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Compensation of Zn substitution and secondary phase controls effective mass and weighted mobility in In and Ga co-doped ZnO material

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Journal of Materiomics 2021年第4期7卷 742-755页

作者： Oanh Kieu Truong Le anh Tuan Thanh Pham ngoc Kim Pham Trang Huyen Cao Pham Truong Huu nguyen Dung Van Hoang Hanh Kieu Thi Ta Dai Cao Truong Hoa Thi Lai Thuy Dieu Thi Ung Vinh Cao Tran Thang Bach Phan aboratory of Advanced Materials University of ScienceHoChiMinh City700000Viet Nam Vietnam National University HoChiMinh City700000Viet Nam Faculty of Physics and Engineering Physics University of ScienceHoChiMinh City700000Viet Nam Faculty of Materials Science and Technology University of ScienceHoChiMinh City700000Viet Nam Center for Innovative Materials and Architectures(INOMAR) HoChiMinh CityViet Nam Institute of Materials Science Vietnam Academy of Science and TechnologyHanoi100000Viet Nam

Conductivity s and thermal conductivity k are directly related to carrier concentration while Seebeck coefficient S is inversely proportional to carrier ***,improving thermoelectric(TE)performance is ***,the first-time analysis of secondary phase-controlled TE performance in terms of density-of-state effective mass m*d,weighted mobility mw and quality factor B is discussed in ZnO *** results show that the secondary spinel phase Ga2O_(3)(ZnO)9 not only impacts on k but also on s and S at high temperature,while the effect of carrier concentration seem to be dominant at low *** the high-spinel-segregation sample,a compensation of dopant atoms from the spinel to substitutional sites in the ZnO matrix at high temperature leads to a low decreased rate of temperaturedependent m**** compensation process also induces a band sharpening,a small mw reduction,and a large B *** a result,In and Ga co-doped ZnO bulk with the highest spinel segregation achieves the greatest PF improvement by 112.8%,owing to enhanced Seebeck coefficient by 110%as compared to the good Zn-substitution sample.

关键词： Thermoelectrics In and Ga co-Doped ZnO Secondary phase Zn substitution DOS effective Mass Weighted mobility

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Application of Word Embedding to Drug Repositioning

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Journal of Biomedical Science and Engineering 2016年第1期9卷 7-16页

作者： Duc Luu Ngo Naoki Yamamoto Vu anh Tran ngoc Giang nguyen Dau Phan Favorisen Rosyking Lumbanraja Mamoru Kubo Kenji Satou Graduate School of Natural Science and Technology Kanazawa University Kanazawa Japan Institute of Science and Engineering Kanazawa University Kanazawa Japan

As a key technology of rapid and low-cost drug development, drug repositioning is getting popular. In this study, a text mining approach to the discovery of unknown drug-disease relation was tested. Using a word embedding algorithm, senses of over 1.7 million words were well represented in sufficiently short feature vectors. Through various analysis including clustering and classification, feasibility of our approach was tested. Finally, our trained classification model achieved 87.6% accuracy in the prediction of drug-disease relation in cancer treatment and succeeded in discovering novel drug-disease relations that were actually reported in recent studies.

关键词： Distributed Representation of Word Sense Discovery of Drug-Disease Relation Word Analogy

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Predicting Βeta-Turns and Βeta-Turn Types Using a Novel Over-Sampling Approach

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Journal of Biomedical Science and Engineering 2014年第11期7卷 927-940页

作者： Lan anh T. nguyen Xuan Tho Dang Tu Kien T. Le Thammakorn Saethang Vu anh Tran Duc Luu Ngo Sergey Gavrilov ngoc Giang nguyen Mamoru Kubo Yoichi Yamada Kenji Satou Graduate School of Natural Science and Technology Kanazawa University Kanazawa Japan Department of Computer Science Hue University of Education Hue Vietnam Institute of Science and Engineering Kanazawa University Kanazawa Japan

β-turn is one of the most important reverse turns because of its role in protein folding. Many computational methods have been studied for predicting β-turns and β-turn types. However, due to the imbalanced dataset, the performance is still inadequate. In this study, we proposed a novel over-sampling technique FOST to deal with the class-imbalance problem. Experimental results on three standard benchmark datasets showed that our method is comparable with state-of-the-art methods. In addition, we applied our algorithm to five benchmark datasets from UCI Machine Learning Repository and achieved significant improvement in G-mean and Sensitivity. It means that our method is also effective for various imbalanced data other than β-turns and β-turn types.

关键词： Beta-Turns Beta-Turn Types Class-Imbalance Over-Sampling

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DNA Sequence Classification by Convolutional Neural Network

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Journal of Biomedical Science and Engineering 2016年第5期9卷 280-286页

作者： ngoc Giang nguyen Vu anh Tran Duc Luu Ngo Dau Phan Favorisen Rosyking Lumbanraja Mohammad Reza Faisal Bahriddin Abapihi Mamoru Kubo Kenji Satou Graduate School of Natural Science and Technology Kanazawa University Kanazawa Japan Institute of Science and Engineering Kanazawa University Kanazawa Japan

In recent years, a deep learning model called convolutional neural network with an ability of extracting features of high-level abstraction from minimum preprocessing data has been widely used. In this research, we proposed a new approach in classifying DNA sequences using the convolutional neural network while considering these sequences as text data. We used one-hot vectors to represent sequences as input to the model;therefore, it conserves the essential position information of each nucleotide in sequences. Using 12 DNA sequence datasets, we evaluated our proposed model and achieved significant improvements in all of these datasets. This result has shown a potential of using convolutional neural network for DNA sequence to solve other sequence problems in bioinformatics.

