Results 201 to 210 of about 114,248 (287)

CSR Disclosure and Operating Performance in the Agri‐Food Manufacturing Industry: Evidence From Southern Europe

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study explores the relationship between corporate social responsibility (CSR) disclosure and operating profitability in the agri‐food manufacturing industry of Southern Europe, focusing on Extremadura (Spain). From an initial pool of 284 firms, the final sample comprised 185 companies after excluding inactive or non‐reporting cases.
Ángel Sabino Mirón Sanguino   +3 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida   +5 more
wiley   +1 more source

Characteristics, Motivators, and Enablers of Educators Who Earn Many Micro‐Credentials

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT This study explores the characteristics, motivators, and enablers of US educators, who earned more than ten micro‐credentials. Although research exists on attitudes and motivators associated with educators newly engaging with micro‐credentials, it lacks insights into learners earning many micro‐credentials.
Marilys Galindo   +1 more
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

Assessing the Macroeconomic Determinants of International Tourist Arrival in India: An ARDL Bounds Testing Approach. [PDF]

open access: yesF1000Res
Singh AK   +7 more
europepmc   +1 more source

Forecasting With Dynamic Factor Models Estimated by Partial Least Squares

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley   +1 more source

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