Iconographie générale des ophidiens / par M. le Professeur Jan.

plates livr. 29

Iconographie générale des ophidiens / par M. le Professeur Jan.

plates livr. 9

Iconographie générale des ophidiens / par M. le Professeur Jan.

plates livr. 38

Iconographie générale des ophidiens / par M. le Professeur Jan.

plates livr. 36

Iconographie générale des ophidiens / par M. le Professeur Jan.

plates livr. 21

Iconographie générale des ophidiens / par M. le Professeur Jan.

index plates livr. 1-50

Iconographie générale des ophidiens / par M. le Professeur Jan.

plates livr. 31

Associates foreign trade yearbook 1959-1966. Republique centrafricaine/Central African Republic

The present booklet is the first part of a retrospective publication on the foreign trade of Madagascar and the African States (AASM) associated with the European Communities. It will be followed by about fifteen similar booklets dealing with the imports and exports of each of these countries; these booklets will together make up Volume I of the work. The second volume will set out the trade of all the AASM in each of the products shown in the Statistical and Tariff Classification for International Trade (CST);

History of the Ohio state university,

v. 1. 1870-1910, by Alexis Cope, ed. by T. C. Mendenhall.--v. 2. Continuation of the narrative from 1910 to 1925, by O. C. Hooper, ed. by T. C. Mendenhall.--v. 3. Addresses and proceedings of the semicentennial celebration, October 13-16, 1920, ed. by T. C. Mendenhall, assisted by J. S. Myers.--v. 4. The universty in the great war. pt. 1. Wartime on the campus, by W. H. Siebert, with a chapter by Carl Whittke. pt. 2. Our men in military and naval service, supervised and ed. by W. H. Siebert, except chapters II to IX, inclusive, by E. H. McNeal. pt. 3. In the camps and at the front.--v. 5. Addresses and proceedings of the inauguration of Howard Landis Bevis, October 24 and 25, 1940, ed. by William McPherson and H. K. Schellenger.--v. 6. Addresses and proceedings of the seventy-fifth anniversary, 1948-49.--v. 7. The Bevis administration, 1940-1956. pt. 1. The university in a world at war, 1940-1945. --v. 10. The Enarson years, 1972-1981, by Paul Underwood.

Operator's manual : countermeasures set, special purpose, AN/MLQ-34.

Includes index ([v. 1]).

Surface water resources of Pierce County /

"Lake and stream classification project."

Developing pineapple fruit has a small transcriptome dominated by metallothionein

In a first step toward understanding the molecular basis of pineapple fruit development, a sequencing project was initiated to survey a range of expressed sequences from green unripe and yellow ripe fruit tissue. A highly abundant metallothionein transcript was identified during library construction, and was estimated to account for up to 50% of all EST library clones. Library clones with metallothionein subtracted were sequenced, and 408 unripe green and 1140 ripe yellow edited EST clone sequences were retrieved. Clone redundancy was high, with the combined 1548 clone sequences clustering into just 634 contigs comprising 191 consensus sequences and 443 singletons. Half of the EST clone sequences clustered within 13.5% and 9.3% of contigs from green unripe and yellow ripe libraries, respectively, indicating that a small subset of genes dominate the majority of the transcriptome. Furthermore, sequence cluster analysis, northern analysis, and functional classification revealed major differences between genes expressed in the unripe green and ripe yellow fruit tissues. Abundant genes identified from the green fruit include a fruit bromelain and a bromelain inhibitor. Abundant genes identified in the yellow fruit library include a MADS box gene, and several genes normally associated with protein synthesis, including homologues of ribosomal L10 and the translation factors SUI1 and eIF5A. Both the green unripe and yellow ripe libraries contained high proportions of clones associated with oxidative stress responses and the detoxification of free radicals.

Neural networks

An overview of neural networks, covering multilayer perceptrons, radial basis functions, constructive algorithms, Kohonen and K-means unupervised algorithms, RAMnets, first and second order training methods, and Bayesian regularisation methods.

Guiding local regression using visualisation

Solving many scientific problems requires effective regression and/or classification models for large high-dimensional datasets. Experts from these problem domains (e.g. biologists, chemists, financial analysts) have insights into the domain which can be helpful in developing powerful models but they need a modelling framework that helps them to use these insights. Data visualisation is an effective technique for presenting data and requiring feedback from the experts. A single global regression model can rarely capture the full behavioural variability of a huge multi-dimensional dataset. Instead, local regression models, each focused on a separate area of input space, often work better since the behaviour of different areas may vary. Classical local models such as Mixture of Experts segment the input space automatically, which is not always effective and it also lacks involvement of the domain experts to guide a meaningful segmentation of the input space. In this paper we addresses this issue by allowing domain experts to interactively segment the input space using data visualisation. The segmentation output obtained is then further used to develop effective local regression models.

Fair testing in employment selection

This project represents the collaboration of Charta Mede Ltd and the Interdisciplinary Higher Degrees Scheme at the University of Aston. The aim of the project was to monitor the effects of the Civil Service's Executive Officer Qualifying Test Battery on minority group applicants. Prior to monitoring the EO Test Battery, however, an ethnic classification had to be developed which was reliable, acceptable to respondents and appropriate for monitoring. Three pilot studies were conducted to examine these issues, during which different classifications and different ways of asking the question were trialled. The results indicated that by providing more precise instructions as to the meanings of categories, it was possible to obtain classifications which were acceptable and reliable. However, there were also certain terms and expressions which should be avoided such as those referring to colour and anthropological racial groups. Two classifications were used in the Executive Officer Study - one derived from an Office of Population Censuses and Surveys classification and one developed for this project - the MultiCultural British Classification. The results indicated that some minority groups (Asians, West Indians and Africans in particular) pass the tests in significantly lower proportions than the majority group and also score significantly less well on the tests. Factors which were significantly related to pass/fail and test scores included educational qualifications and age on entering the UK (the latter being negatively correlated). Using variables in this study, however, it was only possible to account for 5% of the variance in pass/fail rates and 11% of the variance in test scores. Analyses of covariance carried out indicated that the differences in test scores still remained even though the effects of significantly correlated variables were removed. Although indirect discrimination could not be inferred from the data, further research into differential validity and fairer methods of select ion is needed.