Network Topologies :: Types, Performance Impact, and Advantages/Disadvantages /
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hauppauge, New York :
Nova Science Publishers, Inc.,
2013.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource (162 pages) |
| ISBN: | 9781626181823 1626181829 |
Internformat
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-4-EBA-ocn844924432 | ||
| 003 | OCoLC | ||
| 005 | 20241004212047.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 130529s2013 nyu o 001 0 eng d | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d YDXCP |d OCLCF |d OCLCO |d MEU |d OCLCQ |d EBLCP |d DEBSZ |d OCLCO |d AGLDB |d OCLCQ |d VTS |d OCLCA |d AU@ |d STF |d M8D |d OCLCQ |d K6U |d OCLCQ |d OCLCO |d OCLCQ |d OCLCO |d OCLCL | ||
| 020 | |a 9781626181823 |q (electronic bk.) | ||
| 020 | |a 1626181829 |q (electronic bk.) | ||
| 020 | |z 9781626181809 | ||
| 020 | |z 1626181802 | ||
| 035 | |a (OCoLC)844924432 | ||
| 050 | 4 | |a QA402 |b .N485 2013eb | |
| 072 | 7 | |a SCI |x 064000 |2 bisacsh | |
| 082 | 7 | |a 003/.72 |2 23 | |
| 049 | |a MAIN | ||
| 245 | 0 | 0 | |a Network Topologies : |b Types, Performance Impact, and Advantages/Disadvantages / |c editor, Casandra Rendell. |
| 264 | 1 | |a Hauppauge, New York : |b Nova Science Publishers, Inc., |c 2013. | |
| 300 | |a 1 online resource (162 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 546 | |a Text in English. | ||
| 500 | |a Includes index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a NETWORK TOPOLOGIES: TYPES, PERFORMANCE IMPACT AND ADVANTAGES/DISADVANTAGES; Library of Congress Cataloging-in-Publication Data; Contents; Preface; Chapter 1: Analyzing the Topological Structure of Networks and Related Problems via Simple Rules; Abstract; I. Introduction; II. Some Basic Concepts; Definitions and Notations; Average Degree; Average Shortest Path Length; Average Clustering Coefficient; Degree Distribution; Average Nearest Neighbors Degree; III. The Modeling of Protein-Protein Interaction Networks; Network Model and Result; IV. The Positioning of the Wireless Sensor Network. | |
| 505 | 8 | |a SSLA and ExamplesConclusion; Acknowledgments; References; Chapter 2: The Application of Artificial Neural Networks in the Diagnosis of Coronary Heart Disease; Abstract; Introduction; Network Algorithm; Input and Reference Signs; Selection of Input Signs; Selection of Reference Signs; Examples of the Application of ANNs in the Diagnosis of Coronary Artery Disease; Materials and Methods; Data Collection and Processing; ANN Algorithms; Testing; Results; Conclusion; References; Chapter 3: Signal Transduction Pathways: When Network Topology Can Explain Cell Function; Abstract; Introduction. | |
| 505 | 8 | |a Random NetworksSmall Word Networks; Scale-Free Networks; Hierarchical Networks; Signal Transduction; Smooth and Striated Muscle Contraction; The Neurotransmitter Release Cycle of Neurotransmitters (Norepinephrine, Acetylcoline, ( -Aminobutyric Acid (GABA), Serotonin, Glutamate and Dopamine); The Visual Phototransduction (Rods); The Sperm Capacitation; The Insulin Signaling Pathway; The Glucose Metabolism; The p53 Pathway; The Regulation of Retinoblastoma Protein (pRb); The Mitochondrial ATP Metabolism; The Signaling Events Mediated by Stem Cell Factor Receptor c-Kit (CD117); Circadian Clock. | |
| 505 | 8 | |a Exploring Signal Transduction TopologyConclusion; References; Chapter 4: Model-Based Risk Analysisof Complex Networks; Abstract; Introduction; Fault Tree Analysis; Network Risk; Model-Based Risk Analysis (MBRA); Network Resource Allocation; Simulation; Cascade Risk; Flow Risk; Exceedence Probability; References; Chapter 5: Biomedical and Clinical Networks of Cancer; Abstract; Clinical Therapies of Cancer; Networks of Cancer; References; Index. | |
| 650 | 0 | |a System analysis. | |
| 650 | 0 | |a Topology. |0 http://id.loc.gov/authorities/subjects/sh85136089 | |
| 650 | 0 | |a Biological systems |x Mathematical models. | |
| 650 | 0 | |a Social systems |x Mathematical models. | |
