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| 1 | Stable Vertical Takeoff of an Insect-Mimicking Flapping-Wing System Without Guide Implementing Inherent Pitching Stability显示文摘 | Hoang Vu Phan Quoc Viet Nguyen Quang Tri Truong Tien Van Truong Hoon Cheol Park Nam Seo Goo Doyoung Byun Min Jun Kim | 2012 | Journal of Bionic Engineering2012，9，4： | 16 |
| 2 | 绿肥间作对茶树根际土壤真菌群落的影响显示文摘通过IonS5TM XL高通量测序技术探讨了茶园间作光叶苕子-茶肥1号(CF)、湘野豌1号-田菁(TJ)、肥田萝卜-圆叶决明(JM)对茶树根际土壤真菌群落结构特征和土壤养分的影响。结果表明:与对照(无间作)相比,间作绿肥提高了土壤有机质、全氮、碱解氮、有效磷和速效钾的含量,其提高幅度分别为1.19%~23.79%、0.87%~12.17%、4.37%~14.34%、23.08%~62.12%和7.70%~44.06%。茶树根际土壤真菌Shannon指数和Chaos指数的变化趋势均为TJ>CK>JM>CF,其中TJ与CF处理间差异显著(P<0.05),其他处理间差异不显著(P>0.05)。被孢霉门(Mortierellomycota)、子囊菌门(Ascomycota)和担子菌门(Basidiomycota)为茶树根际土壤中三大优势真菌门,绿肥间作提高了担子菌门的相对丰度,降低了球囊菌门(Glomeromycota)和罗兹菌门(Rozellomycota)的相对丰度;被孢霉纲(Mortierellomycetes)、银耳纲(Tremellomycetes)和粪壳菌纲(Sordariomycets)为三大优势菌纲;沙蜥属(Saitozyma)、被孢霉属(Mortierell)和镰刀霉属(Fusarium)为3大优势菌属。冗余(RDA)分析结果显示,土壤全磷、有效磷、有机质、全氮和碱解氮影响茶树根际土壤真菌群落结构。经FUNGuild软件平台分析显示,茶树根际包含如下生态功能群:未定义腐生菌、丛枝菌根、真菌寄生菌、木质腐生菌、动物病原菌、植物病原菌、外生真菌等。茶园间作绿肥翻埋还田,能有效调节茶树根际土壤真菌群组成,改善茶园土壤生态环境,是实现茶叶绿色可持续发展的重要措施。 | 傅海平 周品谦 王沅江 莫泽东 李泽恒 马青平 Hoang Ha Nguyen 黎星辉 | 2020 | 茶叶通讯2020，47，3： | 15 |
| 3 | Genetic variants of interferon regulatory factor 5 associated with chronic hepatitis B infection显示文摘AIM To investigate possible effects of IRF5 polymorphisms in the 3' UTR region of the IFR5 locus on susceptibilityto hepatitis B virus(HBV) infection and progression of liver diseases among clinically classified Vietnamese patients.METHODS Four IFR5 SNPs(rs13242262 A/T, rs77416878 C/T, rs10488630 A/G, and rs2280714 T/C) were genotyped in clinically classified HBV patients [chronic hepatitis B(CHB). n = 99; liver cirrhosis(LC), n = 131; hepatocellular carcinoma(HCC), n = 149] and in 242 healthy controls by direct sequencing and Taq Man realtime PCR assays. RESULTS Comparing patients and controls, no significant association was observed for the four IFR5 variants. However, the alleles rs13242262 T and rs10488630 G contributed to an increased risk of liver cirrhosis(LC vs CHB: OR = 1.5, 95%CI: 1.1-2.3, adjusted P = 0.04; LC vs CHB: OR = 1.7, 95%CI: 1.1-2.6, adjusted P = 0.019). Haplotype IRF5*TCGT constructed from 4 SNPs was observed frequently in LC compared to CHB patients(OR = 2.1, 95%CI: 1.2-3.3, adjusted P = 0.008). Haplotype IRF5*TCAT occurred rather among CHB patients than in the other HBV patient groups(LC vs CHB: OR = 0.4, 95%CI: 0.2-0.8, adjusted P = 0.03; HCC vs CHB: OR = 0.3, 95%CI: 0.15-0.7, adjusted P = 0.003). The IRF5*TCAT haplotype was also associated with increased levels of ALT, AST and bilirubin. CONCLUSION Our study shows that IFR5 variants may contribute as a host factor in determining the pathogenesis in chronic HBV infections. | Bui Tien Sy Nghiem Xuan Hoan Hoang Van Tong Christian G Meyer Nguyen Linh Toan Le Huu Song Claus-Thomas Bock Thirumalaisamy P Velavan | 2018 | World Journal of Gastroenterology2018，24，2： | 9 |
| 4 | Prediction of flyrock distance induced by mine blasting using a novel Harris Hawks optimization-based multi-layer perceptron neural network显示文摘In mining or construction projects,for exploitation of hard rock with high strength properties,blasting is frequently applied to breaking or moving them using high explosive energy.However,use of explosives may lead to the flyrock phenomenon.Flyrock can damage structures or nearby equipment in the surrounding areas and inflict harm to humans,especially workers in the working sites.Thus,prediction of flyrock is of high importance.In this investigation,examination and estimation/forecast of flyrock distance induced by blasting through the application of five artificial intelligent algorithms were