Search Results - "Law"

Managing Risk and Information Security Protect to Enable / by Harkins, Malcolm

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Anything Goes : Charleston Conference Proceedings 2010 /

Table of Contents: “…. -- The long arm of the law / Ann Okerson, William Hannay, Lauren K. Schoenthaler. -- E-everything, putting it all together / Peter McCracken. -- Innovative practices in electronic resources and acquisition management / Ryan Weir, Geoffrey P. …”
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Managing Risk and Information Security Protect to Enable / by Harkins, Malcolm

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Anything Goes : Charleston Conference Proceedings 2010 /

Table of Contents: “…. -- The long arm of the law / Ann Okerson, William Hannay, Lauren K. Schoenthaler. -- E-everything, putting it all together / Peter McCracken. -- Innovative practices in electronic resources and acquisition management / Ryan Weir, Geoffrey P. …”
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Classical and modern engineering methods in fluid flow and heat transfer an introduction for engineers and students / by Dorfman, A. Sh. (Abram Shlemovich)

Table of Contents: “…Laminar gradient flow with power-law free-stream velocity cx m -- 6.1.2.5. Asymmetric laminar-turbulent flow -- 6.2 Charts for solving conjugate heat transfer -- 6.2.1 Charts development -- 6.2.2 Using charts -- Exercises 6.1-6.17 -- 6.3 Applicability of charts and one-dimensional approach -- 6.3.1 Refining and estimating accuracy of the charts data -- 6.3.2 Applicability of thermally thin body assumption -- 6.3.3 Applicability of the one-dimensional approach and two-dimensional effects -- 6.4 Conjugate heat transfer in flow past plates -- Exercises 6.18-6.31 -- Conclusion of heat transfer investigation (chapters 4-6) -- Should any heat transfer problem be considered as a conjugate? …”
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Classical and modern engineering methods in fluid flow and heat transfer an introduction for engineers and students / by Dorfman, A. Sh. (Abram Shlemovich)

Table of Contents: “…Laminar gradient flow with power-law free-stream velocity cx m -- 6.1.2.5. Asymmetric laminar-turbulent flow -- 6.2 Charts for solving conjugate heat transfer -- 6.2.1 Charts development -- 6.2.2 Using charts -- Exercises 6.1-6.17 -- 6.3 Applicability of charts and one-dimensional approach -- 6.3.1 Refining and estimating accuracy of the charts data -- 6.3.2 Applicability of thermally thin body assumption -- 6.3.3 Applicability of the one-dimensional approach and two-dimensional effects -- 6.4 Conjugate heat transfer in flow past plates -- Exercises 6.18-6.31 -- Conclusion of heat transfer investigation (chapters 4-6) -- Should any heat transfer problem be considered as a conjugate? …”
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Evaluation of enzyme inhibitors in drug discovery a guide for medicinal chemists and pharmacologists / by Copeland, Robert Allen

Table of Contents: “…Kinetic of Biochemical Reactions.A1.1 The Law of Mass Action and Reaction Order.A1.2 First-Order Reaction Kinetics.A1.3 Second-Order Reaction Kinetics.A1.4 Pseudo-First-Order Reaction Conditions.A1.5 Approach to Equilibrium: An Example of the Kinetics of Reversible Reactions.References.Appendix 2. …”
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Evaluation of enzyme inhibitors in drug discovery a guide for medicinal chemists and pharmacologists / by Copeland, Robert Allen

Table of Contents: “…Kinetic of Biochemical Reactions.A1.1 The Law of Mass Action and Reaction Order.A1.2 First-Order Reaction Kinetics.A1.3 Second-Order Reaction Kinetics.A1.4 Pseudo-First-Order Reaction Conditions.A1.5 Approach to Equilibrium: An Example of the Kinetics of Reversible Reactions.References.Appendix 2. …”
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Atomic absorption spectrometry : an introduction / by Sanz-Medel, Alfredo, Pereiro, Rosario

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Atomic absorption spectrometry : an introduction / by Sanz-Medel, Alfredo, Pereiro, Rosario

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Transboundary water resources management : a multidisciplinary approach /

