“…Ways of Being Ethnic in Southwest China exemplifies a model in which ethnic consciousness and ethnic relations consist of drawing boundaries between one's own group and others, crossing those boundaries, and promoting internal unity within a group. …”

“…At the same time, increased cross-border integration and power trade does require increased co-ordination and regulatory harmonisation. …”

“…Together, the articles compose a multidimensional, multilingual, variable, and ever-changing linguistic reality where diverse borders, boundaries, and barriers meet, intertwine, and cross each other. The combination of the articles also aims to cross disciplinary and methodological borders and present new perspectives on earlier studies"--Back cover…”

“…In The Photoshop Productivity Series: Customizing Photoshop–the first in a three-part "Photoshop Productivity" series by Photoshop guru Dave Cross–Dave teaches you that Photoshop productivity is not just about actions and automation. …”

“…Using network analysis, Rob Cross has found the answer to collaborative overload: Precision collaboration. …”

“…If you want to target the development of specific competencies as a result of receiving feedback from any of these, the cross-references will direct you to appropriate assignments…”

“…Additional contributions highlight the cross-cutting themes of infrastructure, exchange and image. …”

“…Python is a powerful object-oriented programming language used in many development areas and is considered a perfect language for scripting. Python is a cross-platform programming language that allows you to code faster with lesser code writing required. …”

“…This volume deals with cross-border infrastructural cooperation during the Second World War. …”

“…Leading the Mass Timber design dialogue in the US, the author, Susan Jones, an architect in Seattle, Washington, has been pioneering the new, innovative use of wood over the past six years, since she built her own family's house from cross-laminated timber in 2015 in a neighbourhood in Seattle. …”

“…In addition, a cross-border crisis-management framework for Europe is needed. …”

Tabla de Contenidos: “…Correlation of X-ray studies with kinetic data / 13C-NMR study on the active sites of lipoamide dehydrogenase and glutathione reductase / X-ray crystallographic studies on lipoamide dehydrogenase from Azotobacter vinelandii / Mobility of lipoamide dehydrogenase in and out of the pyruvate dehydrogenase complex from Azotobacter vinelandii / Partial amino acid sequence of pig heart lipoamide dehydrogenase / The amino acid sequence encompassing the active site histidine residue of lipoamide dehydrogenase from Escherichia coli labelled with a bifunctional arsenoxide / Inactivation of pig heart lipoamide dehydrogenase by 1,3-dibromoacetone / The evolution of mercuric reductase, and a redox transfer model for mercuric ion detoxification in bacteria / Structural studies on ferredoxin-NADP+ oxidoreductase from Spirulina, a blue-green alga / The amino acid sequence and partial tertiary structure of ferredoxin-NADP+ oxidoreductase from spinach / On the nature of ferredoxin: ferredoxin-NADP+ reductase complex / Properties of a cross-linked complex between ferredoxin-NADP+ reductase and ferredoxin / On the enigma of old yellow enzyme's spectral properties / "On the enigma of old yellow enzyme's spectral properties" / NMR studies on the old yellow enzyme / Structural and kinetic characteristics of dimethylglycine dehydrogenase and sarcosine dehydrogenase / Evidence for two spatially distinct domains on each subunit of methylenetetrahydrofolate reductase / Structure of NADH-cytochrome b5 reductase of human erythrocytes / Structural comparison of the succinate dehydrogenase and fumarate reductase of Escherichia coli / Lack of assembly of succinate and NADH-ubiquinone oxidoreductases in iron-deficient rat skeletal muscle mitochondria / Crystal structure study of trimethylamine dehydrogenase / The flavin domain of assimilatory NADH: nitrate reductase from Chlorella vulgaris / Polarized absorption spectra of flavocytochrome b2 single crystals / FMN-protein interactions in flavodoxin from A. nidulans / Photochemical formation of a stable red derivative of flavodoxin / Desulfovibrio vulgaris flavodoxin. …”

