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An exploration of meteorological effects on PM_(2.5) air quality in several provinces and cities in Vietnam

Journal of Environmental Sciences 2024年第11期145卷 139-151页

作者： Giang Tran Huong Nguyen Luan Thien La Huy hoang-Cong anh hoang le Faculty of Chemistry and Environment Dalat UniversityLam Dong ProvinceVietnam Environmental Protection Agency Lam Dong Province Department of Natural Resources and EnvironmentLam Dong ProvinceVietnam Northern Center for Environmental Monitoring Environmental Pollution Control DepartmentHa Noi CityVietnam Faculty of Environment University of ScienceHo Chi Minh CityVietnam Vietnam National University Ho Chi Minh CityVietnam

Linking meteorology and air pollutants is a key *** study investigated meteorological effects on PM_(2.5)concentration using the advanced convergent cross mapping method,utilizing hourly PM_(2.5)concentration and six meteorological factors across eight provinces and cities in *** demonstrated that temperature(ρ=0.30)and radiation(ρ=0.30)produced the highest effects,followed by humidity(ρ=0.28)and wind speed(ρ=0.24),while pressure(ρ=0.22)and wind direction(ρ=0.17)produced the weakest effects on PM_(2.5)*** theρvalues showed that temperature,wind speed,and wind direction had greater impacts on PM_(2.5)concentration during the dry season whereas radiation had a more influence during the wet season;Southern stations experienced larger meteorological ***,humidity,pressure,and wind direction had both positive and negative influences on PM_(2.5)concentration,while radiation and wind speed mostly had negative *** PM_(2.5)pollution episodes,there wasmore contribution ofmeteorological effects on PM_(2.5)concentration indicated byρ*** contaminated levels,humidity(ρ=0.45)was the most dominant factor affecting PM_(2.5)concentration,followed by temperature(ρ=0.41)and radiation(ρ=0.40).Pollution episodes were pointed out to be more prevalent under higher humidity,higher pressure,lower temperature,lower radiation,and lower wind ***ρcalculation also revealed that lower temperature,lower radiation,and higher humidity greatly accelerated each other under pollution episodes,further enhancing PM_(2.5)*** findings contributed to the literature on meteorology and air pollution interaction.

关键词： Fine particulate matter Air pollution Meteorological effect Convergent cross mapping Causality analysis Vietnam

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Prediction of Shear Bond Strength of Asphalt Concrete Pavement Using Machine learning Models and Grid Search Optimization Technique

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 691-712页

作者： Quynh-anh Thi Bui Dam Duc Nguyen Hiep Van le Indra Prakash Binh Thai Pham Civil Engineering Department University of Transport Technology54 Trieu KhucThanh XuanHanoi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India

Determination of Shear Bond strength(SBS)at interlayer of double-layer asphalt concrete is crucial in flexible pavement *** study used three Machine learning(ML)models,including K-Nearest Neighbors(KNN),Extra Trees(ET),and Light Gradient Boosting Machine(LGBM),to predict SBS based on easily determinable input ***,the Grid Search technique was employed for hyper-parameter tuning of the ML models,and cross-validation and learning curve analysis were used for training the *** models were built on a database of 240 experimental results and three input variables:temperature,normal pressure,and tack coat *** validation was performed using three statistical criteria:the coefficient of determination(R2),the Root Mean Square Error(RMSE),and the mean absolute error(MAE).Additionally,SHAP analysis was also used to validate the importance of the input variables in the prediction of the *** show that these models accurately predict SBS,with LGBM providing outstanding ***(Shapley Additive explanation)analysis for LGBM indicates that temperature is the most influential factor on ***,the proposed ML models can quickly and accurately predict SBS between two layers of asphalt concrete,serving practical applications in flexible pavement structure design.

关键词： Shear bond asphalt pavement grid search optimization machine learning

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Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine learning Models

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 467-500页

作者： Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine learning Models Duc-Dam Nguyen Nguyen Viet Tiep Quynh-anh Thi Bui Hiep Van le Indra Prakash Romulus Costache Manish Pandey Binh Thai Pham Faculty of Civil Engineering University of Transport TechnologyThanh XuanHa Noi100000Vietnam Faculty of Hydraulic Engineering Hanoi University of Civil EngineeringHa Noi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India Research Institute of the University of Bucharest Bucharest050663Romania National Institute of Hydrology and Water Management Bucharest013686Romania Department of Civil Engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National Institute for Research and Development Tulcea820112Romania Marwadi University Research Center(MURC) Marwadi UniversityRajkotGujaratBharat360003India Department of Civil Engineering Faculty of Engineering&TechnologyMarwadi UniversityRajkotGujaratBharat360003India

