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Effectiveness on post-stroke hemiplegia in patients:electroacupuncture plus cycling vs electroacupuncture alone

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Journal of Traditional Chinese Medicine 2023年第2期43卷 352-358页

作者： Minh Duc nguyen Thanh Van tran Quoc Vinh nguyen Ninh Khac nguyen Son Truong Vu Luu Trong nguyen Linh Vu Phuong Dang Senior Specialist Clinic National Hospital of AcupunctureHanoi 1000Vietnam Department of Senior Specialist National Hospital of Acupuncture Hanoi 1000Vietnam Department of Senior Specialist Military Institute of Traditional MedicineHanoi 1000Vietnam Department of Training and Science National Hospital of AcupunctureHanoi 1000Vietnam Department of Senior Specialist National Hospital of AcupunctureHanoi 1000Vietnam Department of Rehabilitation 108 Military Central HospitalHanoi 1000Vietnam Department of Medicine Dai Nam UniversityHanoi 1000Vietnam

OBJECTIVE:To evaluate the effectiveness of cycling in combination with electroacupuncture in treatment of poststroke hemiplegia patients at National Hospital of Acupuncture,***:The study was designed as a single-centre,outcome-assessor-blinded parallel randomised controlled trial with 120 post-stroke hemiplegia patients randomly assigned into two groups:electroacupuncture plus cycling(CT group) and electroacupuncture(AT group).Patients were assessed before and after the treatment(using muscle grading,modified Rankin,Barthel,Orgorozo scores and electromyography).Statistical Man–Whitney U test,and Fisher’s exact tests were used to compare between CT and AT ***:The results reported statistically significant improvement in motor function in patients suffering from hemiplegia following ischemic stroke in both CT and AT *** in CT group experienced a greater improvement compared to those in AT group including better muscle contraction(increased frequency and amplitude of electromyography and increased muscle grading scale);increased recovery(Orgogozo scale),increased independency(Barthel scale) and decreased disability(Modified Rankin scale)(P < 0.01).CONCLUSIONS:Combination with cycling training significantly improves the recovery of post-stroke patients treated with electroacupuncture.

关键词： electroacupuncture cycle training post-stroke hemiplegia

Face Mask Recognition for Covid-19 Prevention

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Computers, Materials & Continua 2022年第11期73卷 3251-3262页

作者： Trong hieu Luu Phan nguyen Ky Phuc Zhiqiu Yu Duy Dung Pham Huu Trong Cao College of Engineering Can Tho UniversityCan Tho city910900Viet Nam International University-Vietnam National University Vietnam National UniversityHoChiMinh City70000Vietnam Department of Industrial Management National Taiwan University of Science and TechnologyTaipei10607Taiwan

In recent years,the COVID-19 pandemic has negatively impacted all aspects of social *** to ease in the infected method,i.e.,through small liquid particles from the mouth or the nose when people cough,sneeze,speak,sing,or breathe,the virus can quickly spread and create severe problems for people’s *** to some research as well as World Health Organization(WHO)recommendation,one of the most economical and effective methods to prevent the spread of the pandemic is to ask people to wear the face mask in the public space.A face mask will help prevent the droplet and aerosol from person to person to reduce the risk of virus *** simple method can reduce up to 95%of the spread of the ***,this solution depends heavily on social consciousness,which is sometimes *** order to improve the effectiveness of wearing face masks in public spaces,this research proposes an approach for detecting and warning a person who does not wear or misuse the face *** approach uses the deep learning technique that relies on GoogleNet,AlexNet,and VGG16 *** results are synthesized by an ensemble method,i.e.,the bagging *** the experimental results,the approach represents a more than 95%accuracy of face mask recognition.

关键词： Face mask detection deep learning AlexNet GoogLeNet VGG16 ensemble method

Assessment of different machine learning techniques in predicting the compressive strength of self-compacting concrete

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Frontiers of Structural and Civil Engineering 2022年第7期16卷 928-945页

作者： Van Quan tran Hai-Van Thi MAI Thuy-Anh nguyen Hai-Bang LY Faculty of Civil Engineering University of Transport TechnologyHanoi 100000Vietnam

The compressive strength of self-compacting concrete(SCC)needs to be determined during the construction design *** paper shows that the compressive strength of SCC(CS of SCC)can be successfully predicted from mix design and curing age by a machine learning(ML)technique named the Extreme Gradient Boosting(XGB)algorithm,including non-hybrid and hybrid *** ML techniques,such as Linear regression(LR),K-Nearest Neighbors(KNN),Support Vector Machine(SVM),Decision Trees(DTR),Random Forest(RF),Gradient Boosting(GB),and Artificial Neural Network using two training algorithms LBFGS and SGD(denoted as ANN_LBFGS and ANN_SGD),are also compared with the XGB ***,the hybrid models of eight ML techniques and Particle Swarm Optimization(PSO)are constructed to highlight the reliability and accuracy of SCC compressive strength prediction by the XGB_PSO hybrid *** highest number of SCC samples available in the literature is collected for building the ML *** with previously published works’performance,the proposed XGB method,both hybrid and non-hybrid models,is the most reliable and robust of the examined techniques,and is more accurate than existing ML methods(R2=0.9644,RMSE=4.7801,and MAE=3.4832).Therefore,the XGB model can be used as a practical tool for engineers in predicting the CS of SCC.