carried out.One hundred and fifty-two blasting events in three open-pit granite mines in Johor,Malaysia,were monitored to collect field data.The collected data include blasting parameters and rock mass properties.Site-specific weathering index(WI),geological strength index(GSI) and rock quality designation(RQD)are rock mass properties.Multi-layer perceptron(MLP),random forest(RF),support vector machine(SVM),and hybrid models including Harris Hawks optimization-based MLP(known as HHO-MLP) and whale optimization algorithm-based MLP(known as WOA-MLP) were developed.The performance of various models was assessed through various performance indices,including a10-index,coefficient of determination(R^(2)),root mean squared error(RMSE),mean absolute percentage error(MAPE),variance accounted for(VAF),and root squared error(RSE).The a10-index values for MLP,RF,SVM,HHO-MLP and WOA-MLP are 0.953,0.933,0.937,0.991 and 0.972,respectively.R^(2) of HHO-MLP is 0.998,which achieved the best performance among all five machine learning(ML) models. | Bhatawdekar Ramesh Murlidhar Hoang Nguyen Jamal Rostami XuanNam Bui Danial Jahed Armaghani Prashanth Ragam Edy Tonnizam Mohamad | 2021 | Journal of Rock Mechanics and Geotechnical Engineering2021，13，6： | 6 |
| 5 | Synthesis and characterization of NaYF4:Yb3+,Er3+@silica-N=folic acid nanocomplex for bioimaginable detecting MCF-7 breast cancer cells显示文摘Upconversion nanophosphors are new promising nanomaterials to be used as biolabels for detection and imaging of cancer cells.These nanophosphors absorb long-wavelength excitation radiation in the infrared or near infrared region and emit shorter wavelength,higher energy radiation from ultraviolet to infrared.In this paper,we studied the hydrothermal method and optical properties of the functionalized NaYF4:Yb^3+,Er^3+for biomedical application.After synthesis,these NaYF4:Yb^3+,Er^3+nanophosphors were functionalized with aminosilanes and folic acid.Folic acid binds to the folate receptor on the surface of MCF-7 breast cancer cells and this binding promotes internalization of the nanophosphors via endocytosis.The sizes of the functionalized NaYF4:Yb^3+,Er^3+@silica-N=FA(folic acid)nanophosphors can be controlled with length of the rod about 300-800 nm and diameter of the rod about 100-200 nm.Phase structure of NaYF4:Yb^3+,Er^3+is in hexagonal crystal system.The photo luminescence(PL)spectra of the functionalized NaYF4:Yb^3+,Er^3+@silica-N=FA nanophosphors were measured.These nanophosphors emit in red color with the strongest band at 650 nm under 980 nm excitation.This result can provide NaYF4:Er^3+,Yb^3+@silica-N=FA complex for developing fluorescence label and image tool in cancer biology and medicine. | Ha Thi Phuong Tran Thu Huong Le Thi Vinh Hoang Thi Khuyen Do Thi Thao Nguyen Thanh Huong Pham Thi Lien Le Quoc Minh | 2019 | Journal of Rare Earths2019，37，11： | 5 |
| 6 | Xanthine oxidase inhibitors from Archidendron clypearia(Jack.) I.C. Nielsen: Results from systematic screening of Vietnamese medicinal plants显示文摘Objective: To screen Vietnamese medicinal plants for xanthine oxidase(XO) inhibitory activity and to isolate XO inhibitor(s) from the most active plant. Methods: The plants materials were extracted by methanol. The active plant materials were fractionated using different organic solvents, including n-hexane, ethyl acetate, and n-butanol. Bioassay-guided fractionation and column chromatography were used to isolate compounds. The compounds structures were elucidated by analysis of spectroscopic data, including IR, MS, and NMR. Results: Three hundreds and eleven methanol extracts(CME) belonging to 301 Vietnamese herbs were screened for XO inhibitory activity. Among these plants, 57 extracts