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Amputation. --- Prosthesis. --- Artificial limbs. --- Rehabilitation. --- Amputación. --- Prótesis. --- Miembros artificiales. --- Rehabilitación.

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This Element uses data from the Springville Project to explore how the functions of the inherited forms invariant be (from English sources) and zero (from creolization) have transformed during the twentieth century. Originally just alternative present tense copula/auxiliary forms, both features developed into aspectual markers - invariant be to mark durativity/habituality and zero to mark nonstativity. The motivation for these innovations were both socio-cultural and linguistic. The Great Migration and its consequences provided a demographic and socio-cultural context within which linguistic innovations could develop and spread. The mismatch between form and function within the present tense copula/auxiliary system and the grammatical ambiguities that affected both invariant be and zero provided linguistic triggers for this reanalysis. When taken together, the evolution of these forms illustrates how restructured linguistic subsystems (and eventually new varieties) emerge out of the interplay between inheritance and innovation.

Black English --- African Americans --- English language --- Languages. --- Dialects --- Variation --- Germanic languages --- African American English --- American black dialect --- Ebonics --- Negro-English dialects --- Languages

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This book is focused on the use of intelligent techniques, such as fuzzy logic, neural networks and bio-inspired algorithms, and their application in medical diagnosis. The main idea is that the proposed method may be able to adapt to medical diagnosis problems in different possible areas of the medicine and help to have an improvement in diagnosis accuracy considering a clinical monitoring of 24 hours or more of the patient. In this book, tests were made with different architectures proposed in the different modules of the proposed model. First, it was possible to obtain the architecture of the fuzzy classifiers for the level of blood pressure and for the pressure load, and these were optimized with the different bio-inspired algorithms (Genetic Algorithm and Chicken Swarm Optimization). Secondly, we tested with a local database of 300 patients and good results were obtained. It is worth mentioning that this book is an important part of the proposed general model; for this reason, we consider that these modules have a good performance in a particular way, but it is advisable to perform more tests once the general model is completed.

Computational intelligence. --- Biomedical engineering. --- Computational Intelligence. --- Biomedical Engineering and Bioengineering. --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Medical applications. --- Data processing

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