Naoto Yoshida

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Escherichia coli as a plasmid recipient cell was dispersed in a chrysotile colloidal solution, containing chrysotile adsorbed to plasmid DNA (chrysotile-plasmid cell mixture). Following this, the chrysotile-plasmid cell mixture was dropped onto the surface of an elastic body, such as agarose, and treated physically by sliding a polystyrene streak bar over(More)
Nucleotide sequences from the P1 gene and the 5′ untranslated region of leek yellow stripe virus (LYSV), collected from several locations, were used to refine the phylogenetic relationships among the isolates. Multiple alignments revealed three distinct regions of insertions and deletions to classify LYSVs. In our phylogenetic analyses, the LYSV isolates(More)
—Obtaining a survival strategy (policy) is one of the fundamental problems of biological agents. In this paper, we generalize the formulation of previous research related to the survival of an agent and we formulate the survival problem as a maximization of the multi-step survival probability in future time steps. We introduce a method for converting the(More)
Fresh Geobacillus thermoglucosidasius cells grown on soybean-casein digest nutrient agar were inoculated as a parent colony 1 cm in diameter on the surface of an agar gel containing acetate and calcium ions (calcite-promoting hydrogel) and incubated at 60 °C for 4 days, after which magnesium-calcite single crystals of 50–130 µm in size formed within the(More)
In this paper, we propose spatial communication between a virtual agent and a user through common space in both virtual world and real space. For this purpose, we propose the virtual agent system SCoViA, which renders a synchronized synthesis of the agent's appearance corresponding to the user's relative position to the monitor based on synchronization with(More)
In this paper reinforcement learning with binary vector actions was investigated. We suggest an effective architecture of the neural networks for approximating an action-value function with binary vector actions. The proposed architecture approximates the action-value function by a linear function with respect to the action vector, but is still non-linear(More)