displayed XO inhibitory activity at 100 μg/m L with inhibition rates of over 50%. The extracts of Archidendron clypearia, Smilax poilanei, Linociera ramiflora and Passiflora foetida exhibited the greatest potency with IC_(50) values below 30 μg/m L. Chemical study performed on the extract of Archidendron clypearia resulted in the isolation of six compounds, including 1-octacosanol, docosenoic acid, daucosterol, methyl gallate, quercitrin and(-)-7-O-galloyltricetiflavan. The compound(-)-7-O-galloyltricetiflavan showed the most potent XO inhibitory activity with an IC_(50) value of 25.5 μmol/L. Conclusions: From this investigation, four Vietnamese medicinal plants were identified to have XO inhibitory effects with IC_(50) values of the methanol extracts below 30 μg/m L. Compound(-)-7-O-galloyltricetiflavan was identified as an XO inhibitor from Archidendron clypearia with IC_(50) value of 25.5 μmol/L. | Nguyen Thuy Duong Pham Duc Vinh Phuong Thien Thuong Nguyen Thi Hoai Le Nguyen Thanh Tran The Bach Nguyen Hai Nam Nguyen Hoang Anh | 2017 | Asian Pacific Journal of Tropical Medicine2017，10，6： | 5 |
| 7 | 灌草对胖大海种群更新幼树幼苗密度的影响显示文摘通过对越南同奈天然文化自然保护区天然阔叶和半落叶林中灌木高度和盖度以及草本盖度对胖大海幼树幼苗密度大小影响的研究,探讨灌木草本对胖大海种群更新及其可持续发展的影响。结果表明:灌木盖度对胖大海幼树幼苗更新密度有显著影响,在3个优势度等级林分随着灌木盖度的逐渐增加,胖大海幼树幼苗更新密度呈单调下降,灌木高度与胖大海幼树幼苗密度的回归关系符合模型:y=a+bx+cx^2;不同灌木盖度和高度等级与胖大海更新幼树幼苗密度呈显著相关,优势度一级和二级林分中灌木高度在300~400 cm且盖度<40%,胖大海幼树幼苗密度为2 500~3 000株/hm^2;当灌木高度<200 cm且其盖度在70%以上时,胖大海幼树幼苗密度为500~1 000株/hm^2;优势度三级林分中灌木高度300~400 cm和盖度<40%时,胖大海幼树幼苗密度为3 000~4 000株/hm2;胖大海幼树幼苗密度随着草本盖度的增加而逐渐下降,3个优势度等级林分胖大海幼树幼苗密度和草本盖度的回归模型为:y=a×exp(-bx);胖大海幼树幼苗更新密度受草本盖度和灌木盖度因素综合作用影响,回归关系符合模型:y=a+b_1x_1+b_2x_2+c_1x_1~2+c_2x_2~2+dx_1x_2,灌木盖度低等级和草本盖度<30%,幼树幼苗密度最高值为2 500~3 000株/hm^2,灌木盖度增高和草本盖度为80%以上,密度为500株/hm^2以下,灌木草本盖度增加以及灌木高度较低不利于胖大海幼树幼苗的更新。因此,胖大海天然更新培育或人工林经营中,应注意清除灌木、草本,为胖大海幼树幼苗生长提供适宜的环境,促进胖大海幼树幼苗存活与生长。 | Pham Van Huong 陈昌雄 张巧巧 Hoang Van Tung 范先明 Nguyen Huu Duy | 2016 | 西南林业大学学报(自然科学)2016，36，4： | 5 |
| 8 | 拌和与成型温度对SMA-16混合料性能影响研究显示文摘为明确施工温度对SMA-16混合料路面性能的影响,并为SMA-16路面施工的合理拌和及碾压成型温度提供技术依据,研究不同温度条件下沥青与矿料的粘附性;同时拟定4个拌和温度、2个成型温度,研究不同温度条件下SMA-16混合料的毛体积密度、孔隙率、马歇尔稳定性、水稳定性和高低温性能的变化。结果表明:加热温度为170~185℃时玄武岩粗集料与SBS改性沥青的裹覆性最好;拌和温度对木质素纤维SMA混合料高温稳定性的影响比较大,对水稳定性和低温稳定性的影响不明显;拌和温度为175~185℃时,木质素纤维SMA混合料的高温稳定性、低温变形性能和水稳定性最好。 | 程培峰 NGUYEN Hoang Phong 郝中华 李吉庭 DANG Van Thanh | 2017 | 新型建筑材料2017，44，7： | 4 |
| 9 | Predicting roof displacement of roadways in underground coal mines using adaptive neuro-fuzzy inference system optimized by various physics-based optimization algorithms显示文摘Due to the rapid industrialization and the development of the economy in each country,the demand for energy is increasing rapidly.The coal mines have to pace up the mining operations with large production to meet the energy demand.This requirement has led underground coal mines to go deeper with more difficult conditions,especially the mining hazards,such as large deformations,rockburst,coal burst,roof collapse,to name a few.Therefore,this study aims at investigating and predicting the stability of the roadways in underground coal mines exploited by longwall mining method,using various novel intelligent techniques based on physics-based optimization algorithms(i.e.multi-verse optimizer(MVO),equilibrium optimizer(EO),simulated annealing(SA),and Henry gas solubility optimization(HGSO)) and adaptive neuro-fuzzy inference system(ANFIS),named as MVO-ANFIS,EO-ANFIS,SA-ANFIS and HGSOANFIS models.Accordingly,162 roof displacement events were investigated based on the characteristics of surrounding rocks,such as cohesion,Young’s modulus,density,shear strength,angle of internal friction,uniaxial compressive strength,quench durability index,rock mass rating,and tensile strength.The MVO-ANFIS,EO-ANFIS,SA-ANFIS