Inventions and industry in the art of Howard Finster

This paper examines Finster’s collection of Inventions of Mankind and his paintings of American industrial icons such as Henry Ford and Eli Whitney. Additionally, this study explores Finster’s compulsive artistic productivity and his experimentation with mechanisms designed to create self-sustaining energy. By providing a comprehensive overview of Howard Finster’s fascination with inventions and industry, this paper serves to provide new insight and dimension into the often over-generalized interpretations of his extensive body of work

The Museum/School Partnership: A New Role for Art Museums in K-5 Art Education

For nearly thirty years, the arts have been poorly represented in public school classrooms due to tight budgets, state mandates, and a belief that the arts are not essential to education. In this paper, I will investigate the absence of focused art education curriculum in K-5 classrooms across the United States’ public school system, explain the advantages of reinstating art as a basic subject in the classroom curriculum, and advocate for a more active art museum role in public school elementary art education. The art museum may be in the ideal position to help develop and facilitate programming in K-5 classrooms. By placing teams of art museum professionals in public school classrooms, art museums can establish a prominent role in the museum/school relationship and can help ensure that children have adequate access to art education. The outcome would be children who have greater academic and personal successes throughout their lives.

Graveyards to Glamour : Development of Sexualized Angel Imagery in American Art and Advertising

Images of female angels in American art and advertisements have been sexualized in the late twentieth and early twenty-­‐first centuries. Companies such as Victoria’s Secret have appropriated the image of female angels, which first appeared at the beginning of the nineteenth century, and clothed them in lingerie in order to sell a product. This Masters Research Paper explores the evolution of female angelic imagery in the United States in order to understand how and when the image of angels began to be sexualized and used in advertising. Angels in art have been studied extensively; however, there has been no work done which examines how the angels in art and advertising have been sexualized. Nor has any work been done to map the evolution of female angelic imagery in American art. This Masters Research Paper will fill that gap in scholarship.

Excavations at Nuzi conducted by the Semitic Museum and the Fogg Art Museum of Harvard University, with the coöperation of the American School of Oriental Research at Bagdad.

Mode of access: Internet.

State-of-the-art in lean design engineering:a literature review on white collar lean

Lean is usually associated with the ‘operations’ of a manufacturing enterprise; however, there is a growing awareness that these principles may be transferred readily to other functions and sectors. The application to knowledge-based activities such as engineering design is of particular relevance to UK plc. Hence, the purpose of this study has been to establish the state-of-the-art, in terms of the adoption of Lean in new product development, by carrying out a systematic review of the literature. The authors' findings confirm the view that Lean can be applied beneficially away from the factory; that an understanding and definition of value is key to success; that a set-based (or Toyota methodology) approach to design is favoured together with the strong leadership of a chief engineer; and that the successful implementation requires organization-wide changes to systems, practices, and behaviour. On this basis it is felt that this review paper provides a useful platform for further research in this topic.

A research platform for artificial neural networks with applications in pediatric epilepsy

This dissertation established a state-of-the-art programming tool for designing and training artificial neural networks (ANNs) and showed its applicability to brain research. The developed tool, called NeuralStudio, allows users without programming skills to conduct studies based on ANNs in a powerful and very user friendly interface. A series of unique features has been implemented in NeuralStudio, such as ROC analysis, cross-validation, network averaging, topology optimization, and optimization of the activation function’s slopes. It also included a Support Vector Machines module for comparison purposes. Once the tool was fully developed, it was applied to two studies in brain research. In the first study, the goal was to create and train an ANN to detect epileptic seizures from subdural EEG. This analysis involved extracting features from the spectral power in the gamma frequencies. In the second application, a unique method was devised to link EEG recordings to epileptic and nonepileptic subjects. The contribution of this method consisted of developing a descriptor matrix that can be used to represent any EEG file regarding its duration and the number of electrodes. The first study showed that the inter-electrode mean of the spectral power in the gamma frequencies and its duration above a specific threshold performs better than the other frequencies in seizure detection, exhibiting an accuracy of 95.90%, a sensitivity of 92.59%, and a specificity of 96.84%. The second study yielded that Hjorth’s parameter activity is sufficient to accurately relate EEG to epileptic and non-epileptic subjects. After testing, accuracy, sensitivity and specificity of the classifier were all above 0.9667. Statistical tests measured the superiority of activity at over 99.99 % certainty. It was demonstrated that (1) the spectral power in the gamma frequencies is highly effective in locating seizures from EEG and (2) activity can be used to link EEG recordings to epileptic and non-epileptic subjects. These two studies required high computational load and could be addressed thanks to NeuralStudio. From a medical perspective, both methods proved the merits of NeuralStudio in brain research applications. For its outstanding features, NeuralStudio has been recently awarded a patent (US patent No. 7502763).

A Research Platform for Artificial Neural Networks with Applications in Pediatric Epilepsy

This dissertation established a state-of-the-art programming tool for designing and training artificial neural networks (ANNs) and showed its applicability to brain research. The developed tool, called NeuralStudio, allows users without programming skills to conduct studies based on ANNs in a powerful and very user friendly interface. A series of unique features has been implemented in NeuralStudio, such as ROC analysis, cross-validation, network averaging, topology optimization, and optimization of the activation function’s slopes. It also included a Support Vector Machines module for comparison purposes. Once the tool was fully developed, it was applied to two studies in brain research. In the first study, the goal was to create and train an ANN to detect epileptic seizures from subdural EEG. This analysis involved extracting features from the spectral power in the gamma frequencies. In the second application, a unique method was devised to link EEG recordings to epileptic and non-epileptic subjects. The contribution of this method consisted of developing a descriptor matrix that can be used to represent any EEG file regarding its duration and the number of electrodes. The first study showed that the inter-electrode mean of the spectral power in the gamma frequencies and its duration above a specific threshold performs better than the other frequencies in seizure detection, exhibiting an accuracy of 95.90%, a sensitivity of 92.59%, and a specificity of 96.84%. The second study yielded that Hjorth’s parameter activity is sufficient to accurately relate EEG to epileptic and non-epileptic subjects. After testing, accuracy, sensitivity and specificity of the classifier were all above 0.9667. Statistical tests measured the superiority of activity at over 99.99 % certainty. It was demonstrated that 1) the spectral power in the gamma frequencies is highly effective in locating seizures from EEG and 2) activity can be used to link EEG recordings to epileptic and non-epileptic subjects. These two studies required high computational load and could be addressed thanks to NeuralStudio. From a medical perspective, both methods proved the merits of NeuralStudio in brain research applications. For its outstanding features, NeuralStudio has been recently awarded a patent (US patent No. 7502763).