scholarly journals The Phenomenon of the Freedom Party: the Effect of Newness or the Beginning of a New Value Cleavage?

Politologija ◽  
2021 ◽  
Vol 102 (2) ◽  
pp. 8-37
Author(s):  
Ainė Ramonaitė
Keyword(s):  
Median Voter ◽  
Data Sets ◽  
Success Story ◽  
Lgbt Rights ◽  
New Parties ◽  
Value Shift ◽  
New Generation

The article analyzes the reasons of success of the Freedom Party in the 2020 Seimas elections. The case of Freedom Party is particularly interesting as it did not appeal to the median voter like previous new parties, but took a clearly liberal stance on such vulnerable issues (in rather conservative Lithuanian society) as LGBT rights. The article examines several probable accounts of the success story of the party: the newness of the party, the value shift in the society and the realignment of the voters. The article employs the data of the 2020 post-election survey and other relevant data sets. The analysis revealed that the effect of novelty contributed somewhat to the success of the Freedom Party, but the main reason for its good performance was the ability to mobilize liberal-minded voters, the number of which increased significantly compared to the 2016 Seimas elections. The party was able not only to take advantage of the changing values of the new generation, but also to consolidate liberal-minded voters who were previously dispersed. The results of the analysis suggest that attitudes on the conservatism–liberalism dimension have become an important factor determining party preferences in Lithuania, while so far, the only significant cleavage in Lithuania was based on different attitudes towards Russia and the Soviet past.

Dimensionality and Its Reduction

2014 ◽  
Author(s):  
Andrew J. Connolly ◽  
Jacob T. VanderPlas ◽  
Alexander Gray ◽  
Andrew J. Connolly ◽  
Jacob T. VanderPlas ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Reduction Technique ◽  
High Dimensional ◽  
Data Sets ◽  
Data Set ◽  
Gaussian Distributions ◽  
Dimensionality Reduction Technique ◽  
Alternative Techniques ◽  
New Generation

With the dramatic increase in data available from a new generation of astronomical telescopes and instruments, many analyses must address the question of the complexity as well as size of the data set. This chapter deals with how we can learn which measurements, properties, or combinations thereof carry the most information within a data set. It describes techniques that are related to concepts discussed when describing Gaussian distributions, density estimation, and the concepts of information content. The chapter begins with an exploration of the problems posed by high-dimensional data. It then describes the data sets used in this chapter, and introduces perhaps the most important and widely used dimensionality reduction technique, principal component analysis (PCA). The remainder of the chapter discusses several alternative techniques which address some of the weaknesses of PCA.

Non-Covalent Interactions Atlas Benchmark Data Sets: Hydrogen Bonding

2019 ◽  
Author(s):  
Jan Řezáč
Keyword(s):  
Hydrogen Bonding ◽  
Basis Sets ◽  
Data Sets ◽  
Neutral Systems ◽  
Benchmark Data ◽  
Wide Range ◽  
Non Covalent Interactions ◽  
Dissociation Curves ◽  
New Generation ◽  
Covalent Interactions

The Non-Covalent Interactions Atlas project (www.nciatlas.org) aims to cover a wide range of non-covalent interactions with a new generation of benchmark data sets. This paper presents the first two data sets focused on hydrogen bonding: HB375, featuring neutral systems, and IHB100 for ionic H-bonds. Both data sets are complemented by ten-point dissociation curves (HB375x10, IHB100x10). The interaction energies are extrapolated to the CCSD(T)/CBS limit from calculations in large basis sets. The paper also summarizes the design principles that will be used to construct the subsequent data sets in the series. The testing of DFT-D methods on the HB375 set has revealed interesting, previously unnoticed issues. The application of the new data to the testing and parameterization of semiempirical QM methods is also discussed.

