For the first time, this study investigates the impact of uncertainty (Monetary Policy), risks (Climate and Geopolitical), research and development, and Innovation on economic growth.Using a dataset covering a global perspective from 1985 to 2022, this study employs dynamic time series data techniques to analyze these relationships empirically.This
IntroductionMulti-sequence multi-parameter MRIs are often used to define targets and/or organs at risk (OAR) in radiation therapy (RT) planning.Deep learning has so far focused on developing auto-segmentation models based on a single MRI sequence.The purpose of this work is to develop a multi-sequence deep learning based auto-segmentation (mS-DLAS)
The aim of this study was to clarify the heights and spatial relationships of the facial muscles acting on the nasolabial fold (NLF) by dissection and three-dimensional microcomputed tomography for use in aesthetic treatments.This study used 56 specimens from 34 embalmed adult Korean.A reference line (RF) was set to imitate the NLF after removing t
The purpose of the present study was to predict ambivalent sexism (including hostile sexism and benevolent sexism) with religious orientation types as intrinsic religiosity, extrinsic religiosity and quest religiosity.In addition, the effect of demographic variables (including age, gender, education) on sexist attitudes was tested.583 skirt (N_fema