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Automatic process control for chemical engineers / Norman H. Ceaglske
| Automatic process control for chemical engineers / Norman H. Ceaglske |
| Autore | Ceaglske, Norman H. |
| Pubbl/distr/stampa | New York : J. Wiley & Sons, s.d. |
| Descrizione fisica | XIV,228 p., ill., 23 cm |
| Disciplina | 660 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNINA-990000301920403321 |
| Ceaglske, Norman H. | ||
| New York : J. Wiley & Sons, s.d. | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Automatic speech and speaker recognition : large margin and kernel methods / / [edited by] Joseph Keshet, Samy Bengio
| Automatic speech and speaker recognition : large margin and kernel methods / / [edited by] Joseph Keshet, Samy Bengio |
| Pubbl/distr/stampa | Chichester, U.K. ; , : J. Wiley & Sons, , 2009 |
| Descrizione fisica | 1 online resource (271 p.) |
| Disciplina |
006.4
006.4/54 006.454 |
| Altri autori (Persone) |
KeshetJoseph
BengioSamy |
| Soggetto topico | Automatic speech recognition |
| ISBN |
1-282-34941-4
9786612349416 0-470-74204-6 0-470-74203-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
List of Contributors -- Preface -- I Foundations -- 1 Introduction (Samy Bengio and Joseph Keshet) -- 1.1 The Traditional Approach to Speech Processing -- 1.2 Potential Problems of the Probabilistic Approach -- 1.3 Support Vector Machines for Binary Classification -- 1.4 Outline -- References -- 2 Theory and Practice of Support Vector Machines Optimization (Shai Shalev-Shwartz and Nathan Srebo) -- 2.1 Introduction -- 2.2 SVM and L2-regularized Linear Prediction -- 2.3 Optimization Accuracy From a Machine Learning Perspective -- 2.4 Stochastic Gradient Descent -- 2.5 Dual Decomposition Methods -- 2.6 Summary -- References -- 3 From Binary Classification to Categorial Prediction (Koby Crammer) -- 3.1 Multi-category Problems -- 3.2 Hypothesis Class -- 3.3 Loss Functions -- 3.4 Hinge Loss Functions -- 3.5 A Generalized Perceptron Algorithm -- 3.6 A Generalized Passive / Aggressive Algorithm -- 3.7 A Batch Formulation -- 3.8 Concluding Remarks -- 3.9 Appendix. Derivations of the Duals of the Passive / Aggressive Algorithm and the Batch Formulation -- References -- II Acoustic Modeling -- 4 A Large Margin Algorithm for Forced Alignment (Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer and Dan Chazan) -- 4.1 Introduction -- 4.2 Problem Setting -- 4.3 Cost and Risk -- 4.4 A Large Margin Approach for Forced Alignment -- 4.5 An Iterative Algorithm -- 4.6 Efficient Evaluation of the Alignment Function -- 4.7 Base Alignment Functions -- 4.8 Experimental Results -- 4.9 Discussion -- References -- 5 A Kernel Wrapper for Phoneme Sequence Recognition (Joseph Keshet and Dan Chazan) -- 5.1 Introduction -- 5.2 Problem Setting -- 5.3 Frame-based Phoneme Classifier -- 5.4 Kernel-based Iterative Algorithm for Phoneme Recognition -- 5.5 Nonlinear Feature Functions -- 5.6 Preliminary Experimental Results -- 5.7 Discussion: Canwe Hope for Better Results? -- References -- 6 Augmented Statistical Models: Using Dynamic Kernels for Acoustic Models (Mark J. F. Gales) -- 6.1 Introduction -- 6.2 Temporal Correlation Modeling.
