Domestic and External Drivers of Brazilian Pork Price Volatility Under Russian Trade Policies
Agribusiness, EarlyView.ABSTRACT This study investigates how Russian trade policies and domestic factors influence the volatility of Brazilian live swine prices from 2004 to 2019. We employ a DCC‐MGARCH framework, along with volatility impulse‐response functions and the connectedness approach, to analyze time‐varying co‐movement and dynamic volatility spillovers across pork ...
Gabriel Rosero +2 more
wiley +1 more source
How AI Can Advance Mathematical Biology: Opportunities, Challenges, and Future Directions. [PDF]
Bull Math BiolRabiei K +3 more
europepmc +1 more source
Agribusiness, EarlyView.ABSTRACT Consumer demand for value‐added dairy products has grown substantially, yet consumer preferences for origin information (including farmstead) on ice cream remain underexplored. We used a stated preferences choice experiment to elicit consumers' willingness‐to‐pay (WTP) for ice cream across nine states in the Southeastern U.S.
Nama Raj Bhusal +5 more
wiley +1 more source
Applications of causal and structural equation modeling in epidemiology: a systematic and critical review. [PDF]
BMC Med Res MethodolEssetcheou SMM +6 more
europepmc +1 more source
HYPER-PARAMETER SELECTION IN BAYESIAN STRUCTURAL EQUATION MODELS
In the structural equation models, the maximum likelihood estimates of error variances can often turn out to be zero or negative. In order to overcome this problem, we take a Bayesian approach by specifying a prior distribution for variances of error ...
Hirose, Kei +7 more
core
Agribusiness, EarlyView.ABSTRACT Agricultural cooperatives in many developing countries have evolved under strong state involvement, resulting in changing institutional conditions and governance arrangements that may shape their organizational performance. Despite extensive research on cooperative governance and federated organizations, limited empirical evidence exists on ...
Abi Pratiwa Siregar +2 more
wiley +1 more source
The relationships among academic self-efficacy, educational stress, and academic motivation in nursing students: a structural equation modeling analysis. [PDF]
BMC NursTuran GB, Alanoğlu M, Karabatak S.
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
A dynamic perspective on clinical treatment evaluation using dynamic structural equation modeling. [PDF]
BMC Med Res MethodolHe S, Lee W.
europepmc +1 more source
Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning
Advanced Intelligent Discovery, EarlyView.High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade +4 more
wiley +1 more source