Nutrition of females during the peri-conceptional period and effects on foetal programming and health of offspring

The period around the time of conception is one characterised by considerable cytological and molecular restructuring as ovulation occurs, the oocyte is fertilised and the embryonic developmental programme begins. The intrinsic processes regulating peri-conceptional progression are supplemented by environmental factors, which contribute important metabolic information that influences several aspects of the developmental programme. Indeed, there is growing evidence from different mammalian animal models, reviewed here, that the peri-conceptional environment mediated through maternal nutrition can modify development throughout gestation and affect the physiological and metabolic health of adult offspring. The concept that adult disease risk may owe its origin to the quality of peri-conceptional maternal nutrition is one, which merits further research for mechanistic understanding and devising preventive strategies. © 2012 Elsevier B.V.

Technology flows, outsourcing and productivity:an analysis of UK trade and FDI

By engaging in trade and foreign direct investment (FDI) with foreign partners, a country can access the R&D and related knowledge stocks of other countries (by accident or by design) and so benefit from those stocks of knowledge at a cost lower than that which would be incurred by developing the knowledge internally. This should lead to beneficial ‘spillover’ effects on the productivity of domestic firms. However, the literature on technology spillovers from trade and FDI is ambiguous in its findings. This may in part be because of the assumption in much of the work that trade and FDI flows are homogeneous in their determinants and thus in their effects. We develop a taxonomy of trade and FDI determinants based on R&D intensity and unit labour cost differentials, and test for the presence of spillovers from inward investment and imports on an extensive sample of UK manufacturing plants. We find that both trade and FDI have measurable spillover effects, but the size of these effects varies depending on the technological and labour cost differentials between the UK and its trading partners. There is therefore an identifiable link between the determinants and effects of trade and FDI which the previous literature has not explored. We also find that absorptive capacity matters for spillovers from FDI, but not from trade. Overall, these findings suggest that the productivity effects of FDI are largely restricted to plants with high absorptive capacity, while the productivity effects of imports occur largely among higher-technology plants regardless of their absorptive capacity.

The microbial ecology of cow slurry in vermiculture beds

The suitability of cow slurry as a substrate for vermicomposting by Eisenia fetida was investigated. Particular attention was given to the effects of the earthworm on the decomposition and stabilisation of the slurry; and to the interactions between E. fetida and the microflora of the substrate. Assessment of the chemical and microbiological changes in cow slurry stored under forced aeration, and subsequently in shallow trays, showed that neither method was suitable for the treatment of slurry. A comparison of two methods of vermicomposting showed that top-feeding of slurry was more efficient in promoting earthworm growth and cocoon production than the mixing of slurry with solid materials. Management practices were found to have an important influence on the efficiency of the process. An investigation o:f the effect of E. fetida. on the decomposition of slurry indicated that the presence of this earthworm enhanced the stabilisation of the substrate and increased the plant-available nitrogen content. Specific nutritional interactions were observed between E. fetida and micro-organisms in sand/cellulose microcosms. The earthworms were found to be feeding directly upon the cells of certain micro-organisms. Other species were found to be toxic to E. fetida.. A technique was developed :for the production of axenic E. fetida., and the use of such earthworms in :feeding experiments confirmed the importance of some micro-organisms in earthworm nutrition. The seeding of vermiculture beds with one such micro-organism stimulated earthworm growth and consumption of the substrate. Vermicomposted mixtures of cow slurry and spent mushroom compost were shown to have potential application as casing materials in mushroom cultivation. The findings of this study indicate the suitability of vermicomposting as a method for the stabilisation of intensively-produced cow slurry, and give some indication of the importance of micro-organisms in the nutrition of E. fetida.

Neural network enhanced self tuning adaptive control application for non-linear control of dynamic systems

The main theme of research of this project concerns the study of neutral networks to control uncertain and non-linear control systems. This involves the control of continuous time, discrete time, hybrid and stochastic systems with input, state or output constraints by ensuring good performances. A great part of this project is devoted to the opening of frontiers between several mathematical and engineering approaches in order to tackle complex but very common non-linear control problems. The objectives are: 1. Design and develop procedures for neutral network enhanced self-tuning adaptive non-linear control systems; 2. To design, as a general procedure, neural network generalised minimum variance self-tuning controller for non-linear dynamic plants (Integration of neural network mapping with generalised minimum variance self-tuning controller strategies); 3. To develop a software package to evaluate control system performances using Matlab, Simulink and Neural Network toolbox. An adaptive control algorithm utilising a recurrent network as a model of a partial unknown non-linear plant with unmeasurable state is proposed. Appropriately, it appears that structured recurrent neural networks can provide conveniently parameterised dynamic models for many non-linear systems for use in adaptive control. Properties of static neural networks, which enabled successful design of stable adaptive control in the state feedback case, are also identified. A survey of the existing results is presented which puts them in a systematic framework showing their relation to classical self-tuning adaptive control application of neural control to a SISO/MIMO control. Simulation results demonstrate that the self-tuning design methods may be practically applicable to a reasonably large class of unknown linear and non-linear dynamic control systems.