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Intercultural Knowledge Sharing in MNCs : A Glocal and Inclusive Approach in the Digital Age / / by Fabrizio Maimone
| Intercultural Knowledge Sharing in MNCs : A Glocal and Inclusive Approach in the Digital Age / / by Fabrizio Maimone |
| Autore | Maimone |
| Edizione | [1st ed.. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2018 |
| Descrizione fisica | 1 online resource (XVII, 195 p. 15 illus., 12 illus. in color.) |
| Disciplina | 658.4038 |
| Altri autori (Persone) | Fabrizio |
| Soggetto topico |
Knowledge management
Industrial organization International business enterprises Telemarketing Internet marketing Knowledge Management Organization International Business Digital Marketing |
| ISBN |
9783319572970
3319572970 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. Culture, Glocalization, Complexity -- 3. Organizational Knowledge and Intercultural Management -- 4. Intercultural Knowledge Sharing in MNCs, Towards a Complex and Dynamic Model -- 5. Toward an Integrated and Inclusive Approach to Intercultural Knowledge Sharing -- 6. An Integrated Approach to Facilitate Knowledge Sharing Among and Beyond Cultural Barriers, Using Social Media. |
| Record Nr. | UNINA-9910298191403321 |
Maimone
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| Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematics for neuroscientists / / Fabrizio Gabbiani, Steven J. Cox
| Mathematics for neuroscientists / / Fabrizio Gabbiani, Steven J. Cox |
| Autore | Gabbiani |
| Edizione | [1版.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier, 2010 |
| Descrizione fisica | 1 online resource (505 p.) |
| Disciplina |
612.8
612.80151 |
| Altri autori (Persone) |
CoxSteven J.
Fabrizio |
| Collana | Elsevier science & technology books |
| Soggetto topico |
Medicine - Mathematics
Neurosciences |
| ISBN |
1-282-76902-2
9786612769023 0-08-089049-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front cover; Mathematics for Neuroscientists; Copyright page; Full Contents; Preface; Chapter 1. Introduction; 1.1. How to Use This Book; 1.2. Brain Facts Brief; 1.3. Mathematical Preliminaries; 1.4. Units; 1.5. Sources; Chapter 2. The Passive Isopotential Cell; 2.1. Introduction; 2.2. The Nernst Potential; 2.3. Membrane Conductance; 2.4. Membrane Capacitance and Current Balance; 2.5. Synaptic Conductance; 2.6. Summary and Sources; 2.7. Exercises; Chapter 3. Differential Equations; 3.1. Exact Solution; 3.2. Moment Methods*; 3.3. The Laplace Transform*; 3.4. Numerical Methods
3.5. Synaptic Input 3.6. Summary and Sources; 3.7. Exercises; Chapter 4. The Active Isopotential Cell; 4.1. The Delayed Rectifier Potassium Channel; 4.2. The Sodium Channel; 4.3. The Hodgkin-Huxley Equations; 4.4. The Transient Potassium Channel*; 4.5. Summary and Sources; 4.6. Exercises; Chapter 5. The Quasi-Active Isopotential Cell; 5.1. The Quasi-Active Model; 5.2. Numerical Methods; 5.3. Exact Solution via Eigenvector Expansion; 5.4. A Persistent Sodium Current*; 5.5. A Nonspecific Cation Current that is Activated by Hyperpolarization*; 5.6. Summary and Sources; 5.7. Exercises Chapter 6. The Passive Cable 6.1. The Discrete Passive Cable Equation; 6.2. Exact Solution Via Eigenvector Expansion; 6.3. Numerical Methods; 6.4. The Passive Cable Equation; 6.5. Synaptic Input; 6.6. Summary and Sources; 6.7. Exercises; Chapter 7. Fourier Series and Transforms; 7.1. Fourier Series; 7.2. The Discrete Fourier Transform; 7.3. The Continuous Fourier Transform; 7.4. Reconciling the Discrete and Continuous Fourier Transforms; 7.5. Summary and Sources; 7.6. Exercises; Chapter 8. The Passive Dendritic Tree; 8.1. The Discrete Passive Tree; 8.2. Eigenvector Expansion 8.3. Numerical Methods 8.4. The Passive Dendrite Equation; 8.5. The Equivalent Cylinder*; 8.6. Branched Eigenfunctions*; 8.7. Summary and Sources; 8.8. Exercises; Chapter 9. The Active Dendritic Tree; 9.1. The Active Uniform Cable; 9.2. On the Interaction of Active Uniform Cables*; 9.3. The Active Nonuniform Cable; 9.4. The Quasi-Active Cable*; 9.5. The Active Dendritic Tree; 9.6. Summary and Sources; 9.7. Exercises; Chapter 10. Reduced Single Neuron Models; 10.1. The Leaky Integrate-and-Fire Neuron; 10.2. Bursting Neurons; 10.3. Simplified Models of Bursting Neurons; 10.4. Summary and Sources 10.5. Exercises Chapter 11. Probability and Random Variables; 11.1. Events and Random Variables; 11.2. Binomial Random Variables; 11.3. Poisson Random Variables; 11.4. Gaussian Random Variables; 11.5. Cumulative Distribution Functions; 11.6. Conditional Probabilities*; 11.7. Sum of Independent Random Variables*; 11.8. Transformation of Random Variables*; 11.9. Random Vectors*; 11.10. Exponential and Gamma Distributed Random Variables; 11.11. The Homogeneous Poisson Process; 11.12. Summary and Sources; 11.13. Exercises; Chapter 12. Synaptic Transmission and Quantal Release 12.1. Basic Synaptic Structure and Physiology |
| Record Nr. | UNINA-9911099169803321 |
|
Gabbiani
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| Amsterdam ; ; Boston, : Elsevier, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematics for neuroscientists / / Fabrizio Gabbiani, Steven J. Cox
| Mathematics for neuroscientists / / Fabrizio Gabbiani, Steven J. Cox |
| Autore | Gabbiani |
| Edizione | [1st ed..] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier, 2010 |
| Descrizione fisica | 1 online resource (505 p.) |
| Disciplina |
612.8
612.80151 |
| Altri autori (Persone) |
CoxSteven J.
