Prediction of the disease burden of nasopharyngeal carcinoma in China: A comparative analysis of ARIMA, LSTM, and DNN models. [PDF]
Chen Y, Zhang K, Luo J.
europepmc +1 more source
ABSTRACT The paper examines the macroeconomic effects of public investment in emerging market and developing economies (EMDEs). To this end the analysis develops a new measure of public investment shocks based on cyclically adjusted government investment.
Amat Adarov +2 more
wiley +1 more source
Flexible Target Prediction for Quantitative Trading in the American Stock Market: A Hybrid Framework Integrating Ensemble Models, Fusion Models and Transfer Learning. [PDF]
Yan K +6 more
europepmc +1 more source
ABSTRACT Genomic selection (GS) is critical for accelerating genetic gain in modern plant breeding. Deep learning approaches offer powerful non‐linear representation capabilities for modelling non‐additive effects. However, their application in GS remains restricted, as high‐dimensional, low‐sample and noisy data hinder the identification of ...
Yuexin Ma +7 more
wiley +1 more source
The impact of China's clean energy market on the market connectivity of rare earth industrial chain. [PDF]
Li J, Zhao Y, Dou S, Zhu Y, Xu D.
europepmc +1 more source
Unconventional Fiscal Policies in Response to Inflation: The Iberian Exception in Portugal
ABSTRACT The surge in Eurozone inflation in 2022 compelled European governments to implement unconventional fiscal policies. One initiative, the Iberian Exception, imposed a cap on the cost of natural gas used for electricity generation in Portugal and Spain.
Lourenço Cerdeira +2 more
wiley +1 more source
Multifidelity digital twin for real-time monitoring of structural dynamics in aquaculture net cages. [PDF]
Katsidoniotaki E +3 more
europepmc +1 more source
Analysis of Models to Estimate Morbidity Rates of Respiratory Diseases Through Deep Learning
ABSTRACT Respiratory diseases remain a challenge in Brazil due to socioeconomic inequalities and environmental risks that intensify population vulnerability. This study compared XGBoost with a deep learning model using stacked Gated Recurrent Units (GRU), trained with morbidity data from respiratory diseases and exogenous variables such as per capita ...
Liliane Moreira Nery +6 more
wiley +1 more source
Model-free prognostication of non-linear time series. [PDF]
Wu X, Rai SN, Weber GF.
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ABSTRACT Introduction This study explored transmission patterns of brucellosis in Hubei Province, a Class II region in China, through analysis of spatiotemporal distribution and environmental factors to provide evidence for precise prevention. Methods We analysed epidemiological data from Hubei Province (2010–2023), including human cases, demographics,
Qi Chen +7 more
wiley +1 more source

