Results 91 to 100 of about 2,190,995 (307)

Comparative Analysis of Dynamic Models and Adaptive Process-Noise Modeling for Kalman-Based Aerial Target Tracking

open access: yesIEEE Access
Accurate target tracking is essential for the effectiveness of air surveillance, air-traffic monitoring, and defense-support systems. This paper presents a comparative study of several dynamic motion models applied to Kalman-based filters for aerial ...
Arthur Medeiros Macedo   +1 more
doaj   +1 more source

Symbolic Methods for Exploring Infinite State Spaces.

open access: yes, 1998
In this thesis, we introduce a general method for computing the set of reachable states of an infinite-state system. The basic idea, inspired by well-known state-space exploration methods for finite-state systems, is to propagate reachability from the initial state of the system in order to determine exactly which are the reachable states.
openaire   +3 more sources

Interaction of HS1BP3 with cortactin modulates TKS5 localisation, cell secretion and cancer malignancy

open access: yesMolecular Oncology, EarlyView.
Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen   +9 more
wiley   +1 more source

Inference for Adaptive Time Series Models: Stochastic Volatility and Conditionally Gaussian State Space Form [PDF]

open access: yes
In this paper we replace the Gaussian errors in the standard Gaussian, linear state space model with stochastic volatility processes. This is called a GSSF-SV model.
Neil Shephard, Charles S. Bos
core  

Interpreting the effects of DNA polymerase variants at the structural level

open access: yesMolecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi   +7 more
wiley   +1 more source

Longitudinal genome‐wide aneuploidy measurements in circulating cell‐free DNA to predict lack of benefit from pembrolizumab in patients with metastatic urothelial cancer

open access: yesMolecular Oncology, EarlyView.
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi   +14 more
wiley   +1 more source

Parameterisation and Efficient MCMC Estimation of Non-Gaussian State Space Models [PDF]

open access: yes
The impact of parameterisation on the simulation efficiency of Bayesian Markov chain Monte Carlo (MCMC) algorithms for two non-Gaussian state space models is examined.
Chris M Strickland   +2 more
core  

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

open access: yesMolecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka   +9 more
wiley   +1 more source

Automatic forecasting with a modified exponential smoothing state space framework [PDF]

open access: yes
A new automatic forecasting procedure is proposed based on a recent exponential smoothing framework which incorporates a Box-Cox transformation and ARMA residual corrections.
Alysha M De Livera
core  

State-space independent component analysis for nonlinear dynamic process monitoring [PDF]

open access: yes, 2010
The cost effective benefits of process monitoring will never be over emphasised. Amongst monitoring techniques, the Independent Component Analysis (ICA) is an efficient tool to reveal hidden factors from process measurements, which follow non-Gaussian
Odiowei, P. P., Cao, Yi
core   +1 more source

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