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The Impact of Outer-Core Surface Heat Fluxes on the Convective Activities and Rapid Intensification of Tropical Cyclones 期刊论文
Journal of the Atmospheric Sciences, 2020
作者:  Peng, Chin-Hsuan;  Wu, Chun-Chieh
收藏  |  浏览/下载:5/0  |  提交时间:2020/11/09
Frictionally Induced Feedback in a Reduced Dynamical Model of Tropical Cyclone Intensification 期刊论文
Journal of the Atmospheric Sciences, 2020
作者:  Kieu, Chanh;  Rotunno, Richard;  Wang, Quan
收藏  |  浏览/下载:4/0  |  提交时间:2020/10/26
Description of Atmospheric Aerosol Dynamics Using an Inverse Gaussian Distributed Method of Moments 期刊论文
Journal of the Atmospheric Sciences, 2020
作者:  Shen, J.;  Yu, M.;  Lin, J.
收藏  |  浏览/下载:7/0  |  提交时间:2020/08/25
A New Parameterization of the Accretion of Cloud Water by Snow and Its Evaluation through Simulations of Mesoscale Convective Systems 期刊论文
Journal of the Atmospheric Sciences, 2020
作者:  Jin, Han-Gyul;  Baik, Jong-Jin
收藏  |  浏览/下载:4/0  |  提交时间:2020/08/09
Carbon loss from northern circumpolar permafrost soils amplified by rhizosphere priming 期刊论文
NATURE GEOSCIENCE, 2020
作者:  Keuper, Frida;  Wild, Birgit;  Kummu, Matti;  Beer, Christian;  Blume-Werry, Gesche;  Fontaine, Sebastien;  Gavazov, Konstantin;  Gentsch, Norman;  Guggenberger, Georg;  Hugelius, Gustaf;  Jalava, Mika;  Koven, Charles;  Krab, Eveline J.;  Kuhry, Peter;  Monteux, Sylvain;  Richter, Andreas;  Shahzad, Tanvir;  Weedon, James T.;  Dorrepaal, Ellen
收藏  |  浏览/下载:12/0  |  提交时间:2020/08/09
On the Relationship between the TKE Dissipation Rate and the Temperature Structure Function Parameter in the Convective Boundary Layer 期刊论文
Journal of the Atmospheric Sciences, 2020
作者:  Luce, Hubert;  Kantha, Lakshmi;  Hashiguchi, Hiroyuki;  Doddi, Abhiram;  Lawrence, Dale;  Yabuki, Masanori
收藏  |  浏览/下载:5/0  |  提交时间:2020/07/09
International evaluation of an AI system for breast cancer screening 期刊论文
NATURE, 2020, 577 (7788) : 89-+
作者:  McKinney, Scott Mayer;  Sieniek, Marcin;  Godbole, Varun;  Godwin, Jonathan;  Antropova, Natasha;  Ashrafian, Hutan;  Back, Trevor;  Chesus, Mary;  Corrado, Greg C.;  Darzi, Ara;  Etemadi, Mozziyar;  Garcia-Vicente, Florencia;  Gilbert, Fiona J.;  Halling-Brown, Mark;  Hassabis, Demis;  Jansen, Sunny;  Karthikesalingam, Alan;  Kelly, Christopher J.;  King, Dominic;  Ledsam, Joseph R.;  Melnick, David;  Mostofi, Hormuz;  Peng, Lily;  Reicher, Joshua Jay;  Romera-Paredes, Bernardino;  Sidebottom, Richard;  Suleyman, Mustafa;  Tse, Daniel;  Young, Kenneth C.;  De Fauw, Jeffrey;  Shetty, Shravya
收藏  |  浏览/下载:15/0  |  提交时间:2020/07/03

