Results 181 to 190 of about 1,472,346 (301)

NIDS-Mamba: Lightweight Network Intrusion Detection for IoT Sensor Networks via State Space Models. [PDF]

Sensors (Basel)
Ding Z, Zheng J, Wu X.
europepmc   +1 more source

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

Predictable Signals in Excess Returns: Evidence from Non-Gaussian State Space Models [PDF]

The present work investigates predictable components in size-based and value-weighted market portfolios excess returns from NYSE, AMEX, and NASDAQ stocks over US Treasury bills using various Gaussian and non-Gaussian versions of state space or unobserved
Khurshid Kiani
core  

MambaSSM: efficient segmentation of brain structures in anisotropic 3D EM images via state-space models. [PDF]

Front Neurosci
Liu M, Fang L, Zhang Q, Yang H.
europepmc   +1 more source

A Diagnostic Procedure for Detecting Outliers in Linear State-Space Models. [PDF]

Multivariate Behav Res, 2020
You D, Hunter M, Chen M, Chow SM.
europepmc   +1 more source

Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens

FEBS Open Bio, EarlyView.
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee, Giulia Zanetti, Bram van den Broek, Kees Jalink   +3 more
wiley   +1 more source

Gaussian Process State-Space Models with Time-Varying Parameters and Inducing Points. [PDF]

Proc Eur Signal Process Conf EUSIPCO, 2020
Liu Y, Djurić PM.
europepmc   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

LungNet: Leveraging state-space models with SE-enhanced skip connections for precise CT-based lung lesion segmentation. [PDF]

PLoS One
Mi F, Xu Y, Mi S.
europepmc   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source