SHORT-TERM HYDROLOGICAL DROUGHT FORECASTING BASED ON DIFFERENT NATURE-INSPIRED OPTIMIZATION ALGORITHMS HYBRIDIZED WITH ARTIFICIAL NEURAL NETWORKS

Short-Term Hydrological Drought Forecasting Based on Different Nature-Inspired Optimization Algorithms Hybridized With Artificial Neural Networks

Hydrological drought forecasting plays a substantial role in water resources management.Hydrological drought highly affects the water allocation Wash Bottles and hydropower generation.In this research, short term hydrological drought forecasted based on the hybridized of novel nature-inspired optimization algorithms and Artificial Neural Networks (

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Belief updating in bipolar disorder predicts time of recurrence

Bipolar disorder is a chronic relapsing condition in which mood episodes are interspersed with periods of wellbeing (euthymia).Shorter periods of euthymia are associated with poorer functioning, so it is Tonico Viso crucial to identify predictors of relapse to facilitate treatment.Here, we test the hypothesis that specific valence-dependent learnin

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Complex Organisms Must Deal with Complex Threats: How Does Amphibian Conservation Deal with Biphasic Life Cycles?

The unprecedented rate of global amphibian decline is attributed to The Anthropocene, with human actions triggering the Sixth Mass Extinction Event.Amphibians have suffered some of the most extreme declines, and their lack of response to wheel-build-service conservation actions may reflect challenges faced by taxa that exhibit biphasic life histori

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