| 650 | 2 | |a Systems Analysis |0 https://id.nlm.nih.gov/mesh/D013597 | |
| 650 | 6 | |a Analyse de systèmes. | |
| 650 | 6 | |a Topologie. | |
| 650 | 6 | |a Systèmes biologiques |x Modèles mathématiques. | |
| 650 | 6 | |a Systèmes sociaux |x Modèles mathématiques. | |
| 650 | 7 | |a systems analysis. |2 aat | |
| 650 | 7 | |a SCIENCE |x System Theory. |2 bisacsh | |
| 650 | 7 | |a Biological systems |x Mathematical models |2 fast | |
| 650 | 7 | |a Social systems |x Mathematical models |2 fast | |
| 650 | 7 | |a System analysis |2 fast | |
| 650 | 7 | |a Topology |2 fast | |
| 700 | 1 | |a Rendell, Casandra, |e editor. | |
| 758 | |i has work: |a Network topologies (Text) |1 https://id.oclc.org/worldcat/entity/E39PD3pCRG6QgdJv4vcBCy7d33 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |t Network topologies. |d Hauppauge, New York : Nova Science Publishers, Inc., [2013] |z 9781626181809 |w (DLC) 2013004834 |w (OCoLC)826896432 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=582618 |3 Volltext |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL3022392 | ||
| 938 | |a EBSCOhost |b EBSC |n 582618 | ||
| 938 | |a YBP Library Services |b YANK |n 10006175 | ||
| 994 | |a 92 |b GEBAY | ||
| 912 | |a ZDB-4-EBA | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn844924432 |
|---|---|
| _version_ | 1816882233503383552 |
| adam_text | |
| any_adam_object | |
| author2 | Rendell, Casandra |
| author2_role | edt |
| author2_variant | c r cr |
| author_facet | Rendell, Casandra |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA402 |
| callnumber-raw | QA402 .N485 2013eb |
| callnumber-search | QA402 .N485 2013eb |
| callnumber-sort | QA 3402 N485 42013EB |
| callnumber-subject | QA - Mathematics |
| collection | ZDB-4-EBA |
| contents | NETWORK TOPOLOGIES: TYPES, PERFORMANCE IMPACT AND ADVANTAGES/DISADVANTAGES; Library of Congress Cataloging-in-Publication Data; Contents; Preface; Chapter 1: Analyzing the Topological Structure of Networks and Related Problems via Simple Rules; Abstract; I. Introduction; II. Some Basic Concepts; Definitions and Notations; Average Degree; Average Shortest Path Length; Average Clustering Coefficient; Degree Distribution; Average Nearest Neighbors Degree; III. The Modeling of Protein-Protein Interaction Networks; Network Model and Result; IV. The Positioning of the Wireless Sensor Network. SSLA and ExamplesConclusion; Acknowledgments; References; Chapter 2: The Application of Artificial Neural Networks in the Diagnosis of Coronary Heart Disease; Abstract; Introduction; Network Algorithm; Input and Reference Signs; Selection of Input Signs; Selection of Reference Signs; Examples of the Application of ANNs in the Diagnosis of Coronary Artery Disease; Materials and Methods; Data Collection and Processing; ANN Algorithms; Testing; Results; Conclusion; References; Chapter 3: Signal Transduction Pathways: When Network Topology Can Explain Cell Function; Abstract; Introduction. Random NetworksSmall Word Networks; Scale-Free Networks; Hierarchical Networks; Signal Transduction; Smooth and Striated Muscle Contraction; The Neurotransmitter Release Cycle of Neurotransmitters (Norepinephrine, Acetylcoline, ( -Aminobutyric Acid (GABA), Serotonin, Glutamate and Dopamine); The Visual Phototransduction (Rods); The Sperm Capacitation; The Insulin Signaling Pathway; The Glucose Metabolism; The p53 Pathway; The Regulation of Retinoblastoma Protein (pRb); The Mitochondrial ATP Metabolism; The Signaling Events Mediated by Stem Cell Factor Receptor c-Kit (CD117); Circadian Clock. Exploring Signal Transduction TopologyConclusion; References; Chapter 4: Model-Based Risk Analysisof Complex Networks; Abstract; Introduction; Fault Tree Analysis; Network Risk; Model-Based Risk Analysis (MBRA); Network Resource Allocation; Simulation; Cascade Risk; Flow Risk; Exceedence Probability; References; Chapter 5: Biomedical and Clinical Networks of Cancer; Abstract; Clinical Therapies of Cancer; Networks of Cancer; References; Index. |
| ctrlnum | (OCoLC)844924432 |
