The advancement of e-learning technologies has made it viable for developments in education and technology to be combined in order to fulfil educational needs worldwide. E-learning consists of informal learning approaches and emerging technologies to support the delivery of learning skills, materials, collaboration and knowledge sharing. E-learning is a holistic approach that covers a wide range of courses, technologies and infrastructures to provide an effective learning environment. The Learning Management System (LMS) is the core of the entire e-learning process along with technology, content, and services. This paper investigates the role of model-driven personalisation support modalities in providing enhanced levels of learning and trusted assimilation in an e-learning delivery context. We present an analysis of the impact of an integrated learning path that an e-learning system may employ to track activities and evaluate the performance of learners.
Reconfiguring health services to reduce the workload of caregivers during the COVID-19 outbreak using an open-source scalable platform for remote digital monitoring and coordination of care in hospital Command Centres
Data Lakes, Clouds and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data
Data Commons利用云计算基础设施和常用的软件服务、工具和应用程序整理数据，以创建生物医学资源，用于大规模管理、分析、协调和共享生物医学数据。在过去的几年中，数据共享已被用于分析，协调和共享大规模基因组数据集。数据生态系统可以通过互操作多个数据共享来构建。在数据共享中管理、导入和分析数据可能是相当劳动密集型的。数据湖提供了一种数据共享的替代方案，只是提供对数据的访问，数据管理和分析推迟到以后，并委托给那些访问数据的人。我们回顾了用于管理、分析和共享基因组数据的软件平台，重点是数据共享，但也涵盖了数据生态系统和数据湖。
