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1579 Publications visible to you, out of a total of 1579
The Effect of Force-Field Parameters on Cytochrome P450-Membrane Interactions: Structure and Dynamics

Abstract

Not specified

Authors: Ghulam Mustafa, Prajwal P. Nandekar, Goutam Mukherjee, Neil J. Bruce, Rebecca C. Wade

Date Published: 1st Dec 2020

Publication Type: Journal

Asteroseismic inference of subgiant evolutionary parameters with deep learning

Abstract (Expand)

With the observations of an unprecedented number of oscillating subgiant stars expected from NASA's TESS mission, the asteroseismic characterization of subgiant stars will be a vital task for stellar … population studies and for testing our theories of stellar evolution. To determine the fundamental properties of a large sample of subgiant stars efficiently, we developed a deep learning method that estimates distributions of fundamental parameters like age and mass over a wide range of input physics by learning from a grid of stellar models varied in eight physical parameters. We applied our method to four Kepler subgiant stars and compare our results with previously determined estimates. Our results show good agreement with previous estimates for three of them (KIC 11026764, KIC 10920273, KIC 11395018). With the ability to explore a vast range of stellar parameters, we determine that the remaining star, KIC 10005473, is likely to have an age 1 Gyr younger than its previously determined estimate. Our method also estimates the efficiency of overshooting, undershooting, and microscopic diffusion processes, from which we determined that the parameters governing such processes are generally poorly constrained in subgiant models. We further demonstrate our method's utility for ensemble asteroseismology by characterizing a sample of 30 Kepler subgiant stars, where we find a majority of our age, mass, and radius estimates agree within uncertainties from more computationally expensive grid-based modelling techniques.

Authors: Marc Hon, Earl P Bellinger, Saskia Hekker, Dennis Stello, James S Kuszlewicz

Date Published: 1st Dec 2020

Publication Type: Journal

Incremental Neural Lexical Coherence Modeling

Abstract (Expand)

Pretrained language models, neural models pretrained on massive amounts of data, have established the state of the art in a range of NLP tasks. They are based on a modern machine-learning technique, … the Transformer which relates all items simultaneously to capture semantic relations in sequences. However, it differs from what humans do. Humans read sentences one-by-one, incrementally. Can neural models benefit by interpreting texts incrementally as humans do? We investigate this question in coherence modeling. We propose a coherence model which interprets sentences incrementally to capture lexical relations between them. We compare the state of the art in each task, simple neural models relying on a pretrained language model, and our model in two downstream tasks. Our findings suggest that interpreting texts incrementally as humans could be useful to design more advanced models.

Authors: Sungho Jeon, Michael Strube

Date Published: 1st Dec 2020

Publication Type: InProceedings

Constraining the onset density of the hadron-quark phase transition with gravitational-wave observations

Abstract

Not specified

Authors: Sebastian Blacker, Niels-Uwe F. Bastian, Andreas Bauswein, David B. Blaschke, Tobias Fischer, Micaela Oertel, Theodoros Soultanis, Stefan Typel

Date Published: 1st Dec 2020

Publication Type: Journal

The R136 star cluster dissected with Hubble Space Telescope/STIS - II. Physical properties of the most massive stars in R136

Abstract

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Authors: Joachim M. Bestenlehner, Paul A. Crowther, Saida M. Caballero-Nieves, Fabian R. N. Schneider, Sergio Simón-Dı́az, Sarah A. Brands, Alex de Koter, Götz Gräfener, Artemio Herrero, Norbert Langer, Daniel J. Lennon, Jesus Maı́z Apellániz, Joachim Puls, Jorick S. Vink

Date Published: 1st Dec 2020

Publication Type: Journal

Common-envelope evolution with an asymptotic giant branch star

Abstract

Not specified

Authors: Christian Sand, Sebastian T. Ohlmann, Fabian R. N. Schneider, Rüdiger Pakmor, Friedrich K. Röpke

Date Published: 1st Dec 2020

Publication Type: Journal

The shared frameshift mutation landscape of microsatellite-unstable cancers suggests immunoediting during tumor evolution

Abstract

Not specified

Authors: Alexej Ballhausen, Moritz Jakob Przybilla, Michael Jendrusch, Saskia Haupt, Elisabeth Pfaffendorf, Florian Seidler, Johannes Witt, Alejandro Hernandez Sanchez, Katharina Urban, Markus Draxlbauer, Sonja Krausert, Aysel Ahadova, Martin Simon Kalteis, Pauline L. Pfuderer, Daniel Heid, Damian Stichel, Johannes Gebert, Maria Bonsack, Sarah Schott, Hendrik Bläker, Toni Seppälä, Jukka-Pekka Mecklin, Sanne Ten Broeke, Maartje Nielsen, Vincent Heuveline, Julia Krzykalla, Axel Benner, Angelika Beate Riemer, Magnus von Knebel Doeberitz, Matthias Kloor

Date Published: 1st Dec 2020

Publication Type: Journal

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