MD-SOAR: Recent submissions
Now showing items 21-40 of 15014
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Two-atom interferometer
(American Physiological Society (APS), 2021-03-18)This Letter presents a nonclassical mechanism of two-atom interferometry. The two-atom interferometer introduces two different yet indistinguishable alternatives for randomly paired atoms to create a joint atom-detection ... -
Assessment of the Appropriateness of Antimicrobial Use in US Hospitals
(JAMA Network, 2021-03-18)Importance Hospital antimicrobial consumption data are widely available; however, large-scale assessments of the quality of antimicrobial use in US hospitals are limited. Objective To evaluate the appropriateness of ... -
Long-Run Educational Attainment E ects of Local Colleges: Evidence from the Establishment of US Colleges
(2021-02-16)We study the e ects of a college on local education attainment using historical college establishment experiments in which "runner-up" locations were strongly considered to become college sites but ultimately not chosen ... -
Convolutional LSTM for Planetary Boundary Layer Height (PBLH) Prediction
(AAAI, 2021-03-22)We describe new work that uses deep learning to learn temporal changes in Planetary Boundary Layer Height (PBLH). This work is performed in conjunction with a deep edge detection method that identifies edges in imagery ... -
LSTMs for Inferring Planetary Boundary Layer Height (PBLH)
(AAAI, 2021-03-22)In this paper, we describe new work which is part of a larger study to understand how machine learning could be used to augment existing methods for calculating and estimating the Planetary Boundary Layer Height (PBLH). ... -
On Finer Control of Information Flow in LSTMs
(Springer Nature, 2019-01-18)Since its inception in 1995, the Long Short-Term Memory (LSTM) architecture for recurrent neural networks has shown promising performance, sometimes state-of-art, for various tasks. Aiming at achieving constant error flow ... -
Janus PtXnY2−n (X, Y = S, Se, Te; 0≤n≤2) Monolayers for Enhanced Photocatalytic Water Splitting
(American Physical Society (APS), 2020-06-03)We investigate Janus and alloy structures of PtXnY₂₋ₙ (X, Y = S, Se, Te; 0≤n≤2) materials on the basis of first-principles plane-wave simulations. Using cluster-expansion theory to study alloys of PtXnY₂₋ₙ monolayers at ... -
Improving the Understanding of CrIS Full Spectral Resolution Nonlocal Thermodynamic Equilibrium Radiances Using Spectral Correlation
(AGU Pubication, 2020-07-25)In recent years, significant progress has been made in fast radiative transfer model (RTM) simulation of daytime nonlocal thermodynamic equilibrium (NLTE) emission. However, NLTE remains as one important reason that prevents ... -
The Reprocessed Suomi NPP Satellite Observations
(MDPI, 2020-09-06)The launch of the National Oceanic and Atmospheric Administration (NOAA)/ National Aeronautics and Space Administration (NASA) Suomi National Polar-orbiting Partnership (S-NPP) and its follow-on NOAA Joint Polar Satellite ... -
Near‐Global CFC‐11 Trends as Observed by Atmospheric Infrared Sounder From 2003 to 2018
(AGU Pubication, 2020-10-31)Recent studies have indicated a slowdown of the decline of CFC‐11 concentration since 2012. Ground‐based observations used in such studies have their limitations in terms of global coverage. Here we show that the CFC‐11 ... -
Origins Space Telescope: trades and decisions leading to the baseline mission concept
(SPIE, 2021-03-13)The Origins Space Telescope will trace the history of our origins from the time dust and heavy elements permanently altered the cosmic landscape to present-day life. How did galaxies evolve from the earliest galactic systems ... -
Degrees of Inequity: A Policy and Strategic Alternative Assessment to Identify a Twenty‐First Century Definition of Undue Hardship for Student Loan Debt in the United States
(2020-12-18)This study was undertaken to address issues resulting from the vagueness of imprecisely defined legislative language located in the Bankruptcy Reform Act of 1978 (Public Law 95-598) and subsequent policies, regulations, ... -
Event Representation with Sequential, Semi-Supervised Discrete Variables
(2020-10-16)Within the context of event modeling and understanding, we propose a new method for neural sequence modeling that takes partially-observed sequences of discrete, external knowledge into account. We construct a sequential, ... -
Knowledge Graph Inference using Tensor Embedding
(2020-09-12)Axiom based inference provides a clear and consistent way of reasoning to add more information to a knowledge graph. However, constructing a set of axioms is expensive and requires domain expertise, time, and money. It is ... -
Vertical profiles of droplet size distributions derived from cloud-side observations by the research scanning polarimeter: Tests on simulated data
(Elsevier, 2020-02-25)The Research Scanning Polarimeter (RSP) is an airborne along-track scanner measuring the polarized and total reflectances with high angular resolution. It allows for accurate characterization of liquid water cloud droplet ... -
A machine-learning-based cloud detection and thermodynamic-phase classification algorithm using passive spectral observations
(EGU Publications, 2020-05-11)We trained two Random Forest (RF) machine learning models for cloud mask and cloud thermodynamic-phase detection using spectral observations from Visible Infrared Imaging Radiometer Suite (VIIRS) on board Suomi National ... -
Image segmentation for dust detection using unsupervised machine learning CyberTraining 2020: Big Data + High-Performance Computing + Atmospheric Sciences
(UMBC HPCF, 2020)Dust and sandstorms originating from Earth’s major arid and semi-arid desert areas can significantly affect the climate system and health. Many existing methods use heuristic rules to classify on a pixel-level regarding ... -
Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciences
(UMBC HPCF, 2020)The Arctic sea ice has retreated rapidly in the past few decades, which is believed to be driven by various dynamic and thermodynamic processes in the atmosphere. The newly open water resulted from sea ice decline in ... -
Machine Learning for Retrieving Cloud Optical Thickness from Observed Reflectance: 3D Effects CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciences
(UMBC HPCF, 2020)Clouds are inherently three dimensional (3D), and simulating radiative transfer (RT) properties accurately requires models that take their 3D effects into account. Because 3D models are complex and computationally expensive, ...