VALID RESEARCH ON NEGLECT REHABILITATION DEMANDS A STATISTICAL APPROACH COMMENSURATE WITH THE CHARACTERISTICS OF NEGLECT REHABILITATION DATA: neglect arises from impairment in distinct brain networks leading to large between-subject variability in baseline symptoms and recovery trajectories. Studies enrolling medically ill, disabled patients, may suffer from missing, unbalanced data, and small ...

Based on an effective energy conversion method between gas enthalpy and thermal radiation, a multi-layered type of porous air heater has been proposed. In the five layered structure which is analyzed in this work, there are five porous layers which are separated by four quartz glass windows. The main layer operates as a porous radiant burner that products a large amount of thermal radiative ene...

the task of optimally assigning military ordinance to enemy targets, often termed weapon target allocation (wta) problem, has become a major focus of modern military thought where a cost effective allocation is required without degrading the required kill performance. the paper presents three main weapon allocation techniques namely uniform weapon allocation, first-in-first weapon allocation an...

This paper proposes an efficient learning method for the layered neural networks based on the selection of training data and input characteristics of an output layer unit. The multi-stage learning method proposes by the authors for the function approximation problems of classifying learning data in a phased manner, focusing on their learnabilities prior to learning in the multi layered neural n...

Multilevel Models (MLM) have pioneered the analysis of hierarchical data, with two or more levels. Agent-Based Models (ABM) are also used to analyse social phenomena in which there are two or more levels involved. This paper addresses the integration between MLM and ABM. To provide a basis of comparison, we focus on differential school effectiveness analysis, where MLM has been well studied, us...

Multi-Layered Design (Ben Shneiderman) is a way to adapt applications to multiple user categories with different knowledge and skills. The application is divided into layers which could be activated one by one. Each layer holds a set of functionality. When the users have gained confidence and learned the first layer they can progress to layers with more task functionality. We are conducting a s...