检索结果-南通市图书馆

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

在线全文

学校读者我要写书评

暂无评论

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

Anti-inflammatory effects of Solanum procumbens on a low dose complete Freund's adjuvant-induced arthritis rat model

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Asian Pacific Journal of Tropical Biomedicine 2023年第5期13卷 214-221页

作者： Xuan-Hai Do Trong Nghia nguyen thanh Chung Dang thi thanh Mai nguyen Trung Nhan nguyen Van Nhat Truong Do Huu Tho Le Xuan Hai nguyen Hoang Phu Dang Giang-Linh nguyen Dinh-Khanh Hoang Van-Quan Le Van-Mao Can Department of Practical and Experimental Surgery Vietnam Military Medical UniversityHanoi 10000Vietnam Department of Reconstructive and Microsurgery Craniofacial and Reconstructive Surgery CentreMilitary Central Hospital 108Hanoi 10000Vietnam Department of Anatomic Pathology Military Hospital 103Vietnam Military Medical UniversityHanoi 10000Vietnam Faculty of Chemistry University of ScienceVietnam National University Ho Chi Minh CityHo Chi Minh City 70000Vietnam Faculty of Medicine University of Medicine and PharmacyVietnam National UniversityHanoi 10000Vietnam Department of Ultrasound Imaging Diagnostics CentreMilitary Hospital 103Vietnam Military Medical UniversityHanoi 10000Vietnam Department of Functional Diagnostics Military Hospital 103Vietnam Military Medical UniversityHanoi 10000Vietnam Department of Pathophysiology Vietnam Military Medical UniversityHanoi 10000Vietnam

Objective:To investigate the anti-inflammatory and analgesic effects of Solanum procumbens on complete Freund’s adjuvantinduced arthritis rat ***:We isolated and identified five compounds in the ethanolsoluble Solanum procumbens extract(SP)with anti-inflammatory effects,including ursolic acid,β-sitosterol,hexadecanoic acid,cisvaccenic acid,and vanillic ***,we investigated the anti-inflammatory effects of SP on rheumatoid arthritis symptoms,including paw volumes,local temperatures,withdrawal latency,and mechanical withdrawal threshold at the hind paw and white blood cell(WBC)number from complete Freund’s adjuvant-induced arthritis rat ***:We have successfully established a complete Freund’s adjuvant-induced arthritis rat model at a low dose(1 mg/mL).SP extract significantly reduced paw volumes(P<0.05),prolonged withdrawal latencies(P<0.05),decreased local temperature,and increased the mechanical withdrawal threshold(P<0.05),but only SP extract at the dose of 300 mg/kg significantly decreased WBC ***:SP extract could be a potential medication candidate with anti-inflammatory effects for arthritis,but it requires further investigation into the mechanism of the SP and its effectiveness on other models as well as clinical trials.

关键词： Solanum procumbens Arthritis Anti-inflammation Complete Freund's adjuvant Rats

A Truck Scheduling Problem for Multi-Crossdocking System with Metaheuristics

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第9期72卷 5165-5178页

作者： Phan nguyen Ky Phuc nguyen Van thanh Duong Bao Tram International University-Vietnam National University Vietnam National UniversityHoChiMinh City70000Vietnam Faculty of Commerce Van Lang UniversityHo Chi Minh City70000Vietnam

The cross-docking is a very important subject in logistics and supply chain *** to the definition,cross-docking is a process dealing with transhipping inventory,in which goods and products are unloaded from an inbound truck and process through a flow-center to be directly loaded onto an outbound ***-docking is favored due to its advantages in reducing the material handing cost,the needs to store the product in warehouse,as well decreasing the labor cost by eliminating packaging,storing,pick-location and order *** cross-docking,products can be consolidated and transported as a full load,reducing overall distribution *** this paper,we focus on a truck scheduling at the multidoor,multi-crossdocking network with inventory constraints and process capability *** this model,a truck can visit severals docks for loading or unloading many types *** situation is very common in *** study also developed an exact mathematical model using mixedinteger linear programming(MILP)with the objective of minimizing the makespan to obtaint the benchmark in small scale *** scale problems are solved through Simulated Annealing(SA)algorithm and Tabu Search(TS)*** of these algorithms will be compared to benchmarks obtained from solver as well as to each other.

