scholarly journals Corrigendum: Single-particle measurements of filamentous influenza virions reveal damage induced by freezing

2021 ◽  
Vol 102 (8) ◽  
Author(s):  
Jack C. Hirst ◽  
Edward C. Hutchinson
2015 ◽  
Vol 3 (33) ◽  
pp. 17016-17021 ◽  
Author(s):  
N. Zettsu ◽  
K. Nishikawa ◽  
K. Yubuta ◽  
K. Sakurai ◽  
Y. Yamamoto ◽  
...  

Hexagonal cylindrical LiCoO2crystals surrounded by large {104} planes prepared through template-mediated flux growth exhibit fast Li+transfer and favorable electrochemical performance at high current rates.


2013 ◽  
Vol 13 (3) ◽  
pp. 649-663 ◽  
Author(s):  
Wei Huang ◽  
Qiao-Yan Wen ◽  
Bin Liu ◽  
Fei Gao ◽  
Ying Sun

2016 ◽  
Vol 30 (02) ◽  
pp. 1550267 ◽  
Author(s):  
Yi Xiang ◽  
Zhi Wen Mo

In this paper, we proposed a three-party quantum secret sharing (QSS) scheme using four-dimensional three-particle entangled states. In this QSS scheme, each agent can obtain a shadow of the secret key by performing single-particle measurements. Compared with the existing QSS protocol, this scheme has high efficiency and can resist the eavesdropping attack and entangle-measuring attack, which using three-particle entangled states are based on four-dimensional Hilbert space.


2011 ◽  
Vol 11 (1) ◽  
pp. 1219-1264 ◽  
Author(s):  
C.-H. Jeong ◽  
M. L. McGuire ◽  
K. J. Godri ◽  
J. G. Slowik ◽  
P. J. G. Rehbein ◽  
...  

Abstract. Mass concentrations of particulate matter (PM) chemical components were determined from data for 0.3 to 3.0 μm particles measured by an Aerosol Time-of-Flight Mass Spectrometer (ATOFMS) data at an urban and rural site. Hourly-averaged concentrations of nitrate, sulphate, ammonium, organic carbon, and elemental carbon, estimated based on scaled ATOFMS peak intensities of corresponding ion marker species, were compared with collocated chemical composition measurements by an Aerosol Mass Spectrometer (AMS), a Gas-Particle Ion Chromatograph (GPIC), and a Sunset Lab field OCEC analyzer. The highest correlation was found for nitrate, with correlation coefficients (Pearson r) of 0.89 and 0.85 at the urban and rural sites, respectively. ATOFMS mass calibration factors, determined for the urban site, were used to calculate mass concentrations of the major PM chemical components at the rural site. Mass reconstruction using this ATOFMS based composition data agreed very well with the total PM mass measured at the rural site. Size distributions of the ten main types of particles were resolved for the rural site and the mass composition of each particle type was determined in terms of sulphate, nitrate, ammonium, organic carbon and elemental carbon. This is the first study to estimate hourly mass concentrations of individual aerosol components and the mass composition of individual particle-types based on ATOFMS single particle measurements.


2015 ◽  
Vol 15 (22) ◽  
pp. 32157-32183 ◽  
Author(s):  
A. K. Y. Lee ◽  
M. D. Willis ◽  
R. M. Healy ◽  
J. M. Wang ◽  
C.-H. Jeong ◽  
...  

Abstract. Biomass burning is a major source of black carbon (BC) and primary organic aerosol globally. In particular, biomass burning organic aerosol (BBOA) is strongly associated with atmospheric brown carbon (BrC) that absorbs near ultraviolet and visible light, resulting in significant impacts on regional visibility degradation and radiative forcing. The mixing state of BBOA can play a critical role in the prediction of aerosol optical properties. In this work, single particle measurements from a soot-particle aerosol mass spectrometer coupled with a light scattering module (LS-SP-AMS) were performed to examine the mixing state of BBOA, refractory black carbon (rBC) and potassium (K+, a tracer for biomass burning aerosol) in an air mass influenced by aged biomass burning. Cluster analysis of single particle measurements identified five BBOA-related particle types. rBC accounted for 3–14 w.t. % of these particle types on average. Only one particle type exhibited a strong ion signal for K+, with mass spectra characterized by low molecular weight organic species. The remaining four particle types were classified based on the apparent molecular weight of the BBOA constituents. Two particle types were associated with low potassium content and significant amounts of high molecular weight (HMW) organic compounds. Our observations indicate non-uniform mixing of particles within a biomass burning plume in terms of molecular weight and illustrate that HMW BBOA can be a key contributor to low-volatility BrC observed in BBOA particles.


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