6.3 Dynamic Kernels -- 6.4 Augmented Statistical Models -- 6.5 Experimental Results -- 6.6 Conclusions -- Acknowledgements -- References -- 7 Large Margin Training of Continuous Density Hidden Markov Models (Fei Sha and Lawrence K. Saul) -- 7.1 Introduction -- 7.2 Background -- 7.3 Large Margin Training -- 7.4 Experimental Results -- 7.5 Conclusion -- References -- III Language Modeling -- 8 A Survey of Discriminative Language Modeling Approaches for Large Vocabulary Continuous Speech Recognition (Brian Roark) -- 8.1 Introduction -- 8.2 General Framework -- 8.3 Further Developments -- 8.4 Summary and Discussion -- References -- 9 Large Margin Methods for Part-of-Speech Tagging (Yasemin Altun) -- 9.1 Introduction -- 9.2 Modeling Sequence Labeling -- 9.3 Sequence Boosting -- 9.4 Hidden Markov Support Vector Machines -- 9.5 Experiments -- 9.6 Discussion -- References -- 10 A Proposal for a Kernel Based Algorithm for Large Vocabulary Continuous Speech Recognition (Joseph Keshet) -- 10.1 Introduction -- 10.2 Segment Models and Hidden Markov Models -- 10.3 Kernel Based Model -- 10.4 Large Margin Training -- 10.5 Implementation Details -- 10.6 Discussion -- Acknowledgements -- References -- IV Applications -- 11 Discriminative Keyword Spotting (David Grangier, Joseph Keshet and Samy Bengio) -- 11.1 Introduction -- 11.2 Previous Work -- 11.3 Discriminative Keyword Spotting -- 11.4 Experiments and Results -- 11.5 Conclusions -- Acknowledgements -- References -- 12 Kernel-based Text-independent Speaker Verification (Johnny Mariéthoz, Samy Bengio and Yves Grandvalet) -- 12.1 Introduction -- 12.2 Generative Approaches -- 12.3 Discriminative Approaches -- 12.4 Benchmarking Methodology -- 12.5 Kernels for Speaker Verification -- 12.6 Parameter Sharing -- 12.7 Is the Margin Useful for This Problem? -- 12.8 Comparing all Methods -- 12.9 Conclusion -- References -- 13 Spectral Clustering for Speech Separation (Francis R. Bach and Michael I. Jordan) -- 13.1 Introduction -- 13.2 Spectral Clustering and Normalized Cuts. 13.3 Cost Functions for Learning the Similarity Matrix -- 13.4 Algorithms for Learning the Similarity Matrix -- 13.5 Speech Separation as Spectrogram Segmentation -- 13.6 Spectral Clustering for Speech Separation -- 13.7 Conclusions -- References -- Index. |
| Record Nr. | UNINA-9910146404403321 |
| Chichester, U.K. ; , : J. Wiley & Sons, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Automatic speech and speaker recognition : large margin and kernel methods / / [edited by] Joseph Keshet, Samy Bengio
| Automatic speech and speaker recognition : large margin and kernel methods / / [edited by] Joseph Keshet, Samy Bengio |
| Pubbl/distr/stampa | Chichester, U.K. ; , : J. Wiley & Sons, , 2009 |
| Descrizione fisica | 1 online resource (271 p.) |
| Disciplina |
006.4
006.4/54 006.454 |
| Altri autori (Persone) |
KeshetJoseph
BengioSamy |
| Soggetto topico | Automatic speech recognition |
| ISBN |
1-282-34941-4
9786612349416 0-470-74204-6 0-470-74203-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
List of Contributors -- Preface -- I Foundations -- 1 Introduction (Samy Bengio and Joseph Keshet) -- 1.1 The Traditional Approach to Speech Processing -- 1.2 Potential Problems of the Probabilistic Approach -- 1.3 Support Vector Machines for Binary Classification -- 1.4 Outline -- References -- 2 Theory and Practice of Support Vector Machines Optimization (Shai Shalev-Shwartz and Nathan Srebo) -- 2.1 Introduction -- 2.2 SVM and L2-regularized Linear Prediction -- 2.3 Optimization Accuracy From a Machine Learning Perspective -- 2.4 Stochastic Gradient Descent -- 2.5 Dual Decomposition Methods -- 2.6 Summary -- References -- 3 From Binary Classification to Categorial Prediction (Koby Crammer) -- 3.1 Multi-category Problems -- 3.2 Hypothesis Class -- 3.3 Loss Functions -- 3.4 Hinge Loss Functions -- 3.5 A Generalized Perceptron Algorithm -- 3.6 A Generalized Passive / Aggressive Algorithm -- 3.7 A Batch Formulation -- 3.8 Concluding Remarks -- 3.9 Appendix. Derivations of the Duals of the Passive / Aggressive Algorithm and the Batch Formulation -- References -- II Acoustic Modeling -- 4 A Large Margin Algorithm for Forced Alignment (Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer and Dan Chazan) -- 4.1 Introduction -- 4.2 Problem Setting -- 4.3 Cost and Risk -- 4.4 A Large Margin Approach for Forced Alignment -- 4.5 An Iterative Algorithm -- 4.6 Efficient Evaluation of the Alignment Function -- 4.7 Base Alignment Functions -- 4.8 Experimental Results -- 4.9 Discussion -- References -- 5 A Kernel Wrapper for Phoneme Sequence Recognition (Joseph Keshet and Dan Chazan) -- 5.1 Introduction -- 5.2 Problem Setting -- 5.3 Frame-based Phoneme Classifier -- 5.4 Kernel-based Iterative Algorithm for Phoneme Recognition -- 5.5 Nonlinear Feature Functions -- 5.6 Preliminary Experimental Results -- 5.7 Discussion: Canwe Hope for Better Results? -- References -- 6 Augmented Statistical Models: Using Dynamic Kernels for Acoustic Models (Mark J. F. Gales) -- 6.1 Introduction -- 6.2 Temporal Correlation Modeling.
