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Displaying 1076 - 1100 of 143604

Human-in-the-loop Technical Document Annotation: Developing and Validating a System to Provide Machine-Assistance for Domain-Specific Text Analysis

May 14, 2024
Author(s)
Juan Fung, Zongxia Li, Daniel Stephens, Andrew Mao, Pranav Goel, Emily Walpole, Alden A. Dima, Jordan Boyd-Graber
In this report, we address the following question: to what extent can machine learning assist a human with traditional text analysis, such as content analysis or grounded theory in the social sciences? In practice, such tasks require humans to review and

Measurement-driven neural-network training for integrated magnetic tunnel junction arrays

May 14, 2024
Author(s)
William Borders, Advait Madhavan, Matthew Daniels, Vasileia Georgiou, Martin Lueker-Boden, Tiffany Santos, Patrick Braganca, Mark Stiles, Jabez J. McClelland, Brian Hoskins
The increasing scale of neural networks needed to support more complex applications has led to an increasing requirement for area- and energy-efficient hardware. One route to meeting the budget for these applications is to circumvent the von Neumann

Recommendations on fit-for-purpose criteria to establish a quality management for microphysiological systems (MPS) and for monitoring of their reproducibility

May 14, 2024
Author(s)
David Pamies, Jason Ekert, Marie-Gabrielle Zurich, Olivier Frey, Sophie Werner, MONICA PIERGIOVANNI, Benjamin Freedman, Adrian Keong, Darwin Reyes-Hernandez, Hendrik Erfurth, Peter Loskill, Pelin Candarlioglu, Shan Wang, Thomas Hartung, Sandra Coecke, Glyn Stacey, Marcel Leist
Cell culture technology has seen great innovations and progress in the 21st centuryClassical single-cell and monolayer models have been replaced by more complex 3D models (e.g., reaggregates, spheroids, organoids) to improve the predictivity of in vitro

Underestimation of Thermogenic Methane Emissions in New York City (New York City methane emissions: what are we missing?)

May 14, 2024
Author(s)
Joseph R. Pitt, Israel Lopez Coto, Anna Karion, Kristian D. Hajny, Jay M. Tomlin, Robert Kaeser, Thilina Jayarathne, Brian H. Stirm, Cody R. Floerchinger, Christopher P. Loughner, Roisin Commane, Conor K. Gately, Lucy R. Hutyra, Kevin R. Gurney, Geoffrey S. Roest, Jianming Liang, Sharon Gourdji, Kimberly Mueller, James Whetstone, Paul B. Shepson
Recent studies have shown that methane emissions are underestimated by inventories in many US urban areas. This has important implications for climate change mitigation policy at the city, state, and national levels. Uncertainty in both the spatial

A 0.1 GHz to 1.1 THz Inverted Grounded-CPW mTRL Calibration Kit Characterization in an InP HBT Process

May 13, 2024
Author(s)
Jerome Cheron, Rob Jones, Dylan Williams, Miguel Urteaga, Bryan Bosworth, Nick Jungwirth, Jeffrey Jargon, Ben Jamroz, Chris Long, Nate Orloff, Ari Feldman, Peter Aaen
We report a novel design approach of on-wafer multiline thru-reflect-line (mTRL) calibration kit fabricated on a commercial semiconductor-based transistor process that we validate from 0.1 GHz to 1.1 THz. The on-wafer calibration standards are designed

Do good: strategies for leading an inclusive data science or statistics consulting team

May 12, 2024
Author(s)
Christina Maimone, Julia Sharp, Ofira Schwartz-Soicher, Jeffrey Oliver, Lencia Beltran
Leading a data science or statistical consulting team in an academic environment can have many challenges including institutional infrastructure, funding, and technical expertise. Even in the most challenging environment, however, leading such a team with

High-Glide Refrigerant Blends in High-Temperature Heat Pumps: Part 2 - Inline Composition Determination for Binary Mixtures

