This dissertation examines the Arthur & Mata Jaffe Center for the Book Arts (JCBA) at Florida Atlantic University, focusing on creativity. Sixteen artists whose artwork is collected by the center were chosen to provide an overview of the creative process of book artists: Susan Allix, Julie Chen, Béatrice Coron, Johanna Drucker, Timothy Ely, Karen Hanmer, Linda K. Johnson, Marie Marcano, Bea Nettles, Matthew Reinhart, Robert Sabuda, Susan Joy Share, Keith Smith, Beth Thielen, Carol Todaro, and Marshall Weber. The artists and the JCBA were selected for this study not only because these artists‘ books provide a unique opportunity to explore the creative processes of their makers, since many points of creative decision must be made, but also because artist‘s books by definition are often conceived, written, designed, printed, and bound by an individual artist. The list contains several artists who have been important to the historical development of the artist‘s book or pop-up publishing fields. Their influence ranges in scope from the historical to the international, national, and local, especially in terms of the JCBA. This dissertation should be useful to creativity researchers and students of the book arts because it is the first study to use qualitative research and creativity studies as a lens to investigate the artifacts and creative processes of artists in the book arts genre, as well as the first to use the case study approach to examine a book arts center and its educational practices with the focus of creativity research. With these goals in mind, concept maps were first created to document the artists‘ internal and external processes of creation, while master composite maps were compiled to facilitate a meta-analysis of their experienced creativity. The JCBA was then profiled, and its educational programs, practices, and policies were documented in order to describe and demonstrate how it encourages the creativity of book artists, as well as how its creativity-enhancing practices are established and traced into associated organizations. A model of how the organization does this is proposed and discussed with the intention of enhancing this effect at the JCBA and in other book arts organizations. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection

"The CHTE surface hardening simulation tools, CarboNitrideTool© and CarbTool© have been enhanced to improve the accuracy of the simulation and to predict the microstructure and microhardness profiles after the heat treatment process. These tools can be used for the prediction of both gas and low pressure carburizing processes. The steel alloys in the data base include 10XX, 48XX, 51XX, 86XX, 93XX and Pyrowear 53. They have been used by CHTE members to design efficient carburizing cycles to maximum the profit by controlling the cost and time. In the current software, the model has successfully predicted the carbon concentration profiles for gas carburizing process and many low pressure carburizing processes. In some case, the simulation toll may not work well with the low pressure carburizing process, especially with AISI 9310 alloy. In the previous simulation, a constant carbon flux boundary condition was used. However, it has been experimentally proven that the flux is a function of time. The high carbon potential may cause soot and carbides at the outer edge. The soot and carbides will impede the diffusion of carbon during the low pressure carburizing process. The constant carbon flux cannot be appropriately used as the boundary condition. An improved model for the process is proposed. In the modeling, carbon potential and mass transfer coefficient are calculated and used as the boundary condition. CarbonitrideToolⒸ has been developed for the prediction of both carbon and nitrogen profiles for carbonitriding process. The microstructure and hardness profile is also needed by the industry. The nitrogen is an austenite stabilizer which result in high amount of retained austenite (RA). RA plays important role in the hardness. The model has been developed to predict the Martensite start temperature (Ms) which can be used for RA prediction. Mixture rule is used then to predict the hardness profiles. Experiments has been conducted to verify the simulation. The hardness profile is also predicted for tempered carburized alloys. Hollomon-Jaffe equation was used. A matrix of tempering experiments are conducted to study the Hollomon Jaffe parameter for AISI 8620 and AISI 9310 alloy. Constant C value is calculated with a new mathematical method. With the calculation result, the hardness profile can be predicted with input of tempering time and temperature. Case depth and surface hardness are important properties for carburized steel that must be well controlled. The traditional testing is usually destructive. Samples are sectioned and measured by either OES or microhardness tester. It is time consuming and can only be applied on sampled parts. The heat treating industry needs a physics based, verified simulation tool for surface hardening processes to accurately predict concentration profiles, microstructure and microhardness profiles. There is also a need for non-destructive measurement tool to accurately determine the surface hardness and case depth. Magnetic Barkhausen Noise (MBN) is one of the promising way to test the case depth and hardness. MBN measures the pulses generating by the interaction between magnetic domain walls in the ferromagnetic material and the pinning sites such as carbides, impurities and dislocation. These signals are analyzed to evaluate the properties of the carburized steel. "

