Titlebook: Nanocarbons for Energy Conversion: Supramolecular Approaches; Naotoshi Nakashima Book 2019 Springer International Publishing AG, part of S

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Takashi Fukushima,Sho Kitano,Masaaki Sadakiyo,Miho Yamauchilassifying microarray gene expression patterns. Since the data typically consists of a large number of redundant features, an initial redundancy reduction of the attributes is done to enable faster convergence. Rough set theory is employed to generate reducts, which represent the minimal sets of non

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Seok-Kyu Cho,JongTae Yoo,Sang-Young Leelassifying microarray gene expression patterns. Since the data typically consists of a large number of redundant features, an initial redundancy reduction of the attributes is done to enable faster convergence. Rough set theory is employed to generate reducts, which represent the minimal sets of non

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Suyeon Hyun,Arumugam Sivanantham,Sangaraju Shanmugam within organizations, first in the mid-1990s from function structures to business processes, then more recently toward service oriented architectures. Today workflow systems support a wide range of processes, from the highly standardized to the relatively flexible. The efficient management of workf

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Carbon Nanotube-Based Direct Methanol Fuel Cell Catalysts,important challenge. In this chapter, we focus on the use of carbon nanotubes and mesoporous carbon as well as carbon black for comparison as a carbon support for direct methanol fuel cells (DMFCs) since they are electrochemically stable. Here such stable nanocarbons are wrapped by polymer (polybenz

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Understanding the Stability of Nanoscale Catalysts in PEM Fuel Cells by Identical Location TEM, efficiency, and ultimate cleanness—no carbon dioxide emission. Yet, a critical factor which significantly influences the performance of PEMFC is the stability of platinum group metal catalysts, which consists of Pt or Pt-alloy nanoparticles (2–5 nm in diameter) supported on the surface of carbon pa

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