Designing the Market of Data - For Practical Data Sharing via Educational and Innovative Communications

This special issue of Open Journal of Information Systems (OJIS) reports work on designing the market of data for practical data sharing via educational and innovative communications (MoDAT). In the market of data, data are reasonably dealt with sold, opened, or shared based on negotiation. Since last years, we have been aiming at realizing a social environment, where each person feels free to share one's own and others' data for learning the latent value of data without fearing the loss of business opportunities. In the market, data and analysts' knowledge are shared by selling and buying, with reasonably determining the conditions for sharing. People in the market may communicate with each other in order to decide to expose the data as open-source, if the trust of the data provider is expected to be elevated highly due to the contribution to people in the public. Thus the Market of Data means a place where the value of data and knowledge can be externalized. OJIS is published by RonPub (www.ronpub.com), which is an academic publisher of online, open access, peer-reviewed journals

An empirical model to describe rapidity density and transverse momentum distributions

The distribution of rapidity density and transverse momentum is formulated empirically and analytically. It describes the data quite well over the wide energy range of √s = 22.4 – 7000 GeV

Advances in Chance Discovery : Extended Selection from International Workshops

Since year 2000, scientists on artificial and natural intelligences started to study chance discovery - methods for discovering events/situations that significantly affect decision making. Partially because the editors Ohsawa and Abe are teaching at schools of Engineering and of Literature with sharing the interest in chance discovery, this book reflects interdisciplinary aspects of progress: First, as an interdisciplinary melting pot of cognitive science, computational intelligence, data mining/visualization, collective intelligence, … etc, chance discovery came to reach new application domains e.g. health care, aircraft control, energy plant, management of technologies, product designs, innovations, marketing, finance etc. Second, basic technologies and sciences including sensor technologies, medical sciences, communication technologies etc. joined this field and interacted with cognitive/computational scientists in workshops on chance discovery, to obtain breakthroughs by stimulating each other. Third, “time” came to be introduced explicitly as a significant variable ruling causalities - background situations causing chances and chances causing impacts on events and actions of humans in the future. Readers may urge us to list the fourth, fifth, sixth, … but let us stop here and open this book.  

Adiabatic expansion of nuclear matter gas to describe violation of Feynman scaling law in multiple particle production

The main features of the rapidity density distribution of the produced hadrons in multiple particle production in nucleon collisions are; (a) the distribution in the forward region (ȳ ≥ 0) has a shape similar to the Fermi distribution, (b) the distribution in the most forward region reaches almost the maximum rapidity ymax = ln(√s/M) (M : nucleon mass), and (c) the shrinkage of the distribution from the maximum rapidity increases with the incident energy (i.e. violation of Feynman scaling law). These features are possible to be described by the assumptions that; (1) a fireball of the gas (made of nuclear matter, with the temperature Ti and with the shape of the incident nucleon with Lorentz contraction) is produced in the collision, (2) the fireball makes the adiabatic expansion, and (3) the constituent particles of the gas obey the Maxwell-Boltzmann distribution of the temperature Tf in the final state