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The Market for Academics
This book addresses academic labor markets in three countries: France, Germany, and the United States. The management of faculty careers is a critical issue in university autonomy, and in many countries recent reforms have increasingly addressed this area. Musselin’s exhaustive empirical research on academic job hiring practices and faculty career patterns included over 200 interviews with faculty members and administrators concerning two disciplines: history and math. Each of the countries has very different historical traditions with regard to how peers recruit their colleagues within the academy. Using what is known as an "economics of quality" comparative approach, she sheds new light on faculty worklife. The author’s focus on the criteria of evaluation in academic hiring decisions is a unique contribution and one that should stimulate the current debates on higher education reforms.
Predicting Turning Points in the Interest Rate Cycle (RLE: Business Cycles)
Originally published in 1994 and the recipient of the Stonier Library Award, this volume evaluates an alternative approach – the sequential filter- to managing the uncertainty inherent in the future course of the interest rate cycle. The specific hypothesis is that the sequential filter can produce valuable signals of cyclical peaks and troughs in interest rates. The analysis focusses on US interest rates from April 1953 to December 1988.
Wildlife Review
None
Intelligent Data Engineering and Automated Learning – IDEAL 2016
This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016. The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.
Complexities
Sophie Germain taught herself mathematics by candlelight, huddled in her bedclothes. Ada Byron Lovelace anticipated aspects of general-purpose digital computing by more than a century. Cora Ratto de Sadosky advanced messages of tolerance and equality while sharing her mathematical talents with generations of students. This captivating book gives voice to women mathematicians from the late eighteenth century through to the present day. It documents the complex nature of the conditions women around the world have faced--and continue to face--while pursuing their careers in mathematics. The stories of the three women above and those of many more appear here, each one enlightening and inspiring....
