Results 191 to 200 of about 64,560 (254)

A univocal definition of the neuronal soma morphology using Gaussian mixture models. [PDF]

Front Neuroanat, 2015
Luengo-Sanchez S, Bielza C, Benavides-Piccione R, Fernaud-Espinosa I, DeFelipe J, Larrañaga P.   +5 more
europepmc   +1 more source

From Surface to Bulk Activation: Tailoring the Porosity and Surface Chemistry of Resorcinol‐Formaldehyde Carbon Sorbents for Atmospheric Water Harvesting

Advanced Materials Interfaces, EarlyView.
A bulk activation route to produce nanoporous carbons for atmospheric water harvesting by incorporating potassium hydroxide during resorcinol‐formaldehyde polycondensation. These high‐oxygen sorbents deliver daily water yields up to 23 L kg−1 day−1 with great cyclability, providing a scalable solution for water production in diverse climates.
SeyedEmad AlaviTabari, Simon Ponton, Maëlle Roncière, Richard Boudreault, Pierre‐Luc Girard‐Lauriault, Jason Robert Tavares   +5 more
wiley   +1 more source

Novel Methods for Surface EMG Analysis and Exploration Based on Multi-Modal Gaussian Mixture Models. [PDF]

PLoS One, 2016
Vögele AM, Zsoldos RR, Krüger B, Licka T.   +3 more
europepmc   +1 more source

Extrusion Bioprinting for Wound Healing: Innovations in Functionalized Bioinks and Bioprinting Technology

Advanced Materials Technologies, EarlyView.
Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le, Anh Tuan Trong Tran, Ammara Waheed, Tran Thanh Tung, Dusan Losic   +4 more
wiley   +1 more source

Gaussian Mixture Models of Between-Source Variation for Likelihood Ratio Computation from Multivariate Data. [PDF]

PLoS One, 2016
Franco-Pedroso J, Ramos D, Gonzalez-Rodriguez J.   +2 more
europepmc   +1 more source

Artificial Synaptic Device Based on Self‐Aligned c‐In2O3 TFTs With an Ultrathin MgO Interlayer

Advanced Materials Technologies, EarlyView.
A coplanar synaptic thin‐film transistor based on crystalline In2O3 is demonstrated using a PECVD SiO2 gate insulator and an ultrathin MgO interlayer. The MgO interlayer suppresses excessive carrier density and may facilitate proton‐related interfacial polarization, resulting in stable counterclockwise hysteresis and synaptic behavior.
Samiran Roy, Jewel Kumer Saha, Jin Jang
wiley   +1 more source

The application of Gaussian mixture models for signal quantification in MALDI-TOF mass spectrometry of peptides. [PDF]

PLoS One, 2014
Spainhour JC, Janech MG, Schwacke JH, Velez JC, Ramakrishnan V.   +4 more
europepmc   +1 more source

In Situ Integrated Titanium Oxide Synaptic Phototransistor Enabling Multimodal Plasticity and Noise‐Robust Selective Attention

Advanced Materials Technologies, EarlyView.
An in situ integrated TiO2/SiOx/Al2O3 synaptic phototransistor couples ultraviolet and electrical stimuli within a scalable, CMOS‐compatible oxide stack. Multimodal plasticity, spike‐timing‐dependent learning, and bee‐inspired associative conditioning are achieved through trap‐mediated temporal dynamics.
Youngbin Yoon, Jaehee Lee, Jeongwook Kwon, Yongki Kim, Myunghun Shin, Jung Wook Lim   +5 more
wiley   +1 more source

Gaussian mixture models and semantic gating improve reconstructions from human brain activity. [PDF]

Front Comput Neurosci, 2014
Schoenmakers S, Güçlü U, Güçlü U, van Gerven M, Heskes T.   +4 more
europepmc   +1 more source

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

Advanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn, Jun Young Choi, Sung‐Hoon Ahn   +2 more
wiley   +1 more source