Personalized Virus Load Curves of SARS-CoV-2 Infection

We introduce an explicit function that describes virus-load curves on a patient-specific level. This function is based on simple and intuitive model parameters. It allows virus load analysis without solving a full virus load dynamic model. We validate our model on data from influenza A as well as SARS-CoV-2 infection data for Macaque monkeys and humans. Further, we compare the virus load function to an established target model of virus dynamics, which shows an excellent fit. Our virus-load function offers a new way to analyse patient virus load data, and it can be used as input to higher level models for the physiological effects of a virus infection, for models of tissue damage, and to estimate patient risks.

Personalized Virus Load Curves of SARS-CoV-2 Infection

We introduce an explicit function that describes virus-load curves on a patient-specific level. This function is based on simple and intuitive model parameters. It allows virus load analysis without solving a full virus load dynamic model. We validate our model on data from influenza A as well as SARS-CoV-2 infection data for Macaque monkeys and humans. Further, we compare the virus load function to an established target model of virus dynamics, which shows an excellent fit. Our virus-load function offers a new way to analyse patient virus load data, and it can be used as input to higher level models for the physiological effects of a virus infection, for models of tissue damage, and to estimate patient risks.

Implementing Supervised Approach to Summarization of Research Papers

Using automatic text summarization we can reduce a document to its main information or to what is known as crux of the document .Recent research in this zone has zeroed in on neural ways to deal with summarisation, which can be very data hungry. This paper aims to explore a quicker way by implementing a supervised-learning based extractive summarisation system for the summarisation of research papers. This paper also explores the possibility of any section, in a research paper being the prime section to generate summaries by utilizing ROUGE scores. An easy to implement and intuitive model is developed using glove embeddings and doc2vec to encode sentences and documents in their local and global context producing grammatically coherent summaries.

Selfdetermination in philosophy and factical life. Some considerations about an early Heidegger lecture

The main focus of this article is the methodological problem of the selfdetermination of the philosophy according to the phenomenological analysis carried out by Heidegger in one of the lectures of his early period (the so called Früh Freiburger Vorlesungen). The general frame of the current paper implies a hermeneutical thesis according to which the relevance of the well-known “factical life” is not solely thematic but mainly methodological. This function explains why these “phenomenological exercises” are some sort of genetical enquiries. In consequence, the specific aim of this article is, on the one hand, to show that the problem of the selfdetermination of the philosophy is the document of the more basic problem of the possibility of access to the intentional structures as such. On the other hand, this implies that the facticity as the primary horizon of comprehension constitutes in deed a redrawing of the intentional structure, in such a way that it is avoided the paradoxical consequences of the reflexive-intuitive model of access to one self and makes a relevant issue to the philosophy the problematic character of the intentionality itself.