and HGSO-ANFIS models were then developed and evaluated based on this dataset for predicting roof displacements in roadways of underground mines.The results indicated that the proposed intelligent techniques could accurately predict the roof displacements in roadways of underground mines with an accuracy in the range of 83%-92%.Remarkably,the SA-ANFIS model yielded the most dominant accuracy(i.e.92%).Based on the accurate predictions from the proposed techniques,the reinforced solutions can be timely suggested to ensure the stability of roadways during exploiting coal,especially in the underground coal mines exploited by the longwall mining. | Chengyu Xie Hoang Nguyen Xuan-Nam Bui Van-Thieu Nguyen Jian Zhou | 2021 | Journal of Rock Mechanics and Geotechnical Engineering2021，13，6： | 4 |
| 10 | Hydrocarbon Systems in the North-Eastern Area of the Song Hong Basin显示文摘 | Trinh Xuan Cuong Phan Ngoc Trung Tong Duy Cuong Nguyen Bich Ha Phung Lan Phtro'ng Hoang ThiLan Nguyen Hoang Son | 2013 | Journal of Earth Science and Engineering2013，3，12： | 3 |
| 11 | Optimized functional linked neural network for predicting diaphragm wall deflection induced by braced excavations in clays显示文摘Deep excavation during the construction of underground systems can cause movement on the ground,especially in soft clay layers.At high levels,excessive ground movements can lead to severe damage to adjacent structures.In this study,finite element analyses(FEM)and the hardening small strain(HSS)model were performed to investigate the deflection of the diaphragm wall in the soft clay layer induced by braced excavations.Different geometric and mechanical properties of the wall were investigated to study the deflection behavior of the wall in soft clays.Accordingly,1090 hypothetical cases were surveyed and simulated based on the HSS model and FEM to evaluate the wall deflection behavior.The results were then used to develop an intelligent model for predicting wall deflection using the functional linked neural network(FLNN)with different functional expansions and activation functions.Although the FLNN is a novel approach to predict wall deflection;however,in order to improve the accuracy of the FLNN model in predicting wall deflection,three swarm-based optimization algorithms,such as artificial bee colony(ABC),Harris’s hawk’s optimization(HHO),and hunger games search(HGS),were hybridized to the FLNN model to generate three novel intelligent models,namely ABC-FLNN,HHO-FLNN,HGS-FLNN.The results of the hybrid models were then compared with the basic FLNN and MLP models.They revealed that FLNN is a good solution for predicting wall deflection,and the application of different functional expansions and activation functions has a significant effect on the outcome predictions of the wall deflection.It is remarkably interesting that the performance of the FLNN model was better than the MLP model with a mean absolute error(MAE)of 19.971,root-mean-squared error(RMSE)of 24.574,and determination coefficient(R^(2))of 0.878.Meanwhile,the performance of the MLP model only obtained an MAE of 20.321,RMSE of 27.091,and R^(2)of 0.851.Furthermore,the results also indicated that the proposed hybrid models,i.e.,ABC-FLNN,HHO-FLNN,HGS-FLNN,yielded more superior performances than those of the FLNN and MLP models in terms of the prediction of deflection behavior of diaphragm walls with an MAE in the range of 11.877 to 12.239,RMSE in the range of 15.821 to 16.045,and R^(2)in the range of 0.949 to 0.951.They can be used as an alternative tool to simulate diaphragm wall deflections under different conditions with a high degree of accuracy. | Chengyu Xie Hoang Nguyen Yosoon Choi Danial Jahed Armaghani | 2022 | Geoscience Frontiers2022，13，2： | 3 |
