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Without immunization, an average of three out of every hundred children born will die from measles. Another two will die from whooping cough. One more will die from tetanus. And out of every two hundred children, one will be disabled by polio.The four prime health messages in this chapter can help to prevent these tragedies. Children can be protected against these diseases by vaccines. But even when the service is available, many of the infants who need it are not brought for the full course of immunizations.
It is not yet widely known that birth spacing is one of the most powerful ways of improving the health of women and children. Births which are too many or too close to women who are too old or too young are responsible for approximately one third of all infant deaths world-wide. The four prime health messages of this chapter can therefore help to prevent the deaths of over three million children and 200,000 women each year.
Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data
Global climate change has created unprecedented challenges for human civilization due to its widespread adverse consequences, including a reduction in crop yield and threatening food security across the globe. Among the crop plants, legumes have great potential for ameliorating global warming since they can reduce carbon emissions by lowering reliance on the application of chemical fertilizers, by increasing nitrification and carbon sequestration in soil, and by providing protein-rich diets to both humans and livestock. This book identifies the extent of climate-induced stresses on legume plants and focuses on achieving food security through sustainable agricultural practices. This book compiles recent research findings and reviews on climate-related problems, the potential of legumes in ameliorating the impacts of climate change, as well as better management of agricultural land and practices for achieving environmental sustainability and food security. This book will serve as guidelines for scientists, agricultural practitioners, and policymakers working to achieve food security and better management of climate-induced stresses in agricultural interventions. It will also be useful as a reference book for researchers and students of both graduate and postgraduate levels. Furthermore, this book will provide enhanced knowledge about the mechanisms of yield and stress tolerance of legumes as well as developing climate-smart crops and improving cropping systems for a sustainable environment and food security. Features of the book Reviews trends of global climate change and its consequences for food security across the continents Identifies the challenges and scopes of cultivating legumes in achieving food security in the context of global climate change Focuses on the improvements of legume production through conservation approaches in agricultural practices and modern techniques, including omics-based breeding, biotechnology, genetic engineering, and rhizobium technology Discusses the sustainable amelioration options for soils affected by climate-induced stresses Cites examples of applications of rhizobium technologies in reducing greenhouse gas emission Describes pathways associated with yield, resistance, and tolerance of legumes to climate-induced stresses
This completely revised edition builds on the framework provided by the earlier text. It traces the history of development communication, presents and critiques diverse approaches and their proponents, and provides ideas and models for development communication in the new century.
Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.