *** demands a fast and effective tuberculosis diagnosis solution to deal with the difficulty of accessingmedical services,such as an automatic tuberculosis diagnosis *** our study,aiming to build that system,we were interested in the tuberculosis diagnosis problem from the chest X-ray images of Vietnamese *** chest X-ray image is an important data type to diagnose tuberculosis,and it has also received a lot of attention from deep learning *** paper proposed a novel method for tuberculosis diagnosis and visualization using the deeplearning approach with a large Vietnamese X-ray image *** detail,we designed our custom convolutional neural network for the X-ray image classification task and then analyzed the predicted result to provide visualization as a *** prove the performance of our network model,we conducted several experiments to compare it to another study and also to evaluate it with the dataset of this *** support the implementation,we built a specific annotation system for tuberculosis under the requirements of radiologists in the Vietnam National Lung Hospital.A large experiment dataset was also from this hospital,and most of this data was for training the convolutional neural network *** experiment results were evaluated regarding sensitivity,specificity,and *** achieved high scores with a training accuracy score of 0.99,and the testing specificity and sensitivity scores were over *** on the X-ray image classification result,we visualize pr

关键词： Tuberculosis classification Vietnamese chest X-ray deep learning

Preparation and Characterization of Reduced Graphene-P3HT Composite Thin Films for Use as Transparent Conducting Electrodes

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Materials Sciences and Applications 2018年第5期9卷 464-472页

作者： lam Minh Long Dang Dinh Long Nguyen Phuong Hoai Nam Nguyen Trong Tinh Sergei Antonovic Chizhik Nguyen nang Dinh University of Engineering and Technology VNU in Hanoi Hanoi Vietnam Institute of Applied Physics and Scientific Instrument Vietnamese Academy of Science and Technology Hanoi Vietnam A.V. Luikov Heat and Mass Transfer Institute National Academy of Sciences of Belarus Minsk Belarus

With the aim of producing simple and effective transparent conducting electrodes, the conducting polymer poly(3-hexylthiophene) (P3HT) incorporated with reduced graphene oxide film (rGO) (called rGO-P3HT) was prepared by spin-coating method. Structural, electrical and optical characterization showed that rGO-P3HT films 9.0 wt% P3HT exhibited good stability when exposed to the ambient atmosphere. These composite films of 200 nm thickness possess a sheet resistance and transparency of R□~ 17Ω and T ~ 72%, respectively. Owing to containing conducting polymer, rGO-P3HT-coated glass could be efficiently used in photovoltaic applications, in organic solar cells in particular, with the replacement of the indium tin oxide (ITO) and fluorine tin oxide (FTO) electrodes.

关键词： Composite rGO-P3HT Thin Films Transparent Conducting Electrode Sheet Resistance Transmittance

Zirconium metal organic framework for design of tetragonal rare earth-doped zirconia nanoparticles

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Journal of Rare Earths 2019年第11期37卷 1230-1236页

作者： lam Thi Kieu Giang Lukasz Marciniak Krzysztof Kamil Zur Dinh Manh Tien Nguyen Vu Nguyen Thanh Binh Tran Kim Anh Le Quoc Minh Institute of Materials Science Vietnam Academy of Science and Technology18 Hoang Quoc VietCau GiayHanoiViet Nam Graduate University of Science and Technology Vietnam Academy of Science and Technology18 Hoang Quoc VietCau GiayHanoiViet Nam Institute of Low Temperature and Structural Research Polish Academy of Sciencesul.Okolna 250-422 WroclawPoland Faculty of Mechanical Engineering Bialystok University of TechnologyWiejska 45C15-351 BialystokPoland Institute of Applied Physics and Scientific Instrument Vietnam Academy of Science and Technology18 Hoang Quoc VietCau GiayHanoiViet Nam Duy Tan University 03 Quang TrungDa NangViet Nam

Zirconium metal-organic frameworks ZrOBDC(where BDC=C6H4(COOH)2,terephthalic acid)doped and co-doped with rare earth ions Ln(ZrOBDC:Ln^3+,where Ln^3+=Eu3+and Tb^3+as well as Er^3+and Yb^3+)were used as precursors for the design of tetragonal rare earth doped zirconia nanoparticles(t-ZrO2:Ln^3+NPs)through annealing ***,characterization and luminescence properties of ZrOBDC:Ln^3+and ZrO2:Ln^3+NPs were *** as-obtained t-ZrO2:Ln^3+NPs have high purity with an average size of 20-30 *** luminescence spectra of ZrOBDC:Tb^3+and ZrOBDC:Eu3+display strong green and red emission at around 544 and 611 nm which correspond to 5D4→7F5 and 5D0→7F2 transitions of Tb^3+and Eu3+ions,*** green and red up-conversion emissions of ZrO2:Er^3+,Yb^3+NPs due to 2H11/2,4S3/2→4I15/2 and 4F9/2→4I15/2 transitions of the Er^3+ions are observed under 976 nm laser excitation.

