Selection rules for electric multipole transition of triatomic molecule in scattering experiments

2018 ◽  
Vol 27 (4) ◽  
pp. 043101 ◽  
Author(s):  
Hong-Chun Tian ◽  
Long-Quan Xu ◽  
Lin-Fan Zhu
2003 ◽  
Vol 40 (12) ◽  
pp. 1014-1018 ◽  
Author(s):  
Shigeki TOKITA ◽  
Yasukazu IZAWA ◽  
Hideaki NIKI ◽  
Fumiyoshi KUWASHIMA

2019 ◽  
Vol 7 (1) ◽  
pp. 120-137 ◽  
Author(s):  
Mindaugas Jurkynas

AbstractThe article discusses conceptualisation of populism, Lithuania’s party system and electoral dynamics and their relation to the sustainability of populist parties. Special attention is given to Party Order and Justice, a former populist and protest party, and its leadership, namely to the issues related to scope and competencies of a leader’s intra-partisan power, leadership selection rules and history, development of leaders’ political careers and their electoral activity. The L ithuanian party system now exhibits moderate fragmentation without centrifugal tendencies. Voter volatility is still relatively high, yet the share of new parties has dropped to zero. The protest and populist parties in Lithuania went into the margins of political establishment. Popularity of the Order and Justice party has long been connected to the formerly impeached president Rolandas Paksas. His long-term leadership in the face of plummeting electoral support and an emphasis on his political martyrdom resulted in poor electoral performances, ensuing internal squabbles and his departure. Party Order and Justice’s internal regulations, however, remained favourable to strong leadership.


2020 ◽  
Vol 65 (23) ◽  
pp. 2001-2006 ◽  
Author(s):  
Yuanyuan Wang ◽  
Xinhui Wu ◽  
Shuangquan Zhang ◽  
Pengwei Zhao ◽  
Jie Meng

Author(s):  
N. REN ◽  
M. ZARGHAM ◽  
S. RAHIMI

Stock selection rules are extensively utilized as the guideline to construct high performance stock portfolios. However, the predictive performance of the rules developed by some economic experts in the past has decreased dramatically for the current stock market. In this paper, C4.5 decision tree classification method was adopted to construct a model for stock prediction based on the fundamental stock data, from which a set of stock selection rules was derived. The experimental results showed that the generated rules have exceptional predictive performance. Moreover, it also demonstrated that the C4.5 decision tree classification model can work efficiently on the high noise stock data domain.


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