关键词： compressive strength self-compacting concrete machine learning techniques particle swarm optimization extreme gradient boosting

Effectiveness of bee venom acupuncture for patients suffering from periarthritis humeroscapularis

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中医杂志:英文版 2023年第4期43卷 795-800页

作者： Minh Duc nguyen Thanh Van tran Quoc Vinh nguyen Cay Doan Ha Linh Vu Phuong Dang Senior Specialist Clinic National Hospital of AcupunctureHanoi 1000Vietnam Department of Senior Specialist National Hospital of Acupuncture Hanoi 1000Vietnam Department of Senior Specialist Military Institute of Traditional MedicineHanoi 1000Vietnam Department of minimally invasive spine National Hospital of AcupunctureHanoi 1000Vietnam Department of Medicine Dai Nam UniversityHanoi 1000Vietnam

OBJECTIVE:To evaluate the efficacy of bee venom acupuncture in humeroscapularis(PHS)***:One hundred and twenty patients diagnosed with PHS were assigned into four groups:BV1(0.01 mg/kg),BV2(0.005 mg/kg),BV3(0.0025 mg/kg),and control group(vitamin B1 plus novocain 3%injection)with 15 d of *** outcomes of the study including visual analogue scale(VAS)score andβ-endorphin,inflammatory cytokines including interleukin-10(IL-10),IL-1βand tumor necrosis factorα(TNF-α)and shoulder function score were assessed at baseline,after 10 and 15 d of ***:All four groups reported statistically significant improvement in VAS score,motion range,and shoulder function score(P<0.01),only the BV3 group showed significant increase of anti-inflammatory(IL-10)and decrease of pro-inflammatory(IL-1β,TNF-α)cytokines after treatment(P<0.05).The BV3 group presented a significant difference between all outcomes compared to the control and other ***:BV3 groups showed better recovery including reduced pain,improved motor function and normalized inflammatory cytokines than current therapy used in Vietnam and other groups.

关键词： periarthritis humeroscapularis bee venom acupuncture visual analogue scale range of motion articular shoulder function score inflammatory cytokines

Element-wise representations with ECNet for material property prediction and applications in high-entropy alloys

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npj Computational Materials 2022年第1期8卷 2409-2418页

作者： Xinming Wang nguyen-Dung tran Shuming Zeng Cong Hou Ying Chen Jun Ni State Key Laboratory of Low-Dimensional Quantum Physics Department of PhysicsTsinghua UniversityBeijing100084China Frontier Science Center for Quantum Information Beijing100084China Fracture and Reliability Research Institute School of EngineeringTohoku University6-6-01 AramakiaobaAobakuSendai980-8579Japan College of Physics Science and Technology Yangzhou UniversityYangzhou225002China Collaborative Innovation Center of Quantum Matter Beijing100084China

When developing deep learning models for accurate property prediction,it is sometimes overlooked that some material physical properties are insensitive to the local atomic ***,we propose the elemental convolution neural networks(ECNet)to obtain more general and global element-wise representations to accurately model material *** shows better prediction in properties like band gaps,refractive index,and elastic moduli of *** explore its application on high-entropy alloys(HEAs),we focus on the FeNiCoCrMn/Pd systems based on the data of DFT *** knowledge from less-principal element alloys can enhance performance in HEAs by transfer learning ***,the element-wise features from the parent model as universal descriptors retain good accuracy at small data *** this framework,we obtain the concentration-dependent formation energy,magnetic moment and local displacement in some sub-ternary and quinary *** results enriched the physics of those high-entropy alloys.

关键词： alloys prediction entropy

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越南本土汉语词典学习特征分析

鲁东大学学报（哲学社会科学版） 2024年第4期41卷 7-14页

作者：杨艳丽陈郑金容阮氏和卿阮梅贞鲁东大学国际教育学院山东烟台264039 雒鸿大学东方学院越南边和810000 胡志明市科技大学中文系越南胡志明700000 胡志明市财经大学国际语言文化学院越南胡志明700000

为了满足学习者的需求,越南本土出版了不少汉语词典,包括纸质版词典、网络词典和手机App。这些词典存在良莠不齐的问题,不能完全满足学习者的需求。对其中4部权威和典型的汉语词典进行学习特征分析后发现,越南的纸质版汉语词典虽然有用... 详细信息

为了满足学习者的需求,越南本土出版了不少汉语词典,包括纸质版词典、网络词典和手机App。这些词典存在良莠不齐的问题,不能完全满足学习者的需求。对其中4部权威和典型的汉语词典进行学习特征分析后发现,越南的纸质版汉语词典虽然有用户意识,但学习特征不明显;网络词典的学习特征比较突出,但文本内容存在诸多不准确之处。因此,开发出以《国际中文教育中文水平等级标准》为指导的面向越南汉语学习者的国别化工具书,需要中越两国学者及出版机构的共同努力。

