Sentence examples for function natural from inspiring English sources

We observe here that Myhill's constructive set theory had distinguished notions of function, natural number and set; it thus closely represented a constructive tradition in which functions and natural numbers are conceptually independent from sets.

Finally by considering frequency response function, natural frequency of the plate is extracted in different height of the fluid and effects of some parameters on the natural frequencies such as fluid height and dimensions of the plate are studied.

From the answers about topics and arguments seen in the museum, from 56 key words selected, 62% were connected with evolution (variability, diversity, relation between shape and function, natural selection, etc)., 34% with the laboratorial activities and 4% with other topics.

On the other hand, neutral theory states that if a gene mutates or changes into another gene meant to perform the same function, natural selection cannot favor either one, and therefore they both will survive.

For sperm PAH-DNA adducts and urinary 1-OHP levels were non-normally distributed (checked by skewness-kurtosis tests), these two variables were transformed to achieve normal distributions using the lnskew0 function (natural log transformed).

Menopause is defined as termination of menstrual cycles due to the failure of ovarian function (natural menopause M).

with g 1: link-function: natural logarithm.

with g 1: link-function: natural logarithm g 2 ω i = β 02 + f 12 DW T i (9b).

with g : link-function: natural logarithm, and GD i  ~ Poisson (λ i ) with E(GD i ) = λ i and Var (GD i ) = λ i ; GD i  = 0, 1, 2,….

with g: link-function: natural logarithm and y i | x i ~ Poisson λ i and E y i | x i = λ i and Var y i | x i = λ i ; y i = 0, 1, 2, …. f 1, f 2, f 3,…, f k : 1-dimensional smooth functions.

or λ i = exp η i = exp x i β = exp β 0 ⋅ exp β 1 x i 1 ⋅ … ⋅ exp β k x ik. with g: link-function: natural logarithm and y i | x i ~ Poisson λ i with E y i | x i = λ i and Var y i | x i = λ i ; y i = 0, 1, 2, …. the probability density function of the Poisson distribution is given by: f y ; λ = λ y e − λ y ! y = 0, 1, 2, ….