关键词： Truck scheduling multi-door multi-crossdocking network simulated annealing tabu search

OPT-BAG Model for Predicting Student Employability

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第8期76卷 1555-1568页

作者： Minh-thanh Vo Trang nguyen Tuong Le Faculty of Information Technology HUTECH UniversityHo Chi Minh CityVietnam Faculty of Information Technology Ho Chi Minh City Open UniversityHo Chi Minh CityVietnam Laboratory for Artificial Intelligence Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh CityVietnam Faculty of Information Technology School of TechnologyVan Lang UniversityHo Chi Minh CityVietnam

The use of machine learning to predict student employability is important in order to analyse a student’s capability to get a *** on the results of this type of analysis,university managers can improve the employability of their students,which can help in attracting students in the *** addition,learners can focus on the essential skills identified through this analysis during their studies,to increase their *** effectivemethod calledOPT-BAG(OPTimisation of BAGging classifiers)was therefore developed to model the problem of predicting the employability of *** model can help predict the employability of students based on their competencies and can reveal weaknesses that need to be ***,we analyse the relationships between several variables and the outcome variable using a correlation heatmap for a student employability ***,a standard scaler function is applied in the preprocessing module to normalise the variables in the student employability *** training set is then input to our model to identify the optimal parameters for the bagging classifier using a grid search cross-validation ***,the OPT-BAG model,based on a bagging classifier with optimal parameters found in the previous step,is trained on the training dataset to predict student *** empirical outcomes in terms of accuracy,precision,recall,and F1 indicate that the OPT-BAG approach outperforms other cutting-edge machine learning models in terms of predicting student *** this study,we also analyse the factors affecting the recruitment process of employers,and find that general appearance,mental alertness,and communication skills are the most *** indicates that educational institutions should focus on these factors during the learning process to improve student employability.

关键词： Ensemble classifier grid search cross-validation OPT-BAG student employability

Prediction of Flash Flood Susceptibility of Hilly Terrain Using Deep Neural Network:A Case Study of Vietnam

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2023年第6期135卷 2219-2241页

作者： Huong thi thanh Ngo nguyen Duc Dam Quynh-Anh thi Bui Nadhir Al-Ansari Romulus Costache Hang Ha Quynh Duy Bui Sy Hung Mai Indra Prakash Binh Thai Pham University of Transport Technology Hanoi100000Vietnam Department of Civil Environmental and Natural Resources EngineeringLulea University of TechnologyLulea97187Sweden Department of Civil Engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National Institute for Research and Development Tulcea820112Romania Departement of Geodesy and Geomatics National University of Civil EngineeringHanoi100000Vietnam Faculty of Hydraulic Engineering National University of Civil EngineeringHanoi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India

Flash floods are one of the most dangerous natural disasters,especially in hilly terrain,causing loss of life,property,and infrastructures and sudden disruption of *** types of floods are mostly associated with landslides and erosion of roads within a short *** of Vietnamis hilly and mountainous;thus,the problem due to flash flood is severe and requires systematic studies to correctly identify flood susceptible areas for proper landuse planning and traffic *** this study,three Machine Learning(ML)methods namely Deep Learning Neural Network(DL),Correlation-based FeatureWeighted Naive Bayes(CFWNB),and Adaboost(AB-CFWNB)were used for the development of flash flood susceptibility maps for hilly road section(115 km length)of National Highway(NH)-6 inHoa Binh province,*** the proposedmodels,88 past flash flood events were used together with 14 flash floods affecting topographical and geo-environmental *** performance of themodels was evaluated using standard statisticalmeasures including Receiver Operating Characteristic(ROC)Curve,Area Under Curve(AUC)and Root Mean Square Error(RMSE).The results revealed that all the models performed well(AUC>0.80)in predicting flash flood susceptibility zones,but the performance of the DL model is the best(AUC:0.972,RMSE:0.352).Therefore,the DL model can be applied to develop an accurate flash flood susceptibility map of hilly terrain which can be used for proper planning and designing of the highways and other infrastructure facilities besides landuse management of the area.