This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble models that combined Radial Basis Function Networks(RBFN)with three ensemble learning techniques:DAGGING(DG),MULTIBOOST(MB),and ADABOOST(AB).This combination resulted in three distinct ensemble models:DG-RBFN,MB-RBFN,and ***,a traditional weighted method,Information Value(IV),and a benchmark machine learning(ML)model,Multilayer Perceptron Neural Network(MLP),were employed for comparison and *** models were developed using ten landslide conditioning factors,which included slope,aspect,elevation,curvature,land cover,geomorphology,overburden depth,lithology,distance to rivers and distance to *** factors were instrumental in predicting the output variable,which was the probability of landslide *** analysis of the models’performance indicated that the DG-RBFN model,with an Area Under ROC Curve(AUC)of 0.931,outperformed the other *** AB-RBFN model achieved an AUC of 0.929,the MB-RBFN model had an AUC of 0.913,and the MLP model recorded an AUC of *** results suggest that the advanced ensemble ML model DG-RBFN was more accurate than traditional statistical model,single MLP model,and other ensemble models in preparing trustworthy landslide susceptibility maps,thereby enhancing land use planning and decision-making.

关键词： Landslide susceptibility map spatial analysis ensemble modelling information values(IV)

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Flexible PVA/BMIMOTf/LLZTO composite electrolyte with liquid-comparable ionic conductivity for solid-state lithium metal battery

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Journal of Energy Chemistry 2022年第11期31卷 128-139,I0005页

作者： Hyesun Jeon Hai anh hoang Dukjoon Kim School of Chemical Engineering Sungkyunkwan UniversitySuwonGyeonggi 16419Republic of Korea

Poly(vinyl alcohol)(PVA)/1-butyl-3-methylimidazolium trifluoromethanesulfonate(BMIMOTf)/Li_(6.4)La_(3)Zr_(1.4)Ta_(0.6)O_(12)(LLZTO)solid-state composite electrolyte(SSCE)membranes were synthesized for solid-state lithium metal battery *** garnet-type LLZTO nanoparticles were surface-coated with the polydopamine layer of 8-10 nm thickness to enhance the dispersion status of LLZTO particles in the PVA *** hydrophilic BMIMOTf ionic liquid(IL)was added along with LLZTO nanoparticles to enhance the ionic conductivity and electrochemical stability of the SSCE *** synthesized composite electrolyte membrane containing 7 wt%of LLZTO and 60 wt%of BMIMOTf showed the outstanding Li+conductivity of 2×10^(-3)S cm^(-1)and the lithium transference number of 0.76 at room temperature in the firm and flexible solid state with the tensile strength of 8 *** a high single ion conduction characteristic led to the quite low interfacial resistance of 39Ωbetween the composite electrolyte and the lithium *** to these superior properties of composite membranes,the LiFePO_(4)|SSCE|Li cell exhibited an excellent discharge capacity of 165 mAh g^(-1)at 0.2 C,maintaining the coulombic efficiency of 98%after 100 cycles at room temperature.

关键词： Polymer-matrix composites(PMCs) Interface/interphase Surface treatments Solid-state lithium-ion batteries

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Fabrication and properties of high efficiency luminescent nanorods EuPO_4·H_2O by soft template method

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Journal of Rare Earths 2011年第12期29卷 1174-1177页

作者： Tran Thu Huong Tran Kim anh le Thi Vinh W.Strek hoang Thi Khuyen le Quoc Minh Institute of Materials Science Vietnam Academy of Science and Technology Department of Chemistry Hanoi University of Mining and Geology Institute of Low Temperature and Structure Research University of Engineering and Technology National University Hanoi