关键词： Zirconium Rare earth ZrOBDC ZrOBDC:Ln3+ ZrO2:Ln3+ Up-conversion

Partial substitution of fish meal by sesame oil cake(Sesamum indicum) in the diet of brown trout(Salmo trutta fario) and rainbow trout(Oncorhynchus mykiss) fry:an interspecific comparison

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Partial substitution of fish meal by sesame oil cake(Sesamum...

Time Series Forecasting of Hong Kong Inter-bank Offered Rate(HIBOR)using Exponential Smoothing State Space Model

The 14th International Symposium on Fish Nutrition & Feeding

作者： Tran Thi nang Thu Julien Henrotte Yvan Larondelle Xavier Rollin Laboratoire de Pisciculture Huet Institut des Sciences de la VieUCLouvainroute de Blocry2B-1348 Louvain-la-NeuveBelgium Faculty of Animal Sciences and Aquaculture Hanoi University of AgricultureTrau QuyGia LamHanoiVietnam

Our objectives were to test the potential replacement of fish meal by sesame oil cake(SOC) in high energy diets fed to rainbow trout(RT,Oncorhynchus mykiss) and brown trout(BT,Salmo trutta fario).Groups of trout(initial body weight(BW) of 1.42 g for RT and 1.48 g for BT) were fed to visual satiety with isonitrogenous(61 g digestible N kg dry matter(DM)) high-energy (22.1 MJ kg DM ) freeze-dried diets,in which fish meal was progressively replaced by SOC(0, 13,26,39 and 52%,on a N basis).Apparent digestibility coefficient(ADC) of the diets was determined using the indirect method.A growth trial was conducted over feeding 45 days at 15±0.6℃.Protein digestibility was high(91%) and was unaffected by either diet or *** of energy was reduced by 5.5%in both species when SOC replaced 52%of fish meal protein and was significantly higher in BT compared to *** rate increased when SOC progressively replaced fish meal until reaching a maximum at a substitution rate of 39%for RT and 26%for BT. In both species,DM intake(%BW day) linearly increased with substitution rate and feed efficiency was adversely affected by *** and energy retention efficiencies were little affected by diet(except in the 52%SOC diet for RT which showed significantly lower protein retention efficiency),but were significantly lower in BT compared to RT,especially energy retention efficiency(42.5-44.8%in RT vs.32.7-35.8%in BT).The positive effect of SOC on growth was mainly explained by a general increase in feed intake(2.54 and 3.23%BW day in RT and 1.73 and 2.10%in BT,for the fish meal control diet and the 52%SOC diet,respectively). From our results,it is concluded that SOC can substitute at least 52%of fish meal protein both in RT and in BT fry without negative effect in growth rate.

关键词： Sesame oil cake Rainbow trout Brown trout Digestibility Voluntary feed intake

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Economics World 2023年第1期10卷 43-48页

作者： Andy Tai Ka-ming lam Hong Kong Polytechnic University Hong KongChina Hong Kong nang Yan College of Higher Education Hong KongChina

This paper set out to analyze and forecast the Hong Kong Interbank Interest Rate(HIBOR)for a period 2006 to *** main objective of this study is to propose an appropriate time series forecasting model for *** conceptually captures the interaction between demand and supply of Hong Kong dollar in the interbank *** volatility of HIBOR reflects market sentiment,changes in underlying macroeconomic environment,random events and even political ***,the time series data of HIBOR appears to have multiple seasonality during the aforesaid *** TBATS model,the state space modeling framework developed by De Livera,Hyndman and Snyder(2010)is adopted for this study to improve the accuracy and efficiency of the time series modeling and forecasting of *** TBATS model incorporates Box-Cox transformations,Fourier representations with time varying coefficients,and ARMA error *** evaluation and analytical expressions for point forecasts and interval predictions under the assumption of Gaussian errors are derived,leading to a simple,comprehensive approach to forecasting complex seasonal time *** addition,the trigonometric formulation is used as a means of decomposing complex seasonal time series,which helps to identify and extract seasonal components which are otherwise not apparent in the time series plot *** performance of the TBATS model as evaluated by measures of forecast error are presented.

关键词： HIBOR forecast multiple seasonal