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达格列净对不伴糖尿病心力衰竭患者治疗过程中RAAS系统的影响研究

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达格列净对不伴糖尿病心力衰竭患者治疗过程中RAAS系统的影响研究

作者： nguyen thi thanh huyen 大理大学

学位级别：硕士

目的:研究非糖尿病心力衰竭(Heart Failure,HF)患者应用达格列净治疗后血浆中血浆肾素浓度(Plasma renin concentration,PRC)、血浆血管紧张素Ⅱ(angiotensinⅡ,ANG-II)、血浆醛固酮(Aldosterone,ALD)的浓度水平变化情况,探讨达格列净... 详细信息

目的:研究非糖尿病心力衰竭(Heart Failure,HF)患者应用达格列净治疗后血浆中血浆肾素浓度(Plasma renin concentration,PRC)、血浆血管紧张素Ⅱ(angiotensinⅡ,ANG-II)、血浆醛固酮(Aldosterone,ALD)的浓度水平变化情况,探讨达格列净对不伴糖尿病心力衰竭患者RAAS系统影响。方法:选取2021年7月至2022年10月于大理大学第一附属医院心内科收治102例非糖尿病心力衰竭患者为研究对象,44名常规治疗的患者纳入对照组,58名在常规治疗基础上口服达格列净的患者纳入实验组。记录患者一般情况,并分别在服药前及服药后第7天测定患者一般实验室指标(血尿酸、血糖、肌酐、总胆固醇、甘油三酯、血钾、血钠、低密度脂蛋白胆固醇)、BNP值、RAAS系统(PRC、ANG-II、ALD)、左室射血分数(LVEF)、心功能等级。记录两组患者基础资料以及治疗期间心衰症状、心肾功能及RAAS系统相关指标的变化情况并进行对比。结果:1.实验组患者NYHA心功能分级I级从1例(1.72%)经治疗后升到12例(20.68%);心功能II级从5例(8.62%)上升至45例(77.59%);心功能III级从40例(68.89%)降低0例(0.00%),心功能IV级从12例(20.68%)降到1例(1.72%),治疗前后心功能分级分布差异有统计学差异(P0.05)。治疗前后实验组患者均进行生命体征、Glu、TC、TG、Cr、UA,K、Na复查未出现明显异常,未发生不良反应事件,说明达格列净治疗于心衰是安全的。3.治疗后实验组BNP值为(434.55±418.40)pg/ml,对照组为(619.33±453.37)pg/ml,实验组低于对照组,组间差异具有统计学意义(P0.05);经治疗,实验组患者的PRC值显著下降至(11.58±4.77)pg/ml,差异具有统计学意义(P0.05);经治疗,实验组患者的ALD值显著下降至(65.47±12.01)pg/ml,差异具有统计学意义(P0.05)。比较两组患者治疗前后差值,实验组ALD(pg/ml)(19.05±20.16),与对照组(2.29±16.07)结果显示,实验组显著高于对照组具有统计学意义(P0.05);经治疗,实验组与对照组均显著下降,治疗前后差异均具有统计学意义(P0.05)。结论:1.达格列净可显著降低不伴糖尿病心力衰竭患者心功能分级和BNP值,且安全性佳。2.达格列净可显著降PRC、Ang-II、ALD浓度水平,且治疗效果不受性别和其他药物的影响。提示达格列净可能具有抑制RASS系统的作用。

关键词：达格列净心力衰竭 RAAS系统 SGLT2

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共享单车现阶段的问题研究

经贸实践 2017年第11X期 40-41页

作者： nguyen thi thanh huyen 南京理工大学江苏南京210000

共享单车作为一种与时俱进的新鲜产物,不仅让都市生活者出行变得更加方便,更减少了城市交通和环保压力,符合人们所倡导的绿色出行的生活理念。随着去年9月份之后,摩拜单车和ofo等共享类型产品的访问用户量以及页面浏览量的突飞猛进,市... 详细信息

