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Träfflista för sökning "WFRF:(Sousa Pedro) "

Search: WFRF:(Sousa Pedro)

  • Result 1-10 of 253
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  • 2021
  • swepub:Mat__t
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  • Glasbey, JC, et al. (author)
  • 2021
  • swepub:Mat__t
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  • 2021
  • swepub:Mat__t
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  • Abdallah, J., et al. (author)
  • The Laser calibration of the ATLAS Tile Calorimeter during the LHC run 1
  • 2016
  • In: Journal of Instrumentation. - 1748-0221. ; 11
  • Journal article (peer-reviewed)abstract
    • This article describes the Laser calibration system of the ATLAS hadronic Tile Calorimeter that has been used during the run 1 of the LHC. First, the stability of the system associated readout electronics is studied. It is found to be stable with variations smaller than 0.6 %. Then, the method developed to compute the calibration constants, to correct for the variations of the gain of the calorimeter photomultipliers, is described. These constants were determined with a statistical uncertainty of 0.3 % and a systematic uncertainty of 0.2 % for the central part of the calorimeter and 0.5 % for the end-caps. Finally, the detection and correction of timing mis-configuration of the Tile Calorimeter using the Laser system are also presented.
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  • Ferreira, Joao Pedro, et al. (author)
  • Thin slices of interaction : predicting users' task difficulty within 60 sec
  • 2012
  • In: Proceedings CHI '12 Extended Abstracts on Human Factors in Computing Systems. - New York, NY, USA : ACM Press. - 9781450310161 ; , s. 171-180
  • Conference paper (peer-reviewed)abstract
    • We report on an exploratory study where the first 60 seconds of the video recording of a user interaction are used to predict the user’s experienced task difficulty. This approach builds on previous work on “thin slices” of human-human behavior, and applies it to human- computer interaction. In the scenario of interacting with a photocopy machine, automated video coding showed that the Activity and Emphasis predicted 46.6% of the variance of task difficulty. This result closely follows reported results on predicting negotiation outcomes from conversational dynamics using similar variables on the speech signal.
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  • Lima Ramos, Pedro, et al. (author)
  • A review of capture-recapture methods and its possibilities in ophthalmology and vision sciences
  • 2020
  • In: Ophthalmic Epidemiology. - : Taylor & Francis. - 0928-6586 .- 1744-5086. ; 27:4, s. 310-324
  • Research review (peer-reviewed)abstract
    • Epidemiological information is expected to be used to develop key aspects of eye care such as to control and minimise the impact of diseases, to allocate resources, to monitor public health actions, to determine the best treatment options and to forecast the consequence of diseases in populations. Epidemiological studies are expected to provide information about the prevalence and/or incidence of eye diseases or conditions. To determine prevalence is necessary to perform a cross-sectional screening of the population at risk to ascertain the number of cases.The aim of this review is to describe and evaluate capture-recapture methods (or models) to ascertaining the number of individuals with a disease (e.g. diabetic retinopathy) or condition (e.g. vision impairment) in the population.The review covers the fundamental aspects of capture-recapture methods that would enable non-experts in epidemiology to use it in ophthalmic studies. The review provides information about theoretical aspects of the method with examples of studies in ophthalmology in which it has been used. We also provide a problem/solution approach for limitations arising from the lists obtained from registers or other reliable sources.We concluded that capture-recapture models can be considered reliable to estimate the total number of cases with eye conditions using incomplete information from registers. Accordingly, the method may be used to maintain updated epidemiological information about eye conditions helping to tackle the lack of surveillance information in many regions of the globe.
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Chen, S. (189)
Chen, L (188)
Gupta, S. (188)
Chen, X. (186)
Davies, M. (186)
King, M. (186)
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Alonso, A. (185)
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