| dewey-full | 003/.72 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 003 - Systems |
| dewey-raw | 003/.72 |
| dewey-search | 003/.72 |
| dewey-sort | 13 272 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04876cam a2200649 i 4500</leader><controlfield tag="001">ZDB-4-EBA-ocn844924432</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20241004212047.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr cnu---unuuu</controlfield><controlfield tag="008">130529s2013 nyu o 001 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">N$T</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">N$T</subfield><subfield code="d">YDXCP</subfield><subfield code="d">OCLCF</subfield><subfield code="d">OCLCO</subfield><subfield code="d">MEU</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">EBLCP</subfield><subfield code="d">DEBSZ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">AGLDB</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">VTS</subfield><subfield code="d">OCLCA</subfield><subfield code="d">AU@</subfield><subfield code="d">STF</subfield><subfield code="d">M8D</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">K6U</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCL</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781626181823</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1626181829</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781626181809</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">1626181802</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)844924432</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA402</subfield><subfield code="b">.N485 2013eb</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">SCI</subfield><subfield code="x">064000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">003/.72</subfield><subfield code="2">23</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Network Topologies :</subfield><subfield code="b">Types, Performance Impact, and Advantages/Disadvantages /</subfield><subfield code="c">editor, Casandra Rendell.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hauppauge, New York :</subfield><subfield code="b">Nova Science Publishers, Inc.,</subfield><subfield code="c">2013.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (162 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">Text in English.</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes index.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Print version record.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">NETWORK TOPOLOGIES: TYPES, PERFORMANCE IMPACT AND ADVANTAGES/DISADVANTAGES; Library of Congress Cataloging-in-Publication Data; Contents; Preface; Chapter 1: Analyzing the Topological Structure of Networks and Related Problems via Simple Rules; Abstract; I. Introduction; II. Some Basic Concepts; Definitions and Notations; Average Degree; Average Shortest Path Length; Average Clustering Coefficient; Degree Distribution; Average Nearest Neighbors Degree; III. The Modeling of Protein-Protein Interaction Networks; Network Model and Result; IV. The Positioning of the Wireless Sensor Network.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">SSLA and ExamplesConclusion; Acknowledgments; References; Chapter 2: The Application of Artificial Neural Networks in the Diagnosis of Coronary Heart Disease; Abstract; Introduction; Network Algorithm; Input and Reference Signs; Selection of Input Signs; Selection of Reference Signs; Examples of the Application of ANNs in the Diagnosis of Coronary Artery Disease; Materials and Methods; Data Collection and Processing; ANN Algorithms; Testing; Results; Conclusion; References; Chapter 3: Signal Transduction Pathways: When Network Topology Can Explain Cell Function; Abstract; Introduction.