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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 explore how and where phase change materials (PCMs) are used in passive latent heat thermal energy storage (LHTES) systems, and present an overview of how these construction solutions are related to building's energy performance.

817 citations

Journal ArticleDOI
TL;DR: It is proposed that the assessment of trait–service clusters will represent a crucial step in ecosystem service monitoring and in balancing the delivery of multiple, and sometimes conflicting, services in ecosystem management.
Abstract: Managing ecosystems to ensure the provision of multiple ecosystem services is a key challenge for applied ecology. Functional traits are receiving increasing attention as the main ecological attributes by which different organisms and biological communities influence ecosystem services through their effects on underlying ecosystem processes. Here we synthesize concepts and empirical evidence on linkages between functional traits and ecosystem services across different trophic levels. Most of the 247 studies reviewed considered plants and soil invertebrates, but quantitative trait–service associations have been documented for a range of organisms and ecosystems, illustrating the wide applicability of the trait approach. Within each trophic level, specific processes are affected by a combination of traits while particular key traits are simultaneously involved in the control of multiple processes. These multiple associations between traits and ecosystem processes can help to identify predictable trait–service clusters that depend on several trophic levels, such as clusters of traits of plants and soil organisms that underlie nutrient cycling, herbivory, and fodder and fibre production. We propose that the assessment of trait–service clusters will represent a crucial step in ecosystem service monitoring and in balancing the delivery of multiple, and sometimes conflicting, services in ecosystem management.

817 citations

Journal ArticleDOI
TL;DR: The XENON100 detector, installed underground at the Laboratori Nazionali del Gran Sasso of INFN, Italy, finds no evidence for dark matter, leading to the most stringent limit on dark matter interactions today.
Abstract: We present results from the direct search for dark matter with the XENON100 detector, installed underground at the Laboratori Nazionali del Gran Sasso of INFN, Italy. XENON100 is a two-phase time-projection chamber with a 62 kg liquid xenon target. Interaction vertex reconstruction in three dimensions with millimeter precision allows the selection of only the innermost 48 kg as the ultralow background fiducial target. In 100.9 live days of data, acquired between January and June 2010, no evidence for dark matter is found. Three candidate events were observed in the signal region with an expected background of (1.8{+-}0.6) events. This leads to the most stringent limit on dark matter interactions today, excluding spin-independent elastic weakly interacting massive particle (WIMP) nucleon scattering cross sections above 7.0x10{sup -45} cm{sup 2} for a WIMP mass of 50 GeV/c{sup 2} at 90% confidence level.

815 citations

Journal ArticleDOI
TL;DR: There is a relationship between antioxidant potency and the total phenolic groups content in each extract, and Methanolic extracts are more potent as scavengers of peroxyl and superoxide radicals than the ethyl ether extracts.
Abstract: The antioxidant activities of methanol and ethyl ether extracts obtained from Thymus zygis, collected during the flowering or non-flowering period, were evaluated and compared. To investigate this potential, extracts were tested on their capacity to react with diphenylpicrylhydrazyl (DPPH) in a homogeneous medium, and to inhibit Fe2+/ascorbate-induced membrane lipid peroxidation, as estimated by the formation of thiobarbituric acid-reactive substances (TBARS). Although methanol extracts reduce DPPH radicals more efficiently than ethyl ether extracts, suggesting a potent radical scavenger activity, the ethyl ether extracts were found to be most active in inhibiting lipid peroxidation in sarcoplasmic reticulum (SR) membranes. In addition, both extracts present peroxyl and superoxide radical scavenging activities. Peroxyl radicals were generated by the water soluble 2,2'-azobis(2-amidinopropane) dihydrochloride (AAPH) azoinitiator, and the scavenging activities of the extracts were measured by the inhibition of cis-parinaric acid (PnA) fluorescence decay in SR. Superoxide radicals were generated either by an enzymatic or a non-enzymatic system, and the scavenger ability was evaluated by the inhibition of nitroblue tetrazolium reduction. Methanolic extracts are more potent as scavengers of peroxyl and superoxide radicals than the ethyl ether extracts. Apparently, there is a relationship between antioxidant potency and the total phenolic groups content in each extract.

805 citations

Journal ArticleDOI
19 Apr 2007-Neuron
TL;DR: The generation of transgenic mice that express a ChR2-YFP fusion protein in the CNS for in vivo activation and mapping of neural circuits is reported, demonstrating a highly reproducible, light-dependent activation of neurons and precise control of firing frequency in vivo.

801 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