Rapid Response Real-Time Chemical Monitoring: A Solution for the Field

2020 ◽  
Author(s):  
Kirsty MacKinnon ◽  
Gordon Graham ◽  
Nicole Jordan ◽  
Stephnie Peat ◽  
David Nichols
Keyword(s):  
Real Time ◽  
Rapid Response ◽  
Chemical Monitoring

Rapid response to amine vapor based on fluorescent light-up sensor for real-time and visual detection of crawfish and fish freshness

2021 ◽  
Vol 189 ◽  
pp. 109228
Author(s):  
Chenxia Wang ◽  
Zian Yu ◽  
Xiaowei Zhao ◽  
Hongguang Lu ◽  
Qiusheng Wang
Keyword(s):  
Real Time ◽  
Visual Detection ◽  
Rapid Response ◽  
Fluorescent Light

Wildfires increasingly impact rivers and water supplies

2021 ◽  
Author(s):  
Ashley Webb
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Citizen Science ◽  
Water Monitoring ◽  
Rapid Response ◽  
River Systems ◽  
Water Supplies ◽  
Changing Climate

Wildfires are increasing in frequency, severity, duration and extent with potentially catastrophic impacts on river systems and water supplies. Scientists are quantifying these impacts and studying the underlying factors driving the susceptibility of landscapes to post-fire erosion in a changing climate. Recommended actions include: (1) rapid response water monitoring during and after fires, (2) citizen science and (3) machine learning to provide communities with data and predicted impacts in near real-time.

Multilingual Crisis Knowledge Representation

2011 ◽  
pp. 85-95
Author(s):  
Aviv Segev
Keyword(s):  
Knowledge Representation ◽  
Emergency Management ◽  
Real Time ◽  
Rapid Response ◽  
Ontology Modeling ◽  
Management Factors ◽  
Relief Efforts ◽  
Time Limitations ◽  
Communication Methods ◽  
Crisis Situations

In a crisis, the problem of the lack of a shared platform or similar communication methods among the collaborators usually arises within a few hours. While a crisis requires rapid response of emergency management factors, ontology is generally represented in a static manner. Therefore, an adaptive ontology for crisis knowledge representation is needed to assist in coordinating relief efforts in different crisis situations. This chapter describes a method of ontology modeling that modifies the ontology in real time during a crisis according to the crisis surroundings. The method is based on modeling a basic predefined multilingual ontology while allowing the expansion of the ontology according to the crisis circumstances and the addition of other languages within the crisis time limitations. An example of ontology use based on a sample Katrina crisis blog is presented. Motivation for multilingual ontology use is supplied by the Boxing Day tsunami crisis.

scholarly journals Implementation of a Formal Debriefing Program After Pediatric Rapid Response Team Activations

2018 ◽  
Vol 10 (2) ◽  
pp. 203-208 ◽  
Author(s):  
Linda Aponte-Patel ◽  
Arash Salavitabar ◽  
Pamela Fazzio ◽  
Andrew S. Geneslaw ◽  
Pamela Good ◽  
...  
Keyword(s):  
Intensive Care ◽  
Real Time ◽  
Health Professionals ◽  
Tertiary Care ◽  
Rapid Response Team ◽  
Rapid Response ◽  
Staff Attitudes ◽  
Learning Opportunity ◽  
Respiratory Therapists ◽  
Response Team

ABSTRACT Background  Debriefing after pediatric rapid response team activations (RRT-As) in a tertiary care children's hospital was identified to occur only sporadically. The lack of routine debriefing after RRT-As was identified as a missed learning opportunity. Objective  We implemented a formal debriefing program and assessed staff attitudes toward and experiences with debriefing after pediatric RRT-As. Methods  Real-time feedback for pediatrics residents captured clinical and debriefing data for each RRT-A from July 2014 to June 2016. The debriefing on physiology, team communication, and anticipation of clinical deterioration was introduced in July 2015. To assess debriefing perceptions, residents, intensive care fellows, nurses, and respiratory therapists participated in anonymous preintervention and postintervention surveys. We also developed a workshop to teach residents how to lead debriefing. Results  Debriefing after RRT-As increased from 26% preintervention to 46% postintervention (P < .0001). A total of 43 of 76 pediatrics residents (57%) attended at least 1 of 4 debriefing workshops. Both preintervention and postintervention, more than 80% (70 of 78 preintervention and 54 of 65 postintervention) of health professionals surveyed strongly agreed or agreed that there was a benefit to debriefing after RRT-As. Postintervention, 65% (26 of 40) of respondents strongly agreed or agreed that debriefing improved their understanding of the RRT-A process. The rate of debriefing was sustained at 46% (6 months after the end of the study period). Conclusions  Debriefing frequency after pediatric RRT-As significantly increased with the introduction of a formal debriefing program. A majority of health professionals and trainees reported this practice was a valuable experience.

Real-time risk assessment in seismic early warning and rapid response: a feasibility study in Bishkek (Kyrgyzstan)

2012 ◽  
Vol 17 (2) ◽  
pp. 485-505 ◽  
Author(s):  
M. Picozzi ◽  
D. Bindi ◽  
M. Pittore ◽  
K. Kieling ◽  
S. Parolai
Keyword(s):  
Risk Assessment ◽  
Real Time ◽  
Feasibility Study ◽  
Early Warning ◽  
Rapid Response ◽  
Seismic Early Warning

Ultrathin g-C3N4/TiO2composites as photoelectrochemical elements for the real-time evaluation of global antioxidant capacity

2014 ◽  
Vol 5 (10) ◽  
pp. 3946-3951 ◽  
Author(s):  
Weiguang Ma ◽  
Dongxue Han ◽  
Min Zhou ◽  
Hao Sun ◽  
Lingnan Wang ◽  
...  
Keyword(s):  
Antioxidant Capacity ◽  
Real Time ◽  
Rapid Response ◽  
The Real ◽  
Time Evaluation

Using utg-C3N4/TiO2, a photoelectrochemical platform was designed for the sensing of global antioxidant capacity, which presented a rapid response, and anti-fouling and colour-interference-proof properties.

scholarly journals A randomized trial of real-time automated clinical deterioration alerts sent to a rapid response team

2014 ◽  
Vol 9 (7) ◽  
pp. 424-429 ◽  
Author(s):  
Marin H. Kollef ◽  
Yixin Chen ◽  
Kevin Heard ◽  
Gina N. LaRossa ◽  
Chenyang Lu ◽  
...  
Keyword(s):  
Randomized Trial ◽  
Real Time ◽  
Rapid Response Team ◽  
Rapid Response ◽  
Clinical Deterioration ◽  
Response Team
Sign in / Sign up

Export Citation Format

Share Document