This paper uses dynamic general equilibrium and computational methods, inspired by the multi-sector growth model structure in Stephen Turnovsky’s previous and more recent work, to develop a theory that unifies two of the traditional explanations of structural change: sector-biased technical…

Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to identify…

This article analyzes the appropriateness of a text summarization system, COMPENDIUM, for generating abstracts of biomedical papers. Two approaches are suggested: an extractive (COMPENDIUM E), which only selects and extracts the most relevant sentences of the documents, and an abstractive-oriented…

The wars in Iraq and Afghanistan forced a revolution in military thinking that brought
stability operations to the forefront while coloring the military as one-part warrior, onepart
reluctant architect of peace. Despite years of experience in stability operations of
this…

This report investigates some techinques appropriate to representing the knowledge necessary for understanding a class of electronic machines -- radio receivers. A computational performance model - WATSON - is presented. WATSONs task is to isolate failures in radio receivers whose…

Currently, mathematics instruction in U.S. classrooms is far from achieving equity for African American students. This qualitative study reports the results of eight successful elementary mathematics teachers’ knowledge of equity pedagogy, specifically their knowledge of culturally relevant pedagogy, cultural competence,…

This paper presents a knowledge-based approach to
reducing impediments to collaboration in a
distributed environment. A major impediment to
such collaboration is the issue of communications -
clearly and efficiently expressing the desires of every
stakeholder in the process, as…

Artificial neural networks (ANN) are very efficient in solving various kinds of problems But Lack of explanation capability (Black box nature of Neural Networks) is one of the most important reasons why artificial neural networks do not get necessary interest…

Cardiopulmonary resuscitation should be known by all health workers. Advanced life support should be protocol driven and all first responders should be well trained in carrying this out. My aim in doing this audit was to assess the training and…

 Researchers with experiential disability knowledge increasingly engage in socio-medical research. In this paper the author discusses her experiences with employing her own lived experiences with disability in academic and non-academic research projects. Incorporating one’s own lived experiences in research implies…