Results 61 to 70 of about 15,672,752 (147)

Complementary hyperpolarized 13C and 15N MRI reveal divergent signatures of hepatic injury and methyl-donor metabolism

npj Imaging
Metabolic dysfunction and hepatocellular injury coexist in liver disease but remain difficult to disentangle non-invasively. Hyperpolarized magnetic resonance imaging (HP MRI) enables in vivo metabolic interrogation but has primarily been applied to ...
Ingeborg S. Skre, Magnus Karlsson, Juan D. Sánchez-Heredia, Vebjørn S. Skre, Peter A. Rasmussen, Mathilde H. Lerche   +5 more
doaj   +1 more source

Robust Control: A Note on the Timing of Model Uncertainty [PDF]

In this note a one-state, one-control variable quadratic linear problem with robust control and discount factor is developed to examine the optimal response of the first-period control to changes in future model uncertainty.
Arnulfo Rodriguez
core  

Robust stability and performance analysis for multiple model adaptive controllers

—For an Estimation Based Multiple Model Switched Adaptive Control (EMMSAC) algorithm controlling a MIMO minimal LTI plant, $l_p,\ 1\le p\le \infty$ bounds on the gain from the input and output disturbances to the internal signals are obtained which are ...
Buchstaller, Dominic, French, Mark
core   +1 more source

Active pixel power control for crosstalk-free all-optical neural interrogation

Nature Communications
All-optical interrogation, based on high-resolution two-photon stimulation and imaging, has emerged as a potentially transformative approach in neuroscience, allowing for the simultaneous precise manipulation and monitoring of neuronal activity across ...
Gewei Yan, Guangnan Tian, Yiming Fu, Yingzhu He, Zhentao She, Kenny K. Y. Chen, Julie L. Semmelhack, Jianan Y. Qu   +7 more
doaj   +1 more source

Using the Bayesian information criterion to develop two-stage model-robust and model-sensitive designs. [PDF]

In this paper, we investigate use of the Bayesian Information Criterion (BIC) in the development of Bayesian two-stage designs robust to model uncertainty.
Ruggoo, Arvind, Vandebroek, Martina
core  

PRISM a diagnostic framework for parametric recall degradation in quantized large language models

Discover Computing
Post-training quantization (PTQ) is the standard method for deploying large language models (LLMs), though it is widely assumed to degrade model quality uniformly.
Swastik Vaish, Arpit Singh Gautam, Varun Tiwari, Jitendra Singh Yadav   +3 more
doaj   +1 more source

Fitting multiplicative models by robust alternating regressions. [PDF]

In this paper a robust approach for fitting multiplicative models is presented. Focus is on the factor analysis model, where we will estimate factor loadings and scores by a robust alternating regression algorithm. The approach is highly robust, and also
Croux, Christophe, Filzmoser, P, Pison, G, Rousseeuw, Peter   +3 more
core  

Quiet Please: Detrending Radial Velocity Variations from Stellar Activity with a Physically Motivated Spot Model

The Astronomical Journal
For solar-type stars, spots and their associated magnetic regions induce radial velocity perturbations through the Doppler rotation signal and the suppression of convective blueshift, collectively known as rotation modulation.
Jared C. Siegel, Samuel Halverson, Jacob K. Luhn, Lily L. Zhao, Khaled Al Moulla, Paul Robertson, Chad F. Bender, Ryan C. Terrien, Arpita Roy, Suvrath Mahadevan, Fred Hearty, Joe P. Ninan, Jason T. Wright, Eric B. Ford, Christian Schwab, Guðmundur Stefánsson, Cullen H. Blake, Michael W. McElwain   +17 more
doaj   +1 more source

Data-efficient self-supervised algorithms for fine-grained birdsong analysis

Ecological Informatics
Research in bioacoustics, neuroscience, and linguistics often uses birdsong as a proxy to acquire knowledge across diverse areas. This requires audio models to annotate and parse the birdsong.
Houtan Ghaffari, Lukas Rauch, Paul Devos
doaj   +1 more source

Neuroligin-3 R451C induces gain-of-function gene expression in astroglia in an astroglia-enriched brain organoid model

Cell Regeneration
Astroglia are integral to brain development and the emergence of neurodevelopmental disorders. However, studying the pathophysiology of human astroglia using brain organoid models has been hindered by inefficient astrogliogenesis.
Rui Dang, Mridul Dalmia, Ziyuan Ma, Mengmeng Jin, Kushal Aluru, Vincent R. Mirabella, Ava V. Papetti, Li Cai, Peng Jiang   +8 more
doaj   +1 more source