Table of Contents: “…Three Legal, Socio-Economic and Institutional Approaches -- 6.Legal Approaches -- 6.1.The Law of Transboundary Aquifers: Scope and Rippling Effects / Lilian Del Castillo-Laborde -- 6.1.1.Introduction -- 6.1.2.Legal Principles for Transboundary Aquifers -- 6.1.3.The Scope of the Draft Adopted by the UN General Assembly -- 6.1.4.Provisions Concerning Access -- 6.1.5.Provisions Concerning Utilization -- 6.1.6.Provisions Concerning Protection, Preservation and Management -- 6.1.6.1.Provisions on Duties -- 6.1.6.2.Provisions on Implementation Mechanisms -- 6.1.7.Provisions Concerning Technical Cooperation, Emergency Situations and Armed Conflict -- 6.1.8.Other Rules Applicable to Transboundary Shared Resources -- 6.1.9.Case study: The Guarani Aquifer System -- 6.1.10.Conclusions -- References -- Further Reading -- 6.2.Water Management Policies to Reduce over Allocation of Water Rights in the Rio Grande/Bravo Basin / Rebecca L. …”
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Transboundary water resources management : a multidisciplinary approach /

Table of Contents: “…Three Legal, Socio-Economic and Institutional Approaches -- 6.Legal Approaches -- 6.1.The Law of Transboundary Aquifers: Scope and Rippling Effects / Lilian Del Castillo-Laborde -- 6.1.1.Introduction -- 6.1.2.Legal Principles for Transboundary Aquifers -- 6.1.3.The Scope of the Draft Adopted by the UN General Assembly -- 6.1.4.Provisions Concerning Access -- 6.1.5.Provisions Concerning Utilization -- 6.1.6.Provisions Concerning Protection, Preservation and Management -- 6.1.6.1.Provisions on Duties -- 6.1.6.2.Provisions on Implementation Mechanisms -- 6.1.7.Provisions Concerning Technical Cooperation, Emergency Situations and Armed Conflict -- 6.1.8.Other Rules Applicable to Transboundary Shared Resources -- 6.1.9.Case study: The Guarani Aquifer System -- 6.1.10.Conclusions -- References -- Further Reading -- 6.2.Water Management Policies to Reduce over Allocation of Water Rights in the Rio Grande/Bravo Basin / Rebecca L. …”
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The Emerald handbook of research management and administration around the world /

Table of Contents: “…The profession of research management and administration in Ireland / John Donovan, Susie Cullinane, Doris Alexander, Peter Scott, and Jean van Sinderen Law -- Chapter 5.34. The profession of research management and administration in Italy / Valentina Romano, Annalisa Albanesi, Danilo Aceto Zumbo, Mirella Collini, Adele Del Bello, Daniela Grisi, and Francesca Mura -- Chapter 5.35. …”
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The Emerald handbook of research management and administration around the world /

Table of Contents: “…The profession of research management and administration in Ireland / John Donovan, Susie Cullinane, Doris Alexander, Peter Scott, and Jean van Sinderen Law -- Chapter 5.34. The profession of research management and administration in Italy / Valentina Romano, Annalisa Albanesi, Danilo Aceto Zumbo, Mirella Collini, Adele Del Bello, Daniela Grisi, and Francesca Mura -- Chapter 5.35. …”
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Too Much is Not Enough : Charleston Conference Proceedings, 2013 /

Table of Contents: “…-published research / Alicia Wise, Amy Friedlander, Howard Ratner, Judy Ruttenberg and John Wilbanks – Plato’s cave revisited / Bruce Heterick – The British national approach to scholarly communication / Lorraine Estelle – University presses and academic libraries demystified: a conversation / Leila Salisbury, Peter Berkery, Angela Carreño, Ellen Faran and Fred Heath – The long arm of the law / Ann Okerson, William Hannay, Bruce Strauch, Georgia Harper and Madelyn Wessel – Hyde Park corner debate: resolved: the current system of scholarly publishing, whereby publishers receive content for free and then sell it back to libraries at a high price, must fundamentally change / Elizabeth Chapman, Rick Anderson and Jean-Claude Guédon – I hear the train a comin’ / Greg Tananbaum, William Gunn and Lorraine Haricombe –…”
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Too Much is Not Enough : Charleston Conference Proceedings, 2013 /

Table of Contents: “…-published research / Alicia Wise, Amy Friedlander, Howard Ratner, Judy Ruttenberg and John Wilbanks – Plato’s cave revisited / Bruce Heterick – The British national approach to scholarly communication / Lorraine Estelle – University presses and academic libraries demystified: a conversation / Leila Salisbury, Peter Berkery, Angela Carreño, Ellen Faran and Fred Heath – The long arm of the law / Ann Okerson, William Hannay, Bruce Strauch, Georgia Harper and Madelyn Wessel – Hyde Park corner debate: resolved: the current system of scholarly publishing, whereby publishers receive content for free and then sell it back to libraries at a high price, must fundamentally change / Elizabeth Chapman, Rick Anderson and Jean-Claude Guédon – I hear the train a comin’ / Greg Tananbaum, William Gunn and Lorraine Haricombe –…”
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Statistical disclosure control

