The Health-e-Waterways Project: Data Integration for Smarter Collaborative Whole-of-Water Cycle Management

The Health-e-Waterways Project is a collaboration between the University of Queensland, Microsoft Research and the South East Queensland Healthy Waterways Partnership (SEQ-HWP) (a consortium of over 60 local government, state agency, universities, community and environmental organizations). The aim of the project is to develop a highly innovative framework and set of services to enable streamlined access to a collection of real-time, near-real-time and static datasets acquired through ecosystem health monitoring programs (EHMP) in South East Queensland. This paper describes the underlying water information management system and Web Portal that we are developing to enable the sharing and integration of the high quality data and models for SEQ water resource managers. In addition we will describe the interactive and dynamic ecosystem reporting services that we have developed and the WaterWiki that is being established to enable knowledge exchange between the online community of Queensland’s water stakeholders

Importance of access to epilepsy monitoring units during the COVID-19 pandemic: Consensus statement of the International League against epilepsy and the International Federation of Clinical Neurophysiology

Restructuring of healthcare services during the COVID-19 pandemic has led to lockdown of Epilepsy Monitoring Units (EMUs) in many hospitals. The ad-hoc taskforce of the International League Against Epilepsy (ILAE) and the International Federation of Clinical Neurophysiology (IFCN) highlights the detrimental effect of postponing video-EEG monitoring of patients with epilepsy and other paroxysmal events. The taskforce calls for action to continue functioning of Epilepsy Monitoring Units during emergency situations, such as the COVID-19 pandemic. Long-term video-EEG monitoring is an essential diagnostic service. Access to video-EEG monitoring of the patients in the EMUs must be given high priority. Patients should be screened for COVID-19, before admission, according to the local regulations. Local policies for COVID-19 infection control should be adhered to during the video-EEG monitoring. In cases of differential diagnosis where reduction of antiseizure medication is not required, consider home video-EEG monitoring as an alternative in selected patients

Citizen science for observing and understanding the Earth

Citizen Science, or the participation of non-professional scientists in a scientific project, has a long history—in many ways, the modern scientific revolution is thanks to the effort of citizen scientists. Like science itself, citizen science is influenced by technological and societal advances, such as the rapid increase in levels of education during the latter part of the twentieth century, or the very recent growth of the bidirectional social web (Web 2.0), cloud services and smartphones. These transitions have ushered in, over the past decade, a rapid growth in the involvement of many millions of people in data collection and analysis of information as part of scientific projects. This chapter provides an overview of the field of citizen science and its contribution to the observation of the Earth, often not through remote sensing but a much closer relationship with the local environment. The chapter suggests that, together with remote Earth Observations, citizen science can play a critical role in understanding and addressing local and global challenges

Ontology-based correlation of resource management actions with water quality data in South East Queensland

This paper describes the ontology-based information management system “Health-e- Waterways” that has been developed to link over 500 management actions to the environmental monitoring data being acquired through the SEQ HWP’s Ecosystem Health Monitoring Program. We describe the ontology that has been developed to link area-based Action Plans to specific regions, indicators and parameters. We also describe the Bing Maps/GoogleEarth interface that combines ontology-based querying with spatio-temporal querying to integrate the heterogeneous monitoring and management databases and visualize spatial and temporal trends in water quality. The ability to display Management Actions alongside related Ecosystem Health Indicators for a given catchment, enables policy makers to easily identify the impact of specific actions and investments and to adapt them accordingly. The ontology-based approach also enables the application of semantic and spatio-temporal inferencing to infer the flow-on effects of actions on sites that are downstream

Comparison of applying sleep mode function to the smart wireless environmental sensing stations for extending the life time

This paper has reported the design of smart wireless environmental sensor station by interfacing the environmental sensors directly to the zigbee module and performs analogue-to-digital conversion through it. Then the API data packets command were used to transmit the ADC values of the sensors to the coordinator, whereas the AT data packets commands were used to monitoring the environmental conditions through sensor station based on the user's environmental specification limits.6 page(s

Acute Bilateral Ophthalmoplegia Due to Vertebrobasilar Dolichoectasia: A Report of Two Cases

Case series Patient: Male, 52 • Female, 68 Final Diagnosis: VBD Symptoms: Ophthalmoplegia Medication: — Clinical Procedure: — Specialty: Neurolog