Results 211 to 220 of about 1,086,925 (328)

Does ESG Matter for Unlisted Companies in the Agri‐Food Industry? Evidence From Japan's Unlisted Agri‐Food Companies

Agribusiness, EarlyView.
ABSTRACT While ESG (environmental, social, and governance) is emphasized among listed companies for their stakeholders and ESG disclosures, ESG engagement among unlisted companies has been rarely examined due to data limitations. This is particularly problematic for the agri‐food industry that has significant impacts on the environment and consists ...
Ying Wang, Satoru Shimokawa
wiley   +1 more source

Regional Differences in U.S. Consumer Preferences for Native Woody Shrubs With Varying Aesthetic Characteristics

Agribusiness, EarlyView.
ABSTRACT Native plants offer a variety of aesthetic (e.g., fall colour, fruit, flowers) and functional benefits (e.g., pollinator friendly, wildlife friendly, water management). How these benefits influence consumer choice and perceived value of native versus introduced plants is not well understood.
Alicia Rihn, Ariana P. Torres, Sue Barton, Bridget K. Behe   +3 more
wiley   +1 more source

Transparent Wood for Passive Radiative Cooling of Solar Absorbers. [PDF]

Nano Lett
Ram F, Höglund M, Liao M, Hallberg T, Jonsson MP, Berglund LA, Shanker R.   +6 more
europepmc   +1 more source

Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives

Agribusiness, EarlyView.
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza, Ibtissem Taghouti, José María Gil Roig   +2 more
wiley   +1 more source

Manufacturing and characterization of innovative lightweight wooden furniture from polystyrene core wood sandwich panels. [PDF]

Sci Rep
Kelleci O, Köksal SE, Sözen E, Kayahan K, Aydemir D.   +4 more
europepmc   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

Advanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar, Tiago L. P. Galvão, José D. Gouveia, José R. B. Gomes   +3 more
wiley   +1 more source

Wood-Based Oriented Object Deposition for Programmable Mechanical and 3D Fluidic Control. [PDF]

ACS Appl Mater Interfaces
Kim Y, Kang D, Shin S.
europepmc   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

Extended influenza seasons in Australia and New Zealand in 2025 due to the emergence of influenza A(H3N2) subclade K viruses. [PDF]

Euro Surveill
Dapat C, Peck H, Jelley L, Diefenbach-Elstob T, Slater T, Hussain S, Britton P, Cheng AC, Wood T, Howard-Jones A, Deng YM, Miller JE, Huang QS, Barr IG.   +13 more
europepmc   +1 more source