A Dr Gideon Fell mystery from Golden Age author John Dickson Carr In the quaint English village of Sodbury Cross, pretty Marjorie Wills is suspected of poisoning chocolates in the local confectionary shop. Her uncle, the wealthy Marcus Chesney, believes eyewitnesses are unreliable. To prove his point, he sets up a clever test in front of three witnesses and a camera. They are asked to watch a staged series of events, during which a masked man enters the room to 'poison' Chesney by feeding him a large green capsule. As expected, the experiment concludes and no one can agree on what took place, except that Marcus Chesney is dead... How is that possible? And who is the culprit? It takes Dr. Gideon Fell to unravel this Golden Age classic.
The image of a giant sword melting stands at the structural and thematic heart of the Old English heroic poem Beowulf. This meticulously researched book investigates the nature and significance of this golden-hilted weapon and its likely relatives within Beowulf and beyond, drawing on the fields of Old English and Old Norse language and literature, liturgy, archaeology, astronomy, folklore and comparative mythology. In Part I, Pettit explores the complex of connotations surrounding this image (from icicles to candles and crosses) by examining a range of medieval sources, and argues that the giant sword may function as a visual motif in which pre-Christian Germanic concepts and prominent Christian symbols coalesce. In Part II, Pettit investigates the broader Germanic background to this image, especially in relation to the god Ing/Yngvi-Freyr, and explores the capacity of myths to recur and endure across time. Drawing on an eclectic range of narrative and linguistic evidence from Northern European texts, and on archaeological discoveries, Pettit suggests that the image of the giant sword, and the characters and events associated with it, may reflect an elemental struggle between the sun and the moon, articulated through an underlying myth about the theft and repossession of sunlight. The Waning Sword: Conversion Imagery and Celestial Myth in 'Beowulf' is a welcome contribution to the overlapping fields of Beowulf-scholarship, Old Norse-Icelandic literature and Germanic philology. Not only does it present a wealth of new readings that shed light on the craft of the Beowulf-poet and inform our understanding of the poem’s major episodes and themes; it further highlights the merits of adopting an interdisciplinary approach alongside a comparative vantage point. As such, The Waning Sword will be compelling reading for Beowulf-scholars and for a wider audience of medievalists.
Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.
Reprint of the original, first published in 1871. The publishing house Anatiposi publishes historical books as reprints. Due to their age, these books may have missing pages or inferior quality. Our aim is to preserve these books and make them available to the public so that they do not get lost.
