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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: An overview of the roles of microglia-mediated neuroinflammation in major retinal degenerative diseases like glaucoma, age-related macular degeneration, and diabetic retinopathy is given.
Abstract: Retinal degenerative diseases are major causes of vision loss and blindness worldwide and are characterized by chronic and progressive neuronal loss. One common feature of retinal degenerative diseases and brain neurodegenerative diseases is chronic neuroinflammation. There is growing evidence that retinal microglia, as in the brain, become activated in the course of retinal degenerative diseases, having a pivotal role in the initiation and propagation of the neurodegenerative process. A better understanding of the events elicited and mediated by retinal microglia will contribute to the clarification of disease etiology and might open new avenues for potential therapeutic interventions. This review aims at giving an overview of the roles of microglia-mediated neuroinflammation in major retinal degenerative diseases like glaucoma, age-related macular degeneration, and diabetic retinopathy.

171 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed a sensor-based demand-controlled ventilation (SBDCV) system for better control of indoor pollutant concentrations, and lower energy use and peak energy demand.

171 citations

Journal ArticleDOI
TL;DR: A progressive decrease in the number of proliferating cells in the dentate gyrus of R6/2 mice was found and corresponded to a reduction in actual hippocampal neurogenesis as assessed by double immunostaining for BrdU and the neuronal marker neuronal nuclei (NeuN).

171 citations

Journal ArticleDOI
01 Mar 2004-Energy
TL;DR: In this paper, a multiple objective mixed integer linear programming model for power generation expansion planning is presented, which allows the consideration of modular expansion capacity values of supply-side options, and demand-side management is also considered an option in the planning process, assuming there is a sufficiently large portion of the market under franchise conditions.

171 citations

Journal ArticleDOI
S. Andringa, E. Arushanova1, S. Asahi2, M. Askins3, D. J. Auty4, A. Back1, A. Back5, Z. Barnard6, N. Barros7, E. W. Beier7, A. Bialek4, S. D. Biller8, E. Blucher9, R. Bonventre7, D. Braid6, E. Caden6, E. J. Callaghan7, J. Caravaca10, J. Caravaca11, João Carvalho12, L. Cavalli8, D. Chauhan6, D. Chauhan2, M. L. Chen2, O. Chkvorets6, Karl J. Clark2, Karl J. Clark5, Karl J. Clark8, B. T. Cleveland6, I. T. Coulter8, I. T. Coulter7, D. Cressy6, X. Dai2, C. Darrach6, B. Davis-Purcell13, Rehan Deen8, Rehan Deen7, M. M. Depatie6, F.B. Descamps11, F.B. Descamps10, F. Di Lodovico1, N. Duhaime6, F. Duncan6, J. Dunger8, E. Falk5, N. Fatemighomi2, R. Ford6, P. Gorel4, C. Grant3, S. Grullon7, E. Guillian2, A. L. Hallin4, D. Hallman6, S. Hans14, J. Hartnell5, P. J. Harvey2, M. Hedayatipour4, W. J. Heintzelman7, R. L. Helmer13, B. Hreljac6, J. Hu4, T. Iida2, C. M. Jackson11, C. M. Jackson10, N. A. Jelley8, C. J. Jillings6, C. Jones8, P. G. Jones8, P. G. Jones1, K. Kamdin11, K. Kamdin10, T. Kaptanoglu7, J. Kaspar15, Paul Keener7, P. Khaghani6, L. Kippenbrock15, J. R. Klein7, R. Knapik16, R. Knapik7, J. Kofron15, L. L. Kormos17, S. Korte6, C. Kraus6, C. B. Krauss4, K. Labe9, I. Lam2, C. Lan2, B. J. Land10, B. J. Land11, S. Langrock1, A. LaTorre9, I. Lawson6, G. Lefeuvre5, E. J. Leming5, J. Lidgard8, X. Liu2, Y. Liu2, V. Lozza18, S. Maguire14, A. Maio19, K. Majumdar8, S. Manecki2, J. Maneira19, E. Marzec7, A. Mastbaum7, N. McCauley20, A. B. McDonald2, J. E. McMillan21, P. Mekarski4, C. Miller2, Yuvraj Mohan7 
TL;DR: SNO+ is a large liquid scintillator-based experiment located 2km underground at SNOLAB, Sudbury, Canada as discussed by the authors, whose primary goal is a search for the neutrinoless double-beta decay (0$ u\beta\beta$) of 130Te.
Abstract: SNO+ is a large liquid scintillator-based experiment located 2km underground at SNOLAB, Sudbury, Canada. It reuses the Sudbury Neutrino Observatory detector, consisting of a 12m diameter acrylic vessel which will be filled with about 780 tonnes of ultra-pure liquid scintillator. Designed as a multipurpose neutrino experiment, the primary goal of SNO+ is a search for the neutrinoless double-beta decay (0$ u\beta\beta$) of 130Te. In Phase I, the detector will be loaded with 0.3% natural tellurium, corresponding to nearly 800 kg of 130Te, with an expected effective Majorana neutrino mass sensitivity in the region of 55-133 meV, just above the inverted mass hierarchy. Recently, the possibility of deploying up to ten times more natural tellurium has been investigated, which would enable SNO+ to achieve sensitivity deep into the parameter space for the inverted neutrino mass hierarchy in the future. Additionally, SNO+ aims to measure reactor antineutrino oscillations, low-energy solar neutrinos, and geoneutrinos, to be sensitive to supernova neutrinos, and to search for exotic physics. A first phase with the detector filled with water will begin soon, with the scintillator phase expected to start after a few months of water data taking. The 0$ u\beta\beta$ Phase I is foreseen for 2017.

171 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