Appendix D.

Beckmann, Sabine

doi:10.2307/j.ctt1wrpwkj.28

Cited by 5 publications

(6 citation statements)

References 0 publications

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“…It is interesting to point out that S-like shaped non-local signal predicted here was indeed observed in experiments 11,26 . A good agreement between our theory and the results 26 argues in favor of electron-electron interactions as a physical reason for the observed feature.…”

Section: Discussionsupporting

confidence: 81%

Shot noise and Coulomb effects on nonlocal electron transport in normal-metal/superconductor/normal-metal heterostructures

Golubev

Zaikin

2010

Phys. Rev. B

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We argue that Coulomb interaction can strongly influence non-local electron transport in normalsuperconducting-normal structures and emphasize direct relation between Coulomb effects and nonlocal shot noise. In the tunneling limit non-local differential conductance is found to have an S-like shape and can turn negative at non-zero bias. At high transmissions crossed Andreev reflection yields positive noise cross-correlations and Coulomb anti-blockade of non-local electron transport.

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Section: Discussionsupporting

confidence: 81%

Shot noise and Coulomb effects on nonlocal electron transport in normal-metal/superconductor/normal-metal heterostructures

Golubev

Zaikin

2010

Phys. Rev. B

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“…It is interesting to point out that S-like shaped non-local signal predicted here was indeed observed in experiments with NSN systems [12,27]. A good agreement between our theory and the results [27] argues in favor of electron-electron interactions as a physical reason for the observed feature. Some of the features similar to those predicted here have also been observed in experiments [22].…”

Section: Discussion and Summarysupporting

confidence: 84%

“…(16), (17) and performing the time integral in Eq. (27) we arrive at the following expression for the current through the first barrier…”

Section: Superconducting Wirementioning

confidence: 99%

Non-local electron transport and Coulomb effects in three-terminal metallic conductors

Golubev

Zaikin

2012

J. Phys.: Conf. Ser.

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We demonstrate a close relation between Coulomb effects in non-local electron transport and non-local shot noise in three-terminal metallic conductors. Provided the whole structure is normal, cross-correlations in shot noise are negative and Coulomb interaction tends to suppress both local and non-local conductances of the system. The behavior of normalsuperconducting-normal structures at subgap energies is entirely different. In the tunneling limit non-local differential conductance of such systems are found to have an S-like shape and can turn negative at non-zero bias. At high transmissions crossed Andreev reflection yields positive noise cross-correlations and Coulomb anti-blockade of non-local electron transport.

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“…It is also used in [38] for estimating the regional propagation of COVID-19 in Italy and in [39] for recurrent forecasting in Europe.The Gompertz model was originally proposed to explain human mortality curves and has been further employed in the description of growth processes. Modeling the cumulative cases of Covid-19, it is used for COVID-19 forecast in [40] and [41]. This model was implemented in the European Hub Forecast initiative through the BIOCOMSC-Gompertz method [40] .…”

Section: Discussionmentioning

confidence: 99%

Learning from the past: a short term forecast method for the COVID-19 incidence curve

Morel

Álvarez

2022

Preprint

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The COVID-19 pandemy has created a radically new situation where most countries provide raw measurements of their daily incidence and disclose them in real time. This enables new machine learning forecast strategies where the prediction might no longer be based just on the past values of the current incidence curve, but could take advantage of observations in many countries. We present such a simple global machine learning procedure using all past daily incidence trend curves. Each of the 27,418 COVID-19 incidence trend curves in our database contains the values of 56 consecutive days extracted from observed incidence curves across 61 word regions and countries. Given a current incidence trend curve observed over the past four weeks, its forecast in the next four weeks is computed by matching it with the first four weeks of all samples, and ranking them by their similarity to the query curve. Then the 28 days forecast is obtained by a statistical estimation combining the values of the 28 last observed days in those similar samples. Using comparison performed by the European Covid-19 Forecast Hub with the current state of the art forecast methods, we verify that the proposed global learning method, EpiLearn, compares favorably to methods forecasting from a single past curve.

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Appendix D.

Cited by 5 publications

References 0 publications

Shot noise and Coulomb effects on nonlocal electron transport in normal-metal/superconductor/normal-metal heterostructures

Shot noise and Coulomb effects on nonlocal electron transport in normal-metal/superconductor/normal-metal heterostructures

Non-local electron transport and Coulomb effects in three-terminal metallic conductors

Learning from the past: a short term forecast method for the COVID-19 incidence curve

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