Results 181 to 190 of about 1,975,916 (283)
Abstract This article explores how Afro‐Brazilian communities in Pernambuco respond to state‐led industrial development through culturally rooted practices of resistance and repair. Drawing on archival and ethnographic research in the coastal municipalities of Cabo de Santo Agostinho and Ipojuca, this study traces the effects of Brazil's large‐scale ...
Shelly Annette Biesel
wiley +1 more source
Exploring the Role of Environmental Factors on Chromosomal Translocations Associated With Childhood Leukaemia. [PDF]
Saville JR +3 more
europepmc +1 more source
Abstract This ethnographic study explores the emotional labor and self‐care strategies of feminist abortion acompañantes in Northern Mexico. Operating within restrictive legal environments, acompañantes provide crucial support for self‐managed medication abortions (SMAs), engaging in significant, often invisible, emotional labor.
Bruna Alvarez, Suzanne Veldhuis
wiley +1 more source
Ophthalmic artery stenosis presenting as amaurosis fugax. [PDF]
Smith BC, Simon SS, Russell EJ.
europepmc +1 more source
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
wiley +1 more source
Canada1Water: Hydraulic parametrized integrated soil, bedrock and peatlands datasets. [PDF]
Kessel ED +4 more
europepmc +1 more source
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer +3 more
wiley +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
A Benchtop Evaluation of Cervical Collar Design and Strap Tension. [PDF]
Russell LJ +3 more
europepmc +1 more source

