Results 91 to 100 of about 167,661,566 (258)
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
Title from cover.Mode of access: Internet.Merger of: Official cohort default rate guide, and: Draft cohort default rate ...
United States. Dept. of Education. Default Management Division.
core
Sovereign risk in a structural approach: Evaluating sovereign ability-to-pay and probability of default [PDF]
We quantify the probability that a sovereign defaults on repayment obligations in foreign currency. Adopting the structural approach as first introduced by Merton, we consider the sovereigns ability-to-pay, characterised by the sum of discounted future ...
Maltritz, Dominik, Karmann, Alexander
core
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
SMEs probability of default: the case of the hospitality sector
In this paper we analyze a set of financial ratios from hospitality sector SMEs in order to ascertain which factors determine a greater probability of default.
Luís Pacheco
doaj
The Fluctuating Default Risk of Australian Banks [PDF]
Australian banks are widely considered to have fared far better during the Global Financial Crisis (GFC) than their global counterparts, continuing to display solid earnings, good capitalisation and strong credit ratings.
David E Allen, Robert Powell
core
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Annual Default Rates and Probably Less Than Long-Run Average Annual Default Rates [PDF]
Banks using either the Foundation or Advanced option of the Internal Ratings Based approach to credit risk under Basel II must estimate long-run annual average default probabilities for buckets of homogeneous assets.
Kiefer, Nicholas M.
core
A novel exercise‐inducible myokine acidic ribosomal protein P2 (RPLP2), initially identified from human trials, is presented here, whose circulating levels negatively correlate with clinical anxiety severity. Muscle‐derived RPLP2 enhances hippocampal ribosomal assembly and adult neurogenesis to rescue stress‐induced anxiety deficits.
Peiyu Luo +18 more
wiley +1 more source
Improving How Microsoft Excel Displays Default Extremely Small Probability Values
Microsoft Excel™’s default method of displaying probability values observed in the sample, in the case of very small values, is confusing to beginning students in statistics.
David A. Larson, Sylvia E. Rogers
doaj +2 more sources