Table of Contents: “…Machine generated contents note: Preface vii Acknowledgements ix 1 Introduction 1 1.1 Concepts and Definitions 2 1.1.1 Disclosure 2 1.1.2 Statistical disclosure control 2 1.1.3 Tabular data 3 1.1.4 Microdata 3 1.1.5 Risk and utility 4 1.2 An approach to Statistical Disclosure Control 6 1.3 The chapters of the handbook 8 2 Ethics, Principles, Guidelines and Regulations, a general background 9 2.1 Introduction 9 2.2 Ethical codes and the new ISI code 9 2.2.1 ISI Declaration on Professional Ethics 10 2.2.2 New ISI Declaration on Professional Ethics 10 2.2.3 European Statistics Code of Practice 14 2.3 UNECE Principles and guidelines 14 2.4 Laws 17 2.4.1 Committee on Statistical Confidentiality 18 2.4.2 European Statistical System Committee 18 3 Microdata 21 3.1 Introduction 21 3.2 Microdata Concepts 22 3.2.1 Stage 1: Assess need for confidentiality protection 22 3.2.2 Stage 2: Key characteristics and uses of microdata 24 3.2.3 Stage 3: Disclosure risk 27 3.2.4 Stage 4: Protection methods 29 3.2.5 Stage 5: Implementation 30 3.3 Definitions of disclosure 32 3.3.1 Definitions of disclosure scenarios 33 3.4 Definitions of Disclosure Risk 34 3.4.1 Disclosure risk for categorical quasi-identifiers 35 3.4.2 Disclosure risk for continuous quasi-identifiers 37 3.5 Estimating Re-identification Risk 39 3.5.1 Individual risk based on the sample: threshold rule 39 3.5.2 Estimating individual risk using sampling weights 39 3.5.3 Estimating individual risk by Poisson model 42 3.5.4 Further models that borrow information from other sources 43 3.5.5 Estimating per record risk via heuristics 44 3.5.6 Assessing risk via record linkage 45 3.6 Non-Perturbative Microdata Masking 45 3.6.1 Sampling 46 3.6.2 Global recoding 46 3.6.3 Top and bottom coding 47 3.6.4 Local suppression 47 3.7 Perturbative Microdata Masking 48 3.7.1 Additive noise masking 48 3.7.2 Multiplicative noise masking 52 3.7.3 Microaggregation 54 3.7.4 Data swapping and rank swapping 66 3.7.5 Data shuffling 66 3.7.6 Rounding 67 3.7.7 Resampling 67 3.7.8 PRAM 67 3.7.9 MASSC 71 3.8 Synthetic and Hybrid Data 71 3.8.1 Fully synthetic data 72 3.8.2 Partially synthetic data 77 3.8.3 Hybrid data 79 3.8.4 Pros and cons of synthetic and hybrid data 88 3.9 Information Loss in Microdata 91 3.9.1 Information loss measures for continuous data 92 3.9.2 Information loss measures for categorical data 99 3.10 Release of multiple files from the same microdata set 101 3.11 Software 102 3.11.1 _-ARGUS 102 3.11.2 sdcMicro 103 3.11.3 IVEware 106 3.12 Case Studies 106 3.12.1 Microdata files at Statistics Netherlands 106 3.12.2 The European Labour Force Survey Microdata for Research Purposes 108 3.12.3 The European Structure of Earnings Survey Microdata for Research Purposes 111 3.12.4 NHIS Linked Mortality Data Public Use File, USA 117 3.12.5 Other real case instances 119 4 Magnitude tabular data 121 4.1 Introduction 121 4.1.1 Magnitude Tabular Data: Basic Terminology 121 4.1.2 Complex tabular data structures: hierarchical and linked tables 122 4.1.3 Risk Concepts 124 4.1.4 Protection Concepts 127 4.1.5 Information Loss Concepts 127 4.1.6 Implementation: Software, Guidelines and Case Study 127 4.2 Disclosure Risk Assessment I: Primary Sensitive Cells 128 4.2.1 Intruder Scenarios 128 4.2.2 Sensitivity rules 129 4.3 Disclosure Risk Assessment II: Secondary risk assessment 140 4.3.1 Feasibility Interval 141 4.3.2 Protection Level 142 4.3.3 Singleton and multi cell disclosure 143 4.3.4 Risk models for hierarchical and linked tables 144 4.4 Non-Perturbative Protection Methods 145 4.4.1 Global Recoding 145 4.4.2 The Concept of Cell Suppression 145 4.4.3 Algorithms for Secondary Cell Suppression 146 4.4.4 Secondary Cell Suppression in Hierarchical and Linked Tables 149 4.5 Perturbative Protection Methods 151 4.5.1 A pre-tabular method: Multiplicative Noise 152 4.5.2 A Post-tabular Method: Controlled Tabular Adjustment 153 4.6 Information Loss Measures for Tabular Data 153 4.6.1 Cell Costs for Cell Suppression 153 4.6.2 Cell Costs for CTA 154 4.6.3 Information Loss Measures to Evaluate the Outcome of Table Protection 155 4.7 Software for Tabular Data Protection 155 4.7.1 Empirical comparison of cell suppression algorithms 156 4.8 Guidelines: Setting up an efficient table model systematically 160 4.8.1 Defining Spanning Variables 161 4.8.2 Response Variables and Mapping Rules 162 4.9 Case Studies 164 4.9.1 Response Variables and Mapping Rules of the Case Study 164 4.9.2 Spanning Variables of the Case Study 165 4.9.3 Analysing the Tables of the Case Study 165 4.9.4 Software Issues of the Case Study 167 5 Frequency tables 169 5.1 Introduction 169 5.2 Disclosure risks 169 5.3 Methods 176 5.4 Post-tabular methods 178 5.4.1 Cell Suppression 178 5.4.2 ABS Cell Perturbation 179 5.4.3 Rounding 179 5.5 Information loss 184 5.6 Software 186 5.6.1 Introduction 186 5.7 Case Studies 188 5.7.1 UK Census 188 5.7.2 Australian and New Zealand Censuses 190 6 Data Access Issues 193 6.1 Introduction 193 6.2 Research Data Centres 193 6.3 Remote Execution 194 6.4 Remote Access 195 6.5 Licensing 196 6.6 Guidelines on output checking 196 6.6.1 Introduction 196 6.6.2 General approach 197 6.6.3 Rules for output checking 199 6.6.4 Organizational/procedural aspects of output checking 208 6.6.5 Researcher training 215 6.7 Additional issues concerning data access 218 6.7.1 Examples of disclaimers 218 6.7.2 Output description 218 6.8 Case Studies 219 6.8.1 The U.S. …”
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Statistical disclosure control

