Results 181 to 190 of about 569,966 (292)

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

Moisture transport in wood and wood-based panels

, 1988
Rapporten presenterar en matematisk modell för fuktdiffusion i barrved, baserad på tidigare arbeten om olika diffusionsprocesser i kombination med kunskap om den mikroskopiska cellstrukturen hos barrved. Rapporten är på engelska med svensk sammanfattning och utgiven i samarbete med KTHs institution för byggmateriallära.
openaire   +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

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

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
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

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

Evaluation of structural and thermal performance of polystyrene integrated cross laminated timber panels. [PDF]

Sci Rep
Lakot Alemdağ E, İlhan O, Akkan Çavdar A, Birinci AU, Öztürk H, Demir A, Demirkır C, Altunışık AC, Gezer ED, Karahasan AK, Küçükbekir E.   +10 more
europepmc   +1 more source

Uncovering renewable energy policy impact channels on land values, the local farm structure, and farmland heterogeneity

American Journal of Agricultural Economics, EarlyView.
Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt, Stefan Seifert, Saskia Wolff, Tobia Lakes, Marten Graubner, Axel Werwatz, Silke Hüttel   +6 more
wiley   +1 more source