Tecnologias de Informação e Comunicação no cotidiano dos adolescentes: enfoque no comportamento e na competências informacionais da geração Google

Introduction: Individuals born from the 1990’s to accompany technological change course and learn how to use the technological resources that have access before they even learn to read or write. In this sense, the literature considers the digital natives or even 'Google generation'. However, it has been questioned their skills to identify information needs and seeking and use of information in the most varied environments digital information available on the Web. Objectives: To characterize the behavior of information seeking in everyday life of a group of teenage students from a private school in Marilia, Sao Paulo. Methodology: A qualitative study with 30 adolescent students of a private school in Marilia, Sao Paulo. Data collection was accomplished at first by means of a questionnaire, based on the research of Hughes-Hussell and August (2007), containing questions about age, gender, hobbies and everyday tasks, and issues the use of computers and the internet, which allowed determination of the social, economic and cultural rights of respondents. Results: have focused on the use of Information and Communication Technologies (ICT) to search access and use information. It was suggested that the "Brotherhood of Informatics', an incentive for students to (re) learn the tools of digital communication and make appropriate use of the resources, products and services on the web to search and effective use of information compatible with their needs and that is tied to the ethical and responsible use of technology environments. Conclusions: The results arising from this study will continue through the continuation of the Confraternity of Computing, which became a "thermometer" on the use of digital information environments and the attitude of the students in front of Information and Communication Technologies in the College “Cristo Rei”.

Transverse-momentum and pseudorapidity distributions of charged hadrons in pp collisions at root s=0.9 and 2.36 TeV

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Search for supersymmetry in events with b jets and missing transverse momentum at the LHC

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Measurement of the inclusive Z cross section via decays to tau pairs in pp collisions at root s=7 TeV

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Mass-Imbalanced Three-Body Systems in 2D: Bound States and the Analytical Approach to the Adiabatic Potential

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Universality of Three-Body Systems in 2D: Parametrization of the Bound States Energies

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Missing transverse energy performance of the CMS detector

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Educação sexual orientada para a ação: um estudo bibliográfico sobre a aplicabilidade dessa modalidade de intervenção

Pós-graduação em Educação Escolar - FCLAR

Funções convexas e desigualdades: uma abordagem no ensino médio

Pós-graduação em Matemática - IBILCE

Weakly bound states of two- and three-boson systems in the crossover from two to three dimensions

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Assessing the influence of mechanical ventilation on blood gases and blood pressure in rattlesnakes

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Informatics competencies in nursing management

This study aimed to identify in scientific literature the informatics competencies required from the nurses to make decision in management process. Through a scoping review, literature databases were searched to find articles published in Portuguese, English, or Spanish, until July 2013. 188 articles were found, and seven were included in this study, published between 1994 and 2011. The studies were written in English (5; 71%), in USA (5; 71%), using experience reports or literature review designs (5; 71%). The informatics competences were categorized according the Technology Informatics Guiding Education Reform (TIGER). The findings highlight gaps in informatics competence to make decisions in the management process--essentially in information management competence.

Higher order turán inequalities for the Riemann ξ-function

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Improved Measurement of Muon Antineutrino Disappearance in MINOS

We report an improved measurement of (nu) over bar (mu) disappearance over a distance of 735 km using the MINOS detectors and the Fermilab Main Injector neutrino beam in a (nu) over bar (mu)-enhanced configuration. From a total exposure of 2.95 x 10(20) protons on target, of which 42% have not been previously analyzed, we make the most precise measurement of Delta(m) over bar (2) = [2.62(-0.28)(+0.31)(stat) +/- 0.09(syst)] x 10(-3) eV(2) and constrain the (nu) over bar (mu) mixing angle sin(2)(2 (theta) over bar) > 0.75 (90% C.L.). These values are in agreement with Delta m(2) and sin(2)(2 theta) measured for nu(mu), removing the tension reported in [P. Adamson et al. (MINOS), Phys. Rev. Lett. 107, 021801 (2011).].

Discriminating Different Classes of Biological Networks by Analyzing the Graphs Spectra Distribution

The brain's structural and functional systems, protein-protein interaction, and gene networks are examples of biological systems that share some features of complex networks, such as highly connected nodes, modularity, and small-world topology. Recent studies indicate that some pathologies present topological network alterations relative to norms seen in the general population. Therefore, methods to discriminate the processes that generate the different classes of networks (e. g., normal and disease) might be crucial for the diagnosis, prognosis, and treatment of the disease. It is known that several topological properties of a network (graph) can be described by the distribution of the spectrum of its adjacency matrix. Moreover, large networks generated by the same random process have the same spectrum distribution, allowing us to use it as a "fingerprint". Based on this relationship, we introduce and propose the entropy of a graph spectrum to measure the "uncertainty" of a random graph and the Kullback-Leibler and Jensen-Shannon divergences between graph spectra to compare networks. We also introduce general methods for model selection and network model parameter estimation, as well as a statistical procedure to test the nullity of divergence between two classes of complex networks. Finally, we demonstrate the usefulness of the proposed methods by applying them to (1) protein-protein interaction networks of different species and (2) on networks derived from children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD) and typically developing children. We conclude that scale-free networks best describe all the protein-protein interactions. Also, we show that our proposed measures succeeded in the identification of topological changes in the network while other commonly used measures (number of edges, clustering coefficient, average path length) failed.