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"This edition of The Bluebook retains the same basic approach to legal citation established by its predecessors. Some citation forms have been expanded, reduced, or modified from previous editions." --Preface.
Abkürzung. --- Annotations and citations (Law) --- Annotations and citations (Law). --- Citation of legal authorities --- Citation of legal authorities. --- Citeren. --- Droit --- Fachliteratur. --- Law --- Recht. --- Rechtsbronnen. --- Rechtsliteratuur. --- Recueils juridiques faisant autorité --- Zitat. --- Citations. --- Abbreviations. --- Citation. --- United States. --- Verenigde Staten. --- Abbreviations, Legal --- Legal abbreviations --- Abbreviations
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This Element explores interdisciplinarity in academic writing. It describes the ways in which disciplines interact when forming interdisciplinary fields and how language reflects (and is reflected by) these interactions. Specifically, bibliographical citations are investigated in corpora of research articles from three interdisciplines: Educational Neuroscience, Economic History, and Science and Technology Studies, as well as the single-domain disciplines from which they are derived. Comparisons are carried out between the interdisciplinary fields and between those fields and their related single-domain disciplines. The study combines analysis of quantitative data and qualitative interpretation by means of close reading. It concludes that bibliographical citations constitute a viable tool to explore interdisciplinary writing in the fields explored. The Element demonstrates that it is possible to describe epistemologically distinct types of interdisciplinarity by means of linguistic evidence.
Bibliographical citations. --- Linguistic analysis (Linguistics) --- Analysis, Linguistic (Linguistics) --- Analysis (Philosophy) --- Grammar, Comparative and general --- Bibliographical references --- Citation of sources --- Citations, Bibliographical --- Footnotes, Bibliographical --- References, Bibliographical --- Bibliography --- Methodology
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The term ‘annotation’ is associated in the Humanities and Technical Sciences with different concepts that vary in coverage, application and direction but which also have instructive parallels. This publication mirrors the increasing cooperation that has been taking place between the two disciplines within the scope of the digitalization of the Humanities. It presents the results of an international conference on the concept of annotation that took place at the University of Wuppertal in February 2019. This publication reflects on different practices and associated concepts of annotation in an interdisciplinary perspective, puts them in relation to each other and attempts to systematize their commonalities and divergences. The following dynamic visualizations allow an interactive navigation within the volume based on keywords: Wordcloud ☁ , Matrix ▦ , Edge Bundling ⊛
LITERARY CRITICISM / General. --- Digital humanities. --- Bibliographical citations. --- Bibliographical references --- Citation of sources --- Citations, Bibliographical --- Footnotes, Bibliographical --- References, Bibliographical --- Bibliography --- Humanities --- Methodology --- Data processing --- Information technology --- Annotation. --- digital humanities. --- digitalization interdisciplinarity. --- document processing.
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Bankruptcy prediction is one of the most important research areas in corporate finance. Bankruptcies are an indispensable element of the functioning of the market economy, and at the same time generate significant losses for stakeholders. Hence, this book was established to collect the results of research on the latest trends in predicting the bankruptcy of enterprises. It suggests models developed for different countries using both traditional and more advanced methods. Problems connected with predicting bankruptcy during periods of prosperity and recession, the selection of appropriate explanatory variables, as well as the dynamization of models are presented. The reliability of financial data and the validity of the audit are also referenced. Thus, I hope that this book will inspire you to undertake new research in the field of forecasting the risk of bankruptcy.
