Results 251 to 260 of about 4,975,084 (343)
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 +5 more
wiley +1 more source
Do Wolves Protect Forests? Investigating the Link Between Wolf Density, Deer Browse, and Plant Recovery. [PDF]
Brice EM +3 more
europepmc +1 more source
Innovative farming and forestry across the emerging world : the role of genetically modified crops and trees [PDF]
De Buck, Sylvie +3 more
core
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 +5 more
wiley +1 more source
A method for preliminary assessment of the vulnerability to climate change of tree species for urban afforestation. [PDF]
Gala C +5 more
europepmc +1 more source
A Comparative Study of Urban Forest Management Programs for Three Major Cities in Santa Clara County: A Benchmarking Study [PDF]
Remien, Suzanne
core +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Forest Bird Abundance Is Linked to the Interactions Between Forest Characteristics and Species Ecological Traits: Implications for Forest Management. [PDF]
Szarvas F +5 more
europepmc +1 more source
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
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 +4 more
wiley +1 more source

