scholarly journals Light radioactive nuclei capture reactions with phenomenological potential models

Author(s):  
V. Guimarães ◽  
C. A. Bertulani ◽  
A. Deppman ◽  
C. Krug ◽  
G. S. Zahn ◽  
...  
1988 ◽  
Vol 66 (2) ◽  
pp. 112-125
Author(s):  
Anthony V. Dentamaro ◽  
Gary R. Goldstein

Stevenson's principle of minimal sensitivity is used in renormalizing radiative corrections to hyperfine splittings, leptonic and hadronic decay widths, and electric-dipole transition rates. Numerical values for these quantities are presented for the charmonium and bottomonium systems, enlisting several nonrelativistic phenomenological potential models to determine the best fit to the experimental data. It is shown that good results may be obtained within a single model in which the value of ΛQCD is calculated and kept constant for all predictions within that model.


2005 ◽  
Vol 20 (17) ◽  
pp. 4113-4122 ◽  
Author(s):  
L. I. ABOU-SALEM

A simple phenomenological potential model is suggested to describe the interaction between the constituent quarks of meson systems. Taking the spin-dependence terms in consideration modifies some previous potential models. The resonance masses and the leptonic decay widths of [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text] mesons are calculated using the nonrelativistic wave equation. A comparison between the present calculations and the available experimental results are given.


1985 ◽  
Vol 10 (5) ◽  
pp. 475-522 ◽  
Author(s):  
J.L. Basdevant ◽  
S. Boukraa
Keyword(s):  

Informatics ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 49
Author(s):  
Samit Chakraborty ◽  
Md. Saiful Hoque ◽  
Naimur Rahman Jeem ◽  
Manik Chandra Biswas ◽  
Deepayan Bardhan ◽  
...  

In recent years, the textile and fashion industries have witnessed an enormous amount of growth in fast fashion. On e-commerce platforms, where numerous choices are available, an efficient recommendation system is required to sort, order, and efficiently convey relevant product content or information to users. Image-based fashion recommendation systems (FRSs) have attracted a huge amount of attention from fast fashion retailers as they provide a personalized shopping experience to consumers. With the technological advancements, this branch of artificial intelligence exhibits a tremendous amount of potential in image processing, parsing, classification, and segmentation. Despite its huge potential, the number of academic articles on this topic is limited. The available studies do not provide a rigorous review of fashion recommendation systems and the corresponding filtering techniques. To the best of the authors’ knowledge, this is the first scholarly article to review the state-of-the-art fashion recommendation systems and the corresponding filtering techniques. In addition, this review also explores various potential models that could be implemented to develop fashion recommendation systems in the future. This paper will help researchers, academics, and practitioners who are interested in machine learning, computer vision, and fashion retailing to understand the characteristics of the different fashion recommendation systems.


2021 ◽  
Vol 103 (2) ◽  
Author(s):  
S. N. Ershov ◽  
S. A. Rakityansky

1993 ◽  
Vol 47 (2) ◽  
pp. 761-767 ◽  
Author(s):  
Vincent Stoks ◽  
J. J. de Swart
Keyword(s):  

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