Results 151 to 160 of about 913,093 (244)

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +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

Evaluation of poplar wood chips after 19 years of burial as swamp roadway fill

, 1997
Wood chip fill material from a highway shoulder-widening in northern Minnesota was evaluated by a variety of physical tests after 19 years of burial. Chips discolored when excavated (typical tannate oxidation reaction) and remained gray on air-drying ...
Schmidt, E., Schrader, C., Cochran, G., Lukanen, E.   +3 more
core   +1 more source

MicroRNA‐941 Acts as a Novel Prognostic Predictor and Oncogenic Driver in Colorectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
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, Yang Liu, Hua Chen, Jialin Li, Xinchun Li, Yanmin Chen   +5 more
wiley   +1 more source

Effects of Apple, Oak, and Mesquite Wood Chips on the Physicochemical Properties, Volatile Organic Compounds, and Sensory Characteristics of Brined Smoked Goat Meat. [PDF]

Foods
Park J, Jeong D, Jung Y, Oh S, Kim D, Jang A.   +5 more
europepmc   +1 more source

Barbed Sutures Are Associated With a Lower Incidence of Incisional Hernia Compared With Continuous Non‐Barbed Monofilament Sutures After Minimally Invasive Gastroenterological Surgery

Annals of Gastroenterological Surgery, EarlyView.
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, Takashi Takashima, Tatsuhi Ushikubo, Kana Ishikawa, Takashi Kumode, Takahisa Suzuki, Teppei Murakami, Shinichi Hosokawa, Sanae Nakajima   +8 more
wiley   +1 more source

The Effect of Gypsum on the Self-Hardening of Sapropel in Thermal Insulating Wood Chips Composite. [PDF]

Materials (Basel)
Šeputytė-Jucikė J, Vėjelis S, Vaitkus S, Kairytė A, Kremensas A, Balčiūnas G.   +5 more
europepmc   +1 more source

Lumped modeling of bubbling fluidized beds for high‐temperature processes

AIChE Journal, EarlyView.
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, Elyas Moghaddam, Wiebren de Jong, Johan T. Padding   +3 more
wiley   +1 more source

Commodity risk assessment of debarked conifer wood chips fumigated with sulfuryl fluoride from the US. [PDF]

EFSA J
EFSA Panel on Plant Health (PLH), Vicent Civera A, Baptista P, Berlin A, Chatzivassiliou E, Cubero J, Cunniffe N, de la Peña E, Desneux N, Di Serio F, Filipiak A, Hasiow-Jaroszewska B, Jactel H, Landa B, Maistrello L, Makowski D, Milonas P, Papadopoulos NT, Potting R, Susi H, Van Der Gaag DJ, Battisti A, Bragard C, Magnusson C, Mas H, Rigling D, Faccoli M, Mikulová A, Stergulc F, Christoph E, Mosbach-Schulz O, Streissl F, Gonthier P.   +32 more
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, Christian Mark Pelicano   +1 more
wiley   +1 more source