Tabla de Contenidos: “…9.2.1 Force Balance -- 9.2.2 Free Settling -- 9.2.3 Hindered Settling -- 9.2.4 Effect of Density on Separation Efficiency -- 9.2.5 Effect of Classifier Operation on Grinding Circuit Behavior -- 9.3 Types of Classifiers -- 9.4 Centrifugal Classifiers-The Hydrocyclone -- 9.4.1 Basic Design and Operation -- 9.4.2 Characterization of Cyclone Efficiency -- The Partition Curve -- Sharpness of Cut -- Multidensity Feeds -- Unusual Partition Curves -- Cyclone Overflow Size Distribution -- 9.4.3 Hydrocyclones Versus Screens -- 9.4.4 Mathematical Models of Hydrocyclone Performance -- Bradley model -- Empirical Models -- Computational Models -- 9.4.5 Operating and Geometric Factors Affecting Cyclone Performance -- 9.4.6 Sizing and Scale-Up of Hydrocyclones -- Scale-Up of Hydrocyclones -- Sizing of Hydrocyclones-Arterburn Technique -- Sizing of Hydrocyclones-Mular-Jull Model -- Sizing of Hydrocyclones-Simulation Packages -- 9.5 Gravitational Classifiers -- 9.5.1 Sedimentation Classifiers -- Nonmechanical Sedimentation Classifiers -- Mechanical Sedimentation Classifiers -- 9.5.2 Hydraulic Classifiers -- References -- 10 Gravity Concentration -- 10.1 Introduction -- 10.2 Principles of Gravity Concentration -- 10.3 Gravitational Concentrators -- 10.3.1 Jigs -- Jigging Action -- Types of Jig -- 10.3.2 Spirals -- 10.3.3 Shaking Tables -- Duplex Concentrator -- Mozley Laboratory Separator -- 10.4 Centrifugal Concentrators -- Kelsey Centrifugal Jig -- Knelson Concentrator -- Falcon Concentrator -- Multi-Gravity Separator -- Testing for Gravity Recoverable Gold -- 10.5 Sluices and Cones -- Sluices -- Reichert Cone -- 10.6 Fluidized Bed Separators -- CrossFlowTM Separator -- Reflux ClassifierTM -- 10.7 Dry Processing -- Pneumatic Tables -- Air Jigs -- Other Pneumatic-Based Devices -- 10.8 Single-Stage Units and Circuits -- Single Versus Two Stages of Spirals…”

Tabla de Contenidos: “…3.3 Machine learning for classification -- 3.3.1 Logistic regression -- 3.3.2 Training logistic regression -- 3.3.3 Model interpretation -- 3.3.4 Using the model -- 3.4 Next steps -- 3.4.1 Exercises -- 3.4.2 Other projects -- Summary -- Answers to exercises -- 4 Evaluation metrics for classification -- 4.1 Evaluation metrics -- 4.1.1 Classification accuracy -- 4.1.2 Dummy baseline -- 4.2 Confusion table -- 4.2.1 Introduction to the confusion table -- 4.2.2 Calculating the confusion table with NumPy -- 4.2.3 Precision and recall -- 4.3 ROC curve and AUC score -- 4.3.1 True positive rate and false positive rate -- 4.3.2 Evaluating a model at multiple thresholds -- 4.3.3 Random baseline model -- 4.3.4 The ideal model -- 4.3.5 ROC Curve -- 4.3.6 Area under the ROC curve (AUC) -- 4.4 Parameter tuning -- 4.4.1 K-fold cross-validation -- 4.4.2 Finding best parameters -- 4.5 Next steps -- 4.5.1 Exercises -- 4.5.2 Other projects -- Summary -- Answers to exercises -- 5 Deploying machine learning models -- 5.1 Churn-prediction model -- 5.1.1 Using the model -- 5.1.2 Using Pickle to save and load the model -- 5.2 Model serving -- 5.2.1 Web services -- 5.2.2 Flask -- 5.2.3 Serving churn model with Flask -- 5.3 Managing dependencies -- 5.3.1 Pipenv -- 5.3.2 Docker -- 5.4 Deployment -- 5.4.1 AWS Elastic Beanstalk -- 5.5 Next steps -- 5.5.1 Exercises -- 5.5.2 Other projects -- Summary -- 6 Decision trees and ensemble learning -- 6.1 Credit risk scoring project -- 6.1.1 Credit scoring dataset -- 6.1.2 Data cleaning -- 6.1.3 Dataset preparation -- 6.2 Decision trees -- 6.2.1 Decision tree classifier -- 6.2.2Decision tree learning algorithm -- 6.2.3 Parameter tuning for decision tree -- 6.3 Random forest -- 6.3.1 Training a random forest -- 6.3.2 Parameter tuning for random forest -- 6.4 Gradient boosting -- 6.4.1 XGBoost: Extreme gradient boosting…”

