Science and its offshoot, technology, enter into the very fabric of our society in so many ways that we cannot imagine life without them. We are surrounded by crises and debates over climate change, stem-cell research, AIDS, evolutionary theory and “intelligent design,” the use of DNA in solving crimes, and many other issues. Society is virtually forced to follow our natural tendency, which is to give great weight to the opinions of scientific experts. How is it that these experts have come to acquire such authority, and just how far does their authority reach? Does specialized knowledge entitle scientists to moral authority as well? How does scientific authority actually function in our society, and what are the countervailing social forces (including those deriving from law, politics, and religion) with which it has to contend? Theodore Brown seeks to answer such questions in this magisterial work of synthesis about the role of science in society. In Part I, he elucidates the concept of authority and its relation to autonomy, and then traces the historical growth of scientific authority and its place in contemporary American society. In Part II, he analyzes how scientific authority plays out in relation to other social domains, such as law, religion, government, and the public sphere.

The two-volume set LNCS 10174 and 10175 constitutes the refereed proceedings of the 20th IACR International Conference on the Practice and Theory in Public-Key Cryptography, PKC 2017, held in Amsterdam, The Netherlands, in March 2017. The 34 revised papers presented were carefully reviewed and selected from 160 submissions. They are organized in topical sections such as Cryptanalysis, Protocols, Encrpytion Schemes, Leakage-Resilient and Non-Malleable Codes, Number Theory and Diffie-Hellman, Encryption with Access Control, Special Signatures, Fully Homomorphic Encryption, Real-World Schemes, Multiparty Computation and Primitives.

A fascinating collection of tales and lore from the ancient Oracle at Delphi, this book provides both a collection of good stories and finds spiritual enlightenment weaved throughout these diverse offerings.

This book reviews selected topics charterized by great progress and covers the field from theoretical areas to experimental ones. It contains fundamental areas, quantum query complexity, quantum statistical inference, quantum cloning, quantum entanglement, additivity. It treats three types of quantum security system, quantum public key cryptography, quantum key distribution, and quantum steganography. A photonic system is highlighted for the realization of quantum information processing.

Powerful Devices studies spiritual warfare performances as an apparatus for disestablishing structures of power and knowledge, and establishing righteousness in their stead. Drawing on performance studies’ emphasis on radicality and breaking of social norms as devices of social transformation, the book demonstrates how Christian groups with dominant cultural power but who perceive themselves as embattled wield the ideas of performance activism. Combining religious studies with ethnography, Powerful Devices explores Nigerian Pentecostals and US Evangelicals’ praxis of transnational spiritual warfare. By closely studying spiritual warfare prayers as a “device,” Powerful Devices shows how the rituals of prayer enable an apprehension of time, paradigms of self-enhancement, and the subversion of politics and authority. A critical intervention, Powerful Devices explores charismatic Christianity’s relationship to science and secular authority, technology and temporality, neoliberalism, and reactionary ideology.

This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains.