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A single weak link in these systems can lead to rapid decline of entire blocks.
Specialization in agricultural systems can lead to trade-offs between economic gains and ecosystem functions.
This way of modelling systems can lead to large scale DAEs (Fritzson (2015)).
High input systems can lead to a greater potential for N2O emission hotspots.
I will give examples of how data-hungry AI-based systems can lead to harmful decisions and even fatal errors.
I am interested in understanding how individual interactions within biological systems can lead to the emergence of complex structures.
We further explore how deficiencies in these systems can lead to developmental defects, premature aging, and predisposition to cancer.
The models show that feedbacks between the biological and economic systems can lead to a state of persistent poverty.
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Besides, controlling and monitoring renewable energy systems can led to decrease renewable energy cost also by other activities like forecasting of energy production.
Fatigue coupled with an overstimulated central nervous system can lead to a variety of emotional changes.
We then show how the institution of a feedback system can lead to sustainable market outcomes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com