Results 51 to 60 of about 700,908 (311)
Evolution with Stochastic Fitness and Stochastic Migration
Migration between local populations plays an important role in evolution - influencing local adaptation, speciation, extinction, and the maintenance of genetic variation. Like other evolutionary mechanisms, migration is a stochastic process, involving both random and deterministic elements.
Sean H Rice, Anthony Papadopoulos
openaire +4 more sources
Quantum stochastic convolution cocycles III [PDF]
The theory of quantum Levy processes on a compact quantum group, and more generally quantum stochastic convolution cocycles on a C*-bialgebra, is extended to locally compact quantum groups and multiplier C*-bialgebras.
Skalski, Adam G. +3 more
core +1 more source
A priori error indicator in the transformation method for problems with geometric uncertainties [PDF]
Version éditeur de cette publication à l'adresse suivante : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6514655To solve stochastic problems with geometric uncertainties, one can transform the original problem in a domain with stochastic ...
Mac, Duc Hung +4 more
core +1 more source
Stochastic Complementarity [PDF]
The Hicksian definition of complementarity and substitutability may not apply in contexts in which agents are not utility maximisers or where price or income vari- ations, whether implicit or explicit, are not available. We look for tools to identify complementarity and substitutability satisfying the following criteria: they are be- havioural (based ...
Manzini, Paola +2 more
openaire +8 more sources
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Information Loss Due to the Data Reduction of Sample Data from Discrete Distributions
In this paper, we study the information lost when a real-valued statistic is used to reduce or summarize sample data from a discrete random variable with a one-dimensional parameter. We compare the probability that a random sample gives a particular data
Maryam Moghimi, Herbert W. Corley
doaj +1 more source
La version éditeur de cette publication est disponible à l'adresse suivante : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6514684A Non destructive Testing (NDT) procedure is currently used to estimate the clogging of tube support plates in
MOREAU, Olivier +3 more
core +1 more source
Stochastic-Constrained Stochastic Optimization with Markovian Data
This paper considers stochastic-constrained stochastic optimization where the stochastic constraint is to satisfy that the expectation of a random function is below a certain threshold. In particular, we study the setting where data samples are drawn from a Markov chain and thus are not independent and identically distributed.
Yeongjong Kim, Dabeen Lee
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Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens +6 more
wiley +1 more source
The study aims to implement a high-resolution Extended Elastic Impedance (EEI) inversion to estimate the petrophysical properties (e.g., porosity, saturation and volume of shale) from seismic and well log data. The inversion resolves the pitfall of basic
Eko Widi Purnomo +2 more
doaj +1 more source

