A computer model of " a sense of humour " is formulated. The humorous effect is treated as a specific malfunction in the processing of information, conditioned by the necessity of a quick deletion from consciousness of a false version. The biological function of a sense of humour consists in quickenning the transmission of processed information into conscioussness and in a more effective use of...

How well are single-cell properties reproduced by the present-day neuronal models? Recently, several labs have approached this question by assessing the quality of neuron models with respect to spike timing prediction or characteristic features of the voltage trace. So far, every modeler used his own preferred performance measure on his own data set. The Quantitative Single-Neuron Modeling Comp...

Bacterial sRNAs are a class of small regulatory RNAs of about 40-500 nt in length; they play multiple biological roles through binding to their target mRNAs or proteins. Therefore, elucidating sRNA targets is very important. However, only targets of a few sRNAs have been described. To facilitate sRNA functional studies such as developing sRNA target prediction models, we updated the sRNATarBase...

Weather modeling software can be computationally intensive and can also produce cryptic output. To attempt to solve the first problem I tried various techniques to run a weather model using multiple processors. For the second problem, I engineered some tools to increase the readability and usability of the output.

Weather forecasts are an important input to many electricity demand forecasting models. This study investigates the use of weather ensemble predictions in electricity demand forecasting for lead times from one to 10 days ahead. A weather ensemble prediction consists of 51 scenarios for a weather variable. We use these scenarios to produce 51 scenarios for the weather-related component of electr...

• y(u) aims at reproducing some real phenomenon which we denote by y 1.2 Validation of computer models •Question of interest: Does the computer model adequately represent reality? •Obtain field data yi that results from observing reality in a physical experiment yFi = y +εi , εi ∼ Np(0,Σ F ), ,Σ = Λ R Λ, Λ = diag(σ i ) •Combine model and field data with a statistical model y = y(u) + b (Kennedy...

[1] Comparison of model outputs with observations of the climate system forms an essential component of model assessment and is crucial for building our confidence in model predictions. Methods for undertaking this comparison are not always clearly justified and understood. Here we show that the popular approach of comparing the ensemble spread to a so-called “observationally-constrained pdf” c...

Farmers, commodities dealers, water managers, and others have long sought to forecast production of major crops through the use of models requiring some sort of weather input. Steady strides have been made recently in developing physiological models of crops such as wheat and rice. Such models should include daily minimum and maximum temperatures, precipitation, and solar radiation. Up to now, ...

where nf is the effective number of quark flavors. The finite-order expression depends on both μ and the choice of scheme used to define the coupling. In fact, Eq. (1) can be made to take on essentially any value by varying μ and the renormalization scheme, which are a priori completely arbitrary. The scale/scheme problem is that of choosing μ and the scheme s in an “optimal” way, so that an un...

The paper presents the results of simulations performed for predictive goals for the main Polish index named WIG20, using the historical quotes on several connected financial time series. The data (monthly and daily tested) used to predict WIG20 are such series as economical supply of money, level of unemployment, inflation and lagged series of the main index. In order to reach prediction goal,...