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1. |
Record Nr. |
UNINA990000993750403321 |
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Autore |
Flugge, Wilhelm |
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Titolo |
Four-place tables of transcendental functions / by W. Flugge |
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Pubbl/distr/stampa |
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London : Pergamon press, 1954 |
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Descrizione fisica |
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Disciplina |
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Locazione |
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Collocazione |
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17-016 |
17-016.001 |
13 C 45 15 |
15 L/2-14 |
3-A-2 |
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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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2. |
Record Nr. |
UNINA9910254269903321 |
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Titolo |
Clinical Decision Support Systems : Theory and Practice / / edited by Eta S. Berner |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[3rd ed. 2016.] |
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Descrizione fisica |
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1 online resource (XI, 313 p. 42 illus., 6 illus. in color.) |
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Collana |
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Health Informatics, , 1431-1917 |
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Disciplina |
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Soggetti |
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Medical informatics |
Health Informatics |
Diagnosis - Decision making - Data processing |
Clinical medicine - Decision making - Data processing |
Expert systems (Computer science) |
Decision Support Systems, Clinical |
Diagnosis, Computer-Assisted |
Expert Systems |
MEDICAL - Laboratory Medicine |
MEDICAL - Diagnosis |
MEDICAL - Nursing - Assessment & Diagnosis |
MEDICAL - Clinical Medicine |
MEDICAL - Diseases |
HEALTH & FITNESS - Diseases - General |
MEDICAL - Evidence-Based Medicine |
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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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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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Chapter 1 Overview of Clinical Decision Support Systems -- Chapter 2 Mathematical Foundations of Decision Support Systems -- Chapter 3 Data Mining and Clinical Decision Support Systems -- Chapter 4 Usability and Clinical Decision Support -- Chapter 5 Newer Architectures for Clinical Decision Support -- Chapter 6 Best Practices for Implementation of Clinical Decision Support -- Chapter 7 Impact of |
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National Policies on the Use of Clinical Decision Support -- Chapter 8 Ethical and Legal Issues in Decision Support -- Chapter 9 Evaluation of Clinical Decision Support -- Chapter 11 Diagnostic Decision Support Systems -- Chapter 10 Decision Support for Patients -- Chapter 12 Use of Clinical Decision Support to Tailor Drug Therapy based on Genomics -- Chapter 13 Clinical Decision Support -- Chapter 14 Clinical Decision Support at Intermountain Healthcare -- Chapter 15 Decision Support During Inpatient Care Provider Order Entry. |
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Sommario/riassunto |
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This book provides a comprehensive and timely introduction to clinical decision support systems, coming at a time when electronic health records are being routinely used in clinical practice, and clinical decision support systems are seeing more use. Building on the success of the previous editions, Clinical Decision Support Systems: Theory and Practice, Third Edition, once again brings together worldwide experts to illustrate the underlying science and day-to-day use of decision support systems in clinical and educational settings. This fully revised and updated edition is essential reading for informatics specialists, teachers and students in health or medical informatics training programs, and clinicians, with or without expertise in the applications of computers in medicine, who are interested in learning about current developments in computer-based clinical decision support systems. |
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3. |
Record Nr. |
UNINA9911018824503321 |
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Titolo |
Plant proteomics / / edited by Christine Finnie |
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Pubbl/distr/stampa |
