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Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

COBT: a gene-based rare variant burden test for case-only study designs using aggregated genotypes from public reference cohorts. [PDF]

open access: yesGenome Med
Favier A   +19 more
europepmc   +1 more source

Inflation Persistence and the Rationality of Inflation Expectations [PDF]

open access: possibleSSRN Electronic Journal, 2013
The rational expectations hypothesis for survey and model-based inflation forecasts ? from the Survey of Professional Forecasters and the Greenbook respectively ? is examined by properly taking into account persistence in the data. The finding of near-unit-root effects in inflation and inflation expectations motivates the use of a local-to-unity ...
Brissimis, Sophocles, Migiakis, Petros
openaire   +2 more sources
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TIPS and inflation expectations

Applied Economics Letters, 2008
Previous research suggests that the market for index-linked bonds is not entirely efficient and that these inefficiencies can be exploited by including inflation forecasts in trades on break-even inflation. Inspired by those results, we test the informational content of inflation expectations using survey data generated by the survey of professional ...
Bardong, F, Lehnert, T
openaire   +2 more sources

Inflation Perception and the Formation of Inflation Expectations

2023
In diesem Papier stellen wir einen neuen Indikator zur Messung der Inflationswahrnehmung in den Medien vor. Unser Inflationswahrnehmungsindikator (IPI) für Deutschland basiert auf einem Korpus von drei Millionen Artikeln, die zwischen Januar 2001 und November 2022 in großen Tageszeitungen veröffentlicht wurden.
Schmidt, Torsten   +4 more
openaire   +2 more sources

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