Tabla de Contenidos: “…3.1.6 Delegation, GSS-API, and login -- 3.1.7 Directory -- 3.1.8 Extended Registry Attributes -- 3.1.9 Event management -- 3.1.10 GSS-API -- 3.1.11 Host management -- 3.1.12 Integrated login -- 3.1.13 Login -- 3.1.14 Messaging -- 3.1.15 PAC -- 3.1.16 Password strength -- 3.1.17 Protection -- 3.1.18 Registry -- 3.1.19 RPC services -- 3.1.20 Serviceability -- 3.1.21 Threads -- 3.1.22 Time -- 3.1.23 UUID -- 3.2 Replacement strategy for Java applications -- 3.2.1 Determining a new architecture -- 3.2.2 Revising the application environment for the new architecture -- 3.2.3 Rewriting the DCE applications to the new architecture -- 3.3 Replacement strategies for mixed applications -- 3.3.1 CORBA interoperability -- 3.3.2 Java Native Interface -- 3.3.3 JCA and JNI -- Chapter 4. …”

Tabla de Contenidos: “…-- 6.7 Identifying bad data -- 6.8 Kinds of problems -- 6.9 Responses to bad data -- Techniques for fixing bad data -- Cleaning our data set -- 6.11.1 Rewriting bad rows -- 6.11.2 Filtering rows of data -- 6.11.3 Filtering columns of data -- Preparing our data for effective use -- 6.12.1 Aggregating rows of data -- 6.12.2 Combining data from different files using globby -- 6.12.3 Splitting data into separate files -- Building a data processing pipeline with Data-Forge -- Summary -- Chapter 7: Dealing with huge data files -- 7.1 Expanding our toolkit -- 7.2 Fixing temperature data -- 7.3 Getting the code and data -- 7.4 When conventional data processing breaks down -- 7.5 The limits of Node.js -- 7.5.1 Incremental data processing -- 7.5.2 Incremental core data representation -- 7.5.3 Node.js file streams basics primer -- 7.5.4 Transforming huge CSV files -- 7.5.5 Transforming huge JSON files -- 7.5.6 Mix and match -- Summary -- Chapter 8: Working with a mountain of data -- 8.1 Expanding our toolkit -- 8.2 Dealing with a mountain of data -- 8.3 Getting the code and data -- 8.4 Techniques for working with big data -- 8.4.1 Start small -- 8.4.2 Go back to small -- 8.4.3 Use a more efficient representation -- 8.4.4 Prepare your data offline -- 8.5 More Node.js limitations -- 8.6 Divide and conquer -- 8.7 Working with large databases -- 8.7.1 Database setup -- 8.7.2 Opening a connection to the database -- 8.7.3 Moving large files to your database -- 8.7.4 Incremental processing with a database cursor -- 8.7.5 Incremental processing with data windows -- 8.7.6 Creating an index…”

Tabla de Contenidos: “…8.4.3.1 Example of embedded SoC for multimodal localization -- 8.4.3.2 Smart phones -- 8.4.3.3 Smart glasses -- 8.4.3.4 Autonomous mobile robots -- 8.4.3.5 Unmanned aerial vehicles -- 8.4.3.6 Autonomous driving vehicles -- 8.4.4 Discussion -- 8.5 Application Domains -- 8.5.1 Scene Mapping -- 8.5.1.1 Aircraft inspection -- 8.5.1.2 SenseFly eBee classic -- 8.5.2 Pedestrian Localization -- 8.5.2.1 Indoor localization in large-scale buildings -- 8.5.2.2 Precise localization of mobile devices in unknown environments -- 8.5.3 Automotive Navigation -- 8.5.3.1 Autonomous driving -- 8.5.3.2 Smart factory -- 8.5.4 Mixed Reality -- 8.5.4.1 Virtual cane system for visually impaired individuals -- 8.5.4.2 Engineering, construction and maintenance -- 8.6 Conclusion -- References -- 9 Self-Supervised Learning from Web Data for Multimodal Retrieval -- 9.1 Introduction -- 9.1.1 Annotating Data: A Bottleneck for Training Deep Neural Networks -- 9.1.2 Alternatives to Annotated Data -- 9.1.3 Exploiting Multimodal Web Data -- 9.2 Related Work -- 9.2.1 Contributions -- 9.3 Multimodal Text-Image Embedding -- 9.4 Text Embeddings -- 9.5 Benchmarks -- 9.5.1 InstaCities1M -- 9.5.2 WebVision -- 9.5.3 MIRFlickr -- 9.6 Retrieval on InstaCities1M and WebVision Datasets -- 9.6.1 Experiment Setup -- 9.6.2 Results and Conclusions -- 9.6.3 Error Analysis -- 9.6.3.1 Visual features confusion -- 9.6.3.2 Errors from the dataset statistics -- 9.6.3.3 Words with different meanings or uses -- 9.7 Retrieval in the MIRFlickr Dataset -- 9.7.1 Experiment Setup -- 9.7.2 Results and Conclusions -- 9.8 Comparing the Image and Text Embeddings -- 9.8.1 Experiment Setup -- 9.8.2 Results and Conclusions -- 9.9 Visualizing CNN Activation Maps -- 9.10 Visualizing the Learned Semantic Space with t-SNE -- 9.10.1 Dimensionality Reduction with t-SNE -- 9.10.2 Visualizing Both Image and Text Embeddings…”

