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1. |
Record Nr. |
UNINA9910255058003321 |
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Autore |
Tarvid Alexander |
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Titolo |
Agent-Based Modelling of Social Networks in Labour–Education Market System / / by Alexander Tarvid |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (102 p.) |
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Collana |
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Understanding Complex Systems, , 2191-5326 |
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Disciplina |
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Soggetti |
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Labor economics |
Game theory |
Sociophysics |
Econophysics |
Physics |
Labor Economics |
Game Theory, Economics, Social and Behav. Sciences |
Data-driven Science, Modeling and Theory Building |
Applications of Graph Theory and Complex Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Social Networks and Labour-Education Market System -- Complex Adaptive Systems and Agent-Based Modelling -- Using Agent-Based Modelling in Studying Labour-Education Market System. |
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Sommario/riassunto |
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This book covers the modelling of human behaviour in the education and labour markets, which due to their interdependency are viewed as one system. Important factors influencing the decision-making of individuals and firms in this system are discussed. The role of social environment and networks is stressed. The approach of agent-based modelling is presented and compared with standard economic modelling and other simulation techniques in the context of modelling complex adaptive systems. Practical questions in building agent-based models of labour–education market system with social networks are discussed. These questions include modelling the structure of education system and agent behaviour there; modelling and calibrating |
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the labour market without and with firms; generating the social network, defining its behaviour and calibrating it; and embedding the resulting system into a larger model. |
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2. |
Record Nr. |
UNINA9910404086803321 |
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Autore |
Avato Pinarosa |
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Titolo |
Natural Products and Drug Discovery |
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Pubbl/distr/stampa |
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MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
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ISBN |
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Descrizione fisica |
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1 online resource (392 p.) |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Natural products hold a prominent position in the current discovery and development of drugs and have diverse indications for both human and animal health. Plants, in particular, play a leading role as a source of specialized metabolites with medical effects. Other organisms, such as marine and terrestrial animals and microorganisms, produce very important drug candidate molecules. Specialized metabolites from these varied natural sources can be used directly as bioactive compounds or drug precursors. In addition, due to their broad chemical diversity, they can act as drug prototypes and/or be used as pharmacological tools for different targets. Some examples of natural metabolites that have been developed into useful medical drug are cardiotonic digoxin from Digitalis sp., antimalarial artemisinin from Artemisia annua, anti-cancer taxol from Taxus sp., or podophyllotoxin from Podophyllum peltatum, which served as a synthetic model for the anti-cancer etoposide. The study of natural products is still attracting great scientific attention and their current importance, as a valuable lead for drug discovery, is undebatable. I cordially invite authors to contribute original articles, as well as survey articles, that give the |
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readers of Molecules **MOLECULES NEEDS TO BE ITALICIZED** updated and new perspectives on natural products in drug discovery, including but not limited to natural sources, identification and separation of bioactive phytochemicals, standardization, new biological targets, pre-clinical and clinical trials, pharmacological effects/side effects, and bioassays. |
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