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Institution

University of Coimbra

EducationCoimbra, Portugal
About: University of Coimbra is a education organization based out in Coimbra, Portugal. It is known for research contribution in the topics: Population & Mitochondrion. The organization has 14318 authors who have published 43067 publications receiving 994733 citations. The organization is also known as: UC & Universidade dos Estudos Gerais.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors compared in-person interviews with web-based surveys regarding response rate, information additivity effects and respondents' attitudes towards paying, and concluded in favor of the use of web based surveys.

209 citations

Journal ArticleDOI
TL;DR: This paper considers Markovian models with sinusoidal arrival rates and proposes two simple modifications of SIPP that will produce reliable staffing levels in models whose parameters span a broad range of practical situations.
Abstract: This paper evaluates the practice of determining staffing requirements in service systems with random cyclic demands by using a series of stationary queueing models. We consider Markovian models with sinusoidal arrival rates and use numerical methods to show that the commonly used "stationary independent period by period" (SIPP) approach to setting staffing requirements is inaccurate for parameter values corresponding to many real situations. Specifically, using the SIPP approach can result in staffing levels that do not meet specified period by period probability of delay targets during a significant fraction of the cycle. We determine the manner in which the various system parameters affect SIPP reliability and identify domains for which SIPP will be accurate. After exploring several alternatives, we propose two simple modifications of SIPP that will produce reliable staffing levels in models whose parameters span a broad range of practical situations. Our conclusions from the sinusoidal model are tested against some empirical data.

208 citations

BookDOI
01 Jan 2019
TL;DR: The best available evidence suggests that microplastics and nanoplastics do not pose a widespread risk to humans or the environment, except in small pockets as discussed by the authors. But that evidence is limited, and the situation could change if pollution continues at the current rate.
Abstract: The best available evidence suggests that microplastics and nanoplastics do not pose a widespread risk to humans or the environment, except in small pockets. But that evidence is limited, and the situation could change if pollution continues at the current rate.

208 citations

Journal ArticleDOI
Morad Aaboud, Georges Aad1, Brad Abbott2, Ovsat Abdinov3  +2878 moreInstitutions (197)
TL;DR: The performance of the missing transverse momentum reconstruction with the ATLAS detector is evaluated using data collected in proton–proton collisions at the LHC at a centre-of-mass energy of 13 TeV in 2015.
Abstract: The performance of the missing transverse momentum ( ETmiss ) reconstruction with the ATLAS detector is evaluated using data collected in proton-proton collisions at the LHC at a centre-of-mass energy of 13 TeV in 2015. To reconstruct ETmiss , fully calibrated electrons, muons, photons, hadronically decaying τ-leptons , and jets reconstructed from calorimeter energy deposits and charged-particle tracks are used. These are combined with the soft hadronic activity measured by reconstructed charged-particle tracks not associated with the hard objects. Possible double counting of contributions from reconstructed charged-particle tracks from the inner detector, energy deposits in the calorimeter, and reconstructed muons from the muon spectrometer is avoided by applying a signal ambiguity resolution procedure which rejects already used signals when combining the various ETmiss contributions. The individual terms as well as the overall reconstructed ETmiss are evaluated with various performance metrics for scale (linearity), resolution, and sensitivity to the data-taking conditions. The method developed to determine the systematic uncertainties of the ETmiss scale and resolution is discussed. Results are shown based on the full 2015 data sample corresponding to an integrated luminosity of 3.2fb-1 .

208 citations


Authors

Showing all 14693 results

NameH-indexPapersCitations
P. Chang1702154151783
Yang Gao1682047146301
Bin Liu138218187085
P. Sinervo138151699215
Filipe Veloso12888775496
Panagiotis Kokkas128123481051
Nuno Filipe Castro12896076945
Robert Gardner128101577619
Francois Corriveau128102275729
Peter Krieger128117181368
João Carvalho126127877017
Helmut Wolters12685175721
Nicola Venturi12679669518
Sai-Juan Chen121121173991
Harinder Singh Bawa12079866120
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023112
2022530
20213,237
20203,193
20193,090