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In recent years, there has been a tremendous amount of research activity in the general area of population dynamics, particularly the Lotka-Volterra system, which has been a rich source of mathematical ideas from both theoretical and application points of view. In spite of the technological advances, many authors seem to be unaware of the bulk of the work that has been done in this area recently. This often leads to duplication of work and frustration to the authors as well as to the editors of various journals. This book is built out of lecture notes and consists of three chapters written by four mathematicians with overlapping expertise that cover a broad sector of the research in this area. Each chapter consists of carefully written introductory exposition, main breakthroughs, open questions and bibliographies. The chapters present recent developments on topics involving the dynamic behavior of solutions and topics such as stability theory, permanence, persistence, extinction, existence of positive solutions for the Lotka-Volterra and related systems. This fills a void in the literature, by making available a source book of relevant information on the theory, methods and applications of an important area of research.
Lotka-Volterra equations. --- Population biology --- Predator-prey equations --- Biology --- Differential equations, Nonlinear --- Mathematical models. --- Mathematical models --- Lotka-Volterra System. --- Population Dynamics.
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Mit dem Werk »Elements of Physical Biology« von 1925 mathematisierte Alfred James Lotka die ganze Welt. Dies gelang, weil er sämtliche Prozesse als Energieumwandlungen verstand. Ariane Tanner analysiert die Entstehungszusammenhänge und die Wirkungen von Lotkas Weltentwurf im 20. Jahrhundert.
System design. --- Wissenschaftstheorie --- Wissensgeschichte --- Ökologiegeschichte --- Energetik --- Systemökologie --- Lotka-Volterra-Gleichungen --- Systembegriff --- Wissenschaftsgeschichte --- 19.-21. Jahrhundert
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Information science --- Bibliometrics --- Library statistics --- Libraries --- Library science --- Statistics --- Books --- Bibliography --- Statistical bibliography --- Informetrics --- Communication --- Information literacy --- Mathematical models --- Statistical methods --- Lotka, Alfred J. --- Lotka, Alfred James, --- Library research
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This book describes the variety of direct and indirect population size estimation (PSE) methods available along with their strengths and weaknesses. Direct estimation methods, such as enumeration and mapping, involve contact with members of hard-to-reach groups. Indirect methods have practical appeal because they require no contact with members of hard-to-reach groups. One indirect method in particular, network scale-up (NSU), has several strengths over other PSE methods: It can be applied at a province/country level, it can estimate size of several hard-to-reach population in a single study, and it is implemented with members of the general population rather than members of hard-to-reach groups. The book discusses methods to collect, analyze, and adjust results and presents methods to triangulate and finalize PSEs.
Epidemiology. --- Biomathematics. --- Genetics and Population Dynamics. --- Biology --- Mathematics --- Diseases --- Public health --- Epidemiologia --- Biomatemàtica --- Biologia --- Matemàtica --- Model de Lotka-Volterra --- Biometria --- Salut pública --- Comorbiditat --- Epidèmies --- Epidemiologia molecular --- Farmacoepidemiologia --- Morbiditat --- Malalties
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As is known, an objective assessment of scientific activity is one of the most difficult problems, in terms of the relationship within itself as well as with society. However, for many decades, the significance of scientists’ contribution to the development of the corresponding branch of science was assessed by the scientific community only by meaningful qualitative criteria, wherein the principle and mechanism of such an assessment was actually intuitive and defied quantitative description. That is why the urgent task was undertaken to create a system for evaluating scientific activity based on some objective indicators of the activity of a particular scientist; in search of such criteria, in the 1970s–1980s, the term “citation index” appeared. Although a close examination of this indicator revealed its limitations and in a number of cases even inadequacy in assessing scientific activity, it has nevertheless since the 1990s gained very wide popularity in the scientific community. This has contributed to the emergence of numerous works aimed at finding new and ideal indicators for assessing publication activity (so-called bibliometric indices). To date, several dozen such indices have been proposed, the most significant of which was the so-called Hirsch index or h-index. Nevertheless, despite the incredibly significant advances in this specific area of sociology, the above problem is still far from resolved. In this regard, the key task of this Special Issue is to familiarize its readers with the latest achievements both in the search for new, more advanced bibliometric indicators and in the improvement of existing ones.
