Wieder einmal ist der ISOCS Short Course Winter hier. Bei diesem iSOCS SCW 2024 treffen sich weltweit führende Experten vom 15. bis 19. Januar in Bormio, Italien, um in das faszinierende Gebiet der "CHEMISCHEN SENSORIK FÜR BIOMEDIZINISCHE ANWENDUNGEN: VOM KONZEPT NACHWEISEN BIS ZUM MEDIZINISCHEN GERÄT" einzutauchen.

Eigentlich ist dies nicht nur eine Gelegenheit, mehr über Instrumentelle Geruchsmesssysteme im Bereich biomedizinischer Geräte zu erfahren, sondern auch eine Chance, mit Freunden Ski zu fahren. Diese perfekte Kombination macht diese Kurse sowohl bereichernd als auch unterhaltsam.

 The National Science Foundation's (NSF) of the USA is launching its Convergence Accelerator annual research grants with the collaboration of two Swedish research agencies. This year is, however, special because there will be funds for projects related to Real-World Chemical Sensing Applications for the first time. Many funds, up to 750.000 dollars for 48 projects.

   This grant is offered to projects related to tools, technologies, and applications to address challenges in chemical sensing. In particular, this grant is focused on the following topics:

   Water resources recovery facilities (WRRFs) are sources of direct emissions of greenhouse gases (GHGs) and volatile organic compounds (VOCs) produced by biological processes and indirect GHG emissions due to the energy consumed to operate the plant. The direct emissions also contribute to odour issues of WRRFs. Aeration of the biological tanks accounts for 50-60% of the total energy consumption of a WRRF and is therefore the major source of indirect GHG emissions.

   The optimized management of oxidation processes is consequently associated with environmental and economic benefits. The innovative solution proposed in this study consists of an automated self-moving prototype (LESSDRONE) for real-time monitoring of oxygen transfer efficiency (OTE) and of GHG emissions from the aerated tanks during operation, and a protocol for converting LESSDRONE measures and specific WRRF data into actions aimed at minimizing carbon footprint (CF) and energy demand.

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