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Emilio Grande, Ate Visser, Pamela Beitz and Jean Moran
Water bodies in the East Bay Regional Park District (EBRPD), California, United States, provide aesthetic value and critical ecosystem services, but are often adversely affected by the activities and infrastructure of the intensely urban environment that...
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Jean-Pierre Garnier
Pág. 31
Amplamente midiatizadas e dramatizadas, as ?revoltas? de novembro de 2005 na França foram igualmente bastante analisadas. Privilegiando seus aspectos ?urbanos?, ?locais?, ou mesmo ?étnicos?, a maior parte das interpretações propostas pelos pesquisadores ...
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Marcos Fernández Gutiérrez, Ana Lara Gómez, Julio Revuelta
Pág. 125 - 144
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Jennifer Coston-Guarini, François Charles and Jean-Marc Guarini
An outbreak species exhibits extreme, rapid population fluctuations that can be qualified as discrete events within a continuous dynamic. When outbreaks occur they may appear novel and disconcerting because the limiting factors of their dynamics are not ...
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Jean-Marc Guarini and Jennifer Coston-Guarini
In their 2023 book, ?The Blue Compendium: From Knowledge to Action for a Sustainable Ocean Economy?, Lubchenko and Haugan invoked alternate stable (AS) states marginally as an undesired consequence of sources of disturbance on populations, communities an...
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Charlotte Amy, Jean-Christophe Avice, Karine Laval, Isabelle Trinsoutrot-Gattin and Mélanie Bressan
Biointrants constitute a promising opportunity to lower mineral input on rapeseed, characterized by high nutrient requirements. As bio-inoculants, phosphate-solubilizing bacteria (PSB) could increase the amount of available P in a soil solution. However,...
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Jean-Sébastien Dessureault, Félix Clément, Seydou Ba, François Meunier and Daniel Massicotte
The field of interior home design has witnessed a growing utilization of machine learning. However, the subjective nature of aesthetics poses a significant challenge due to its variability among individuals and cultures. This paper proposes an applied ma...
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Wandile Nhlapho, Marcellin Atemkeng, Yusuf Brima and Jean-Claude Ndogmo
The advent of deep learning (DL) has revolutionized medical imaging, offering unprecedented avenues for accurate disease classification and diagnosis. DL models have shown remarkable promise for classifying brain tumors from Magnetic Resonance Imaging (M...
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Louis Closson, Christophe Cérin, Didier Donsez and Jean-Luc Baudouin
This paper aims to provide discernment toward establishing a general framework, dedicated to data analysis and forecasting in smart buildings. It constitutes an industrial return of experience from an industrialist specializing in IoT supported by the ac...
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Emilie Pietersoone, Jean Michel Létang, Simon Rit, Emmanuel Brun and Max Langer
X-ray phase-contrast imaging (XPCI) is a family of imaging techniques that makes contrast visible due to phase shifts in the sample. Phase-sensitive techniques can potentially be several orders of magnitude more sensitive than attenuation-based technique...
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