Results 191 to 200 of about 608,462 (300)

Perovskite lasers: From optical pumping to electrical pumping

open access: yesFlexMat, EarlyView.
This review highlights recent progress in perovskite lasers, emphasizing material engineering, cavity design, and lasing mechanisms in halide perovskites. It also discusses advances in continuous‐wave operation and evaluates the prospects for electrically pumped devices, while identifying key challenges that must be addressed to fully realize the ...
Kang Wang   +10 more
wiley   +1 more source

Understanding the acceptance of medical marijuana among Malaysian adults: a cross-sectional online survey. [PDF]

open access: yesBMJ Open
Rahman AB   +10 more
europepmc   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

open access: yesJournal of Forecasting, EarlyView.
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

Cultural imperative, surgical challenge: salvaging a buried penis in a 9-year-old post circumcision skin loss. [PDF]

open access: yesJ Surg Case Rep
Tan ZS   +6 more
europepmc   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

open access: yesJournal of Forecasting, EarlyView.
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

Random Integrated Subdata Ensemble Method for Key Variable Selection in Rare Event Setting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We propose a general variable selection procedure to identify key input variables by applying elastic net regression to representative subdata in place of the full sample to select variables. We combine the lists of selected variables from each subdata through ensemble techniques, using the frequency of selecting the variable across different ...
Ching‐Chi Yang   +3 more
wiley   +1 more source

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