Beloved America, I have loved you with an everlasting love. I will sing over you with poems and songs. I will reveal my love to you through mercy and justice. It is within your heart that my light can grow if you would only allow it. It is my light that will lead you to the Truth, for it is knowing the Truth that will set you free. Therefore, open your eyes and incline your ear to me, and if you do, I will do wonders in your midst. With love, God 1
Post-industrial landscape scars are traces of 20th century utopian visions of society; they relate to fear and resistance expressed by popular movements and to relations between industrial workers and those in power. The metaphor of the scar pinpoints the inherent ambiguity of memory work by signifying both positive and negative experiences, as well as the contemporary challenges of living with these physical and mental marks. In this book, Anna Storm explores post-industrial landscape scars caused by nuclear power production, mining, and iron and steel industry in Malmberget, Kiruna, Barsebäck and Avesta in Sweden; Ignalina and Visaginas/Snie?kus in Lithuania/former Soviet Union; and Duisburg in the Ruhr district of Germany. The scars are shaped by time and geographical scale; they carry the vestiges of life and work, of community spirit and hope, of betrayed dreams and repressive hierarchical structures. What is critical, Storm concludes, is the search for a legitimate politics of memory. The meanings of the scars must be acknowledged. Past and present experiences must be shared in order shape new understandings of old places.
This thesis takes the first step towards the creation of a synthetic classifier fusion-testing environment. The effects of data correlation on three classifier fusion techniques were examined. The three fusion methods tested were the ISOC fusion method (Haspert, 2000), the ROC "Within" Fusion method (Oxley and Bauer, 2002) and the simple use of a Probabilistic Neural Network (PNN) as a fusion tool. Test situations were developed to allow the examination of various levels of correlation both between and within feature streams. The effects of training a fusion ensemble on a common dataset versus an independent data set were also contrasted. Some incremental improvements to the ISOC procedure were discovered in this process.
Little Peeper pops into the world loved and cared for by Ma and Pa Penguin. They have a ball in their winter wonderland playing, sledding and welcoming Peeper into the community. One day, Peeper starts out on an adventure that takes him at least five minutes out of his safe space into the wilds of Alaska! He soon meets some very fun and lively characters including sled dogs, Wally Walrus, Sally Seal, Coby Caribou, Sammy Salmon, a few Eskimos and eventually Paul and Patty Polar Bear. With determined parents and wonderful new friends, Little Peeper is rescued and learns some valuable lessons about life, love and friendship. For Little Peeper updates and more, visit cecilystorm.com
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