Nervous System Architecture: Staff College Graduates and the Formation of Regular, Territorial Force, New Army, and Dominion Divisions, 1914-1916

The historiography of the First World War lacks an assessment of the role that trained staff officers had during the expansion of the British Expeditionary Force (BEF) between 1914 and 1918. This article aims to determine what role staff college graduates played in the early expansion of the BEF. The central conclusion of this article is that staff-trained officers were critical in the expansion of the BEF during the war. They occupied all the key command and staff appointments in the British regular army, the Territorial Force, New Army, and Dominion divisions, both when those formations were formed and when they first went into action. The armies of the empire could neither have expanded nor functioned without them

(Another) Battle in the Clouds

At age ten, in 1918, Rachel Carson entered a writing contest and won. In Battle in the Clouds , Carson wrote about the sky as a battlefield, where a soldier’s life is momentarily spared because of an act of bravery undeniable even by his enemies. They watch in awe and admiration rather than shoot. For my reimagining of the present as womb rather than grave, I reflect on the current use of the cloud in “cloud computing” to discuss the role of the internet and its material infrastructures in shaping earthly possibilities. I imagine the pace and place of awe rather than angst, while challenging dominant technological imaginaries

John Fisher Visits St. John Fisher

In lieu of an abstract, below is the essay\u27s first paragraph. Driving from Buffalo to New York City in 1990, after appearing in A Moon for the Misbegotten at the former\u27s Studio Arena Theatre, I passed through Rochester and remember thinking what a lovely city it looked like and how unlikely it was that I would ever have occasion to re-visit it. I\u27m very glad to say I was wrong

Coordinate noun phrase disambiguation in a generative parsing model

In this paper we present methods for improving the disambiguation of noun phrase (NP) coordination within the framework of a lexicalised history-based parsing model. As well as reducing noise in the data, we look at modelling two main sources of information for disambiguation: symmetry in conjunct structure, and the dependency between conjunct lexical heads. Our changes to the baseline model result in an increase in NP coordination dependency f-score from 69.9% to 73.8%, which represents a relative reduction in f-score error of 13%

Book Review

Review of: ROBERT A. SHANLEY, PRESIDENTIAL INFLUENCE AND ENVIRONMENTAL POLICY. (Greenwood Press, 1992) [163 pp.] Abbreviations, acknowledgements, index, introduction, notes, selected bibliography. LC 92-15584; ISBN 0-313-25883-X. [$45.00 cloth. 88 Post Road West; Westport CT 06881.

CPT Results from KTeV

I present several preliminary measurements from KTeV of the fundamental neutral kaon parameters, and their implications for CPT violation. A new limit is given on the sidereal time dependence of $\phi_{+-}$. The results are based on data collected in 1996-97.Comment: 10 pages, 5 figures, Contribution to the CPT01 Conference, Bloomington, Indiana, August 2001. V. A. Kostelecky organize

Aligning the top-level of SNOMED-CT with Basic Formal Ontology

Effective translational research requires automated analysis of large datasets collected by multiple researchers working at multiple locations. Reliable, machine interpretation of-—and reasoning with—-large datasets assembled at different times and places by different researchers requires standard representations of data. These representations are controlled, structured vocabularies also known as ontologies. By far, the most successful ontology is the Gene Ontology (GO), used by bioinformatics researchers to annotate genomics data. However, to address the phenotype side of translational research will require annotation of electronic medical record data and clinical research data with a clinical-phenotype ontology analogous to GO. One leading candidate for this ontology is SNOMED-CT (SNCT). However, GO and SNCT are incompatible representations. GO is based on an upper level ontology called Basic Formal Ontology (BFO). In this work, we aligned the upper level of SNCT with BFO to enhance its suitability for translational research. Most (14/19 or 74%) of the top-level concepts of SNCT can be fitted into the framework of BFO, but only after significant reorganization. An important concept that does not align is Clinical Finding, which is intended to comprehend diseases and signs and symptoms of disease. However, a finding of disease (epistemology) is not the same thing as a disease (ontology). This discrepancy between SNCT and BFO is important to consider further. Another key result is that children of the top-level concepts do not necessarily follow their parents into BFO, and thus one must align each SNCT concept independently. Future work is to align the next level of SNCT (345 concepts) with BFO