STAMINA: Bioinformatics Platform for Monitoring and Mitigating Pandemic Outbreaks

Data Availability Statement: All data driven applications used the our world in data COVID-19 datasets, complimented by proprietary datasets share by the STAMINA consortium.Copyright © 2022 by the authors. This paper presents the components and integrated outcome of a system that aims to achieve early detection, monitoring and mitigation of pandemic outbreaks. The architecture of the platform aims at providing a number of pandemic-response-related services, on a modular basis, that allows for the easy customization of the platform to address user’s needs per case. This customization is achieved through its ability to deploy only the necessary, loosely coupled services and tools for each case, and by providing a common authentication, data storage and data exchange infrastructure. This way, the platform can provide the necessary services without the burden of additional services that are not of use in the current deployment (e.g., predictive models for pathogens that are not endemic to the deployment area). All the decisions taken for the communication and integration of the tools that compose the platform adhere to this basic principle. The tools presented here as well as their integration is part of the project STAMINA.The paper presented is based on research undertaken as part of the European Commission-funded project STAMINA (Grant Agreement 883441)

Full-scale laboratory validation of a MEMS-based technology for post-earthquake damage assessment

In this work a new generation of long-term monitoring system, named Memscon, is presented. The Memscon system consists of a set of sensor nodes using custom-developed capacitive MEMS strain and acceleration sensors, a low power wireless network architecture and a low power readout ASIC for a battery life of up to 10 years. The aim of the system is to provide the user information about the safety of reinforced concrete buildings while in service or after a seismic event. After outlining the monitoring system operation principles at both unit and network levels, this paper reports on a validation campaign conducted under laboratory condition on a fullscale reinforced concrete three dimensional frame, instrumented with Memscon technology, undergoing a seismic-like event up to extensive damage and collapse. Finally, a comparison between the performance of Memscon technology and the performance of different tethered measurements system assumed as reference is reported

VR, HF and rule-based technologies applied and combined for improving industrial safety

Industrial safety can be regarded as a major issue of industrial environments nowadays. This is why industries are currently spending huge amounts of resources to improve safety in all levels by reducing risks of causing damages to equipment, human injuries or even fatalities. This paper describes how Virtual Reality, Human Factors and Rule-based technologies are used in the framework of the VIRTHUALIS Integrated Project towards industrial training, safety management and accident investigation. The paper focuses mainly on the VR system specification and basic modules, while at the same time it presents the main system modules that synthesize the tool as a whole