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Random NetworksSmall Word Networks; Scale-Free Networks; Hierarchical Networks; Signal Transduction; Smooth and Striated Muscle Contraction; The Neurotransmitter Release Cycle of Neurotransmitters (Norepinephrine, Acetylcoline, ( -Aminobutyric Acid (GABA), Serotonin, Glutamate and Dopamine); The Visual Phototransduction (Rods); The Sperm Capacitation; The Insulin Signaling Pathway; The Glucose Metabolism; The p53 Pathway; The Regulation of Retinoblastoma Protein (pRb); The Mitochondrial ATP Metabolism; The Signaling Events Mediated by Stem Cell Factor Receptor c-Kit (CD117); Circadian Clock.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Exploring Signal Transduction TopologyConclusion; References; Chapter 4: Model-Based Risk Analysisof Complex Networks; Abstract; Introduction; Fault Tree Analysis; Network Risk; Model-Based Risk Analysis (MBRA); Network Resource Allocation; Simulation; Cascade Risk; Flow Risk; Exceedence Probability; References; Chapter 5: Biomedical and Clinical Networks of Cancer; Abstract; Clinical Therapies of Cancer; Networks of Cancer; References; Index.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">System analysis.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Topology.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85136089</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Biological systems</subfield><subfield code="x">Mathematical models.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Social systems</subfield><subfield code="x">Mathematical models.</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Systems Analysis</subfield><subfield code="0">https://id.nlm.nih.gov/mesh/D013597</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Analyse de systèmes.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Topologie.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Systèmes biologiques</subfield><subfield code="x">Modèles mathématiques.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Systèmes sociaux</subfield><subfield code="x">Modèles mathématiques.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">systems analysis.</subfield><subfield code="2">aat</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SCIENCE</subfield><subfield code="x">System Theory.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Biological systems</subfield><subfield code="x">Mathematical models</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Social systems</subfield><subfield code="x">Mathematical models</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">System analysis</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Topology</subfield><subfield code="2">fast</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rendell, Casandra,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">Network topologies (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PD3pCRG6QgdJv4vcBCy7d33</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="t">Network topologies.</subfield><subfield code="d">Hauppauge, New York : Nova Science Publishers, Inc., [2013]</subfield><subfield code="z">9781626181809</subfield><subfield code="w">(DLC) 2013004834</subfield><subfield code="w">(OCoLC)826896432</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=582618</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">ProQuest Ebook Central</subfield><subfield code="b">EBLB</subfield><subfield code="n">EBL3022392</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">582618</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">YBP Library Services</subfield><subfield code="b">YANK</subfield><subfield code="n">10006175</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| id | ZDB-4-EBA-ocn844924432 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:25:21Z |
| institution | BVB |
| isbn | 9781626181823 1626181829 |
| language | English |
| oclc_num | 844924432 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (162 pages) |
| psigel | ZDB-4-EBA |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Nova Science Publishers, Inc., |
| record_format | marc |
