E-science is about global collaboration in key areas of science such as cognitive science and brain science, and the next generation of infrastructure such as the Wisdom Web and Knowledge Grids. As a case study, we investigate human multiperception mechanism by cooperatively using various psychological experiments, physiological measurements, and data mining techniques for developing artificial systems which match human ability in specific aspects. In particular, we observe fMRI (functional magnetic resonance imaging) and EEG (electroencephalogram) brain activations from the viewpoint of peculiarity oriented mining and propose a way of peculiarity oriented mining for knowledge discovery in multiple human brain data. Based on such experience and needs, we concentrate on the architectural aspect of a brain-informatics portal from the perspective of the Wisdom Web and Knowledge Grids. We describe how to build a data-mining grid on the Wisdom Web for multiaspect human brain data analysis. The proposed methodology attempts to change the perspective of cognitive scientists from a single type of experimental data analysis toward a holistic view at a long-term, global field of vision.

Rose (Rosa hybrida L.) 'Asami Red' plants were grown in a glasshouse for a year and the preharvest environmental parameters, and morphological and physiological parameters of individual cut flowers at harvest and during the postharvest period were recorded. Principal component analysis showed interrelations between the parameters: rose plants grown under "dry" conditions, i.e., high temperature, low relative humidity, and consequent high vapor pressure deficit, produced cut flowers having delayed wilting symptoms, resulting in a long vase life; cut roses with a high transpiration rate in the dark at harvest could not maintain their water relations properly, resulting in a shorter vase life; roses grown under "dry" conditions had small stomata and a low transpiration rate in the dark at harvest. These results indicate that humidity conditions are key preharvest environmental factor affecting the vase life of cut roses, and roses grown under "dry" conditions develop more functional stomata, regulate their water relations properly after harvest, and have a longer vase life. Multiple regression analysis to predict the vase life from preharvest environmental parameters and morphological and physiological parameters at harvest generated a significant equation (Y = −0.0971·X 1 + 0.0242·X 2 − 0.3275·X 3 − 2.84792·X 4 − 0.4859·X 5 + 15.397, where Y is the number of days of vase life; X 1 -X 5 are the daily minimum relative humidity, ratio of the stem diameter of the neck and cut end, stomatal width, water potential in the light, and transpiration rate in the dark, respectively; R 2 = 0.618; P < 0.001).

The thermoelastic martensitic transformation from the B2 to B19' structures in the Ti-Ni shape memory alloy was observed by in situ scanning electron microscopy in order to investigate the self-accommodation microstructure. Nucleation of the V-shaped habit plane variant cluster (2HPVC) triggers the formation of the hexangular HPVC (6HPVC) that is formed by six habit plane variants in the grain interior. The triangular morphology (3HPVC) is a derivative of 2HPVC. The autocatalytic transformation spreads from the 6HPVCs to the grain boundary and the reverse transformation proceeds like a rewind of the forward transformation. 2HPVC and 6HPVC are the most favorable morphologies for nucleation and growth, respectively, as explained by the analysis of the kinematic compatibility at junction planes.

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A new logic-based mobile agent framework named Maglog is proposed in this paper. In Maglog, a concept called "field" is introduced. By means of this concept, the following functions are realized: (1) agent migration, which is a function that enables agents to migrate between computers, (2) inter-agent communication, which is indirect communication with other agents through the field, (3) adaptation, which is a function that enables agents to execute programs stored in the field. We have implemented Maglog in a Java environment. The program of an agent, which is a set of Prolog clauses, is translated into Java source code by our Maglog translator, and is then compiled into Java classes by a Java compiler. The effectiveness of Maglog is confirmed through descriptions of two applications: a distributed e-learning system and a scheduling arrangement system.