共享单车作为一种与时俱进的新鲜产物,不仅让都市生活者出行变得更加方便,更减少了城市交通和环保压力,符合人们所倡导的绿色出行的生活理念。随着去年9月份之后,摩拜单车和ofo等共享类型产品的访问用户量以及页面浏览量的突飞猛进,市场占有量的呈现指数急速攀升,直接说明了共享单车用户数量和使用数量的大面积提升。随之也带来了共享单车发展过程的诸多问题。本次研究将以上海市各区的共享单车两大供应商ofo与摩拜为研究对象,采用大量的统计数据、采访、问卷调查的形式,总结出共享单车发展过程当中的瓶颈,并分析出深层次的原因以及提出相关意见,帮助企业和政府部门制定相关规范,以期达到规范共享单车运营的目的,使共享单车的服务更加文明、有序。

关键词：共享单车现阶段问题解决方法

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中国游客对越南下龙湾旅游品牌形象认知研究

中国游客对越南下龙湾旅游品牌形象认知研究

作者：阮氏清玄（nguyen thi thanh huyen）南京理工大学

学位级别：硕士

旅游品牌形象认知是游客对品牌的了解、记忆和识别,并形成一种比较稳定的评价的心理活动过程。随着旅游业的发展和旅游市场竞争的日趋激烈,旅游市场的竞争越来越表现为旅游品牌的竞争,旅游品牌是旅游目的地的核心竞争力。游客认知对于... 详细信息

旅游品牌形象认知是游客对品牌的了解、记忆和识别,并形成一种比较稳定的评价的心理活动过程。随着旅游业的发展和旅游市场竞争的日趋激烈,旅游市场的竞争越来越表现为旅游品牌的竞争,旅游品牌是旅游目的地的核心竞争力。游客认知对于旅游目的地的品牌塑造具有重要的作用。本文通过对越南下龙湾旅游品牌形象认知进行研究,首先对国内外研究旅游品牌形象认知的研究现状及理论进行了分析和归纳。并对旅游品牌相关概念逐个进行探讨,包括对品牌、旅游品牌、品牌认知、旅游品牌定位等方面的理论进行了梳理。其次,是对越南旅游业总体的概况进行阐述,越南旅游业的基本情况和特点进行分析。选取越南下龙湾作为研究的对象,对下龙湾旅游业的发展概况,下龙湾旅游品牌的演变,并对中国游客入境旅游进行研究。重点提出研究模式和假设。主要是依照研究的需要,设计相对的选项和测量方式并且提出假设。结合调研地点和调研时间设置变量。最后,该部分内容在调研结果分析的基础上,总结出中国游客对下龙湾旅游品牌形象认知的种种结果,通过加强政府和协会的引导作用、因地制宜发展越南旅游商品、注重旅游品牌营销和对旅游产品进行市场细分四个方面来探讨提升下龙湾旅游品牌化的建议。

关键词：旅游品牌形象认知下龙湾

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)

Polygonatum kingianum rhizome extract alleviates collagen antibody-induced arthritis by modulating proinflammatory cytokine production in mice

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Asian Pacific Journal of Tropical Biomedicine 2020年第11期10卷 490-495页

作者： huyen Do thi thanh Phuong Ngo thi Hien nguyen thi Thu Nga nguyen thi Hung Le Ngoc Thao Dothi Ha Le Minh Graduate University of Science and Technology Vietnam Academy of Science and Technology18 Hoang Quoc VietNghia DoCau GiayHanoiVietnam Institute of Natural Products Chemistry Vietnam Academy of Science and Technology18 Hoang Quoc VietNghia DoCau GiayHanoiVietnam Hanoi Open University101 nguyen Hien str Hai Ba Trung Dist.HanoiVietnam Laboratory of Bioassay Institute of BiotechnologyVietnam Academy of Science and Technology18 Hoang Quoc VietNghia DoCau GiayHanoiVietnam Chemistry Lab Project Center for Research and Technology transferVietnam Academy of Science and Technology18 Hoang Quoc VietNghia DoCau GiayHanoiVietnam