Using hourly data, we show that the convergence of German and French electricity spot prices depends on the employed generation mix structure, on the trade (export/import) capacity between the two countries, and on characteristics of neighbouring markets. Only when German and French electricity markets employ "similar" generation mixes price spreads vanish, and the likelihood for congestion of electricity flows is significantly reduced. This implies that, at least, a part of the convergence that was documented in recent literature is spurious, because it is not (only) driven by the forces of arbitrage, but by the similarity of the Generation structures. The direction of congestion matters in this regard. Furthermore, we document consistent evidence for the most important predictions of trade theory if markets are characterized by increasing marginal cost (i.e. supply) curves and limited cross-border capacities. (authors' abstract) / Series: Department of Economics Working Paper Series

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Cette thèse décrit la mesure précise de la fonction de structure polarisée g1n du neutron menée par la collaboration E154 à l'automne 1995 auprès de l'accélérateur linéaire de Stanford aux Etats-Unis, par diffusion profondément inélastique inclusive d'un faisceau d'électrons polarisé de 48.3 GeV sur une cible d'Hélium 3 polarisée. Les électrons diffusés ont été détectés par deux spectromètres permettant de couvrir le domaine cinématique en x Bjorken : 0.014 < x < 0.7 et en quadritransfert carré : 1 GeV2 < Q2 < 17 GeV2 à une valeur moyenne Q2 = 5 GeV2. Deux calorimètres électromagnétiques pris en charge par le LPC de Clermont-Ferrand et le SphN du CEA-Saclay ont été utilisés pour déterminer l'énergie des électrons diffusés et pour rejeter le bruit de fond hadronique. Pour cela, nous avons développé un automate cellulaire et un réseau de neurones, largement décrits dans ce manuscrit. L'analyse de la mesure de la fonction de structure g1n menée à Clermont-Fd et exposée dans ce manuscrit nous a conduit à l'intégrale sur la région mesurée : intégrale (g1n(x)dx, xmin=0.0135, xmax=0.7) = -0.03 +- 0.003 STAT +- 0.004 SYST +- 0.001 EVOL à Q2 = 5 GeV2 où nous avons fait évoluer nos mesures vers Q2 = 5 GeV2 à l'aide des équations d'évolution DGLAP à l'ordre sous-dominant en utilisant une paramétrisation mondiale des distributions de partons polarisées. La règle de somme d'Ellis et Jaffe sur le neutron est clairement violée par nos mesures. Pour les différents extrapolations envisagées à bas x, notre intégrale est compatible avec la règle de somme de Bjorken. Nous avons estimé la contribution du spin des quarks au spin du nucléon à DelatSigma = 29 ± 6 % dans le schéma MS barre et à DeltaSigma = 37 ± 7 % dans le schéma AB, à Q2 = 5 GeV2. La contribution du spin des gluons au spin du nucléon semble positive et comprise entre 0 et 2 à cette échelle.

In this paper an analysis is conducted regarding whether a higher classification accuracy of facial expressions are possible. The approach used is that the seven basic emotional states are combined into a binary classification problem. Five different machine learning algorithms are implemented: Support vector machines, Extreme learning Machine and three different Convolutional Neural Networks (CNN). The utilized CNN:S were one conventional, one based on VGG16 and transfer learning and one based on residual theory known as RESNET50. The experiment was conducted on two datasets, one small containing no contamination called JAFFE and one big containing contamination called FER2013. The highest accuracy was achieved with the CNN:s where RESNET50 had the highest classification accuracy. When comparing the classification accuracy with the state of the art accuracy an improvement of around 0.09 was achieved on the FER2013 dataset. This dataset does however include some ambiguities regarding what facial expression is shown. It would henceforth be of interest to conduct an experiment where humans classify the facial expressions in the dataset in order to achieve a benchmark.

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