| spelling | Network Topologies : Types, Performance Impact, and Advantages/Disadvantages / editor, Casandra Rendell. Hauppauge, New York : Nova Science Publishers, Inc., 2013. 1 online resource (162 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Text in English. Includes index. Print version record. NETWORK TOPOLOGIES: TYPES, PERFORMANCE IMPACT AND ADVANTAGES/DISADVANTAGES; Library of Congress Cataloging-in-Publication Data; Contents; Preface; Chapter 1: Analyzing the Topological Structure of Networks and Related Problems via Simple Rules; Abstract; I. Introduction; II. Some Basic Concepts; Definitions and Notations; Average Degree; Average Shortest Path Length; Average Clustering Coefficient; Degree Distribution; Average Nearest Neighbors Degree; III. The Modeling of Protein-Protein Interaction Networks; Network Model and Result; IV. The Positioning of the Wireless Sensor Network. SSLA and ExamplesConclusion; Acknowledgments; References; Chapter 2: The Application of Artificial Neural Networks in the Diagnosis of Coronary Heart Disease; Abstract; Introduction; Network Algorithm; Input and Reference Signs; Selection of Input Signs; Selection of Reference Signs; Examples of the Application of ANNs in the Diagnosis of Coronary Artery Disease; Materials and Methods; Data Collection and Processing; ANN Algorithms; Testing; Results; Conclusion; References; Chapter 3: Signal Transduction Pathways: When Network Topology Can Explain Cell Function; Abstract; Introduction. Random NetworksSmall Word Networks; Scale-Free Networks; Hierarchical Networks; Signal Transduction; Smooth and Striated Muscle Contraction; The Neurotransmitter Release Cycle of Neurotransmitters (Norepinephrine, Acetylcoline, ( -Aminobutyric Acid (GABA), Serotonin, Glutamate and Dopamine); The Visual Phototransduction (Rods); The Sperm Capacitation; The Insulin Signaling Pathway; The Glucose Metabolism; The p53 Pathway; The Regulation of Retinoblastoma Protein (pRb); The Mitochondrial ATP Metabolism; The Signaling Events Mediated by Stem Cell Factor Receptor c-Kit (CD117); Circadian Clock. Exploring Signal Transduction TopologyConclusion; References; Chapter 4: Model-Based Risk Analysisof Complex Networks; Abstract; Introduction; Fault Tree Analysis; Network Risk; Model-Based Risk Analysis (MBRA); Network Resource Allocation; Simulation; Cascade Risk; Flow Risk; Exceedence Probability; References; Chapter 5: Biomedical and Clinical Networks of Cancer; Abstract; Clinical Therapies of Cancer; Networks of Cancer; References; Index. System analysis. Topology. http://id.loc.gov/authorities/subjects/sh85136089 Biological systems Mathematical models. Social systems Mathematical models. Systems Analysis https://id.nlm.nih.gov/mesh/D013597 Analyse de systèmes. Topologie. Systèmes biologiques Modèles mathématiques. Systèmes sociaux Modèles mathématiques. systems analysis. aat SCIENCE System Theory. bisacsh Biological systems Mathematical models fast Social systems Mathematical models fast System analysis fast Topology fast Rendell, Casandra, editor. has work: Network topologies (Text) https://id.oclc.org/worldcat/entity/E39PD3pCRG6QgdJv4vcBCy7d33 https://id.oclc.org/worldcat/ontology/hasWork Print version: Network topologies. Hauppauge, New York : Nova Science Publishers, Inc., [2013] 9781626181809 (DLC) 2013004834 (OCoLC)826896432 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=582618 Volltext |
| spellingShingle | Network Topologies : Types, Performance Impact, and Advantages/Disadvantages / NETWORK TOPOLOGIES: TYPES, PERFORMANCE IMPACT AND ADVANTAGES/DISADVANTAGES; Library of Congress Cataloging-in-Publication Data; Contents; Preface; Chapter 1: Analyzing the Topological Structure of Networks and Related Problems via Simple Rules; Abstract; I. Introduction; II. Some Basic Concepts; Definitions and Notations; Average Degree; Average Shortest Path Length; Average Clustering Coefficient; Degree Distribution; Average Nearest Neighbors Degree; III. The Modeling of Protein-Protein Interaction Networks; Network Model and Result; IV. The Positioning of the Wireless Sensor Network. SSLA and ExamplesConclusion; Acknowledgments; References; Chapter 2: The Application of Artificial Neural Networks in the