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Synthesis and properties of free-standing monolayer amorphous carbon 期刊论文
NATURE, 2020, 577 (7789) : 199-+
作者:  Toh, Chee-Tat;  Zhang, Hongji;  Lin, Junhao;  Mayorov, Alexander S.;  Wang, Yun-Peng;  Orofeo, Carlo M.;  Ferry, Darim Badur;  Andersen, Henrik;  Kakenov, Nurbek;  Guo, Zenglong;  Abidi, Irfan Haider;  Sims, Hunter;  Suenaga, Kazu;  Pantelides, Sokrates T.;  Ozyilmaz, Barbaros
收藏  |  浏览/下载:20/0  |  提交时间:2020/07/03

Bulk amorphous materials have been studied extensively and are widely used, yet their atomic arrangement remains an open issue. Although they are generally believed to be Zachariasen continuous random networks(1), recent experimental evidence favours the competing crystallite model in the case of amorphous silicon(2-4). In two-dimensional materials, however, the corresponding questions remain unanswered. Here we report the synthesis, by laser-assisted chemical vapour deposition(5), of centimetre-scale, free-standing, continuous and stable monolayer amorphous carbon, topologically distinct from disordered graphene. Unlike in bulk materials, the structure of monolayer amorphous carbon can be determined by atomic-resolution imaging. Extensive characterization by Raman and X-ray spectroscopy and transmission electron microscopy reveals the complete absence of long-range periodicity and a threefold-coordinated structure with a wide distribution of bond lengths, bond angles, and five-, six-, seven- and eight-member rings. The ring distribution is not a Zachariasen continuous random network, but resembles the competing (nano)crystallite model(6). We construct a corresponding model that enables density-functional-theory calculations of the properties of monolayer amorphous carbon, in accordance with observations. Direct measurements confirm that it is insulating, with resistivity values similar to those of boron nitride grown by chemical vapour deposition. Free-standing monolayer amorphous carbon is surprisingly stable and deforms to a high breaking strength, without crack propagation from the point of fracture. The excellent physical properties of this stable, free-standing monolayer amorphous carbon could prove useful for permeation and diffusion barriers in applications such as magnetic recording devices and flexible electronics.


  
Population flow drives spatio-temporal distribution of COVID-19 in China 期刊论文
NATURE, 2020
作者:  Fernandez, Diego Carlos;  Komal, Ruchi;  Langel, Jennifer;  Ma, Jun;  Duy, Phan Q.;  Penzo, Mario A.;  Zhao, Haiqing;  Hattar, Samer
收藏  |  浏览/下载:84/0  |  提交时间:2020/07/03

Sudden, large-scale and diffuse human migration can amplify localized outbreaks of disease into widespread epidemics(1-4). Rapid and accurate tracking of aggregate population flows may therefore be epidemiologically informative. Here we use 11,478,484 counts of mobile phone data from individuals leaving or transiting through the prefecture of Wuhan between 1 January and 24 January 2020 as they moved to 296 prefectures throughout mainland China. First, we document the efficacy of quarantine in ceasing movement. Second, we show that the distribution of population outflow from Wuhan accurately predicts the relative frequency and geographical distribution of infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) until 19 February 2020, across mainland China. Third, we develop a spatio-temporal '  risk source'  model that leverages population flow data (which operationalize the risk that emanates from epidemic epicentres) not only to forecast the distribution of confirmed cases, but also to identify regions that have a high risk of transmission at an early stage. Fourth, we use this risk source model to statistically derive the geographical spread of COVID-19 and the growth pattern based on the population outflow from Wuhan  the model yields a benchmark trend and an index for assessing the risk of community transmission of COVID-19 over time for different locations. This approach can be used by policy-makers in any nation with available data to make rapid and accurate risk assessments and to plan the allocation of limited resources ahead of ongoing outbreaks.


Modelling of population flows in China enables the forecasting of the distribution of confirmed cases of COVID-19 and the identification of areas at high risk of SARS-CoV-2 transmission at an early stage.


  
Measuring and forecasting progress towards the education-related SDG targets 期刊论文
NATURE, 2020, 580 (7805) : 636-+
作者:  Hindell, Mark A.;  Reisinger, Ryan R.;  Ropert-Coudert, Yan;  Huckstadt, Luis A.;  Trathan, Philip N.;  Bornemann, Horst;  Charrassin, Jean-Benoit;  Chown, Steven L.;  Costa, Daniel P.;  Danis, Bruno;  Lea, Mary-Anne;  Thompson, David;  Torres, Leigh G.;  Van de Putte, Anton P.
收藏  |  浏览/下载:42/0  |  提交时间:2020/07/03

Education is a key dimension of well-being and a crucial indicator of development(1-4). The Sustainable Development Goals (SDGs) prioritize progress in education, with a new focus on inequality(5-7). Here we model the within-country distribution of years of schooling, and use this model to explore educational inequality since 1970 and to forecast progress towards the education-related 2030 SDG targets. We show that although the world is largely on track to achieve near-universal primary education by 2030, substantial challenges remain in the completion rates for secondary and tertiary education. Globally, the gender gap in schooling had nearly closed by 2018 but gender disparities remained acute in parts of sub-Saharan Africa, and North Africa and the Middle East. It is predicted that, by 2030, females will have achieved significantly higher educational attainment than males in 18 countries. Inequality in education reached a peak globally in 2017 and is projected to decrease steadily up to 2030. The distributions and inequality metrics presented here represent a framework that can be used to track the progress of each country towards the SDG targets and the level of inequality over time. Reducing educational inequality is one way to promote a fairer distribution of human capital and the development of more equitable human societies.


Great progress toward the education-related SDG targets has been made  however, global estimates of within-country distributions of education reveal gender disparities and high levels of total inequality in many parts of the world.


