Institution
University of the Aegean
Education•Mytilene, Greece•
About: University of the Aegean is a education organization based out in Mytilene, Greece. It is known for research contribution in the topics: Population & Context (language use). The organization has 2818 authors who have published 8100 publications receiving 179275 citations. The organization is also known as: UAEG.
Papers published on a yearly basis
Papers
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Plymouth Marine Laboratory1, European Space Research and Technology Centre2, Airbus Defence and Space3, University of Cádiz4, IFREMER5, University of Oldenburg6, VU University Amsterdam7, University of Hawaii8, University of Auckland9, National Oceanic and Atmospheric Administration10, University of Western Australia11, Flemish Institute for Technological Research12, University of Plymouth13, University of the Aegean14, Utrecht University15
TL;DR: Steps needed to develop marine plastic debris detection by remote sensing platforms are proposed in terms of fundamental science as well as linkages to ongoing planning for satellite systems with similar observation requirements.
Abstract: Sustained observations are required to determine the marine plastic debris mass balance and to support effective policy for planning remedial action. However, observations currently remain scarce at the global scale. A satellite remote sensing system could make a substantial contribution to tackling this problem. Here, we make initial steps towards the potential design of such a remote sensing system by: (1) identifying the properties of marine plastic debris amenable to remote sensing methods and (2) highlighting the oceanic processes relevant to scientific questions about marine plastic debris. Remote sensing approaches are reviewed and matched to the optical properties of marine plastic debris and the relevant spatio-temporal scales of observation to identify challenges and opportunities in the field. Finally, steps needed to develop marine plastic debris detection by remote sensing platforms are proposed in terms of fundamental science as well as linkages to ongoing planning for satellite systems with similar observation requirements.
85 citations
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TL;DR: Perceived computer experience and confidence with computers were strongly related to favorable attitudes toward computers, and the relationship between age and GCAS was not significant, whereas sex did not have a significant effect on GCAS scores.
85 citations
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TL;DR: In this article, the rate and direction of change might not be in line with societal needs and more information on the forces driving these changes are therefor, more information can be found.
Abstract: ContextCultural landscapes evolve over time. However, the rate and direction of change might not be in line with societal needs and more information on the forces driving these changes are therefor ...
85 citations
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TL;DR: In this paper, a ship with heave and pitch motions in head waves is investigated numerically, and a six-degree-of-freedom (6DoF) module is implemented to predict the ship motions.
Abstract: RANS computations of a ship with heave and pitch motions in head waves are presented. The added resistance, heave and pitch motions are investigated numerically. The computations are based on volume of fluid (VOF) and dynamic deformation mesh methods, discretized by finite volume method (FVM). A six-degree-of-freedom (6DoF) module is implemented to predict the ship motions. Four wave conditions with a wide range of wave steepness 400025 ≤ ak ≤ 001005 are considered. The wave length for all conditions is one ship length, and the results show strong nonlinear features, especially for ak = 00100, where the phenomenon of green water on deck is observed. The comparison of added resistance between the presented computational results and measurements shows good agreement. A grid convergence study with three different grids is performed at ak = 00025 for validation. All computations are performed by our solver, naoe-Foam-SJTU, developed under the framework of the open source code, OpenFOAM.
85 citations
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Imperial College London1, American Museum of Natural History2, University of Bonn3, National University of Comahue4, Smithsonian Tropical Research Institute5, Nottingham Trent University6, University of Reading7, Carleton University8, Wageningen University and Research Centre9, University of East London10, Commonwealth Scientific and Industrial Research Organisation11, British Trust for Ornithology12, University of Kiel13, ETH Zurich14, Royal Society for the Protection of Birds15, University of Koblenz and Landau16, University of Marburg17, University of Pisa18, Colorado State University19, University of Sussex20, Helmholtz Centre for Environmental Research - UFZ21, University of Göttingen22, University of Plymouth23, University of Iowa24, University of Würzburg25, University of Giessen26, Federal Agency for Nature Conservation27, Institut de recherche pour le développement28, International Center for Tropical Agriculture29, Institut national de la recherche agronomique30, University of Melbourne31, Plant & Food Research32, National University of Colombia33, University of California, Riverside34, University of Novi Sad35, Lund University36, Swedish University of Agricultural Sciences37, The Lodge38, University of East Anglia39, University of the Aegean40, Cornell University41, Trinity College, Dublin42, Canadian Real Estate Association43, University of New England (Australia)44, Brock University45, University of Virginia46, Université du Québec à Montréal47, University of Birmingham48, Stockholm University49, University of Bern50, Animal and Plant Health Inspection Service51, Northwestern University52, Saint Louis University53, University of Canterbury54, Katholieke Universiteit Leuven55, Universidad de las Américas Puebla56
TL;DR: Analysis of a global dataset of bee diversity at sites facing land-use change and intensification suggests that global extrapolation of models based on geographically and taxonomic restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises.
Abstract: Land-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresentative; most data are from North America and Western Europe, overrepresenting bumblebees and raising concerns that model results may not be generalizable to other regions and taxa. To assess whether the geographic and taxonomic biases of data could undermine effectiveness of models for conservation policy, we have collated from the published literature a global dataset of bee diversity at sites facing land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees. Our analyses highlight strong regionally-based responses of total abundance, species richness and Simpson's diversity to land use, caused by variation in the sensitivity of species and potentially in the nature of threats. These results suggest that global extrapolation of models based on geographically and taxonomically restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises.
85 citations
Authors
Showing all 2889 results
Name | H-index | Papers | Citations |
---|---|---|---|
B. G. Pope | 125 | 926 | 75215 |
C. Guicheney | 88 | 271 | 37715 |
Konstantinos Papageorgiou | 83 | 365 | 22316 |
Ioannis Gkialas | 83 | 316 | 21400 |
Konstantinos Papageorgiou | 71 | 280 | 17500 |
Th. D. Papadopoulou | 70 | 272 | 32541 |
Ioannis Gkialas | 70 | 268 | 16867 |
Mikael Johansson | 65 | 526 | 18329 |
Penelope Vounatsou | 63 | 242 | 11944 |
Nikolaos S. Thomaidis | 57 | 275 | 10388 |
Camilla Di Donato | 57 | 185 | 9481 |
Nicholas Apergis | 56 | 445 | 14876 |
Polychronis C Tzedakis | 54 | 106 | 8982 |
Stelios Katsanevakis | 47 | 183 | 7680 |
Diomidis Spinellis | 45 | 314 | 7819 |