Results 111 to 120 of about 1,723,352 (285)

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

open access: yesAdvanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia   +7 more
wiley   +1 more source

Bayes and pseudo-Bayes estimates of conditional probabilities and their reliability [PDF]

open access: yes, 1993
Various ways of estimating probabilities, mainly within the Bayesian framework, are discussed. Their relevance and application to machine learning is given, and their relative performance empirically evaluated. A method of accounting for noisy data is given and also applied.
openaire   +3 more sources

"Improved Empirical Bayes Ridge Regression Estimators under Multicollinearity" [PDF]

open access: yes
In this paper we consider the problem of estimating the regression parameters in a multiple linear regression model when the multicollinearity is present.Under the assumption of normality, we present three empirical Bayes estimators.
Tatsuya Kubokawa, M. S. Srivastava
core  

Innate Immunocompetent hiPSC‐Derived Neurospheroids Capture Early CNS Responses to rAAV

open access: yesAdvanced Science, EarlyView.
Knowledge of human CNS immune responses to AAV‐based gene therapies remains limited due to the lack of immune‐competent human models. Here, a hiPSC‐derived 3D neuroimmune platform integrating neurospheroids and microglia is established using stirred‐tank bioreactors.
Catarina M. Gomes   +14 more
wiley   +1 more source

BAYES ESTIMATION USING A LINEX LOSS FUNCTION [PDF]

open access: yesJournal of Sciences, Islamic Republic of Iran, 1990
This paper considers estimation of normal mean ? when the variance is unknown, using the LINEX loss function. The unique Bayes estimate of ?
doaj  

A nonlinear updating algorithm captures suboptimal inference in the presence of signal-dependent noise

open access: yesScientific Reports, 2018
Bayesian models have advanced the idea that humans combine prior beliefs and sensory observations to optimize behavior. How the brain implements Bayes-optimal inference, however, remains poorly understood.
Seth W. Egger, Mehrdad Jazayeri
doaj   +1 more source

Engineering Approaches to Modify Immunomodulatory Functions of Mesenchymal Stromal Cells (MSCs): Tissue Regeneration and Clinical Application

open access: yesAdvanced Science, EarlyView.
Mesenchymal stromal cells (MSCs) show promise for treating immune‐related disorders through immunomodulation and tissue regeneration. This review gives a brief overview of current clinical approval of MSC therapies. It also discussed how bioengineering, including genetic modification, biomaterial delivery, extracellular vesicles, and iPSC‐derived MSCs,
Sichen Yang   +6 more
wiley   +1 more source

Integrasi Naive Bayes dalam Sistem Pendukung Keputusan berbasis Web untuk Kelayakan Kredit Koperasi Simpan Pinjam

open access: yesEdumatic
assessment, which is still manual and subjective. This study aims to develop a web-based Decision Support System (DSS) using the Naive Bayes algorithm that not only validates the model but also integrates it into an operational system that can be used ...
Veronika Yusiana Yusefin   +1 more
doaj   +1 more source

Lactiplantibacillus Plantarum GUANKE Alleviates Allergic Asthma by Restricting Monocyte‐to‐DC Differentiation Via Microbiota‐Associated IAA

open access: yesAdvanced Science, EarlyView.
Lactiplantibacillus plantarum GUANKE remodels the indigenous gut microbiota and is associated with microbiota‐dependent restoration of circulating IAA. IAA treatment attenuates JAK3‐STAT3 and Jag1‐Notch4‐Hey1 signaling and reduces CX3CR1+Ly6C− monocytic precursor generation and pulmonary CD11b+ DC accumulation, together with reduced Th2 inflammation ...
Yujia He   +10 more
wiley   +1 more source

Condition‐Associated Pattern Extraction and Recovery From Multi‐Condition Single‐Cell RNA‐seq Data With CAPER

open access: yesAdvanced Science, EarlyView.
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li   +6 more
wiley   +1 more source

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