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19912026
Showing 2019Show all

427 papers · 1 filter

math.GT2019★ 4 cited

Stable homotopy refinement of quantum annular homology

Rostislav Akhmechet, Vyacheslav Krushkal, Michael Willis

We construct a stable homotopy refinement of quantum annular homology, a link homology theory introduced by Beliakova, Putyra and Wehrli. For each we associate to an annu…

astro-ph.GA2019★ 8 cited

Investigation of Chemical Differentiation among the NGC2264 Cluster-Forming Clumps

Kotomi Taniguchi, Adele Plunkett, Eric Herbst +4

We have carried out mapping observations of molecular emission lines of HCN and CHOH toward two massive cluster-forming clumps, NGC2264-C and NGC2264-D, using the Nobey…

astro-ph.GA2019★ 19 cited

Structural and Dynamical Analysis of 0.1pc Cores and Filaments in the 30~Doradus-10 Giant Molecular Cloud

Remy Indebetouw, Tony Wong, C. -H. Rosie Chen +4

High-resolution (0.1pc) ALMA observations of the 30Dor-10 molecular cloud 15pc north of R136 are presented. The CO 2-1 emission morphology contains clumps near the locati…

cs.NE2019★ 2 cited

Universal Hysteresis Identification Using Extended Preisach Neural Network

Mojtaba Farrokh, Mehrdad Shafiei Dizaji, Farzad Shafiei Dizaji +1

Hysteresis phenomena have been observed in different branches of physics and engineering sciences. Therefore, several models have been proposed for hysteresis simulation in differe…

cs.LG2019★ 3 cited

Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data

Ruocheng Guo, Jundong Li, Huan Liu

Counterfactual evaluation of novel treatment assignment functions (e.g., advertising algorithms and recommender systems) is one of the most crucial causal inference problems for pr…

physics.flu-dyn2019★ 62 cited

Flow Transitions and Mapping for Undulating Swimmers

Muhammad Saif Ullah Khalid, Junshi Wang, Haibo Dong +1

Natural swimmers usually perform undulations to propel themselves and perform a range of maneuvers. These include various biological species ranging from micro-sized organisms to l…