关键词：越南本土汉语词典学习特征

Evaluation of Weathering Performance of Rosin-Copper Based Treated Wood

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Journal of Renewable Materials 2022年第11期10卷 2765-2780页

作者： Thi Thanh Hien nguyen Nho Quyet tran Thi Minh Nguyet nguyen Hien Mai Trinh Xuan Phuong Le Trong Kien nguyen College of Wood Industry and Interior Design Vietnam National University of ForestryHa NoiViet Nam College of Economics and Management Northeast Forestry UniversityHarbinChina

This study aimed to evaluate the effect of natural weathering on some surface characteristics and mechanical properties of Styrax wood treated with mixtures of 1.0%,2.0%,or 4.0%rosin sizing agent and 3%copper *** samples after treatment were exposed to outdoor conditions for one year and changes in color,glossiness,weight loss,compression strength parallel to grain(CSPG),modulus of rupture(MOR),and modulus of elasticity(MOE)were investigated after 6 and 12-month of natural *** results showed that rosin-copper treatment could improve color stability and gloss of samples after *** losses of all rosin-copper treated samples after 12 months of exposure were negligible compared with the untreated control *** addition,rosin-copper treatment enhanced the CSPG compared to untreated controls,but slightly decreased the MOR and MOE of Styrax wood before *** weathering factors induced a reduction for all strength properties,however,the decrease rate for strength properties of rosin-copper treated samples was negligible compared with the untreated control samples after 12-month natural weathering *** FTIR and SEM-EDX confirmed that the use of the rosin-copper formulations to impregnate wood could decrease the hazard of the copper preservative leaching into the environment,while also enhancing more resistance against weathering factors and other biotic factors.

关键词： Rosin-copper weathering color stability CSPG MOR MOE

CONVERGENCE RESULTS FOR NON-OVERLAP SCHWARZ WAVEFORM RELAXATION ALGORITHM WITH CHANGING tranSMISSION CONDITIONS

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Acta Mathematica Scientia 2022年第1期42卷 105-126页

作者： Minh-Phuong tran Thanh-Nhan nguyen Phuoc-Toan HUYNH Nhu-Binh LY Minh-Dang nguyen Quoc-Anh HO Applied Analysis Research Group Faculty of Mathematics and StatisticsTon Duc Thang UniversityHo Chi Minh cityVietnam Department of Mathematics Ho Chi Minh City University of EducationHo Chi Minh cityVietnam Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh cityVietnam

In this paper,we establish a new algorithm to the non-overlapping Schwarz domain decomposition methods with changing transmission conditions for solving one dimensional advection reaction diffusion *** precisely,we first describe the new algorithm and prove the convergence results under several natural assumptions on the sequences of parameters which determine the transmission *** we give a simple method to estimate the new value of parameters in each *** interesting advantage of our method is that one may update the better parameters in each iteration to save the computational cost for optimizing the parameters after many *** some numerical experiments are performed to show the behavior of the convergence rate for the new method.

关键词： domain decomposition method Schwarz waveform relaxation algorithm advection reaction diffusion changing transmission conditions

A comparative analysis of weight-based machine learning methods for landslide susceptibility mapping in Ha Giang area

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Big Earth Data 2023年第4期7卷 1005-1034页

作者： Thanh Trinh Binh Thanh Luu trang Ha Thi Le Duong Huy nguyen Trong Van tran Thi Hai Van nguyen Khanh Quoc nguyen Lien Thi nguyen Faculty of Computer Science Phenikaa UniversityYen NghiaHa DongHanoi 12116Vietnam Phenikaa Research and Technology Institute(PRATI) A&A Green Phoenix Group JSCNo.167 Hoang NganTrung HoaCau GiayHanoi 11313Vietnam Northwestern Geological Division General Department of Geology and Minerals of VietnamHanoiVietnam Youth union office Thuyloi University175 Tay SonDong DaHanoiVietnam Center of Remote Sensing and Geohazards Vietnam Institute of Geosciences and Mineral ResourcesHanoiVietnam

Landslide susceptibility maps (LSMs) are very crucial for planningpolicies in hazardous areas. However, the accuracy and reliability ofLSMs depend on available data and the selection of suitable *** study is conducted to produce LSMs by combinations of machinelearning methods and weighting techniques for Ha Giang province,Vietnam, where has limited data. In study area, we gather 11 landslideconditioning factors and establish a landslide inventory *** the weights of classes (or factors) is very important toprepare data for machine learning methods to generate LSMs. Wefrst use frequency ratio (FR) and analytic hierarchy process (AHP)techniques to generate the weights. Then, random forest (RF), supportvector machine (SVM), logistic regression (LR), and AHP methods arecombined with FR and AHP weights to yield accurate and reliableLSMs. Finally, the performance of these methods is evaluated by fivestatistical metrics, ROC and R-index. The empirical results have shownthat RF is the best method in terms of R-index and the five metrics, *** rate (0.9661), FP rate (0.0), ACC (0.9835), MAE (0.0046), and RMSE(0.0350) for this study area. This study opens the perspective of weightbasedmachine learning methods for landslide susceptibility mapping.

关键词： Landslide logistic regression random forest SvM Vietnam