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  • 1. Hu, Hailong
    et al.
    Li, Zhong
    Elofsson, Arne
    Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).
    Xie, Shangxin
    A Bi-LSTM Based Ensemble Algorithm for Prediction of Protein Secondary Structure2019In: Applied Sciences, E-ISSN 2076-3417, Vol. 9, no 17, article id 3538Article in journal (Refereed)
    Abstract [en]

    The prediction of protein secondary structure continues to be an active area of research in bioinformatics. In this paper, a Bi-LSTM based ensemble model is developed for the prediction of protein secondary structure. The ensemble model with dual loss function consists of five sub-models, which are finally joined by a Bi-LSTM layer. In contrast to existing ensemble methods, which generally train each sub-model and then join them as a whole, this ensemble model and sub-models can be trained simultaneously and the performance of each model can be observed and compared during the training process. Three independent test sets (e.g., data1199, 513 protein Cuff & Barton set (CB513) and 203 proteins from Critical Appraisals Skills Programme (CASP203)) are employed to test the method. On average, the ensemble model achieved 84.3% in Q(3) accuracy and 81.9% in segment overlap measure (SOV) score by using 10-fold cross validation. There is an improvement of up to 1% over some state-of-the-art prediction methods of protein secondary structure.

  • 2. Wang, Dianzheng
    et al.
    Yu, Chenfan
    Zhou, Xin
    Ma, Jing
    Liu, Wei
    Shen, Zhijian
    Stockholm University, Faculty of Science, Department of Materials and Environmental Chemistry (MMK). Tsinghua University, China.
    Dense Pure Tungsten Fabricated by Selective Laser Melting2017In: Applied Sciences, E-ISSN 2076-3417, Vol. 7, no 4, article id 430Article in journal (Refereed)
    Abstract [en]

    Additive manufacturing using tungsten, a brittle material, is difficult because of its high melting point, thermal conductivity, and oxidation tendency. In this study, pure tungsten parts with densities of up to 18.53 g/cm(3) (i.e., 96.0% of the theoretical density) were fabricated by selective laser melting. In order to minimize balling effects, the raw polyhedral tungsten powders underwent a spheroidization process before laser consolidation. Compared with polyhedral powders, the spherical powders showed increased laser absorptivity and packing density, which helped in the formation of a continuous molten track and promoted densification.

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