Text classification is becoming a crucial task to analysts in different areas. In the last few decades, the production of textual documents in digital form has increased exponentially. Their applications range from web pages to scientific documents, including emails, news and books. Despite the widespread use of digital texts, handling them is inherently difficult - the large amount of data necessary to represent them and the subjectivity of classification complicate matters. This book gives a concise view on how to use kernel approaches for inductive inference in large scale text classification; it presents a series of new techniques to enhance, scale and distribute text classification tasks. It is not intended to be a comprehensive survey of the state-of-the-art of the whole field of text classification. Its purpose is less ambitious and more practical: to explain and illustrate some of the important methods used in this field, in particular kernel approaches and techniques.

This book offers an authoritative review of biopharmaceuticals and their clinical relevance. Biopharmaceuticals have been showing high therapeutic potential by means of biological and biosimilar medicines, particularly for the treatment of cancer, chronic diseases (e.g. diabetes, Crohn's disease, psoriasis and rheumatoid arthritis), neurodegenerative disorders (e.g. multiple sclerosis), and they have also been contributing to the progress of innovative therapies such as assisted reproductive medicine. Since the eighties, several biopharmaceuticals have been approved and, due to patents expiration, many biosimilars are also marketed. In this book, readers will find the most relevant updated information about the main clinical applications of pharmaceutical biotechnology. The authors provide expert analysis about the industrial challenges of recombinant proteins and the different classes of biopharmaceuticals, including monoclonal antibodies, vaccines, growth factors and stem cells. Topics such as bioprinting technologies in tissue engineering, gene therapy and personalized medicine are also covered in this book. Professionals, students and researchers interested in this field will find this work an important account.

This book presents an overview of the convergence of traditional letterpress with contemporary digital design and fabrication practices. Reflecting on the role of letterpress within the emergent hybrid post-digital design process, contributors present historical and contemporary analysis, grounded in case studies and current practice. The main themes covered include the research on letterpress as a technology and medium; a reflection on the contribution of letterpress to arts and design education; and current artistic and communication design practice merging past, present and future digital fabrication processes. This will be of interest to scholars working in graphic design, communication design, book design, typography, typeface design, design history, printing, and production technologies.

This book offers an authoritative review of biopharmaceuticals and their clinical relevance. Biopharmaceuticals have been showing high therapeutic potential by means of biological and biosimilar medicines, particularly for the treatment of cancer, chronic diseases (e.g. diabetes, Crohn's disease, psoriasis and rheumatoid arthritis), neurodegenerative disorders (e.g. multiple sclerosis), and they have also been contributing to the progress of innovative therapies such as assisted reproductive medicine. Since the eighties, several biopharmaceuticals have been approved and, due to patents expiration, many biosimilars are also marketed. In this book, readers will find the most relevant updated information about the main clinical applications of pharmaceutical biotechnology. The authors provide expert analysis about the industrial challenges of recombinant proteins and the different classes of biopharmaceuticals, including monoclonal antibodies, vaccines, growth factors and stem cells. Topics such as bioprinting technologies in tissue engineering, gene therapy and personalized medicine are also covered in this book. Professionals, students and researchers interested in this field will find this work an important account.

This book highlights recent research on Soft Computing, Pattern Recognition, Information Assurance and Security. It presents 38 selected papers from the 10th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018) and the 14th International Conference on Information Assurance and Security (IAS 2018) held at Instituto Superior de Engenharia do Porto (ISEP), Portugal during December 13-15, 2018. SoCPaR - IAS 2018 is a premier conference and brings together researchers, engineers and practitioners whose work involves soft computing and information assurance and their applications in industry and the real world. Including contributions by authors from over 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

Text classification is becoming a crucial task to analysts in different areas. In the last few decades, the production of textual documents in digital form has increased exponentially. Their applications range from web pages to scientific documents, including emails, news and books. Despite the widespread use of digital texts, handling them is inherently difficult - the large amount of data necessary to represent them and the subjectivity of classification complicate matters. This book gives a concise view on how to use kernel approaches for inductive inference in large scale text classification; it presents a series of new techniques to enhance, scale and distribute text classification tasks. It is not intended to be a comprehensive survey of the state-of-the-art of the whole field of text classification. Its purpose is less ambitious and more practical: to explain and illustrate some of the important methods used in this field, in particular kernel approaches and techniques.