Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1990., Includes bibliographical references (leaves 231-234).

by Stephen V. Glynn [and] Thomas G. Pelland., Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2000., Includes bibliographical references (p. 134-135).

As interconnect linewidths continue to scale downward, a detailed knowledge of stress evolution and void growth processes enables a determination of the electromigration-induced failure times of these interconnects. This thesis provides this knowledge through the development of an electromigration simulation…

In this paper, the two-dimensional strip packing problem with 3-stage level patterns is tackled using genetic algorithms (GAs). We evaluate the usefulness of a greedy seeding procedure for creating the initial population, incorporating problem knowledge. This is motivated by the…

In this paper, a restricted domain question answering (QA) system is described. The design architecture of this QA system and the features that allow the adaptation of the QA system to the medical domain are also presented. The advantages of…

This work is focused on the study of digital newspapers interactivity, not considering the electronic versions of written newspapers, assuming that the new newspapers, which don't have neither tradition nor production routines in written communication, can fit better in internet.…

Los Objetivos de Desarrollo del Milenio, y dentro de éstos las Metas del Milenio, constituyen un plan operativo para la consecución de logros básicos dirigidos al alcance de la salud, la erradicación de la pobreza y el cumplimiento de los…

Increasingly, knowledge-based tasks such as new product development and market research are being conducted by geographically dispersed teams. Early evidence from knowledge-based view of the firm and geographically dispersed work literatures suggests that at least four kinds of knowledge gaps---transactive…

Knowledge-based Cascade-correlation is a neural network algorithm that combines inductive learning and knowledge transfer (Shultz & Rivest, 2001). In the present thesis, this algorithm is tested on several real-world and artificial problems, and extended in several ways. The first extension…

In order to close the gap that exists between the research areas of mathematics anxiety and mathematics learning, this study examined cognitive, metacognitive, and affective aspects of mathematics anxiety as well as students' mathematics performance and competence. One hundred and…