Body Mass Index has traditionally been used as a measure of health, but Fat Mass Index (FMI) and Lean Mass Index (LMI) have been shown to be more predictive of mortality and health risk. Total body FMI and LMI reference curves have particularly been useful in quantifying sarcopenia and sarcopenic obesity. Research has shown regional composition has significant associations to health outcomes. W...

‎for a given measure space $(x,{mathscr b},mu)$ we construct all measure spaces $(y,{mathscr c},lambda)$ in which $(x,{mathscr b},mu)$ is embeddable‎. ‎the construction is modeled on the ultrafilter construction of the stone--v{c}ech compactification of a completely regular topological space‎. ‎under certain conditions the construction simplifies‎. ‎examples are given when this simplification o...

We study normalization in the simply typed lambda-mu calculus, an extension of lambda calculus with control flow operators. Using an enriched version of the Yoneda embedding, we obtain a categorical normal form function for simply typed lambda-mu terms, which gives a special kind of a call-by-name denotational semantics particularly useful for deciding equalities in the lambda-mu calculus.

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We consider Horndeski modified gravity models obeying stability, velocity of gravitational waves $c_T$ equals $c$ and quasistatic approximation (QSA) on subhorizon scales. assume further a $\Lambda$CDM background expansion monotonic evolution the cosmic $\alpha$ functions as $\alpha_i= \alpha_{i0}~a^s$ where $i=M,B$, $a$ is scale factor $\alpha_{i0}$ ($\alpha_{M0}, \alpha_{B0}$), $s$ are arbitr...

Presents a new method to segment brain parenchyma and cerebrospinal fluid spaces automatically in routine axial spin echo multispectral MR images. The algorithm simultaneously incorporates information about anatomical boundaries (shape) and tissue signature (grey scale) using a priori knowledge. The head and brain are divided into four regions and seven different tissue types. Each tissue type ...

Temperature data, like many other measurements in quantitative fields, are usually modeled using a normal distribution. However, some distributions can offer better fit while avoiding underestimation of tail event probabilities. To this point, we extend Pearson's notions skewness and kurtosis to build powerful family goodness-of-fit tests based on Rao's score for the exponential power distribut...