scholarly journals QCD predictions for new variables to study dilepton transverse momenta at hadron colliders

2011 ◽  
Vol 701 (1) ◽  
pp. 75-81 ◽  
Author(s):  
Andrea Banfi ◽  
Mrinal Dasgupta ◽  
Simone Marzani
2014 ◽  
Vol 35 (3) ◽  
pp. 144-157 ◽  
Author(s):  
Martin Bäckström ◽  
Fredrik Björklund

The difference between evaluatively loaded and evaluatively neutralized five-factor inventory items was used to create new variables, one for each factor in the five-factor model. Study 1 showed that these variables can be represented in terms of a general evaluative factor which is related to social desirability measures and indicated that the factor may equally well be represented as separate from the Big Five as superordinate to them. Study 2 revealed an evaluative factor in self-ratings and peer ratings of the Big Five, but the evaluative factor in self-reports did not correlate with such a factor in ratings by peers. In Study 3 the evaluative factor contributed above the Big Five in predicting work performance, indicating a substance component. The results are discussed in relation to measurement issues and self-serving biases.


2009 ◽  
Author(s):  
Andrea Banfi ◽  
Rosa Maria Duran Delgado ◽  
Mrinal Dasgupta
Keyword(s):  
Z Boson ◽  

1984 ◽  
Vol 52 (13) ◽  
pp. 1076-1079 ◽  
Author(s):  
Kaoru Hagiwara ◽  
Ken-ichi Hikasa ◽  
Naoyuki Kai
Keyword(s):  

2021 ◽  
Vol 964 ◽  
pp. 115328
Author(s):  
Blaž Bortolato ◽  
Jernej F. Kamenik ◽  
Nejc Košnik ◽  
Aleks Smolkovič
Keyword(s):  

Author(s):  
S. Papadopoulou ◽  
F. Antoniou ◽  
T. Argyropoulos ◽  
M. Hostettler ◽  
Y. Papaphilippou ◽  
...  

2019 ◽  
Vol 2019 (11) ◽  
Author(s):  
Yang-Ting Chien ◽  
Ding Yu Shao ◽  
Bin Wu
Keyword(s):  

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 250
Author(s):  
Przemysław Tomalski ◽  
Edmund Tomaszewski ◽  
Dariusz Wrzesiński ◽  
Leszek Sobkowiak

The study applied the method of hydrological season identification in a time series of river total and base flows and in groundwater levels. The analysis covered a series of daily measurements from the period 2008–2017 in nine catchments located in different geographical regions of Poland. The basis of the classification of hydrological seasons, previously applied for river discharges only, was the transformation of the original variables into a series reflecting three statistical features estimated for single-name days of a year from a multiyear: average value, variation coefficient, and autocorrelation coefficient. New variables were standardized and after hierarchical clustering, every day of a year had a defined type, valorizing three features which refer to quantity, variability, and the stochastic nature of total and base river flow as well as groundwater stage. Finally, sequences of days were grouped into basic (homogenous) seasons of different types and transitional seasons including mixed types of days. Analysis indicated determinants of types, length, and frequency of identified hydrological seasons especially related to river regime, hydrogeological and hydrometeorological conditions as well as physiographical background were directly influenced by geographical location. Analysis of the co-occurrence of the same types of hydrological seasons allowed, in some catchments, periods of synchronic alimentation (groundwater and base flow, mainly in the cold half-year) and water shortages (all three components, mainly in the warm half-year) to be identified.


Sign in / Sign up

Export Citation Format

Share Document