Now showing items 222-230 of 230

    • A Unified Approach for Solving Sequential Selection Problems 

      Goldenshluger, Alexander; Malinovsky, Yaakov; Zeevi, Assaf (2019-05-27)
      In this paper we develop a unified approach for solving a wide class of sequential selection problems. This class includes, but is not limited to, selection problems with no-information, rank-dependent rewards, and considers ...
    • A Unified Approach for Solving Sequential Selection Problems 

      Goldenshluger, Alexander; Malinovsky, Yaakov; Zeevi, Assaf (2019-01-25)
      In this paper we develop a unified approach for solving a wide class of sequential selection problems. This class includes, but is not limited to, selection problems with no–information, rank–dependent rewards, and ...
    • Use of Deep Learning to Classify Compton Camera Based Prompt Gamma Imaging for Proton Radiotherapy 

      Basalyga, Jonathan N.; Kroiz, Gerson C.; Barajas, Carlos A.; Gobbert, Matthias K.; Maggi, Paul; Polf, Jerimy
      Real-time imaging has potential to greatly increase the effectiveness of proton beam therapy for cancer treatment. One promising method of real-time imaging is the use of a Compton camera to detect prompt gamma rays, which ...
    • Using Machine Learning Techniques for Supercell Tornado Prediction with Environmental Sounding Data 

      Coffer, Brice; Kubacki, Michaela; Wen, Yixin; Zhang, Ting; Barajas, Carlos A.; Gobbert, Matthias K.
      Tornadoes pose a forecast challenge to National Weather Service forecasters because of their quick development and potential for life-threatening damage. The use of machine learning in severe weather forecasting has recently ...
    • Using Reading Quizzes in STEM Classes—The What, Why, and How 

      Hodges, Linda C.; Anderson, Eric C.; Carpenter, Tara S.; Cui, Lili; Gierasch, Tiffany Malinky; Leupen, Sarah; Nanes, Kalman M.; Wagner, Cynthia R. (National Science Teachers Association, 2015)
      Many active learning pedagogies depend on students' preparing for class in advance. One common method for holding students accountable for this preparation is the use of reading quizzes. When used thoughtfully, reading ...
    • Validation of a Model of a Resonant Optothermoacoustic Trace Gas Sensor 

      Petra, N.; Zweck, J.; Minkoff, S. E.; Kosterev, A. A.; Doty, J. H. (OSA, 2011-06)
      A model for a resonant optothermoacoustic sensor is validated by comparison with experiments performed with 0.5% acetylene in nitrogen. At low concentrations, the molecular dynamics of the trace gas do not influence the signal.
    • Visual Deficits and Dysfunctions Associated with Traumatic Brain Injury: A Systematic Review and Meta-analysis 

      Merezhinskaya, Natalya; Mallia, Rita K.; Park, DoHwan; Bryden, Daniel W.; Mathur, Karan; Barker II, Felix M (American Academy of Optometry, 2019-05-04)
      SIGNIFICANCE This study reports prevalence data combined independently for accommodative dysfunction, convergence insufficiency, visual field loss, and visual acuity loss in patients with traumatic brain injury in the ...
    • Water Quality Monitoring of Maryland’s Tidal Waterways 

      Le, Rosemary K.; Rackauckas, Christopher V.; Ross, Anne S.; Ulloa, Nehemias (2012)
      The Chesapeake Bay and its surrounding tributaries are home to over 3,600 species of plants and animals. In order to assess the health of the region, the Maryland Department of Natural Resources (DNR) monitors various ...
    • Weak Solutions for a Poro-elastic Plate System 

      Gurvich, Elena; Webster, Justin T. (2021-03-16)
      We consider a recent plate model obtained as a scaled limit of the three dimensional Biot system of poro-elasticity. The result is a "2.5" dimensional linear system that couples traditional Euler-Bernoulli plate dynamics ...