Screening mammography aims to identify breast cancer at earlier stages of the disease, when treatment can be more successful(1). Despite the existence of screening programmes worldwide, the interpretation of mammograms is affected by high rates of false positives and false negatives(2). Here we present an artificial intelligence (AI) system that is capable of surpassing human experts in breast cancer prediction. To assess its performance in the clinical setting, we curated a large representative dataset from the UK and a large enriched dataset from the USA. We show an absolute reduction of 5.7% and 1.2% (USA and UK) in false positives and 9.4% and 2.7% in false negatives. We provide evidence of the ability of the system to generalize from the UK to the USA. In an independent study of six radiologists, the AI system outperformed all of the human readers: the area under the receiver operating characteristic curve (AUC-ROC) for the AI system was greater than the AUC-ROC for the average radiologist by an absolute margin of 11.5%. We ran a simulation in which the AI system participated in the double-reading process that is used in the UK, and found that the AI system maintained non-inferior performance and reduced the workload of the second reader by 88%. This robust assessment of the AI system paves the way for clinical trials to improve the accuracy and efficiency of breast cancer screening.


  
A Spectral Data Compression (SDCOMP) Radiative Transfer Model for High-Spectral-Resolution Radiation Simulations 期刊论文
Journal of the Atmospheric Sciences, 2020
作者:  Chao Liu;  Bin Yao;  Vijay Natraj;  Fuzhong Weng;  Tianhao Le;  Run-Lie Shia;  Yuk L. Yung
收藏  |  浏览/下载:9/0  |  提交时间:2020/06/01
""Broadening of the Cloud Droplet Size Distribution due to Thermal Radiative Cooling: Turbulent Parcel Simulations 期刊论文
Journal of the Atmospheric Sciences, 2020
作者:  Mares Barekzai;  Bernhard Mayer
收藏  |  浏览/下载:4/0  |  提交时间:2020/05/25
Molecular tuning of CO2-to-ethylene conversion 期刊论文
NATURE, 2020, 577 (7791) : 509-+
作者:  Li, Fengwang;  39;Brien, Colin P.
收藏  |  浏览/下载:11/0  |  提交时间:2020/07/03

The electrocatalytic reduction of carbon dioxide, powered by renewable electricity, to produce valuable fuels and feedstocks provides a sustainable and carbon-neutral approach to the storage of energy produced by intermittent renewable sources(1). However, the highly selective generation of economically desirable products such as ethylene from the carbon dioxide reduction reaction (CO2RR) remains a challenge(2). Tuning the stabilities of intermediates to favour a desired reaction pathway can improve selectivity(3-5), and this has recently been explored for the reaction on copper by controlling morphology(6), grain boundaries(7), facets(8), oxidation state(9) and dopants(10). Unfortunately, the Faradaic efficiency for ethylene is still low in neutral media (60 per cent at a partial current density of 7 milliamperes per square centimetre in the best catalyst reported so far(9)), resulting in a low energy efficiency. Here we present a molecular tuning strategy-the functionalization of the surface of electrocatalysts with organic molecules-that stabilizes intermediates for more selective CO2RR to ethylene. Using electrochemical, operando/in situ spectroscopic and computational studies, we investigate the influence of a library of molecules, derived by electro-dimerization of arylpyridiniums(11), adsorbed on copper. We find that the adhered molecules improve the stabilization of an '  atop-bound'  CO intermediate (that is, an intermediate bound to a single copper atom), thereby favouring further reduction to ethylene. As a result of this strategy, we report the CO2RR to ethylene with a Faradaic efficiency of 72 per cent at a partial current density of 230 milliamperes per square centimetre in a liquid-electrolyte flow cell in a neutral medium. We report stable ethylene electrosynthesis for 190 hours in a system based on a membrane-electrode assembly that provides a full-cell energy efficiency of 20 per cent. We anticipate that this may be generalized to enable molecular strategies to complement heterogeneous catalysts by stabilizing intermediates through local molecular tuning.


Electrocatalytic reduction of CO2 over copper can be made highly selective by '  tuning'  the copper surface with adsorbed organic molecules to stabilize intermediates for carbon-based fuels such as ethylene