ScholarWorks@UMBC
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ScholarWorks@UMBC, a part of MD-SOAR (The Maryland Shared Open Access Repository), collects, preserves, and provides public access to the scholarly output of the University of Maryland, Baltimore County (UMBC). Community members can upload research products for rapid dissemination, global visibility and impact, and long-term preservation.
You can use ScholarWork@UMBC to share and preserve a wide range of research products, such as articles, papers, books, and technical reports. To get started, review our short guide to submitting, here.
All UMBC academic and administrative departments are eligible to have their own unique page set up in the repository for their materials. Departments that don't yet have their own page can contact call 410-455-3021 or e-mail scholarworks-group@umbc.edu to get a page set up.
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About UMBC and Its People
This collection consists of links to articles about UMBC or people affiliated with UMBC.
Recent Submissions
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The Acidity of Atmospheric Particles and Clouds
(EGU, 2019-10-18)Acidity, defined as pH, is a central component of aqueous chemistry. In the atmosphere, the acidity of condensed phases (aerosol particles, cloud water, and fog droplets) governs the phase partitioning of semi-volatile ... -
Ten Helpful Ideas for Teaching English to Young Learners
(American English, 2006)This article contains some helpful ideas to incorporate into the Teaching English to Young Learners (TEYL) classroom. These ideas come from the discussions and assignments done in an online English as a Foreign Language ... -
Detecting Adversarial Examples in Deep Neural Networks using Normalizing Filters
(ScitePress, 2019)Deep neural networks are vulnerable to adversarial examples which are inputs modified with unnoticeable but malicious perturbations. Most defending methods only focus on tuning the DNN itself, but we propose a novel ... -
Evaluation of Data-Driven Causality Discovery Approaches among Dominant Climate Modes
(HPCF UMBC, 2019)Identification of causal networks in atmospheric teleconnection patterns has applications in many climate studies. We evaluate and compare three data-driven causal discovery methods in locating and linking causation of ... -
Dust Detection in Satellite Data using Convolutional Neural Networks
(HPCF UMBC, 2019)Atmospheric dust is known to cause health ailments and impacts earth’s climate and weather patterns. Due to the many issues atmospheric dust contributes to, it is important to study dust patterns and how it enters the ... -
Turbulence-free two-photon double-slit interference with coherent and incoherent light
(Optical Society of America, 2019-11-11)This article reports a study on a turbulence-free Young’s double-slit interferometer. When the environmental turbulence blurs out the classic Young’s double-slit interference completely, a two-photon interference pattern ... -
Transnational Latin American Feminism and the Academy
(University System of Maryland, 2013-12-06) -
Clarifying linkages between canopy solar induced fluorescence (SIF) and physiological function for high latitude vegetation
(National Aeronautics and Space Administration, 2018)Remote sensing of Solar-Induced Fluorescence (SIF) is a growing and dynamic research field that has the potential to provide innovative tools for monitoring plant status and photosynthetic function and transform global ... -
World War II and the Shaping of Postwar America: Politics, Domestic Policy, and the Political Economy
(Cincinnati Museum Center, 1996-06) -
The Election of 1940
(Arizona State University, 2018-04-30)While the war in Europe played a significant role in the parties’ nominations for the presidential election of 1940, it had a relatively small part, and less than is usually understood, in voting. -
World War II and the American Home Front
(National Park Services, 2007-10)The purpose of the study is to identify historic places that best represent the wartime mobilization that occurred in the United States and its territories and possessions between 1939 and 1945 to assist in identifying ... -
Effects of exposure to ¹²C and ⁴He particles on cognitive performance of intact and ovariectomized female rats
(Elsevier Ltd., 2019-07-10)Exposure to the types of radiation encountered outside the magnetic field of the earth can disrupt cognitive performance. Exploratory class missions to other planets will include both male and female astronauts. Because ... -
Quantum speed limits and the maximal rate of entropy production
(2019-10-16)The Bremermann-Bekenstein bound sets a fundamental upper limit on the rate with which information can be processed. However, the original treatment heavily relies on cosmological properties and plausibility arguments. In ... -
Orthogonality Catastrophe as a Consequence of the Quantum Speed Limit
(2019-10-25)A remarkable feature of quantum many-body systems is the orthogonality catastrophe which describes their extensively growing sensitivity to local perturbations and plays an important role in condensed matter physics. Here ... -
Bosons Outperform Fermions – The Thermodynamic Advantage of Symmetry
(2019-10-11)We examine a quantum Otto engine with a harmonic working medium consisting of two particles to explore the use of wave function symmetry as an accessible resource. It is shown that the bosonic system displays enhanced ... -
Large Deflections of Inextensible Cantilevers: Modeling, Theory, and Simulation
(2019-10-16)A recent large deflection cantilever model is considered. The principal nonlinear effects come through the beam’s inextensibility—local arc length preservation—rather than traditional extensible effects attributed to ... -
Benchmarking Parallel K-Means Cloud Type Clustering from Satellite Data
(Springer, Cham, 2019-10-08)The study of clouds, i.e., where they occur and what are their characteristics, plays a key role in the understanding of climate change. Clustering is a common machine learning technique used in atmospheric science to ...
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