A New Generation of Steerable Drilling Motor is Born - Understand the Unique Geometry, Drilling Benefits and Performance Gains

2021 ◽  
Author(s):  
Steve Jones ◽  
Junichi Sugiura
Keyword(s):  
High Surface ◽  
Bend Angle ◽  
Data Sets ◽  
Rotary Drilling ◽  
Bending Fatigue ◽  
Torsional Response ◽  
Geometry Design ◽  
And Performance ◽  
Performance Gains ◽  
New Generation

Abstract Steerable drilling motors still dominate US shale drilling applications. Shale well construction is commonly planned with monobore vertical, high dogleg-severity (DLS) curve and lateral sections. Limitations arise in each portion of the wellbore because one single bottomhole assembly (BHA) does not provide optimal results; hence, trips are required to optimize the BHA. The main disadvantage with existing steerable drilling motors is the requirement for high bend-angle settings to drill the high DLS curve portion of the wellbore. The geometry of a high bend-angle motor is only optimal for slide drilling the curve, it is not optimal for drilling the vertical and lateral portions of the wellbore. While drilling the vertical and lateral portions of the well, surface RPM (revolutions per minute) must be limited to reduce the cyclic bending fatigue on the large external bend. Not to mention poor wellbore quality while rotary drilling with a large external bend. To overcome this issue, a new geometry design was required. The new-generation motor uses a tilted internal drive mandrel aligned with a small external bend. This combination delivers the best of both worlds, providing high DLS capability while slide drilling and high surface-RPM capability while rotary drilling (because of the small external bend). Compact embedded drilling dynamics data recorders were used to validate the dynamic improvement of the new steerable-drilling-motor geometry versus older-style geometry with large external bend. The embedded sensors recorded at-point dynamics of shock and torsional response providing detailed comparative data sets during the development phase. The new-generation steerable-drilling-motor technology utilizes point-the-bit rotary-steerable-system (RSS) methods (for example, a tilted mandrel) with conventional steerable-motor methods (for example, an external bend). The combination of the internal tilt and external bend (aligned together) provides a completely new geometry for a steerable motor. This new geometry is beneficial for high DLS sliding capability, high surface-RPM rotary drilling and improved borehole quality (slide/rotate transition and rotary mode). This new steerable drilling motor with enhanced geometry was utilized to prove delivery of vertical/curve/lateral in one run, consistent DLS through the curve and improved tracking in the lateral. The results from development testing (comparing to older-geometry motors) will be described in this paper.

scholarly journals A team spectral inspection platform based on ASERA

2016 ◽  
Vol 12 (S325) ◽  
pp. 320-323
Author(s):  
Hailong Yuan ◽  
Yanxia Zhang ◽  
Yue Wu ◽  
Yajuan Lei ◽  
Yiqiao Dong ◽  
...  
Keyword(s):  
Spectral Data ◽  
Team Work ◽  
Data Sets ◽  
Data Set ◽  
Low Snr ◽  
Data Formats ◽  
Set Up ◽  
Eye Recognition ◽  
New Generation ◽  
Human Eyes

AbstractCurrently large sky area spectral surveys like SDSS, 2dF, and LAMOST, using the new generation of telescopes and observatories, have provided massive spectral data sets for astronomical research. Most of the data can be automatically handled with pipelines, but visually inspection by human eyes is still necessary in several situations, like low SNR spectra, QSO recognition and peculiar spectra mining. Using ASERA, A Spectrum Eye Recognition Assistant, we can set up a team spectral inspection platform. On a preselected spectral data set, members of a team can individually view spectra one by one, find the best match template and estimate the redshift. Results from different members will be gathered and merged to raise the team work efficiency. ASERA mainly targets the spectra of SDSS and LAMOST fits data formats. Other formats can be supported with some conversion. Spectral templates from SDSS and LAMOST pipelines are embedded and users can easily add their own templates. Convenient cross identification interfaces with SDSS, SIMBAD, VIZIER, NED and DSS are also provided. An application example targeting finding strong emission line spectra from LAMOST DR2 is presented.

scholarly journals Intelligent Control For Locating Fault in Transmission Lines

2011 ◽  
pp. 169-175
Author(s):  
Abhijit A Dutta ◽  
M.M. Rao ◽  
A.N. Kadu
Keyword(s):  
Intelligent Control ◽  
Transmission Lines ◽  
High Speed ◽  
Normal System ◽  
Data Sets ◽  
Neural Network Approach ◽  
New Approach ◽  
Abrupt Changes ◽  
Frequency Components ◽  
New Generation