Europium orthophosphate monohydrate （EuPO4·H2O） nanorods with typical dimensions of about 10-30 nm in diameter and 300-500 nm in length were prepared by using the soft template method. The effects of using diethylene glycol （DEG） and polyethylene glycol （PEG） polymers as well as the pH values on the size, crystalline structure and morphology of EuPO4·H2O nanorods were investigated. Field emission scanning electron microscopy （FESEM） and X-ray diffraction （XRD） data of the prepared samples were elucidated. The nanorods were highly uniform and their mean length was reduced by using DEG and PEG as soft template agents. For all prepared samples, the rhabdophanetype hexagonal EuPO4·H2O was the dominated phase. The photoluminescence （PL） spectroscopy measurements of EuPO4·H2O nanorods revealed that, under UV excitation, EuPO4·H2O nanorods exhibited strong luminescence with narrow bands corresponding to the intra-4f transitions of ^5D0→^7Fj （j=1, 2, 3, 4） of Eu^3＋ ions. The peaks were found at 594 nm （^5D0→^7F1）, 619 nm （^5D0→^7F2）, 652 nm （^5D0→^7F3）, and 697 nm （^5D0→^7F4）, with the strongest emission at 594 nm.

关键词： soft template method EuPO4·H2O nanorods fluorescence rare earths

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Luminescent and magnetic properties of multifunctional europium(Ⅲ) complex based nanocomposite

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Journal of Rare Earths 2019年第11期37卷 1237-1241页

作者： hoang Thi Khuyen Nguyen Thanh Huong Tran Thu Huong Pham Thi Lien Do Thi anh Thu Nguyen Thi anh Huong Wieslaw Strek le Quoc Minh Institute of Materials Science Vietnam Academy of Science and Technology18 Hoang Quoc VietCau CiayHanoiViet Nam Graduate University of Science and Technology Vietnam Academy of Science and Technology18 Hoang Quoc VietCau GiayHanoiViet Nam Department of Chemistry University of Natural SciencesHanoi National University19 Le Thanh TongHoan KiemHanoiViet Nam Institute of Low Temperature and Structure Research PASOkolna 2Wroclaw 50-422Poland Duy Tan University K7/25 Quang TrungDa DangViet Nam

The luminescent rare earth(RE)complex based multifunctional nanocomposites offer new potential applications of multimodal imaging(magnetic resonance imaging(MRI),fluorescent bioimaging,etc.)that can be associated with therapeutic *** this study,we report some results obtained with novel multifunctional Fe3O4/Si-amine/Eu(NTA)3 nanocomposites that are composed of europium(Ⅲ)complex with 1-(2-naphthoyl)-3,3,3-trifluoroacetone ligands(NTA)(Eu(NTA)3)and superparamagnetic Fe3O4 *** nanocomposites were functionalized with an amine group for biomedicine *** multifunctional Fe3O4/Si-amine/Eu(NTA)3 nanocomposites exhibit both good magnetic behavior of Fe3O4 nanoparticles as a core and strong fluorescent property of europium(Ⅲ)*** characterizations were analyzed by XRD,SEM,EDX and FTIR *** optical properties were studied in detail by UV-VIS spectra and luminescent emission *** magnetic property was estimated by *** effect of concentrations of luminescent Eu(NTA)3 complex on luminescent and magnetic properties is discussed.

关键词： Multifunctional nanocomposite Luminescence Magnetic Europium(Ⅲ)complex Fe3O4 Rare earths

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IoT-Enabled Plant Monitoring System with Power Optimization and Secure Authentication

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Computers, Materials & Continua 2024年第11期81卷 3165-3187页

作者： Samsul Huda Yasuyuki Nogami Maya Rahayu Takuma Akada MdBiplob Hossain Muhammad Bisri Musthafa Yang Jie le hoang anh Green Innovation Center Okayama UniversityOkayama700-8530Japan Graduate School of Environmental LifeNatural Science and TechnologyOkayama UniversityOkayama700-8530Japan

Global food security is a pressing issue that affects the stability and well-being of communities *** existing Internet of Things(IoT)enabled plant monitoring systems have made significant strides in agricultural monitoring,they often face limitations such as high power consumption,restricted mobility,complex deployment requirements,and inadequate security measures for data *** paper introduces an enhanced IoT application for agricultural monitoring systems that address these critical *** system strategically combines power efficiency,portability,and secure access capabilities,assisting farmers in monitoring and tracking crop environmental *** proposed system includes a remote camera that captures images of surrounding plants and a sensor module that regularly monitors various environmental factors,including temperature,humidity,and soil *** implement power management strategies to minimize energy consumption compared to existing *** conventional systems,our implementation utilizes the Amazon Web Services(AWS)cloud platform for reliable data storage and processing while incorporating comprehensive security measures,including Two-Factor Authentication(2FA)and JSON Web Tokens(JWT),features often overlooked in current agricultural IoT *** can access this secure monitoring system via a developed Android application,providing convenient mobile access to the gathered plant *** validate our system’s advantages by implementing it with two potted garlic plants on Okayama University’s *** evaluation demonstrates high sensor reliabil-ity,with strong correlations between sensor readings and reference data,achieving determination coefficients(R2)of 0.979 for temperature and 0.750 for humidity *** implemented power management strategies extend battery life to 10 days on a single charge,significantly outperforming existing systems that typically require daily ***

