The temporal dimension of issue competition

2017 ◽  
Vol 24 (6) ◽  
pp. 708-718 ◽  
Author(s):  
Valentin Schröder ◽  
Christian Stecker
Keyword(s):  
Comparative Analysis ◽  
Roll Call ◽  
Public Attention ◽  
Roll Call Vote ◽  
Temporal Dimension ◽  
Data Set ◽  
German State ◽  
Tit For Tat ◽  
Party Strength ◽  
Issue Competition

Existing accounts of issue competition have focused on content: What issues do parties choose to compete with. We complement this literature with an account of parties’ choices on when to compete. Conceiving of the object of competition – public attention – as a common-pool resource, we explain the timing of party attempts at acquiring issues as an interdependent process. Outside of election times, parties coordinate their attempts along a tit-for-tat logic. Within election times, they raise rates of their attempts, rendering coordination futile. This especially concerns opposition parties. We test our hypotheses with a novel data set on roll call vote (RCV) requests in the 16 German state parliaments. These parliaments lend themselves to comparative analysis since they are nearly identical in institutional features and political positions of parties, yet diverse as concerns party strength and government participation at any point in time. The data set covers all 4849 RCVs held in 16.968 plenary sessions in the period 1947–2011.

scholarly journals Candidacy Eligibility Criteria and Party Unity

2020 ◽  
Vol 53 (8) ◽  
pp. 1298-1325 ◽  
Author(s):  
Jochen Rehmert
Keyword(s):  
Original Data ◽  
Candidate Selection ◽  
Roll Call ◽  
Selection Methods ◽  
Roll Call Vote ◽  
Eligibility Criteria ◽  
Data Set ◽  
Legislative Voting ◽  
Industrial Democracies ◽  
Formal Requirements

Extant research suggests that candidate selection methods can be consequential for party unity in legislative voting. Yet thus far, only variations in the selectorate and the degree of centralization have been examined. This article argues that Candidacy Eligibility Criteria (CEC), too, have implications for party unity. I theorize that with stricter formal requirements, parties avoid adverse selection and ensure the nomination of committed candidates. By using roll-call vote data from 16 industrial democracies, candidate surveys and an original data set consisting of nearly 500 historical party constitutions, I show that parties demanding prior membership and nudging aspirants to maintain networks within the party tend to be more unified in parliamentary voting. Moreover, their candidates, too, express greater loyalty when compared with parties without formal CEC. Thus, this article contributes to the literatures on party unity and on candidate selection by showing how certain party rules, hitherto neglected, affect party unity.

The Structural Landscape of SARS-CoV-2 Main Protease: Hints for Inhibitor Search.

2020 ◽  
Author(s):  
Luigi Leonardo Palese
Keyword(s):  
Comparative Analysis ◽  
Global Health ◽  
Binding Site ◽  
Causative Agent ◽  
Data Set ◽  
Substrate Binding Site ◽  
Global Pandemic ◽  
Main Protease ◽  
Crystallographic Structures ◽  
Structural Aspects

In 2019, an outbreak occurred which resulted in a global pandemic. The causative agent of this serious global health threat was a coronavirus similar to the agent of SARS, referred to as SARS-CoV-2. In this work an analysis of the available structures of the SARS-CoV-2 main protease has been performed. From a data set of crystallographic structures the dynamics of the protease has been obtained. Furthermore, a comparative analysis of the structures of SARS-CoV-2 with those of the main protease of the coronavirus responsible of SARS (SARS-CoV) was carried out. The results of these studies suggest that, although main proteases of SARS-CoV and SARS-CoV-2 are similar at the backbone level, some plasticity at the substrate binding site can be observed. The consequences of these structural aspects on the search for effective inhibitors of these enzymes are discussed, with a focus on already known compounds. The results obtained show that compounds containing an oxirane ring could be considered as inhibitors of the main protease of SARS-CoV-2.

Comparative Analysis of Machine Learning Techniques Using Predictive Modeling

2020 ◽  
Vol 13 ◽  
Author(s):  
Ritu Khandelwal ◽  
Hemlata Goyal ◽  
Rajveer Singh Shekhawat
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
Data Science ◽  
Training Data ◽  
Machine Learning Techniques ◽  
Future Trends ◽  
Data Set ◽  
Learning Stage ◽  
Learning Techniques ◽  
Different Types

Introduction: Machine learning is an intelligent technology that works as a bridge between businesses and data science. With the involvement of data science, the business goal focuses on findings to get valuable insights on available data. The large part of Indian Cinema is Bollywood which is a multi-million dollar industry. This paper attempts to predict whether the upcoming Bollywood Movie would be Blockbuster, Superhit, Hit, Average or Flop. For this Machine Learning techniques (classification and prediction) will be applied. To make classifier or prediction model first step is the learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations. Methods: All the techniques related to classification and Prediction such as Support Vector Machine(SVM), Random Forest, Decision Tree, Naïve Bayes, Logistic Regression, Adaboost, and KNN will be applied and try to find out efficient and effective results. All these functionalities can be applied with GUI Based workflows available with various categories such as data, Visualize, Model, and Evaluate. Result: To make classifier or prediction model first step is learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations Conclusion: This paper focuses on Comparative Analysis that would be performed based on different parameters such as Accuracy, Confusion Matrix to identify the best possible model for predicting the movie Success. By using Advertisement Propaganda, they can plan for the best time to release the movie according to the predicted success rate to gain higher benefits. Discussion: Data Mining is the process of discovering different patterns from large data sets and from that various relationships are also discovered to solve various problems that come in business and helps to predict the forthcoming trends. This Prediction can help Production Houses for Advertisement Propaganda and also they can plan their costs and by assuring these factors they can make the movie more profitable.

