464 research outputs found
Observação e análise numa equipa de futebol de elite : relatório de estágio na area de observação e análise do Benfica LAB, Sport Lisboa e Benfica, equipas profissionais, época 2014-2015
Este relatório teve como objetivo a sumarização das práticas realizadas de um estagiário na área de Observação e Análise de Jogo do Benfica Lab-Sport Lisboa e Benfica.
Consiste neste trabalho a descrição das diversas tarefas operacionais e complementares realizadas por um estagiário na área já referida. Acrescendo a essas descrições, é apresentado em detalhe um estudo de investigação iniciado durante o processo de estágio, tendo sido todos os dados recolhidos nesse período e fornecidos quase exclusivamente pela área de observação e análise do Benfica Lab. Este estudo demonstrou existirem diferenças significativas em medidas de centralidade individuais (nível de intermediação numa rede social; influência numa rede social) da equipa A para a equipa B na mesma posição (posto especifico). A descrição detalhada de todo o processo envolvente à realização de uma conferência (relação com a comunidade), também está presente neste documento, evento esse que teve como seu principal objetivo demonstrar o “Processo de estágio Benfica Lab/ FMH – Observação e Análise de Jogo”.This report aimed to review the practices carried out by an intern in the department of Observation and Game Analysis of Benfica Lab-Sport Lisboa e Benfica.
This paper contains the description of several operational and complementary tasks performed by a trainee in the area referred above. Added to these descriptions, it is shown in detail a research study initiated during the internship, all the data collected during this period were provided almost exclusively by the department of observation and analysis of Benfica Lab. This study showed significant differences in individual centrality metrics (level of centrality in a social network; influence in a social network) from main team to reserve team in the same position (specific position). A detailed description of the entire process surrounding the making of a conference (relationship with the community) is also presented in this document, that event had as its main goal to demonstrate the "Internship process Benfica Lab / FMH - Observation and Game Analysis"
Information visualization: conceptualizing new paths for filtering and navigate in scientific knowledge objects
More than 6,849.32 new research journal articles are published every day! Who has time to read every article or document that’s relevant to their research? Access to the right and relevant information is paramount for scientific discoveries. Filtering relevant information has become a fundamental challenge in the actual scientific deluge panorama. As information glut grows ever worse, understanding and visualizing the science social behavior may become our only hope for handling a growing deluge of scientific information. It is therefore fundamental to analyze and interactively visualize the science social space. This paper theoretically conceptualizes an approach aimed at the filtering and navigation of relevant Scientific Knowledge Objects (SKOs) based on a symbiosis between different sub-disciplines domains. We present two main contributions, a comparison among several projects with some relevant use of information visualization in scholarly scientific navigation; and an architecture which will be in line with the most recent international standards and good practices for Open Data, especially those related to Linked Open Data capable to perform an innovative information visualization of relevant SKOs. These contributions are relevant to scholarly and to practitioner’s communities and to who want to access and navigate in relevant SKOs.This work has been supported by COMPETE: POCI-01-
0145-FEDER-007043 and FCT – Fundação para a Ciência e
Tecnologia within the Project Scope: UID/CEC/00319/2013.info:eu-repo/semantics/publishedVersio
Incidental capture of loggerhead (Caretta caretta) and leatherback (Dermochelys coriacea) sea turtles by the pelagic longline fishery off southern Brazil
Incidental capture in fishing gear is one of the main sources of injury and mortality of juvenile and adult sea turtles (NRC, 1990; Lutcavage et al., 1997; Oravetz, 1999). Six out of the seven extant species of sea turtles — the leatherback (Dermochelys coriacea), the green turtle (Chelonia mydas), the loggerhead (Caretta caretta), the hawksbill (Eretmochelys imbricata), the olive ridley (Lepidochelys olivacea), and the Kemp’s ridley (Lepidochelys kempii) — are currently classified as endangered or critically endangered by the World Conservation Union (IUCN, formerly the International Union for Conservation of Nature and Natural Resources), which makes the assessment and reduction of incidental capture and mortality of these species in fisheries priority conservation issues (IUCN/Species Survival Commission, 1995)
Evaluation of feline permanent canine tooth mineral density using micro-computed tomography
