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 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 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.

Parteikommunikation im Zeitalter von Social Media

2020 ◽  
Author(s):  
Mario Datts
Keyword(s):  
Social Media ◽  
Big Data ◽  
Political Parties ◽  
Explanatory Model ◽  
Election Campaigns ◽  
Data Set ◽  
Comprehensive Data ◽  
Party Members ◽  
District Offices

How active are the local branches of political parties on social media? Do such parties use social media on the training ground of democracy? This study answers these questions using a comprehensive data set consisting of big data and data from surveys. It identifies political parties’ key reasons for using social media by developing and examining a complex explanatory model, the results of which reveal that the majority of parties’ district offices are active on social media, for example on WhatsApp, Twitter and YouTube in addition to Facebook. One key reason for them using social media sites is their desire to meet the expectations of their own party members. Furthermore, they appear to use social media in their election campaigns and because of their general distrust of the conventional media’s reporting. What is noticeable is that the local divisions of the AfD in particular seem to be extremely successful in using social media.

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