Library of Coastal Vulnerability Indicators guidance document

The Resilience-Increasing Strategies for Coasts – Toolkit (RISC-KIT) FP7 EU project (2013-2017) aims to produce a set of three innovative and EU-coherent open-source and open-access methods, tools and management approaches (the RISC-KIT) in support of coastal managers, decision-makers and policy makers to reduce risk and increase resilience to low-frequency, high impact hydro-meteorological events. Risk is defined within this project as the product of the probability of a hazard, the exposure of receptors and their vulnerability. Representing the vulnerability and the potential role of DRR in their reduction is crucial for supporting the decision. As such a specific task of the RISC-KIT project (Task 2.2) is dedicated to developing a Library of Vulnerability Indicators to input in the RISC-KIT Toolkit and to test the tools on 11 case studies. The deliverable “Coastal Vulnerability Indicator Library” is composed of a Microsoft Excel database and a guidance document. The deliverable introduces the necessary concepts and methods, provides a review and a collection of existing indicators and proposes methodologies for developing new indicators. The Library has been constructed around four categories: Built Environment, Population, Ecosystem and Systems. The Library also identifies Disaster Reduction Measures influencing vulnerability and proposes methods to include within the assessment of vulnerability

Reduction of Common Mode Noise and Global Multivalued Offset in Touch Screen Systems by Correlated Double Sampling

Touch-based interactivity has become an important function in displays. This paper reports on the signal processing of touch signals in which touch interactivity is processed as an image, and correlated double sampling (CDS) algorithm is applied for both common-mode noise reduction and global multivalued offset cancellation. Based on experimental results, we achieved a boost in SNR of 7.6 dB. The processed signal reduces detection errors and power consumption of the system

Coastal risk assessment framework guidance document

The Resilience-Increasing Strategies for Coasts – Toolkit (RISC-KIT) FP7 EU project (2013-2017) aims to produce a set of three innovative and EU-coherent open-source and open-access methods, tools and management approaches (the RISC-KIT) in support of coastal managers, decision-makers and policy makers to reduce risk and increase resilience to low-frequency, high impact hydro-meteorological events. The Coastal Risk Assessment Framework (CRAF) is the first element of the risk assessment suite applied at a regional scale and permits a comprehensive and systematic approach to undertaking risk assessment at a variety of levels of detail. In particular, the approach reveals potential hotspots along the coasts. Hotspots are defined in the Toolkit as specific locations where high-resolution modelling and risk assessment are required to assess the coastal risk and to design and compare disaster risk reduction measures. As such, hotspots, or groups of hotspots, should be indicative of those areas where risk is highest. To do so the CRAF consists of a 2-phase approach, Phase 1 is a coastal-index approach to identifying potential hotspots, whereas Phase 2 utilises a suite of more complex modelling processes to rank these hotpots. The coastal INtegrated DisRuption Assessment model (INDRA) has specifically been developed as an open-source and open-access model for this purpose. This document provides guidance to CRAF users on both approaches, as well as explanations on the proposed methodologies. The CRAF is a prototype and will be trialled on the RISC-KIT case studies (WP5). Limitations in its application, the potential for a full application and the needs for further development will be discussed in Deliverable 5.1

Reduction of Noise Spikes in Touch Screen Systems by Low Pass Spatial Filtering

This paper reports on a low-pass spatial filtering technique for reduction of noise spikes in capacitive touch screen panels. Filter bandwidth is adjusted by dynamically evaluating attenuation of signal and noise spikes. Based on the experimental results, we boost the signal-to-noise ratio by 15.6 dB and attenuate noise spikes by 19.25 dB. The processed signal yields higher detection accuracy and lower power consumption

High-speed optical mapping of heart and brain voltage activities in zebrafish larvae exposed to environmental contaminants

Data availability: Data will be made available on request.Supplementary data are available online at https://www.sciencedirect.com/science/article/pii/S235218642300192X?via%3Dihub#appSB .Copyright © 2023 The Author(s). Environmental contaminants represent a poorly understood ecotoxicological and health risk. Here, we advanced a high-speed optical mapping (OM) technique to non-invasively track voltage dynamics in living zebrafish larvae’s heart and brain and investigate the effects of selected pesticides. OM allowed high resolution ( 17x) and fast acquisition (100 to 200 frames/s) of the voltage signal generated in the heart and brain after immersion of the zebrafish larvae in a voltage-sensitive dye. First, we used varying temperatures (20 °C to 25 °C) to test the adequacy of OM in capturing cardiac and brain voltage changes. Then, we tested the effects of glyphosate or a selected pesticide cocktail (2 to 120 h post-fertilization), accounting for their environmental thresholds and mimicking high-level exposure. Glyphosate (0.1 and 1000 g/L) and the pesticide cocktail (0.1 and 10 g/L) did not alter cardiac activity, except for a trend increase in heart rate variability at high glyphosate dose. Fourier transform (FT) analyses indicated that glyphosate reduced the abundance of low-amplitude voltage activities in the brain at the target low-frequency range of 0.2–15 Hz. The anatomical fragmentation of the brain into four regions, right and left diencephalon (RD and LD) and right and left optic tectum (ROT and LOT), confirmed the impact of glyphosate on the larvae brain and revealed a specific adaptation to the pesticide cocktail in the RD and ROT regions. In summary, OM captured heart and brain voltage changes in zebrafish larvae, with discrete patterns of brain depolarization in the presence of specific water contaminants. Here we discuss the relevance of these findings to ecotoxicology and exposome research.This work was supported by ANR-Hepatobrain and Epidimicmac ANSES to NM, and “Soutien à la Recherche 2021” of the University of Montpellier and Fondation pour la Recherche sur le Cerveau, France: Espoir en tête 2022/23 to AGT. Partially funded by OptoFish ANSES, ANR-EpiCatcher, ANR/Era-Net Neu-Vasc to NM and the Fondation pour la Recherche Médicale, France (FRM, grant DPC2017 to M.E.M)

Reduction of Common Mode Noise and Global Multivalued Offset in Touch Screen Systems by Correlated Double Sampling

Touch-based interactivity has become an important function in displays. This paper reports on the signal processing of touch signals in which touch interactivity is processed as an image, and correlated double sampling (CDS) algorithm is applied for both common-mode noise reduction and global multivalued offset cancellation. Based on experimental results, we achieved a boost in SNR of 7.6 dB. The processed signal reduces detection errors and power consumption of the system

Library of Coastal Vulnerability Indicators

The Resilience-Increasing Strategies for Coasts – Toolkit (RISC-KIT) FP7 EU project (2013-2017) aims to produce a set of three innovative and EU-coherent open-source and open-access methods, tools and management approaches (the RISC-KIT) in support of coastal managers, decision-makers and policy makers to reduce risk and increase resilience to low-frequency, high impact hydro-meteorological events. Risk is defined within this project as the product of the probability of a hazard, the exposure of receptors and their vulnerability. Representing the vulnerability and the potential role of DRR in their reduction is crucial for supporting the decision. As such a specific task of the RISC-KIT project (Task 2.2) is dedicated to developing a Library of Vulnerability Indicators to input in the RISC-KIT Toolkit and to test the tools on 11 case studies. The deliverable “Coastal Vulnerability Indicator Library” is composed of a Microsoft Excel database and a guidance document. The deliverable introduces the necessary concepts and methods, provides a review and a collection of existing indicators and proposes methodologies for developing new indicators. The Library has been constructed around four categories: Built Environment, Population, Ecosystem and Systems. The Library also identifies Disaster Reduction Measures influencing vulnerability and proposes methods to include within the assessment of vulnerability