Real-time control of a Tokamak plasma using neural networks

This paper presents results from the first use of neural networks for the real-time feedback control of high temperature plasmas in a Tokamak fusion experiment. The Tokamak is currently the principal experimental device for research into the magnetic confinement approach to controlled fusion. In the Tokamak, hydrogen plasmas, at temperatures of up to 100 Million K, are confined by strong magnetic fields. Accurate control of the position and shape of the plasma boundary requires real-time feedback control of the magnetic field structure on a time-scale of a few tens of microseconds. Software simulations have demonstrated that a neural network approach can give significantly better performance than the linear technique currently used on most Tokamak experiments. The practical application of the neural network approach requires high-speed hardware, for which a fully parallel implementation of the multi-layer perceptron, using a hybrid of digital and analogue technology, has been developed.

Development of photosensitive liposomes for the controlled release of drugs

The facility to controlled triggered release from a “cage” system remains a key requirement for novel drug delivery. Earlier studies have shown that Bis-Azo PC based photosensitive liposomes are beneficial for drug delivery. Thus, the aim of this project was to develop photosensitive liposomes that can be used for the controlled release of drugs through UV irradiation, particularly therapeutic agents for the treatment of psoriasis. Bis-Azo PC was successfully synthesized and incorporated into a range of liposomal formulations, and these liposomes were applied for the controlled release of BSA-FITC. Bis-Azo PC sensitized liposomes were prepared via interdigitation fusion method. IFV containing optimum cholesterol amount in terms of protein loading, stability and photo-trigger release of protein was investigated. Further studies investigated the stability and triggered release of the HMT from IFV. Finally, permeation behavior of HMT and HMT-entrapped IFV through rat skin was examined using Franz cell. Results from protein study indicated that the stable entrapment of the model protein was feasible as shown through fluorescence spectroscopy and maximum of 84% protein release from IFV after 12 min of UV irradiation. Moreover, stability studies indicated that IFV were more stable at 4 0C as compared to 25 0C. Hence, DPPC:Chol:Bis-Azo PC (16:2:1) based IFV was chosen for the controlled release of HMT and these studies exhibited that photo-trigger release and stability data of HMT-entrapped IFV are in line with the protein results. Franz cell work inferred that HMT-entrapped IFV attributed to slower skin permeation as compared to HMT. CLSM also demonstrated that HMT can be used as a fluorescent label for the in vitro skin study. Overall, the work highlighted in this thesis has given useful insight into the potentials of Bis-Azo PC based IFV as a promising carrier for the treatment of psoriasis.