Results 161 to 170 of about 1,472,346 (301)
State Space Methods in Ox/SsfPack
The use of state space models and their inference is illustrated using the package SsfPack for Ox. After a rather long introduction that explains the use of SsfPack and many of its functions, four case-studies illustrate the practical implementation of ...
Matteo M. Pelagatti
core
Mass spectrometry based identification of AMP‐O‐Tris generated by Thermococcus onnurineus Cas10
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 +6 more
wiley +1 more source
The problem of Small Area Estimation is how to produce reliable estimates of area (domain) characteristics, when the sizes within the areas are too small to warrant the use of traditional direct survey estimates.
Pfeffermann, Danny, Tiller, Richard
core
Distillation-free Scaling of Large State-Space Models for Images and Videos. [PDF]
Suleman H, Wasim ST, Naseer M, Gall J.
europepmc +1 more source
Improving inference for nonlinear state-space models of animal population dynamics given biased sequential life stage data. [PDF]
Polansky L, Newman KB, Mitchell L.
europepmc +1 more source
Why human connection is the true metric of research success
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 +3 more
wiley +1 more source
State-space modelling is a powerful tool to study ecological systems. The direct inclusion of uncertainty, unification of models and data, and ability to model unobserved, hidden states increases our knowledge about the environment and provides new ...
New, Leslie Frances
core
Learning stable radiation boundaries for wave simulations via passive neural state-space models. [PDF]
Li A, Wang X, Wang Y, Wang S.
europepmc +1 more source
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 +6 more
wiley +1 more source
Forecasting macroeconomic variables using a structural state space model
This paper has a twofold purpose; the first is to present a small macroeconomic model in state space form, the second is to demonstrate that it produces accurate forecasts.
de Silva, Ashton
core

