Results 181 to 190 of about 2,446,518 (308)

Inference and learning in state-space point process models: algorithms and applications

, 2013
Physiological signals such as neural spikes and heart beats are discrete events in time, driven by a continuous underlying system. A recently introduced data driven model to analyse such systems is the state-space model with point process observations ...
Yuan, Ke
core  

Clinically oriented automatic 2D liver tumor segmentation: LCMambaNet with a state-space model and liver cancer-specific attention. [PDF]

Front Oncol
Sun P, Yu J, Gu Q, Zhang L, Sun Y, Wang Q, Gu L, Zhu J.   +7 more
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

Selection And Updating Of Parameters For An Aluminium Space-Frame Model

, 2000
this article, many candidate parameters are considered for updating the "nite element model of a three-storey aluminium space frame. It is demonstrated that several di!erent combinations of parameters can lead to acceptable convergence of the ...
Space-frame Model, C. Mares, S. James, An Aluminium, J. E. Mottershead, M. I. Friswell   +5 more
core  

Δ t -Mamba3D: A Time-Aware Spatio-Temporal State-Space Model for Breast Cancer Risk Prediction. [PDF]

Proc AAAI Conf Artif Intell
Zhou Z, Arefan D, Zuley M, Wu S.
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

Formulating State Space Models in R with Focus on Longitudinal Regression Models

We provide a language for formulating a range of state space models with response densities within the exponential family. The described methodology is implemented in the R-package sspir. A state space model is specified similarly to a generalized linear
Claus Dethlefsen, Søren Lundbye-Christensen   +1 more
core  

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

Bootstrap prediction intervals in State Space models [PDF]

Prediction intervals in State Space models can be obtained by assuming Gaussian innovations and using the prediction equations of the Kalman filter, where the true parameters are substituted by consistent estimates.
Esther Ruiz, Alejandro Rodriguez
core  

Core-Periphery Principle Guided State Space Model for Functional Connectome Classification. [PDF]

Med Image Comput Comput Assist Interv
Chen M, Yu X, Zhang J, Chen T, Cao C, Zhuang Y, Lyu Y, Zhang L, Liu T, Zhu D.   +9 more
europepmc   +1 more source