The tooth is made up of three mineralized tissues, enamel, dentin, and cementum, which surround a non-mineralized tissue called the dental pulp. Micro-computed tomography (mCT) is an imaging technology based on X-rays that allows non-invasive visualization of objects at a microscopic scale, according to their radiopacity and in three dimensions (3D). Likewise, it allows the subsequent execution of morphological and quantitative analysis of the objects, such as, for example, the determination of the relative mineral density (MD). The present work aimed to describe the MD of feline teeth using mCT. The studied sample consisted of four European Shorthair cats, from which nine canine teeth were extracted per medical indication. These teeth were evaluated through dental radiography before and after their extraction. Using mCT and the CTAn software, the values of the relative mineral density of the root of each tooth and of specific segments corresponding to the coronal, middle, and apical thirds of the root were determined. Mean MD of root tissues was 1.374 ± 0040 g·cm−3, and of hard root, tissues was 1.402 ± 0.035 g·cm−3. Through mCT, it was possible to determine the mean MD values of feline canine teeth. The study of MD could become an ancillary method for the diagnosis and characterization of dental pathology.This work was funded by national funds through FCT—Foundation for Science and Technology, I.P., under the Scientific Employment Stimulus—Institutional Call-CEECINS/00127/2018 (J.F. Requicha) and supported by the projects UIDB/CVT/00772/2020 and LA/P/0059/2020
6.849,32 New Scientific Journal Articles Everyday: Visualize or Perish! - IViSSEM
Over 2.5 million scientific articles are published annually, totaling 6,849.32 per day in 2015; in 2018 this value was increased to over 3 million articles, totaling 8.219,18 per day [1]. Thus, finding the most relevant Research Outputs (ROs), such as articles, theses, patents, among others, is increasingly difficult due, in part, to the existing interfaces returning massive lists of results.
The project aims to develop and test a platform that incorporates social data for capturing various usage metrics to define a new metric that we call Social Scholarly Experience Metrics (SSEM) and a new visualization technique that, jointly, will support the fast access to find relevant ROs.This work has been supported by IViSSEM: POCI-01-0145-FEDER-28284, and FCT –
Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020
First in-beam studies of a Resistive-Plate WELL gaseous multiplier
We present the results of the first in-beam studies of a medium size
(1010 cm) Resistive-Plate WELL (RPWELL): a single-sided THGEM
coupled to a pad anode through a resistive layer of high bulk resistivity
(10cm). The 6.2~mm thick (excluding readout electronics)
single-stage detector was studied with 150~GeV muons and pions. Signals were
recorded from 11 cm square copper pads with APV25-SRS readout
electronics. The single-element detector was operated in Ne\(5%
) at a gas gain of a few times 10, reaching 99
detection efficiency at average pad multiplicity of 1.2. Operation at
particle fluxes up to 10 Hz/cm resulted in 23 gain drop
leading to 5 efficiency loss. The striking feature was the
discharge-free operation, also in intense pion beams. These results pave the
way towards robust, efficient large-scale detectors for applications requiring
economic solutions at moderate spatial and energy resolutions.Comment: Accepted by JINS
Triple categorical regression for genomic selection: application to cassava breeding
Genome-wide selection (GWS) is currently a technique of great importance in plant breeding, since it improves efficiency of genetic evaluations by increasing genetic gains. The process is based on genomic estimated breeding values (GEBVs) obtained through phenotypic and dense marker genomic information. In this context, GEBVs of N individuals are calculated through appropriate models, which estimate the effect of each marker on phenotypes, allowing the early identification of genetically superior individuals. However, GWS leads to statistical challenges, due to high dimensionality and multicollinearity problems. These challenges require the use of statistical methods to approach the regularization of the estimation process. Therefore, we aimed to propose a method denominated as triple categorical regression (TCR) and compare it with the genomic best linear unbiased predictor (G-BLUP) and Bayesian least absolute shrinkage and selection operator (BLASSO) methods that have been widely applied to GWS. The methods were evaluated in simulated populations considering four different scenarios. Additionally, a modification of the G-BLUP method was proposed based on the TCR-estimated (TCR/G-BLUP) results. All methods were applied to real data of cassava (Manihot esculenta) with to increase efficiency of a current breeding program. The methods were compared through independent validation and efficiency measures, such as prediction accuracy, bias, and recovered genomic heritability. The TCR method was suitable to estimate variance components and heritability, and the TCR/G-BLUP method provided efficient GEBV predictions. Thus, the proposed methods provide new insights for GWS
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