From teaching disadvantaged adolescents to affluent elementary school children, and working with principals ranging from a supportive humanist to a data-nut despot, the second year of Steve Hepting's career is far from boring. Set in 2004, the timeless numbness of the education bureaucracy, the comedic antics of students in the classroom, and the foibles of teacher and support staff colleagues ring as true today as they did then. The life of a school comes alive with zest, pathos, and humor. Given the tortuous career road he has chosen, can Steve ever return to the much more sedate stock broker occupation he once enjoyed?

Woods Cop mystery author Joseph Heywood takes readers to an era when people had to be as hard as the lives they lived. Meet Lute Bapcat, orphan, loner, former cowboy, Rough Rider, beaver trapper, a man who in 1913, with the enthusiastic recommendation by Theodore Roosevelt, himself, becomes one of the Michigan’s first civil service game wardens. His territory: The Keweenaw Peninsula, the state’s industrial center. Featuring a stunning array of characters, fascinating historical detail, and Heywood’s trademark writing about life and work in Michigan’s wild, Red Jacket asks Lute to confront an explosive, bloody labor strike; a siege-like sabotage, including a sudden rash of decapitated, spoiled deer; poisoned trout streams and well water; and unusual deforestation-all apparently designed by mine owners to deny nature’s bounty to the strikers, and thereby to break the union. The strike’s violence culminates in the Italian Hall disaster, during which a man allegedly yells fire in a small building with several hundred people inside. In the panic, 73 people are crushed or die of suffocation, the majority of them the children and wives of striking miners at the hall for a Christmas party. Even with good people dying, the Michigan governor refuses to take sides. Should Lute Bapcat?

This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in Video/Image Processing (UVIP).