Economics, finance, business & management --- ISA 701 --- audit expectation gap --- key audit matters --- materiality --- Poland --- corporate bankruptcy --- forecasting --- fuzzy sets --- artificial neural networks --- decision trees --- bankruptcy prediction --- tax arrears --- payment defaults --- financial ratios --- failure --- bankruptcy --- chapter 11 --- regression count --- meta-analysis --- literature review --- manufacturing insolvency --- prediction --- citation mining --- classification --- credit risk modelling --- corporate failure --- rating systems --- ensemble classifiers --- boosting --- bagging --- stacking --- scoring models --- insolvency --- financial distress --- default --- forecasting methods --- models predicting financial distress --- phases of economic cycle --- Czech Republic --- European large companies --- bankruptcy risk --- company performance --- Principal Component Analysis --- neural networks --- support vector machine --- bankruptcy model
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Global health, conceived as a discipline, aims to train, research and respond to problems of a transboundary nature, in order to improve health and health equity at the global level. The current worldwide situation is ruled by globalization, and therefore the concept of global health involves not only health-related issues, but also those related to the environment and climate change. Therefore, in this Special Issue, the problems related to global health have been addressed from a bibliometric approach in four main areas: environmental issues, diseases, health, education and society.
social networks --- health --- young people --- bibliometric study --- scientometrics --- obesity --- interventions --- children --- youths --- pediatrics --- reclaimed water --- advanced oxidation process --- microorganisms --- concern emergent contaminant --- worldwide --- content analysis --- text mining --- diabetes --- QOL --- artificial intelligence --- machine learning --- bibliometric --- LDA --- HIV/AIDS --- quality of life --- global health --- public health --- scientometric study --- knowledge map --- visualization analysis --- CiteSpace --- COPD --- QoL --- medicinal plants --- drugs --- worldwide research --- bibliometrics --- traditional medicine --- asthma --- HRQoL --- Scival --- patents --- Spain --- Research and Development (R& --- D) --- social returns --- COVID-19 --- biomechanics --- musculoskeletal disorders --- RULA --- ergonomics --- applications --- climate change --- infectious diseases --- bibliometric analysis --- co-word analysis --- biclustering --- strategic diagram --- academic performance --- citation network --- motivation --- microplastics --- network analysis --- VOSviewer software --- research hotspots --- pulmonary disease --- musculoskeletal risks --- wastewater treatment
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Bankruptcy prediction is one of the most important research areas in corporate finance. Bankruptcies are an indispensable element of the functioning of the market economy, and at the same time generate significant losses for stakeholders. Hence, this book was established to collect the results of research on the latest trends in predicting the bankruptcy of enterprises. It suggests models developed for different countries using both traditional and more advanced methods. Problems connected with predicting bankruptcy during periods of prosperity and recession, the selection of appropriate explanatory variables, as well as the dynamization of models are presented. The reliability of financial data and the validity of the audit are also referenced. Thus, I hope that this book will inspire you to undertake new research in the field of forecasting the risk of bankruptcy.
ISA 701 --- audit expectation gap --- key audit matters --- materiality --- Poland --- corporate bankruptcy --- forecasting --- fuzzy sets --- artificial neural networks --- decision trees --- bankruptcy prediction --- tax arrears --- payment defaults --- financial ratios --- failure --- bankruptcy --- chapter 11 --- regression count --- meta-analysis --- literature review --- manufacturing insolvency --- prediction --- citation mining --- classification --- credit risk modelling --- corporate failure --- rating systems --- ensemble classifiers --- boosting --- bagging --- stacking --- scoring models --- insolvency --- financial distress --- default --- forecasting methods --- models predicting financial distress --- phases of economic cycle --- Czech Republic --- European large companies --- bankruptcy risk --- company performance --- Principal Component Analysis --- neural networks --- support vector machine --- bankruptcy model
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Bankruptcy prediction is one of the most important research areas in corporate finance. Bankruptcies are an indispensable element of the functioning of the market economy, and at the same time generate significant losses for stakeholders. Hence, this book was established to collect the results of research on the latest trends in predicting the bankruptcy of enterprises. It suggests models developed for different countries using both traditional and more advanced methods. Problems connected with predicting bankruptcy during periods of prosperity and recession, the selection of appropriate explanatory variables, as well as the dynamization of models are presented. The reliability of financial data and the validity of the audit are also referenced. Thus, I hope that this book will inspire you to undertake new research in the field of forecasting the risk of bankruptcy.
