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作者:Gewin, Virginia
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作者:Kozlov, Max
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作者:Worth, Tammy
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作者:[Anonymous]
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作者:Hu, Yuan; Jiang, Hou; Zhang, Chuan; Yuan, Jianlong; Zhang, Mengting; Yao, Ling; Chen, Qiang; Wu, Jichao; Zhang, Hualong; Ma, Subin; Li, Xiang; Zhang, Weiyu; Dong, Quanhua; Wen, Congcong; Yin, Gege; Zhang, Fan; Yu, Chaohui; Jin, Zhijun; Liu, Yu
作者单位:Peking University; Peking University; Chinese Academy of Sciences; Institute of Geographic Sciences & Natural Resources Research, CAS; Nanjing Institute of Geology & Paleontology, CAS; Peking University; Alibaba Group; Wuhan University; China Meteorological Administration; National Satellite Meteorological Center, China Meteorological Administration
摘要:The intrinsic variability of solar and wind energy, compounded by their rapid expansion, has intensified power curtailment challenges(1,2). Although spatiotemporal complementarity between these resources is widely recognized as a pathway to enhance renewable integration and reduce balancing requirements(3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15-16), existing assessments are largely based on hypothetical deployments(17, 18, 19, 20, 21, 22, 23-24). Consequently, how solar-wind complementarity ...
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作者:Juodzbalis, Ignas; Marconcini, Cosimo; D'Eugenio, Francesco; Maiolino, Roberto; Marconi, Alessandro; Ubler, Hannah; Scholtz, Jan; Ji, Xihan; Jones, Gareth C.; Perna, Michele; Arribas, Santiago; Bennett, Jake S.; Bromm, Volker; Bunker, Andrew J.; Carniani, Stefano; Charlot, Stephane; Cresci, Giovanni; Dayal, Pratika; Egami, Eiichi; Fabian, Andrew; Inayoshi, Kohei; Isobe, Yuki; Ivey, Lucy R.; Koudmani, Sophie; Laporte, Nicolas; Liu, Boyuan; Lyu, Jianwei; Mazzolari, Giovanni; Monty, Stephanie; Parlanti, Eleonora; Perez-Gonzalez, Pablo G.; Robertson, Brant; Schneider, Raffaella; Sijacki, Debora; Tacchella, Sandro; Trinca, Alessandro; Valiante, Rosa; Volonteri, Marta; Witstok, Joris; Zhang, Saiyang
作者单位:University of Cambridge; University of Cambridge; University of Florence; Istituto Nazionale Astrofisica (INAF); University of London; University College London; Max Planck Society; Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Centro de Astrobiologia (INTA); Smithsonian Institution; University of Texas System; University of Texas Austin; University of Oxford; Scuola Normale Superiore di Pisa; Centre National de la Recherche Scientifique (CNRS); Sorbonne Universite; University of Groningen; Kapteyn Astronomical Institute; University of Toronto; University of Arizona; University of Cambridge; Peking University; Waseda University; University of Hertfordshire; University of Cambridge; Centre National de la Recherche Scientifique (CNRS); Aix-Marseille Universite; Centre National d'Etudes Spatiales (CNES); Ruprecht Karls University Heidelberg; University of California System; University of California Santa Cruz; Sapienza University Rome; University of Insubria; Istituto Nazionale Astrofisica (INAF); University of Copenhagen; Niels Bohr Institute; University of Texas System; University of Texas Austin; University of Texas System; University of Texas Austin
摘要:Recent discoveries of faint active galactic nuclei (AGN) at the redshift frontier have revealed a plethora of broad H alpha emitters with optically red continua, named little red dots (LRDs)(1), which comprise 15-30% of the high-redshift broad-line AGN population(2). Owing to their peculiar properties(3, 4, 5-6), modelling LRDs with standard AGN scenarios has proven challenging. In particular, the validity of single-epoch virial mass estimates in determining the black-hole masses of LRDs has b...
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作者:Ou, Dequan; Hagenaars, Jesse J.; Jankowski, Maciej R.; Firlefyn, Michiel V. M.; De Wagter, Christophe; Muijres, Florian T.; Degen, Jacqueline; de Croon, Guido C. H. E.
作者单位:Delft University of Technology; Wageningen University & Research; Carl von Ossietzky Universitat Oldenburg
摘要:Navigation is a crucial capability for both animals and robots. Although tiny flying insects can robustly navigate over long distances(1), state-of-the-art robot navigation methods are computationally expensive and therefore restricted to large robots(2,3). Here we propose 'Bee-Nav', a highly efficient navigation strategy inspired by the visual learning flights of honeybees(4, 5-6). In equivalent robotic learning flights, a tiny neural network is trained to map omnidirectional images to a home...
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作者:Achilly, Nathan P.; Wang, Wei; Zoghbi, Huda Y.
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作者:Gorna, Maria W.; Tomza, Michal; Starosta, Agata; Okruszek, Lukasz
作者单位:University of Warsaw; Polish Academy of Sciences
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作者:Yaghoubi, Mohammad; Kumar, M. Ganesh; Nieto-Posadas, Andres; Mosser, Coralie-Anne; Gisiger, Thomas; Wilson, Emmanuel; Pehlevan, Cengiz; Williams, Sylvain; Brandon, Mark P.