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Solider, politician, miner, pioneer, scion of a Founding Father, William Stephen Hamilton led a prolific life. Rough Diamond: The Life of Colonel William Stephen Hamilton examines the tumultuous early Republic period of American history through the life of Alexander Hamilton's son. Born in New York in 1797, the fifth son of Alexander Hamilton, he was only seven when his father was infamously killed in a duel with Vice President Aaron Burr. After resigning from West Point, Hamilton moved to frontier Illinois in 1817. The famous name of Hamilton that may have acquired him rank and prestige at one time was meaningless in a Midwestern frontier society driven by the Jacksonians. Yet, despite bein...
The late William P. Hamilton originally published The Stock Market Barometer in 1922. Hamilton spent a career in financial journalism and became an editor of The Wall Street Journal.
The life of Sir William Hamilton is rich in contradictions: hedonist, scholar and an aesthete with a Rabelaisian streak, he represented the epitome of honourable public service until, as the eighteenth century drew to its climax, his personal life and career were flung into freefall when he became involved in the most scandalous menage a trois of the century. After several years as a soldier, courtier and MP, he turned to the diplomatic world and, in 1764, was sent to Naples as Envoy Extraordinary to the Kingdom of the Two Sicilies. There Hamilton could indulge the two passions: volcanoes and vases. His observations of Vesuvius earned him a Fellowship of the Royal Society. His collection of vases was eventually acquired by the British Museum. Yet, for most people, William Hamilton is not remembered as a diplomat, art-collector and scholar but as the cuckolded husband of Emma Hamilton, mistress of the heroic Lord Nelson. Using the substantial correspondence between them and, for the first time, Hamilton's unpublished notebooks, David Constantine throws new light on the relationship between Sir William and the relentlessly self-improving Emma.
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical sy...
This is the story of a man who wanted to find a cure for cancer when his grandfather died of cancer and so majored in biochemistry. Little did he see, upon demonstrating a precocious and creative approach to the problem, that other eyes were monitoring him for his potential. Little did Dan know that his proposal brought attention from other quarters of the government, quarters that were looking for men with talent like his with fresh new ideas and approaches. Before long three strangers paid Dan a visit one day while he was still an undergraduate at the University of Nevada at Las Vegas and identified themselves as agents for the Department of Naval Intelligence. Dan had never heard of such ...