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Resultados globales: 3 registros encontrados en 0.03 segundos.
Artículos, Encontrados 3 registros
Artículos Encontrados 3 registros  
1.
28 p, 1.6 MB Hybrid metal-phenol nanoparticles with polydopamine-like coating for PET/SPECT/CT imaging / Suárez García, Salvio (Institut Català de Nanociència i Nanotecnologia) ; Esposito, Tullio V. F. (University of British Columbia. Faculty of Pharmaceutical Sciences) ; Neufeld-Peters, Jenna (University of British Columbia. Faculty of Pharmaceutical Sciences) ; Bergamo, Marta (University of Copenhagen. Department of Pharmacy) ; Yang, Hua (TRIUMF) ; Saatchi, Katayoun (University of British Columbia. Faculty of Pharmaceutical Sciences) ; Schaffer, Paul (TRIUMF) ; Häfeli, Urs O. (University of Copenhagen. Department of Pharmacy) ; Ruiz-Molina, Daniel (Institut Català de Nanociència i Nanotecnologia) ; Rodríguez-Rodríguez, Cristina (University of British Columbia. Department of Physics and Astronomy) ; Novio Vázquez, Fernando (Universitat Autònoma de Barcelona. Departament de Química)
The validation of metal-phenolic nanoparticles (MPNs) in preclinical imaging studies represents a growing field of interest due to their versatility in forming predesigned structures with unique properties. [...]
2021 - 10.1021/acsami.0c20612
ACS applied materials & interfaces, Vol. 13, issue 9 (March 2021) , p. 10705-10718  
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2.
10 p, 1.6 MB Forest management in southern China generates short term extensive carbon sequestration / Tong, Xiaowei (Chinese Academy of Sciences. Institute of Subtropical Agriculture) ; Brandt, Martin (University of Copenhagen. Department of Geosciences and Natural Resource Management) ; Yue, Yuemin (Chinese Academy of Sciences. Institute of Subtropical Agriculture) ; Ciais, Philippe (Laboratoire des Sciences du Climat et de l'Environnement) ; Jepsen, Martin Rudbeck (University of Copenhagen. Department of Geosciences and Natural Resource Management) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Wigneron, Jean-Pierre (Institut National de la Recherche Agronomique (França)) ; Xiao, Xiangming (University of Oklahoma. Department of Microbiology and Plant Biology) ; Song, Xiao-Peng (Texas Tech University. Department of Geosciences) ; Horion, Stephanie (University of Copenhagen. Department of Geosciences and Natural Resource Management) ; Rasmussen, Kjeld (University of Copenhagen. Department of Geosciences and Natural Resource Management) ; Saatchi, Sassan (California Institute of Technology. Jet Propulsion Laboratory) ; Fan, Lei (Institut National de la Recherche Agronomique (França)) ; Wang, Kelin (Chinese Academy of Sciences. Institute of Subtropical Agriculture) ; Zhang, Bing (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth) ; Chen, Zhengchao (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth) ; Wang, Yuhang (Beijing Normal University. Faculty of Geographical Science) ; Li, Xiaojun (Institut National de la Recherche Agronomique (França)) ; Fensholt, Rasmus (University of Copenhagen. Department of Geosciences and Natural Resource Management)
Land use policies have turned southern China into one of the most intensively managed forest regions in the world, with actions maximizing forest cover on soils with marginal agricultural potential while concurrently increasing livelihoods and mitigating climate change. [...]
2020 - 10.1038/s41467-019-13798-8
Nature communications, Vol. 11 (2020) , art. 129  
Registro completo - Creative Commons
3.
14 p, 645.4 KB Vision Based Object Recognition and Localisation by a Wireless Connected Distributed Robotic Systems / Ahmed, M. Shuja (Sheffield Hallam University. Material and Engineering Research Institute) ; Saatchi, Reza (Sheffield Hallam University. Material and Engineering Research Institute) ; Caparrelli, Fabio (Sheffield Hallam University. Material and Engineering Research Institute)
Object recognition and localisation are important processes in computer vision and robotics. Advances in computer vision have resulted in many object recognition techniques, but most of them are computationally very intensive and require robots with powerful processing systems. [...]
2012 - 10.5565/rev/elcvia.486
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 11, Núm. 1 (2012) , p. 54-67  
Registro completo - Creative Commons

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