Results 41 to 50 of about 10,784 (286)

Impacts of environmental literacy on ecological networks in the Three Gorges Reservoir, China

open access: yesEcological Indicators, 2022
Environmental illiteracy threatens the functioning mechanisms of ecological networks worldwide, yet many people remain dubious about their existence.
Muhammad Arif, Li Changxiao
doaj   +1 more source

GeS as an Emerging OTS Material: Atomic Structure and Modeling of ON/OFF Switching

open access: yesAdvanced Functional Materials, EarlyView.
The structural puzzle of glassy GeS, an advanced memory‐selector material, has finally been disentangled, revealing a patchwork of mixed tetrahedral and trigonal species. Under a high electric field, over‐ and under‐coordinated Ge and S defects, together with three‐membered rings, form an interconnected network associated with localized and extended ...
Andrey Tverjanovich   +13 more
wiley   +1 more source

Thickness‐Programmable Opto‐Memristive Dynamics in 6‐In Wafer‐Scale Atomic‐Layer‐Controlled WS2 for Reservoir Computing

open access: yesAdvanced Functional Materials, EarlyView.
A 6‐in wafer‐scale atomic‐layer‐controlled tungsten disulfide (WS2) is achieved by combining plasma‐assisted synthesis with three‐gas reactive ion etching. Precise layer control enables tunable band‐gap evolution and pulse‐history‐dependent opto‐memristive dynamics.
Seongho Kim   +17 more
wiley   +1 more source

Elms (The)

open access: yes, 2013
Scam from a black and white photo of The Elms side view.https://digitalcommons.library.umaine.edu/univ_photos/1140/thumbnail ...

core   +3 more sources

Exploring the physics of a high-performance H-mode scenario with small ELMs at low collisionality in JET with Be/W wall

open access: yesNuclear Fusion
A new H-mode regime at low density and low edge safety factor ( q _95 = 3.2, with $I_\mathrm{p}$ = 3 MA) that combines high energy confinement, stationary conditions for density and radiation and small Edge Localized Modes (ELMs) have been found in JET ...
E. de la Luna   +21 more
doaj   +1 more source

Fingerprint Classification through Standard and Weighted Extreme Learning Machines

open access: yesApplied Sciences, 2020
Fingerprint classification is a stage of biometric identification systems that aims to group fingerprints and reduce search times and computational complexity in the databases of fingerprints.
David Zabala-Blanco   +4 more
doaj   +1 more source

Anti‐Inflammatory and Neuroactive Effects of Polymer‐Coated Iron Oxide Nanoparticles Functionalized With Interleukin 4 for Spinal Cord Injury

open access: yesAdvanced Healthcare Materials, EarlyView.
Polymer‐coated IONPs functionalized with IL‐4 display respective neuroactive and anti‐inflammatory actions on neural progenitor cells and macrophages/microglia in vitro. When examined chronically in a rat experimental model of spinal cord injury, rGO scaffolds carrying these nanosystems adequately integrate into the lesion, significantly reduce ...
Julia Martínez‐Ramírez   +12 more
wiley   +1 more source

Animating student engagement: The impacts of cartoon instructional videos on learning experience

open access: yesResearch in Learning Technology, 2019
In the modern age of education, students increasingly demand engaging, customized multimedia content. Animation constitutes a powerful pedagogical tool by combining audio messages with tailored visual cues and graphics, to serve the dual functions of ...
Chelsea Liu, Philip Elms
doaj   +1 more source

Hemocompatible Glycogen‐Tissue Plasminogen Activator Complexes for Enhanced Blood Clot Dissolution

open access: yesAdvanced Healthcare Materials, EarlyView.
Glycogen–heparin‐cRGD nanoparticles enable targeted delivery of tissue plasminogen activator (tPA) to thrombi through activated platelet recognition. The hemocompatible hybrids minimize interactions with blood and immune cells while retaining enzymatic biodegradability.
Nadiia Davydiuk   +6 more
wiley   +1 more source

Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition

open access: yesSensors, 2019
Sensor-based human activity recognition (HAR) has attracted interest both in academic and applied fields, and can be utilized in health-related areas, fitness, sports training, etc.
Yiming Tian   +4 more
doaj   +1 more source

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