scholarly journals CORAL and Nano-QFAR: Quantitative feature – Activity relationships (QFAR) for bioavailability of nanoparticles (ZnO, CuO, Co 3 O 4 , and TiO 2 )

2017 ◽  
Vol 139 ◽  
pp. 404-407 ◽  
Author(s):  
Alla P. Toropova ◽  
Andrey A. Toropov ◽  
Danuta Leszczynska ◽  
Jerzy Leszczynski
Keyword(s):  
Quantitative Feature

scholarly journals Defining the genre of Mexican business e-mail

2010 ◽  
Vol 10 (3) ◽  
pp. 569-594
Author(s):  
Therese Judge
Keyword(s):  
Rhetorical Analysis ◽  
Spanish Language ◽  
Quantitative Feature ◽  
Writing Research ◽  
Language Writing ◽  
Available Information ◽  
E Mail

Based on congruencies in the findings of Spanish-language writing research and U.S.-English e-mail writing research, this study investigates Mexican e-mails. The findings from the literature are formulated as issue statements for the purpose of confirming or denying their applicability to collected Mexican e-mails. The study employs both qualitative rhetorical analysis and a quantitative feature presence/absence analysis. Of the eight issues statements predicted to describe Mexican business e-mails per the literature, only one was affirmed-meaning that the currently available information about Mexican workplace e-mails is incorrect and/or incomplete.

EVALUATION OF KANSEI RETRIEVAL METHOD FOR QUANTITATIVE FEATURE EXTRACTION

2004 ◽  
Vol 05 (03) ◽  
pp. 313-327 ◽  
Author(s):  
Akihiro Miyakawa ◽  
Kaoru Sugita ◽  
Tomoyuki Ishida ◽  
Yoshitaka Shibata
Keyword(s):  
Feature Extraction ◽  
Image Coding ◽  
Design Pattern ◽  
Visual Features ◽  
Multimedia Database ◽  
Visual Feature ◽  
Retrieval Method ◽  
Quantitative Feature ◽  
Deviation Rate ◽  
Feature Values

In this paper, we propose a Kansei retrieval method based on the design pattern of traditional Japanese crafting object to provide a user with the desired presentation space in digital traditional Japanese crafting system. The visual quantitative feature values are extracted by using Visual Pattern Image Coding (VPIC). These values include the total number, the frequency, the dispersion rate and the deviation rate for different edges. The quantitative feature values for traditional Japanese crafting objects are registered in the multimedia database and the relation between Kansei words and the visual feature of traditional Japanese crafting objects are analyzed by using the questionnaire. Then, the visual features are compared with the quantitative feature values. Through the above process, we can find the relation between the design pattern components and edge types using VPIC. By finding this relation, the Kansei retrieval method can be realized.

scholarly journals Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches

2017 ◽  
Vol 39 (2) ◽  
pp. 208-216 ◽  
Author(s):  
M. Zhou ◽  
J. Scott ◽  
B. Chaudhury ◽  
L. Hall ◽  
D. Goldgof ◽  
...  
Keyword(s):  
Machine Learning ◽  
Brain Tumor ◽  
Learning Approaches ◽  
Feature Descriptors ◽  
Quantitative Feature ◽  
Image Assessment

Effect of High Fat Diet on the Volume of Liver and Quantitative Feature of Kupffer Cells in the Female Rat: A Stereological and Ultrastructural Study

2007 ◽  
Vol 17 (10) ◽  
pp. 1381-1388 ◽  
Author(s):  
Ilhami Kiki ◽  
B. Zuhal Altunkaynak ◽  
M. Eyup Altunkaynak ◽  
Ozgen Vuraler ◽  
Deniz Unal ◽  
...  
Keyword(s):  
Kupffer Cells ◽  
Ultrastructural Study ◽  
High Fat Diet ◽  
Female Rat ◽  
High Fat ◽  
Quantitative Feature
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