Economics, finance, business & management --- ISA 701 --- audit expectation gap --- key audit matters --- materiality --- Poland --- corporate bankruptcy --- forecasting --- fuzzy sets --- artificial neural networks --- decision trees --- bankruptcy prediction --- tax arrears --- payment defaults --- financial ratios --- failure --- bankruptcy --- chapter 11 --- regression count --- meta-analysis --- literature review --- manufacturing insolvency --- prediction --- citation mining --- classification --- credit risk modelling --- corporate failure --- rating systems --- ensemble classifiers --- boosting --- bagging --- stacking --- scoring models --- insolvency --- financial distress --- default --- forecasting methods --- models predicting financial distress --- phases of economic cycle --- Czech Republic --- European large companies --- bankruptcy risk --- company performance --- Principal Component Analysis --- neural networks --- support vector machine --- bankruptcy model
Choose an application
Global health, conceived as a discipline, aims to train, research and respond to problems of a transboundary nature, in order to improve health and health equity at the global level. The current worldwide situation is ruled by globalization, and therefore the concept of global health involves not only health-related issues, but also those related to the environment and climate change. Therefore, in this Special Issue, the problems related to global health have been addressed from a bibliometric approach in four main areas: environmental issues, diseases, health, education and society.
Research & information: general --- social networks --- health --- young people --- bibliometric study --- scientometrics --- obesity --- interventions --- children --- youths --- pediatrics --- reclaimed water --- advanced oxidation process --- microorganisms --- concern emergent contaminant --- worldwide --- content analysis --- text mining --- diabetes --- QOL --- artificial intelligence --- machine learning --- bibliometric --- LDA --- HIV/AIDS --- quality of life --- global health --- public health --- scientometric study --- knowledge map --- visualization analysis --- CiteSpace --- COPD --- QoL --- medicinal plants --- drugs --- worldwide research --- bibliometrics --- traditional medicine --- asthma --- HRQoL --- Scival --- patents --- Spain --- Research and Development (R& --- D) --- social returns --- COVID-19 --- biomechanics --- musculoskeletal disorders --- RULA --- ergonomics --- applications --- climate change --- infectious diseases --- bibliometric analysis --- co-word analysis --- biclustering --- strategic diagram --- academic performance --- citation network --- motivation --- microplastics --- network analysis --- VOSviewer software --- research hotspots --- pulmonary disease --- musculoskeletal risks --- wastewater treatment
Choose an application
Global health, conceived as a discipline, aims to train, research and respond to problems of a transboundary nature, in order to improve health and health equity at the global level. The current worldwide situation is ruled by globalization, and therefore the concept of global health involves not only health-related issues, but also those related to the environment and climate change. Therefore, in this Special Issue, the problems related to global health have been addressed from a bibliometric approach in four main areas: environmental issues, diseases, health, education and society.
Research & information: general --- social networks --- health --- young people --- bibliometric study --- scientometrics --- obesity --- interventions --- children --- youths --- pediatrics --- reclaimed water --- advanced oxidation process --- microorganisms --- concern emergent contaminant --- worldwide --- content analysis --- text mining --- diabetes --- QOL --- artificial intelligence --- machine learning --- bibliometric --- LDA --- HIV/AIDS --- quality of life --- global health --- public health --- scientometric study --- knowledge map --- visualization analysis --- CiteSpace --- COPD --- QoL --- medicinal plants --- drugs --- worldwide research --- bibliometrics --- traditional medicine --- asthma --- HRQoL --- Scival --- patents --- Spain --- Research and Development (R& --- D) --- social returns --- COVID-19 --- biomechanics --- musculoskeletal disorders --- RULA --- ergonomics --- applications --- climate change --- infectious diseases --- bibliometric analysis --- co-word analysis --- biclustering --- strategic diagram --- academic performance --- citation network --- motivation --- microplastics --- network analysis --- VOSviewer software --- research hotspots --- pulmonary disease --- musculoskeletal risks --- wastewater treatment
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