Text analytics with Python

Second Language Research: Methodology and Design is a clear, comprehensive overview of cure issues in L2 research. Authored by well-known scholars in SLA and supported by a wealth of examples from actual studies and extensive pedagogical resources, this book first introduces students to the key topics and debates in L2 research. It then guides readers step-by step through the research process - from basic principles and collection methods through study design, and reporting - to the point of being able to conduct their own research from beginning to end.This book is an essential text for students and novice researchers of SLA, applied linguistics, and second and foreign language teaching. Key FeaturesA wealth of graphics, visuals and exercises in each chapter. "Time to think" and "Time to do" boxes within chaptersHelpful glossary and extensive author and subject indicesNew to This EditionSubstantially reorganized chaptersSignificantly expanded chapters on qualitative and mixed methodsS

This book is a comprehensive treatise on infective and inflammatory pathologies of the cornea with corresponding clinical images and diagrammatic illustrations. Corneal infections and inflammations are a major cause of ocular morbidity and visual impairment. Early diagnosis and treatment can lead to improved visual outcome and quality of life.Both infectious (bacterial, fungal, viral and protozoan) and non-infectious keratitis that cause corneal vascularisation, scarring and vision loss are covered extensively. The illustrated clinical findings presented in the form of diagrams, photographs, cases and videos aim to serve as a practical teaching tool for fellows, trainees and practising ophthalmologists. KEY FEATURESFocuses on clinically relevant parts of corneal diseases, using illustrations with arrows indicating different pathologies and signsServes as a ready clinical compendium for trainees, fellows and ophthalmologistsExplores various corneal pathologies through a wealth of accomp

This book provides a significant contribution to the increasing conversation concerning the place of big data in education. Offering a multidisciplinary approach with a diversity of perspectives from international scholars and industry experts, chapter authors engage in both research- and industry-informed discussions and analyses on the place of big data in education, particularly as it pertains to large-scale and ongoing assessment practices moving into the digital space. This volume offers an innovative, practical, and international view of the future of current opportunities and challenges in education and the place of assessment in this context.

Artificial intelligence (AI) stands out as a transformational technology of the digital age. Its practical applications are growing very rapidly. One of the chief reasons AI applications are attaining prominence, is in its design to learn continuously, from real-world use and experience, and its capability to improve its performance.It is no wonder that the applications of AI span from complex high-technology equipment manufacturing to personalized exclusive recommendations to end-users. Many deployments of AI software, given its continuous learning need, require computation platforms that are resource intense, and have sustained connectivity and perpetual power through central electrical grid. In order to harvest the benefits of AI revolution to all of humanity, traditional AI software development paradigms must be upgraded to function effectively in environments that have resource constraints, small form factor computational devices with limited power, devices with intermittent or no

Interoperability in IoT for Smart Systems discusses the different facets of interoperability issues among the IoT devices and their solutions, the scalability issues in an IoT network, and provides solutions for plug-n-play of new devices with the existing IoT system. It also addresses the possible usage of interoperable and plug-n-play IoT networks in different systems to make them smarter. Aimed at researchers and graduate students in computer science, computer engineering, computer networks, electronics engineering, this bookExclusively covers interoperability of IoT systems in parallel with their use towards the development of smart systems Discusses the requirements of interoperability in smart IoT systems and their solutions Reviews IoT applications in different smart and intelligent systems Explores dealing with interoperability of heterogeneous participating devices Provides different case studies and open problems related to interoperability in IoT systems