JOINT IMPACTS OF THERAPY DURATION, DRUG EFFICACY AND TIME LAG IN IMMUNE EXPANSION ON IMMUNITY BOOSTING BY ANTIVIRAL THERAPY

2017 ◽  
Vol 25 (01) ◽  
pp. 105-117
Author(s):  
HONGYING SHU ◽  
LIN WANG

Antiviral drug therapy that targets on boosting virus-specific immune response has become very promising in controlling the virus, especially when completely eradicating the virus from the host turns out to be difficult. Using a concrete viral infection model that incorporates the time lag needed for the expansion of immune cells, we numerically explored the joint impacts of the duration of therapy, the efficacy of the drugs and the time lag in immune expansion on immunity boosting for a single phase of therapy. Our findings reveal that a single phase of therapy can establish sustained immunity if the therapy is stopped in a suitable range of timing and large time lag in the expansion of immune cells and too strong or too weak therapy would lead to a failure in immunity boosting. Our findings may provide some insights on designing efficient and rational therapy strategies in boosting sustained immunity.

Author(s):  
Yishay D. Maoz

The effect that investment lags have on the uncertainty-investment relationship is studied by modifying the Bar-Ilan and Strange (1996) model to enable an analytical solution. The following results emerge: (i) If the time lag is sufficiently small, uncertainty affects investment negatively; (ii) A sufficiently large time lag gives rise to an inverse U-shape uncertainty-investment relationship; (iii) When such an inverse U-shape exists, the longer the time lag (or the larger the degree of profit convexity), the wider the range of a positive uncertainty-investment relationship.


2014 ◽  
Vol 21 (5) ◽  
pp. 929-937 ◽  
Author(s):  
E. A. Martin ◽  
J. Davidsen

Abstract. Dynamical networks – networks inferred from multivariate time series – have been widely applied to climate data and beyond, resulting in new insights into the underlying dynamics. However, these inferred networks can suffer from biases that need to be accounted for to properly interpret the results. Here, we report on a previously unrecognized bias in the estimate of time delays between nodes in dynamical networks inferred from cross-correlations, a method often used. This bias results in the maximum correlation occurring disproportionately often at large time lags. This is of particular concern in dynamical networks where the large number of possible links necessitates finding the correct time lag in an automated way. We show that this bias can arise due to the similarity of the estimator to a random walk, and are able to map them to each other explicitly for some cases. For the random walk there is an analytical solution for the bias that is closely related to the famous Lévy arcsine distribution, which provides an upper bound in many other cases. Finally, we show that estimating the cross-correlation in frequency space effectively eliminates this bias. Reanalysing large lag links (from a climate network) with this method results in a distribution peaked near zero instead, as well as additional peaks at the originally assigned lag. Links that are reassigned smaller time lags tend to have a smaller distance between them, which indicates that the new time delays are physically reasonable.


2016 ◽  
Vol 4 ◽  
pp. 435-445 ◽  
Author(s):  
Marouane Mahrouf ◽  
El Mehdi Lotfi ◽  
Mehdi Maziane ◽  
Khalid Hattaf ◽  
Noura Yousfi

Author(s):  
Ольга Мезенцева ◽  
Olga Mezentseva ◽  
Юрий Удодов ◽  
Yurii Udodov

<p>The article analyzes the facial dissimilarity of bryozoans of the Emsian Stage near the town of Gyr’evsk. The bryozoans associations have been found in all types of facies, except the sand-mudstone one. In the littoral facies (bioclastic limestones with subordinate sand-mud-siltstones rock) the bryozoans are represented by the orders of <em>Trepostomida, Fenestellida, Cryptostomida, Cystoporida</em>, but treposomides predominate (63 % of the total number of species). After the littoral facies turn into the facies of the open lagoon (mudstones with subordinate limestones), only trepostomides are represented in the Emsian section, near the boundary, forming the Briozoan interbeds. Briozoan interbeds consist of the fragments of Neotrematopora salairiensis colonies. The restoration of species and genus diversity in new facies occurs relatively quickly. In comparison with trepostomides, representatives of other orders appear with a large time-lag. Under the conditions of an open lagoon, bryozoans are characterized mainly by branched bifoliate colonies. In the slope facies (bedded limestones), characterized by greater depths and low hydrodynamics, fennestellids dominate (58 % of the total number of species). Trepostomides and cystoporides in these facies are represented by species with thick-branched and massive branched colonies. When the facies of bedded limestones change to sandy-mudstones (the beginning of the regression), the fenestellids also form Briozoan interbeds near the boundary. In the lateral rows of the facies of a single stratigraphic unit, several facial associations of bryozoans are often found. The species of bryozoans characteristic of this stratigraphic level are present in all associations. The unity of the Emsian complex of bryozoans is expressed in the gradual change of their associations upwards the section (three Briozoanbiostratigraphic Zones have been <span>identified).</span></p>


2021 ◽  
Vol 3 (1) ◽  
pp. 1-12
Author(s):  
Muhammad Mikail Athif Zhafir Asyura ◽  
Ahmad Fauzi ◽  
Fakhru Adlan Ayub

Introduction: Dengue Virus (DENV) is the pathogen for human dengue fever and is responsible for 390 million infections per year. The viral genome produces about 10 viral protein products, one of them being NS1. The NS1 protein plays a key role in viral replication and stimulation of humoral immune cells, thus being the perfect candidate to create an effective antiviral drug or vaccine for dengue Methods: Dengue Virus (DENV) is the pathogen for human dengue fever and is responsible for 390 million infections per year. The viral genome produces about 10 viral protein products, one of them being NS1. The NS1 protein plays a key role in viral replication and stimulation of humoral immune cells, thus being the perfect candidate to create an effective antiviral drug or vaccine for dengue Conclusion: The review established promising results of using peptide-based intervention on NS1. Further in vivo and randomized controlled trials are advised to solidify the applicability and biosafety of the intervention    


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