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Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization:a case study in Central Vietnam

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International Journal of Digital Earth 2016年第11期9卷 1077-1097页

作者： Dieu Tien Bui binh Thai Pham Quoc Phi Nguyen Nhat-duc hoang Geographic Information System Group Department of Business Administration and Computer ScienceUniversity College of Southeast NorwayBøi TelemarkNorway Faculty of Geomatics and Land Administration Hanoi University of Mining and GeologyHanoiVietnam Department of Civil Engineering Gujarat Technological UniversityAhmedabadGujaratIndia Department of Geotechnical Engineering University of Transport TechnologyHa NoiVietNam Department of Environmental Sciences Hanoi University of Mining and GeologyHanoiVietnam Faculty of Civil Engineering Institute of Research and DevelopmentDuy Tan UniversityDanangVietnam

This study represents a hybrid intelligence approach based on the differential evolution optimization and Least-Squares Support Vector Machines for shallow landslide prediction,named as *** LSSVM is used to establish a landslide prediction model whereas the DE is adopted to search the optimal tuning parameters of the LSSVM *** this research,a GIS database with 129 historical landslide records in the Quy Hop area(Central Vietnam)has been collected to establish the hybrid *** receiver operating characteristic(ROC)curve and area under the curve(AUC)were used to assess the performance of the newly constructed *** results show that the proposed model has high performances with approximately 82%of AUCs on both training and validating *** model’s results were compared with those obtained from other methods,Support Vector Machines,Multilayer Perceptron Neural Networks,and J48 Decision *** result comparison demonstrates that the DE-LSSVMSLP deems best suited for the dataset at hand;therefore,the proposed model can be a promising tool for spatial prediction of rainfall-induced shallow landslides for the study area.

关键词： Shallow landslide Least-Squares Support Vector Machines differential evolution GIS Vietnam

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference system

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Frontiers of Structural and Civil Engineering 2023年第5期17卷 812-826页

作者： Long hoang NGUYEN Dung Quang VU duc Dam NGUYEN Fazal E.JALAL Mudassir IQBAL Vinh The DANG Hiep Van LE Indra PRAKASH binh Thai PHAM Faculty of Civil Engineering University of Transport TechnologyHanoi 10000Vietnam Department of Civil Engineering State Key Laboratory of Ocean EngineeringShanghai Jiao Tong UniversityShanghai 200025China Department of Civil Engineering University of Engineering and TechnologyPeshawar 25120Pakistan DDG(R)Geological Survey of India Gandhinagar 382010India

A falling weight deflectometer is a testing device used in civil engineering to measure and evaluate the physical properties of pavements,such as the modulus of the subgrade reaction(Y1)and the elastic modulus of the slab(Y2),which are crucial for assessing the structural strength of *** this study,we developed a novel hybrid artificial intelligence model,i.e.,a genetic algorithm(GA)-optimized adaptive neuro-fuzzy inference system(ANFIS-GA),to predict Y1 and Y2 based on easily determined 13 parameters of rigid *** performance of the novel ANFIS-GA model was compared to that of other benchmark models,namely logistic regression(LR)and radial basis function regression(RBFR)*** models were validated using standard statistical measures,namely,the coefficient of correlation(R),mean absolute error(MAE),and root mean square error(RMSE).The results indicated that the ANFIS-GA model was the best at predicting Y1(R=0.945)and Y2(R=0.887)compared to the LR and RBFR ***,the ANFIS-GA model can be used to accurately predict Y1 and Y2 based on easily measured parameters for the appropriate and rapid assessment of the quality and strength of pavements.

关键词： falling weight deflectometer modulus of subgrade reaction elastic modulus metaheuristic algorithms

Mutation-independent gene knock-in therapy targeting 5′UTR for autosomal dominant retinitis pigmentosa

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Signal Transduction and Targeted Therapy 2023年第4期8卷 1361-1363页

作者： duc Anh hoang Baoshan Liao Zongli Zheng Wenjun Xiong Department of Biomedical Sciences City University of Hong KongHong KongChina Key Laboratory of Biochip Technology Biotech and Health CentreShenzhen Research Institute of City University of Hong KongShenzhenChina TUNG Biomedical Sciences Centre City University of Hong KongHong KongChina Ming Wai Lau Centre for Reparative Medicine Karolinska InstitutetHong KongChina These authors contributed equally:Duc Anh HoangBaoshan Liao

Dear Editor,Retinitis pigmentosa(RP)is an inherited photoreceptor degeneration disease with high genetic heterogeneity(>90 disease-causing genes according to RetNet:https://***/RetNet/***).Taking a single RP disease gene RHO as an example,there are more than two hundred loss-of-function and gain-of-function mutations identified.1 While gene supplementation therapy has emerged as the most promising treatment for autosomal recessive RP(arRP)and X-linked RP(ClinicalTrials identifier:NCT01482195,NCT03328130,NCT03116113,NCT03252847,NCT03316560),therapeutic approaches to treat autosomal dominant RP(adRP)fall behind due to the low efficiency to disrupt mutant alleles specifically and a broad spectrum of the gain-of-function mutations.