Tabla de Contenidos: “…Intro -- Bayesian Statistics -- Contents -- Preface -- Preface to the First Edition -- 1 Preliminaries -- 1.1 Probability and Bayes' Theorem -- 1.1.1 Notation -- 1.1.2 Axioms for probability -- 1.1.3 'Unconditional' probability -- 1.1.4 Odds -- 1.1.5 Independence -- 1.1.6 Some simple consequences of the axioms -- Bayes' Theorem -- 1.2 Examples on Bayes' Theorem -- 1.2.1 The Biology of Twins -- 1.2.2 A political example -- 1.2.3 A warning -- 1.3 Random variables -- 1.3.1 Discrete random variables -- 1.3.2 The binomial distribution -- 1.3.3 Continuous random variables -- 1.3.4 The normal distribution -- 1.3.5 Mixed random variables -- 1.4 Several random variables -- 1.4.1 Two discrete random variables -- 1.4.2 Two continuous random variables -- 1.4.3 Bayes' Theorem for random variables -- 1.4.4 Example -- 1.4.5 One discrete variable and one continuous variable -- 1.4.6 Independent random variables -- 1.5 Means and variances -- 1.5.1 Expectations -- 1.5.2 The expectation of a sum and of a product -- 1.5.3 Variance, precision and standard deviation -- 1.5.4 Examples -- 1.5.5 Variance of a sum -- covariance and correlation -- 1.5.6 Approximations to the mean and variance of a function of a random variable -- 1.5.7 Conditional expectations and variances -- 1.5.8 Medians and modes -- 1.6 Exercises on Chapter 1 -- 2 Bayesian inference for the normal distribution -- 2.1 Nature of Bayesian inference -- 2.1.1 Preliminary remarks -- 2.1.2 Post is prior times likelihood -- 2.1.3 Likelihood can be multiplied by any constant -- 2.1.4 Sequential use of Bayes' Theorem -- 2.1.5 The predictive distribution -- 2.1.6 A warning -- 2.2 Normal prior and likelihood -- 2.2.1 Posterior from a normal prior and likelihood -- 2.2.2 Example -- 2.2.3 Predictive distribution -- 2.2.4 The nature of the assumptions made -- 2.3 Several normal observations with a normal prior…”

Tabla de Contenidos: “…Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgment -- 1 Deep Dive Into Blockchain Technology: Characteristics, Security and Privacy Issues, Challenges, and Future Research Directions -- 1.1 Introduction -- 1.2 Blockchain Preliminaries -- 1.2.1 Functioning of Blockchain -- 1.2.2 Design of Blockchain -- 1.2.3 Blockchain Elements -- 1.3 Key Technologies of Blockchain -- 1.3.1 Distributed Ledger -- 1.3.2 Cryptography -- 1.3.3 Consensus -- 1.3.4 Smart Contracts -- 1.3.5 Benchmarks -- 1.4 Consensus Algorithms of Blockchain -- 1.4.1 Proof of Work (PoW) -- 1.4.2 Proof of Stake (PoS) -- 1.4.3 BFT-Based Consensus Algorithms -- 1.4.4 Practical Byzantine Fault Tolerance (PBFT) -- 1.4.5 Sleepy Consensus -- 1.4.6 Proof of Elapsed Time (PoET) -- 1.4.7 Proof of Authority (PoA) -- 1.4.8 Proof of Reputation (PoR) -- 1.4.9 Deputized Proof of Stake (DPoS) -- 1.4.10 SCP Design -- 1.5 Internet of Things and Blockchain -- 1.5.1 Internet of Things -- 1.5.2 IoT Blockchain -- 1.5.3 Up-to-Date Tendency in IoT Blockchain Progress -- 1.6 Applications of Blockchain in Smart City -- 1.6.1 Digital Identity -- 1.6.2 Security of Private Information -- 1.6.3 Data Storing, Energy Ingesting, Hybrid Development -- 1.6.4 Citizens Plus Government Frame -- 1.6.5 Vehicle-Oriented Blockchain Appliances in Smart Cities -- 1.6.6 Financial Applications -- 1.7 Security and Privacy Properties of Blockchain -- 1.7.1 Security and Privacy Necessities of Online Business Transaction -- 1.7.2 Secrecy of Connections and Data Privacy -- 1.8 Privacy and Security Practices Employed in Blockchain -- 1.8.1 Mixing -- 1.8.2 Anonymous Signatures -- 1.8.3 Homomorphic Encryption (HE) -- 1.8.4 Attribute-Based Encryption (ABE) -- 1.8.5 Secure Multi-Party Computation (MPC) -- 1.8.6 Non-Interactive Zero-Knowledge (NIZK)…”

