Nathaniel Christen (8 results)

Hardcover. Condition: Fine. Dust Jacket Condition: Fine. First Edition. Inscribed by Nathaniel Blumberg at endpaper: "For Robert Gonsalves - Nathaniel Blumberg, Big Fork, Montana, April 11, 1992". Fine, black full cloth boards, metallic red cover and spine titles, lt. shelf wear, bump. Pages fine. Red endpapers. Dj lt. wear; unclipped 15.00, protected in new clear sleeve. Tells the story in novelized form of the Manchurian Candidate, John Hickley, Jr., who set off on his mission to take out a President, while another lurked waiting to carry out his nefarious agenda. Blumberg's character, an investigative journalist, illustrates the major media as gatekeeper and guardian of truth and secrets. 377 pages. Size: 8vo - over 7¾" - 9¾" tall. Smith, Christen Cody (Cover Art) (illustrator). Book. …

Condition: As New. Unread book in perfect condition.

Condition: New. In English.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Kartoniert / Broschiert. Condition: New. Provides an analysis of how conceptual spaces and related cognitive linguistic approaches can inspire programming and query-processing models Outlines the vital role that data modeling/curation has played in significant medical breakthroug.

Taschenbuch. Condition: Neu. Neuware - In recent years, scientific research and translation medicine have placed increased emphasis on computational methodology and data curation across many disciplines, both to advance underlying science and to instantiate precision-medicine protocols in the lab and in clinical practice. The nexus of concerns related to oncology, cardiology, and virology (SARS-CoV-2) presents a fortuitous context within which to examine the theory and practice of biomedical data curation. Innovative Data Integration and Conceptual Space Modeling for COVID, Cancer, and Cardiac Care argues that a well-rounded approach to data modeling should optimally embrace multiple perspectives inasmuch as data-modeling is neither a purely formal nor a purely conceptual discipline, but rather a hybrid of both. On the one hand, data models are designed for use by computer software components, and are, consequently, constrained by the mechanistic demands of software environments; data modeling strategies must accept the formal rigors imposed by unambiguous data-sharing and query-evaluation logic. In particular, data models are not well-suited for software-level deployment if such models do not translate seamlessly to clear strategies for querying data and ensuring data integrity as information is moved across multiple points. On the other hand, data modeling is, likewise, constrained by human conceptual tendencies, because the information which is managed by databases and data networks is ultimately intended to be visualized/utilized by humans as the end-user. Thus, at the intersection of both formal and humanistic methodology, data modeling takes on elements of both logico-mathematical frameworks (e.g., type systems and graph theory) and conceptual/philosophical paradigms (e.g., linguistics and cognitive science). The authors embrace this two-sided aspect of data models by seeking non-reductionistic points of convergence between formal and humanistic/conceptual viewpoints, and by leveraging biomedical contexts (viz., COVID, Cancer, and Cardiac Care) so as to provide motivating examples and case-studies in this volume.…