175,056 research outputs found
Regularities in electromagnetic decay widths
We revisit Sakurai's remark on the regularities of lepton-pair widths for
mesons, extending the panorama to radiative and total
decays. The regularities persist, and somehow surprisingly some of them seem to
relate with Fermi's constant -or -.Comment: 6 pages, 2 figure
Regularities
The neoclassical q-theory is a good start to understand the cross section of returns. Under constant return to scale, stock returns equal levered investment returns that are tied directly with characteristics. This equation generates the relations of average returns with book-to-market, investment, and earnings surprises. We estimate the model by minimizing the differences between average stock returns and average levered investment returns via GMM. Our model captures well the average returns of portfolios sorted on capital investment and on size and book-to-market, including the small-stock value premium. Our model is also partially successful in capturing the post-earnings-announcement drift and its higher magnitude in small firms.
Using textual clues to improve metaphor processing
In this paper, we propose a textual clue approach to help metaphor detection,
in order to improve the semantic processing of this figure. The previous works
in the domain studied the semantic regularities only, overlooking an obvious
set of regularities. A corpus-based analysis shows the existence of surface
regularities related to metaphors. These clues can be characterized by
syntactic structures and lexical markers. We present an object oriented model
for representing the textual clues that were found. This representation is
designed to help the choice of a semantic processing, in terms of possible
non-literal meanings. A prototype implementing this model is currently under
development, within an incremental approach allowing step-by-step evaluations.
\footnote{This work takes part in a research project sponsored by the
AUPELF-UREF (Francophone Agency For Education and Research)}Comment: 3 pages, single LaTeX file, uses aclap.st
Development Of Adaptive Moving Two–sided Exponential Smoothing Method For Restoring And Forecasting Of TIME Series
Two algorithms for restoring of missing values of time series with using of adaptive moving two-sided exponential smoothing method with different initial conditions are developed in the article. Adaptive moving two–sided exponential smoothing method for restoring of true regularities and forecasting of time series is developed. The integral criterion of model adequacy and the proximity criterion for using for restoring of the true regularities of time series evolution are suggested. Practical researches with restoring of true regularities of Wolf numbers and solar radio fluxes at a wavelength of 10.7 cm, restoring of missing values and forecasting of solar radio fluxes at a wavelength of 10.7 cm are performed. Comparisons of created method with traditional methods are performed for all experiments. Developed adaptive moving two-sided exponential smoothing method is shown superiority in comparison with all traditional methods in the restoring of true regularities, missing values and forecasting of solar data
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