关键词： Flash flood deep learning neural network(DL) machine learning(ML) receiver operating characteristic curve(ROC) Vietnam

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

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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

Morphological characterization and habitat suitability modeling of the goat population of Benin under climate change scenarios

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Ecological Processes 2022年第1期11卷 631-653页

作者： Habib Rainier Vihotogbe Whannou Cossi Ulriche Afatondji Côme Agossa Linsoussi Gnimansou Abraham Favi thanh thi nguyen Marcel Romuald Benjamin Houinato Luc Hippolyte Dossa Ecole des Sciences et Techniques de Production Animale Facultédes Sci-ences AgronomiquesUniversitéd’Abomey-CalaviAbomey-CalaviBénin Laboratoire d’Ecologie Appliquée Facultédes Sciences AgronomiquesUni-versitéd’Abomey-CalaviAbomey-CalaviBénin Laboratoire de Botanique et Ecologie Végétale Facultédes Sciences et TechniquesUniversitéd’Abomey-CalaviAbomey-CalaviBénin Organic Plant Production and Agroecosys-tems Research in the Tropics and Subtropics Organic Agricultural SciencesUniversity of KasselWitzenhausenGermany.

Background:Insufficient knowledge of the genetic and phenotypic diversity in the local Beninese goat population combined with the lack of understanding of its adaptive capacity to ongoing environmental and societal changes hampers the development of strategies for better management and genetic *** objective of this study was to establish the current geographical distribution of goats in Benin based on their morphology and model the potential habitat suitability of the three known main goat phenotypes(i.e.,Djallonkégoat or TypeⅠ,Sahelian goat or TypeⅡ,and their Crossbreeds or TypeⅢ)under climate change *** qualitative and 26 linear body measurements were taken on 2114 adult female goats sampled across the three vegetation zones of the *** ratios were generated from the quantitative *** data were analyzed using generalized linear model procedures followed by multiple comparisons of least-squares means and multivariate analytical methods,including canonical discrimination analysis and hierarchical ascendant *** goat was then assigned to one of the three aforementioned main goat phenotypes following its morphological characteristics and according to the a priori cluster membership defined in the previous *** Maximum Entropy algorithm was used to model the current and future distribution of the three goat phenotypes under climate change scenario using the Representative Conservation Pathways 4.5 and ***:All linear body measurements varied among vegetation *** the discriminant function analysis,71%of the measured individuals were correctly classified in their vegetation zone of origin by seven measured variables and three *** cluster procedure analysis revealed two groups of goats subdivided into the three main *** modeling results showed that the currently highly favorable habitats were distributed in the South for TypeⅠ,in the North for TypeⅡ,and both South and North for Type

关键词： Capra hircus Climate change Ecological niche modeling Farm animal species MaxEnt model Morphology

A concise review on surface and structural modification of porous zeolite scaffold for enhanced hydrogen storage

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Chemical Engineering 2024年第6期70卷 33-53页

作者： B.A.Abdulkadir R.S.R.Mohd Zaki A.T.Abd Wahab S.N.Miskan Anh-Tam nguyen Dai-Viet N.Vo H.D.Setiabudi Centre for Research in Advanced Fluid&Processes Universiti Malaysia Pahang Al-Sultan AbdullahLebuh Persiaran Tun Khalil YaakobGambangPahang 26300Malaysia Faculty of Chemical&Process Engineering Technology Universiti Malaysia Pahang Al-Sultan AbdullahLebuh Persiaran Tun Khalil YaakobGambangPahang 26300Malaysia Center of Excellence for Green Energy and Environmental Nanomaterials(CE@GrEEN) Nguyen Tat Thanh University300A Nguyen Tat ThanhDistrict 4Ho Chi Minh City 755414Viet Nam

Investigating zeolites as hydrogen storage scaffolds is imperative due to their porous nature and favorable physicochemical ***,the storage capacity of the unmodified zeolites has been rather unsatisfactory(0.224%-1.082%(mass))compared to its modified ***,the contemporary focus on enhancing hydrogen storage capacities has led to significant attention towards the utilization of modified zeolites,with studies exploring surface modifications through physical and chemical treatments,as well as the integration of various active *** enhanced hydrogen storage properties of zeolites are attributed to the presence of aluminosilicates from alkaline and alkaline-earth metals,resulting in increased storage capacity through interactions with the charge density of these ***,there is a great demand to critically review their role such as well-defined topology,pore structure,good thermal stability,and tunable hydrophilicity in enhanced hydrogen *** article aimed to critically review the recent research findings based on modified zeolite performance for enhanced hydrogen *** of the factors affecting the hydrogen storage capacities of zeolites that can affect the rate of reaction and the stability of the adsorbent,like pressure,structure,and morphology were studied,and ***,future perspectives,recommendations,and directions for modified zeolites were discussed.

关键词： Zeolites Hydrogen storage Surface modification Adsorption Active metal

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

在线全文

学校读者我要写书评

暂无评论

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