Local and non-local normalised equivalent strain functionals for cyclic fatigue [PDF]
The concept of Cyclic Normalised Equivalent Strain Functionals (CNESnFs) suitable for lowcyclic fatigue is developed in this paper. It reduces any fatigue strength and durability model to a unique form what facilitates the models comparison ...
Mikhailov, SE, Namestnikova, IV
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Finitely Additive Equivalent Martingale Measures [PDF]
Let L be a linear space of real bounded random variables on the probability space (omega,A, P0). There is a finitely additive probability P on A, such that P tilde P0 and EP (X) = 0 for all X in L, if and only if cEQ(X) = ess sup(-X), X in L, for some ...
Pietro Rigo +2 more
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Association between body fat indices and female infertility: A cross-sectional study. [PDF]
Huang L, Yang WJ, Kuang GR, Li XY.
europepmc +1 more source
Association of Conicity Index and Body Roundness Index with Multimorbidity Among Adults in Guangzhou, China: A Cross-Sectional Study and Implications for Nutritional Risk Stratification. [PDF]
Chen J +9 more
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Weighting with individuals, equivalent individuals or not weighting at all. Does it matter empirically ?. [PDF]
To take into account heterogeneity in a social welfare function, Ebert (1997) and Shorrocks (1995) show that the only consistent way of welfare measurement consists of either constructing an artificial distribution in which each household is weighted by ...
Decoster, André, Ooghe, Erwin
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Associations between five anthropometric indices and fecal incontinence: A cross-sectional study based on the 2005 to 2010 NHANES data. [PDF]
Ye Z +7 more
europepmc +1 more source
Dietary inflammatory index in patients with chronic kidney disease under conservative treatment at a university hospital in Rio de Janeiro, Brazil. [PDF]
Ladeira KC +3 more
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Association of conicity index with cognitive function: Evidence from a cross-sectional NHANES 2011-2014 study and Mendelian randomization analysis. [PDF]
Chen Y +5 more
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Association between conicity index and female infertility: Insights from NHANES. [PDF]
Tan DM +4 more
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Machine learning-based early kidney stone risk classification in diabetic-hypertensive patients using obesity composite indices. [PDF]
Long Z, Tian X, Hou K, Liu Y, Li H.
europepmc +1 more source

