2 resultados para rapid evolution
em Aston University Research Archive
Resumo:
The aim of this thesis is to examine the approach of the Parti Communiste Francais (from 1956 to 1982) to the emergence of new strata of salaried `intellectual workers' (technicians, engineers, low to middle managers in industry and commerce, scientific researchers, teachers etc) parallelled by the gradual diminution of the traditional industrial working class which forms the core of the Party's support base. This examination is carried out in the context of the debate in France (initiated in the 1950s by social theorists of the Left) on the class membership and role of these strata. The reason for the emergence of such a debate is that in a society given to both a rapid evolution of its social structure and an increased polarisation between Left and Right, a precise knowledge of the objective and subjective determinations of new strata would enable parties to the Left to make proper distinctions between potential allies and adversaries. The thesis posits the view that the PCF has failed to make correct distinctions between its potential allies and adversaries and has thus pursued unsuccessful alliance strategies. The thesis contributes towards a scientifically-based understanding of one of the reasons governing the PCF's steady decline since the 1950s.
Resumo:
Preface. The evolution of cognitive neuroscience has been spurred by the development of increasingly sophisticated investigative techniques to study human cognition. In Methods in Mind, experts examine the wide variety of tools available to cognitive neuroscientists, paying particular attention to the ways in which different methods can be integrated to strengthen empirical findings and how innovative uses for established techniques can be developed. The book will be a uniquely valuable resource for the researcher seeking to expand his or her repertoire of investigative techniques. Each chapter explores a different approach. These include transcranial magnetic stimulation, cognitive neuropsychiatry, lesion studies in nonhuman primates, computational modeling, psychophysiology, single neurons and primate behavior, grid computing, eye movements, fMRI, electroencephalography, imaging genetics, magnetoencephalography, neuropharmacology, and neuroendocrinology. As mandated, authors focus on convergence and innovation in their fields; chapters highlight such cross-method innovations as the use of the fMRI signal to constrain magnetoencephalography, the use of electroencephalography (EEG) to guide rapid transcranial magnetic stimulation at a specific frequency, and the successful integration of neuroimaging and genetic analysis. Computational approaches depend on increased computing power, and one chapter describes the use of distributed or grid computing to analyze massive datasets in cyberspace. Each chapter author is a leading authority in the technique discussed.