Melting points and fusion enthalpies are predicted for a series of 81 compounds by combining experimental solubilities in a variety of solvents and analyzed according to the theory of mobile order and disorder (MOD) and using the total phase change entropy estimated by a group additivity method. The error associated in predicting melting points is dependent on the magnitude of the temperature p...

Predicting outcomes is important in planning patient management and rehabilitation. Two cases, one with illustrative radiology, are described. Each presented with potentially preventable morbidity, secondary to unrecognised compression of the spinal cord. Detailed history and examination may have revealed the underlying problem: a condition with potential associated long-term morbidity.

We present a planning framework for producing socially competent robot behaviors in pedestrian environments. The framework is designed according to conclusions of recent psychology studies on action interpretation and sociology studies on human pedestrian behavior. The core of the approach is a novel topological representation of the pedestrian scene, based on braid groups. Thanks to this repre...

Computer network security systems need to incorporate arti cial intelligence methods for plan recognition Plan recognition is critical both to predicting the future actions of attackers and planning appro priate responses to their actions This paper presents an argument for including plan recognition in such systems and discusses the problems network computer security presents to plan recogniti...

Radio wave propagation models are extremely important in radio network planning, design as well as in interference planning. Radio propagation is essential for emerging technologies with appropriate design, deployment and management strategies for any wireless network. It is heavily site specific and can vary significantly depending on terrain, frequency of operation, velocity of mobile termina...

This thesis intends to address an important cause of the 2007-2008 financial crisis by incorporating prediction on asset pricing jumps in asset pricing models, the non-normality of asset returns. Several different machine learning techniques, including the Unscented Kalman Filter and Approximate Planning are used, and an improvement in Approximate Planning is developed to improve algorithm time...

This study explored the relative effects of self-efficacy on oral contraceptive use among a sample of 352 Iranian married women aged 18-49 years. In structured interviews 5 variables based on the Steps to Behaviour Change model (knowledge, approval, intention, practice and advocacy) were assessed and correlated with measures of family planning self-efficacy and general self-efficacy. The result...

In this paper we discuss methods for predicting the performance of any formulation of randomized parallel search, and propose a new performance prediction method that is based on obtaining an accurate estimate of the k-processor run-time distribution. We show that the k-processor prediction method delivers accurate performance predictions and demonstrate the validity of our analysis on several ...