关键词： autosomal degeneration identifier

Wedelolactone from Eclipta prostrata(L)*** inflammation and improves insulin resistance

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Asian Pacific Journal of Tropical Biomedicine 2024年第6期14卷 253-258页

作者： Trinh Tat Cuong Duong duc Thien hoang Hai Yen Nguyen Anh duc Trinh Quang Nam Do Viet Khanh Key Laboratory for Enzyme and Protein Technology Vietnam National University University of ScienceHanoiVietnam Faculty of Biology Vietnam National University University of ScienceHanoiVietnam Hanoi University of Pharmacy HanoiVietnam Vinschool HanoiVietnam

Objective:To evaluate the effects of wedelolactone,a major flavonoid from Vietnamese Eclipta prostrata(L)L.,on inflammation and insulin ***:Wedelolactone was extracted from the leaves of Vietnamese Eclipta prostrata(L.)*** methanol by *** effects of wedelolactone on lipopolysaccharide(LPS)-induced cytokine production,reactive oxygen species(ROS)generation,and nicotinamide adenine dinucleotide phosphate(NADPH)oxidase activities in Raw 264.7 cells were measured by enzyme-linked immunosorbent assay(ELISA),specific immunofluorescent dyes and luminometric analysis,*** addition,its effects on glucose uptake and the protein expression of insulin receptor substrate 1(IRS1)and glucose transporter 4(GLUT4)were examined in 3T3-L1 cells by immunofluorescent dyes and Western ***:Wedelolactone at 30μg/mL significantly inhibited LPS-induced production of tumor necrosis factor-α,interleukin(IL)-6,and IL-8(Pduced ROS generation and NADPH oxidase activities in LPS-stimulated Raw 264.7 cells(P<0.01).Furthermore,wedelolactone showed anti-insulin resistance activity,as evidenced by improved glucose uptake and the upregulated expression of IRS1 and GLUT4 in 3T3-L1 cells(P<0.01).Conclusions:Wedelolactone exhibits anti-inflammation and anti-insulin resistance effects,which may be used for the treatment of diabetes and inflammation-associated diseases.

关键词： Wedelolactone Eclipta prostrata Inflammatory responses Anti-insulin resistance Diabetes IRS1 GLUT4

Applying Wide & Deep Learning Model for Android Malware Classification

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Computer Systems Science & Engineering 2023年第6期45卷 2741-2759页

作者： Le duc Thuan Pham Van Huong hoang Van Hiep Nguyen Kim Khanh Ha Noi University of Science and Technology Ha Noi100000Viet Nam Academy of Cryptography Techniques Ha Noi100000Viet Nam

Android malware has exploded in popularity in recent years,due to the platform’s dominance of the mobile *** the advancement of deep learning technology,numerous deep learning-based works have been proposed for the classification of Android *** learning technology is designed to handle a large amount of raw and continuous data,such as image content ***,it is incompatible with discrete features,i.e.,features gathered from multiple ***,if the feature set is already well-extracted and sparsely distributed,this technology is less effective than traditional machine *** the other hand,a wide learning model can expand the feature set to enhance the classification *** maximize the benefits of both methods,this study proposes combining the components of deep learning based on multi-branch CNNs(Convolutional Network Neural)with wide learning *** feature set is evaluated and dynamically partitioned according to its meaning and generalizability to subsets when used as input to the model’s wide or deep *** proposed model,partition,and feature set quality are all evaluated using the K-fold cross validation method on a composite dataset with three types of features:API,permission,and raw *** accuracy with Wide and Deep CNN(WDCNN)model is 98.64%,improved by 1.38%compared to RNN(Recurrent Neural Network)model.

关键词： Wide and deep(W&D)learning convolutional neural network image feature raw features generalized features

A novel approach for synthesis of hierarchical mesoporous Nd2O3 nanomaterials

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Journal of Rare Earths 2017年第7期35卷 677-682页

作者： Le Huu Trinh Dinh Quang Khieu hoang Thai Long Tran Thai Hoa Duong Tuan Quang Nguyen duc Cuong College of Sciences Hue University 77 Nguyen Hue Hue City Viet Nam Faculty of Hospitality and Tourism Hue University 22 Lam Hoang Hue CityViet Nam College of Education Hue University 34 Le LoL Hue City Viet Nam

A novel route to the fabrication of hierarchical mesoporous Nd_2O_3 nanostructures including nanospheres and nanoporous network was described. Their structure and morphology evolution of the as-synthesized materials were determined by various techniques such as scanning electron microscopy, transmission electron microscopy, high-resolution transmission electron microscopy, X-ray diffraction, energy-dispersive X-ray spectroscopy, Fourier transforminfrared spectra, nitrogen adsorption/desorption isotherm, and a formation mechanism was proposed. The results revealed that the Nd_2O_3 nanospheres had the diameter of 300 nm, which were composed of small primary nanoparticles（NPs） with the size of 10 nm. The nanoporous structure also formed the NPs of ca. 10 nm which were connected with each other to form a three-dimensional（3D） texture. This simple and mild approach to fabricate hierarchical mesoporous Nd_2O_3 nanostructures could be easily scaled up and potentially extended to synthesize other oxide hierarchical structures.