6.3 Dynamic Kernels -- 6.4 Augmented Statistical Models -- 6.5 Experimental Results -- 6.6 Conclusions -- Acknowledgements -- References -- 7 Large Margin Training of Continuous Density Hidden Markov Models (Fei Sha and Lawrence K. Saul) -- 7.1 Introduction -- 7.2 Background -- 7.3 Large Margin Training -- 7.4 Experimental Results -- 7.5 Conclusion -- References -- III Language Modeling -- 8 A Survey of Discriminative Language Modeling Approaches for Large Vocabulary Continuous Speech Recognition (Brian Roark) -- 8.1 Introduction -- 8.2 General Framework -- 8.3 Further Developments -- 8.4 Summary and Discussion -- References -- 9 Large Margin Methods for Part-of-Speech Tagging (Yasemin Altun) -- 9.1 Introduction -- 9.2 Modeling Sequence Labeling -- 9.3 Sequence Boosting -- 9.4 Hidden Markov Support Vector Machines -- 9.5 Experiments -- 9.6 Discussion -- References -- 10 A Proposal for a Kernel Based Algorithm for Large Vocabulary Continuous Speech Recognition (Joseph Keshet) -- 10.1 Introduction -- 10.2 Segment Models and Hidden Markov Models -- 10.3 Kernel Based Model -- 10.4 Large Margin Training -- 10.5 Implementation Details -- 10.6 Discussion -- Acknowledgements -- References -- IV Applications -- 11 Discriminative Keyword Spotting (David Grangier, Joseph Keshet and Samy Bengio) -- 11.1 Introduction -- 11.2 Previous Work -- 11.3 Discriminative Keyword Spotting -- 11.4 Experiments and Results -- 11.5 Conclusions -- Acknowledgements -- References -- 12 Kernel-based Text-independent Speaker Verification (Johnny Mariéthoz, Samy Bengio and Yves Grandvalet) -- 12.1 Introduction -- 12.2 Generative Approaches -- 12.3 Discriminative Approaches -- 12.4 Benchmarking Methodology -- 12.5 Kernels for Speaker Verification -- 12.6 Parameter Sharing -- 12.7 Is the Margin Useful for This Problem? -- 12.8 Comparing all Methods -- 12.9 Conclusion -- References -- 13 Spectral Clustering for Speech Separation (Francis R. Bach and Michael I. Jordan) -- 13.1 Introduction -- 13.2 Spectral Clustering and Normalized Cuts. 13.3 Cost Functions for Learning the Similarity Matrix -- 13.4 Algorithms for Learning the Similarity Matrix -- 13.5 Speech Separation as Spectrogram Segmentation -- 13.6 Spectral Clustering for Speech Separation -- 13.7 Conclusions -- References -- Index. |
| Record Nr. | UNINA-9910829918203321 |
| Chichester, U.K. ; , : J. Wiley & Sons, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Automatic speech and speaker recognition : large margin and kernel methods / / [edited by] Joseph Keshet, Samy Bengio
| Automatic speech and speaker recognition : large margin and kernel methods / / [edited by] Joseph Keshet, Samy Bengio |
| Pubbl/distr/stampa | Chichester, U.K. ; ; Hoboken, NJ, : J. Wiley & Sons, 2009 |
| Descrizione fisica | 1 online resource (271 p.) |
| Disciplina | 006.4/54 |
| Altri autori (Persone) |
KeshetJoseph
BengioSamy |
| Soggetto topico | Automatic speech recognition |
| ISBN |
1-282-34941-4
9786612349416 0-470-74204-6 0-470-74203-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
List of Contributors -- Preface -- I Foundations -- 1 Introduction (Samy Bengio and Joseph Keshet) -- 1.1 The Traditional Approach to Speech Processing -- 1.2 Potential Problems of the Probabilistic Approach -- 1.3 Support Vector Machines for Binary Classification -- 1.4 Outline -- References -- 2 Theory and Practice of Support Vector Machines Optimization (Shai Shalev-Shwartz and Nathan Srebo) -- 2.1 Introduction -- 2.2 SVM and L2-regularized Linear Prediction -- 2.3 Optimization Accuracy From a Machine Learning Perspective -- 2.4 Stochastic Gradient Descent -- 2.5 Dual Decomposition Methods -- 2.6 Summary -- References -- 3 From Binary Classification to Categorial Prediction (Koby Crammer) -- 3.1 Multi-category Problems -- 3.2 Hypothesis Class -- 3.3 