A study on the market value of the inherited property : Focusing on the judgements in which the paragraph 6, the National tax agency basic instructions on evaluation of assets was at issue

亜細亜大学修士（法学）thesi

Supporting Human–Robot Interaction Based on the Level of Visual Focus of Attention

We propose a human–robot interaction approach for social robots that attracts and controls the attention of a target person depending on her/his current visual focus of attention. The system detects the person’s current task (attention) and estimates the level by using the “task-related contextual cues” and “gaze pattern.” The attention level is used to determine the suitable time to attract the target person’s attention toward the robot. The robot detects the interest or willingness of the target person to interact with it. Then, depending on the level of interest of the target person, the robot generates awareness and establishes a communication channel with her/him. To evaluate the performance, we conducted an experiment using our static robot to attract the target human’s attention when she/he is involved in four different tasks: reading, writing, browsing, and viewing paintings. The proposed robot determines the level of attention of the current task and considers the situation of the target person. Questionnaire measures confirmed that the proposed robot outperforms a simple attention control robot in attracting participants’ attention in an acceptable way. It also causes less disturbance and establishes effective eye contact. We implemented the system into a commercial robotic platform (Robovie-R3) to initiate interaction between visitors and the robot in a museum scenario. The robot determined the visitors’ gaze points and established a successful interaction with a success rate of 91.7%.© 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.textapplication/pdfjournal articl

Cancer Nursing Research on the learning needs of hospital nurses FY2010

当院が都道府県がん診療連携拠点病院に指定されてから、がん患者の受診が多くなり現在では約4割ががん患者である。がん医療に携わる看護職の人材育成のために勉強会や事例検討会を行ってきた。しかし年々参加人数が減少し、プログラム自体の見直しが必要であると思われ、看護師の学習ニーズを明らかにしたいと考えた。そこでアンケート調査を行ったところ、がん看護への関心が高いことが明らかになり、対象者を絞った学習計画を立てることが必要と示唆された。Article信州大学医学部附属病院看護研究集録 39(1): 5-18(2011)departmental bulletin pape

Observation of b→dγ and Determination of |Vtd/Vts|

journal articl

有機機能性材料を用いた新規光伝導スイッチ

application/pdf三重大学大学院工学研究科博士前期課程電気電子工学専攻32thesi

Essay on Conveying Materials in Shaft

工部大学校種別:卒業論文thesi

朝鮮役における国際条件について

1974-03-31departmental bulletin pape

The Arabidopsis RWP-RK Protein RKD4 Triggers Gene Expression and Pattern Formation in Early Embryogenesis

Morphogenesis of seed plants commences with highly stereotypical cell division sequences in early embryogenesis [1, 2]. Although a small number of transcription factors and a mitogen-activated protein kinase (MAP) cascade have been implicated in this process [3-8], pattern formation in early embryogenesis remains poorly understood. We here show that the Arabidopsis RKD4, a member of the RWP-RK motif-containing putative transcription factors [9], is required for this process. Loss-of-function rkd4 mutants were defective in zygotic cell elongation, as well as subsequent cell division patterns. As expected from this mutant phenotype, RKD4 was transcribed preferentially in early embryos. RKD4 possessed functional characteristics of transcription factors, and was able to ectopically induce early embryo-specific genes when overexpressed in seedlings. Strikingly, induced overexpression of RKD4 primed somatic cells for embryogenesis independently of external growth regulators. These results reveal that RKD4 is a novel key regulator of the earliest stage of plant development.journal articl

Figure 4

<p>QTL map of days to flower (DTF) in Sweden (black line) and Spain (red line). Analysis of posterior probabilities was based on Bayes model and the interval at each point represented 2-cM scanning resolution. Solid lines show block 1 and dashed lines show block 2 each modeled separately. The dotted green horizontal line corresponds to 1% false discovery rate (FDR) set by 400 permutations. The multigene model averaged Bayesian QTL model fits 1 to 10 genes models. The relative weight of each model is shown (see R/bQTL package and supplementary data for a more detailed explanation).</p

Figure 3

<p>Distribution of flowering time among 96 Kas-1×Col-<i>gl1</i> RILs. Flowering time was measured as days until flowering in Sweden (upper) and Spain (lower) across two replicated blocks. The means and standard deviations of parents (Col-<i>gl1</i> and Kas-1) are shown by arrows and lines, respectively.</p