Table of Contents: “…Machine generated contents note: Preface vii Acknowledgements ix 1 Introduction 1 1.1 Concepts and Definitions 2 1.1.1 Disclosure 2 1.1.2 Statistical disclosure control 2 1.1.3 Tabular data 3 1.1.4 Microdata 3 1.1.5 Risk and utility 4 1.2 An approach to Statistical Disclosure Control 6 1.3 The chapters of the handbook 8 2 Ethics, Principles, Guidelines and Regulations, a general background 9 2.1 Introduction 9 2.2 Ethical codes and the new ISI code 9 2.2.1 ISI Declaration on Professional Ethics 10 2.2.2 New ISI Declaration on Professional Ethics 10 2.2.3 European Statistics Code of Practice 14 2.3 UNECE Principles and guidelines 14 2.4 Laws 17 2.4.1 Committee on Statistical Confidentiality 18 2.4.2 European Statistical System Committee 18 3 Microdata 21 3.1 Introduction 21 3.2 Microdata Concepts 22 3.2.1 Stage 1: Assess need for confidentiality protection 22 3.2.2 Stage 2: Key characteristics and uses of microdata 24 3.2.3 Stage 3: Disclosure risk 27 3.2.4 Stage 4: Protection methods 29 3.2.5 Stage 5: Implementation 30 3.3 Definitions of disclosure 32 3.3.1 Definitions of disclosure scenarios 33 3.4 Definitions of Disclosure Risk 34 3.4.1 Disclosure risk for categorical quasi-identifiers 35 3.4.2 Disclosure risk for continuous quasi-identifiers 37 3.5 Estimating Re-identification Risk 39 3.5.1 Individual risk based on the sample: threshold rule 39 3.5.2 Estimating individual risk using sampling weights 39 3.5.3 Estimating individual risk by Poisson model 42 3.5.4 Further models that borrow information from other sources 43 3.5.5 Estimating per record risk via heuristics 44 3.5.6 Assessing risk via record linkage 45 3.6 Non-Perturbative Microdata Masking 45 3.6.1 Sampling 46 3.6.2 Global recoding 46 3.6.3 Top and bottom coding 47 3.6.4 Local suppression 47 3.7 Perturbative Microdata Masking 48 3.7.1 Additive noise masking 48 3.7.2 Multiplicative noise masking 52 3.7.3 Microaggregation 54 3.7.4 Data swapping and rank swapping 66 3.7.5 Data shuffling 66 3.7.6 Rounding 67 3.7.7 Resampling 67 3.7.8 PRAM 67 3.7.9 MASSC 71 3.8 Synthetic and Hybrid Data 71 3.8.1 Fully synthetic data 72 3.8.2 Partially synthetic data 77 3.8.3 Hybrid data 79 3.8.4 Pros and cons of synthetic and hybrid data 88 3.9 Information Loss in Microdata 91 3.9.1 Information loss measures for continuous data 92 3.9.2 Information loss measures for categorical data 99 3.10 Release of multiple files from the same microdata set 101 3.11 Software 102 3.11.1 _-ARGUS 102 3.11.2 sdcMicro 103 3.11.3 IVEware 106 3.12 Case Studies 106 3.12.1 Microdata files at Statistics Netherlands 106 3.12.2 The European Labour Force Survey Microdata for Research Purposes 108 3.12.3 The European Structure of Earnings Survey Microdata for Research Purposes 111 3.12.4 NHIS Linked Mortality Data Public Use File, USA 117 3.12.5 Other real case instances 119 4 Magnitude tabular data 121 4.1 Introduction 121 4.1.1 