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  1. Article ; Online: An approximate diffusion process for environmental stochasticity in infectious disease transmission modelling.

    Sanmitra Ghosh / Paul J Birrell / Daniela De Angelis

    PLoS Computational Biology, Vol 19, Iss 5, p e

    2023  Volume 1011088

    Abstract: Modelling the transmission dynamics of an infectious disease is a complex task. Not only it is difficult to accurately model the inherent non-stationarity and heterogeneity of transmission, but it is nearly impossible to describe, mechanistically, ... ...

    Abstract Modelling the transmission dynamics of an infectious disease is a complex task. Not only it is difficult to accurately model the inherent non-stationarity and heterogeneity of transmission, but it is nearly impossible to describe, mechanistically, changes in extrinsic environmental factors including public behaviour and seasonal fluctuations. An elegant approach to capturing environmental stochasticity is to model the force of infection as a stochastic process. However, inference in this context requires solving a computationally expensive "missing data" problem, using data-augmentation techniques. We propose to model the time-varying transmission-potential as an approximate diffusion process using a path-wise series expansion of Brownian motion. This approximation replaces the "missing data" imputation step with the inference of the expansion coefficients: a simpler and computationally cheaper task. We illustrate the merit of this approach through three examples: modelling influenza using a canonical SIR model, capturing seasonality using a SIRS model, and the modelling of COVID-19 pandemic using a multi-type SEIR model.
    Keywords Biology (General) ; QH301-705.5
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Prokaryotic ncRNAs

    Rajib Majumder / Sanmitra Ghosh / Arpita Das / Manoj Kumar Singh / Saikat Samanta / Abinit Saha / Rudra P. Saha

    Current Research in Pharmacology and Drug Discovery, Vol 3, Iss , Pp 100136- (2022)

    Master regulators of gene expression

    2022  

    Abstract: ncRNA plays a very pivotal role in various biological activities ranging from gene regulation to controlling important developmental networks. It is imperative to note that this small molecule is not only present in all three domains of cellular life, ... ...

    Abstract ncRNA plays a very pivotal role in various biological activities ranging from gene regulation to controlling important developmental networks. It is imperative to note that this small molecule is not only present in all three domains of cellular life, but is an important modulator of gene regulation too in all these domains. In this review, we discussed various aspects of ncRNA biology, especially their role in bacteria. The last two decades of scientific research have proved that this molecule plays an important role in the modulation of various regulatory pathways in bacteria including the adaptive immune system and gene regulation. It is also very surprising to note that this small molecule is also employed in various processes related to the pathogenicity of virulent microorganisms.
    Keywords ncRNA ; Prokaryotic ncRNA ; Bacterial ncRNA ; ncRNA biology ; Gene regulation ; CRISPR ; Therapeutics. Pharmacology ; RM1-950
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Partner Selection and the Division of Surplus

    Priyodorshi Banerjee / Sujoy Chakravarty / Sanmitra Ghosh

    Games, Vol 7, Iss 1, p

    Evidence from Ultimatum and Dictator Experiments

    2016  Volume 3

    Abstract: We study ultimatum and dictator environments with one-way, unenforceable pre-play communication from the proposer to the recipient, semantically framed as a promise. After observing this promise regarding how much the proposer will offer if selected, in ... ...

    Abstract We study ultimatum and dictator environments with one-way, unenforceable pre-play communication from the proposer to the recipient, semantically framed as a promise. After observing this promise regarding how much the proposer will offer if selected, in our treatment conditions, recipients choose whether or not to select a particular proposer. We find that offers can increase in the ultimatum game both with non-competitive selection with a single potential proposer, and more so with competition, where the recipient chooses one of two potential proposers, as compared to the no selection baseline. Furthermore, the offer is rejected with higher probability if the promisemade by the selected proposer is higher than the eventual offer. Our dictator environment does not give the power to reject offers, thus selection power carries no benefits in the dictator game. Finally, independent of the game institution or proposer selection mechanism, promises provide credible signals for offers.
    Keywords dictator and ultimatum games ; non-binding communication with intent ; partner selection ; competing promises ; credibility and credulity ; C78 ; C91 ; D03 ; Technology ; T ; Social Sciences ; H
    Language English
    Publishing date 2016-01-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Drift removal in plant electrical signals via IIR filtering using wavelet energy

    Das, Saptarshi / Andrea Vitaletti / Barry Juans Ajiwibawa / Elisa Masi / Koushik Maharatna / Sanmitra Ghosh / Shre Kumar Chatterjee / Srinandan Dasmahapatra / Stefano Mancuso

    Computers and electronics in agriculture. 2015 Oct., v. 118

    2015  

    Abstract: Plant electrical signals often contains low frequency drifts with or without the application of external stimuli. Quantification of the randomness in plant signals in a stimulus-specific way is hindered because the knowledge of vital frequency ... ...

    Abstract Plant electrical signals often contains low frequency drifts with or without the application of external stimuli. Quantification of the randomness in plant signals in a stimulus-specific way is hindered because the knowledge of vital frequency information in the actual biological response is not known yet. Here we design an optimum Infinite Impulse Response (IIR) filter which removes the low frequency drifts and preserves the frequency spectrum corresponding to the random component of the unstimulated plant signals by bringing the bias due to unknown artifacts and drifts to a minimum. We use energy criteria of wavelet packet transform (WPT) for optimization based tuning of the IIR filter parameters. Such an optimum filter enforces that the energy distribution of the pre-stimulus parts in different experiments are almost overlapped but under different stimuli the distributions of the energy get changed. The reported research may popularize plant signal processing, as a separate field, besides other conventional bioelectrical signal processing paradigms.
    Keywords bioelectricity ; energy ; plant physiology ; wavelet
    Language English
    Dates of publication 2015-10
    Size p. 15-23.
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 395514-x
    ISSN 0168-1699
    ISSN 0168-1699
    DOI 10.1016/j.compag.2015.08.013
    Database NAL-Catalogue (AGRICOLA)

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