Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives
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 +2 more
wiley +1 more source
Regional wood chip quality parameters decomposition and price linkage with impact on Polish energy sustainability: Time frequency analysis between 2013 and 2019. [PDF]
Čermák M +4 more
europepmc +1 more source
MicroRNA‐941 Acts as a Novel Prognostic Predictor and Oncogenic Driver in Colorectal Cancer
Upregulation of miR‐941 was a promising diagnostic and prognostic biomarker for CRC patients. Inhibition of miR‐941 significantly suppressed CRC cellular events and triggered ferroptosis. The oncogenic functions of miR‐941 were mediated through targeting TRPS1.
Hong Li +5 more
wiley +1 more source
Simultaneous Moisture Content and Mass Flow Measurements in Wood Chip Flows Using Coupled Dielectric and Impact Sensors. [PDF]
Pan P +5 more
europepmc +1 more source
Incisional hernia remains a common complication after minimally invasive gastroenterological surgery despite small extraction incisions. In this propensity score‐weighted analysis, barbed sutures significantly reduced the incidence of incisional hernia compared with conventional slowly absorbable monofilament sutures without increasing postoperative ...
Shusaku Honma +8 more
wiley +1 more source
Testing the Use of Static Chamber Boxes to Monitor Greenhouse Gas Emissions from Wood Chip Storage Heaps. [PDF]
Whittaker C +5 more
europepmc +1 more source
Lumped modeling of bubbling fluidized beds for high‐temperature processes
Abstract Bubbling fluidized beds (BFBs) have been a source of study for multiple decades. Among other applications, they can be used as scalable reactors for the conversion of biomass and waste resources to fuels. Several experimental and computational studies have been devoted to correlating the interplay of hydrodynamics and heat and mass transfer in
Ravi Ramesh +3 more
wiley +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
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
Wood Chip Sound Absorbers: Measurements and Models
Maedeh Lashgari +5 more
openaire +1 more source