Tabla de Contenidos: “…Einleitung zur Betriebsformenwahl älterer Konsumentinnen -- Ausgangsüberlegungen zu Betriebsformen und zu älteren Konsumentinnen -- Forschungslücke: Betriebsformenwahl älterer Konsumentinnen -- Forschungsfragen zur Betriebsformenwahl älterer -- Konsumentinnen 5 -- Forschungsfelder: Betriebsformen, ältere Konsumentinnen und -- Betriebsformenwahl im Aufriss -- Forschungsfeld 1: Betriebsformen im Einzelhandel -- Forschungsfeld 2: Ältere Konsumentinnen -- Forschungsfeld 3: Betriebsformenwahl -- Wissenschaftstheoretische Einordnung der Betriebsformenwahl -- Einordnung in die Konsumentenforschung -- Orientierung am Positivismus - Kritischer Rationalismus -- Gang der Untersuchung -- Theoretisch konzeptioneller Rahmen: Entwicklung eines S-0-RModells der Betriebsformenwahl -- S-R-Paradigma -- Statische Modelle -- Dynamische Modelle -- S-0-R-Paradigma -- Neobehavioristische Forschungsansätze -- Kognitive Forschungsansätze -- S-0-R-Modelle der Einkaufsstättenwahl -- S-0-R-Modell der Betriebsformenwahl -- Betriebsformen im Lebensmitteleinzelhandel - Definition, -- Entwicklung, Wettbewerb -- Definition: Lebensmitteleinzelhandel -- Wirtschaftliche Bedeutung des Lebensmitteleinzelhandels -- Bedeutung des Einzelhandels in der europäischen und -- österreichischen Wirtschaft -- 2 Entwicklung und Status quo im Lebensmitteleinzelhandel in -- Österreich und in Wien -- Betriebsformen im Lebensmitteleinzelhandel -- Begriffsklärung: Betriebsform -- Merkmale zur Klassifizierung von Betriebsformen -- Betriebsformen beim Einkaufvon Lebensmitteln -- Zuordnung von Einkaufsstätten zu Betriebsformen -- Marktanteile der Betriebsformen im Lebensmitteleinzelhandel -- Umsatzanteil der Betriebsformen mit Konsumentinnen 60+ -- Entwicklung der Betriebsformen -- "Wheel ofRetailing" -- Gesetz zur "Dynamik der Betriebsformen" -- "Wheel ofRetailing" im Lebensmitteleinzelhandel aus Sicht der -- Praxis -- Kritik am "Wheel ofRetailing" bzw an der "Dynamik der -- Betriebsformen" -- Lebenszyklustheorie der Betriebsformen -- Weitere Erklärungsansätze zur Betriebsformenentwickung -- Betriebsformenwettbewerb im Lebensmitteleinzelhandel -- Inter-Betriebsformenwettbewerb im internationalen -- Lebensmitteleinzelhandel -- Marktanteilsverschiebungen der Betriebsformen im -- österreichischen Lebensmitteleinzelhandel -- Zielgruppe: Ältere Konsumentinnen -- Demografischer Wandel -- Altersdimensionen -- Gerontologie - Wissenschaft vom Alter -- Chronologisches Alter -- Bedeutung der Generation 60+ -- Segmentierung in chronologische Alterskohorten -- "Cognitive Age" -- Segmentierung in "Gerontographics" -- Segmentierung älterer Konsumentinnen in der Marktforschungspraxis -- Gesundheit -- Biologische Altersdimension -- Subjektive Einschätzung des Gesundheitszustandes -- Einschränkungen im Alltag -- Schwierigkeiten beim Lebensmitteleinkauf -- Mobilität -- Verkehrsmobilität -- Distanz zum Lebensmittelgeschäft -- Verkehrsmittelwahl beim Lebensmitteleinkauf -- finanzielle Situation -- Erwerbsquote -- Einkommen -- Geldvermögen 102 -- Konsumausgaben -- Haushalts- und Äquivalenzausgaben -- Ausgabenkategorien -- Ausgaben für Lebensmittel -- Einkaufsverhalten -- Einkaufsstättenwahl beim Lebensmitteleinkauf -- Erfahrungen beim Lebensmitteleinkauf -- Einkaufshäufigkeit beim Lebensmitteleinkauf -- Stand der Forschung zur Betriebsformenwahl -- Überblick aktueller Forschungsergebnisse zur Betriebsformenwahl -- Kernerkenntnisse bestehender Studien zur Betriebsformenwahl -- Kritikpunkte an bestehenden Studien zur Betriebsformenwahl -- Betriebsformenpräferenz älterer Konsumentinnen - Erkenntnisse aus der Praxis -- Kritik an bestehenden Studien und Forschungslücken -- Qualitative Vorstudie zum Einkaufsverhalten älterer Konsumentinnen -- "Mixed Methods" als Ausgangspunkt für die qualitative Vorstudie -- Fokusgruppeninterviews als Methode der qualitativen Vorstudie -- Begriffsklärung: Fokusgruppeninterviews -- Ziele des Fokusgruppeninterviews -- Vorbereitung der Fokusgruppeninterviews -- Durchführung der Fokusgruppeninterviews -- Auswertung der Fokusgruppeninterviews -- Überblick der Ergebnisse der Fokusgruppeninterviews -- Aspekte zum Einkauf von Lebensmittel -- Lebenssituation und Einkauf von Lebensmittel -- Einstellung zum Einkauf von Lebensmittel -- Einkaufsplanung Koch- und Esskultur -- Kategoriensystem zur Betriebsformenwahl älterer Konsumentinnen -- Sortiment -- Personal -- Preis -- Atmosphäre -- Warenpräsentation -- Infrastruktur -- Orientierung -- Erreichbarkeit -- Verbesserungen aus Sicht der älteren Konsumentinnen -- Unterschiede in der Wahrnehmung von Betriebsformen? …”

