Results 171 to 180 of about 567,727 (294)

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

Commodity risk assessment of oak and walnut logs 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, Hasiów-Jaroszewska B, Jactel H, Landa BB, Maistrello L, Makowski D, Milonas P, Papadopoulos NT, Potting R, Susi H, van Der Gaag DJ, Battisti A, Bragard C, Mas H, Rigling D, Faccoli M, Mikulová A, Stergulc F, Mosbach-Schulz O, Streissl F, Gonthier P.   +30 more
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Development of a Mineral Binder for Wood Wool Acoustic Panels with a Reduced Carbon Footprint. [PDF]

Materials (Basel)
Korjakins A, Sahmenko G, Pundiene I, Pranckevicienė J, Lapkovskis V.   +4 more
europepmc   +1 more source

Prevent green environment and ecology with analyzing the suitability of species for wood – based panel production [PDF]

, 2005
Candan, Zeki
core  

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Adhesives from Anadenanthera peregrina tannin for plywood production: effect of sodium bisulfite concentration on gluing quality. [PDF]

Environ Sci Pollut Res Int
Medina ML, Batista FG, Furtini ACC, Santos CAD, Sartori CJ, Sousa TB, Scatolino MV, Mendes LM, Mori FA, Guimarães Junior JB.   +9 more
europepmc   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

Valorization of Recovered Mine Timber as a Secondary Feedstock for Medium-Density Fiberboard Manufacturing. [PDF]

Materials (Basel)
Dudeva V, Savov V, Antov P, Aleksandrov Y.   +3 more
europepmc   +1 more source