| 12 | Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms显示文摘Blasting is well-known as an effective method for fragmenting or moving rock in open-pit mines.To evaluate the quality of blasting,the size of rock distribution is used as a critical criterion in blasting operations.A high percentage of oversized rocks generated by blasting operations can lead to economic and environmental damage.Therefore,this study proposed four novel intelligent models to predict the size of rock distribution in mine blasting in order to optimize blasting parameters,as well as the efficiency of blasting operation in open mines.Accordingly,a nature-inspired algorithm(i.e.,firefly algorithm-FFA)and different machine learning algorithms(i.e.,gradient boosting machine(GBM),support vector machine(SVM),Gaussian process(GP),and artificial neural network(ANN))were combined for this aim,abbreviated as FFA-GBM,FFA-SVM,FFA-GP,and FFA-ANN,respectively.Subsequently,predicted results from the abovementioned models were compared with each other using three statistical indicators(e.g.,mean absolute error,root-mean-squared error,and correlation coefficient)and color intensity method.For developing and simulating the size of rock in blasting operations,136 blasting events with their images were collected and analyzed by the Split-Desktop software.In which,111 events were randomly selected for the development and optimization of the models.Subsequently,the remaining 25 blasting events were applied to confirm the accuracy of the proposed models.Herein,blast design parameters were regarded as input variables to predict the size of rock in blasting operations.Finally,the obtained results revealed that the FFA is a robust optimization algorithm for estimating rock fragmentation in bench blasting.Among the models developed in this study,FFA-GBM provided the highest accuracy in predicting the size of fragmented rocks.The other techniques(i.e.,FFA-SVM,FFA-GP,and FFA-ANN)yielded lower computational stability and efficiency.Hence,the FFA-GBM model can be used as a powerful and precise soft computing tool that can be applied to practical engineering cases aiming to improve the quality of blasting and rock fragmentation. | Chengyu Xie Hoang Nguyen Xuan-Nam Bui Yosoon Choi Jian Zhou Thao Nguyen-Trang | 2021 | Geoscience Frontiers2021，12，3： | 3 |
| 13 | Establishing the Basic Indicator for the Calculation of the Flood Vulnerability Index for River Basins in Vietnam显示文摘 | Can Thu Van Nguyen Thanh Son Phan Vu Hoang Phuong | 2016 | Journal of Environmental Science and Engineering(B)2016，5，8： | 3 |
| 14 | Biomass accumulation of Panax vietnamensis in cell suspension cultures varies with addition of plant growth regulators and organic additives显示文摘Objective: To evaluate the impact of plant growth regulators including kinetin(KN),benzyl adenine and naphthalene acetic acid, yeast extract and casein hydrolyzate on biomass accumulation of Vietnamese ginseng Panax vietnamensis(P. vietnamensis) in cell suspension culture.Methods: Cell suspension cultures were established from friable calluses derived from leaves and petioles of 3-year-old in-vitro P. vietnamensis plants. The cell suspension cultures were grown in Murashige and Skoog basal media supplemented with various concentrations of KN, benzyl adenine, naphthalene acetic acid, and yeast extract and casein hydrolyzate.Results: All tested factors generated an increase in the cell biomass of P. vietnamensis in suspension culture, but the impact of each varies depended on the factor type, concentration, and incubation period. Addition of 2.0 mg/L KN resulted in the largest biomass increase after 24 d,(57.0 ± 0.9) and(3.1 ± 0.1) mg/m L fresh and dry