Objective: To evaluate the anti-arthritic effects of Polygonatum kingianum rhizome extract using both in vitro and in vivo ***: Lipopolysaccharide-induced RAW 264.7 macrophages were treated with an ethanol extract of Polygonatum kingianum rhizomes at different concentrations to determine nitric oxide and prostaglandin E2(PGE2) production. For in vivo study, Polygonatum kingianum ethanol extract was further investigated for its antiinflammatory effect in a mouse model with collagen antibodyinduced arthritis. Phytochemical study of Polygonatum kingianum ethanol extract was also ***: Saponins(142 mg/g total yield) was the main component in the Polygonatum kingianum ethanol extract. 5α,8α-ergosterol peroxide,(E,E)-9-oxooctadeca-10,12-dienoic acid and 3-(2?-hydroxy-4?-methoxy-benzyl)-5,7-dihydroxy-8-methyl-chroman-4-one were isolated from the extract. Polygonatum kingianum ethanol extract exhibited potential anti-inflammatory effects by inhibiting nitric oxide and PGE2 production in RAW 264.7 cells in a dosedependent manner. The level of arthritis in mice with collagen antibody-induced arthritis was significantly reduced(P<0.01) after treatment with Polygonatum kingianum ethanol extract, particularly at a dose of 1 000 mg/kg body weight. Besides, the extract demonstrated the regulatory effects on serum tumor necrosis factoralpha, interleukin-6, and interleukin-10 in treated ***: Polygonatum kingianum ethanol extract has beneficial effects on inflammatory cytokine regulation and PGE2 inhibition in an experimental mouse model with collagen antibody-induced arthritis. The phytochemical screening reveals that the saponin, as the main component, and sterols(daucosterol and 5α,8α-ergosterol peroxide) from Polygonatum kingianum ethanol extract may contribute to its promising in vitro and in vivo anti-inflammatory activities.

关键词： inflammatory cytokine PGE2

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

Multiparticle^(nat)Sr(γ,xny p)reactions induced with bremsstrahlung end-point energies of 55,60,and 65 MeV

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Chinese Physics C 2022年第9期46卷 185-196页

作者： nguyen Van Do nguyen thanh Luan nguyen thi Xuan Kim Tien thanh nguyen thi Hien Guinyun Kim Institute of Theoretical and Applied Research Duy Tan UniversityHanoi 100000Vietnam Faculty of Natural Sciences Duy Tan UniversityDa Nang 550000Vietnam Institute of Physics Vietnam Academy of Science and Technology10 Dao TanHanoi 10000Vietnam Department of Physics Kyungpook National UniversityDaegu 415661Republic of Korea Graduate School of Science and Technology Vietnam Academy of Science and Technology18 Hoang Quoc VietHanoiVietnam

this study measured the yields of the radionuclides^(82)Sr,^(83(m+g))Sr,^(85m)Sr,^(85g)Sr,^(87m)Sr,^(81(g+0.976m))Rb,^(82m)Rb,^(83g)Rb,^(84(m+g))Rb,and^(86(m+g))Rb produced in^(nat)Sr(γ,xnyp)multiparticle reactions with bremsstrahlung end-point energies of 55,60,and 65 *** bremsstrahlung radiation was generated using the 100-MeV electron linear accelerator at the Pohang Accelerator Laboratory,Korea,and the reaction yields were derived from the induced activitiesmeasured using off-lineγ-ray *** obtain accurate experimental results,we performed the necessaryγ-ray interference *** experimental results were compared with the theoretical predictions obtained using the TALYS-1.95 statistical nuclear model *** calculations were performed using six different level-density models to ascertain which model best fitted the experimental *** dependence of the reaction yield on the incident bremsstrahlung energy and on the number of nucleons emitted by the photonuclear reactions was also investigated.

关键词： reaction yield activation method ^(nat)Sr(γ xnyp)reactions γ-ray spectrometry 55- 60- and 65-MeV bremsstrahlung.

