Results 171 to 180 of about 105,835 (305)

Variance decomposition for single-subject task-based fMRI activity estimates across many sessions. [PDF]

open access: yesNeuroimage, 2017
Gonzalez-Castillo J   +3 more
europepmc   +1 more source

Engineering Pendant Group Chemistry to Control Hydrophilicity and Oxidative Degradation of Thioketal‐Based Biomaterials

open access: yesAdvanced Functional Materials, EarlyView.
Thioketal (TK) polymers are promising biomaterials due to their selective biodegradation by reactive oxygen species (ROS), but they respond slowly to physiologic doses of ROS. Here, the TK bond's pendant groups are modified to enhance the degradation of TK‐based implants both in vitro and in vivo.
Karina A. Bruce   +6 more
wiley   +1 more source

Multilevel interterritorial convergence and additive multidimensional inequality decomposition. [PDF]

open access: yes
In this paper we justify the use of the between-groups S-convex relative inequality to measure interregional convergence, within an axiomatic normative context.
Salas, Rafael
core  

A Generalized Bias-Variance Decomposition for Bregman Divergences

open access: yesCoRR
Extended version of notes previously posted here: http://davidpfau.com/assets/generalized_bvd_proof ...
openaire   +2 more sources

Tailoring Li‐ion Storage and Transport in Two‐Dimensional Conjugated Metal‐Organic Frameworks via Precise Nitrogen Incorporation

open access: yesAdvanced Functional Materials, EarlyView.
Two nitrogen‐doped 2D conjugated metal‐organic frameworks (2D c‐MOFs, namely Cu‐Nx‐OHBA, x = 2 or 4) are synthesized, featuring precise nitrogen incorporation via rational ligand design. The Cu‐Nx‐OHBA 2D c‐MOFs are largely tailorable by varying skeletal nitrogen density, with respect to electrical conductivity, Li‐storage capacitance, and Li‐transport
Xiangyu Li   +7 more
wiley   +1 more source

Bias Plus Variance Decomposition for Zero-One Loss Functions

open access: yes, 1996
We present a bias-variance decomposition of expected misclassification rate, the most commonly used loss function in supervised classification learning.
David H. Wolpert, Ron Kohavi
core  

Mechanoluminescent HOF Nanotransducers Enabled Sono‐Optogenetics in Parkinsonian Rats

open access: yesAdvanced Functional Materials, EarlyView.
We present a mechanoluminescent system utilizing porous hydrogen‐bonded organic frameworks (HOFs) as a toolkit for focused ultrasound‐triggered, non‐invasive light delivery to the deep brain in rats. This approach enables the specific activation of PV‐GPe neurons in dopamine‐depleted Parkinson's disease rat models, resulting in a comparable alleviation
Wenliang Wang   +18 more
wiley   +1 more source

The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE). [PDF]

open access: yesNeuroimage, 2016
Szczepankiewicz F   +7 more
europepmc   +1 more source

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