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Search Publications by: N. Alan Heckert (Fed)

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Displaying 1 - 25 of 93

Humanized Monoclonal Antibody IgG1k, NISTmAb RM 8671 Summary of 5 Year Stability Verification (5YSV)

March 31, 2023
Author(s)
Katharina Yandrofski, John E. Schiel, Trina Mouchahoir, Srivalli Telikepalli, N. Alan Heckert, Dean C. Ripple, Paul C. DeRose, Karen W. Phinney, John Marino
NISTmAb RM 8671 is an IgG1κ monoclonal antibody that has been extensively characterized and released as the first of its kind biopharmaceutical reference material in 2016. This material was intended primarily for use in evaluating the performance of

Characterization of Reference Materials 8690 to 8693

February 13, 2023
Author(s)
Jessica Reiner, Benjamin Place, N. Alan Heckert, Katherine Peter, Alix Rodowa
The National Institute of Standards and Technology (NIST) Reference Materials (RMs) 8690 Per- and Polyfluoroalkyl Substances (PFAS) in Aqueous Film-Forming Foams (AFFF) Formulation I, RM 8691 Per- and Polyfluoroalkyl Substances (PFAS) in Aqueous Film

2022 NCWM-NIST National Survey on 20 lb LPG (Propane) Cylinders

October 19, 2022
Author(s)
David Sefcik, Katrice Lippa, N. Alan Heckert, Stephen Benjamin, Ivan Hankins, Don Onwiler
The National Conference on Weights and Measures (NCWM) in partnership and cooperation with the NIST Office of Weights and Measures (OWM) and the Weights and Measures Divisions of select U.S. States initiated the 2022 National Survey on 20 lb LPG (Propane)

Interlaboratory Attribute Analytics Metrics from the MAM Consortium Round Robin Study

August 26, 2022
Author(s)
Trina Mouchahoir, John E. Schiel, Rich Rogers, N. Alan Heckert, Benjamin Place, Aaron Ammerman, Xiaoxiao Li, Tom Robinson, Brian Schmidt, Chris M. Chumsae, Xinbi Li, Anton V. Manuilov, Bo Yan, Gregory O. Staples, Da Ren, Alexander J. Veach, Dongdong Wang, Wael Yared, Zoran Sosic, Yan Wang, Li Zang, Anthony M. Leone, Peiran Liu, Richard Ludwig, Li Tao, Wei Wu, Ahmet Cansizoglu, Andrew Hanneman, Greg W. Adams, Irina Perdivara, Hunter Walker, Margo Wilson, Arnd Brandenburg, Nick DeGraan-Weber, Stefano Gotta, Joe Shambaugh, Melissa Alvarez, X. Christopher Yu, Li Cao, Chun Shao, Andrew Mahan, Hirsh Nanda, Kristen Nields, Nancy Nightlinger, Ben Niu, Jihong Wang, Wei Xu, Gabriella Leo, Nunzio Sepe, Yan-Hui Liu, Bhumit A. Patel, Douglas Richardson, Yi Wang, Daniela Tizabi, Oleg V. Borisov, Yali Lu, Ernest L. Maynard, Albrecht Gruhler, Kim F. Haselmann, Thomas N. Krogh, Carsten P. Sonksen, Simon Letarte, Sean Shen, Kristin Boggio, Keith Johnson, Wenqin Ni, Himakshi Patel, David Ripley, Jason C. Rouse, Ying Zhang, Carly Daniels, Andrew Dawdy, Olga Friese, Thomas W. Powers, Justin B. Sperry, Josh Woods, Eric Carlson, K. Ilker Sen, St John Skilton, Michelle Busch, Anders Lund, Martha Stapels, Xu Guo, Sibylle Heidelberger, Harini Kaluarachchi, Sean McCarthy, John Kim, Jing Zhen, Ying Zhou, Sarah Rogstad, Xiaoshi Wang, Jing Fang, Weibin Chen, Ying Qing Yu, John G. Hoogerheide, Rebecca Scott, Hua Yuan
The multi-attribute method (MAM) was conceived as a single assay to potentially replace multiple single-attribute assays that have long been used in process development and quality control (QC) for protein therapeutics. MAM is rooted in traditional peptide

