Results 51 to 60 of about 5,993,593 (296)

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

open access: yesFEBS Letters, EarlyView.
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

Prediction of cancer using customised fuzzy rough machine learning approaches

open access: yesHealthcare Technology Letters, 2018
This Letter proposes a customised approach for attribute selection applied to the fuzzy rough quick reduct algorithm. The unbalanced data is balanced using synthetic minority oversampling technique.
Chinnaswamy Arunkumar   +2 more
doaj   +1 more source

Density in Approximation Theory

open access: yes, 2005
Approximation theory is concerned with the ability to approximate functions by simpler and more easily calculated functions. The first question we ask in approximation theory concerns the {\it possibility of approximation}. Is the given family of functions from which we plan to approximate dense in the set of functions we wish to approximate?
openaire   +3 more sources

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
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

Approximation Error Bounds via Rademacher's Complexity [PDF]

open access: yes, 2008
Approximation properties of some connectionistic models, commonly used to construct approximation schemes for optimization problems with multivariable functions as admissible solutions, are investigated.
Gnecco, Giorgio, Sanguineti, Marcello
core  

Rational approximation of discrete data with asymptomatic behaviour [PDF]

open access: yes
This thesis is concerned with the least-squares approximation of discrete data that appear to exhibit asymptotic behaviour. In particular, we consider using rational functions as they are able to display a number of types of asymptotic behaviour.
Cooper, Philip
core   +4 more sources

Network equivalent by vector fitting-based rational approximation in wind power integrated power systems

open access: yesThe Journal of Engineering, 2019
Considering the electromagnetic transient (EMT) simulation for a large power system is complicated and impractical, a feasible solution is to model the area not of interest (external system) as a frequency-dependent network equivalent circuit by vector ...
Chenxuan Wang, Zhen Wang
doaj   +1 more source

Department of mathematical analysis and theory of functions celebrates 100 years!

open access: yesResearches in Mathematics, 2020
In 2019 the Department of Mathematical Analysis and Theory of Functions celebrates its 100th anniversary. The history of its creation and development is given in the article in terms of the anniversary.
M.Ye. Tkachenko, M.B. Vakarchuk
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
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

Resource optimised reconfigurable modular parallel pipelined stochastic approximation-based self-tuning regulator architecture with reduced latency

open access: yesThe Journal of Engineering, 2015
Present self-tuning regulator architectures based on recursive least-square estimation are computationally expensive and require large amount of resources and time in generating the first control signal due to computational bottlenecks imposed by the ...
Varghese Mathew Vaidyan, Ashok Shankar
doaj   +1 more source

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