Intuitionistic fuzzy two-factor variance analysis of movie ticket sales

2021 ◽  
pp. 1-11
Author(s):  
Velichka Traneva ◽  
Stoyan Tranev
Keyword(s):  
Comparative Analysis ◽  
Real Data ◽  
Intuitionistic Fuzzy Sets ◽  
Real Numbers ◽  
Data Set ◽  
Important Method ◽  
Ticket Sales ◽  
Intuitionistic Fuzzy ◽  
The One ◽  
First Time

Analysis of variance (ANOVA) is an important method in data analysis, which was developed by Fisher. There are situations when there is impreciseness in data In order to analyze such data, the aim of this paper is to introduce for the first time an intuitionistic fuzzy two-factor ANOVA (2-D IFANOVA) without replication as an extension of the classical ANOVA and the one-way IFANOVA for a case where the data are intuitionistic fuzzy rather than real numbers. The proposed approach employs the apparatus of intuitionistic fuzzy sets (IFSs) and index matrices (IMs). The paper also analyzes a unique set of data on daily ticket sales for a year in a multiplex of Cinema City Bulgaria, part of Cineworld PLC Group, applying the two-factor ANOVA and the proposed 2-D IFANOVA to study the influence of “ season ” and “ ticket price ” factors. A comparative analysis of the results, obtained after the application of ANOVA and 2-D IFANOVA over the real data set, is also presented.

Europapolitik im föderalen Haus

2021 ◽  
Author(s):  
Antonios Souris
Keyword(s):  
Voting Behaviour ◽  
Civil Protection ◽  
The European Union ◽  
Roll Call ◽  
Investment Funds ◽  
Data Set ◽  
Ideal Types ◽  
Policy Positions ◽  
German States ◽  
The Eu

The European Union (EU) Committee of the German Bundesrat takes centre stage in the constitutionally guaranteed mechanism that allows the 16 German states (Länder) to participate in EU affairs. Hence, the EU Committee is a key player when it comes to the formulation of and decisions on the states’ policy positions towards Europe. This study scrutinises the interests and conflicts of the Länder based on three ideal types of voting behaviour, consensus as well as territorial and partisan dissensus, and a new data set that comprises 6,220 roll call votes in the EU Committee. Case studies on three policy issues, EU civil protection, the European structural and investment funds, and crisis management in the eurozone, complement the study’s data analysis.

Off the Record: Unrecorded Legislative Votes, Selection Bias and Roll-Call Vote Analysis

2006 ◽  
Vol 36 (4) ◽  
pp. 691-704 ◽  
Author(s):  
CLIFFORD J. CARRUBBA ◽  
MATTHEW GABEL ◽  
LACEY MURRAH ◽  
RYAN CLOUGH ◽  
ELIZABETH MONTGOMERY ◽  
...  
Keyword(s):  
Random Sample ◽  
Selection Bias ◽  
European Parliament ◽  
Roll Call ◽  
General Study ◽  
Roll Call Vote ◽  
Legislative Voting ◽  
Sampling Problem ◽  
The Universe

Scholars often use roll-call votes to study legislative behaviour. However, many legislatures only conclude a minority of decisions by roll call. Thus, if these votes are not a random sample of the universe of votes cast, scholars may be drawing misleading inferences. In fact, theories over why roll-call votes are requested would predict selection bias based on exactly the characteristics of legislative voting that scholars have most heavily studied. This article demonstrates the character and severity of this sampling problem empirically by examining European Parliament vote data for a whole year. Given that many legislatures decided only a fraction of their legislation by roll call, these findings have potentially important implications for the general study of legislative behaviour.

scholarly journals Roll-Call Vote Selection: Implications for the Study of Legislative Politics

2020 ◽  
Vol 114 (3) ◽  
pp. 691-706
Author(s):  
CAITLIN AINSLEY ◽  
CLIFFORD J. CARRUBBA ◽  
BRIAN F. CRISP ◽  
BETUL DEMIRKAYA ◽  
MATTHEW J. GABEL ◽  
...  
Keyword(s):  
Formal Model ◽  
Legislative Behavior ◽  
Legislative Politics ◽  
Roll Call ◽  
Roll Call Vote ◽  
Voting Procedures ◽  
Strategic Incentives ◽  
Theoretical Results ◽  
Representative Samples ◽  
Quantities Of Interest

Roll-call votes provide scholars with the opportunity to measure many quantities of interest. However, the usefulness of the roll-call sample depends on the population it is intended to represent. After laying out why understanding the sample properties of the roll-call record is important, we catalogue voting procedures for 145 legislative chambers, finding that roll calls are typically discretionary. We then consider two arguments for discounting the potential problem: (a) roll calls are ubiquitous, especially where the threshold for invoking them is low or (b) the strategic incentives behind requests are sufficiently benign so as to generate representative samples. We address the first defense with novel empirical evidence regarding roll-call prevalence and the second with an original formal model of the position-taking argument for roll-call vote requests. Both our empirical and theoretical results confirm that inattention to vote method selection should broadly be considered an issue for the study of legislative behavior.

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