Tabla de Contenidos: “…Chapter 6 Design for Sustainability -- 6.1 Introduction -- 6.2 Obsolescence Management -- 6.2.1 Obsolescence‐Resolution Techniques -- 6.2.1.1 Industry Standards -- 6.2.1.2 Asset Security -- 6.3 Long‐Term Storage -- 6.4 Long‐Term Reliability Issues -- 6.5 Counterfeit Prevention and Detection Strategies -- 6.6 Supplier Selection -- 6.6.1 Selecting a Printed Circuit Board Fabricator -- 6.6.2 Auditing a Printed Circuit Board Fabricator -- 6.6.2.1 Selecting a Contract Manufacturer -- 6.6.2.2 Auditing a Contract Manufacturer -- 6.6.2.3 Summary -- References -- Chapter 7 Root Cause Problem‐Solving, Failure Analysis, and Continual Improvement Techniques -- 7.1 Introduction -- 7.1.1 Continual Improvement -- 7.1.2 Problem‐Solving -- 7.1.3 Identifying Problems and Improvement Opportunities -- 7.1.4 Overview of Industry Standard Organizations -- 7.2 Root Cause Failure Analysis Methodology -- 7.2.1 Strategies for Selecting an Approach -- 7.2.2 The 5 Whys Approach -- 7.2.3 The Eight Disciplines (8D) -- 7.2.4 Shainin Red X: Diagnostic Journey -- 7.2.5 Six Sigma -- 7.2.6 Physics of Failure -- 7.3 Failure Reporting, Analysis, and Corrective Action System (FRACAS) -- 7.4 Failure Analysis -- 7.4.1 Failure Analysis Techniques -- 7.4.1.1 Visual Inspection -- 7.4.1.2 Electrical Characterization -- 7.4.1.3 Scanning Acoustic Microscopy -- 7.4.1.4 X‐Ray Microscopy -- 7.4.1.5 Thermal Imaging -- 7.4.1.6 SQUID Microscopy -- 7.4.1.7 Decapsulation -- 7.4.1.8 Cross‐Sectioning -- 7.4.1.9 Scanning Electron Microscope / Energy Dispersive X‐ray Spectroscopy (SEM/EDX) -- 7.4.1.10 Surface/Depth Profiling Techniques: Secondary Ion Mass Spectroscopy (SIMS), Auger -- 7.4.1.11 Focused Ion Beam (FIB) -- 7.4.1.12 Mechanical Testing: Wire Pull, Wire Shear, Solder Ball Shear, Die Shear -- 7.4.1.13 Fourier Transform Infra‐Red Spectroscopy FTIR -- 7.4.1.14 Ion Chromatography…”

Tabla de Contenidos: “…10.4.3 RDF Knowledge Graphs -- 10.4.4 Information Retrieval Using SPARQL -- 10.5 Knowledge Base for CDSS -- 10.5.1 Curation of Knowledge Base for CDSS -- 10.5.2 Proposed Model for Curation -- 10.5.3 Evaluation Methodology -- 10.6 Discussion for Further Research and Development -- 10.7 Conclusion -- References -- 11 Medical Data Supervised Learning Ontologies for Accurate Data Analysis -- 11.1 Introduction -- 11.2 Ontology of Biomedicine -- 11.2.1 Ontology Resource Open Sharing -- 11.3 Supervised Learning -- 11.4 AQ21 Rule in Machine Learning -- 11.5 Unified Medical Systems -- 11.5.1 Note of Relevance to Bioinformatic Experts -- 11.5.2 Terminological Incorporation Principles -- 11.5.3 Cross-References External -- 11.5.4 UMLS Data Access -- 11.6 Performance Analysis -- 11.7 Conclusion -- References -- 12 Rare Disease Diagnosis as Information Retrieval Task -- 12.1 Introduction -- 12.2 Definition -- 12.3 Characteristics of Rare Diseases (RDs) -- 12.4 Types of Rare Diseases -- 12.4.1 Genetic Causes -- 12.4.2 Non-Genetic Causes -- 12.4.3 Pathogenic Causes (Infectious Agents) -- 12.4.4 Toxic Agents -- 12.4.5 Other Causes -- 12.5 A Brief Classification -- 12.6 Rare Disease Databases and Online Resources -- 12.6.1 European Reference Network: ERN -- 12.6.2 Genetic and Rare Diseases Information Center: GARD -- 12.6.3 International Classification of Diseases, 10th Revision: ICD-10 -- 12.6.4 Orphanet-INSERM (Institut National de la Santé et de la Recherche Médicale) -- 12.6.5 Medical Dictionary for Regulatory Activities: MedDRA -- 12.6.6 Medical Subject Headings: MeSH -- 12.6.7 Online Mendelian Inheritance in Man: OMIM -- 12.6.8 Orphanet Rare Disease Ontology: ORDO -- 12.6.9 UMLS: Unified Medical Language System -- 12.6.10 SNOMED-CT: Systematized Nomenclature of Human and Veterinary Medicine-Clinical Terms…”

