Most of the world s redundant ships are scrapped on the beaches of the Indian sub-continent, largely by hand. As well as cargo residues and wastes, ships contain high levels of hazardous materials that are released into the surrounding ecology when scrapped. The scrapping process is labour-intensive and largely manual; injuries and death are commonplace.

Ship breaking was a relatively obscure industry until the late 1990s. In just 12 years, action by environmental NGOs has led to the ratification of an international treaty targeting the extensive harm to human and environmental health arising from this heavy, polluting industry; it has also produced important case law.

Attempts to regulate the industry via the "Basel Convention" have resulted in a strong polarization of opinion as to its applicability and various international guidelines have also failed because of their voluntary nature. The adoption of the "Hong Kong Convention" in 2009 was a serious attempt to introduce international controls to this industry."

Google's Programmable Search Engines (PSEs, previously called Custom Search Engines) provide search opportunities that are unavailable with any other tool. PSEs have advanced settings and search operators that are not supported by "regular" Google. With PSEs, it is possible to perform filtered searches within parts of the web as if they were databases! While lots of professionals use existing PSEs to source for talent or with other research goals, few people have experience creating them. Even fewer know about powerful PSE-only search operators. The main reason PSEs are not as popular as they should be is that it is not easy to get educated on PSE creation. There is little information online and no books (other than this one) on the subject. Even less info is available on the "structured" operators that allow for filtered searches. The first of its kind, this book hopes to popularize these fun and powerful tools so that many more people can include PSEs in their work. Key Features: A detailed introduction to creating PSEs, including info absent in Google's help A "hack" for creating PSEs that look for profiles in seconds An introduction to advanced PSE-only search operators allowed to perform filtered searches of parts of the web A "hack" for expanding Google's search limits to 500 terms Use cases, examples, and approaches that would be educational for those doing online research This book will be of interest to researchers, OSINT specialists, investigative journalists, Competitive Intelligence people, recruiters, and Sourcers, to name a few categories, and to the general public interested in how to search better.

Google's Programmable Search Engines (PSEs, previously called Custom Search Engines) provide search opportunities that are unavailable with any other tool. PSEs have advanced settings and search operators that are not supported by "regular" Google. With PSEs, it is possible to perform filtered searches within parts of the web as if they were databases! While lots of professionals use existing PSEs to source for talent or with other research goals, few people have experience creating them. Even fewer know about powerful PSE-only search operators. The main reason PSEs are not as popular as they should be is that it is not easy to get educated on PSE creation. There is little information online and no books (other than this one) on the subject. Even less info is available on the "structured" operators that allow for filtered searches. The first of its kind, this book hopes to popularize these fun and powerful tools so that many more people can include PSEs in their work. Key Features: A detailed introduction to creating PSEs, including info absent in Google's help A "hack" for creating PSEs that look for profiles in seconds An introduction to advanced PSE-only search operators allowed to perform filtered searches of parts of the web A "hack" for expanding Google's search limits to 500 terms Use cases, examples, and approaches that would be educational for those doing online research This book will be of interest to researchers, OSINT specialists, investigative journalists, Competitive Intelligence people, recruiters, and Sourcers, to name a few categories, and to the general public interested in how to search better.

Most of the world’s redundant ships are scrapped on the beaches of the Indian sub-continent, largely by hand. As well as cargo residues and wastes, ships contain high levels of hazardous materials that are released into the surrounding ecology when scrapped. The scrapping process is labour-intensive and largely manual; injuries and death are commonplace. Ship breaking was a relatively obscure industry until the late 1990s. In just 12 years, action by environmental NGOs has led to the ratification of an international treaty targeting the extensive harm to human and environmental health arising from this heavy, polluting industry; it has also produced important case law. Attempts to regulate the industry via the Basel Convention have resulted in a strong polarization of opinion as to its applicability and various international guidelines have also failed because of their voluntary nature. The adoption of the Hong Kong Convention in 2009 was a serious attempt to introduce international controls to this industry.

This monograph is the first survey of neural approaches to conversational AI that targets Natural Language Processing and Information Retrieval audiences. It provides a comprehensive survey of the neural approaches to conversational AI that have been developed in the last few years, covering QA, task-oriented and social bots with a unified view of optimal decision making. The authors draw connections between modern neural approaches and traditional approaches, allowing readers to better understand why and how the research has evolved and to shed light on how they can move forward. They also present state-of-the-art approaches to training dialogue agents using both supervised and reinforcement learning. Finally, the authors sketch out the landscape of conversational systems developed in the research community and released in industry, demonstrating via case studies the progress that has been made and the challenges that are still being faced. Neural Approaches to Conversational AI is a valuable resource for students, researchers, and software developers. It provides a unified view, as well as a detailed presentation of the important ideas and insights needed to understand and create modern dialogue agents that will be instrumental to making world knowledge and services accessible to millions of users in ways that seem natural and intuitive.