Carving Alaska Soapstone

Thesis (M.A.) University of Alaska Fairbanks, 196

The impact of training and experience on the recovery of evidence in outdoor forensic scenes: implications for human remains recovery

The present study involves a multivariate assessment of the success of evidence recovery by searchers from various backgrounds and skill levels. Volunteers representing four experience levels (civilian volunteers, first year forensic anthropology graduate students, second year forensic anthropology graduate students, and first responders) conducted line searches of mock crime scenes, flagging items of forensic significance with pin flags. The groups were then briefly trained in human skeletal remains recovery, and implemented this training through a second set of mock scene searches. Recovery rates were compared across pre- and post-training trials and across searcher groups in order to determine the influence of searcher training and experience on search success. The results of this study reveal not only the percentage of evidence that was recovered by search teams, but exhibits the degree to which experience and training played a role in evidence recovery

Clinical application of penicillin

Mostly reprintsIncludes bibliographical references.10 pts. in 1 v.Title page and introduction only. The complete thesis in print form is available from the University Library.Thesis (M.D.)--University of Adelaide, Dept. of Medicin

THE GLOBAL COMPETITIVENESS OF THE U.S. FOOD-PROCESSING INDUSTRY

Agribusiness,

A study of thirty-six boys committed to Metropolitan State Hospital under Section one hundred of the General Laws January 1, 1950 - December 31, 1950.

Thesis (M.S.)--Boston Universit

Caroly Ryrie Brink

For a gifted storyteller with the ability to pluck the extraordinary from the ordinary, the occasion of Carol Ryrie Brink’s birth would give her the opportunity to introduce herself into a particular place and time. Her life tentatively began on 28 December 1895. She grew up hearing the story of that winter evening from her grandmother until it became her own. Her grandfather, Dr. William W. Watkins, arrived at the Ryries\u27 house on a sleigh pulled through the snow by his high-stepping horse. As the doctor pumped the baby’s small arms up and down and blew his tobacco-scented breath into the cold, still body, an anxious father and exhausted mother waited to hear the thin cry. As Brink tells in her reminiscences, “I gave a sharp cry and began what has been a marvelous and rewarding journey, a thing too precious to be minimized, my lovely life” (Chain of Hands 6)

Singularities

SINGULARITIES is a work of fiction; it is the beginning of a novel about a mathematician, Allie Waters, who is haunted--and still mesmerized--by her lover, Shelby, more than twenty years after her death. The novel is structured as a collection of individual pieces of Allie's memory as filtered through her mathematically-inspired theory of life based on the "Calculus of Residues." Some of Allie's "singularities" include her experiences growing up in rural Florida with her best friend Michael, a series of mystical out-of-body experiences that are ultimately diagnosed as temporal lobe seizures, her short but intense relationship with Shelby in college, and the complex connection she continues to share with both Shelby and Michael throughout her life

Unifying metric approach to the triple parity

AbstractThe even-odd parity problem is a tough one for neural networks to handle because they assume a finite dimensional vector space. Typically, the size of the neural network increases as the size of the problem increases. The triple parity problem is even tougher. In this paper, a method is proposed for supervised and unsupervised learning to classify bit strings of arbitrary length in terms of their triple parity. The learner is modeled by two formal concepts, transformation system and stability optimization. Even though a small set of short examples were used in the training stage, all bit strings of any length were classified correctly in the online recognition stage. The proposed learner has successfully learned to devise a way by means of metric calculations to classify bit strings of any length according to their triple parity. The system was able to acquire the concept of counting, dividing, and then taking the remainder, by autonomously evolving a set of string-editing rules along with their appropriate weights to solve the difficult problem