weight, respectively,whereas addition of benzyl adenine or naphthalene acetic acid produced optimum levels of Panax cell biomass at 1.0 and 1.5 mg/L, respectively. Addition of the elicitor yeast extract led to a 1.4–2.4 fold increase in biomass of P. vietnamensis, while addition of casein hydrolyzate enhanced biomass accumulation 1.8–2.6 fold.Conclusions: The addition of each factor causes significant changes in biomass accumulation of P. vietnamensis. The largest biomass accumulation is from cultures grown in MS media containing 2.0 mg/L KN for 24 d. The outcome of the present study provides new insights into the optimal suspension culture conditions for studies on the in vitro cell biomass production of P. vietnamensis. | Tuan Tran Trong Dieu-Hien Truong Hoang Chinh Nguyen Dieu-Thai Tran Huyen-Trang Nguyen Thi Giap Do Dang Ho Nguyen Huu | 2017 | Asian Pacific Journal of Tropical Medicine2017，10，9： | 2 |
| 15 | The Incidence of Primary Antibiotic Resistance of Helicobacter pylori in Vietnam显示文摘 | Tran T. Binh Seiji Shiota Lam T. Nguyen Dung D.Q. Ho Hai H. Hoang Long Ta Dung T. Trinh Toshio Fujioka Yoshio Yamaoka | 2013 | Journal of Clinical Gastroenterology2013，，3： | 2 |
| 16 | Development of a PARCS/Serpent model for neutronics analysis of the Dalat nuclear research reactor显示文摘Cross-sectional homogenization for full-core calculations of small and complex reactor configurations,such as research reactors,has been recently recognized as an interesting and challenging topic.This paper presents the development of a PARCS/Serpent model for the neutronics analysis of a research reactor type TRIGA Mark-II loaded with Russian VVR-M2 fuel(known as the Dalat Nuclear Research Reactor or DNRR).The full-scale DNRR model and a supercell model for a shim/safety rod and its surrounding fuel bundles with the Monte Carlo code Serpent 2 were proposed to generate homogenized fewgroup cross sections for full-core diffusion calculations with PARCS.The full-scale DNRR model with Serpent 2 was also utilized as a reference to verify the PARCS/Serpent calculations.Comparison of the effective neutron multiplication factors,radial and axial core power distributions,and control rod worths showed a generally good agreement between PARCS and Serpent 2.In addition,the discrepancies between the PARCS and Serpent 2 results are also discussed.Consequently,the results indicate the applicability of the PARCS/Serpent model for further steady state and transient analyses of the DNRR. | Viet-Phu Tran Kien-Cuong Nguyen Donny Hartanto Hoai-Nam Tran Vinh Thanh Tran Van-Khanh Hoang Pham Nhu Viet Ha | 2021 | Nuclear Science and Techniques2021，32，2： | 2 |
| 17 | Effects of transcranial ultrasound stimulation pulsed at 40 Hz on Aβplaques and brain rhythms in 5×FAD mice显示文摘Background:Alzheimer's disease(AD)is the most common cause of dementia,and is characterized by amyloid-β(Aβ)plaques and tauopathy.Reducing Aβhas been considered a major AD treatment strategy in pharmacological and non-pharmacological approaches.Impairment of gamma oscillations,which play an important role in perception and cognitive function,has been shown in mouse AD models and human patients.Recently,the therapeutic effect of gamma entrainment in AD mouse models has been reported.Given that ultrasound is an emerging neuromodulation modality,we investigated the effect of ultrasound stimulation pulsed at gamma frequency(40 Hz)in an AD mouse model.Methods:We implanted electroencephalogram(EEG)electrodes and a piezo-ceramic disc ultrasound transducer on the skull surface of 6-month-old 5×FAD and wild-type control mice(n=12 and 6,respectively).Six 5×FAD mice were treated with two-hour ultrasound stimulation at 40 Hz daily for two weeks,and the other six