Ravel’s Gaspard de la Nuit: Extra-musical subtext, and its role within interpretive performance

Few works within the realm of the piano repertoire have amassed a reputation as formidable as Gaspard de la Nuit. These three pieces, each unique in character and pianistic requirements, arguably represent a pinnacle of early 20th-century French piano music. This paper seeks to illuminate points for consideration for the pianist who wishes to embark upon studying the work for performance, and for the musicologist.

I shall first consider the three character poems of Aloysius Bertrand that inspired the suite, as an understanding of these Diabolic creations is essential to understanding the piece analytically and programmatically. I shall then explore the subtitle of Bertrand’s Gaspard de la Nuit: ‘Fantaisies À La Manière De Rembrandt Et De Callot’, as an acknowledgement of these artists helps us better to engage with Bertrand’s poetry, and provides us with a direct link to the visual stimuli for Ravel’s compositions.

Finally, using Ondine as a case study, I shall explore how the composer unifies his inspirations to paint a musical portrait of both the character and the content of Bertrand’s poem. I shall focus on three particular aspects of Ravel’s style: the refined textures that create washes of watery colour, subtle rhythmic variations that imply the ‘deep, rolling currents of the sleeping lake’, and the simple melodic lines sung by the water nymph in the manner of a French air. Each element plays its part in the thematic development that illustrates Ondine’s seductive powers.

Delivery of nucleic acids for cancer gene therapy: overcoming extra- and intra-cellular barriers

The therapeutic potential of cancer gene therapy has been limited by the difficulty of delivering genetic material to target sites. Various biological and molecular barriers exist which need to be overcome before effective nonviral delivery systems can be applied successfully in oncology. Herein, various barriers are described and strategies to circumvent such obstacles are discussed, considering both the extracellular and intracellular setting. Development of multifunctional delivery systems holds much promise for the progression of gene delivery, and a growing body of evidence supports this approach involving rational design of vectors, with a unique molecular architecture. In addition, the potential application of composite gene delivery platforms is highlighted which may provide an alternative delivery strategy to traditional systemic administration.

Continuous statistical modelling for rapid detection of adulteration of extra virgin olive oil using mid infrared and Raman spectroscopic data

The main objective of this work was to develop a novel dimensionality reduction technique as a part of an integrated pattern recognition solution capable of identifying adulterants such as hazelnut oil in extra virgin olive oil at low percentages based on spectroscopic chemical fingerprints. A novel Continuous Locality Preserving Projections (CLPP) technique is proposed which allows the modelling of the continuous nature of the produced in-house admixtures as data series instead of discrete points. The maintenance of the continuous structure of the data manifold enables the better visualisation of this examined classification problem and facilitates the more accurate utilisation of the manifold for detecting the adulterants. The performance of the proposed technique is validated with two different spectroscopic techniques (Raman and Fourier transform infrared, FT-IR). In all cases studied, CLPP accompanied by k-Nearest Neighbors (kNN) algorithm was found to outperform any other state-of-the-art pattern recognition techniques.