Fabrizio |
| Collana | Elsevier science & technology books |
| Soggetto topico |
Medicine - Mathematics
Neurosciences |
| ISBN |
1-282-76902-2
9786612769023 0-08-089049-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front cover; Mathematics for Neuroscientists; Copyright page; Full Contents; Preface; Chapter 1. Introduction; 1.1. How to Use This Book; 1.2. Brain Facts Brief; 1.3. Mathematical Preliminaries; 1.4. Units; 1.5. Sources; Chapter 2. The Passive Isopotential Cell; 2.1. Introduction; 2.2. The Nernst Potential; 2.3. Membrane Conductance; 2.4. Membrane Capacitance and Current Balance; 2.5. Synaptic Conductance; 2.6. Summary and Sources; 2.7. Exercises; Chapter 3. Differential Equations; 3.1. Exact Solution; 3.2. Moment Methods*; 3.3. The Laplace Transform*; 3.4. Numerical Methods
3.5. Synaptic Input 3.6. Summary and Sources; 3.7. Exercises; Chapter 4. The Active Isopotential Cell; 4.1. The Delayed Rectifier Potassium Channel; 4.2. The Sodium Channel; 4.3. The Hodgkin-Huxley Equations; 4.4. The Transient Potassium Channel*; 4.5. Summary and Sources; 4.6. Exercises; Chapter 5. The Quasi-Active Isopotential Cell; 5.1. The Quasi-Active Model; 5.2. Numerical Methods; 5.3. Exact Solution via Eigenvector Expansion; 5.4. A Persistent Sodium Current*; 5.5. A Nonspecific Cation Current that is Activated by Hyperpolarization*; 5.6. Summary and Sources; 5.7. Exercises Chapter 6. The Passive Cable 6.1. The Discrete Passive Cable Equation; 6.2. Exact Solution Via Eigenvector Expansion; 6.3. Numerical Methods; 6.4. The Passive Cable Equation; 6.5. Synaptic Input; 6.6. Summary and Sources; 6.7. Exercises; Chapter 7. Fourier Series and Transforms; 7.1. Fourier Series; 7.2. The Discrete Fourier Transform; 7.3. The Continuous Fourier Transform; 7.4. Reconciling the Discrete and Continuous Fourier Transforms; 7.5. Summary and Sources; 7.6. Exercises; Chapter 8. The Passive Dendritic Tree; 8.1. The Discrete Passive Tree; 8.2. Eigenvector Expansion 8.3. Numerical Methods 8.4. The Passive Dendrite Equation; 8.5. The Equivalent Cylinder*; 8.6. Branched Eigenfunctions*; 8.7. Summary and Sources; 8.8. Exercises; Chapter 9. The Active Dendritic Tree; 9.1. The Active Uniform Cable; 9.2. On the Interaction of Active Uniform Cables*; 9.3. The Active Nonuniform Cable; 9.4. The Quasi-Active Cable*; 9.5. The Active Dendritic Tree; 9.6. Summary and Sources; 9.7. Exercises; Chapter 10. Reduced Single Neuron Models; 10.1. The Leaky Integrate-and-Fire Neuron; 10.2. Bursting Neurons; 10.3. Simplified Models of Bursting Neurons; 10.4. Summary and Sources 10.5. Exercises Chapter 11. Probability and Random Variables; 11.1. Events and Random Variables; 11.2. Binomial Random Variables; 11.3. Poisson Random Variables; 11.4. Gaussian Random Variables; 11.5. Cumulative Distribution Functions; 11.6. Conditional Probabilities*; 11.7. Sum of Independent Random Variables*; 11.8. Transformation of Random Variables*; 11.9. Random Vectors*; 11.10. Exponential and Gamma Distributed Random Variables; 11.11. The Homogeneous Poisson Process; 11.12. Summary and Sources; 11.13. Exercises; Chapter 12. Synaptic Transmission and Quantal Release 12.1. Basic Synaptic Structure and Physiology |
| Record Nr. | UNINA-9911134655803321 |
| Gabbiani | ||
| Amsterdam ; ; Boston, : Elsevier, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mistici messianici / Moshe Idel ; traduzione di Fabrizio Lelli
| Mistici messianici / Moshe Idel ; traduzione di Fabrizio Lelli |
| Autore | IDEL, Moashe |
| Pubbl/distr/stampa | Milano : Adelphi, 2004 |
| Descrizione fisica | 595 p. ; 24 cm |
| Disciplina | 296.336 |
| Altri autori (Persone) | LELI |
| Collana | Il ramo d'oro |
| Soggetto topico | Messianesimo |
| ISBN | 88-459-1862-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNISA-990002425280203316 |
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IDEL, Moashe
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| Milano : Adelphi, 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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