Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Daniel Reiche"'
Publikováno v:
Entropy, Vol 24, Iss 8, p 1016 (2022)
Thermodynamic uncertainty relations (TURs) represent one of the few broad-based and fundamental relations in our toolbox for tackling the thermodynamics of nonequilibrium systems. One form of TUR quantifies the minimal energetic cost of achieving a c
Externí odkaz:
https://doaj.org/article/c596142f98264b5197e6022e3a1cee5c
Publikováno v:
Entropy, Vol 24, Iss 7, p 870 (2022)
Thermodynamic uncertainty principles make up one of the few rare anchors in the largely uncharted waters of nonequilibrium systems, the fluctuation theorems being the more familiar. In this work we aim to trace the uncertainties of thermodynamic quan
Externí odkaz:
https://doaj.org/article/09ea9286739c4ff4afc58514a2effe44
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract Radiological imaging is a globally prevalent diagnostic method, yet the free text contained in radiology reports is not frequently used for secondary purposes. Natural Language Processing can provide structured data retrieved from these repo
Externí odkaz:
https://doaj.org/article/14664f91135f4259a513b72395bddaf4
Publikováno v:
Entropy; Volume 24; Issue 8; Pages: 1016
Thermodynamic uncertainty relations (TURs) represent one of the few broad-based and fundamental relations in our toolbox for tackling the thermodynamics of nonequilibrium systems. One form of TUR quantifies the minimal energetic cost of achieving a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::233e2e62117230f9c1d81135f412e8c5
https://pubmed.ncbi.nlm.nih.gov/35892996
https://pubmed.ncbi.nlm.nih.gov/35892996
Publikováno v:
Entropy; Volume 24; Issue 7; Pages: 870
Thermodynamic uncertainty principles make up one of the few rare anchors in the largely uncharted waters of nonequilibrium systems, the fluctuation theorems being the more familiar. In this work we aim to trace the uncertainties of thermodynamic quan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::488771dc32adf28e5a71cec0458b6d29
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 7, Pp 1-26 (2024)
Abstract We present resummed predictions at next-to-leading logarithmic accuracy matched to the exact next-to-leading order results for a set of classical event-shape observables in hadronic Higgs decays, i.e., for the channels H → gg and H → b b
Externí odkaz:
https://doaj.org/article/3bfcf66af6e5478984b76cb85682d086
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 7, Pp 1-42 (2024)
Abstract We study jet angularities for dijet production at the Relativistic Heavy Ion Collider (RHIC) in proton-proton (pp) and nucleus-nucleus (AA) collisions at 200 GeV nucleon-nucleon center-of-mass collision energy. In particular, we provide NLL
Externí odkaz:
https://doaj.org/article/fc297bde5c9c4ac2aed1ff1dacb39cd6
Autor:
Kerstin Denecke, Daniel Reichenpfader, Dominic Willi, Karin Kennel, Harald Bonel, Knud Nairz, Nikola Cihoric, Damien Papaux, Hendrik von Tengg-Kobligk
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
IntroductionRadiologists frequently lack direct patient contact due to time constraints. Digital medical interview assistants aim to facilitate the collection of health information. In this paper, we propose leveraging conversational agents to realiz
Externí odkaz:
https://doaj.org/article/b9fd534a32b648d1b94374294120955c
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 84, Iss 1, Pp 1-12 (2024)
Abstract We present a novel strategy for the simultaneous measurement of Higgs-boson branching ratios into gluons and light quarks at a future lepton collider operating in the Higgs-factory mode. Our method is based on template fits to global event-s
Externí odkaz:
https://doaj.org/article/387fdb03c47341c18b9955b30959ef5c
Publikováno v:
Trends in Higher Education, Vol 2, Iss 4, Pp 667-688 (2023)
Recent developments related to tools based on artificial intelligence (AI) have raised interests in many areas, including higher education. While machine translation tools have been available and in use for many years in teaching and learning, genera
Externí odkaz:
https://doaj.org/article/015e64d54986483b8525831d55508401