Magnitude Tabular Data: Basic Terminology 121 4.1.2 Complex tabular data structures: hierarchical and linked tables 122 4.1.3 Risk Concepts 124 4.1.4 Protection Concepts 127 4.1.5 Information Loss Concepts 127 4.1.6 Implementation: Software, Guidelines and Case Study 127 4.2 Disclosure Risk Assessment I: Primary Sensitive Cells 128 4.2.1 Intruder Scenarios 128 4.2.2 Sensitivity rules 129 4.3 Disclosure Risk Assessment II: Secondary risk assessment 140 4.3.1 Feasibility Interval 141 4.3.2 Protection Level 142 4.3.3 Singleton and multi cell disclosure 143 4.3.4 Risk models for hierarchical and linked tables 144 4.4 Non-Perturbative Protection Methods 145 4.4.1 Global Recoding 145 4.4.2 The Concept of Cell Suppression 145 4.4.3 Algorithms for Secondary Cell Suppression 146 4.4.4 Secondary Cell Suppression in Hierarchical and Linked Tables 149 4.5 Perturbative Protection Methods 151 4.5.1 A pre-tabular method: Multiplicative Noise 152 4.5.2 A Post-tabular Method: Controlled Tabular Adjustment 153 4.6 Information Loss Measures for Tabular Data 153 4.6.1 Cell Costs for Cell Suppression 153 4.6.2 Cell Costs for CTA 154 4.6.3 Information Loss Measures to Evaluate the Outcome of Table Protection 155 4.7 Software for Tabular Data Protection 155 4.7.1 Empirical comparison of cell suppression algorithms 156 4.8 Guidelines: Setting up an efficient table model systematically 160 4.8.1 Defining Spanning Variables 161 4.8.2 Response Variables and Mapping Rules 162 4.9 Case Studies 164 4.9.1 Response Variables and Mapping Rules of the Case Study 164 4.9.2 Spanning Variables of the Case Study 165 4.9.3 Analysing the Tables of the Case Study 165 4.9.4 Software Issues of the Case Study 167 5 Frequency tables 169 5.1 Introduction 169 5.2 Disclosure risks 169 5.3 Methods 176 5.4 Post-tabular methods 178 5.4.1 Cell Suppression 178 5.4.2 ABS Cell Perturbation 179 5.4.3 Rounding 179 5.5 Information loss 184 5.6 Software 186 5.6.1 Introduction 186 5.7 Case Studies 188 5.7.1 UK Census 188 5.7.2 Australian and New Zealand Censuses 190 6 Data Access Issues 193 6.1 Introduction 193 6.2 Research Data Centres 193 6.3 Remote Execution 194 6.4 Remote Access 195 6.5 Licensing 196 6.6 Guidelines on output checking 196 6.6.1 Introduction 196 6.6.2 General approach 197 6.6.3 Rules for output checking 199 6.6.4 Organizational/procedural aspects of output checking 208 6.6.5 Researcher training 215 6.7 Additional issues concerning data access 218 6.7.1 Examples of disclaimers 218 6.7.2 Output description 218 6.8 Case Studies 219 6.8.1 The U.S. …”
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Confronting chronic neglect the education and training of health professionals on family violence /

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Confronting chronic neglect the education and training of health professionals on family violence /

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