A NUMERICAL INVESTIGATION OF SLOSHING IN A 3D PRISMATIC TANK WITH VARIOUS BAFFLE TYPES, FILLING RATES, INPUT AMPLITUDES AND LIQUID MATERIALS

A Numerical Investigation of Sloshing in a 3D Prismatic Tank with Various Baffle Types, Filling Rates, Input Amplitudes and Liquid Materials

Partially filled liquid-carrying tanks have been used in many engineering applications, such as ships, vehicle Project Kits fuel tanks, rockets, and drink or petroleum tankers.Liquid sloshing is an exciting phenomenon that researchers are investigating because of its complex behavior specifications.In this study, the sloshing responses of a prismat

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Deep Learning for Prediction of Progression and Recurrence in Nonfunctioning Pituitary Macroadenomas: Combination of Clinical and MRI Features

ObjectivesA subset of non-functioning pituitary macroadenomas (NFMAs) may exhibit early progression/recurrence (P/R) after tumor resection.The purpose of this study was to apply deep learning (DL) algorithms for prediction of P/R in NFMAs.MethodsFrom June 2009 to December 2019, 78 patients diagnosed with pathologically confirmed NFMAs, and who had

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Convergence of endothelial dysfunction, inflammation and glucocorticoid resistance in depression-related cardiovascular diseases

Abstract Major Depressive Disorder, or depression, has been extensively linked to dysregulated HPA axis function, chronic inflammation and cardiovascular diseases.While the former two have been studied in depth, the mechanistic connection between depression and cardiovascular disease is unclear.As major mediators of vascular homeostasis, vascular p

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