Humanities --- Social interaction --- conference indicator --- conference impact factor --- conference accreditation --- bibliometric measure --- n/a --- scientometrics --- scientometric indicators --- Russian professors --- sociological polls --- scientometric politics --- scientometric indexes --- scholarly publications --- scientific contribution of individual --- author-suggested weighted citation index --- bibliometric --- human capital --- universities --- trends --- higher education --- citation analysis --- emerging country --- Kazakhstan --- Lotka’s law --- network analysis --- publication trend --- research productivity --- scientific activity --- technology assessment --- research collaboration --- patent analysis --- bibliometric indicators --- sustainable development goals --- systematic review --- meta-analysis --- academic surgery --- Lotka's law
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As is known, an objective assessment of scientific activity is one of the most difficult problems, in terms of the relationship within itself as well as with society. However, for many decades, the significance of scientists’ contribution to the development of the corresponding branch of science was assessed by the scientific community only by meaningful qualitative criteria, wherein the principle and mechanism of such an assessment was actually intuitive and defied quantitative description. That is why the urgent task was undertaken to create a system for evaluating scientific activity based on some objective indicators of the activity of a particular scientist; in search of such criteria, in the 1970s–1980s, the term “citation index” appeared. Although a close examination of this indicator revealed its limitations and in a number of cases even inadequacy in assessing scientific activity, it has nevertheless since the 1990s gained very wide popularity in the scientific community. This has contributed to the emergence of numerous works aimed at finding new and ideal indicators for assessing publication activity (so-called bibliometric indices). To date, several dozen such indices have been proposed, the most significant of which was the so-called Hirsch index or h-index. Nevertheless, despite the incredibly significant advances in this specific area of sociology, the above problem is still far from resolved. In this regard, the key task of this Special Issue is to familiarize its readers with the latest achievements both in the search for new, more advanced bibliometric indicators and in the improvement of existing ones.
conference indicator --- conference impact factor --- conference accreditation --- bibliometric measure --- n/a --- scientometrics --- scientometric indicators --- Russian professors --- sociological polls --- scientometric politics --- scientometric indexes --- scholarly publications --- scientific contribution of individual --- author-suggested weighted citation index --- bibliometric --- human capital --- universities --- trends --- higher education --- citation analysis --- emerging country --- Kazakhstan --- Lotka’s law --- network analysis --- publication trend --- research productivity --- scientific activity --- technology assessment --- research collaboration --- patent analysis --- bibliometric indicators --- sustainable development goals --- systematic review --- meta-analysis --- academic surgery --- Lotka's law
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This beautifully crafted book collects images, which were created during the process of research in all fields of theoretical biology. Data analysis, numerical treatment of a model, or simulation results yield stunning images, which represent pieces of art just by themselves. The approach of the book is to present for each piece of visualization a lucid synopsis of the scientific background as well as an outline of the artistic vision. .
