This paper presents the extension of the open source SU2 software suite to perform turbulent Non-Ideal Compressible Fluid-Dynamics (NICFD) simulations. A new built-in thermodynamic library has been developed and tightly coupled with the existing structure of the code, properly re-organized for accommodating arbitrary thermophysical models. The library implements simple models and interfaces to an external software for a more accurate estimation of thermophysical properties of NICFD pure fluids and mixtures. Moreover, the Reynolds-averaged Navier-Stokes (RANS) equations are spatially discretized by resorting to suitably defined convective and viscous numerical schemes for general fluids. The capabilities of the code are finally verified on two-and three-dimensional inviscid and turbulent flow problems against solutions obtained with different NICFD solvers, and known analytical ones. The results prove that SU2 is comparatively accurate and computational efficient with respect to existing codes. Definitively, SU2 can be considered as a trustworthy tool for NICFD-based simulations and the future pillar of advanced automated design techniques involving complex fluid laws.
Operationalizing MCI criteria changes the relative frequency of MCI subtypes. Nonamnestic single domain MCI may be a previously nonrecognized type of MCI associated with SVD.
The Hamilton Rating Scale for Depression (HAM-D) and DSM-III-R criteria were simultaneously employed to assess the prevalence of depression in 26 outpatients with dementia of the Alzheimer type and 26 age-matched normal control subjects. Both assessment methods evidenced a higher frequency of depression during the severe stages of Alzheimer''s disease. Among the Alzheimer patients, the prevalence rate of depression produced by the HAM-D (38%) was higher than the rate produced by DSM-III-R criteria (23%). Such a difference was due to the weight given by the HAM-D to the vegetative symptoms reported by the Alzheimer patients with more severe dementia. In a subgroup of 14 Alzheimer patients who underwent computed tomography, the volumetric measurement of CSF spaces did not reveal any difference between the depressed and nondepressed patients. On the basis of these results, the clinical problems related to the assessment of depression in Alzheimer''s disease are discussed.
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