Results 181 to 190 of about 30,275 (301)

Distribution characteristics and influencing factors of carbon storage in <i>Populus</i> plantations with different stand ages in the Luxi Yellow River floodplain, China. [PDF]

Front Plant Sci
Wang Z, Sun X, Guo Y, Zhou C, Liang J, Wu H, Huang C, Gao X, Zhang Y.   +8 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

Divergent responses of leaf traits to latitudinal gradients in natural and planted forests. [PDF]

For Res (Fayettev)
Su J, Xu J, Yu M, Gao J.
europepmc   +1 more source

Too Complex to Choose? The Role of Heuristics in Shaping Farmers' Willingness to Pay for Income Stabilization Tool in Italy

Agribusiness, EarlyView.
ABSTRACT European agriculture is increasingly exposed to economic instability driven by extreme weather events, market volatility, and geopolitical tensions. To manage these growing risks, farmers are encouraged to adopt innovative risk management strategies such as the Income Stabilization Tool (IST), which offers protection against severe income ...
Alice Stiletto, Ruggiero Rippo, Samuele Trestini, Elisa Giampietri, Roberta Raffaelli, Simone Cerroni   +5 more
wiley   +1 more source

Genome sequences of bacteria isolated from <i>Pinus radiata</i>-associated soils. [PDF]

Microbiol Resour Announc
Armstrong C, Eagle M, Wakelin SA.
europepmc   +1 more source

Influence of forest canopy structure on temperature buffering in young planted forests with varied tree species compositions revealed by terrestrial laser scanning

Forest structure mediates below-canopy temperatures, creating unique microclimates for forest organisms. However, the understanding of how intricate forest canopy structure affect below-canopy air temperatures remains incomplete, especially in early ...
Zhang, Shengmin, Blondeel, HabenLA200000900474238020018463690000-0001-9939-59941CBF3FFE-F0EE-11E1-A9DE-61C894A0A6B4, Calders, KimLA208020027123960000-0002-4562-25389286A620-A6F4-11E7-8878-09B7AD28A064, Wang, MengxiLA200002014275708020036058100cceec1a-253b-11eb-a2dc-f6fb4b26d29b, Vancoillie, FriekeLA208010011505190000-0002-3161-2144F540CC2C-F0ED-11E1-A9DE-61C894A0A6B4, Gillerot, LoïcUGent0001916653308020034318169735187471420000-0002-0699-447862e4036f-7464-11ea-8d7b-83f23080db05, De Frenne, PieterLA200020022364128010021976140000-0002-8613-0943F950BE58-F0ED-11E1-A9DE-61C894A0A6B4, Verbeeck, HansLA200019973752948010017128160000-0003-1490-0168FBB1ED20-F0ED-11E1-A9DE-61C894A0A6B4, Meunier, FélicienLA208020027561490000-0003-2486-309X881AB352-C346-11E7-8E3F-7DD0AD28A064, Verheyen, KrisLA200002414471448010018920620000-0002-2067-9108F740C2D4-F0ED-11E1-A9DE-61C894A0A6B4   +9 more
core  

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Site Specificity trial series (FR559) in <i>Pinus radiata</i> stands in New Zealand: Trial establishment, site description and initial data. [PDF]

Data Brief
Smaill SJ, Matson AL, Garrett LG.
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Synergies and trade-offs in forest carbon pools: separating universal drivers from forest type-specific controls. [PDF]

Front Plant Sci
Zhou Y, She J, Xiang G, Zhu X.
europepmc   +1 more source