Digitalgaesation

Phycobilisomes are a structurally and functionally diverse family of light harvesting complexes, that binds open-chain tetrapyrroles known as bilins with the aim of absorbing photons and funneling excitation energy to photosystems, mainly photosystem II in cyanobacteria. The extreme variability in size, arrangement and absorbance profile deeply reflects the evolutionary adaptation of this family of antenna complexes to a number of ecological niches. Read more: https://digitalgaesation.eu/cryoem-structure-of-a-red-shifted-antenna-complex/

As one of the essential building blocks of life, nitrogen is often used to boost crop growth in agriculture. Common fertilizers therefore contain high nitrogen concentrations in the form of nitrate salts. The remaining drain waters from horticulture thereby still contain high levels of nitrate. Discarding such nitrate-rich drain waters into the environment can severely damage the natural balance of rivers by increasing toxicity for fish and invertebrates and causing algal blooms. Read more here: https://digitalgaesation.eu/strategies-for-real-time-monitoring-of-nitrate-levels-in-open-pond-cultivation-systems/

The city of Padova, Italy, hosted during the week of February 05-09 the Digitalgaesation Winter School “Entrepreneurship and Startup” taught by Prof. Moreno Muffatto. The course consisted of 8 modules structured in a systematic and progressive way with the aim of familiarizing ESRs with the world of entrepreneurship and startup development. Read more at: https://digitalgaesation.eu/digitalgaesation-winter-school-in-padova/

Recently, unicellular microalgae have attracted considerable interest due to their ability to utilize CO2 in the photosynthetic process and produce various valuable compounds such as biofuels, bioplastics, pigments, and vitamins. Microalgae are a promising source for a sustainable replacement for fossil fuels in transportation and power generation. Read more at: https://digitalgaesation.eu/prediction-of-microalgae-growth-using-machine-learning-models/