Determinants of gold price movements: An empirical investigation in the presence of multiple structural breaks
Sign Up to like & getrecommendations! Published in 2020 at "Resources Policy"
DOI: 10.1016/j.resourpol.2020.101818
Abstract: Abstract This study investigates the short- and long-run determinants of gold price movements in financial markets by taking into account multiple structural breakpoints using an ARDL-based error correction approach. The study used daily time series… read more here.
Keywords: gold price; multiple structural; price movements; determinants gold ... See more keywords
Multiple structural rearrangements mediated by high-plasticity regions in Atg3 are key for efficient conjugation of Atg8 to PE during autophagy
Sign Up to like & getrecommendations! Published in 2021 at "Autophagy"
DOI: 10.1080/15548627.2021.1954457
Abstract: ABSTRACT The Atg3 protein is highly homologous from yeast to human. Atg3 functions as an E2-like enzyme promoting conjugation of Atg8-family proteins to phosphatidylethanolamine (PE), a lipid molecule embedded in the growing phagophore membrane during… read more here.
Keywords: autophagy multiple; structural rearrangements; conjugation atg8; autophagy ... See more keywords
The random-walk hypothesis revisited: new evidence on multiple structural breaks in emerging markets
Sign Up to like & getrecommendations! Published in 2017 at "Macroeconomics and Finance in Emerging Market Economies"
DOI: 10.1080/17520843.2016.1210189
Abstract: We examine whether stock prices in 18 emerging markets follow random-walk or mean-reversion processes in the presence of sudden and gradual multiple structural breaks. Our tests endogenously determined the structural shifts and are more powerful… read more here.
Keywords: structural breaks; evidence; emerging markets; random walk ... See more keywords
Machine Learning Models for Diagnosis of Parkinson’s Disease Using Multiple Structural Magnetic Resonance Imaging Features
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Aging Neuroscience"
DOI: 10.3389/fnagi.2022.808520
Abstract: Purpose This study aimed to develop machine learning models for the diagnosis of Parkinson’s disease (PD) using multiple structural magnetic resonance imaging (MRI) features and validate their performance. Methods Brain structural MRI scans of 60… read more here.
Keywords: multiple structural; machine learning; learning models; model ... See more keywords