Results 141 to 150 of about 6,745,347 (301)

Benchmark maps of 33 years of secondary forest age for Brazil. [PDF]

Sci Data, 2020
Silva Junior CHL, Heinrich VHA, Freire ATG, Broggio IS, Rosan TM, Doblas J, Anderson LO, Rousseau GX, Shimabukuro YE, Silva CA, House JI, Aragão LEOC.   +11 more
europepmc   +1 more source

USDA Forest Service resource bulletin SE.

, 1968
Some issues have title: U.S.D.A.
Southeastern Forest Experiment Station (Asheville, N.C.)
core  

Bioinspired Hydrogels with Broadly Programmable Mechanics for Soft‐Tissue Interfaces

Advanced Functional Materials, EarlyView.
Sea cucumber‐inspired gelatin hydrogels are formed by directional freezing and mechanically programmed through subsequent ionic treatment. Multiscale characterization and modeling link ion‐regulated chain interactions to directional load transfer within the aligned hierarchical architecture.
Youchao Teng, TzuChun Chung, Katpady Akhil Tantry, Siyu Wu, Jing Tian, Yunqi Cui, Lanyu Li, Yongzan Zhou, Zhilei Zhang, Zhe Su, Gaili Cao, Kun‐Wei Yeh, Ruipeng Li, Xianghui Xiao, Adam F. G. Leontowich, Yuan‐Yu Hsueh, Zhao Pan, Kam C. Tam, Badri Narayanan, Song Li, Yimin. A. Wu   +20 more
wiley   +1 more source

The Wake Forest Review [November 1976]

, 1976
November 1976 issue of The Wake Forest ...

core   +1 more source

Author Correction: Benchmark maps of 33 years of secondary forest age for Brazil. [PDF]

Sci Data, 2020
Silva Junior CHL, Heinrich VHA, Freire ATG, Broggio IS, Rosan TM, Doblas J, Anderson LO, Rousseau GX, Shimabukuro YE, Silva CA, House JI, Aragão LEOC.   +11 more
europepmc   +1 more source

Optimal Forest Rotations with Environmental Values and Endogenous Fire Risk [PDF]

This paper develops a model that solves for the optimal economic harvest rotation problem to maximize revenue of an even-aged forest plantation when there is a risk of a catastrophic forest fire.
Daigneault, Adam J., Sohngen, Brent, Miranda, Mario J.   +2 more
core  

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

The Wake Forest Review [Spring 1978]

, 1978
Spring 1978 issue of The Wake Forest ...

core   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Partial river flow recovery with forest age is rare in the decades following establishment. [PDF]

Glob Chang Biol, 2020
Bentley L, Coomes DA.
europepmc   +1 more source