Results 161 to 170 of about 2,446,518 (308)

A latent state space model for estimating brain dynamics from electroencephalogram (EEG) data. [PDF]

Biometrics, 2023
Wang Q, Loh JM, He X, Wang Y.
europepmc   +1 more source

Mass spectrometry based identification of AMP‐O‐Tris generated by Thermococcus onnurineus Cas10

FEBS Open Bio, EarlyView.
Isolated Thermococcus onnurineus Cas10 generates the noncanonical ATP‐derived product AMP‐O‐Tris while in Tris‐containing buffer as identified via mass spectrometry, revealing relaxed nucleophile selectivity under isolated conditions. These findings suggest that multiprotein Csm complex assembly restricts Cas10 reactivity toward canonical cyclic ...
Su‐Jin Lee, Ga Seul Lee, JinHan Kim, Kwang‐Hyun Park, Seong‐Ryung Go, Jeong Hee Moon, Eui‐Jeon Woo   +6 more
wiley   +1 more source

PAT-Mamba: Adaptive all-in-one image restoration for photoacoustic tomography via state space model. [PDF]

Photoacoustics
Chen Z, Feng T, Ta D.
europepmc   +1 more source

Tracking the transmission dynamics of COVID-19 with a time-varying coefficient state-space model. [PDF]

Stat Med, 2022
Keller JP, Zhou T, Kaplan A, Anderson GB, Zhou W.   +4 more
europepmc   +1 more source

Why human connection is the true metric of research success

FEBS Open Bio, EarlyView.
Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan, Mattias Wei Ren Kon, Xavier Coumoul, Fun Man Fung   +3 more
wiley   +1 more source

Fast Filtering and Smoothing for Multivariate State Space Models

This paper gives a new approach to diffuse filtering and smoothing for multivariate state space models. The standard approach treats the observations as vectors while our approach treats each element of the observational vector individually.
Koopman, S.J.M., Durbin, J.
core  

Linear regression techniques for state-space models with application to biomedical/biochemical example

, 2009
In this paper a novel approach to estimate parameters in an LTI continuous-time statespace model is proposed. Essentially, the approach is based on a so-called pqR-decomposition of the numerator and denominator polynomials of the system’s transfer ...
Keesman, K.J., Khairudin, N.
core  

MCAMamba: A multimodal method with bidirectional cross-attention and state space model for cancer survival prediction. [PDF]

Sci Prog
Cui H, Liu X, Ding W, Wang W.
europepmc   +1 more source

Quantifying non-communicable diseases' burden in Egypt using State-Space model. [PDF]

PLoS One, 2021
El-Saadani S, Saleh M, Ibrahim SA.
europepmc   +1 more source

Blood‐based proteomic profiling reveals context‐dependent changes in BCL2‐associated signaling during taxane therapy in breast cancer patients

FEBS Open Bio, EarlyView.
Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani, Eiman Y. Ibrahim, Rozalyn L. Rodwin, Leah M. Ferrucci, Kim Blenman, Maryam Lustberg, Barbara E. Ehrlich   +6 more
wiley   +1 more source