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Oxford, UK ; ; Ames, Iowa, : Blackwell Pub., 2006 |
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ISBN |
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9786610748822 |
9781280748820 |
1280748826 |
9780470764275 |
0470764279 |
9780470988879 |
0470988878 |
9781405173070 |
1405173076 |
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Descrizione fisica |
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1 online resource (276 p.) |
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Collana |
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Annual plant reviews ; ; v. 28 |
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Classificazione |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Plant proteins |
Plant proteomics |
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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 and index. |
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Nota di contenuto |
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Plant Proteomics; Contents; Preface; Contributors; 1 Plant proteomics: challenges and resources; 1.1 Introduction; 1.2 Challenges; 1.2.1 Sample extraction; 1.2.1.1 Two-dimensional gel electrophoresis; 1.2.1.2 Direct MS analysis of samples; 1.2.2 Sample preparation and arraying; 1.2.2.1 Two-dimensional gel electrophoresis; 1.2.2.2 One-dimensional gel electrophoresis; 1.2.2.3 Blue-native gel electrophoresis; 1.2.2.4 Direct analysis of samples by MS; 1.2.3 Mass spectrometry (MALDI and ESI); 1.2.3.1 MALDI; 1.2.3.2 ESI; 1.2.4 Analysis depth; 1.2.5 Data analysis; 1.2.5.1 Peptide mass fingerprints |
1.2.5.2 Peptide fragmentation data (MS/MS)1.2.5.3 Analysis options; 1.2.6 Quantitation; 1.2.6.1 Gel stains; 1.2.6.2 Chemical labelling of sample; 1.2.7 Modifications; 1.2.8 Data; 1.3 Resources; 1.3.1 Proteomic databases; 1.3.2 Online proteomic tools and resources; 1.4 Future; 2 Proteomic analysis of post-translational modifications by mass |
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spectrometry; 2.1 Summary; 2.2 Introduction; 2.3 Considerations for the experimental design of PTM analysis by proteomics; 2.4 Analysis of PTMs by proteomic approaches; 2.4.1 Phosphorylation; 2.4.2 Protein glycosylation; 2.4.3 GPI-AP; 2.4.4 Farnesylation |
2.4.5 N-terminally modified proteins2.5 Conclusions and perspectives; 3 Strategies for the investigation of protein-protein interactions in plants; 3.1 Summary; 3.2 Introduction; 3.3 Biochemical procedures to characterize protein-protein interactions; 3.3.1 Chromatographic purifications; 3.3.2 Sucrose gradient ultrafiltration; 3.3.3 Native gel electrophoresis; 3.3.4 Immunoprecipitations; 3.4 Genetic procedures to characterize protein-protein interactions; 3.4.1 Yeast two-hybrid system; 3.4.2 Yeast three-hybrid system; 3.4.3 Yeast one-hybrid system |
3.4.4 Limitations of yeast two-hybrid systems3.4.5 Split-ubiquitin system; 3.4.6 Bimolecular fluorescence complementation (BiFC); 3.4.7 FoĢrster resonance energy transfer (FRET); 3.4.8 Tagging technologies for the purification of protein complexes; 3.5 Cytological procedures to characterize protein-protein interactions; 3.6 Outlook; 4 Proteomics of disulphide and cysteine oxidoreduction; 4.1 Introduction; 4.2 Control of cellular redox status; 4.2.1 Sequence and structural features of proteins catalysing cysteine redox modifications; 4.2.2 Catalytic mechanisms of Trxs and Grxs |
4.3 Proteomics techniques for analysis of cysteine modifications4.3.1 Reagents for cysteine labelling; 4.3.2 Disulphide mapping; 4.3.3 S-glutathionylation; 4.3.4 Cysteine SOH, SO2H and SO3H; 4.3.5 Trxs and disulphide reduction; 4.3.6 S-nitrosylation; 4.4 Conclusions and perspectives; 5 Structural proteomics; 5.1 Introduction; 5.2 Project data handling: Sesame; 5.3 ORF cloning; 5.4 E. coli cell-based protein production pipeline; 5.4.1 Large-scale protein production and labeling; 5.4.2 Protein purification; 5.5 Wheat germ cell-free protein production |
5.6 Mass spectrometry of purified proteins for quality assurance and analysis |
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Sommario/riassunto |
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The proteome comprises all protein species resulting from gene expression in a cell, organelle, tissue or organism. By definition, proteomics aims to identify and characterise the expression pattern, cellular location, activity, regulation, post-translational modifications, molecular interactions, three dimensional structures and functions of each protein in a biological system.In plant science, the number of proteome studies is rapidly expanding after the completion of the Arabidopsis thaliana genome sequence, and proteome analyses of other important or emerging model systems and crop |
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