Digital Humanities in Praxis: Contextualizing the Brazilian Electronic Literature Collection

In the following essay, Luciana Gattass discusses the formation of a Brazilian Electronic Literature Collection via analysis of works identified in the ELMCIP Knowledge Base. Positioned between the existence of geographical data and the question of a national literature, Gattass considers the role of the human critic in the age of big data.published_or_final_versio

Renormalization of the Cabibbo-Kobayashi-Maskawa Matrix

Using the on-shell scheme and the general linear R_xi gauge we have calculated the one-loop amplitude W+ -> u_I d_j. In agreement with previous work we have shown that the Cabibbo-Kobayashi-Maskawa (CKM) matrix ought to be renormalized. However, the previous renormalization of the the CKM matrix gives a gauge dependent amplitude. We show how to renormalize the CKM matrix and, at the same time, obtain a gauge independent W decay amplitude

Top quark loop corrections to the decay H+→h0W+H^+ \to h^0 W^+ in the Two Higgs Doublet Model

We calculate the decay width for the process $H^+ \to h^0 W^+$ up to order $g^4$ in the framework of the Two Higgs Doublet Model. We argue that for some reasonable choice of the free parameters the contribution from the one-loop graphs can be as large as 40%.Comment: 9 pages (in a4wide), tex with figures attached, uuencoded tared gzip file Postscript file also available at http://thep.physik.uni-mainz.de/~brueche

Métodos de predição do comportamento de populações de melhoramento.

Algodão; Melhoramento genéticobitstream/CNPA/19713/1/DOC108.PD

Marcadores moleculares como ferramentas para estudos de genética de plantas.

bitstream/CNPA/18326/1/DOC147.pd

DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters

When will a server fail catastrophically in an industrial datacenter? Is it possible to forecast these failures so preventive actions can be taken to increase the reliability of a datacenter? To answer these questions, we have studied what are probably the largest, publicly available datacenter traces, containing more than 104 million events from 12,500 machines. Among these samples, we observe and categorize three types of machine failures, all of which are catastrophic and may lead to information loss, or even worse, reliability degradation of a datacenter. We further propose a two-stage framework-DC-Prophet-based on One-Class Support Vector Machine and Random Forest. DC-Prophet extracts surprising patterns and accurately predicts the next failure of a machine. Experimental results show that DC-Prophet achieves an AUC of 0.93 in predicting the next machine failure, and a F3-score of 0.88 (out of 1). On average, DC-Prophet outperforms other classical machine learning methods by 39.45% in F3-score.Comment: 13 pages, 5 figures, accepted by 2017 ECML PKD

Service life of concrete structures rehabilitated with polymers

Keynote paperThe estimation of the service life of concrete rehabilitation works is more and more important. The rehabilitation techniques appeared as a need to solve problems posed by the degradation of concrete structures. Some years ago the rehabilitation techniques were not developed and it was important to find solutions for the problems. Now, there is more preoccupation with the service life of concrete rehabilitation techniques, like external strengthening with FRP, increase of concrete sections or reinforcement of cracked sections. The increase of the service life started with the quality of the concrete rehabilitation works. This includes the quality of the design, the products and the execution. Some standards are now available and establish specifications for concrete rehabilitation works. This paper presents the main questions related with this subject. The use of polymers in concrete rehabilitation imposes a different analysis related with durability