Results 101 to 110 of about 806,396 (338)

Decoding Hydrogel Porosity: Advancing the Structural Analysis of Hydrogels for Biomedical Applications

open access: yesAdvanced Healthcare Materials, EarlyView.
Porosity governs transport mechanics in hydrogels, yet characterization in its native state remains challenging. This work harnesses particle tracking to uncover three‐dimensional pore geometric features in polyethylene glycol hydrogels. Measurements in the native state reveal pores characteristics are comparable to those obtained by cryogenic scanning
M. A. Kristine Tolentino   +5 more
wiley   +1 more source

Invariance in Kernel Methods by Haar-Integration Kernels [PDF]

open access: yes, 2005
We address the problem of incorporating transformation invariance in kernels for pattern analysis with kernel methods. We introduce a new class of kernels by so called Haar-integration over transformations. This results in kernel functions, which are positive definite, have adjustable invariance, can capture simultaneously various continuous or ...
Haasdonk, Bernard   +2 more
openaire   +3 more sources

Neural KEM: A Kernel Method With Deep Coefficient Prior for PET Image Reconstruction. [PDF]

open access: yesIEEE Trans Med Imaging, 2023
Li S   +5 more
europepmc   +1 more source

Photocrosslinkable Kidney Decellularized Extracellular Matrix‐Based Bioink for 3D Bioprinting

open access: yesAdvanced Healthcare Materials, EarlyView.
A photocrosslinkable bioink is developed from methacrylated decellularized porcine kidney extracellular matrix to create kidney‐specific 3D constructs. This bioink supports high cell viability, promotes multicellular spheroid formation, and enables stable multilayer bioprinting with tunable mechanical properties, providing a versatile platform for ...
Jaemyung Shin   +5 more
wiley   +1 more source

Kernel Density Estimators for Gaussian Mixture Models

open access: yesLithuanian Journal of Statistics, 2013
The problem of nonparametric estimation of probability density function is considered. The performance of kernel estimators based on various common kernels and a new kernel K (see (14)) with both fixed and adaptive smoothing bandwidth is compared in ...
Tomas Ruzgas, Indrė Drulytė
doaj   +1 more source

Antitumoral Efficacy of AuNRs‐Laden ECFCs In Vitro and In Vivo: Decoding the Heat and Rays Combo Treatment in Breast Cancer and Melanoma Cells

open access: yesAdvanced Healthcare Materials, EarlyView.
Endothelial Colony Forming Cells (ECFCs) acted as cellular cyborgs, stealthily transporting gold nanorods (AuNRs) into tumors to enable targeted near‐infrared (NIR) hyperthermia combined with radiotherapy. This approach triggers ferroptosis in melanoma and inhibits autophagy in breast cancer, revealing a tumor‐specific response to nanomaterial‐assisted
Cecilia Anceschi   +26 more
wiley   +1 more source

Kernel-based variance component estimation and whole-genome prediction of pre-corrected phenotypes and progeny tests for dairy cow health traits

open access: yesFrontiers in Genetics, 2014
Prediction of complex trait phenotypes in the presence of unknown gene action is an ongoing challenge in animals, plants, and humans. Development of flexible predictive models that perform well irrespective of genetic and environmental architectures is ...
Gota eMorota   +4 more
doaj   +1 more source

Multifunctional Neural Probes Enable Bidirectional Electrical, Optical, and Chemical Recording and Stimulation In Vivo

open access: yesAdvanced Materials, EarlyView.
Convergence drawing is used to create flexible, microscale, multifunctional fiber‐based neural probes. Optimized materials selection enables individual devices to perform neural recording, electrical stimulation, optogenetics, fiber photometry, fluid delivery, and voltammetric neurotransmitter detection in rodents.
Nicolette Driscoll   +16 more
wiley   +1 more source

Home - About - Disclaimer - Privacy