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Displaying 1 - 25 of 53147

Nanopore sensing: a physical-chemical approach

September 1, 2021
Joseph W. Robertson, Madhav Ghimire, Joseph Reiner
Protein nanopores have emerged as an important class of sensor, for the understanding of biophysical processes, such as molecular transport across membranes, and detection and characterization of biopolymers. We trace the development of these sensors from

Design of a 3000 pixel transition-edge sensor x-ray spectrometer for microcircuit tomography

August 1, 2021
Paul Szypryt, Douglas Bennett, William J. Boone, Amber L. Dagel, G Dalton, William Doriese, Malcolm Durkin, Joseph Fowler, Edward Garboczi, Jonathon D. Gard, Gene Hilton, Jozsef Imrek, E S. Jimenez, Vincent Y. Kotsubo, K Larson, Zachary H. Levine, John Mates, D McArthur, Kelsey Morgan, Nathan J. Nakamura, Galen O'Neil, Nathan Ortiz, Christine G. Pappas, Carl Reintsema, Dan Schmidt, Daniel Swetz, K R. Thompson, Joel Ullom, C Walker, Joel C. Weber, Abigail Wessels, J W. Wheeler
Feature sizes in integrated circuits have decreased substantially over time, and it has become increasingly difficult to three-dimensionally image these complex circuits after fabrication. This can be important for process development, defect analysis, and

Creation and Release of an Updated NIST DART-MS Forensics Database

June 17, 2021
Edward Sisco, Arun Moorthy, Laura M. Watt
Facing increasing caseloads and an everchanging drug landscape, forensic laboratories have been implementing new analytical tools. Direct analysis in real time mass spectrometry (DART-MS) is often one of these tools because it provides a wealth of

Forensic Applications of DART-MS: A Review of Recent Literature

June 17, 2021
Edward Sisco, Thomas Forbes
The need for rapid chemical analyses and new analytical tools in forensic laboratories continues to grow due to case backlogs, difficult to analyze cases, and identification of previously unseen materials such as new psychoactive substances. To adapt to

Hardware-Enabled Security: Container Platform Security Prototype

June 17, 2021
Murugiah Souppaya, Michael Bartock, Karen Scarfone, Jerry Wheeler, Tim Knoll, Uttam Shetty, Ryan Savino, Joseprabu Inbaraj, Stefano Righi
In today's cloud data centers and edge computing, attack surfaces have significantly increased, hacking has become industrialized, and most security control implementations are not coherent or consistent. The foundation of any data center or edge computing

Ray-based framework for state identification in quantum dot devices

June 17, 2021
Justyna Zwolak, Thomas McJunkin, Sandesh Kalantre, Samuel Neyens, Evan MacQuarrie, Mark A. Eriksson, Jacob Taylor
Quantum dots (QDs) defined with electrostatic gates are one of the leading candidates for scaling up the number of qubits in quantum computing implementations. However, with increasing qubit number, the complexity of the control parameter space also grows

The use of lateral flow immunoassays for the detection of fentanyl in seized drug samples and postmortem urine

June 17, 2021
Daniel J. Angelini, Tracey Biggs, Amber M. Prugh, Jessica A. Smith, Jennifer A. Hanburger, Bob Llano, Raquel Avelar, Angela Ellis, Brady Lusk, Abdallah Naanaa, Edward Sisco, Jennifer W. Sekowski
The opioid crisis has continued to progress in the United States and the rest of the world. As this crisis continues, there is a pressing need for a rapid and cost-effective method for detecting fentanyl. Recent studies have suggested that lateral flow

Copper-binding anticancer peptides fromthepiscidin family: anexpanded mechanism thatencompasses physical andchemical bilayer disruption

June 16, 2021
Fatih Comert, Frank Heinrich, Ananda Chowdhury, Mason Schoeneck, Caitlin Darling, Kyle Anderson, M. Daben J. Libardo, Alfredo Angeles-Boza, Vitalii I. Silin, Myriam Cotten, Mihaela Mihailescu
In the search for novel broad‑spectrum therapeutics to fight chronic infections, inflammation, and cancer, host defense peptides (HDPs) have garnered increasing interest. Characterizing their biologically‑active conformations and minimum motifs for

The Thermal Character of a 1 m Methanol Pool Fire

June 15, 2021
Kunhyuk Sung, Jian Chen, Matthew Bundy, Marco G. Fernandez, Anthony Hamins
This is the second edition of this study, which presents a series of measurements conducted to characterize the structure of a 1 m diameter methanol pool fire steadily burning with a constant lip height in a well-ventilated quiescent environment. The main

Improvement of the spectroscopic parameters of the air- and self-broadened N2O and CO lines for the HITRAN2020 database applications

June 11, 2021
Robab Hashemi, Iouli Gordon, Erin Adkins, Joseph T. Hodges, Manfred Birk, David Long, Chris Boone, Adam Fleisher, Adriana Predoi-Cross, Laurence Rothman
This paper outlines the major update of the line-shape parameters that were performed for the nitrous oxide (N2O) and carbon monoxide (CO) molecules listed in the HITRAN2020 database. We reviewed the collected measurements for the air- and self-broadened

Grain boundary sliding and non-constancy strain during stress relaxation of pure Mg

June 10, 2021
Dilip K. Banerjee, Anand Varma, Aditya Gokhale, Jayant Jain, Krishnaswamy Hariharan
Stress relaxation during plastic deformation has been reported to improve ductility of metallic materials. In this study, the stress relaxation behavior in pure magnesium is investigated during interrupted uniaxial tensile tests. During intermittent

Demonstration that Einstein-Podolsky-Rosen Steering Requires More than One Bit of Faster-than-Light Information Transmission

June 9, 2021
Yu Xiang, Michael Mazurek, Joshua Bienfang, Michael Wayne, Carlos Abellan, Waldimar Amaya, Morgan Mitchell, Richard Mirin, Sae Woo Nam, Qiongyi He, Martin Stevens, Lynden Shalm, Howard Wiseman
Schrödinger held that a local quantum system has some objectively real quantum state and no other (hidden) properties. He therefore took the Einstein-Podolsky-Rosen (EPR) phenomenon, which he generalized and called 'steering', to require nonlocal

VEMOS: A GUI for Evaluation of Similarity Metrics on Complex Data Sets

June 7, 2021
Gunay Dogan, Eve Fleisig
Similarity and dissimilarity metrics are a fundamental component of many tasks requiring the analysis and comparison of complex, often visual data. Applications from deep learning to forensics require ways to effectively identify images, find clusters or
Displaying 1 - 25 of 53147