Results 201 to 210 of about 115,949 (372)

Eigenfeature‐enhanced deep learning: advancing tree species classification in mixed conifer forests with lidar

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Workflow for tree species classification using lidar data. Steps include preprocessing (normalization, noise removal, CHM creation), tree segmentation, eigenfeature extraction, and 2D CNN training/validation. Blue, yellow, and red indicate training, validation, and testing image sets, respectively.
Ryan C. Blackburn   +5 more
wiley   +1 more source

Deciduous forest responses to temperature, precipitation, and drought imply complex climate change impacts

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2015
Yingying Xie, Xiaojing Wang, J. Silander
semanticscholar   +1 more source

Secretome Profiling in Axon Regeneration: Emerging Techniques and Therapeutic Translation

open access: yesSensory Neuroscience, EarlyView.
ABSTRACT The secretome refers to the in vivo ensemble of molecular entities that are found in interstitial spaces. It is then the mere secreted products of the cells, as all biomolecules in the interstitial cellular spaces also undergo modifications. The fractionated secretome may hold potential as a cell‐free therapy option due to its role in tissue ...
Maria D. Cabrera   +3 more
wiley   +1 more source

The Biomaterial and Blood Clot Complex: A Crucial Early Environment for Osteo‐Coagulo‐Immunomodulation and the Advancement of Bone Biomaterials

open access: yesSmall Structures, EarlyView.
Various properties of bone biomaterials can modulate components of the blood clot (including the fibrin network, red blood cells, platelets, and the complement system) in vivo implantation, leading to the formation of a biomaterial–blood clot complex (BBCC) significantly impacting subsequent osteoimmunomodulation.
Zongpu Han   +11 more
wiley   +1 more source

Home - About - Disclaimer - Privacy