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NIST Pubs

July 2010 SRM Spotlight

Author(s)
Regina R. Montgomery
The SRM Spotlight is a newsletter published by the Measurement Services Division for users of NIST standard reference materials. The Spotlight announces new

Forensics Web Services

Author(s)
Anoop Singhal, Murat Gunestas, Duminda Wijesekera
Web services are currently a preferred way to architect and provide complex services. This complexity arises due to the composition of new services and

IUPAC-NIST Solubility Data Series

Author(s)
Allan H. Harvey, Mark Salomon
This is an editorial highlighting the IUPAC-NIST Solubility Data Series, which is published in JPCRD and produced by the IUPAC Subcommittee on Solubility and

Certification of Three NIST Renewal Soil Standard Reference Materials® for Element Content: SRM 2709a San Joaquin Soil, SRM 2710a Montana Soil I, and SRM 2711a Montana Soil II

Author(s)
Elizabeth A. Mackey, Christopher S. Johnson, Richard M. Lindstrom, Stephen E. Long, Anthony F. Marlow, Karen E. Murphy, Rick L. Paul, Rachel S. Popelka-Filcoff, Savelas A. Rabb, John R. Sieber, Rabia Oflaz, Bryan E. Tomlin, Laura J. Wood, James H. Yen, Lee L. Yu, Rolf L. Zeisler, S. A. Wilson, M. G. Adams, Z. A. Brown, P. L. Lamothe, J. E. Taggart, C. Jones, J. Nebelsick
For the past 20 y, the National Institute of Standards and Technology has provided three soil Standard Reference Materials certified for element content: SRM

Precision and Accuracy in Scientific Imaging

Author(s)
Russell A. Kirsch
Digital images are commonly used to represent scientific data. Typically, high resolution images with many square pixels are considered to be necessary under

Study of Proposed Internet Congestion-Control Mechanisms

Author(s)
Kevin L. Mills, James J. Filliben, Dong Y. Cho, Edward J. Schwartz, Daniel I. Genin
This study describes a coherent set of modeling and analysis methods to investigate the behavior of large distributed systems. The methods are applied to

An Other-Race Effect for Face Recognition Algorithms

Author(s)
P J. Phillips, Alice J. O'Toole, Abhijit Narvekar, Fang Jiang, Julianne Ayadd
Psychology research has shown that human face recognition is more accurate for faces of one�s own race than for faces of other races. In recent years, interest
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