Investment attractiveness rating of the prosthetic and orthopedic companies by results of 2016

Author(s):  
Svetlana Romanova ◽  
Author(s):  
S.V. Khmura ◽  
◽  
V.A. Yakimova ◽  

The article presents the results of the rating assessment of the investment attractiveness of the territories of advanced development created in the Far Eastern Federal District. In the course of the analysis, the key factors that form investment attractiveness and investment risks have been identified.


2017 ◽  
Vol 2017 ◽  
pp. 1-7
Author(s):  
Amjad Al Taki ◽  
Thar Hayder Mohammed ◽  
Ahmad Mohammad Hamdan

Objectives. The study assessed the impact of facial height on attractiveness of smile, in association with the maxillary gingival display. This research was performed by dental professionals and laypersons.Materials and Methods. Frontal extraoral photographs were captured for both short and long faces. The photographs were modified using software for image-processing and three rater groups (orthodontists, dentists, and laypersons) evaluated the smile attractiveness, with 30 subjects in each group. Differences in ratings of the different smiles among the different experimental groups were examined using the Kruskal-Wallis test. The Mann–WhitneyUtest was performed for pairwise comparisons between the experimental groups.Results. Dentists and laypeople were most likely to agree. For the short face, laypeople and dentists both rated the +2 mm gingival display smile as the most attractive smile whilst orthodontists ranked the 0 mm gingival display smile as the most attractive smile. For the long face, laypeople and dentists ranked the 0 mm gingival display smile as the most attractive smile, whilst orthodontists ranked the +2 mm gingival display as the most attractive.Conclusion. Smile line of both short and long face subjects was found to influence the smile attractiveness rating by the three rater groups.


2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Adrien Wilson-Thompson

The ratio Phi, equal to approximately 1.618, is an observable phenomenon that Greek mathematician Euclid defined this relationship as a line in two parts, in which the ratio of the longer part to the shorter part is equal to the ratio of the total length over the longer part. The ancient Greeks thought of Phi as a mathematical representation of physical beauty. Although many studies have shown a correlation between Phi and perceived attractiveness, other studies have displayed no/very weak, correlation. The question, “Does the expression of Phi play a significant role in the attractiveness of a face?” was investigated. It was hypothesized that if the features of a face closely fit the proportions of Phi, then survey respondents will give that face a higher attractiveness rating than a face whose features do not. Landmark localization data was calculated for images of 14 different faces. Individual and average facial ratios were calculated for each photograph, and a survey was conducted in which 100 participants were asked to rate the attractiveness of each face on a scale of 1-10. The average attractiveness rating of each face was then compared to the variance/distance of its average facial ratio away from the numerical value of Phi. Based on the analysis of the data, faces with features whose proportions closely fit the ratio of Phi are perceived as more attractive than faces with features that do not. Faces with average facial ratios closer to Phi received higher average attractiveness ratings.


2006 ◽  
Vol 18 (1) ◽  
pp. 119-142 ◽  
Author(s):  
Yael Eisenthal ◽  
Gideon Dror ◽  
Eytan Ruppin

This work presents a novel study of the notion of facial attractiveness in a machine learning context. To this end, we collected human beauty ratings for data sets of facial images and used various techniques for learning the attractiveness of a face. The trained predictor achieves a significant correlation of 0.65 with the average human ratings. The results clearly show that facial beauty is a universal concept that a machine can learn. Analysis of the accuracy of the beauty prediction machine as a function of the size of the training data indicates that a machine producing human-like attractiveness rating could be obtained given a moderately larger data set.


2019 ◽  
Vol 86 ◽  
Author(s):  
Carlos Eduardo da Silva Oliveira ◽  
Celi Santana Silva ◽  
Tiago Zoz ◽  
Andre Zoz ◽  
Agner de Freitas Andrade ◽  
...  

ABSTRACT The resistance of plants to pests is a feature of great importance for agriculture, as it reduces costs with insecticides and promotes increased yield resulting in higher profits. This work aimed to evaluate the feeding preference of the Spodoptera frugiperda caterpillar by different sorghum genotypes. The experiment was carried out at the Entomology Laboratory of Universidade Estadual de Mato Grosso do Sul, at University Unit of Cassilândia, from March to June 2016. The experimental design was completely randomized with ten replicates. The treatments were composed by seven sorghum genotypes: Agromen 50A40, Agromen 50A50, DOW 1G100, DOW 1G220, DOW 1G233, XB 6022 and LG 6310. Evaluations were performed with 1st instar caterpillars. The number of caterpillars that settled in the genotypes at 5, 10, 15, 20, 25, 30, 60 minutes and 24 hours after the infestation was recorded. The feeding preference index and the fresh leaf mass consumed were estimated. The Agromen 50A40 genotype showed lower attractiveness rating for the S. frugiperda among all evaluated sorghum genotypes.


2010 ◽  
Author(s):  
John Ehrich ◽  
Alan Keen ◽  
Billy Johnson ◽  
Jocelyn Markowicz

2014 ◽  
Author(s):  
Kelly M. Babchishin ◽  
Kevin L. Nunes ◽  
Nicolas Kessous

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuichi Sakano ◽  
Atsushi Wada ◽  
Hanako Ikeda ◽  
Yuriko Saheki ◽  
Keiko Tagai ◽  
...  

AbstractFacial attraction has a great influence on our daily social interactions. Previous studies have mainly focused on the attraction from facial shape and expression. We recently found that faces with radiant skin appear to be more attractive than those with oily-shiny or matte skin. In the present study, we conducted functional magnetic resonance imaging (fMRI) and psychological experiments to determine the human brain activity that reflects facial attractiveness modulated by these skin reflection types. In the fMRI experiment, female subjects were shown successive images of unfamiliar female faces with matte, oily-shiny, or radiant skin. The subjects compared each face with the immediately preceding face in terms of attractiveness, age, and skin reflection, all based on the skin. The medial part of the orbitofrontal cortex (mOFC) was significantly more active when comparing attractiveness than when comparing skin reflection, suggesting that the mOFC is involved in processing facial attractiveness from skin reflection. In the psychological experiment, attractiveness rating was highest for radiant skin, followed by oily-shiny, and then matte skin. Comparison of the results of these experiments showed that mOFC activation level increased with attractiveness rating. These results suggest that the activation level of the mOFC reflects facial attractiveness from skin reflection.


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