Results 81 to 90 of about 2,413,020 (301)

Bioinspired Hydrogels with Broadly Programmable Mechanics for Soft‐Tissue Interfaces

open access: yesAdvanced 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   +20 more
wiley   +1 more source

Critical Analysis of Forest Degradation in the Southern Eastern Ghats of India: Comparison of Satellite Imagery and Soil Quality Index.

open access: yesPLoS ONE, 2016
India has one of the largest assemblages of tropical biodiversity, with its unique floristic composition of endemic species. However, current forest cover assessment is performed via satellite-based forest surveys, which have many limitations.
Andimuthu Ramachandran   +4 more
doaj   +1 more source

U.S. Forest Service Report Sa 3/2/maps/pt.1

open access: yes, 1979
Maps accompanying a Land and Resource Management Plan for the Salmon National Forest showing 12 alternative management plans for the forest. Roads, forest boundaries, trails, and other points of interest are drawn on the map using lines and symbols ...
United States. Forest Service.
core  

Biodegradable 3D‐Printable and Coatable Antifouling Composites for Marine Applications

open access: yesAdvanced Functional Materials, EarlyView.
Marine biofouling damages submerged surfaces and raises greenhouse gas emissions. Biodegradable antifouling biocomposites were developed by hot‐mixing beeswax, Tween 80, and calcium stearate or stearic acid. Adjusting the component ratio enables processing via hot‐pressing, 3D‐printing, or dip‐coating.
Gabriele Corigliano   +17 more
wiley   +1 more source

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

open access: yesAdvanced 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   +9 more
wiley   +1 more source

Degradation in edge forests caused by forest fragmentation

open access: yesCarbon Research
Abstract Deforestation turns intact forests into fragments and creates edge forests. These edge forests experience degradation due to edge effects and may become vulnerable to climate extremes such as drought and fire. Estimating carbon dynamics in fragmented forests requires accurately mapping these edge forests, along with incorporating ...
Minxuan Sun   +8 more
openaire   +1 more source

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

open access: yesAdvanced 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

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

open access: yesAdvanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair   +3 more
wiley   +1 more source

Deforestation and forest degradation are happening

open access: yes, 2022
Deforestation and forest degration are ...
openaire   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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