Results 81 to 90 of about 115,259 (238)
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan +2 more
wiley +1 more source
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
Non‐negative Gaussian estimation of variance components in random effects models
Abstract When used to estimate variance components (VCs), confidence intervals (CIs) can be truncated at zero, have a point estimate not in the quoted CI, be empty with positive probability, or be all‐inclusive. This is because they have conflicting dual roles, since they are considered to cover the parameter with a specified probability while also ...
André Plante, Michael Plante
wiley +1 more source
ABSTRACT Large companies have a long track record of environmental, social, and governance (ESG) initiatives, whereas many small and medium‐sized enterprises (SMEs) lag in adopting sustainability‐related practices, often acting voluntarily or in response to stakeholder pressures and incentives.
Vivien Csapi +4 more
wiley +1 more source
ABSTRACT This study examines the intricate and asymmetric relationship between corporate greenhouse gas emission disclosure and stock returns and crash risks, focusing on listed firms in six Commonwealth African countries characterized by regulatory fragility, limited investor protection, and growing climate vulnerability.
Idorenyin J. Okon +2 more
wiley +1 more source
CEO Overconfidence, Industry Competition, and ESG Performance
ABSTRACT This study examines the interplay among CEO overconfidence, industry competition, and firms' ESG (Environmental, Social, and Governance) performance. With the growing importance of ESG management, firms are investing more in ESG initiatives as a strategic approach to mitigating downside risk. However, overconfident CEOs, characterized by their
Taehyung Kim, Jaeseog Na
wiley +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Projected warming and drying raise concerns about the resilience of stress‐adapted ecosystems, including the Brazilian Campo Rupestre, an exceptionally biodiverse mountaintop grassland mosaic on ancient, nutrient‐poor substrates. Here, we combine field‐based trait data and long‐term remote sensing to assess the functional structure and temporal ...
Renata Maia +5 more
wiley +1 more source
Age‐related trends in niche position and specialization in Neotropical vertebrates
Species' niche positions and breadths within a region's environmental space, measured through ecological niche factor analysis (ENFA) as marginality and specialization, can reflect evolutionary constraints related to lineage age. The ‘internal incumbency' hypothesis predicts that older species, due to competitive preemption, occupy more central niche ...
Carlos Calderón del Cid +3 more
wiley +1 more source

