6,343 research outputs found
Recent NA48 results on semileptonic and rare kaon decays. Measurement of
No full textThe new results of investigation of K^0_Le3 and K^{\pm}e3 decays performed by NA48 Collaboration are presented. The measured branching fractions are used to extract Vus. The values of Ke3 form-factors and radiative K^0_Le3\gamma branching ratio are reported. A list of recent NA48 results concerning some rare neutral kaon decays is given
Creditor rights and corporate risk-taking
No full textWe analyze the link between creditor rights and firms’ investment policies, proposing that stronger creditor rights in bankruptcy reduce corporate risk-taking. In cross-country analysis, we find that stronger creditor rights induce greater propensity of firms to engage in diversifying acquisitions, which result in poorer operating and stock-market abnormal performance. In countries with strong creditor rights, firms also have lower cash flow risk and lower leverage, and there is greater propensity of firms with low-recovery assets to acquire targets with high-recovery assets. These relationships are strongest in countries where management is dismissed in reorganization, and are observed in time-series analysis around changes in creditor rights. Our results question the value of strong creditor rights as they have an adverse effect on firms by inhibiting management from undertaking risky investments.
CREDIT RISK AND INTER-FIRM DEPENDENCE
No full textRights Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author
Corporate Governance and Managerial Risk Taking: Theory and Evidence Author-Name: Bernard Yeung
No full textApplication of Neural Networks for Energy Reconstruction
No full textThe possibility to use Neural Networks for reconstruction ofthe energy deposited in the calorimetry system of the CMS detector is investigated. It is shown that using feed-forward neural network, good linearity, Gaussian energy distribution and good energy resolution can be achieved. Significant improvement of the energy resolution and linearity is reached in comparison with other weighting methods for energy reconstruction.The possibility to use Neural Networks for reconstruction of the energy deposited in the calorimetry system of the CMS detector is investigated. It is shown that using feed - forward neural network, good linearity, Gaussian energy distribution and good energy resolution can be achieved. Significant improvement of the energy resolution and linearity is reached in comparison with other weighting methods for energy reconstruction
ACQUISITIONS AND FOREIGN COMPETITION
No full textRights Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. Downloaded 18-Sep-2016 01:38:3
How your ophthalmological practice can survive the coronavirus chaos? How to adapt to the new normality?
No full textThis scientific overview adapts the prospective data and content of a number of sources on the transmission of COVID-19 accumulated since 31 December 2019 in Wuhan, Hubei. Primary endpoints of this review are to consider a critical approach to current state and trends in the management of the pandemic in terms of ophthalmic practice and to suggest some practical reasons and recommendations. The author declares that there is no conflict of interest and no financial commitment to disclose
Analysis of symplectic integration algorithms with variable step size for petascale biomolecular simulations
No full textBased on the analysis of the performance, scalability, work-load increase and distribution of the MD simulation packages GROMACS and NAMD for very large systems and core numbers, we evaluate the possibilities for overcoming the deterioration of the scalability and
performance of the existing MD packages by implementation of symplectic integration algorithms with multiple step sizes
Author Correction: A portrait of the Higgs boson by the CMS experiment ten years after the discovery
No full textIn the version of this article initially published, CMS Collaboration author names, affiliations and acknowledgements were omitted and have now been included in the HTML and PDF versions of the articl
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