This paper presents a new approach for locating fault in transmission line using intelligent control relaying. Fault must be detected at its inception by issuing an output signal indicating this condition. Neural network approach for locating fault can be posed as a pattern-recognition to recognize pure sinusoidal signals as indicators of a normal system condition; abrupt changes of amplitude, phase, or the presence of transient components as indicators of fault. This method uses the fundamental frequency components of voltage and current basically current at pre-fault and post fault condition, measured at each phase from any one end of the selected power system. In this approach the data sets were trained using the available data from the system which comprises of different fault types data, and fault inception angles. This approach of locating fault using intelligent control can be used for supporting a new generation of very high speed protective relaying system.

scholarly journals Non-Covalent Interactions Atlas Benchmark Data Sets 2: Hydrogen Bonding in an Extended Chemical Space

2020 ◽  
Author(s):  
Jan Řezáč
Keyword(s):  
Hydrogen Bonding ◽  
Organic Molecules ◽  
Chemical Space ◽  
Data Sets ◽  
Data Set ◽  
Benchmark Data ◽  
Non Covalent Interactions ◽  
Dissociation Curves ◽  
New Generation ◽  
Covalent Interactions

The Non-Covalent Interactions Atlas (www.nciatlas.org) aims to provide a new generation of benchmark data sets for non-covalent interactions. The HB300SPX data set presented here extends the coverage of hydrogen bonds to phosphorus, sulfur and halogens up to iodine. It is again complemented by a set of dissociation curves, HB300SPX×10. The new data make it possible to analyze the transferability of the parametrization of e.g. dispersion corrections for DFT from simple organic molecules to a broader chemical space. The HB300SPX×10 has also been used for the extension of the parametrization of hydrogen-bonding corrections in the semiempirical PM6-D3H4X and DFTB3-D3H5 methods to additional elements.<br>

SLSP and swisscovery – a Swiss success story on how to create a multilingual, national library network

ABI-Technik ◽  
2021 ◽  
Vol 41 (2) ◽  
pp. 64-70
Author(s):  
Thomas Marty ◽  
Jürgen Küssow
Keyword(s):  
Success Factors ◽  
Data Sets ◽  
Library Service ◽  
National Library ◽  
Success Story ◽  
Local Data ◽  
National Network ◽  
Key Success Factors ◽  
Library Network ◽  
Business And Management

Abstract With the ’go live’ of swisscovery, Swiss libraries have taken a big step into the future. Combining the migration of six local data sets with the creation of a national network and the independent library service provider SLSP (Swiss Library Service Platform) within a single project was a bold goal that was reached on 7 December 2020. Looking back on the three years of implementation (2018–2020), which followed the conception phase of 2015–2017, we identify and discuss the key success factors, hurdles that were faced, and challenges still to be met. While some of these elements are found on the technical level, others refer to business and management aspects. Indeed, such projects are always a combination of technological, economical, and human factors.

It’s My Generation, Baby! How Different Are (New) Parties in Slovakia in Terms of Descriptive Representation?

2020 ◽  
Vol 27 (3) ◽  
pp. 353-371
Author(s):  
Elisabeth Bakke
Keyword(s):  
Party Systems ◽  
Interesting Case ◽  
Candidate Selection ◽  
Party Leader ◽  
High Turnover ◽  
New Parties ◽  
Social Bias ◽  
The Social ◽  
New Generation ◽  
Point Of Departure

Party systems all over Europe are becoming more unstable, as new parties win representation. Many of these parties have few members and little or no presence ‘on the ground’ and they tend to present themselves as an alternative to the old, corrupt, and/or incompetent elites. But are they really? In this article I investigate how the parliamentary elites of new parties differ from the elites of more established parties, using the 2020 election as a point of departure. Slovakia is a particularly interesting case, because since 1992, at least one new party has entered parliament in every election bar one. I find that new and/or populist parties are not necessarily much more representative, but most of them do represent an alternative to the established elite in some respect. Strikingly, genuinely new parties not only have younger legislators, but also literally represent a new generation: the generation of the party leader. However, as new parties grow older, so do their parliamentary elites. In leadership-dominated parties the composition of the party leader’s inner circle clearly matters for candidate selection and hence, for the social bias of the parliamentary elite. Finally, the idiosyncratic nomination practice of OĽaNO, the new prime minister’s party, is part of the reason for the party’s relative social pluralism, as well as for high turnover, ideological diversity and low party loyalty.