Loss Functions -- 3.4 Hinge Loss Functions -- 3.5 A Generalized Perceptron Algorithm -- 3.6 A Generalized Passive / Aggressive Algorithm -- 3.7 A Batch Formulation -- 3.8 Concluding Remarks -- 3.9 Appendix. Derivations of the Duals of the Passive / Aggressive Algorithm and the Batch Formulation -- References -- II Acoustic Modeling -- 4 A Large Margin Algorithm for Forced Alignment (Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer and Dan Chazan) -- 4.1 Introduction -- 4.2 Problem Setting -- 4.3 Cost and Risk -- 4.4 A Large Margin Approach for Forced Alignment -- 4.5 An Iterative Algorithm -- 4.6 Efficient Evaluation of the Alignment Function -- 4.7 Base Alignment Functions -- 4.8 Experimental Results -- 4.9 Discussion -- References -- 5 A Kernel Wrapper for Phoneme Sequence Recognition (Joseph Keshet and Dan Chazan) -- 5.1 Introduction -- 5.2 Problem Setting -- 5.3 Frame-based Phoneme Classifier -- 5.4 Kernel-based Iterative Algorithm for Phoneme Recognition -- 5.5 Nonlinear Feature Functions -- 5.6 Preliminary Experimental Results -- 5.7 Discussion: Canwe Hope for Better Results? -- References -- 6 Augmented Statistical Models: Using Dynamic Kernels for Acoustic Models (Mark J. F. Gales) -- 6.1 Introduction -- 6.2 Temporal Correlation Modeling.
6.3 Dynamic Kernels -- 6.4 Augmented Statistical Models -- 6.5 Experimental Results -- 6.6 Conclusions -- Acknowledgements -- References -- 7 Large Margin Training of Continuous Density Hidden Markov Models (Fei Sha and Lawrence K. Saul) -- 7.1 Introduction -- 7.2 Background -- 7.3 Large Margin Training -- 7.4 Experimental Results -- 7.5 Conclusion -- References -- III Language Modeling -- 8 A Survey of Discriminative Language Modeling Approaches for Large Vocabulary Continuous Speech Recognition (Brian Roark) -- 8.1 Introduction -- 8.2 General Framework -- 8.3 Further Developments -- 8.4 Summary and Discussion -- References -- 9 Large Margin Methods for Part-of-Speech Tagging (Yasemin Altun) -- 9.1 Introduction -- 9.2 Modeling Sequence Labeling -- 9.3 Sequence Boosting -- 9.4 Hidden Markov Support Vector Machines -- 9.5 Experiments -- 9.6 Discussion -- References -- 10 A Proposal for a Kernel Based Algorithm for Large Vocabulary Continuous Speech Recognition (Joseph Keshet) -- 10.1 Introduction -- 10.2 Segment Models and Hidden Markov Models -- 10.3 Kernel Based Model -- 10.4 Large Margin Training -- 10.5 Implementation Details -- 10.6 Discussion -- Acknowledgements -- References -- IV Applications -- 11 Discriminative Keyword Spotting (David Grangier, Joseph Keshet and Samy Bengio) -- 11.1 Introduction -- 11.2 Previous Work -- 11.3 Discriminative Keyword Spotting -- 11.4 Experiments and Results -- 11.5 Conclusions -- Acknowledgements -- References -- 12 Kernel-based Text-independent Speaker Verification (Johnny Mariéthoz, Samy Bengio and Yves Grandvalet) -- 12.1 Introduction -- 12.2 Generative Approaches -- 12.3 Discriminative Approaches -- 12.4 Benchmarking Methodology -- 12.5 Kernels for Speaker Verification -- 12.6 Parameter Sharing -- 12.7 Is the Margin Useful for This Problem? -- 12.8 Comparing all Methods -- 12.9 Conclusion -- References -- 13 Spectral Clustering for Speech Separation (Francis R. Bach and Michael I. Jordan) -- 13.1 Introduction -- 13.2 Spectral Clustering and Normalized Cuts. 13.3 Cost Functions for Learning the Similarity Matrix -- 13.4 Algorithms for Learning the Similarity Matrix -- 13.5 Speech Separation as Spectrogram Segmentation -- 13.6 Spectral Clustering for Speech Separation -- 13.7 Conclusions -- References -- Index. |
| Record Nr. | UNINA-9910876783703321 |
| Chichester, U.K. ; ; Hoboken, NJ, : J. Wiley & Sons, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Automation for productivity / Hugh Luke
| Automation for productivity / Hugh Luke |
| Autore | LUKE, Hugh |
