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Receptor time integration via discrete sampling
Physical Review E, 2022Living cells can measure chemical concentrations with remarkable accuracy, even though these measurements are inherently noisy due to the stochastic binding of the ligand to the receptor. A widely used mechanism for reducing the sensing error is to increase the effective number of measurements via receptor time integration.
G. Malaguti, P. R. ten Wolde
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Discrete Fluid Samples Microextractor
2007 IEEE International Symposium on Industrial Electronics, 2007A discrete fluid samples microextractor is presented in this paper. The main advantage of this device is that the extraction is controlled, not only in time but also in fluid volume. A one shot valve is in charge of extracting a certain quantity of fluid in the fixed moment.
Carmen Aracil +2 more
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Discrete random sampling theory
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013This paper proposes a new perspective on the relationship between the sampling and aliasing. Unlike the uniform sampling case, where the aliases are simply periodic replicas of the original spectrum, random sampling theory shows that the randomization of sampling intervals shapes the aliases into a noise floor in the sampled spectrum. New insights into
Chenchi Luo, James H. McClellan
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Molecular Physics, 2002
A theoretical framework is developed for the calculation of rate constants by sampling connected pathways composed of local minima and transition states that link them together. The theory is applicable to two-state or effective two-state systems and is applied to permutational or morphological isomerization in a two-dimensional cluster of seven ...
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A theoretical framework is developed for the calculation of rate constants by sampling connected pathways composed of local minima and transition states that link them together. The theory is applicable to two-state or effective two-state systems and is applied to permutational or morphological isomerization in a two-dimensional cluster of seven ...
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Sampling and Discrete Choice Analysis
The Professional Geographer, 1994Samples used to estimate discrete choice models in geography and regional science are typically assumed to be simple random samples. This assumption is not always met with existing samples. Furthermore, data collection is usually less costly if a stratified sampling strategy is adopted.
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