Systems biology. --- Mathematics. --- Visualization. --- Fine arts. --- Bioinformatics. --- Systems Biology. --- Fine Arts. --- Computational Biology/Bioinformatics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Visualisation --- Imagination --- Visual perception --- Imagery (Psychology) --- Math --- Science --- Bioinformatics --- Biological systems --- Molecular biology --- Data processing --- Biomatemàtica --- Biologia --- Matemàtica --- Model de Lotka-Volterra --- Biometria
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As is known, an objective assessment of scientific activity is one of the most difficult problems, in terms of the relationship within itself as well as with society. However, for many decades, the significance of scientists’ contribution to the development of the corresponding branch of science was assessed by the scientific community only by meaningful qualitative criteria, wherein the principle and mechanism of such an assessment was actually intuitive and defied quantitative description. That is why the urgent task was undertaken to create a system for evaluating scientific activity based on some objective indicators of the activity of a particular scientist; in search of such criteria, in the 1970s–1980s, the term “citation index” appeared. Although a close examination of this indicator revealed its limitations and in a number of cases even inadequacy in assessing scientific activity, it has nevertheless since the 1990s gained very wide popularity in the scientific community. This has contributed to the emergence of numerous works aimed at finding new and ideal indicators for assessing publication activity (so-called bibliometric indices). To date, several dozen such indices have been proposed, the most significant of which was the so-called Hirsch index or h-index. Nevertheless, despite the incredibly significant advances in this specific area of sociology, the above problem is still far from resolved. In this regard, the key task of this Special Issue is to familiarize its readers with the latest achievements both in the search for new, more advanced bibliometric indicators and in the improvement of existing ones.
Humanities --- Social interaction --- conference indicator --- conference impact factor --- conference accreditation --- bibliometric measure --- scientometrics --- scientometric indicators --- Russian professors --- sociological polls --- scientometric politics --- scientometric indexes --- scholarly publications --- scientific contribution of individual --- author-suggested weighted citation index --- bibliometric --- human capital --- universities --- trends --- higher education --- citation analysis --- emerging country --- Kazakhstan --- Lotka's law --- network analysis --- publication trend --- research productivity --- scientific activity --- technology assessment --- research collaboration --- patent analysis --- bibliometric indicators --- sustainable development goals --- systematic review --- meta-analysis --- academic surgery --- conference indicator --- conference impact factor --- conference accreditation --- bibliometric measure --- scientometrics --- scientometric indicators --- Russian professors --- sociological polls --- scientometric politics --- scientometric indexes --- scholarly publications --- scientific contribution of individual --- author-suggested weighted citation index --- bibliometric --- human capital --- universities --- trends --- higher education --- citation analysis --- emerging country --- Kazakhstan --- Lotka's law --- network analysis --- publication trend --- research productivity --- scientific activity --- technology assessment --- research collaboration --- patent analysis --- bibliometric indicators --- sustainable development goals --- systematic review --- meta-analysis --- academic surgery
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population dynamics --- Mathematical models --- Dynamic models --- biology --- genetics --- ecology --- Evolution (Biology) --- Game theory --- Population biology --- Volterra equations --- 519.83 --- 519.83 Theory of games --- Theory of games --- Equations, Volterra --- Integral equations --- Games, Theory of --- Mathematics --- General ecology and biosociology --- Game theory. --- Volterra equations. --- Mathematical models. --- Evolution --- Game Theory. --- Models, Theoretical. --- Population Dynamics. --- Evolution (Biologie) --- Biologie des populations --- Théorie des jeux --- Volterra, Equations de --- Modèles mathématiques --- Evolution (Biology) - Mathematical models --- Population biology - Mathematical models --- Equation lotka-volterra
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Epidemiology --- Biomathematics --- Mathematical models --- Mathematical models. --- Diseases --- Public health --- Epidemiologia --- Models matemàtics --- Biomatemàtica --- Biologia --- Matemàtica --- Model de Lotka-Volterra --- Biometria --- Models (Matemàtica) --- Models experimentals --- Models teòrics --- Mètodes de simulació --- Anàlisi de sistemes --- Mètode de Montecarlo --- Modelització multiescala --- Models economètrics --- Models lineals (Estadística) --- Models multinivell (Estadística) --- Models no lineals (Estadística) --- Programació (Ordinadors) --- Simulació per ordinador --- Teoria de màquines --- Models biològics --- Salut pública --- Comorbiditat --- Epidèmies --- Epidemiologia molecular --- Farmacoepidemiologia --- Morbiditat --- Malalties
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