  
A distributional code for value in dopamine-based reinforcement learning 期刊论文
NATURE, 2020, 577 (7792) : 671-+
作者:  House, Robert A.;  Maitra, Urmimala;  Perez-Osorio, Miguel A.;  Lozano, Juan G.;  Jin, Liyu;  Somerville, James W.;  Duda, Laurent C.;  Nag, Abhishek;  Walters, Andrew;  Zhou, Ke-Jin;  Roberts, Matthew R.;  Bruce, Peter G.
收藏  |  浏览/下载:75/0  |  提交时间:2020/07/03

Since its introduction, the reward prediction error theory of dopamine has explained a wealth of empirical phenomena, providing a unifying framework for understanding the representation of reward and value in the brain(1-3). According to the now canonical theory, reward predictions are represented as a single scalar quantity, which supports learning about the expectation, or mean, of stochastic outcomes. Here we propose an account of dopamine-based reinforcement learning inspired by recent artificial intelligence research on distributional reinforcement learning(4-6). We hypothesized that the brain represents possible future rewards not as a single mean, but instead as a probability distribution, effectively representing multiple future outcomes simultaneously and in parallel. This idea implies a set of empirical predictions, which we tested using single-unit recordings from mouse ventral tegmental area. Our findings provide strong evidence for a neural realization of distributional reinforcement learning.


Analyses of single-cell recordings from mouse ventral tegmental area are consistent with a model of reinforcement learning in which the brain represents possible future rewards not as a single mean of stochastic outcomes, as in the canonical model, but instead as a probability distribution.


  
Modeling the Snow Depth Variability With a High-Resolution Lidar Data Set and Nonlinear Terrain Dependency 期刊论文
WATER RESOURCES RESEARCH, 2019
作者:  Skaugen, T.;  Melvold, K.
收藏  |  浏览/下载:12/0  |  提交时间:2020/02/16
Snow depth distribution  Laser scan of snow depth  snow depth distribution model  
Extreme, wintertime Saharan dust intrusion in the Iberian Peninsula: Lidar monitoring and evaluation of dust forecast models during the February 2017 event 期刊论文
ATMOSPHERIC RESEARCH, 2019, 228: 223-241
作者:  Fernandez, Alfonso J.;  Sicard, Michael;  Costa, Maria J.;  Guerrero-Rascado, Juan L.;  Gomez-Amo, Jose L.;  Molero, Francisco;  Barragan, Ruben;  Basart, Sara;  Bortoli, Daniele;  Bedoya-Velasquez, Andres E.;  Utrillas, Maria P.;  Salvador, Pedro;  Granados-Munoz, Maria J.;  Potes, Miguel;  Ortiz-Amezcua, Pablo;  Martinez-Lozano, Jose A.;  Artinano, Begona;  Munoz-Porcar, Constantino;  Salgado, Rui;  Roman, Roberto;  Rocadenbosch, Francesc;  Salgueiro, Vanda;  Benavent-Oltra, Jose A.;  Rodriguez-Gomez, Alejandro;  Alados-Arboledas, Lucas;  Comeron, Adolfo;  Pujadas, Manuel
收藏  |  浏览/下载:27/0  |  提交时间:2019/11/27
Extreme Saharan dust intrusion  Particle optical properties  Sun-photometer  Multi-wavelength lidar  Dust forecast model  Model evaluation  Vertical distribution  
Nonstationary warm spell frequency analysis integrating climate variability and change with application to the Middle East 期刊论文
CLIMATE DYNAMICS, 2019, 53: 5329-5347
作者:  Ouarda, Taha B. M. J.;  Charron, Christian;  Kumar, Kondapalli Niranjan;  Phanikumar, Devulapalli Venkata;  Molini, Annalisa;  Basha, Ghouse
收藏  |  浏览/下载:20/0  |  提交时间:2019/11/27
Winter warm spell  Nonstationary model  Frequency analysis  Climate index  Climate change  Natural climate variability  Statistical distribution  Middle East  
Power-law behaviour of hourly precipitation intensity and dry spell duration over the United States 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019
作者:  Yang, Lichao;  Franzke, Christian L. E.;  Fu, Zuntao
收藏  |  浏览/下载:17/0  |  提交时间:2019/11/27
extreme precipitation  hourly precipitation  power-law distribution  regional climate model  waiting time distribution  
Widespread drought-induced tree mortality at dry range edges indicates that climate stress exceeds species' compensating mechanisms 期刊论文
GLOBAL CHANGE BIOLOGY, 2019, 25 (11) : 3793-3802
作者:  Anderegg, William R. L.;  Anderegg, Leander D. L.;  Kerr, Kelly L.;  Trugman, Anna T.
收藏  |  浏览/下载:23/0  |  提交时间:2019/11/27
climate change  extreme events  plant traits  species distribution  vegetation model  
Forecasting species range dynamics with process-explicit models: matching methods to applications 期刊论文
ECOLOGY LETTERS, 2019, 22 (11) : 1940-1956
作者:  Briscoe, Natalie J.;  Elith, Jane;  Salguero-Gomez, Roberto;  Lahoz-Monfort, Jose J.;  Camac, James S.;  Giljohann, Katherine M.;  Holden, Matthew H.;  Hradsky, Bronwyn A.;  Kearney, Michael R.;  McMahon, Sean M.;  Phillips, Ben L.;  Regan, Tracey J.;  Rhodes, Jonathan R.;  Vesk, Peter A.;  Wintle, Brendan A.;  Yen, Jian D. L.;  Guillera-Arroita, Gurutzeta
收藏  |  浏览/下载:23/0  |  提交时间:2019/11/27
Demography  mechanistic  population dynamics  process-based models  species distribution model