关键词： Nd2O3 hierarchical nanostructures nanospheres nanoporous network rare earths

Green synthesis of three-dimensional magnesium ferrite/titanium dioxide/reduced graphene from Garcinia mangostana extract for crystal violet photodegradation and antibacterial activity

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Journal of Semiconductors 2023年第12期44卷 111-124页

作者： Tong hoang Lin Che Quang Cong Nguyen Thanh Hoai Nam hoang An Nguyen Duy Hai Ton That Buu Thoi Le Nhat binh hoang Le Minh Lam Thanh Ngan hoang Thuy Kim Ngan Du Chi Vi Ta Dang Khoa Nguyen Huu Hieu VNU-HCM Key Laboratory of Chemical Engineering and Petroleum Processing(Key CEPP Lab)Ho Chi Minh City University of Technology(HCMUT)268 Ly Thuong Kiet StreetDistrict 10Ho Chi Minh CityVietnam Faculty of Chemical Engineering Ho Chi Minh City University of Technology(HCMUT)268 Ly Thuong Kiet StreetDistrict 10Ho Chi Minh CityVietnam Vietnam National University Ho Chi Minh City(VNU-HCM) Linh Trung WardThu Duc CityVietnam

In this study,three-dimensional porous magnesium ferrite/titanium dioxide/reduced graphene oxide(Mg Fe_2O_(4)-GM/TiO_(2)/rGO(MGTG))was successfully synthesized via green and hydrothermal-supported co-precipitation methods using the extract of Garcinia mangostana(***)as a reducing *** characterization results indicate the successful formation of the nano/micro Mg Fe_(2)O_(4)(MFO)and TiO_(2) on the structure of the reduced graphene oxide(rGO),which can also act as efficient support,alleviating the agglomeration of the nano/micro MFO and TiO_(2).The synergic effects of the adsorption and photodegradation activity of the material were investigated according to the removal of crystal violet(CV)under ultraviolet *** effects of catalyst dosage,CV concentration,and p H on the CV removal efficiency of the MGTG were also *** to the results,the CV photodegradation of the MGTG-200 corresponded to the pseudo-first-order kinetic *** reusability of the material after 10 cycles also showed a removal efficiency of 92%.This happened because the materials can easily be recollected using external *** addition,according to the effects of different free radicals·O_(2)^(-),h^(+),and·OH on the photodegradation process,the photocatalysis mechanism of the MGTG was also thoroughly *** antibacterial efficiency of the MGTG was also evaluated according to the inhibition of the Gram-positive bacteria strain Staphylococcus aureus(***).Concurrently,the antibacterial mechanism of the fabricated material was also *** results confirm that the prepared material can be potentially employed in a wide range of applications,including wastewater treatment and antibacterial activity.

关键词： magnesium ferrite titanium dioxide reduced graphene oxide Garcinia mangostana photodegradation antibacterial

Fantastic Educational Gaps and Where to Find Them:LERB-A Model to Classify Inequity and Inequality

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Journal of International Education and Practice 2019年第4期2卷 19-28页

作者： Anh-duc hoang EdLab Asia Vietnam

In today’s world,education is less being considered as an outcome,but more as a *** the adventurers,our students are facing more and more complex ***,the socio-economic status of a student’s family seemed to be one of the biggest factors among inequality ***,the chaotic situation of today's VUCA world(volatility,uncertainty,complexity,and ambiguity)is generating more and more types of inequity and ***,the purpose of the study is to develop LERB-a simple model to classify inequity and inequality,as a stepping-stone to build a gap detection *** a structured literature review,the study identified the interconnection between equity and equality,as well as their transition toward students as an individual or as a group(s)and subgroup(s).The study can also be adapted to examine the correlation between different categories of equity,as well as to brainstorm and propose remedies to tackle those gaps.

关键词： Educational equity Educational equality LERB,Remedy VUCA world Emerging differences

Enhancing global hepatocellular carcinoma management:Bridging Eastern and Western perspectives on dexamethasone and Nacetylcysteine before transarterial chemoembolization

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World Journal of Gastroenterology 2024年第47期30卷 4983-4990页

作者： Thang Viet Luong Nam Van duc Nguyen Linh Duy Le Hieu Nguyen hoang Minh Hai Nguyen Ngoc Dang Department of Internal Medicine University of Medicine and PharmacyHue UniversityHue 530000Viet Nam Department of Diagnostic Imaging University of Medicine and PharmacyHue UniversityHue 530000Viet Nam Faculty of Medicine Duy Tan UniversityDa Nang 550000Viet Nam

This article explores the integration of Eastern and Western perspectives on the use of dexamethasone and N-acetylcysteine as premedications in transarterial chemoembolization for hepatocellular carcinoma(HCC).By examining key concerns raised by Western researchers,particularly regarding the different etiologies of liver cirrhosis,and contrasting them with robust clinical data from Asia,this article highlights the necessity for region-specific research and proposes future directions for global HCC management.

关键词： Hepatocellular carcinoma Transarterial chemoembolization Dexamethasone N-acetylcysteine East-West perspectives Post-embolization syndrome