scholarly journals The benefit of limb cloud imaging for tropospheric infrared limb sounding

2009 ◽  
Vol 2 (2) ◽  
pp. 589-620 ◽  
Author(s):  
S. Adams ◽  
R. Spang ◽  
P. Preusse ◽  
G. Heinemann
Keyword(s):  
Signal To Noise Ratio ◽  
Cloud Amount ◽  
Liquid Water Content ◽  
Small Scale ◽  
Data Sets ◽  
Cloud Data ◽  
Brightness Temperatures ◽  
Scale Modeling ◽  
Very High Spatial Resolution ◽  
New Generation

Abstract. Advances in detector technology enable a new generation of infrared limb sounders to measure 2-D images of the atmosphere. A proposed limb cloud imager (LCI) mode will measure clouds with very high spatial resolution. For the inference of temperature and trace gas distributions, detector pixels of the LCI have to be combined into super-pixels which provide the required signal-to-noise ratio and information content for the retrievals. This study examines the extent to which tropospheric coverage can be improved in comparison to limb sounding using a fixed field of view with the size of the super-pixels, as in conventional limb sounders. The study is based on cloud topographies derived from (a) IR brightness temperatures (BT) of geostationary weather satellites in conjunction with ECMWF temperature profiles and (b) ice and liquid water content data of the Consortium for Small-scale Modeling-Europe (COSMO-EU) of the German Weather Service. Limb cloud images are simulated by matching the cloud topography with the limb sounding line of sight (LOS). The analysis of the BT data shows that the reduction of the spatial sampling along the track has hardly any effect on the gain in information. The comparison between BT and COSMO-EU data identifies the strength of both data sets, which are the representation of the horizontal cloud extent for the BT data and the reproduction of the cloud amount for the COSMO-EU data. The results of the analysis of both data sets show the great advantage of the cloud imager. However, because both cloud data sets do not present the complete fine structure of the real cloud fields in the atmosphere it is assumed that the results tend to underestimate the increase in information. In conclusion, real measurements by such an instrument may result in an even higher benefit for tropospheric limb retrievals.

scholarly journals The benefit of limb cloud imaging for infrared limb sounding of tropospheric trace gases

2009 ◽  
Vol 2 (1) ◽  
pp. 287-298 ◽  
Author(s):  
S. Adams ◽  
R. Spang ◽  
P. Preusse ◽  
G. Heinemann
Keyword(s):  
Cloud Amount ◽  
Liquid Water Content ◽  
Trace Gas ◽  
Line Of Sight ◽  
Small Scale ◽  
Data Sets ◽  
Cloud Data ◽  
Brightness Temperatures ◽  
Scale Modeling ◽  
New Generation

Abstract. Advances in detector technology enable a new generation of infrared limb sounders to measure 2-D images of the atmosphere. A proposed limb cloud imager (LCI) mode will detect clouds with a spatial resolution unprecedented for limb sounding. For the inference of temperature and trace gas distributions, detector pixels of the LCI have to be combined into super-pixels which provide the required signal-to-noise and information content for the retrievals. This study examines the extent to which tropospheric coverage can be improved in comparison to limb sounding using a fixed field of view with the size of the super-pixels, as in conventional limb sounders. The study is based on cloud topographies derived from (a) IR brightness temperatures (BT) of geostationary weather satellites in conjunction with ECMWF temperature profiles and (b) ice and liquid water content data of the Consortium for Small-scale Modeling-Europe (COSMO-EU) of the German Weather Service. Limb cloud images are simulated by matching the cloud topography with the limb sounding line of sight (LOS). The analysis of the BT data shows that the reduction of the spatial sampling along the track has hardly any effect on the gain in information. The comparison between BT and COSMO-EU data identifies the strength of both data sets, which are the representation of the horizontal cloud extent for the BT data and the reproduction of the cloud amount for the COSMO-EU data. The results of the analysis of both data sets show the great advantage of the cloud imager. However, because both cloud data sets do not present the complete fine structure of the real cloud fields in the atmosphere it is assumed that the results tend to underestimate the increase in information. In conclusion, real measurements by such an instrument may result in an even higher benefit for tropospheric limb retrievals.

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