MOTIVATION Side-chain modeling has seen wide applications in computational structure biology. Most of the popular side-chain modeling programs explore the conformation space using discrete rigid rotamers for speed and efficiency. However, in the tightly packed environments of protein interiors, these methods will inherently lead to atomic clashes and hinder the prediction accuracy. RESULTS We...

Mental workload is an important component in complex human-machine systems. The limited applicability of empirical workload measures produces the need for workload modeling and prediction methods. In the present study, a mental workload prediction model is built on the basis of attentional resource allocation and information processing to ensure pilots' accuracy and speed in understanding large...

This paper examines a new time series method for very short-term wind speed forecasting. The time series forecasting model is based on Bayesian theory and structural break modeling, which could incorporate domain knowledge about wind speed as a prior. Besides this Bayesian structural break model predicts wind speed as a set of possible values, which is different from classical time series model...

Background: The link prediction issue is one of the most widely used problems in complex network analysis. Link prediction requires knowing the background of previous link connections and combining them with available information. The link prediction local approaches with node structure objectives are fast in case of speed but are not accurate enough. On the other hand, the global link predicti...

Operational speed is an index that represents drivers’ speeding behaviors and shows the comfort and safety levels they experience. Many models had been proposed to predict operational speed in tangent and curve segments of highways. Most of these works had used geometric, with few of them conducted using roadside variables to predict operational speed. Also, the operational speed study in multi...

This paper presents a model for characterizing delay and power for CMOS logic cells that accounts for input slope and output capacitance loading. A method for deriving the model parameters and VHDL modeling for simple logic gates is presented. The model makes feasible delay and power estimation at VHDL simulation speed, the errors of the model prediction are less than 5% of Spice results.

in recent decades artificial neural networks (anns) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. this paper presents the application of artificial neural networks to predict drought in yazd meteorological station. in this research, different archite...

This study investigates the effect of modeling the slatted floor as porous media on prediction of ammonia emissions and airflow patterns. Two approaches to determine the resistance coefficients of porous media modeling are adopted by using two geometries in CFD modeling. The results reveal that the ammonia emission with slatted floor modeled as actual size (SLM) is generally lower than the valu...

thermophysical properties of fluorine are interesting because of its applications in different areas of technologyand industry. the computations of thermodynamic properties were performed with the gma equation of stateunder critical conditions. the present work reports calculations of density, volumetric, and thermodynamicproperties of liquid fluorine on extended ranges of pressure and temperat...