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Analysis of compositions of microbiomes with bias correction 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Lin, Huang;  Das Peddada, Shyamal
收藏  |  浏览/下载:2/0  |  提交时间:2020/07/21
Uncertainties in macroeconomic assessments of low-carbon transition pathways - The case of the European iron and steel industry 期刊论文
ECOLOGICAL ECONOMICS, 2020, 172
作者:  Bachner, G.;  Mayer, J.;  Steininger, K. W.;  Anger-Kraavi, A.;  Smith, A.;  Barker, T. S.
收藏  |  浏览/下载:9/0  |  提交时间:2020/07/02
Climate change mitigation  Uncertainty  Low carbon transition  Iron and steel  Macroeconomic modelling  Process emissions  
In situ X-ray diffraction of silicate liquids and glasses under dynamic and static compression to megabar pressures 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (22) : 11981-11986
作者:  Morard, Guillaume;  Hernandez, Jean-Alexis;  Guarguaglini, Marco;  Bolis, Riccardo;  Benuzzi-Mounaix, Alessandra;  Vinci, Tommaso;  Fiquet, Guillaume;  Baron, Marzena A.;  Shim, Sang Heon;  Ko, Byeongkwan;  Gleason, Arianna E.;  Mao, Wendy L.;  Alonso-Mori, Roberto;  Lee, Hae Ja;  Nagler, Bob;  Galtier, Eric;  Sokaras, Dimosthenis;  Glenzer, Siegfried H.;  Andrault, Denis;  Garbarino, Gaston;  Mezouar, Mohamed;  Schuster, Anja K.;  Ravasio, Alessandra
收藏  |  浏览/下载:12/0  |  提交时间:2020/05/20
amorphous silicates  high pressure  shock compression  static compression  XFEL diffraction  
Dynamics in a simple evolutionary-epidemiological model for the evolution of an initial asymptomatic infection stage 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (21) : 11541-11550
作者:  Saad-Roy, Chadi M.;  Wingreen, Ned S.;  Levin, Simon A.;  Grenfell, Bryan T.
收藏  |  浏览/下载:11/0  |  提交时间:2020/05/13
evolutionary analysis  pathogen life history strategies  asymptomatic infection stage  
Internal state dynamics shape brainwide activity and foraging behaviour 期刊论文
NATURE, 2020, 577 (7789) : 239-+
作者:  Marques, Joao C.;  Li, Meng;  Schaak, Diane;  Robson, Drew N.;  Li, Jennifer M.
收藏  |  浏览/下载:6/0  |  提交时间:2020/07/03

The brain has persistent internal states that can modulate every aspect of an animal'  s mental experience(1-4). In complex tasks such as foraging, the internal state is dynamic(5-8). Caenorhabditis elegans alternate between local search and global dispersal(5). Rodents and primates exhibit trade-offs between exploitation and exploration(6,7). However, fundamental questions remain about how persistent states are maintained in the brain, which upstream networks drive state transitions and how state-encoding neurons exert neuromodulatory effects on sensory perception and decision-making to govern appropriate behaviour. Here, using tracking microscopy to monitor whole-brain neuronal activity at cellular resolution in freely moving zebrafish larvae(9), we show that zebrafish spontaneously alternate between two persistent internal states during foraging for live prey (Paramecia). In the exploitation state, the animal inhibits locomotion and promotes hunting, generating small, localized trajectories. In the exploration state, the animal promotes locomotion and suppresses hunting, generating long-ranging trajectories that enhance spatial dispersion. We uncover a dorsal raphe subpopulation with persistent activity that robustly encodes the exploitation state. The exploitation-state-encoding neurons, together with a multimodal trigger network that is associated with state transitions, form a stochastically activated nonlinear dynamical system. The activity of this oscillatory network correlates with a global retuning of sensorimotor transformations during foraging that leads to marked changes in both the motivation to hunt for prey and the accuracy of motor sequences during hunting. This work reveals an important hidden variable that shapes the temporal structure of motivation and decision-making.


  
Diachronous development of Great Unconformities before Neoproterozoic Snowball Earth 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (19) : 10172-10180
作者:  Flowers, Rebecca M.;  Macdonald, Francis A.;  Siddoway, Christine S.;  Havranek, Rachel
收藏  |  浏览/下载:5/0  |  提交时间:2020/05/13
Great Unconformity  Snowball Earth  thermochronology  zircon (U-Th)/He  injectites  
A global perspective on sustainable intensification research 期刊论文
NATURE SUSTAINABILITY, 2020, 3 (4) : 262-268
作者:  Cassman, Kenneth G.;  Grassini, Patricio
收藏  |  浏览/下载:10/0  |  提交时间:2020/05/13
Comprehensive bycatch assessment in US fisheries for prioritizing management 期刊论文
NATURE SUSTAINABILITY, 2020, 3 (6) : 472-480
作者:  Savoca, Matthew S.;  Brodie, Stephanie;  Welch, Heather;  Hoover, Aimee;  Benaka, Lee R.;  Bograd, Steven J.;  Hazen, Elliott L.
收藏  |  浏览/下载:15/0  |  提交时间:2020/05/13
Digital transformation and localizing the Sustainable Development Goals (SDGs) 期刊论文
ECOLOGICAL ECONOMICS, 2020, 169
作者:  ElMassah, Suzanna;  Mohieldin, Mahmoud
收藏  |  浏览/下载:17/0  |  提交时间:2020/07/02
Sustainable Development Goals  Localization  Digital transformation  Big data  e-government  Information technology  Regional development  Virtual decentralization  
A simple dynamic model explains the diversity of island birds worldwide 期刊论文
NATURE, 2020
作者:  Li, Junxue;  Wilson, C. Blake;  Cheng, Ran;  Lohmann, Mark;  Kavand, Marzieh;  Yuan, Wei;  Aldosary, Mohammed;  Agladze, Nikolay;  Wei, Peng;  Sherwin, Mark S.;  Shi, Jing
收藏  |  浏览/下载:13/0  |  提交时间:2020/07/03

Colonization, speciation and extinction are dynamic processes that influence global patterns of species richness(1-6). Island biogeography theory predicts that the contribution of these processes to the accumulation of species diversity depends on the area and isolation of the island(7,8). Notably, there has been no robust global test of this prediction for islands where speciation cannot be ignored(9), because neither the appropriate data nor the analytical tools have been available. Here we address both deficiencies to reveal, for island birds, the empirical shape of the general relationships that determine how colonization, extinction and speciation rates co-vary with the area and isolation of islands. We compiled a global molecular phylogenetic dataset of birds on islands, based on the terrestrial avifaunas of 41 oceanic archipelagos worldwide (including 596 avian taxa), and applied a new analysis method to estimate the sensitivity of island-specific rates of colonization, speciation and extinction to island features (area and isolation). Our model predicts-with high explanatory power-several global relationships. We found a decline in colonization with isolation, a decline in extinction with area and an increase in speciation with area and isolation. Combining the theoretical foundations of island biogeography(7,8) with the temporal information contained in molecular phylogenies(10) proves a powerful approach to reveal the fundamental relationships that govern variation in biodiversity across the planet.


Using a global molecular phylogenetic dataset of birds on islands, the sensitivity of island-specific rates of colonization, speciation and extinction to island features (area and isolation) is estimated.