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[null,"1.","Record Nr.",null,"UNINA9910451186303321"]
[null,null,"Autore",null,"Stronge James H"]
[null,null,"Titolo",null,"Qualities of effective teachers [[electronic resource] /] / James H. Stronge"]
[null,null,"Pubbl/distr/stampa",null,"Alexandria, Va., : Association for Supervision and Curriculum Development, c2007"]
[null,null,"ISBN",null,"1-4166-0605-X"]
[{"$nulls":4},"1-280-92860-3"]
[{"$nulls":4},"9786610928606"]
[{"$nulls":4},"1-4166-0607-6"]
[null,null,"Edizione",null,"[2nd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (220 p.)"]
[null,null,"Disciplina",null,"371.102"]
[null,null,"Soggetti",null,"Effective teaching"]
[{"$nulls":4},"Teacher effectiveness"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Cover; Title Page; Copyright; Dedication; Table of Contents; Acknowledgments; Introduction; Part 1: What It Means to Be an Effective Teacher; Chapter 1: Prerequisites for Effective Teaching; Chapter 2: The Teacher as a Person; Chapter 3: Classroom Management and Organization; Chapter 4: Planning and Organizing for Instruction; Chapter 5: Implementing Instruction; Chapter 6: Monitoring Student Progress and Potential; Chapter 7: Effective Teaching: What Does It All Mean?; Part 2: Teacher Effectiveness: Resources You Can Use; Section I: Teacher Skills Assessment Checklists"]
[{"$nulls":4},"Section II: Teacher Responsibilities and Teacher BehaviorsSection III: Annotated Bibliography; References; Index; About the Author; Search this Book; Related ASCD Resources"]
[null,null,null,"Sommario/riassunto","The 2nd edition of this authoritative book updates the research base and extends its applications to teachers who work with at-risk and high-ability students, emphasizing how teachers can control their own preparation, personality, and practices to influence student achievement."]
[null,"2.","Record Nr.",null,"UNISA996466563303316"]
[null,null,"Autore",null,"Tveito Aslak"]
[null,null,"Titolo",null,"Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes"]
[null,null,"Pubbl/distr/stampa",null,"Springer Nature, 2021"]
[{"$nulls":4},"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021"]
[null,null,"ISBN",null,"3-030-61157-4"]
[null,null,"Edizione",null,"[1st edition 2021.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVII, 100 p. 25 illus. in color.)"]
[null,null,"Collana",null,"Reports on Computational Physiology, , 2730-7735 ; ; 7"]
[null,null,"Disciplina",null,"570.285"]
[null,null,"Soggetti",null,"Bioinformatics"]
[{"$nulls":4},"Cell physiology"]
[{"$nulls":4},"Computational biology"]
[{"$nulls":4},"Excitation (Physiology) - Mathematical models"]
[{"$nulls":4},"Mathematical models"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Derivation of a cell-based mathematical model of excitable cells -- A cell-based model for ionic electrodiffusion in excitable tissue -- Modeling cardiac mechanics on a subcellular scale -- Operator splitting and finite difference schemes for solving the EMI model -- Solving the EMI equations using finite element methods -- Iterative solvers for EMI models -- Improving neural simulations with the EMI model -- Index."]
[null,null,null,"Sommario/riassunto","This open access volume presents a novel computational framework for understanding how collections of excitable cells work. The key approach in the text is to model excitable tissue by representing the individual cells constituting the tissue. This is in stark contrast to the common approach where homogenization is used to develop models where the cells are not explicitly present. The approach allows for very detailed analysis of small collections of excitable cells, but computational challenges limit the applicability in the presence of large collections of cells."]