Results 221 to 230 of about 251,140 (252)
Abstract Background The epidemiology of equine influenza (EI) in the United Kingdom has not been systematically described since the 2019 epidemic. Objectives To summarise UK EI surveillance (2020–2024), quantify outbreak seasonality and assess movement‐related sources. Study Design Retrospective observational analysis of national surveillance and horse
Fleur Whitlock +2 more
wiley +1 more source
Commodity risk assessment of <i>Cornus alba</i> and <i>Cornus sanguinea</i> plants from the UK. [PDF]
EFSA Panel on Plant Health (PLH) +33 more
europepmc +1 more source
Commodity risk assessment of Populus alba, Populus nigra and Populus tremula plants from the UK [PDF]
Berlin, Anna
openalex
Abstract Edible coatings have emerged as a significant advancement in the food industry. This review explains the different materials, methods, and applications of edible coatings, with a special focus on the integration of nanotechnology and its contribution to the circular economy.
Shankar Senthilkumar +4 more
wiley +1 more source
Abstract Alginate, a renewable polysaccharide produced by brown seaweeds and selected bacterial species, has gained significant attention due to its tunable gelation behavior, biocompatibility, and wide utility in food, biomedical, and packaging applications.
Mehvish Habib +3 more
wiley +1 more source
Commodity risk assessment of <i>Petunia</i> spp. and <i>Calibrachoa</i> spp. unrooted cuttings from Kenya. [PDF]
EFSA Panel on Plant Health (PLH) +33 more
europepmc +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
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das +2 more
wiley +1 more source
ABSTRACT Sustainability has become an important factor shaping financial markets and investor behavior. This paper examines the relationship between sustainability indices and Central European stock markets using a time–frequency approach. Wavelet coherence is employed to capture time‐varying co‐movements between sustainability indices and stock market
Zuzana Janková +4 more
wiley +1 more source

