Results 71 to 80 of about 7,212 (303)

Biodegradable and Recyclable Luminescent Mixed‐Matrix‐Membranes, Hydrogels, and Cryogels based on Nanoscale Metal‐Organic Frameworks and Biopolymers

open access: yesAdvanced Functional Materials, EarlyView.
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner   +4 more
wiley   +1 more source

EEG Signal Classification using Variational Mode Decomposition

open access: yes, 2020
Epilepsy affects about 1% of the population every year, and is characterized by abnormal and sudden hyper-synchronous excitation of the neurons in the brain. The electroencephalogram(EEG) is the most widely used method to record brain signals and diagnose epilepsy and seizure cases. In this paper we use the method of Variational Mode Decomposition (VMD)
Ullal, Akshith, Pachori, Ram Bilas
openaire   +3 more sources

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

The Data-Driven Optimization Method and Its Application in Feature Extraction of Ship-Radiated Noise with Sample Entropy

open access: yesEnergies, 2019
The data-driven method is an important tool in the field of underwater acoustic signal processing. In order to realize the feature extraction of ship-radiated noise (S-RN), we proposed a data-driven optimization method called improved variational mode ...
Yuxing Li   +4 more
doaj   +1 more source

Resonance-based sparse adaptive variational mode decomposition and its application to the feature extraction of planetary gearboxes.

open access: yesPLoS ONE, 2020
Due to the assumption that the VMD technique is essentially a set of adaptive Wiener filter banks and its performance depends to a large extent on the preset parameter K (the number of decomposition).
Jing Zhu   +6 more
doaj   +1 more source

Near‐Infrared Emitting Lanthanide Catecholate Giant Single Crystals – Morphology Control and Photon Down‐Conversion

open access: yesAdvanced Functional Materials, EarlyView.
Controlled syntheses of lanthanide coordination polymers based on the dihydroxybenzoquinone (DHBQ) organic linker afforded large single crystals of Ln‐DHBQ CPs (Ln = Yb, Nd). A novel structural variant of Yb‐DHBQ is identified by means of single crystal diffraction analysis.
Marina I. Schönherr   +7 more
wiley   +1 more source

Biomass Native Structure Into Functional Carbon‐Based Catalysts for Fenton‐Like Reactions

open access: yesAdvanced Functional Materials, EarlyView.
This study indicates that eight biomasses with 2D flaky and 1D acicular structures influence surface O types, morphology, defects, N doping, sp2 C, and Co nanoparticles loading in three series of carbon, N‐doped carbon, and cobalt/graphitic carbon. This work identifies how these structural factors impact catalytic pathways, enhancing selective electron
Wenjie Tian   +7 more
wiley   +1 more source

Removal of Steroid Hormone Micropollutants by an Electrochemical Carbon Nanotube Membrane Flow‐Through Reactor: Role of Concentration and Degradation Mechanisms

open access: yesAdvanced Functional Materials, EarlyView.
A flow‐through electrochemical membrane reactor equipped with a carbon nanotube membrane eliminates the mass transfer limitation, achieving removals >97.5% for steroid hormone (SH) micropollutants through electrochemical adsorption and degradation, over a broad initial concentration varying from 50 to 106 ng L−1.
Siqi Liu   +2 more
wiley   +1 more source

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