Autobiographical subnetworks
نویسندگان
چکیده
منابع مشابه
Taxing Subnetworks
We study taxes in the well-known game theoretic traffic model due to Wardrop. Given a network and a subset of edges, on which we can impose taxes, the problem is to find taxes inducing an equilibrium flow of minimal networkwide latency cost. If all edges are taxable, then marginal cost pricing is known to induce the socially optimal flow for arbitrary multi-commodity networks. In contrast, if o...
متن کاملAutobiographical memory and aging
Autobiographical memory, or memory for personal experiences, allows individuals to define themselves and construct a meaningful life story. Current research aims to review the definition and theories of autobiographies memory and how it usually changes or abnormally in older adults. Base on studies, as we grow older autobiographical memory drops off, also semantic memory changes a little or som...
متن کاملAutobiographical notes
I was born in Zagreb (Croatia) on October 26, 1936. My parents were Regina (née Pavić) (April17, 1916, Zagreb–March 9, 1992, Zagreb) and Cvjetko Trinajstić (September 9, 1913, Volosko–October 29, 1998, Richmond, Australia).
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Although the human genome has been sequenced, progress in understanding gene regulation in humans has been particularly slow. Many computational approaches developed for lower eukaryotes to identify cis-regulatory elements and their associated target genes often do not generalize to mammals, largely due to the degenerate and interactive nature of such elements. Motivated by the switch-like beha...
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We introduce the concept of a Reserved Delivery Subnetwork (RDS) to allow an information service provider to deliver a higher quality of service to its customers. A network provider implements an RDS by provisioning reserved bandwidth on paths from a central site to distributed locations, where customers of the information service are located. The amount of bandwidth reserved is a function of t...
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ژورنال
عنوان ژورنال: Science
سال: 2020
ISSN: 0036-8075,1095-9203
DOI: 10.1126/science.369.6503.520-e