Cadburys' new factory system, 1879-1919

This thesis examines the reasons for Cadburys' move from a city centre site to a greenfield site in Bournville in 1879 and the subsequent development of the factory and the Bournville community. The founding of the Bournville Village Trust by George Cadbury is discussed in relation to the Garden City movement. The welfare and personnel management policies which Cadburys adopted in the 1900s are considered in relation to welfarism in general, especially in the United States. The extent to which the idea of a `Quaker employer' can explain Cadburys policies is questioned both methodologically and empirically. The early use of scientific management at Bournville is described and related to Edward Cadbury's writings on the subject. Finally, the institution of a Works Council Scheme in 1918 is described and its uses are discussed. It is concluded that Cadburys instituted a new factory system in this period which consisted of a synthesis of ideas borrowed from elsewhere and that for a variety of reasons Cadburys was an appropriate site for their implementation

Food for Thought? A Rejoinder on peer-review and RAE2008 evidence. Accounting Education, December 2011

This Rejoinder responds to criticisms made by Simon Hussain (2011) about the construction and operation of the Association of Business Schools’ (ABS) Journal Quality Guide. In this paper the broad purposes of journal lists and guides are outlined before an account is given of the long history and multiple forms of these lists, particularly in the field of Accounting. Having described the main features of different types of journal list, the advantages and benefits of the approach adopted in the compilation of the ABS Journal Quality Guide is outlined. The paper then ends by noting that one of the copy editing mistakes identified by Dr Hussain has been rectified, but the remaining concerns about the rating of accounting education and accounting history journals reflects the absence of these titles from journal citation reports and international journal lists. Furthermore, the lower rating of Accounting research in the RAE2008 in comparison with Business and Management research in the same year and Accounting and Finance research in 2001, has more to do with the way in which the Accounting and Finance Panel calibrated and normalised its judgements than with the ratings contained within the ABS guide

Special Issue Introduction:Historical Research on Institutional Change

Both business historians and organisation studies scholars study institutional change to understand the interactions between business and society. However, research approaches differ fundamentally, with organisational research focusing on theory-driven explanations, whereas historical research is rather theory-informed. The consequence of such disciplinary orientation is that interdisciplinary conversations rarely occur. For this special issue, we invited submissions that address how historical research can contribute to our understanding of institutional change while demonstrating ‘dual integrity’ in terms of being significant pieces of historical research that provide us with new insights into historiography and at the same time addressing important theoretical concerns

Contact lines for fluid surface adhesion

When a fluid surface adheres to a substrate, the location of the contact line adjusts in order to minimize the overall energy. This adhesion balance implies boundary conditions which depend on the characteristic surface deformation energies. We develop a general geometrical framework within which these conditions can be systematically derived. We treat both adhesion to a rigid substrate as well as adhesion between two fluid surfaces, and illustrate our general results for several important Hamiltonians involving both curvature and curvature gradients. Some of these have previously been studied using very different techniques, others are to our knowledge new. What becomes clear in our approach is that, except for capillary phenomena, these boundary conditions are not the manifestation of a local force balance, even if the concept of surface stress is properly generalized. Hamiltonians containing higher order surface derivatives are not just sensitive to boundary translations but also notice changes in slope or even curvature. Both the necessity and the functional form of the corresponding additional contributions follow readily from our treatment.Comment: 8 pages, 2 figures, LaTeX, RevTeX styl

Scaling for Interfacial Tensions near Critical Endpoints

Parametric scaling representations are obtained and studied for the asymptotic behavior of interfacial tensions in the \textit{full} neighborhood of a fluid (or Ising-type) critical endpoint, i.e., as a function \textit{both} of temperature \textit{and} of density/order parameter \textit{or} chemical potential/ordering field. Accurate \textit{nonclassical critical exponents} and reliable estimates for the \textit{universal amplitude ratios} are included naturally on the basis of the ``extended de Gennes-Fisher'' local-functional theory. Serious defects in previous scaling treatments are rectified and complete wetting behavior is represented; however, quantitatively small, but unphysical residual nonanalyticities on the wetting side of the critical isotherm are smoothed out ``manually.'' Comparisons with the limited available observations are presented elsewhere but the theory invites new, searching experiments and simulations, e.g., for the vapor-liquid interfacial tension on the two sides of the critical endpoint isotherm for which an amplitude ratio $-3.25 \pm 0.05$ is predicted.Comment: 42 pages, 6 figures, to appear in Physical Review

Specific isotopic labelling and reverse labelling for protein NMR spectroscopy : using metabolic precursors in sample preparation

The study of protein structure, dynamics and function by NMR spectroscopy commonly requires samples that have been enriched ('labelled') with the stable isotopes 13C and/or 15N. The standard approach is to uniformly label a protein with one or both of these nuclei such that all C and/or N sites are in principle 'NMR-visible'. NMR spectra of uniformly labelled proteins can be highly complicated and suffer from signal overlap. Moreover, as molecular size increases the linewidths of NMR signals broaden, which decreases sensitivity and causes further spectral congestion. Both effects can limit the type and quality of information available from NMR data. Problems associated with signal overlap and signal broadening can often be alleviated though the use of alternative, non-uniform isotopic labelling patterns. Specific isotopic labelling 'turns on' signals at selected sites while the rest of the protein is NMR-invisible. Conversely, specific isotopic unlabelling (also called 'reverse' labelling) 'turns off' selected signals while the rest of the protein remains NMR-visible. Both approaches can simplify NMR spectra, improve sensitivity, facilitate resonance assignment and permit a range of different NMR strategies when combined with other labelling tools and NMR experiments. Here, we review methods for producing proteins with enrichment of stable NMR-visible isotopes, with particular focus on residue-specific labelling and reverse labelling using Escherichia coli expression systems. We also explore how these approaches can aid NMR studies of proteins

Identifying transient and variable sources in radio images

With the arrival of a number of wide-field snapshot image-plane radio transient surveys, there will be a huge influx of images in the coming years making it impossible to manually analyse the datasets. Automated pipelines to process the information stored in the images are being developed, such as the LOFAR Transients Pipeline, outputting light curves and various transient parameters. These pipelines have a number of tuneable parameters that require training to meet the survey requirements. This paper utilises both observed and simulated datasets to demonstrate different machine learning strategies that can be used to train these parameters. We use a simple anomaly detection algorithm and a penalised logistic regression algorithm. The datasets used are from LOFAR observations and we process the data using the LOFAR Transients Pipeline; however the strategies developed are applicable to any light curve datasets at different frequencies and can be adapted to different automated pipelines. These machine learning strategies are publicly available as PYTHON tools that can be downloaded and adapted to different datasets (https://github.com/AntoniaR/TraP_ML_tools)