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1. |
Record Nr. |
UNINA9910461751003321 |
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Autore |
Reed Lori <1972-> |
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Titolo |
Workplace learning & leadership [[electronic resource] ] : a handbook for library and nonprofit trainers / / Lori Reed and Paul Signorelli |
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Pubbl/distr/stampa |
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Chicago, : American Library Association, 2011 |
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ISBN |
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1-283-09918-7 |
9786613099181 |
0-8389-9290-0 |
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Descrizione fisica |
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1 online resource (177 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Library employees - In-service training - United States |
Librarians - In-service training - United States |
Nonprofit organizations - Employees - In-service training - United States |
Employee training personnel |
Career development |
Organizational learning |
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. 151-154) and index. |
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Nota di contenuto |
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In the beginning : getting to the table -- Collaboration : creating a community of learning -- Trainers as internal consultants and facilitators of change -- Preparing to deliver : from initial idea to moment of delivery -- In the middle : trainers as leaders in the classroom -- When learning happens : supporting learners after class -- Learning from success and failure : the importance of effective evaluations -- Master trainers, master learners : training the trainers -- The end is the beginning : leadership and learning in an onsite-online world -- Appendix : Charlotte Mecklenburg Library employee learning and development curriculum. |
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Sommario/riassunto |
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In this practical resource, leading workplace trainers Reed and Signorelli offer guidance on improving the effectiveness of training programs. |
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2. |
Record Nr. |
UNINA9910137237103321 |
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Autore |
Pietro Lio |
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Titolo |
Comprehensive systems biomedicine [[electronic resource] /] / topic editors Enrico Capobianco and Pietro Lió |
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Pubbl/distr/stampa |
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Frontiers Media SA, 2014 |
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[Lausanne, Switzerland] : , : Frontiers Media SA, , 2014 |
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©2014 |
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Descrizione fisica |
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1 online resource (113 pages) : illustrations; digital, PDF file(s) |
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Collana |
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Frontiers research topics |
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Soggetti |
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Genetics |
Biology - General |
Biology |
Health & Biological Sciences |
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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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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references. |
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Sommario/riassunto |
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Systems Biomedicine is a field in perpetual development. By definition a translational discipline, it emphasizes the role of quantitative systems approaches in biomedicine and aims to offer solutions to many emerging problems characterized by levels and types of complexity and uncertainty unmet before. Many factors, including technological and societal ones, need to be considered. In particular, new technologies are providing researchers with the data deluge whose management and exploitation requires a reinvention of cross-disciplinary team efforts. The advent of “omics” and high-content imaging are examples of advances de facto establishing the necessity of systems approaches. Hypothesis-driven models and in silico validation tools in support to all the varieties of experimental applications call for a profound revision. The focus on phases like mining and assimilating the data has substantially increased so to allow for interpretable knowledge to be inferred. Notably, to be able to tackle the newly generated data dimensionality, heterogeneity and complexity, model-free and data-driven intensive applications are increasingly shaping the |
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computational pipelines and architectures that quant specialists set aside of the high-throughput genomics, transcriptomics, proteomics platforms. As for the societal aspects, in many advanced societies health care needs now more than in the past to address the problem of managing ageing populations and their complex morbidity patterns. In parallel, there is a growing research interest on the impact that cross-disciplinary clinical, epidemiological and quantitative modelling studies can have in relation to outcomes potentially affecting the quality of life of many people. Complex systems, including those characterizing biomedicine, are assessed in both their functionality and stability, and also relatively to the capacity of generating information from diversity, variation, and complexity. Due to the combined interactions and effects, such systems embed prediction power available for instance in both target identification or marker discovery, or more generally for conducting inference about patients’ pathological states, i.e. normal versus disease, diagnostic or prognostic analysis, and preventive assessment (e.g., risk evaluation). The ultimate goal, personalized medicine, will be achieved based on the confluence of the system’s predictive power to patient-specific profiling. |
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