The book chronicles the history of real-life women detectives, who risked their lives to solve mysteries, catch miscreants, and unearth conspiracies to make both the home and the world a safer place. Beginning with Kate Warne (1833 -1868), the first female detective (who worked for the Pinkerton Detective Agency and saved President Lincoln from being assassinated), the book goes on narrating the tales of some of the sharpest female sleuths who could rival the intelligence and vigor of their male counterparts including: Belle Boyd, who spied for the Confederacy during the American Civil War, riding her horse at breakneck speed between the lines to deliver her dispatches; Vienna-born photographer Edith Taylor, who spotted British traitors working for Stalin in the 1930s - among them, Kim Philby. Also presented is Corrie Ten Boom, who eight hundred men, women, and children from the Nazis during the German occupation of Holland in World War II. And not to be missed, Polish Countess Krystina Skarbe, who spied for Britain in German-occupied Europe only to be abandoned and then stabbed in a London hotel.
This cookbook is a treasury of some of the most delicious cuisines, long-forgotten recipes, and exquisite delicacies from both parts of Bengal--the East (Bangladesh) and the West (West Bengal, India). The great Sunday morning breakfasts, the seasonal delicacies, the puja bhogs (offering), the subtle beauty of the understated vegetarian dishes, the quick evening snacks, a plethora of mouth-watering sweets and telebhajas (deep-fried snacks), and the nostalgic Sandesh-es along with an endless assortment of sherbets (soft drinks) make the cooking of authentic Bengali dishes both a pleasure and art of the highest order. Not only does the book retrieve too many lost Bengali recipes from the ravages of time, but it also includes a rich introduction describing how cooking has always been an integral part of Bengali art, music, literature, and culture.
Budget Optimization and Allocation: An Evolutionary Computing Based Model is a guide for computer programmers for writing algorithms for efficient and effective budgeting. It provides a balance of theory and practice. Chapters explain evolutionary computational techniques (genetic algorithms) and compare these techniques with traditional approaches to budget allocation. A case study on the complex and broad problem of union budgeting of India is presented. The macro and micro economic issues specific to the case discussed, with the growth rate being the final aim of the budget exercise. The authors also present a comparison of the budget allocation practices of different countries, consistent with other factors such as their local economy, culture, population, etc. The use of evolutionary computation to tackle incremental budgeting is also presented. Readers will be able to understand the synergies of modern computational techniques with tried and tested budgeting models. Budget Optimization and Allocation: An Evolutionary Computing Based Model is a useful reference for graduate students, business enterprise programmers, and evolutionary computing/AI researchers who seek to understand new methods of budgeting.
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