Fibrosing Alopecia in a Pattern Distribution

2021 ◽  
pp. 96-99
Author(s):  
Alexander C. Katoulis ◽  
Efthymia Soura ◽  
Konstantina Diamanti ◽  
Evangelia Bozi
Keyword(s):  
Author(s):  
M.S. Teixeira ◽  
M.F.R. Gavazzoni‐Dias ◽  
E.A.G. Vilarv ◽  
L. Pantaleão ◽  
R.F.R. Jourdan ◽  
...  

2002 ◽  
Vol 14 (5) ◽  
pp. 1183-1194 ◽  
Author(s):  
I. Galleske ◽  
J. Castellanos

This article proposes a procedure for the automatic determination of the elements of the covariance matrix of the gaussian kernel function of probabilistic neural networks. Two matrices, a rotation matrix and a matrix of variances, can be calculated by analyzing the local environment of each training pattern. The combination of them will form the covariance matrix of each training pattern. This automation has two advantages: First, it will free the neural network designer from indicating the complete covariance matrix, and second, it will result in a network with better generalization ability than the original model. A variation of the famous two-spiral problem and real-world examples from the UCI Machine Learning Repository will show a classification rate not only better than the original probabilistic neural network but also that this model can outperform other well-known classification techniques.


Plants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 407
Author(s):  
Juan A. González ◽  
Leonardo Hinojosa ◽  
María I. Mercado ◽  
José-Luis Fernández-Turiel ◽  
Didier Bazile ◽  
...  

Quinoa may be a promising alternative solution for arid regions, and it is necessary to test yield and mineral accumulation in grains under different soil types. Field experiments with Chenopodium quinoa (cv. CICA-17) were performed in Egypt in non-saline (electrical conductivity, 1.9 dS m−1) and saline (20 dS m−1) soils. Thirty-four chemical elements were studied in these crops. Results show different yields and mineral accumulations in the grains. Potassium (K), P, Mg, Ca, Na, Mn, and Fe are the main elements occurring in the quinoa grains, but their concentrations change between both soil types. Besides, soil salinity induced changes in the mineral pattern distribution among the different grain organs. Sodium was detected in the pericarp but not in other tissues. Pericarp structure may be a shield to prevent sodium entry to the underlying tissues but not for chloride, increasing its content in saline conditions. Under saline conditions, yield decreased to near 47%, and grain sizes greater than 1.68 mm were unfavored. Quinoa may serve as a complementary crop in the marginal lands of Egypt. It has an excellent nutrition perspective due to its mineral content and has a high potential to adapt to semi-arid and arid environments.


2000 ◽  
Vol 136 (2) ◽  
Author(s):  
Martin S. Zinkernagel ◽  
Cand Med ◽  
Ralph M. Trüeb
Keyword(s):  

2012 ◽  
Vol 220-223 ◽  
pp. 1949-1952
Author(s):  
Ling Ling Kan ◽  
Hong Wei Liang ◽  
Bing Kun Gao ◽  
Xiu Fang Wang ◽  
Hong Li

Smart antenna is the critical technique of the third mobile communication, and will become the key technology in the fourth generation communication. The benefits of pattern diversity increase as the incoming pattern distribution becomes more isotropic, so that the research on correlation coefficient in antenna diversity is very critical. This research reviews the related definitions of antenna diversity as well as the related parameters, and then introduces our algorithm to develop closed form solution to calculate correlation coefficient, which provides a generalized method of determining the efficacy of an antenna diversity system. The correlation coefficient calculation is simulated with MATLAB. The simulation results show that the method is efficient and flexible, which will serve as a design tool when constructing pattern diversity systems.


2019 ◽  
Vol 26 (3) ◽  
pp. 214-215
Author(s):  
Mauricio Restrepo-Escobar ◽  
Johanna Hernández-Zapata
Keyword(s):  

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