• Machine Learning-Based Renewable and Load Forecasting in Power and Energy Systems 

  Feng, Cong; 0000-0003-2866-0716 (2020-05-11)

  In the past decades, the power electricity industry has undergone tremendous evolution, which ends up with the development and establishment of electricity markets. This transformation breaks up generation services into a ...

• A Solid-State, High-Energy Neutron Detector Based on Neutron-Induced Fission of Uranium-238 

  Rozhdestvenskyy, Sergiy Mykhaylovich; 0000-0002-1488-0497 (2020-07-16)

  Heavy ion therapy is being applied as an alternative to photon radiotherapy for cancer treatment. Improving on traditional X-ray and γ-ray techniques, ion therapy enables precise radiation dose delivery to tumors with ...

• Synthesis and Characterization of ScMGa¬5 (M = Fe, Co, Ni) And Yb1-xScxCoGa¬5 (0 ≤ x ≤ 1) 

  Green, Lance M (2020-08-03)

  The crystal structures of ScMGa5 (M = Fe, Co, Ni) have been determined by single crystal X-ray diffraction for crystals grown from a gallium self-flux. The synthesis and characterization of Yb1- xScxCoGa5 (0 ≤ x ≤ 1) is ...

• Reporting of Sample Size Parameters in Randomized Controlled Trials Published in Prosthodontic Journals 

  Dumbrigue, Herman B.; Dumbrigue, Ethan C.; Dumbrigue, Derek C.; Chingbingyong, Marianne I. (Wiley, 2018-12-18)

  Purpose: An important consideration in the proper planning of randomized controlled trials (RCTs) is the determination of sample size. A study may fail to answer its research question if the sample size is inadequate, while ...

• Approximating The (Continuous) Fréchet Distance 

  Colombe, Connor L. (2020-08)

  We describe the first strongly subquadratic time algorithm with subexponential approximation ratio for approximately computing the Fréchet distance between two polygonal chains. Specifically, let P and Q be two polygonal ...

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