mice received sham treatment.Soluble and insoluble Aβlevels in the brain were measured by enzyme-linked immunosorbent assay.Spontaneous EEG gamma power was computed by wavelet analysis,and the brain connectivity was examined with phase-locking value and cross-frequency phase-amplitude coupling.Results:We found that the total Aβ42 levels,especially insoluble Aβ42;in the treatment group decreased in pre-and infra-limbic cortex(PIL)compared to that of the sham treatment group.A reduction in the number of Aβplaques was also observed in the hippocampus.There was no increase in microbleeding in the transcranial ultrasound stimulation(tUS)group.In addition,the length and number of microglial processes decreased in PIL and hippocampus.Encel-phalographic spontaneous gamma power was increased,and cross-frequency coupling was normalized,implying functional improvement after tUS stimulation.Conclusion:These results suggest that the transcranial ultrasound-based gamma-band entrainment technique can be an effective therapy for AD by reducing the Aβload and improving brain connectivity. | Mincheol Park Gia Minh Hoang Thien Nguyen Eunkyung Lee Hyun Jin Jung Youngshik Choe Moon Hwan Lee Jae Youn Hwang Jae Gwan Kim Tae Kim | 2021 | Translational Neurodegeneration2021，10，4： | 2 |
| 18 | It Takes Two to Tango: Entrepreneurship and Creativity in Troubled Times--Vietnam 2012显示文摘 | Nancy K. Napier Dang Le Nguyen Vu Quan Hoang Vuong | 2012 | Journal of Sociology Study2012，2，9： | 2 |
| 19 | Method of delivery and pregnancy outcomes in Asia: the WHO global survey on maternal and perinatal health 2007–08显示文摘 | Pisake Lumbiganon Malinee Laopaiboon A Metin Gülmezoglu Jo?o Paulo Souza Surasak Taneepanichskul Pang Ruyan Deepika Eranjanie Attygalle Naveen Shrestha Rintaro Mori Nguyen Duc Hinh Hoang Thi Bang Tung Rathavy Kang Chuyun Kannitha Cheang Mario Festin Venus | 2010 | The Lancet2010，，9713： | 2 |
| 20 | Determination of groundwater solute transport parameters in finite element modelling using tracer injection and withdrawal testing data显示文摘The groundwater tracer injection and withdrawal tests are often carried out for the determination of aquifer solute transport parameters.However,the parameter analyses encounter a great difficulty due to the radial flow nature and the variability of the temporal boundary conditions.An adaptive methodology for the determination of groundwater solute transport parameters using tracer injection and withdrawal test data had been developed and illustrated through an actual case.The methodology includes the treatment of the tracer boundary condition at the tracer injection well,the normalization of tracer concentration,the groundwater solute transport finite element modelling and the method of least squares to optimize the parameters.An application of this methodology was carried out in a field test in the South of Hanoi city.The tested aquifer is Pleistocene aquifer,which is a main aquifer and has been providing domestic water supply to the city since the French time.Effective porosity of 0.31,longitudinal dispersivity of 2.2 m,and hydrodynamic dispersion coefficients from D=220 m^(2)/d right outside the pumping well screen to D=15.8 m^(2)/d right outside the tracer injection well screen have been obtained for the aquifer at the test site.The minimal sum of squares of the differences between the observed and model normalized tracer concentration is 0.00119,which is corresponding to the average absolute difference between observed and model normalized concentrations of 0.0355(while 1 is the worst and 0 is the best fit). | Van Hoang Nguyen | 2021 | Journal of Groundwater Science and Engineering2021，9，4： | 2 |
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