Certification of Standard Reference Material(R) 1936 Great Lakes Sediment

September 23, 2021
Author(s)
Jacqueline Bangma, Debra Ellisor, Michael Ellisor, N. Alan Heckert, Jennifer Hoguet, Kevin Huncik, Jennifer Ness, Jessica Reiner
Standard Reference Material (SRM) 1936 Great Lakes Sediment is intended for 1) use in validating calibration and validation materials for sediment analysis methods and 2) value assigning in house produced control materials analyzed using those methods. A

Neural Networks for Classifying Probability Distributions

April 19, 2021
Author(s)
Siham Khoussi, N. Alan Heckert, Abdella Battou, Saddek Bensalem
Probability distribution fitting of an unknown stochastic process is an important preliminary step for any further analysis in science or engineering. However, it requires some background in statistics and prior considerations of the process or phenomenon

Certification of Standard Reference Material(R) 2686b Portland Cement Clinker

April 12, 2021
Author(s)
N. Alan Heckert, Laura Mundy, Paul E. Stutzman
A new Standard Reference Material® (SRM) for portland cement clinker has been produced for the Office of Standard Reference Materials at the National Institute of Standards and Technology (NIST). The SRM clinkers are intended for use in developing and

New Peak Detection Performance Metrics from the MAM Consortium Interlaboratory Study

March 12, 2021
Author(s)
Catherine A. Mouchahoir, John E. Schiel, Rich Rogers, N. Alan Heckert, Benjamin Place, Aaron Ammerman, Xiaoxiao Li, Tom Robinson, Brian Schmidt, Chris M. Chumsae, Xinbi Li, Anton V. Manuilov, Bo Yan, Gregory O. Staples, Da Ren, Alexander J. Veach, Dongdong Wang, Wael Yared, Zoran Sosic, Yan Wang, Li Zang, Anthony M. Leone, Peiran Liu, Richard Ludwig, Li Tao, Wei Wu, Ahmet Cansizoglu, Andrew Hanneman, Greg W. Adams, Irina Perdivara, Hunter Walker, Margo Wilson, Arnd Brandenburg, Nick DeGraan-Weber, Stefano Gotta, Joe Shambaugh, Melissa Alvarez, X. Christopher Yu, Li Cao, Chun Shao, Andrew Mahan, Hirsh Nanda, Kristen Nields, Nancy Nightlinger, Helena Maria Barysz, Michael Jahn, Ben Niu, Jihong Wang, Gabriella Leo, Nunzio Sepe, Yan-Hui Liu, Bhumit A. Patel, Douglas Richardson, Yi Wang, Daniela Tizabi, Oleg V. Borisov, Yali Lu, Ernest L. Maynard, Albrecht Gruhler, Kim F. Haselmann, Thomas N. Krogh, Carsten P. Sonksen, Simon Letarte, Sean Shen, Kristin Boggio, Keith Johnson, Wenqin Ni, Hamakshi Patel, David Ripley, Jason C. Rouse, Ying Zhang, Carly Daniels, Andrew Dawdy, Olga Friese, Thomas W. Powers, Justin B. Sperry, Josh Woods, Eric Carlson, K. Ilker Sen, St John Skilton, Michelle Busch, Anders Lund, Martha Stapels, Xu Guo, Sibylle Heidelberger, Harini Kaluarachchi, Sean McCarthy, John Kim, Jing Zhen, Ying Zhou, Sarah Rogstad, Xiaoshi Wang, Jing Fang, Weibin Chen, Ying Qing Yu, John G. Hoogerheide, Rebecca Scott, Hua Yuan
The Multi-Attribute Method (MAM) Consortium was initially formed as a venue to harmonize best practices, share experiences and generate innovative methodologies to facilitate widespread integration of the MAM platform, which is an emerging ultra-high