关键词： Plant monitoring agriculture food security environmental monitoring IoT power management AWS secure access JWT

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Imperfect Channel State Information of AF and DF Energy Harvesting Cooperative Networks

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China Communications 2016年第10期13卷 11-19页

作者： hoang-Sy NGUYEN anh-Hoa BUI Dinh-Thuan DO Miroslav VOZNAK Wireless Communications Research Group Faculty of Electrical and Electronics Engineering Ton Duc Thang UniversityHo Chi Minh City Vietnam Eastern International University Binh Duong Province Vietnam Faculty of Electrical Engineering and Computer Science Technical University of Ostrava17. Listopadu 15/2172 70833 Ostrava Czech Republic

Wireless information and powered transfer networks(WIPT) has recently been implemented in 5th generation wireless networks. In this paper, we consider half-duplex relaying system in which the energy constrained relay node collects energy via radio frequency(RF) signals from the surrounding resources. Regarding energy harvesting protocol, we propose power time switching-based relaying(PTSR) architecture for both amplify-and-forward(AF) and decode-and-forward(DF). Especially, we reveal the analytical expressions of achievable throughput, ergodic capacity and energy-efficient in case of imperfect channel state information(CSI) for both AF and DF network. Through numerical analysis, we analyse the throughput performance, energy-efficient and ergodic capacity for different parameters, including power splitting ratio and energy harvesting time. Moreover, we also depict the performance comparison between AF and DF network with perfect and imperfect CSI. The results in numerical analysis reveal that the result of AF relaying network is less significant than DF relaying network in the various scenarios.

关键词： amplify-and-forward decode-and-forward energy harvesting throughput channel state information(CSI)

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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

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Antibiotic usage in surgical sperm retrievals among IVF centers

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Asian Journal of Andrology 2022年第6期24卷 633-638页

作者： le Dang Khoa Ngo Dinh Trieu Vy Nguyen Minh Tai Loc le Duc Thang Dang Tuan anh Nguyen Phuc Hieu Giang Huynh Nhu Nguyen Dinh Tao le hoang David J Handelsman IVFTA Tam Anh General HospitalHo Chi Minh 700000Vietnam IVFTA Tam Anh General HospitalHa Noi 100000Vietnam IVF Center 16A Ha Dong HospitalHa Noi 100000Vietnam ANZAC Research Institute University of Sydney and Concord Repatriation General HospitalHospital RoadConcordNSW 2139Australia

Surgical sperm retrieval(SSR)is currently one of the most common procedures in in vitro fertilization(IVF).However,a gap between the guidelines and routine clinical practice regarding antibiotic use in sSR,which might lead to antibiotic resistance,is a challenging problem worldwide.A cross-sectional survey was conducted from May 1,2021,to July 15,2021,to investigate antibiotic usage by medical professionals when performing SSR in IVF centers in *** confidential questionnaire comprised 12 items,including characteristics of the study population,awareness of antimicrobial resistance,attitude toward prescribing antibiotics,and current practice of prescribing antibiotics when performing *** were completed by 30 of 45 registered IVF centers(66.7%).Among 67 physicians working at those centers,the age and work-experience years(mean±standard deviation[s.d.])were 38.6±6.6 years and 11.2±7.0 years,*** 60%of them held a degree in Obstetrics and Gynecology,and over four-fifths were *** respondents"often/very often/always"raised awareness of antimicrobial resistance to their patients(83.3%),but only half of them"often/occasionally"prescribed antibiotics to patients with SSR in cases where the prescription would be *** one-tenth of respondents followed the recommendation from the American Urological Association using"prophylaxis only"for SSR *** more invasive SSR,physicians tended to prescribe more complicated and sometimes inappropriate *** conclusion,antibiotic usage in SSR was not always appropriate among IVF *** studies may define specific recommendations for regimens,intervention strategies,and programs to promote appropriate antibiotic use for SSR patients among IVF specialists.

关键词： antibiotic usage in vitro fertilization prophylaxis surgical sperm retrieval treatment

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