Abstract El Niño-Southern Oscillation (ENSO) shows a large diversity of events that is modulated by climate variability and change. The representation this in models limits our ability to predict their impact on ecosystems human livelihood. Here, we use multiple observational datasets provide probabilistic description historical variations event location intensity, benchmark models, before exam...

In previous studies we first concentrated on utilizing crisp simulationto produce discrete event fuzzy systems simulations. Then we extendedthis research to the simulation of continuous fuzzy systems models. In this paperwe continue our study of continuous fuzzy systems using crisp continuoussimulation. Consider a crisp continuous system whose evolution depends ondifferential equations. Such a ...

Bayesian models can be related to cognitive processes in a variety of ways that can be usefully understood in terms of Marr’s distinction among three levels of explanation: computational, algorithmic and implementation. In this note, we discuss how an integrated probabilistic account of the different levels of explanation in cognitive science is resulting, at least for the current research prac...

This paper introduces the support for dynamic law evolution in the XMLaw governance approach. This approach provides mechanisms for managing unpredicted law changes on the fly. We propose a generic software design for developing mechanisms to support dynamic law evolution. The implementation of the proposed design is also presented considering two possible underlying software solutions: OSGi an...

The injection of apparent power to self-consumption buses generates voltage variations during network operation, which, when properly monitored, could support regulation and control. In this paper, we propose a linear sensitivity modelling, quite useful for studies with distributed energy resources (DER). This modelling consists two analytical improvement steps: first, full formulation the devi...

Estimating snowmelt in semi-arid mountain ranges is an important but challenging task, due to the large spatial variability of snow cover and scarcity field observations. Adding solar radiation as predictor within empirical models often done account for topographically induced variations melt rates. This study examines added value including different treatments benchmarks their performance agai...

Arterial cannulation is a common procedure in the care and management of critically ill patients. Blood pressure measurement, arterial blood sampling and cardiac output determinations are a few primary reasons for arterial cannulation. This invasive catheter placement also imposes certain risks and clinical management problems like bleeding, thrombosis and hematoma formation. Fracture and embol...

Two monoclonal antibodies (mAbs 236 and 237) against a synthetic peptide composed of the same amino acid residues as the sequence 152-167 of the alpha subunit of the acetylcholine receptor were obtained, and their crossreaction with the synthetic peptide, alpha subunit, and solubilized receptor was demonstrated. Crossreaction with the synthetic peptide alpha 159-169 was less by a factor of 10(4...

Shannon's information theory provides a principled framework for the quantitative analysis of brain responses during the encoding and representation of event streams. In particular, entropy measures the expected uncertainty of events in a given context. This contextual uncertainty or unpredictability may, itself, be important for balancing [bottom-up] sensory information and [top-down] prior ex...

FSO (Free-Space Optical Communications) is a type of optical communication that transmitted over an open space. The irradiance fluctuation in clear atmosphere caused by Temperature variations the are minor but erratic. As result, Signal-to-Noise Ratio (SNR) reduced, and performance reduced. BPSK has best when scintillation not considered. Thus, investigated this work under impact air turbulence...