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A mummified Pleistocene gray wolf pup
Current Biology, 2020Summary In July 2016, a mummified carcass of an ancient wolf (Canis lupus) pup (specimen YG 648.1) was discovered in thawing permafrost in the Klondike goldfields, near Dawson City, Yukon, Canada ( Figure 1 A). The wolf pup mummy was recovered along a small tributary of Last Chance Creek during hydraulic thawing that exposed the permafrost sediment ...
Julie Meachen +10 more
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Gray-Wyner and Slepian-Wolf Guessing
2020 IEEE International Symposium on Information Theory (ISIT), 2020We study the guessing variants of two distributed source coding problems: the Gray-Wyner network and the Slepian-Wolf network. Building on the former, we propose a new definition of the Renyi common information as the least attainable common rate in the Gray-Wyner guessing problem under the no-excess-rate constraint.
Robert Graczyk, Amos Lapidoth
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Science, 2008
The U.S. Fish and Wildlife Service has put the gray wolf back on the endangered species list. The listing conforms to a U.S. district court order issued in July ( Science , 25 July, p. [475][1]).
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The U.S. Fish and Wildlife Service has put the gray wolf back on the endangered species list. The listing conforms to a U.S. district court order issued in July ( Science , 25 July, p. [475][1]).
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Gray wolf optimization of photonics crossing waveguides
Nanoengineering: Fabrication, Properties, Optics, Thin Films, and Devices XVIII, 2021In this paper, the Gray Wolf (GWO) algorithm has been used to design and to optimize the geometrical parameters of broadband compact silicon on insulator waveguide crossing structure operating in the wavelength range of 1400–1600 nm. The electromagnetic numerical simulations of the waveguide crossing have been conducted by using an efficient frequency ...
Luana da França Vieira +2 more
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Response—How the Gray Wolf Got Its Color
Science, 2009We appreciate and endorse the idea that additional molecular and phenotypic information on natural canid populations will add to our understanding of gene flow and evolutionary histories of domestic dogs and their wild relatives. However, this information could only expand upon, rather than revise, our primary conclusion that the KB allele has been ...
Barsh, GS +12 more
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Gray Wolf Optimizer for hyperspectral band selection
Applied Soft Computing, 2016Graphical abstractDisplay Omitted HighlightsWe propose a new approach for feature selection in hyperspectral image classification.The problem of band selection is reformulated as a combinatorial problem.We design a new objective function which takes into account two term, the classification error rate and the class separability distance.To optimize the
S.A. Medjahed +3 more
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Comment: Reply to Gray and Wolfe
Ethology and Sociobiology, 1982I thank Gray and Wolfe for the empirical orientation and professional tone of their criticism, find no nontrivial fault in their logic, and have no important quarrel with their procedure. Though I do not appreciate their point as persuasive or engaging, it would be naive of me to assume myself to be objective in this regard. Two issues were raised that
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II. Rejoinder to Gray and Wolfe
Inquiry, 1980This rejoinder to J. Patrick Gray's and Linda Wolfe's ‘The Loving Parent Meets the Selfish Gene’ (Inquiry, this issue), which in turn was in response to the author's ‘Human Tragedy and Natural Selection’ (Inquiry, Vol. 21, No. 4), briefly addresses their major objections and suggests that in many instances they have misunderstood the point of that ...
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Modeling Disjunct Gray Wolf Populations in Semi‐Wild Landscapes
Conservation Biology, 1998Gray wolves ( Canis lupus ) in parts of the United States and Europe live in networks of disjunct populations, many of which are close to human settlement. Because wolf management goals include sustaining disjunct populations, it is important to ask what types of areas and protections are ...
Robert G. Haight +2 more
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System Reliability Optimization Using Gray Wolf Optimizer Algorithm
Quality and Reliability Engineering International, 2016For the past two decades, nature‐inspired optimization algorithms have gained enormous popularity among the researchers. On the other hand, complex system reliability optimization problems, which are nonlinear programming problems in nature, are proved to be non‐deterministic polynomial‐time hard (NP‐hard) from a computational point of view.
Anuj Kumar, Sangeeta Pant, Mangey Ram
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