May 10, 2024
Author(s)
Leon Brendel, Silvan Bernal, Carl Hemprich, Aaron Rowane, Ian Bell, Dennis Roskosch, Cordin Arpagus, Andre Bardow, Stefan Bertsch
Refrigerant mixtures are frequently used in air-conditioners and heat pumps. However, mixtures with high glides of 30 K and more during evaporation are rare, partially because there is an increased concern about composition shifts within the system. An

Entangled photon pair generation in an integrated SiC platform

May 9, 2024
Author(s)
Anouar Rahmouni, Lijun Ma, Ruixuan Wang, Jingwei Li, Xiao Tang, Thomas Gerrits, Qing Li, Oliver T. Slattery
Entanglement plays a vital role in quantum information processing. Owing to its unique material properties, silicon carbide recently emerged as a promising candidate for the scalable implementation of advanced quantum information processing capabilities

NIST Conference Papers Fiscal Year 2022

May 9, 2024
Author(s)
Kathryn Miller, Julie Jew, Myriam S. Dilawari
This Special Publication represents the work of researchers at professional conferences, as reported by NIST employees in Fiscal Year 2022 (October 1, 2021–September 30, 2022).

An atomic boson sampler

May 8, 2024
Author(s)
Aaron Young, Shawn Geller, William Eckner, Nathan Schine, Scott Glancy, Emanuel Knill, Adam Kaufman

Robustness of the projected squeezed state protocol

May 8, 2024
Author(s)
Byron Alexander, John J. Bollinger, Mark Tame
Projected squeezed (PS) states are multipartite entangled states generated by unitary spin squeezing, followed by a quantum measurement and post-selection. They lead to an appreciable decrease in the state preparation time of the maximally entangled N

Rydberg states of alkali atoms in atomic vapor as SI-traceable field probes and communications receivers

May 8, 2024
Author(s)
Noah Schlossberger, Nik Prajapati, Samuel Berweger, Andrew Rotunno, Aly Artusio-Glimpse, Abrar Sheikh, Eric Norrgard, Christopher L. Holloway, Stephen Eckel
Rydberg states of alkali atoms are highly sensitive to electric fields because their electron wavefunction has a large spatial extent, leading to large polarizabilities for static fields and large transition dipole moments for time-varying fields

Rydberg states of alkali atoms in atomic vapor as SI-traceable field probes and communications receivers

May 8, 2024
Author(s)
Noah Schlossberger, Nik Prajapati, Samuel Berweger, Aly Artusio-Glimpse, Matt Simons, Abrar Sheikh, Andrew Rotunno, Eric Norrgard, Stephen Eckel, Christopher L. Holloway
Rydberg states of alkali atoms are highly sensitive to electric fields because their electron wavefunction has a large spatial extent, leading to large polarizabilities for static fields and large transition dipole moments for time-varying fields

Single-electron states of phosphorus-atom arrays in silicon

May 8, 2024
Author(s)
Maicol Ochoa, Keyi Liu, Michal Zielinski, Garnett W. Bryant
We characterize the single-electron energies and the wavefunction structure of arrays with two, three, and four phosphorus atoms in silicon by implementing atomistic tight-binding calculations and analyzing wavefunction overlaps to identify the single

Usability for Poll Workers: A Voting System Usability Test Protocol

May 8, 2024
Author(s)
Dana Chisnell, Sharon J. Laskowski, Karen Bachmann, Svetlana Z. Lowry
In this paper, we discuss our efforts to develop a repeatable test protocol for assessing usability for poll workers – temporary election officials who ensure secure and private voting in voting places. The research described in this paper is part of a

Access Control on NoSQL Databases

May 7, 2024
Author(s)
Vincent C. Hu
NoSQL database systems and data stores often outperform traditional RDBMS in various aspects, such as data analysis efficiency, system performance, ease of deployment, flexibility/scalability of data management, and users' availability. However, with an
Displaying 1076 - 1100 of 143604