| Pubbl/distr/stampa | New York [etc.] : J. Wiley & Sons, 1972 |
| Descrizione fisica | VII, 290 p. ; 22 cm |
| Disciplina | 658.4038011 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-990002242490203316 |
LUKE, Hugh
|
||
| New York [etc.] : J. Wiley & Sons, 1972 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
The averaged moduli of smoothness : applications in numerical methods and approximation / Blagovest Sendov, Vasil A. Popov ; transl. G. M. Phillips
| The averaged moduli of smoothness : applications in numerical methods and approximation / Blagovest Sendov, Vasil A. Popov ; transl. G. M. Phillips |
| Autore | Sendov, Blagovest |
| Pubbl/distr/stampa | Chichester : J. Wiley & Sons, 1988 |
| Descrizione fisica | 250 p. ; 24 cm |
| Disciplina | 519.4 |
| Altri autori (Persone) |
Popov, Vasil A.author
Phillips, G. M. |
| Collana | Pure and applied mathematics. A Wiley-Interscience series of texts, monographs, and tracts, [Wiley] 0079-8185 |
| Soggetto topico |
Numerical approximation
Numerical methods Smoothness of functions |
| ISBN | 0471919527 |
| Classificazione |
AMS 65D
LC QA360.S4613 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000709629707536 |
|
Sendov, Blagovest
|
||
| Chichester : J. Wiley & Sons, 1988 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
| ||
Background math for a computer world / Ruth Ashley in consultation with Nancy B. Stern
| Background math for a computer world / Ruth Ashley in consultation with Nancy B. Stern |
| Autore | Ashley, Ruth |
| Edizione | [2nd ed] |
| Pubbl/distr/stampa | New York : J. Wiley & Sons, c1980 |
| Descrizione fisica | xi, 308 p. : ill. ; 25 cm. |
| Disciplina | 510.77 |
| Altri autori (Persone) | Stern, Nancy B. |
| Collana | Self-teaching guides |
| Soggetto topico |
Mathematics-data processing
Mathematics-programmed instruction |
| ISBN | 0471080861 |
| Classificazione |
AMS 68-01
AMS 68-XX QA39.2.A75 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000710869707536 |
|
Ashley, Ruth
|
||
| New York : J. Wiley & Sons, c1980 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
| ||
Bacterial responses to pH [[electronic resource] /] / [editors, Derek J. Chadwick and Gail Cardew]
| Bacterial responses to pH [[electronic resource] /] / [editors, Derek J. Chadwick and Gail Cardew] |
| Pubbl/distr/stampa | Chichester ; ; New York, : J. Wiley & Sons, 1999 |
| Descrizione fisica | 1 online resource (278 p.) |
| Disciplina | 579.3 |
| Altri autori (Persone) |
ChadwickDerek
CardewGail |
| Collana | Novartis Foundation symposium |
| Soggetto topico |
Bacteria
Hydrogen-ion concentration Extreme environments - Microbiology |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-34813-2
9786612348136 0-470-51563-5 0-470-51564-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
BACTERIAL RESPONSES TO pH; Contents; Participants; Introduction; Problems of adverse pH and bacterial strategies to combat it; The regulation of intracellular pH in bacteria; pH sensing in bacterial chernotaxis; Inducible acid tolerance mechanisms in enteric bacteria; Acid and base regulation in the proteome of Escherichia coli; Acid tolerance induced by metabolites and secreted proteins, and how tolerance can be counteracted; Acid tolerance in root nodule bacteria; How can acidity? archaea cope with extreme; pH homeostasis in acidophiles
The molecular mechanism of regulation of the NhaA NaC/H+ antiporter of Escherichiu coli, a key transporter in the adaptation to Na+ and H+Bacterial energetics at high pH: what happens to the H+ cycle when the extracellular H+ concentration decreases?; Proton ATPases in bacteria: comparison to Escherichia coli FIFO as the prototype; Cation movements at alkaline pH in bacteria growing without respiration; Final general discussion; Summary; Index of contributors; Subject index |
