Score tests for scale effects, with application to genomic analysis

2021 ◽  
Author(s):  
David Soave ◽  
Jerald F. Lawless ◽  
Philip Awadalla
Keyword(s):  
Scale Effects ◽  
Genomic Analysis ◽  
Score Tests

Genomic analysis of C-type lectins

2002 ◽  
Vol 69 ◽  
pp. 59-72 ◽  
Author(s):  
Kurt Drickamer ◽  
Andrew J. Fadden
Keyword(s):  
Biological Effects ◽  
Cell Signalling ◽  
Genomic Analysis ◽  
Binding Activity ◽  
Immunoglobulin Superfamily ◽  
Carbohydrate Binding ◽  
Carbohydrate Recognition ◽  
Calcium Dependent ◽  
Binding Domains ◽  
Carbohydrate Recognition Domains

Many biological effects of complex carbohydrates are mediated by lectins that contain discrete carbohydrate-recognition domains. At least seven structurally distinct families of carbohydrate-recognition domains are found in lectins that are involved in intracellular trafficking, cell adhesion, cell–cell signalling, glycoprotein turnover and innate immunity. Genome-wide analysis of potential carbohydrate-binding domains is now possible. Two classes of intracellular lectins involved in glycoprotein trafficking are present in yeast, model invertebrates and vertebrates, and two other classes are present in vertebrates only. At the cell surface, calcium-dependent (C-type) lectins and galectins are found in model invertebrates and vertebrates, but not in yeast; immunoglobulin superfamily (I-type) lectins are only found in vertebrates. The evolutionary appearance of different classes of sugar-binding protein modules parallels a development towards more complex oligosaccharides that provide increased opportunities for specific recognition phenomena. An overall picture of the lectins present in humans can now be proposed. Based on our knowledge of the structures of several of the C-type carbohydrate-recognition domains, it is possible to suggest ligand-binding activity that may be associated with novel C-type lectin-like domains identified in a systematic screen of the human genome. Further analysis of the sequences of proteins containing these domains can be used as a basis for proposing potential biological functions.

Genomic analysis validates Ayurveda

Nature India ◽  
2015 ◽  
Keyword(s):  
Genomic Analysis

Length scale effects on the macroscopic behaviour of single and polycrystalline FCC crystals

2001 ◽  
Vol 11 (PR5) ◽  
pp. Pr5-161-Pr5-170 ◽  
Author(s):  
E. P. Busso ◽  
K. S. Cheong
Keyword(s):  
Scale Effects ◽  
Length Scale

Late onset autosomal dominant hypophosphatemic rickets; confirmation of the diagnosis with genomic analysis

2013 ◽  
Author(s):  
Symeon Tournis ◽  
Ioannis Stathopoulos ◽  
Kalliopi Lampropoulou-Adamidou ◽  
Theodora Koromila ◽  
Nikolaos Chatzistamatas ◽  
...  
Keyword(s):  
Autosomal Dominant ◽  
Late Onset ◽  
Genomic Analysis ◽  
Hypophosphatemic Rickets ◽  
Autosomal Dominant Hypophosphatemic Rickets

Scale Effects in Laboratory and Pilot-Plant Reactors for Trickle-Flow Processes

1991 ◽  
Vol 46 (4) ◽  
pp. 501-515 ◽  
Author(s):  
S. T. Sie
Keyword(s):  
Pilot Plant ◽  
Scale Effects ◽  
Flow Processes

Determination of the metal toughness components in impact-bending test

2018 ◽  
Vol 84 (12) ◽  
pp. 68-72
Author(s):  
A. B. Maksimov ◽  
I. P. Shevchenko ◽  
I. S. Erokhina
Keyword(s):  
Crack Growth ◽  
Specific Energy ◽  
Crack Formation ◽  
Crack Nucleation ◽  
Scale Effects ◽  
Linear Equations ◽  
Bending Test ◽  
Cross Sectional ◽  
Two Samples ◽  
Sample Width

A method for separating the work of impact into two parts - the work of the crack nucleation and that of crack growth - which consists in testing two samples with the same stress concentrators and different cross-sectional dimensions at the notch site is developed. It is assumed that the work of crack nucleation is proportional to the width of the sample face on which the crack originates and the specific energy of crack formation, whereas the work of the crack growth is proportional to the length of crack development and the specific crack growth energy. In case of the sample fracture upon testing, the crack growth length is assumed equal to the sample width. Data on the work of fracture of two samples and their geometrical dimensions at the site of the notch are used to form a system of two linear equations in two unknowns, i.e., the specific energy of crack formation and specific energy of crack growth. The determined specific energy values are then used to calculate the work of crack nucleation and work of crack growth. The use of the analytical method improves the accuracy compared to graphical - extrapolative procedures. The novelty of the method consists in using one and the same form of the notch in test samples, thus providing the same conditions of the stress-strain state for crack nucleation and growth. Moreover, specimens with different cross-section dimensions are used to eliminate the scale effects. Since the specific energy of the crack nu-cleation and specific energy of the crack growth are independent of the scale factor, they are determined only by the properties of the metal. Introduction the specific energy of crack formation and growth makes possible to assign a specific physical meaning to the fracture energy.

Elementary representative volume in the physics of a reservoir. Part 2. Scale effects and petrophysical relations

2018 ◽  
pp. 65-72
Author(s):  
I.P. Gurbatova ◽  
◽  
B.N. Enikeev ◽  
N.N. Mikhailov ◽  
◽  
...  
Keyword(s):  
Scale Effects ◽  
Representative Volume ◽  
Elementary Representative Volume
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