The flow network model is an established approach to approximate pressure-flow relationships in a bifurcating network, and has been widely used in many contexts. Existing models typically assume unidirectional flow and exploit Poiseuille's law, and thus neglect the impact of bifurcation geometry and finite-sized objects on the flow. We determine the impact of bifurcation geometry and objects by computing Stokes flows in a two-dimensional (2D) bifurcation using the Lightning-AAA Rational Stokes algorithm, a novel mesh-free algorithm for solving 2D Stokes flow problems utilizing an applied complex analysis approach based on rational approximation of the Goursat functions.
View Article and Find Full Text PDFBackground: Synonymous variant () in the Paired Immunoglobulin-like Type 2 Receptor Alpha () gene was previously associated with decreased risk for Alzheimer's disease (AD) in genome-wide association studies, but its biological impact is largely unknown.
Objective: We hypothesized that decreases mRNA and protein levels by destroying a ramp of slowly translated codons at the 5' end of .
Methods: We assessed predicted effects on through quantitative polymerase chain reactions (qPCR) and enzyme-linked immunosorbent assays (ELISA) using Chinese hamster ovary (CHO) cells.
Background: Palliative sedation refers to the proportional use of titrated medication which reduces consciousness with the aim of relieving refractory suffering related to physical and psychological symptoms and/or existential distress near the end of life. Palliative sedation is intended to be an end of life option that enables healthcare professionals to provide good patient care but there remains controversy on how it is used. Little is known about decision-making processes regarding this procedure.
View Article and Find Full Text PDFNPP Digit Psychiatry Neurosci
August 2024
The nature of data obtainable from the commercial smartphone - bolstered by a translational model emphasizing the impact of social and physical zeitgebers on circadian rhythms and mood - offers the possibility of scalable and objective vital signs for major depression. Our objective was to explore associations between passively sensed behavioral smartphone data and repeatedly measured depressive symptoms to suggest which features could eventually lead towards vital signs for depression. We collected continuous behavioral data and bi-weekly depressive symptoms (PHQ-8) from 131 psychiatric outpatients with a lifetime DSM-5 diagnosis of depression and/or anxiety over a 16-week period.
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