| Record Nr. | UNINA-9910144558203321 |
| Chichester ; ; New York, : J. Wiley & Sons, 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bacterial responses to pH [[electronic resource] /] / [editors, Derek J. Chadwick and Gail Cardew]
| Bacterial responses to pH [[electronic resource] /] / [editors, Derek J. Chadwick and Gail Cardew] |
| Pubbl/distr/stampa | Chichester ; ; New York, : J. Wiley & Sons, 1999 |
| Descrizione fisica | 1 online resource (278 p.) |
| Disciplina | 579.3 |
| Altri autori (Persone) |
ChadwickDerek
CardewGail |
| Collana | Novartis Foundation symposium |
| Soggetto topico |
Bacteria
Hydrogen-ion concentration Extreme environments - Microbiology |
| ISBN |
1-282-34813-2
9786612348136 0-470-51563-5 0-470-51564-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
BACTERIAL RESPONSES TO pH; Contents; Participants; Introduction; Problems of adverse pH and bacterial strategies to combat it; The regulation of intracellular pH in bacteria; pH sensing in bacterial chernotaxis; Inducible acid tolerance mechanisms in enteric bacteria; Acid and base regulation in the proteome of Escherichia coli; Acid tolerance induced by metabolites and secreted proteins, and how tolerance can be counteracted; Acid tolerance in root nodule bacteria; How can acidity? archaea cope with extreme; pH homeostasis in acidophiles
The molecular mechanism of regulation of the NhaA NaC/H+ antiporter of Escherichiu coli, a key transporter in the adaptation to Na+ and H+Bacterial energetics at high pH: what happens to the H+ cycle when the extracellular H+ concentration decreases?; Proton ATPases in bacteria: comparison to Escherichia coli FIFO as the prototype; Cation movements at alkaline pH in bacteria growing without respiration; Final general discussion; Summary; Index of contributors; Subject index |
| Record Nr. | UNINA-9910830153803321 |
| Chichester ; ; New York, : J. Wiley & Sons, 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bacterial responses to pH / / [editors, Derek J. Chadwick and Gail Cardew]
| Bacterial responses to pH / / [editors, Derek J. Chadwick and Gail Cardew] |
| Pubbl/distr/stampa | Chichester ; ; New York, : J. Wiley & Sons, 1999 |
| Descrizione fisica | 1 online resource (278 p.) |
| Disciplina | 579.3 |
| Altri autori (Persone) |
ChadwickDerek
CardewGail |
| Collana | Novartis Foundation symposium |
| Soggetto topico |
Bacteria
Hydrogen-ion concentration Extreme environments - Microbiology |
| ISBN |
1-282-34813-2
9786612348136 0-470-51563-5 0-470-51564-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
BACTERIAL RESPONSES TO pH; Contents; Participants; Introduction; Problems of adverse pH and bacterial strategies to combat it; The regulation of intracellular pH in bacteria; pH sensing in bacterial chernotaxis; Inducible acid tolerance mechanisms in enteric bacteria; Acid and base regulation in the proteome of Escherichia coli; Acid tolerance induced by metabolites and secreted proteins, and how tolerance can be counteracted; Acid tolerance in root nodule bacteria; How can acidity? archaea cope with extreme; pH homeostasis in acidophiles
The molecular mechanism of regulation of the NhaA NaC/H+ antiporter of Escherichiu coli, a key transporter in the adaptation to Na+ and H+Bacterial energetics at high pH: what happens to the H+ cycle when the extracellular H+ concentration decreases?; Proton ATPases in bacteria: comparison to Escherichia coli FIFO as the prototype; Cation movements at alkaline pH in bacteria growing without respiration; Final general discussion; Summary; Index of contributors; Subject index |
| Record Nr. | UNINA-9910876850003321 |
| Chichester ; ; New York, : J. Wiley & Sons, 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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