Tabla de Contenidos: “…-- 7.5.10 Regulation and Standardisation -- 7.6 Multi-Angle Stakeholders IoT Ecosystem -- 7.6.1 Technology and People -- 7.6.2 Ethics and Accountability -- 7.6.3 Regulation and Standardisation -- 7.6.4 Contractual Relationships -- 7.6.5 Risk Allocation -- 7.7 Conclusion and Recommendations -- Chapter 8 - IoT Standards - State-of-the-Art Analysis -- 8.1 Introduction -- 8.2 Analysing the IoT Standards Landscape -- 8.2.1 AIOTI WG03 -- 8.2.2 ETSI STF 505 -- 8.2.3 UNIFY-IoT CSA -- 8.3 A Framework to Analyse IoT Standardization -- 8.3.1 Horizontal and Vertical Domains -- 8.3.1.1 Vertical Domains -- 8.3.1.2 IoT SDOs and Alliance Landscape -- 8.3.2 Knowledge Areas -- 8.3.3 High Level Architecture (HLA) -- 8.3.3.1 The AIOTI HLA -- 8.3.3.2 Mapping of the HLA:The Example of oneM2M -- 8.3.3.3 The STF 505 Enterprise IoT Framework -- 8.3.4 Status of Standardization in IoT -- 8.3.5 Overview of IoT Standards Landscape -- 8.3.5.1 Generic Cross Domain Standards -- 8.3.5.2 Domain Specific Standards -- 8.3.6 Identifying IoT Standards Gaps…”

Tabla de Contenidos: “…Result and Analysis -- 4.6.1. 10-fold Cross Validation Result -- 4.6.2. Magnification Factor Wise Analysis on Validation Accuracy -- 4.6.2.1. …”

Tabla de Contenidos: “…3.2.4.2 McCabe's Design Predicate Approach to Integration -- 3.2.4.3 Hex Converter Example -- 3.2.4.4 McCabe Design Predicate Exercise -- 3.2.4.5 McCabe Design Predicate Exercise Debrief -- 3.3 Dynamic Analysis -- 3.3.1 Memory Leak Detection -- 3.3.2 Wild Pointer Detection -- 3.3.3 Dynamic Analysis Exercise -- 3.3.4 Dynamic Analysis Exercise Debrief -- 3.4 Sample Exam Questions -- 4 Quality Characteristics for Technical Testing -- 4.1 Introduction -- 4.2 Security Testing -- 4.2.1 Security Issues -- 4.2.1.1 Piracy -- 4.2.1.2 Buffer Overflow -- 4.2.1.3 Denial of Service -- 4.2.1.4 Data Transfer Interception -- 4.2.1.5 Breaking Encryption -- 4.2.1.6 Logic Bombs/Viruses/Worms -- 4.2.1.7 Cross-Site Scripting -- 4.2.1.8 Timely Information -- 4.2.1.9 Internal Security Metrics -- 4.2.1.10 External Security Metrics -- 4.2.1.11 Exercise: Security -- 4.2.1.12 Exercise: Security Debrief -- 4.3 Reliability Testing -- 4.3.1 Maturity -- 4.3.1.1 Internal Maturity Metrics -- 4.3.1.2 External Maturity Metrics -- 4.3.2 Fault Tolerance -- 4.3.2.1 Internal Fault Tolerance Metrics -- 4.3.2.2 External Fault Tolerance Metrics -- 4.3.3 Recoverability -- 4.3.3.1 Internal Recoverability Metrics -- 4.3.3.2 External Recoverability Metrics -- 4.3.4 Compliance -- 4.3.4.1 Internal Compliance Metrics -- 4.3.4.2 External Compliance Metrics -- 4.3.5 An Example of Good Reliability Testing -- 4.3.6 Exercise: Reliability Testing -- 4.3.7 Exercise: Reliability Testing Debrief -- 4.4 Efficiency Testing -- 4.4.1 Multiple Flavors of Efficiency Testing -- 4.4.2 Modeling the System -- 4.4.2.1 Identify the Test Environment -- 4.4.2.2 Identify the Performance Acceptance Criteria -- 4.4.2.3 Plan and Design Tests -- 4.4.2.4 Configure the Test Environment -- 4.4.2.5 Implement the Test Design -- 4.4.2.6 Execute the Test -- 4.4.2.7 Analyze the Results, Tune and Retest -- 4.4.3 Time Behavior…”