Results for 'Phamhung Phuoc'

6 found
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  1.  17
    A Cost-Benefit Analysis of Capacitor Allocation Problem in Radial Distribution Networks Using an Improved Stochastic Fractal Search Algorithm.Phuoc Tri Nguyen, Thi Nguyen Anh, Dieu Vo Ngoc & Tung Le Thanh - 2020 - Complexity 2020:1-32.
    This research proposes a modified metaheuristic optimization algorithm, named as improved stochastic fractal search, which is formed based on the integration of the quasiopposition-based learning and chaotic local search schemes into the original SFS algorithm for solving the optimal capacitor placement in radial distribution networks. The test problem involves the determination of the optimal number, location, and size of fixed and switched capacitors at different loading conditions so that the network total yearly cost is minimized with simultaneous fulfillment of operating (...)
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  2. Rebellious youth and ineffective advice: A study of Vietnamese adolescents’ capability to deal with digital threats.Quan-Hoang Vuong, Quang-Loc Nguyen, Trung Tran, Hoang Phuoc-Hien Le, Viet-Phuong La, Tam-Tri Le & Minh-Hoang Nguyen - manuscript
    The digital era brings various benefits to adolescents. However, operating on the digital environment without sufficient knowledge and skills will expose them to multiple types of risks, especially in the country with low digital safety education rate like Vietnam. The current study examines factors that can contribute to cultivating adolescents’ digital resilience using the information-processing reasoning of the Mindsponge Theory. A UNESCO dataset of 1061 Vietnamese high school students was analyzed using the Bayesian Mindsponge Framework analytics. It is found that (...)
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  3.  20
    Development and Impact of Chinese Investment in EU.Nguyen Phuoc Hung - 2016 - Creative and Knowledge Society 6 (1):1-14.
    In this paper examines the roles and influence of China in the world and, mainly, in European Union. For a decade, Chinese investors have been looking for opportunities to buy european assets. Especially since the beginning of the 2008 crisis we observed an increase of investment activities of Chinese companies. During the crisis, cash troubled european companies due to loss of liquidity were forced to sell their shares at significant discount. Over time, with stabilizing the economic situation in Europe, European (...)
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  4.  33
    Teaching Corner: “First Do No Harm”: Teaching Global Health Ethics to Medical Trainees Through Experiential Learning.Marcia Glass, James D. Harrison, Phuoc Le & Tea Logar - 2015 - Journal of Bioethical Inquiry 12 (1):69-78.
    Recent studies show that returning global health trainees often report having felt inadequately prepared to deal with ethical dilemmas they encountered during outreach clinical work. While global health training guidelines emphasize the importance of developing ethical and cultural competencies before embarking on fieldwork, their practical implementation is often lacking and consists mainly of recommendations regarding professional behavior and discussions of case studies. Evidence suggests that one of the most effective ways to teach certain skills in global health, including ethical and (...)
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  5.  13
    Glorious Deeds: Work Unit Blood Donation and Postsocialist Desires in Urban China.Kathleen Erwin, Vincanne Adams & Phuoc Le - 2009 - Body and Society 15 (2):51-70.
    With advances in medical technology, the potential uses for human blood have proliferated, and in turn, so has the demand for blood. Blood and blood products circulate in a medical marketplace as a `good' that can be bought and sold to meet various health and commercial demands. Nevertheless, its point of origin — or `production' — remains the individual human body, and reliance on voluntary blood donation remains a cornerstone for meeting this growing market demand. This article examines the contradictions (...)
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  6.  6
    Improving Transformer-Based Neural Machine Translation with Prior Alignments.Thien Nguyen, Lam Nguyen, Phuoc Tran & Huu Nguyen - 2021 - Complexity 2021:1-10.
    Transformer is a neural machine translation model which revolutionizes machine translation. Compared with traditional statistical machine translation models and other neural machine translation models, the recently proposed transformer model radically and fundamentally changes machine translation with its self-attention and cross-attention mechanisms. These mechanisms effectively model token alignments between source and target sentences. It has been reported that the transformer model provides accurate posterior alignments. In this work, we empirically prove the reverse effect, showing that prior alignments help transformer models produce (...)
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