Correlations between the morphology of diffuse and primitive beta-amyloid (A beta) deposits and the frequency of associated cells in Down's syndrome

Correlations between the morphology of beta-amyloid (A beta) deposits and the frequency with which they are associated with neurons and glial cells were studied in Down's syndrome. The diameter of diffuse deposits was positively correlated with the frequency of large (> 25 microns) neuronal cell bodies in the isocortex and with glial cells in the hippocampus. Diameters of primitive deposits were positively correlated with glial cells in the hippocampus and with glial cells and neurons in the isocortex. Staining intensity was positively correlated with glial cells especially in the hippocampus. The data suggest that: (i) diffuse deposits develop from neurons and primitive deposits from glia; (ii) the size of A beta deposits depends on the numbers of neurons and glia; (iii) glial cells are also involved in the conversion of A beta to amyloid; and (iv) the increased density of primitive deposits in the hippocampus is determined by the high density of glial cells.

Trade union policy and new technology: the Civil and Public Services Association

The introduction of a micro-electronic based technology to the workplace has had a far reaching and widespread effect on the numbers and content of jobs. The importance of the implications of new technology were recognised by the trade unions, leading to a plethora of advice and literature in the late 70s and early 80s, notably the TUC 'Technology and Employment ' report. However, studies into the union response have consistently found an overall lack of influence by unions in the introduction of technology. Whilst the advent of new technology has coincided with an industrial relations climate of unprecedented hostility to union activity in the post-war period, there are structural weaknesses in unions in coming to terms with the process of technological change. In particular was the identification of a lack of suitable technological expertise. Addressing itself to this perceived weakness of the union response, this thesis is the outcome of a collaborative project between a national union and an academic institution. The thesis is based on detailed case studies concerning technology bargaining in the Civil Service and the response of the Civil and Public Services Associations (CPSA), the union that represents lower grade white collar civil servants. It is demonstrated that the application of expertise to union negotiators is insufficient on its own to extend union influence and that for unions to effectively come to terms with technology and influence its development requires a re-assessment across all spheres of union activity. It is suggested that this has repercussions for not only the internal organisation and quality of union policy formation and the extent, form and nature of collective bargaining with employer representatives, but also in the relationship with consumer and interest groups outside the traditional collective bargaining forum. Three policy options are developed in the thesis with the 'adversarial' and 'co~operative' options representing the more traditional reactive and passive forms of involvement. These are contrasted with an 'independent participative' form of involvement which was a 'pro-active' policy option and utilised the expertise of the Author in the CPSA's response to technological change.

High-accuracy discrimination of Parkinson’s Disease participants from healthy controls using smartphones

Objective: To test the practicality and effectiveness of cheap, ubiquitous, consumer-grade smartphones to discriminate Parkinson’s disease (PD) subjects from healthy controls, using self-administered tests of gait and postural sway. Background: Existing tests for the diagnosis of PD are based on subjective neurological examinations, performed in-clinic. Objective movement symptom severity data, collected using widely-accessible technologies such as smartphones, would enable the remote characterization of PD symptoms based on self-administered, behavioral tests. Smartphones, when backed up by interviews using web-based videoconferencing, could make it feasible for expert neurologists to perform diagnostic testing on large numbers of individuals at low cost. However, to date, the compliance rate of testing using smart-phones has not been assessed. Methods: We conducted a one-month controlled study with twenty participants, comprising 10 PD subjects and 10 controls. All participants were provided identical LG Optimus S smartphones, capable of recording tri-axial acceleration. Using these smartphones, patients conducted self-administered, short (less than 5 minute) controlled gait and postural sway tests. We analyzed a wide range of summary measures of gait and postural sway from the accelerometry data. Using statistical machine learning techniques, we identified discriminating patterns in the summary measures in order to distinguish PD subjects from controls. Results: Compliance was high all 20 participants performed an average of 3.1 tests per day for the duration of the study. Using this test data, we demonstrated cross-validated sensitivity of 98% and specificity of 98% in discriminating PD subjects from healthy controls. Conclusions: Using consumer-grade smartphone accelerometers, it is possible to distinguish PD from healthy controls with high accuracy. Since these smartphones are inexpensive (around $30 each) and easily available, and the tests are highly non-invasive and objective, we envisage that this kind of smartphone-based testing could radically increase the reach and effectiveness of experts in diagnosing PD.