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Record Nr. |
UNINA9910449980003321 |
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Titolo |
Improving access and use of psychotropic medicines [[electronic resource] ] : mental health policy and service guidance package |
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Pubbl/distr/stampa |
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Geneva, : World Health Organization, 2004 |
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ISBN |
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1-280-08856-7 |
9786610088560 |
1-4175-4657-3 |
92-4-068071-3 |
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Descrizione fisica |
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1 online resource (74 p.) |
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Disciplina |
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Soggetti |
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Psychotropic drugs - Supply and demand |
Mental illness - Chemotherapy |
Electronic books. |
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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. |
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Nota di contenuto |
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Preliminaries; Contents; Preface; Executive summary; 1. Introduction; 2. Improving access to psychotropics; 3. Promoting appropriate use of psychotropics; 4. Assessing a psychotropic access system; 5. A seven-step approach to improving access to psychotropics; Annex 1. Examples of treatment for disorders, including their pharmacological effectiveness; References |
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Sommario/riassunto |
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This module provides practical guidance on how to improve access to psychotropic drugs and promote their effective use. Issues such as the rational selection of drugs, affordability, sustainable financing and the availability of reliable health and supply systems are discussed in order to demonstrate practical ways to promote access. A number of educational, managerial and regulatory strategies to promote the effective use of psychotropic medicines are also highlighted. |
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2. |
Record Nr. |
UNINA9910139246303321 |
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Autore |
Solnon Christine |
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Titolo |
Ant colony optimization and constraint programming [[electronic resource] /] / Christine Solnon |
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Pubbl/distr/stampa |
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London, : ISTE |
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Hoboken, N.J., : Wiley, 2010 |
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ISBN |
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1-118-55756-5 |
1-299-31543-7 |
1-118-61966-8 |
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Descrizione fisica |
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1 online resource (248 p.) |
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Collana |
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Disciplina |
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Soggetti |
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Constraint programming (Computer science) |
Mathematical optimization |
Swarm intelligence |
Ant algorithms |
Electronic books. |
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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 (p. 219-230) and index. |
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Nota di contenuto |
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pt. 1. Constraint programming -- pt. 2. Ant colony optimization -- pt. 3. CP with ACO. |
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Sommario/riassunto |
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Ant colony optimization is a metaheuristic which has been successfully applied to a wide range of combinatorial optimization problems. The author describes this metaheuristic and studies its efficiency for solving some hard combinatorial problems, with a specific focus on constraint programming. The text is organized into three parts. The first part introduces constraint programming, which provides high level features to declaratively model problems by means of constraints. It describes the main existing approaches for solving constraint satisfaction problems, including complete tree search |
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