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Political philosophy. Social philosophy --- Sun Tzu --- China

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This book systematically presents 40 pests, 7 natural pest enemies, and 20 diseases and weeds commonly encountered in sugarcane production, combining clear colour photos with detailed scientific descriptions. It covers a range of related topics, including morphological identification, habits and frequency of occurrence, prevention and control measures, symptom identification, characteristics of infections and epidemics, parasitic (predator) characteristics, ways of utilising natural pest enemies, main species and distribution, fluctuation in the field, and chemical control of weeds. With novel content presented in simple, straightforward language, the book provides a valuable reference guide for scientific researchers, educators and industrial practitioners, as well as students and advisers at agricultural universities.

Sugarcane --- Diseases and pests. --- Agriculture. --- Plant diseases. --- Plant breeding. --- Plant Pathology. --- Plant Breeding/Biotechnology. --- Crops --- Agriculture --- Breeding --- Botany --- Communicable diseases in plants --- Crop diseases --- Diseases of plants --- Microbial diseases in plants --- Pathological botany --- Pathology, Vegetable --- Phytopathology --- Plant pathology --- Plants --- Vegetable pathology --- Agricultural pests --- Crop losses --- Diseased plants --- Phytopathogenic microorganisms --- Plant pathologists --- Plant quarantine --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural --- Pathology --- Diseases and pests --- Diseases --- Wounds and injuries --- Plant pathology.

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This book systematically presents 40 pests, 7 natural pest enemies, and 20 diseases and weeds commonly encountered in sugarcane production, combining clear colour photos with detailed scientific descriptions. It covers a range of related topics, including morphological identification, habits and frequency of occurrence, prevention and control measures, symptom identification, characteristics of infections and epidemics, parasitic (predator) characteristics, ways of utilising natural pest enemies, main species and distribution, fluctuation in the field, and chemical control of weeds. With novel content presented in simple, straightforward language, the book provides a valuable reference guide for scientific researchers, educators and industrial practitioners, as well as students and advisers at agricultural universities.

Plant physiology. Plant biophysics --- Botany --- Agriculture. Animal husbandry. Hunting. Fishery --- Biotechnology --- plantenziekten --- systematische plantkunde --- bevolking --- landbouw --- biotechnologie

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This work aims to provide an overview of the history and the current academic landscape of the field of ‘social entrepreneurship, considered a sub-field of ‘entrepreneurship. The field of Entrepreneurship as a research field is fairly new and the term ‘entrepreneurship’ is broadly defined amongst its many uses. The definition of social entrepreneurship that will be used as the guiding baseline of this work is the definition proposed by Wee-Liang Tan, John Williams & Teck-Meng Tan(2005)(1) . The main body of this research will consist of a scientometric review, including a co-author analysis, co-word analysis, co-citation analysis. The base for this will be a sample of papers obtained from the Web of Science, of which the parameters will be clarified further in this research. The results will be mapped and visualized through node networks, offering a timeline perspective of the prominent authors, institutions, countries, journals and documents in the field. In addition, it will investigate co-occurrences of citations of authors, documents and journals across the sample. The visualized information will then be analyzed to identify potential drivers, leading actors or leading institutions or research topics of the field. The conclusions of these analyses will be discussed against other reviews, critiques and supporting publications on the field of social entrepreneurship.

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In this thesis, we disclose the evolution and business applications of the emerging field of machine learning by means of a scientometric analysis. This scientometric analysis will examine the scientific research of machine learning of the period 2013-2017. Machine learning will be introduced in the theoretical background to provide a clear perspective to the reader on what ML is and what its building blocks are. First it will focus on how, and in what way machine learning research has evolved by means of analyzing the publication activity of ML research. The publication activity will be analyzed in terms of publication output, document types, research categories, the countries active in the production of the research and its related institutions. Then we will focus on why this period was subjected to an explosive growth of the research by means of a structural analysis. In this structural analysis two scientometric methods will be applied. First, we will examine the dataset by co-occurrence of Author Keywords. After this, we will proceed with a bibliographic-coupling analysis. The last part consists of discussing the results and analyzing how the identified trends in ML research relate to the entrepreneurial sphere.