The history of explosives manufacturing in Hercules began in 1879, when the California Powder Works acquired a site on San Pablo Bay, 20 miles northeast of San Francisco. The powder works, subsequently owned by Dupont and the Hercules Powder Company, produced one of the first internationally branded products: Hercules dynamite. It became the worlds leading producer of TNT during World War I. The town of Hercules was incorporated in 1900, and for nearly 75 years its population remained under 300. The company-owned village had no retail district, but its employee clubhouse was the anchor for the citys social life. After the explosives plant closed, buildings comprising a small historic district were restored, while a diverse residential suburb grew rapidly around it. Hercules chronicles the citys industrial past and a vanishing way of life.
The history of explosives manufacturing in Hercules began in 1879, when the California Powder Works acquired a site on San Pablo Bay, 20 miles northeast of San Francisco. The powder works, subsequently owned by Dupont and the Hercules Powder Company, produced one of the first internationally branded products: Hercules dynamite. It became the worlds leading producer of TNT during World War I. The town of Hercules was incorporated in 1900, and for nearly 75 years its population remained under 300. The company-owned village had no retail district, but its employee clubhouse was the anchor for the citys social life. After the explosives plant closed, buildings comprising a small historic district were restored, while a diverse residential suburb grew rapidly around it. Hercules chronicles the citys industrial past and a vanishing way of life.
The national myths and the efforts to refute them are reliable sources in obtaining a holistic picture of a modern society. My starting point, which was to present the national myths in Modern Greece, turned into questioning “our human capacity” to live in a world distant from myths. A myth may mean from a “false story” to a “philosophical metaphor” and form a “lie” to a “unifying social story”. Myths are so widespread that one suspects that they constitute the norm of human existence. The whole endeavour is related to the construction of modern social identities and to the national perceptions vis-à-vis the self and the Other. The case of Greece illuminates drives that may be encountered in all present-day societies. One may read this book as a guide to get in acquaintance the Greeks, as well. The questions posed in this study are more numerous than the reached conclusions. For example, an unanswered but meaningful question is the following: “The grownups create stories that differ from the stories of children, but still stories that by others may be evaluated as myths. What is the difference between the belief in going to the moon riding a broom to meet a prince and the conviction of going to heaven accompanied by an angel to meet a god?”.
This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.
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