Role of Uncertainty in the Durability of Composite Material Systems

August 17, 2020
Author(s)
Jeffrey T. Fong, Nathanael A. Heckert, James J. Filliben
This paper is a chapter invited by the editor of a book to be published by Elsevier in 2020. The title of the book is "Durability of Composite Systems," and the editor is Prof. Kenneth Reifsnider, N.A.E., University of Texas at Arlington, Arlington, TX, U

Certification of Standard Reference Material(R) 1450e Fibrous Glass Board

April 17, 2020
Author(s)
Robert R. Zarr, Nathanael A. Heckert
Thermal conductivity measurements at and near room temperature are presented as the basis for certified values of thermal conductivity for SRM 1450e, Fibrous Glass Board. The meas-urements have been conducted in accordance with a randomized full factorial

Design of an intelligent PYTHON code to run coupled and license-free finite-element and statistical analysis software for calibration of near-field scanning microwave microscopes

October 2, 2019
Author(s)
Jeffrey T. Fong, N. Alan Heckert, James Filliben, Pedro V. Marcal, Samuel Berweger, Thomas Mitchell (Mitch) Wallis, Pavel Kabos
To calibrate near-field scanning microwave microscopes (NSMM) for defect detection and characterization in semiconductors, it is common to develop a parametric finite element analysis (FEA) code to guide the microscope user on how to optimize the settings

DESIGN OF AN INTELLIGENT PYTHON CODE FOR VALIDATING CRACK GROWTH EXPONENT BY MONITORING A CRACK OF ZIG-ZAG SHAPE IN A CRACKED PIPE

July 27, 2019
Author(s)
Jeffrey T. Fong, Pedro V. Marcal, Robert B. Rainsberger, Nathanael A. Heckert, James J. Filliben
When a small crack is detected in a pressure vessel or piping, we can estimate the fatigue life of the vessel or piping by applying the classical law of fracture mechanics for crack growth if we are certain that the crack growth exponent is correct and the

A General Methodology for Deriving Network Propagation Models of Computer Worms

February 14, 2019
Author(s)
Shuvo Bardhan, Douglas C. Montgomery, James J. Filliben, Nathanael A. Heckert
Externally-launched computer worms which maliciously propagate within networks are one of the most serious and dangerous security threats facing the commercial, political, military, and research community today. With an eye to the ultimate goal of

ASTM E2677: Web-based International Standard on Limit of Detection for Explosive Trace Detectors (and More) - Opioids and Ozone

February 12, 2019
Author(s)
R M. Verkouteren, Nathanael A. Heckert, Stefan D. Leigh, Edward R. Sisco, James E. Norris, Jeffrey A. Lawrence, Amber Burns
The performance characteristics of explosive and narcotic trace detectors are mission-critical to agencies worldwide that are charged with protection of the public, defense for mass transit and infrastructure, and the safety of first responders. Commercial

Uncertainty Quantification of Failure Probability and a Dynamic Risk Analysis of Decision Making for Maintenance of Ageing Infrastructure

January 2, 2019
Author(s)
Jeffrey T. Fong, James J. Filliben, Nathanael A. Heckert, Dennis D. Leber, Paul A. Berkman, Robert E. Chapman
Risk, as the product of failure probability and failure consequence, has been estimated and applied by engineers and managers to help make critical decisions on (a) maintenance of ageing plants, and (b) planning of new infrastructure. For ageing plants

THREE APPROACHES TO QUANTIFICATION OF NDE UNCERTAINTY AND A DETAILED EXPOSITION OF THE EXPERT PANEL APPROACH USING THE SHEFFIELD ELICITATION FRAMEWORK

July 15, 2018
Author(s)
Jeffrey T. Fong, Nathanael A. Heckert, James J. Filliben, Steven R. Doctor
The ASME Boiler & Pressure Vessel Code Section XI Committee is currently developing a new Division 2 nuclear code entitled the "Reliability and Integrity Management (RIM) program," with which one is able to arrive at a risk-informed, NDE-based engineering