The Scale Invariant Feature Transform (SIFT) is a useful algorithm for describing local features in an image. This research successfully demonstrates a model for optimizing SIFT using a Field Programmable Analog Array ...

Past studies in the United States and Canada have found that the prevalence for fibromyalgia (FM) is approximately 2%, but there are very few studies of this condition in developing countries. With the organic basis unknown, ...

The United States has one of the most expensive health care systems in the world, yet there are no comparable outcomes associated with access and quality of care. While other countries consider access to health care services ...

Contamination of aquatic environments is a global concern that poses risks to wildlife and human health. Due to their high trophic status, broad diet, long life span, and occurrence in a variety of aquatic habitats, ...

Throughout Sub-Saharan Africa, the importance of male reproductive health has been overshadowed by an emphasis on maternal and child health. However, men also face a high prevalence of sexually transmitted infections, ...

During strenuous physical activity athletes may experience catharsis, life mentality changes, and flow (Scheff, 1979; Csikszentmihalyi, 1990; Nesti, 2007; Watson, 2007). Beyond these experiences, this thesis examines ...

This paper serves as an analysis of the impact of hunting and fishing tourism operations—referred to collectively as consumptive wildlife tourism—in Latin America. Foreign tourism plays an important role in many Latin ...

The textual tradition of the Aeneid, while less variable than that of other works, contains many discrepancies among the manuscripts that scholars use to form critical editions and determine Virgil’s original text. ...

Toni Morrison’s Beloved, hailed as one of the most important books of the twentieth century, challenges the contemporary reader to come to terms with the reality of slavery through the lens of a neo-slave narrative. Set ...

There are several known methods for computing eigenvalues of a large sparse nonsymmetric matrix. One of the most efficient methods is known as the Arnoldi method. The Arnoldi method is a Krylov subspace method that computes ...