Zobrazeno 1 - 10 of 202 pro vyhledávání: '"Daniel A. Long"'
1
Akademický článek
Inequality at the Starting Line: Underrepresentation in Gifted Identification and Disparities in Early Achievement
Autor: Daniel A. Long, D. Betsy McCoach, Del Siegle, Carolyn M. Callahan, E. Jean Gubbins
Publikováno v: AERA Open, Vol 9 (2023)
Is underrepresentation of Black students, Latinx students, English learners (EL), and students from economically challenging communities in gifted programs due to inequality in early academic achievement or bias in the gifted identification process?
Externí odkaz: https://doaj.org/article/bc67e811192c44b39ba0a1bc0c071595
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2
Akademický článek
Cryogenic electron microscopy reveals that applied pressure promotes short circuits in Li batteries
Autor: Katharine L. Harrison, Laura C. Merrill, Daniel Martin Long, Steven J. Randolph, Subrahmanyam Goriparti, Joseph Christian, Benjamin Warren, Scott A. Roberts, Stephen J. Harris, Daniel L. Perry, Katherine L. Jungjohann
Publikováno v: iScience, Vol 24, Iss 12, Pp 103394- (2021)
Summary: Li metal anodes are enticing for batteries due to high theoretical charge storage capacity, but commercialization is plagued by dendritic Li growth and short circuits when cycled at high currents. Applied pressure has been suggested to impro
Externí odkaz: https://doaj.org/article/370c58539cc3400091e173b98d23edac
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4
The Inventory Routing Problem Under Uncertainty
Autor: Zheng Cui, Daniel Zhuoyu Long, Jin Qi, Lianmin Zhang
Publikováno v: Operations Research. 71:378-395
In the inventory routing problem, the supplier acts as a central decision maker who determines the replenishment quantities and also, the delivery times and routes to all retailers. In “Inventory Routing Problem Under Uncertainty”, Cui et al. dev
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9334f105796c09a3b6bb6c8f56377f64
https://doi.org/10.1287/opre.2022.2407
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5
Robust Satisficing
Autor: Daniel Zhuoyu Long, Melvyn Sim, Minglong Zhou
Publikováno v: Operations Research. 71:61-82
We present a general framework for robust satisficing that favors solutions for which a risk-aware objective function would best attain an acceptable target even when the actual probability distribution deviates from the empirical distribution. The s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aff9e3ebdaa265d948a159574754f954
https://doi.org/10.1287/opre.2021.2238
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8
Target-Oriented Distributionally Robust Optimization and Its Applications to Surgery Allocation
Autor: Vincent Tsz Fai Chow, Zheng Cui, Daniel Zhuoyu Long
Publikováno v: INFORMS Journal on Computing. 34:2058-2072
In this paper, we propose a decision criterion that characterizes an enveloping bound on monetary risk measures and is computationally friendly. We start by extending the classical value at risk (VaR) measure. Whereas VaR evaluates the threshold loss
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::915b695f8e7168087d2227ee36fdd6a7
https://doi.org/10.1287/ijoc.2021.1145
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9
Supermodularity in Two-Stage Distributionally Robust Optimization
Autor: Daniel Zhuoyu Long, Jin Qi, Aiqi Zhang
Publikováno v: Management Science.
In this paper, we solve a class of two-stage distributionally robust optimization problems that have the property of supermodularity. We exploit the explicit worst case expectation of supermodular functions and derive the worst case distribution for
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a12de00549e8817cda86c3959e9da833
https://doi.org/10.1287/mnsc.2023.4748
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