集団過程における文化差の解明：集団生存戦略・協力行動の基盤・社会的ヒエ ラルキーに注目して

京都大学新制・課程博士博士(人間・環境学)甲第23270号人博第985号新制||人||233(附属図書館)2020||人博||985(吉田南総合図書館)京都大学大学院人間・環境学研究科共生人間学専攻(主査)教授 内田 由紀子, 教授 齋木 潤, 教授 月浦 崇学位規則第4条第1項該当Doctor of Human and Environmental StudiesKyoto UniversityDGA

Arctigeninのヒト肝芽腫細胞株に対する抗腫瘍効果の検討

藤田医科大

How Should Errors in Normative Claims be Pointed Out?

The purpose of this paper is to answer the question: how should errors in normative claims be pointed out? Against this question, this paper demonstrates the ideal model of the person who points out the errors in normative claims. The first chapter analyzes “normative claims” themselves, based on the theory of “discourse ethics” proposed by Habermas. This chapter indicates that the validity of normative claims emerges only through a consensus in “discourse.” Next, the second chapter focuses on the “discourse” and analyzes this deeper structure. Based on this analysis, consequently, the model of the opponent who points out errors is demonstrated. The model is as follows: An opponent must, initially, admit the validity of a proponent’s claim, at least from the perspective of the “background discourse” through which the claim can be valid

Engineering routine remedial work in manned machinery spaces ship: challenge for maritime autonomous surface ships

In 1987, the Japanese government launched the project “Pioneer ship” which had an automatic control system and operated with only 11 crew members, utilizing multipurpose officers and ratings. The pioneer ship is no longer practical; however, recently the concept of a more sophisticated automation system and much fewer crew in machinery spaces has become even more radical as exemplified by MASS (Maritime Autonomous Surface Ships). As far as conventional manned machinery spaces watch system is concerned, by utilizing the five senses (watching, listening, smelling, touching and tasting), duty engineering officers and ratings not only identify defects which are rarely detected by alarm systems but also deal with any defects when alarm systems detect malfunctions in machinery. Taking the engine crews’ operation into account, we need to consider not only how to introduce digitalization to the system but also train seafarers for new competences. In this paper, we categorized defects according to detectable, undetectable, remediable or irremediable cases. Taking the categorized cases into account, we analysed potential solutions for both new engine plant systems and new training systems of Maritime Autonomous Surface Ships

Fast Partitioned Learned Bloom Filter

A Bloom filter is a memory-efficient data structure for approximate membership queries used in numerous fields of computer science. Recently, learned Bloom filters that achieve better memory efficiency using machine learning models have attracted attention. One such filter, the partitioned learned Bloom filter (PLBF), achieves excellent memory efficiency. However, PLBF requires a $O(N^3k)$ time complexity to construct the data structure, where $N$ and $k$ are the hyperparameters of PLBF. One can improve memory efficiency by increasing $N$, but the construction time becomes extremely long. Thus, we propose two methods that can reduce the construction time while maintaining the memory efficiency of PLBF. First, we propose fast PLBF, which can construct the same data structure as PLBF with a smaller time complexity $O(N^2k)$. Second, we propose fast PLBF++, which can construct the data structure with even smaller time complexity $O(Nk\log N + Nk^2)$. Fast PLBF++ does not necessarily construct the same data structure as PLBF. Still, it is almost as memory efficient as PLBF, and it is proved that fast PLBF++ has the same data structure as PLBF when the distribution satisfies a certain constraint. Our experimental results from real-world datasets show that (i) fast PLBF and fast PLBF++ can construct the data structure up to 233 and 761 times faster than PLBF, (ii) fast PLBF can achieve the same memory efficiency as PLBF, and (iii) fast PLBF++ can achieve almost the same memory efficiency as PLBF.Comment: NeurIPS 202

Vacua by Derivative Corrections in N=1\mathcal{N}=1 Supergravity with Matter Multiplets

We study the vacuum structures of four-dimensional $\mathcal{N} = 1$ old minimal supergravity with higher derivative corrections. We find that $\mathcal{N} = 1$ supergravity with Riemann curvature square corrections and higher derivative matter chiral multiplets induces a non-trivial de Sitter vacuum, even in the absence of superpotentials. This vacuum generically breaks supersymmetry. We show that the auxiliary fields in the gravity and the chiral multiples play important roles to generate a potential in supersymmetric higher derivative theories.Comment: 6 pages, 4 figures, references added, minor modification