Analysis of Localized Actors’ Behaviors in Service Ecosystem Simulation

This paper analyzes social phenomena resulted in service-dominant (S-D) logic from a quantitative viewpoint with agent-based simulation. An agent plays a role of an actor in S-D logic, who integrates resources, collaborates with other actors, and exchanges service to serve values to beneficiaries. In the simulation, actors started as generic actors, became specialized into a single type of skill, and configured various patterns of institutional arrangements and service ecosystems. Especially, when the simulation constrained a trip distance for one-time exchange, and made the actors’ life levels variable corresponding to the obtained values, many small local structures of actors appeared in the ecosystems. Moreover, we also changed the land model into that with multiple fertile points, and then observed small satellite villages appeared apart from the central villages. These observations stand for that local institutions were endogenously established under contextual constraints from a S-D logic viewpoint

Service Ecosystem Emergence from Primitive Actors in Service Dominant Logic: An Exploratory Simulation Study

Service-dominant (S-D) logic has been proposed as a theoretical foundation for understanding economic exchange and value cocreation from a service-for-service perspective. In the S-D logic framework, all economic entities are commonly represented as resource-integrating, service-providing actors, relying primarily on operant resources, such as skills and knowledge. Service exchange is coordinated by institutional arrangements, which form the bases of service ecosystems, the unit of analysis of value cocreation. Institutional arrangements and service ecosystems emerge from the resource integrating and service-exchanging activities of the actors. This paper reports a preliminary investigation of the emergence of these structures from basic actor relationships, through agent-based simulation. The simulations under different conditions show that a collection of agent interactions generates systemic behavior typical for service ecosystems. This paper also suggests directions for future research

Service Ecosystems Emergence and Interaction: A Simulation Study

This paper describes the examination of emerging institutions and phase transition of service ecosystems in value cocreation processes under the basic tenets of service-dominant logic. We conducted several computational experiments with an agent-based model, in which we represented the generic actors and their operant resources, and examined their interactive behaviors in agent-based simulations. In the simulations, actors started changing their social properties from self-supporting individuals to reciprocal resource integraters. During the transaction, the actors increasingly specialized into specific roles and clusters of actors with the identical roles emerged – pointing towards processes of institutionalization, and dependent on the conditions of land fertility levels. Several phase transitions were observed in emerging service ecosystems, which were supported by complex structures of exchange and collaboration networks

自然言語理解のための経験的知識の構成に関する研究

University of Tokyo (東京大学

From Mott insulator to ferromagnetic metal: a pressure study of Ca2_{2}RuO4_{4}

We show that the pressure-temperature phase diagram of the Mott insulator Ca$_{2}$RuO$_{4}$ features a metal-insulator transition at 0.5GPa: at 300K from paramagnetic insulator to paramagnetic quasi-two-dimensional metal; at $T \leq$ 12K from antiferromagnetic insulator to ferromagnetic, highly anisotropic, three-dimensional metal. % We compare the metallic state to that of the structurally related p-wave superconductor Sr$_{2}$RuO$_{4}$, and discuss the importance of structural distortions, which are expected to couple strongly to pressure.Comment: 4 pages, 4figure

1994 Multi-site Broadband Seismic Observation at Sakurajima Volcano, Japan

Broadband observation of volcanic earthquakes has been recently conducted at many volcanoes. At the Sakurajima Volcano in Japan, one of the most active volcanoes all over the world, we conducted two broadband seismic observations successfully in last three years. However, they left some problems in terms of the number of observation sites and recording systems. This paper reports the outline of our third observation using three broadband seismometers (Streckeisen STS-II) with continuous recording at the Sakurajima Volcano from February 18 to March 28, 1994. This observation is distinguished from the previous two by the three stations operating continuously over the entire period. Although the Sakurajima Volcano had very low seismic activities during this observation period, we observed some kinds of volcanic earthquake, A-type and B-type earthquakes and volcanic tremors, particularly one series of interesting clone events

Autopsy Case of Bilateral Optic Nerve Aplasia with Microphthalmia: Neural Retina Formation Is Required for the Coordinated Development of Ocular Tissues

Human congenital anomalies provide information that contributes to the understanding of developmental mechanisms. Here we report bilateral optic nerve aplasia (ONA) with microphthalmia in the autopsy of the cadaver of a 70-year-old Japanese female. The gross anatomical inspection of the brain showed a cotton thread-like cord in the presumed location of the optic nerve tract or chiasm. Histologically, no neural retina, optic nerve bundle or retinal central vessels were formed in the eye globe, and the retinal pigment cells formed rosettes. The cornea, iris, and lens were also histologically abnormal. Immunohistochemically, no retinal cells expressed beta III tubulin, and Pax6-immunoreactive cells were present in the ciliary non-pigmented epithelial cells. This case of ONA could be attributed to the agenesis of retinal projection neurons as a sequel to the disruption of neural retina development. The neural retina formation would coordinate the proper development of ocular tissues

Multivariate gene expression analysis reveals functional connectivity changes between normal/tumoral prostates

<p>Abstract</p> <p>Background</p> <p>Prostate cancer is a leading cause of death in the male population, therefore, a comprehensive study about the genes and the molecular networks involved in the tumoral prostate process becomes necessary. In order to understand the biological process behind potential biomarkers, we have analyzed a set of 57 cDNA microarrays containing ~25,000 genes.</p> <p>Results</p> <p>Principal Component Analysis (PCA) combined with the Maximum-entropy Linear Discriminant Analysis (MLDA) were applied in order to identify genes with the most discriminative information between normal and tumoral prostatic tissues. Data analysis was carried out using three different approaches, namely: (i) differences in gene expression levels between normal and tumoral conditions from an univariate point of view; (ii) in a multivariate fashion using MLDA; and (iii) with a dependence network approach. Our results show that malignant transformation in the prostatic tissue is more related to functional connectivity changes in their dependence networks than to differential gene expression. The MYLK, KLK2, KLK3, HAN11, LTF, CSRP1 and TGM4 genes presented significant changes in their functional connectivity between normal and tumoral conditions and were also classified as the top seven most informative genes for the prostate cancer genesis process by our discriminant analysis. Moreover, among the identified genes we found classically known biomarkers and genes which are closely related to tumoral prostate, such as KLK3 and KLK2 and several other potential ones.</p> <p>Conclusion</p> <p>We have demonstrated that changes in functional connectivity may be implicit in the biological process which renders some genes more informative to discriminate between normal and tumoral conditions. Using the proposed method, namely, MLDA, in order to analyze the multivariate characteristic of genes, it was possible to capture the changes in dependence networks which are related to cell transformation.</p