Data filtering methods for SARS-CoV-2 wastewater surveillance [PDF]
Water Sci Technol; 84 (6): 1324 - 1339 (2001), 2021 In the case of SARS-CoV-2 pandemic management, wastewater-based epidemiology aims to derive information on the infection dynamics by monitoring virus concentrations in the wastewater. However, due to the intrinsic random fluctuations of the viral signal in the wastewater (due to e.g., dilution; transport and fate processes in sewer system; variation in
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Mathematical model of plant-virus interactions mediated by RNA interference [PDF]
J. Theor. Biol. 403, 129-142 (2016), 2016 Cross-protection, which refers to a process whereby artificially inoculating a plant with a mild strain provides protection against a more aggressive isolate of the virus, is known to be an effective tool of disease control in plants. In this paper we derive and analyse a new mathematical model of the interactions between two competing viruses with ...
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Harmonic Oscillators of Mathematical Biology: Many Faces of a Predator-Prey Model [PDF]
, 2022 We show that a number of models in virus dynamics, epidemiology and plant biology can be presented as ``damped" versions of the Lotka-Volterra predator-prey model, by analogy to the damped harmonic oscillator. The analogy deepens with the use of Lyapunov functions, which allow us to characterize their dynamics and even make some estimates.
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Application of Machine Learning in understanding plant virus pathogenesis: Trends and perspectives on emergence, diagnosis, host-virus interplay and management [PDF]
arXiv, 2021 Inclusion of high throughput technologies in the field of biology has generated massive amounts of biological data in the recent years. Now, transforming these huge volumes of data into knowledge is the primary challenge in computational biology. The traditional methods of data analysis have failed to carry out the task.
arxiv
Electrostatic theory of the acidity of the solution in the lumina of viruses and virus-like particles [PDF]
arXiv, 2023 Recently, Maassen et al. measured an appreciable pH difference between the bulk solution and the solution in the lumen of virus-like particles, self-assembled in an aqueous buffer solution containing the coat proteins of a simple plant virus and polyanions. [Maassen, S. J.; et al.
arxiv
Plant Disease Detection using Region-Based Convolutional Neural Network [PDF]
arXiv, 2023 Agriculture plays an important role in the food and economy of Bangladesh. The rapid growth of population over the years also has increased the demand for food production. One of the major reasons behind low crop production is numerous bacteria, virus and fungal plant diseases.
arxiv
Measuring 3D tree imbalance of plant models using graph-theoretical approaches [PDF]
arXiv, 2023 Imbalance in the 3D structure of plants can be an important indicator of insufficient light or nutrient supply, as well as excessive wind, (formerly present) physical barriers, neighbor or storm damage. It can also be a simple means to detect certain illnesses, since some diseases like the apple proliferation disease, an infection with the barley ...
arxiv
No two without three: Modelling dynamics of the trio RNA virus-defective interfering genomes-RNA satellite [PDF]
arXiv, 2023 Almost all viruses, regardless of their genomic material, produce defective viral genomes (DVG) as an unavoidable byproduct of their error-prone replication. Defective interfering (DI) elements are a subgroup of DVGs that have been shown to interfere with the replication of the wild-type (WT) virus.
arxiv
Structural transitions and energy landscape for Cowpea Chlorotic Mottle Virus capsid mechanics from nanomanipulation in vitro and in silico [PDF]
Biophys. J. 2013 Oct 15;105(8):1893-1903, 2015 Physical properties of capsids of plant and animal viruses are important factors in capsid self-assembly, survival of viruses in the extracellular environment, and their cell infectivity. Virus shells can have applications as nanocontainers and delivery vehicles in biotechnology and medicine.
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Using Transfer Learning for Image-Based Cassava Disease Detection [PDF]
Frontiers in Plant Science 2017 vol. 8 p. 1852, 2017 Cassava is the third largest source of carbohydrates for human food in the world but is vulnerable to virus diseases, which threaten to destabilize food security in sub-Saharan Africa. Novel methods of cassava disease detection are needed to support improved control which will prevent this crisis.
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