Diagnosis of Coronary Heart Disease; Abstract; Introduction; Network Algorithm; Input and Reference Signs; Selection of Input Signs; Selection of Reference Signs; Examples of the Application of ANNs in the Diagnosis of Coronary Artery Disease; Materials and Methods; Data Collection and Processing; ANN Algorithms; Testing; Results; Conclusion; References; Chapter 3: Signal Transduction Pathways: When Network Topology Can Explain Cell Function; Abstract; Introduction. Random NetworksSmall Word Networks; Scale-Free Networks; Hierarchical Networks; Signal Transduction; Smooth and Striated Muscle Contraction; The Neurotransmitter Release Cycle of Neurotransmitters (Norepinephrine, Acetylcoline, ( -Aminobutyric Acid (GABA), Serotonin, Glutamate and Dopamine); The Visual Phototransduction (Rods); The Sperm Capacitation; The Insulin Signaling Pathway; The Glucose Metabolism; The p53 Pathway; The Regulation of Retinoblastoma Protein (pRb); The Mitochondrial ATP Metabolism; The Signaling Events Mediated by Stem Cell Factor Receptor c-Kit (CD117); Circadian Clock. Exploring Signal Transduction TopologyConclusion; References; Chapter 4: Model-Based Risk Analysisof Complex Networks; Abstract; Introduction; Fault Tree Analysis; Network Risk; Model-Based Risk Analysis (MBRA); Network Resource Allocation; Simulation; Cascade Risk; Flow Risk; Exceedence Probability; References; Chapter 5: Biomedical and Clinical Networks of Cancer; Abstract; Clinical Therapies of Cancer; Networks of Cancer; References; Index. System analysis. Topology. http://id.loc.gov/authorities/subjects/sh85136089 Biological systems Mathematical models. Social systems Mathematical models. Systems Analysis https://id.nlm.nih.gov/mesh/D013597 Analyse de systèmes. Topologie. Systèmes biologiques Modèles mathématiques. Systèmes sociaux Modèles mathématiques. systems analysis. aat SCIENCE System Theory. bisacsh Biological systems Mathematical models fast Social systems Mathematical models fast System analysis fast Topology fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85136089 https://id.nlm.nih.gov/mesh/D013597 |
| title | Network Topologies : Types, Performance Impact, and Advantages/Disadvantages / |
| title_auth | Network Topologies : Types, Performance Impact, and Advantages/Disadvantages / |
| title_exact_search | Network Topologies : Types, Performance Impact, and Advantages/Disadvantages / |
| title_full | Network Topologies : Types, Performance Impact, and Advantages/Disadvantages / editor, Casandra Rendell. |
| title_fullStr | Network Topologies : Types, Performance Impact, and Advantages/Disadvantages / editor, Casandra Rendell. |
| title_full_unstemmed | Network Topologies : Types, Performance Impact, and Advantages/Disadvantages / editor, Casandra Rendell. |
| title_short | Network Topologies : |
| title_sort | network topologies types performance impact and advantages disadvantages |
| title_sub | Types, Performance Impact, and Advantages/Disadvantages / |
| topic | System analysis. Topology. http://id.loc.gov/authorities/subjects/sh85136089 Biological systems Mathematical models. Social systems Mathematical models. Systems Analysis https://id.nlm.nih.gov/mesh/D013597 Analyse de systèmes. Topologie. Systèmes biologiques Modèles mathématiques. Systèmes sociaux Modèles mathématiques. systems analysis. aat SCIENCE System Theory. bisacsh Biological systems Mathematical models fast Social systems Mathematical models fast System analysis fast Topology fast |
| topic_facet | System analysis. Topology. Biological systems Mathematical models. Social systems Mathematical models. Systems Analysis Analyse de systèmes. Topologie. Systèmes biologiques Modèles mathématiques. Systèmes sociaux Modèles mathématiques. systems analysis. SCIENCE System Theory. Biological systems Mathematical models Social systems Mathematical models System analysis Topology |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=582618 |
| work_keys_str_mv | AT rendellcasandra networktopologiestypesperformanceimpactandadvantagesdisadvantages |