A comparison of the economic performance of different micro-states, and between micro-states and larger countries

The economic performance of micro-states and those sub-national regions enjoying a high degree of autonomy is a generally under-researched area. This paper builds on earlier research (Armstrong and Read, 1995) by employing quantitative techniques to test: 1. (a) the extent to which the economic performance of micro-states differs, by comparing their GNP per capita with that of the region in which they are located and with the countries to which they are adjacent; 2. (b) whether some micro-states perform better than others as a result of differences in their economic structure; and 3. (c) whether the rates of growth of micro-states have been faster or slower than those of larger countries. Considerable diversity among micro-states is revealed, although most exhibit strong economic performance.

Development and formulation of wax-based transdermal drug delivery systems

Topical and transdermal formulations are promising platforms for the delivery of drugs. A unit dose topical or transdermal drug delivery system that optimises the solubility of drugs within the vehicle provides a novel dosage form for efficacious delivery that also offers a simple manufacture technique is desirable. This study used Witepsol® H15 wax as a abase for the delivery system. One aspect of this project involved determination of the solubility of ibuprofen, flurbiprofen and naproxen in the was using microscopy, Higuchi release kinetics, HyperDSC and mathematical modelling techniques. Correlations between the results obtained via these techniques were noted with additional merits such as provision of valuable information on drug release kinetics and possible interactions between the drug and excipients. A second aspect of this project involved the incorporation of additional excipients: Tween 20 (T), Carbopol®971 (C) and menthol (M) to the wax formulation. On in vitro permeation through porcine skin, the preferred formulations were: ibuprofen (5% w/w) within Witepsol®H15 + 1% w/w T; flurbiprofen (10% w/w) within Witepsol®H15 + 1% w/w T; naproxen (5% w/w) within Witepsol®H15 + 1% w/w T + 1% C and sodium diclofenac (10% w/w) within Witepsol®H15 + 1% w/w T + 1% w/w T + 1% w/w C + 5% w/w M. Unit dose transdermal tablets containing ibuprofen and diclofenac were produced with improved flux compared to marketed products; Voltarol Emugel® demonstrated flux of 1.68x10-3 cm/h compared to 123 x 10-3 cm/h for the optimised product as detailed above; Ibugel Forte® demonstrated a permeation coefficient value of 7.65 x 10-3 cm/h compared to 8.69 x 10-3 cm/h for the optimised product as described above.

On waveform analysis, the adaptive task technique, and the effect of vibration on manual control skill

A re-examination of fundamental concepts and a formal structuring of the waveform analysis problem is presented in Part I. eg. the nature of frequency is examined and a novel alternative to the classical methods of detection proposed and implemented which has the advantage of speed and independence from amplitude. Waveform analysis provides the link between Parts I and II. Part II is devoted to Human Factors and the Adaptive Task Technique. The Historical, Technical and Intellectual development of the technique is traced in a review which examines the evidence of its advantages relative to non-adaptive fixed task methods of training, skill assessment and man-machine optimisation. A second review examines research evidence on the effect of vibration on manual control ability. Findings are presented in terms of percentage increment or decrement in performance relative to performance without vibration in the range 0-0.6Rms'g'. Primary task performance was found to vary by as much as 90% between tasks at the same Rms'g'. Differences in task difficulty accounted for this difference. Within tasks vibration-added-difficulty accounted for the effects of vibration intensity. Secondary tasks were found to be largely insensitive to vibration except secondaries which involved fine manual adjustment of minor controls. Three experiments are reported next in which an adaptive technique was used to measure the % task difficulty added by vertical random and sinusoidal vibration to a 'Critical Compensatory Tracking task. At vibration intensities between 0 - 0.09 Rms 'g' it was found that random vibration added (24.5 x Rms'g')/7.4 x 100% to the difficulty of the control task. An equivalence relationship between Random and Sinusoidal vibration effects was established based upon added task difficulty. Waveform Analyses which were applied to the experimental data served to validate Phase Plane analysis and uncovered the development of a control and possibly a vibration isolation strategy. The submission ends with an appraisal of subjects mentioned in the thesis title.

Diagenesis and aquifer characteristics of the Sherwood Sandstone Group in North Nottinghamshire

The Sherwood Sandstone Group forms an important aquifer in Eastern England, which in North Nottinghamshire comprises the Nottingham Castle and Lenton Sandstone Formations. The aquifer is formed by an alluvial red-bed sequence dominated by medium-coarse grained sandstones which are texturally immature to submature and have only been subjected to shallow burial diagenesis. These sandstones reached the mature stage of the meso diagenetic regime, and four stages are recognized in their diagenetic history depending upon the physical/chemical processes prevailing and the subsequent effect on porosity and permeability. Stage "One" represents changes including dissolution of unstable silicates, clay replacement, red colouration and precipitation of authigenic minerals (quartz, feldspar, illite, l/S, kaolinite, dolomite, ferroan calcite, calcite). The net result of these changes was porosity reduction. Stage "Two" included changes due to mechanical compaction which resulted in minor porosity reduction. Stage "Three" was the main phase of secondary porosity enhancement. Stage "Four" represents changes taking place in the present groundwater where porosity and permeability may have been increased by dissolution and partly reduced by kaolinite precipitation. Porosity measured by water-resaturation and Hg-injection gave average values of 25.63% and 24.85% respectively. The results are comparable and showed marked correlation especially in highly porous/permeable rocks. Porosity measurements from photomicrographs were markedly offset from laboratory results. Horizontal Kw ranged between 1.43 x 10-5 and 1.13 x 10-1 mm/sec, with an average of  1.68 x 10-2 mm/sec. The estimated KHg ranged between 7.29 x 10-6 and 6.99 x 10-2 mm/sec with an average of 1.47 x 10-2 mm/sec. Both results are significantly correlated for highly porous/permeable rocks. The hydraulic properties are highly dependent upon the diagenetic properties (as most of the pores present are of secondary origin) as well as the pore size distribution. The chemistry of these groundwaters indicates that they are under-saturated with respect to dolomite, calcite, K-feldspar, l/S clay, and montmorillonite. The precipitation of kaolinite,and to a lesser extent illite, is favoured in the present groundwater regime.

Infer user interests via link structure regularization

Learning user interests from online social networks helps to better understand user behaviors and provides useful guidance to design user-centric applications. Apart from analyzing users' online content, it is also important to consider users' social connections in the social Web. Graph regularization methods have been widely used in various text mining tasks, which can leverage the graph structure information extracted from data. Previously, graph regularization methods operate under the cluster assumption that nearby nodes are more similar and nodes on the same structure (typically referred to as a cluster or a manifold) are likely to be similar. We argue that learning user interests from complex, sparse, and dynamic social networks should be based on the link structure assumption under which node similarities are evaluated based on the local link structures instead of explicit links between two nodes. We propose a regularization framework based on the relation bipartite graph, which can be constructed from any type of relations. Using Twitter as our case study, we evaluate our proposed framework from social networks built from retweet relations. Both quantitative and qualitative experiments show that our proposed method outperforms a few competitive baselines in learning user interests over a set of predefined topics. It also gives superior results compared to the baselines on retweet prediction and topical authority identification. © 2014 ACM.