ELIZA

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295043 occurrences (No.82 in the rank) during 5 years in the PubMed. [cache]

385) Many uncertainty factors contribute to the dispersion of the estimated mechanical properties of trabecular bone.

--- ABSTRACT ---

PMID:23581258 DOI:10.1080/10255842.2013.785537

2015 Computer methods in biomechanics and biomedical engineering

* Stochastic multi-scale prediction on the apparent elastic moduli of trabecular bone considering uncertainties of biological apatite (BAp) crystallite orientation and image-based modelling.

- An assessment of the mechanical properties of trabecular bone is important in determining the fracture risk of human bones. Many uncertainty factors contribute to the dispersion of the estimated mechanical properties of trabecular bone. This study was undertaken in order to propose a computational scheme that will be able to predict the effective apparent elastic moduli of trabecular bone considering the uncertainties that are primarily caused by image-based modelling and trabecular stiffness orientation. The effect of image-based modelling which focused on the connectivity was also investigated. A stochastic multi-scale method using a first-order perturbation-based and asymptotic homogenisation theory was applied to formulate the stochastically apparent elastic properties of trabecular bone. The effective apparent elastic modulus was predicted with the introduction of a coefficient factor to represent the variation of bone characteristics due to inter-individual differences. The mean value of the predicted effective apparent Young's modulus in principal axis was found at approximately 460 MPa for respective 15.24% of bone volume fraction, and this is in good agreement with other experimental results. The proposed method may provide a reference for the reliable evaluation of the prediction of the apparent elastic properties of trabecular bone.

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(1)62 for	(12)10 related	(23)3 using	(34)2 during
(2)44 null	(13)8 on	(24)3 which	(35)2 from
(3)36 that	(14)7 have	(25)3 with	(36)2 including
(4)34 associated	(15)7 such	(26)2 (age,	(37)2 independently
(5)31 and	(16)6 may	(27)2 along	(38)2 involved
(6)29 in	(17)4 influence	(28)2 as	(39)2 jointly
(7)20 were	(18)4 significantly	(29)2 c-Jun	(40)2 other
(8)14 influencing	(19)4 to	(30)2 can	(41)2 produced
(9)13 are	(20)3 across	(31)2 contribute	(42)2 was
(10)13 of	(21)3 among	(32)2 contributing
(11)10 affecting	(22)3 like	(33)2 diagnostic

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--- WordNet output for factors --- Overview of noun factor The noun factor has 7 senses (first 4 from tagged texts) 1. (31) factor -- (anything that contributes causally to a result; "a number of factors determined the outcome") 2. (8) component, constituent, element, factor, ingredient -- (an abstract part of something; "jealousy was a component of his character"; "two constituents of a musical composition are melody and harmony"; "the grammatical elements of a sentence"; "a key factor in her success"; "humor: an effective ingredient of a speech") 3. (4) divisor, factor -- (one of two or more integers that can be exactly divided into another integer; "what are the 4 factors of 6?") 4. (1) agent, factor, broker -- (a businessman who buys or sells for another in exchange for a commission) 5. factor -- (any of the numbers (or symbols) that form a product when multiplied together) 6. factor -- (an independent variable in statistics) 7. gene, cistron, factor -- ((genetics) a segment of DNA that is involved in producing a polypeptide chain; it can include regions preceding and following the coding DNA as well as introns between the exons; it is considered a unit of heredity; "genes were formerly called factors") Overview of verb factor The verb factor has 3 senses (first 1 from tagged texts) 1. (2) factor, factor in, factor out -- (resolve into factors; "a quantum computer can factor the number 15") 2. factor -- (be a contributing factor; "make things factor into a company's profitability") 3. factor, factor in, factor out -- (consider as relevant when making a decision; "You must factor in the recent developments") --- WordNet end ---