Comprehensive Data Set of Single Particle Combustion under Oxy-fuel Conditions, Part I: Measurement Technique

2020 ◽  
pp. 1-22
Author(s):  
Nikita Vorobiev ◽  
Sarah Valentiner ◽  
Martin Schiemann ◽  
Viktor Scherer
Keyword(s):  
Measurement Technique ◽  
Single Particle ◽  
Data Set ◽  
Particle Combustion ◽  
Comprehensive Data

scholarly journals The Core of the Global Corporate Network

2021 ◽  
Author(s):  
Ricardo Giglio ◽  
Thomas Lux
Keyword(s):  
Network Topology ◽  
World Wide ◽  
Data Set ◽  
The Core ◽  
Comprehensive Data ◽  
The World ◽  
Corporate Network ◽  
Board Membership ◽  
National Networks ◽  
Wide Population

AbstractWe investigate the network topology of a comprehensive data set of the world-wide population of corporate entities. In particular, we have extracted information on the boards of all companies listed in Bloomberg’s archive of company profiles in October, 2015, a total of almost 100,000 firms. We provide information on board membership overlaps at various levels, and, in particular, show that there exists a core of directors who accumulate a large number of seats and are highly connected among themselves both at the level of national networks and at the worldwide aggregated level.

scholarly journals The Development of a Comprehensive Data Set for Systematic Studies of Machine Translation

2021 ◽  
pp. 248-262
Author(s):  
Jörg Tiedemann
Keyword(s):  
Machine Translation ◽  
Training Data ◽  
Sufficient Information ◽  
Data Set ◽  
Neural Machine Translation ◽  
High Resource ◽  
Language Groups ◽  
Comprehensive Data ◽  
Parallel Data ◽  
Initial Results

This paper presents our on-going efforts to develop a comprehensive data set and benchmark for machine translation beyond high-resource languages. The current release includes 500GB of compressed parallel data for almost 3,000 language pairs covering over 500 languages and language variants. We present the structure of the data set and demonstrate its use for systematic studies based on baseline experiments with multilingual neural machine translation between Finno-Ugric languages and other language groups. Our initial results show the capabilities of training effective multilingual translation models with skewed training data but also stress the shortcomings with low-resource settings and the difficulties to obtain sufficient information through straightforward transfer from related languages.

scholarly journals PHIPS-HALO: the airborne Particle Habit Imaging and Polar Scattering probe – Part 3: Single-particle phase discrimination and particle size distribution based on the angular-scattering function

2021 ◽  
Vol 14 (4) ◽  
pp. 3049-3070
Author(s):  
Fritz Waitz ◽  
Martin Schnaiter ◽  
Thomas Leisner ◽  
Emma Järvinen
Keyword(s):  
Particle Size ◽  
Single Particle ◽  
Large Data ◽  
The Arctic ◽  
Scattering Data ◽  
Scattering Function ◽  
Data Set ◽  
Phase Discrimination ◽  
Angular Scattering

Abstract. A major challenge for in situ observations in mixed-phase clouds remains the phase discrimination and sizing of cloud hydrometeors. In this work, we present a new method for determining the phase of individual cloud hydrometeors based on their angular-light-scattering behavior employed by the PHIPS (Particle Habit Imaging and Polar Scattering) airborne cloud probe. The phase discrimination algorithm is based on the difference of distinct features in the angular-scattering function of spherical and aspherical particles. The algorithm is calibrated and evaluated using a large data set gathered during two in situ aircraft campaigns in the Arctic and Southern Ocean. Comparison of the algorithm with manually classified particles showed that we can confidently discriminate between spherical and aspherical particles with a 98 % accuracy. Furthermore, we present a method for deriving particle size distributions based on single-particle angular-scattering data for particles in a size range from 100 µm ≤ D ≤ 700 µm and 20 µm ≤ D ≤ 700 µm for droplets and ice particles, respectively. The functionality of these methods is demonstrated in three representative case studies.

Pollutants formation during single particle combustion of biomass under fluidized bed conditions: An experimental study

Fuel ◽  
2020 ◽  
Vol 278 ◽  
pp. 117958 ◽  
Author(s):  
Iliyana Naydenova ◽  
Ognyan Sandov ◽  
Florian Wesenauer ◽  
Thomas Laminger ◽  
Franz Winter
Keyword(s):  
Experimental Study ◽  
Fluidized Bed ◽  
Single Particle ◽  
Particle Combustion

Single particle combustion studies of coal/biomass fuel mixtures

Energy ◽  
2020 ◽  
pp. 119329
Author(s):  
Samar Das ◽  
Pranay Kumar Sarkar ◽  
Sadhan Mahapatra
Keyword(s):  
Single Particle ◽  
Biomass Fuel ◽  
Particle Combustion ◽  
Fuel Mixtures

scholarly journals A New Comprehensive Data Set of Solar Filaments of 100 yr Interval. I.

2020 ◽  
Vol 249 (1) ◽  
pp. 11 ◽  
Author(s):  
GangHua Lin ◽  
GaoFei Zhu ◽  
Xiao Yang ◽  
YongLiang Song ◽  
Mei Zhang ◽  
...  
Keyword(s):  
Data Set ◽  
Comprehensive Data ◽  
Solar Filaments

scholarly journals Large-Volume WOCE Radiocarbon Sampling in the Pacific Ocean

Radiocarbon ◽  
1996 ◽  
Vol 38 (3) ◽  
pp. 519-561 ◽  
Author(s):  
Minze Stuiver ◽  
H. G. Östlund ◽  
Robert M. Key ◽  
Paula J. Reimer
Keyword(s):  
Pacific Ocean ◽  
Large Volume ◽  
University Of Washington ◽  
Data Set ◽  
Comprehensive Data ◽  
The Pacific ◽  
The Pacific Ocean ◽  
University Of Miami ◽  
The University

At the University of Miami Tritium Laboratory and the University of Washington Quaternary Isotope Laboratory, more than 1000 large-volume Pacific Ocean radiocarbon samples were measured for the WOCE program. Here we present a comprehensive data set, and a brief discussion of our findings.

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