Toolkit applications as Quantum Fuzzy Modeling System (QFMS) and SW-support of robust Integrated Fuzzy Intelligent Control System (IFICS) design in unpredicted control situations are discussed from Intelligent System of System Engineering (SoSE) viewpoint. Design process of quantum control algorithms is based on Quantum Fuzzy Inference (QFI) model. QFI is a new quantum algorithm (QA) that based...

One challenge of evolutionary ecology is to predict the rate and mechanisms of population adaptation to environmental variations. The variations in most life history traits are shaped both by individual genotypic and by environmental variation. Forest trees exhibit high levels of genetic diversity, large population sizes, and gene flow, and they also show a high level of plasticity for life his...

As ecosystems undergo changes worldwide, physiological flexibility is likely to be an important adaptive response to increased climate instability. Extreme weather fluctuations impose energetical constraints such as unpredictable food shortage. We tested how grey mouse lemurs (Microcebus murinus) could adjust their daily heterothermy and locomotor activity to these 'energetic accidents' with a ...

Spatial variations of crop yields are commonly observed in typical rainfed systems worldwide. It is accepted that such likely to be associated, among other factors, with water spatial due lateral flows occurring fields undulating topography. However, some the main processes governing distribution as flow not entirely considered by most adopted simulation models. This brings uncertainty process ...

Abstract. Grassland aboveground biomass (AGB) is a critical component of the global carbon cycle and reflects ecosystem productivity. Although it widely acknowledged that dynamics grassland significantly regulated by climate change, in situ evidence at meaningfully large spatiotemporal scales limited. Here, we combine measurements from six long-term (> 30 years) experiments data existing lit...

On markets with receding prices, artificial noise traders may consider alternatives to buy-and-hold. By simulating variations of the Parrondo strategy, using real data from the Swedish stock market, we produce first indications of a buylow-sell-random Parrondo variation outperforming buy-and-hold. Subject to our assumptions, buy-low-sell-random also outperforms the traditional value and trend i...