Nomenclatural benchmarking is the periodic realignment of species names with species theories and is necessary for the accurate and uniform use of Linnaean binominals in the face of changing species limits.Gaining access to types, often for little more than a cursory examination by an expert, is a major bottleneck in the advance and availability of
We explored the use of Reinforcement Learning (RL) combined with risk assessment for optimizing investment portfolios.The dynamic nature of trading, compounded by market frictions, the responses of other market participants, and uncertainties, poses PASSIONFLOWER challenges to portfolio optimization.The financial market’s intricacies make it
Abstract Female primates signal impending ovulation with a suite of sexual signals.Studies of these signals have focussed on visual, and to a lesser extent, acoustic signals, neglecting olfactory signals.We aimed to investigate the information content of female olfactory signals in captive olive baboons (Papio anubis) and relate these to the female
Collections Human and natural ecosystems refer to human–social–economic subsystems and natural–ecological subsystems and their interactions.Understanding the interactions between human and natural ecosystems is essential for regional sustainability.However, the coupled human–nature ecosystem is usually highly heterogeneous and both spatiall
Automatic modulation classification (AMC) used in cognitive radio networks is an important class of methods apt to utilize spectrum resources efficiently.However, conventional likelihood-based approaches have high computational complexity.Thus, this paper proposes a novel convolutional neural network architecture for AMC.A bottleneck and asymmetric