Acknowledgements 1705
Thanks to A. Signore for preparing the manuscript. The
authors thank Dr. C.R. Wanke for peer-reviewing the
content presented in this chapter.
H.75 Automatic Control in Systems Biology
by Henry Mirsky, Jörg Stelling,
Rudiyanto Gunawan, Neda Bagheri,
Stephanie R. Taylor, Eric Kwei,
Jason E. Shoemaker, Francis J. Doyle III
The authors gratefully acknowledge significant ed-
itorial help in preparing this chapter by Xin W. Chen
from the PRISM Center at Purdue University. The
authors also gratefully acknowledge financial support
from the Institute for Collaborative Biotechnologies
(ICB) through the United States Army Research Office
(ARO) (Grants DAAD19-03-D-0004 and W119NF-07-
1-0279), from the National Institutes of Health (NIH)
(Grants EB007511 and GM078993), from the Integra-
tive Graduate Education Research Traineeship National
Science Foundation (IGERT NSF) (Grant DGE02-
21715), from the Defense Advanced Research Projects
Agency (DARPA) BioComp and BioSpice Programs,
from the Research Participation Program between the
United States Department of Energy (DOE) and Air
Force Research Laboratory, Human Effectiveness Di-
rectorate (AFRL/HEP), and from the University of
California, Board of Regents.
H.79 Rotary Heart Assist Devices
by Marwan A. Simaan
This research was supported in part by NSF
under grants ECS-0300097 and ECCS-0701365 and
NIH/BHLBI under contract 1R43HL66656-01. The
contributions of Drs. James F. Antaki and J. Robert
Boston and our students Leonardo Baloa, Darryl
Breitenstein, Shaohui Chen, Antonio Ferreira, and Yih-
Chong Yu are gratefully acknowledged.
H.80 Medical Informatics
by Chin-Yin Huang
The author would like to thank Chen Ching General
Hospital and DVNET Technologies Co. for providing
the precious pictures in this chapter. Research projects
93-2218-E-029-001 and 94-2213-E-029-013 are also
gratefully acknowledged for the knowledge discovery
on breast cancer patient records, supported by the Na-
tional Science Council, Taiwan.
H.81 Nanoelectronic-Based Detection
for Biology and Medicine
by Samir M. Iqbal, Rashid Bashir
The authors would like to acknowledge and thank
Oguz H. Elibol and Bala Murali K. Vekatesan for
help with literature collection, and Salman B. Inayat
and Syed H. Shah for manuscript review. S.M. Iqbal
acknowledges support from University of Texas at Ar-
lington Research Enhancement Program.
I.85 Automation in Education/Learning Systems
by Kazuyoshi Ishii, Kinnya Tamaki
The case studies were supported by The Re-
search Center for e-Learning Professional Competency
(eLPCO) in the Research Institute of Aoyama Gakuin
University and The Research Center for Social and In-
dustrial Management Systems of Kanazawa Institute of
Technology. We would like to thank the staff of the
organization for their cooperation with these studies.
Also, one of the cases was supported in part by a grant-
in-aid for Scientific Research of the Japanese Ministry
of Education, Culture, Sports, Science, and Technology
under contract number C19510160 (2007–2008).
I.88 Collaborative e-Work, e-Business, and e-
Service
by Juan D. Velásquez, Shimon Y. Nof
Research reported in this chapter has been devel-
oped at the PRISM Center of Purdue University with
NSF, Indiana 21st Century fund for Science and Tech-
nology, and substantial industry support.
Special thanks are due to: our colleagues, our visit-
ing scholars, and the many students at the PRISM Lab
and the PRISM Global Research Network worldwide;
and the International Foundation of Production research
(IFPR) and the International Federation of Automatic
Control (IFAC) Committee CC5 for Manufacturing and
Logistics Systems, many of whom are also chapter co-
authors in this Handbook. They have all collaborated
with us to develop, over many years, e-work and collab-
orative control theory knowledge.
I.92 e-Government
by Dieter Rombach, Petra Steffens
The authors would like to thank the following per-
sons for valuable comments, enlightening discussion,
Acknowl.