Evidence of natural selection and dominance of SARS-CoV-2 variant Lambda (C.37) over variants of concern in Cusco, Peru.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineage C.37 (Lambda) has spread rapidly in Peru and other Latin American countries. However, most studies in Peru have focused on Lima, the capital city, without knowing the dynamics of the spread of the variant in other departments.

Generation of reusable learning objects from digital medical collections: An analysis based on the MASMDOA framework.

Learning Objects represent a widespread approach to structuring instructional materials in a large variety of educational contexts. The main aim of this work consists of analyzing the process of generating reusable learning objects followed by , a tool that can be used to retrieve data from multiple medical knowledge sources and reconfigure such sources in diverse multimedia-based structures and organizations. From these organizations, is able to generate learning objects that can be adapted to various instructional healthcare scenarios with several types of user profiles and distinct learning requirements.

Intermediate-Salinity Systems at High Altitudes in the Peruvian Andes Unveil a High Diversity and Abundance of Bacteria and Viruses.

Intermediate-salinity environments are distributed around the world. Here, we present a snapshot characterization of two Peruvian thalassohaline environments at high altitude, Maras and Acos, which provide an excellent opportunity to increase our understanding of these ecosystems. The main goal of this study was to assess the structure and functional diversity of the communities of microorganisms in an intermediate-salinity environment, and we used a metagenomic shotgun approach for this analysis.

Generation of Standardized E-Learning Content from Digital Medical Collections.

In this paper, we describe a new approach to generating standardized e-Learning content from existing medical collections. The core of this approach is a tool called Clavy, which makes it possible to retrieve information items from medical collections, to transform these items into meaningful learning units, and to export them in the form of standardized e-Learning packages. In addition to describing the approach, we assess its feasibility by applying it to the generation of IMS Content Packages from MedPix, an online database of medical cases in the domain of radiology.