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Publications

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This publications database includes many of the most recent publications of the National Institute of Standards and Technology (NIST). The database, however, is not complete. Additional publications are added on a continual basis.

If you have difficulties in locating a specific publication, please contact inquiries@nist.gov and provide any information you may have, including title, author, publication series, or date published.

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Recent Publications

Restricting α-Synuclein Transport into Mitochondria by Inhibition of α-Synuclein-VDAC Complexation as a Potential Therapeutic Target for Parkinson's Disease Treatment

Author(s)
Megha Rajendran, Maria Queralt-Martin, Philip A. Gurnev, William M. Rosencrans, Amandine Rovini, Daniel Jacobs, Kaitlin Abrantes, David Hoogerheide, Sergey M. Bezrukov, Tatiana Rostovtseva
Involvement of alpha-synuclein (αSyn) in Parkinson's disease (PD) is complicated and difficult to trace on cellular and molecular levels. Recently we

NIST Conference Papers Fiscal Year 2020

Author(s)
Kathryn Miller
This Special Publication represents the work of researchers at professional conferences, as reported by NIST employees in Fiscal Year 2020 (October 1, 2019

Near-edge x-ray absorption and emission of cyanates and thiocyanates

Author(s)
Karina Bzheumikhova, John Vinson, Yves Kayser, Rainer Unterumsberger, Terrence J. Jach, Burkhard Beckhoff
The comparability and reliability of the analysis of the electronic structure of selected cyanates and thio- cyanates at the nitrogen K edge based on BSE

Profile of the IoT Core Baseline for Consumer IoT Products

Author(s)
Katerina N. Megas, Michael Fagan, Jeffrey Marron, Paul Watrobski, Barbara Bell Cuthill
This publication documents the consumer profile of NIST's Internet of Things (IoT) core baseline and identifies cybersecurity capabilities commonly needed for

SerialTrack: ScalE and Rotation Invariant Augmented Lagrangian Particle Tracking

Author(s)
Jin Yang, Yue Yin, Alexander Landauer, Selda Buyukozturk, Jing Zhang, Luke Summey, Alexander McGhee, Matthew Fu, John Dabiri, Christian Franck
We present a new particle tracking algorithm to accurately resolve large deformation and rotational motion fields, which takes advantage of both local and