Results 161 to 170 of about 3,455,384 (266)

Random Forest Classification to Predict Response to High-Definition Transcranial Direct Current Stimulation for Tinnitus Relief: A Preliminary Feasibility Study. [PDF]

Ear Hear, 2022
Cardon E, Jacquemin L, Schecklmann M, Langguth B, Mertens G, Vanderveken OM, Lammers M, Van de Heyning P, Van Rompaey V, Gilles A.   +9 more
europepmc   +1 more source

Why do forest animals live where they do? [PDF]

, 2014
This archived document is maintained by the Oregon State Library as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Title from PDF caption (viewed on August 15, 2014)Part of ...

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Managing Charge Transport and Exciton Generation for Highly Efficient, Bright, and Stable Near‐Infrared Organic Radical Light‐Emitting Diodes

Advanced Functional Materials, EarlyView.
High‐performing near‐infrared (NIR) organic light‐emitting diodes are demonstrated using an efficient and stable 800 nm‐emissive organic radical and a thermally activated delayed fluorescence (TADF) host. TADF‐assisted exciton generation combined with improved charge transport enables high external quantum efficiency (>8%), high radiance (>70,000 mW sr−
Hwan‐Hee Cho, Min‐Hsuan Chang, Yi‐Syun Chen, Tetsuro Kusamoto, Emrys W. Evans, Yuh‐Renn Wu, Richard H. Friend   +6 more
wiley   +1 more source

IIb-RAD-sequencing coupled with random forest classification indicates regional population structuring and sex-specific differentiation in salmon lice (Lepeophtheirus salmonis). [PDF]

Ecol Evol, 2022
Guragain P, Båtnes AS, Zobolas J, Olsen Y, Bones AM, Winge P.   +5 more
europepmc   +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

Testing the Contribution of Multi-Source Remote Sensing Features for Random Forest Classification of the Greater Amanzule Tropical Peatland. [PDF]

Sensors (Basel), 2021
Amoakoh AO, Aplin P, Awuah KT, Delgado-Fernandez I, Moses C, Alonso CP, Kankam S, Mensah JC.   +7 more
europepmc   +1 more source

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

Advanced 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, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +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.)
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced 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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Forest essays, level 7-12

, 2016
Big red wins back title as nation's largest ponderosa pine -- Salmon's journey home -- Destructive foreign invader -- Douglas-fir seedling reaches for the light -- Community members and school kids bring back a forest -- High-climbing botanists discover ...

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