关键词： DNA Sequence Classification Deep Learning Convolutional Neural Network

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Optimum Determination of Partial Transmission Ratios of Mechanical Driven Systems Using a Chain Drive and a Two-step Helical Gearbox

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Journal of Environmental Science and Engineering(B) 2017年第2期6卷 80-83页

作者： Vu ngoc Pi Tran Thi Phuong Thao Dang anh Tuan Mechanical Engineering Faculty Thai Nguyen University of Technology Thai Nguyen 250000 Vietnam

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Cost Optimization of Internal Grinding

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材料科学与工程（中英文B版） 2016年第6期6卷 291-296页

作者： Vu ngoc Pi Le Xuan Hung Luu anh Tung Banh Tien Long Thai nguyen University of Technology Thai Nguyen 23000 Vietnam Ha Noi University of Technology Ha Noi 100000 Vietnam

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Cost Optimization of Surface Grinding Process

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Journal of Environmental Science and Engineering(A) 2016年第12期5卷 606-611页

作者： Vu ngoc Pi Luu anh Tung Le Xuan Hung Banh Tien Long Thai nguyen University of Technology Thai Nguyen 23000 Vietnam Ha Noi University of Technology Ha Noi 100000 Vietnam

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Influence of Chitosan Binder on the Adhesion of Silver Nanoparticles on Cotton Fabric and Evaluation of Antibacterial Activity

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Advances in Nanoparticles 2015年第4期4卷 98-106页

作者： nguyen Quoc Hien Dang Van Phu nguyen ngoc Duy Le anh Quoc nguyen T. Kim Lan Hoang T. Dong Quy Huynh T. Hong Van Phan Ha Nu Diem Tran Thai Hoa Research and Development Center for Radiation Technology Vietnam Atomic Energy Institute Ho Chi Minh City Vietnam University of Science Vietnam National University in Ho Chi Minh City Ho Chi Minh City Vietnam College of Science Hue University Hue City Vietnam

Colloidal silver nanoparticles (AgNPs) with particle size less than 10 nm and concentration of 2 mM/L (~200 mg/L) were synthesized by gamma Co-60 ray irradiation of Ag+/chitosan solutions with different chitosan concentration of 0.5%, 1% and 2% (w/v). Incorporation of AgNPs onto cotton fabric was carried out by padding method with 100% wet pick-up. The content of AgNPs deposited on cotton fabric and released from cotton fabric after repeated washing was determined by inductively couple plasma-atomic emission spectroscopy (ICP-AES). The results indicated that cotton/AgNPs fabric made from padding into AgNPs solution with 0.5% - 1% chitosan was the best one of AgNPs adhesion ability on cotton fabric. Results on antibacterial activity against S. aureus showed that cotton/AgNPs fabric with AgNPs content more than 100 mg/kg exhibited highly antibacterial activity (η > 98%). The mechanical property (tensile strength and elongation) of cotton/AgNPs fabrics was almost unchanged in comparison with untreated cotton fabric. Thus, the resultant cotton/AgNPs fabric with highly antibacterial activity can be potentially used as bed drapes and/or patient uniforms in hospitals, etc.

关键词： Gamma Co-60 Ray Silver Nanoparticles Chitosan Cotton Fabric Antibacterial

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Applied Biofloc Technology for Target Species in the Mekong Delta in Vietnam： A Review

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Journal of Environmental Science and Engineering(B) 2017年第4期6卷 165-175页

作者： nguyen Van Hoa Ta Van Phuong Tran ngoc Hai Chau Tai Tao Le Quoc Viet nguyen Thi Hong Van Huynh Thanh Toi Tran Huu Le Vo Nam Son Pham Quoc anh Duy College of Aquaculture and Fisheries (CAF) Cantho University Cantho 270000-910000 Vietnam College of Applied Biology Tay Do University Cantho 270000-910000 Vietnam

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德意志联邦共和国教师培训的经验及其对越南教师培训改革的启示

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佳木斯职业学院学报 2017年第5期33卷 202-203页

作者： [越南]BUI Minh Duc nguyen Thanh Hung nguyen Thi ngoc Be DAO Thi Viet anh 越南河内师范大学二越南顺化师范大学心理教育系

为了满足普通教育计划改革的要求,需要改革教师培训计划。旨在建设和发展一支数量足够、结构合理、高素质、高水平的教师队伍,提高各师范大学教师培训工作的质量与效果。本文主要就处于世界领先水平的德意志联邦共和国教师培训工作进行... 详细信息

为了满足普通教育计划改革的要求,需要改革教师培训计划。旨在建设和发展一支数量足够、结构合理、高素质、高水平的教师队伍,提高各师范大学教师培训工作的质量与效果。本文主要就处于世界领先水平的德意志联邦共和国教师培训工作进行介绍,力图找出越南可借鉴的经验,提出了越南教师培训改革的若干建议。

关键词：经验教师培训质量效果教师

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