Results for 'Xiaojiang Jiang'

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  1. Quantum Entanglement:Can We "See" the Implicate Order?Philosophical Speculations.Michele Caponigro, Xiaojiang Jiang, Ravi Prakash & Ram Lakhan Pandey Vimal - 2010 - Neuroquantology 8 (378):389.
    This brief paper argue about a possible philosophical description of the implicate order starting from a simple theoretical experiment. Utilizing an EPR source and the human eyes of a "single" person, we try to investigate the philosophical and physical implications of quantum entanglement in terms of implicate order. We know, that most specialists still disagree on the exact number of photons required to trigger a neural response, although there will be many technical challenges, we assume that neural response will be (...)
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  2.  16
    Copernican Reasoning About Intelligent Extraterrestrials: A Reply to Simpson.Samuel Ruhmkorff & Tingao Jiang - forthcoming - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie:1-11.
    Copernican reasoning involves considering ourselves, in the absence of other information, to be randomly selected members of a reference class. Consider the reference class intelligent observers. If there are extraterrestrial intelligences (ETIs), taking ourselves to be randomly selected intelligent observers leads to the conclusion that it is likely the Earth has a larger population size than the typical planet inhabited by intelligent life, for the same reason that a randomly selected human is likely to come from a more populous country. (...)
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  3. Mencius on Moral Responsibility.Xinyan Jiang - 2002 - In The Examined Life: Chinese Perspectives: Essays on Chinese Ethical Traditions. Global Publications, Binghamton University. pp. 1--141.
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  4. The Development of Non-Coding RNA Ontology.Jingshan Huang, Karen Eilbeck, Barry Smith, Judith Blake, Deijing Dou, Weili Huang, Darren Natale, Alan Ruttenberg, Jun Huan, Michael Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison Strachan, Nisansa de Silva & Mohan Vamsi Kasukurthi - 2016 - International Journal of Data Mining and Bioinformatics 15 (3):214--232.
    Identification of non-coding RNAs (ncRNAs) has been significantly improved over the past decade. On the other hand, semantic annotation of ncRNA data is facing critical challenges due to the lack of a comprehensive ontology to serve as common data elements and data exchange standards in the field. We developed the Non-Coding RNA Ontology (NCRO) to handle this situation. By providing a formally defined ncRNA controlled vocabulary, the NCRO aims to fill a specific and highly needed niche in semantic annotation of (...)
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    A Domain Ontology for the Non-Coding RNA Field.Jingshan Huang, Karen Eilbeck, Judith A. Blake, Dejing Dou, Darren A. Natale, Alan Ruttenberg, Barry Smith, Michael T. Zimmermann, Guoqian Jiang & Yu Lin - 2015 - In IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2015). pp. 621-624.
    Identification of non-coding RNAs (ncRNAs) has been significantly enhanced due to the rapid advancement in sequencing technologies. On the other hand, semantic annotation of ncRNA data lag behind their identification, and there is a great need to effectively integrate discovery from relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a precisely defined ncRNA controlled vocabulary, which can fill a specific and highly needed niche in unification of ncRNA biology.
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  6.  55
    Mencius on Human Nature and Courage.Xinyan Jiang - 1997 - Journal of Chinese Philosophy 24 (3):265-289.
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  7. Pedestrian Detection Based on Hierarchical Co-Occurrence Model for Occlusion Handling.Xiaowei Zhang, HaiMiao Hu, Fan Jiang & Bo Li - 2015 - Neurocomputing 10.
    In pedestrian detection, occlusions are typically treated as an unstructured source of noise and explicit models have lagged behind those for object appearance, which will result in degradation of detection performance. In this paper, a hierarchical co-occurrence model is proposed to enhance the semantic representation of a pedestrian. In our proposed hierarchical model, a latent SVM structure is employed to model the spatial co-occurrence relations among the parent–child pairs of nodes as hidden variables for handling the partial occlusions. Moreover, the (...)
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