De Gaulle and Europe: Historical Revision and Social Science Theory. CES Germany & Europe Working Papers, No. 08.5, 1998

The thousands of books and articles on Charles de Gaulle's policy toward European integration, whether written by historians, political scientists, or commentators, universally accord primary explanatory importance to the General's distinctive geopolitical ideology. In explaining his motivations, only secondary significance, if any at all, is attached to commercial considerations. This paper seeks to reverse this historiographical consensus by the four major decisions toward European integration taken under de Gaulle's Presidency: the decisions to remain in the Common Market in 1958, to propose the Fouchet Plan in the early 1960s, to veto British accession to the EC, and to provoke the "empty chair" crisis in 1965-1966, resulting in Luxembourg Compromise. In each case, the overwhelming bulk of the primary evidence speeches, memoirs, or government documents suggests that de Gaulle's primary motivation was economic, not geopolitical or ideological. Like his predecessors and successors, de Gaulle sought to promote French industry and agriculture by establishing protected markets for their export products. This empirical finding has three broader implications: (1) For those interested in the European Union, it suggests that regional integration has been driven primarily by economic, not geopolitical considerations even in the least likely case. (2) For those interested in the role of ideas in foreign policy, it suggests that strong interest groups in a democracy limit the impact of a leaders geopolitical ideology even where the executive has very broad institutional autonomy. De Gaulle was a democratic statesman first and an ideological visionary second. (3) For those who employ qualitative case-study methods, it suggests that even a broad, representative sample of secondary sources does not create a firm basis for causal inference. For political scientists, as for historians, there is in many cases no reliable alternative to primary source research.

Control technology assessment : the secondary nonferrous smelting industry /

Mode of access: Internet.

School science and mathematics.

Published: Chicago : School Science and Mathematics, 1905- ; Chicago : Smith & Turton, <1907- >; Mount Morris, Ill. : Central Association of Science and Mathematics Teachers, Oct. 1928-1970; Bloomington, Ind. : School Science and Mathematics Association, 1971-May/June 1981; Bowling Green, Ohio : The Association, Oct. 1981-; Hoboken, NJ : Wiley Subscription Services, Inc., .

The guidebook of federal resources for K-12 mathematics and science /

Contains directories of federal agencies that promote mathematics and science education at elementary and secondary levels; organized in sections by agency name, national program name, and state highlights by region.

The teaching of history and civics in the elementary and the secondary school,

Bibliography at head of chapters.

Teaching and organisation, with special reference to secondary schools, a manual of practice,

Contains bibliographies.

Bibliographies on educational subjects : secondary education /

Bibliographies prepared by members of the seminar in education at Clark University during the year 1915-16.

The Role of Geometry in Wordsworth's "Science of Feelings"

Thesis (Ph.D.)--University of Washington, 2016-06

The secondary nucleation threshold and crystal growth of alpha-glucose monohydrate in aqueous solution

Investigation of the secondary nucleation threshold (SNT) of alpha-glucose monohydrate was conducted in aqueous solutions in agitated batch systems for the temperature range 10 to 40 degrees C. The width of the SNT decreased as the induction time increased and was found to be temperature independent when supersaturation was based on the absolute concentration driving force. Nonnucleating seeded batch bulk crystallizations of this sugar were performed isothermally in the same temperature range as the SNT experiments, and within the SNT region to avoid nucleation. The growth kinetics were found to be linearly dependent on the supersaturation of total glucose in the system when the mutarotation reaction is not rate limiting. The growth rate constant increases with increasing temperature and follows an Arrhenius relationship with an activation energy of 50 +/- 2 kJ/mol. alpha-Glucose monohydrate shows significant crystal growth rate dispersion (GRD). For the seeds used, the 95% range of growth rates was within a factor of 6 for seeds with a narrow particle size distribution, and 8 for seeds with a wider distribution that was used at 25 degrees C. The results will be used to model the significance of the mutarotation reaction on the overall crystallization rate of D-glucose in industrial crystallization.

Determinants of stages of smoking uptake among secondary school students

With the uptake of cigarette smoking hypothesised to occur through a series of contemplation and action stages, we sought to investigate what factors are associated with the contemplation of smoking among secondary school students in Queensland, Australia. A series of four cross-sectional surveys were conducted among secondary schools in Queensland in 1993, 1996, 1999 and 2002. Respondents (n = 9993) were asked about the stages of smoking. Nearly half (43%) of secondary school students reported some contemplation of smoking. Increased levels of smoking contemplation were observed among females, earlier survey years, Junior level students, students with average or below average scholastic ability, those prepared to go out with a smoker, those with recent alcohol experience, those who bad influenced other students to smoke or had not discouraged other students smoking. The results of this study provide further information about the factors relevant to stages of smoking uptake among secondary school students and the influence that students may have on their peers. (c) 2005 Elsevier Ltd. All rights reserved.

Identifying sequence regions undergoing conformational change via predicted continuum secondary structure

Motivation: Conformational flexibility is essential to the function of many proteins, e.g. catalytic activity. To assist efforts in determining and exploring the functional properties of a protein, it is desirable to automatically identify regions that are prone to undergo conformational changes. It was recently shown that a probabilistic predictor of continuum secondary structure is more accurate than categorical predictors for structurally ambivalent sequence regions, suggesting that such models are suited to characterize protein flexibility. Results: We develop a computational method for identifying regions that are prone to conformational change directly from the amino acid sequence. The method uses the entropy of the probabilistic output of an 8-class continuum secondary structure predictor. Results for 171 unique amino acid sequences with well-characterized variable structure (identified in the 'Macromolecular movements database') indicate that the method is highly sensitive at identifying flexible protein regions, but false positives remain a problem. The method can be used to explore conformational flexibility of proteins (including hypothetical or synthetic ones) whose structure is yet to be determined experimentally.

Using secondary knowledge to support decision tree classification of retrospective clinical data

Retrospective clinical data presents many challenges for data mining and machine learning. The transcription of patient records from paper charts and subsequent manipulation of data often results in high volumes of noise as well as a loss of other important information. In addition, such datasets often fail to represent expert medical knowledge and reasoning in any explicit manner. In this research we describe applying data mining methods to retrospective clinical data to build a prediction model for asthma exacerbation severity for pediatric patients in the emergency department. Difficulties in building such a model forced us to investigate alternative strategies for analyzing and processing retrospective data. This paper describes this process together with an approach to mining retrospective clinical data by incorporating formalized external expert knowledge (secondary knowledge sources) into the classification task. This knowledge is used to partition the data into a number of coherent sets, where each set is explicitly described in terms of the secondary knowledge source. Instances from each set are then classified in a manner appropriate for the characteristics of the particular set. We present our methodology and outline a set of experiential results that demonstrate some advantages and some limitations of our approach. © 2008 Springer-Verlag Berlin Heidelberg.