Green Synthesis of Silver Nanoparticles Using Plectranthus Amboinicus Leaf Extract for Preparation of CMC/PVA Nanocomposite Film

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Journal of Renewable Materials 2021年第8期9卷 1393-1411页

作者： nguyen thi thanh Thuy Le Hoang Huy Truong Thuy Vy nguyen thi thanh Tam Bien thiLan thanh nguyen thi My Lan Nong Lam University Ho Chi Minh City Ho Chi Minh City700000Vietnam Industrial University of Ho Chi Minh City Ho Chi Minh City700000Vietnam University of Science Viet Nam National University Ho Chi Minh CityHo Chi Minh City700000Vietnam

In the present study,the biogenic silver nanoparticles have been synthesized using aqueous leaf extract of Plectranthus amboinicus(PA),which acted as both reducing and stabilizing *** PA synthesized silver nanoparticles were blended with carboxymethyl cellulose/polyvinyl alcohol(CMC/PVA)*** prepared AgNPs as well as the biogenic AgNPs incorporated CMC/PVA films were investigated using UV-visible spectrophotometry,Fourier-transform infrared spectroscopy(FT-IR),dynamic light scattering(DLS),scanning electron microscope(SEM),and X–ray diffraction(XRD).The DLS results showed that biogenic AgNPs had the average particle size of 65.70 nm with polydispersity index of *** surface plasmon resonance of AgNPs,which was determined by UV-vis spectrophotometry,showed the value of 410.00 *** results therefore confirmed the reduction Ag+into Ag°and the formation of AgNPs in the *** SEM imaging showed that AgNPs was quasi-spherical and *** XRD peaks at 33.07°,44.19°,64.58°and 77.47°confirmed the crystalline nature and presence of *** CMC/PVA films that incorporated with AgNPs displayed best mechanical strength and morphological properties than the pure CMC/PVA *** film of CMC/PVA-AgNPs exhibited significant antibacterial activities against Bacillus spizizenii,Staphylococcus aureus,Salmonella typhi and Escherichia Coli.

关键词： Carboxymethyl cellulose antibacterial green synthesis silver nanoparticles plectranthus amboinicus polyvinyl alcohol

Properties of poly（1-naphthylamine）/Fe3O4 composites and arsenic adsorption capacity in wastewater

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Frontiers of Materials Science 2016年第1期10卷 56-65页

作者： Minh thi TRAN thi huyen Trang nguyen Quoc Trung VU Minh Vuong nguyen Faculty of Physics Hanoi National University of Education 136-Xuanthuy Street Caugiay District Hanoi Vietnam Faculty of Chemistry Hanoi National University of Education 136-Xuanthuy Street Caugiay District Hanoi Vietnam Department of Physics Quynhon University 170 An Duong Vuong Quynhon Vietnam

The research results of poly（1-naphthylamine）lFe3O4 （PNA/Fe3O4） nanocomposites synthesized by a chemical method for As（Ⅲ） wastewater treatment are presented in this paper. XRD patterns and TEM images showed that the Fe3O4 grain size varied from 13 to 20 nm. The results of Raman spectral analysis showed that PNA participated in part of the PNA/Fe3O4 composite samples. The grain size of PNA/Fe3O4 composite samples is about 25-30 nm measured by SEM. The results of vibrating sample magnetometer measurements at room temperature showed that the saturation magnetic moment of PNA/Fe3O4 samples decreased from 63.13 to 43.43 emu/g, while the PNA concentration increased from 5% to 15%. The nitrogen adsorption-desorption isotherm of samples at 77 K at a relative pressure PIPo of about 1 was studied in order to investigate the surface and porous structure of nanoparticles by the BET method. Although the saturation magnetic moments of samples decreased with the polymer concentration increase, the arsenic adsorption capacity of the PNA/Fe3O4 sample with the PNA concentration of 5% is better than that of Fe3O4 in a solution with pH = 7. In the solution with pH 〉 14, the arsenic adsorption of magnetic nanoparticles is insignificant.

关键词： poly(1-naphthylamin)/Fe3O4 nanocomposite magnetization arsenic adsorption