Results 41 to 50 of about 227,595 (269)
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Interval estimation of trigonometrical splines [PDF]
Quite often, it is necessary to quickly determine variation range of the function. If the function values are known at some points, then it is easy to construct the local spline approximation of this function and use the interval analysis rules.
Burova I.G., Ivanova E.G., Kostin V.A.
doaj +1 more source
Approximation Errors of Online Sparsification Criteria [PDF]
Many machine learning frameworks, such as resource-allocating networks, kernel-based methods, Gaussian processes, and radial-basis-function networks, require a sparsification scheme in order to address the online learning paradigm. For this purpose, several online sparsification criteria have been proposed to restrict the model definition on a subset ...
openaire +5 more sources
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
On approximating the error function [PDF]
Summary: In the article, we find the best possible parameters \(p\) and \(q\) on the interval \((7/5, (7\pi-20)/(5\pi-15))\) such that the double inequality \[ \sqrt{1-\lambda(p)e^{-px^2}-(1-\lambda(p))e^{-\mu(p)x^2}}
Yang, Zhen-Hang +3 more
openaire +2 more sources
Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
A Closed-Form Cubic–Logistic Approximation to the Normal Cumulative Distribution Function
Accurate evaluation of the standard normal cumulative distribution function is fundamental in many areas of mathematics, statistics, and applied computation, yet no closed-form expression in elementary functions exists.
Michael Arnold Frölich
doaj +1 more source
The paper presents the approximation problem of the inverse kinematics algorithms for the redundant manipulators. We introduce the approximation of the dynamically consistent Jacobian by the extended Jacobian.
Ratajczak Joanna
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Approximations for standard normal distribution function and its invertible
In this paper, we introduce a new approximation of the cumulative distribution function of the standard normal distribution based on Tocher's approximation.
Omar M. Eidous, Mohammad Y. Al-Rawwash
doaj +1 more source