Tabla de Contenidos: “…-- 2.3 Generative KI: ein Werkzeug zur Erweiterung kreativer Horizonte -- 2.4 Vielfalt in der Produktion von Inhalten: Ein Überblick -- 2.4.1 Text -- 2.4.2 Bild -- 2.4.3 Audio -- 2.4.4 Video -- 2.4.5 Mixed Media und multimediale Inhalte -- Kapitel 3: Grundlagen zu ChatGPT und Prompt-Design -- 3.1 Verständnis für GPT und ChatGPT -- 3.2 ChatGPT einrichten -- 3.3 Die Benutzeroberfläche von ChatGPT -- 3.4 Dokumentenbasiertes Arbeiten‌ mit ChatGPT -- 3.5 ChatGPT unterwegs nutzen -- 3.6 Textdiktat‌: Beschleunigen Sie Ihren Schreibprozess -- 3.7 Grundlagen des Prompt-Design‌s -- 3.7.1 Warum ist Prompting wichtig? …”

Tabla de Contenidos: “…-- 3.6.6 Branded Hashtags -- 3.7 Definition einer konkreten Zielsetzung -- 3.7.1 Potenzial von Instagram -- 3.7.2 Ziele herleiten‌ -- 3.7.3 Definition wichtiger Kennzahlen und KPIs -- 3.7.4 Ziele setzen‌ und SMART formulieren -- 3.7.5 Tools und Methoden zur Erfolgsmessung‌ -- 3.8 Ableitung konkreter Themen, Stories, Inhalte und Formate -- 3.8.1 Ableitung von Themen‌ -- 3.8.2 Operationalisierung von Themen und Stories -- 3.9 Distribution Ihrer Inhalte und Community Management -- 3.9.1 Posting-Frequenz‌ -- 3.9.2 Community Management‌ -- 3.9.3 Format-Mix‌ -- 3.10 Evaluation‌ -- 3.10.1 Instagram Analytics‌…”

Tabla de Contenidos: “…5.4.5 Surface Morphology Effects on 3C‐SiC Thermal Oxidation -- 5.4.6 Thermal Oxidation Temperature Effects for 3C‐SiC -- 5.4.7 Ohmic Contact Metalization -- 5.4.8 N‐type 3C‐SiC Ohmic Contacts -- 5.4.9 Ion Implantation -- 5.5 Summary -- Acknowledgements -- References -- Chapter 6 Intrinsic and Extrinsic Electrically Active Point Defects in SiC -- 6.1 Characterization of Electrically Active Defects -- 6.1.1 Deep Level Transient Spectroscopy -- 6.1.1.1 Profile Measurements -- 6.1.1.2 Poole-Frenkel Effect -- 6.1.1.3 Laplace DLTS -- 6.1.2 Low‐energy Muon Spin Rotation Spectroscopy -- 6.1.2.1 μSR and Semiconductors -- 6.1.3 Density Functional Theory -- 6.2 Intrinsic Electrically Active Defects in SiC -- 6.2.1 The Carbon Vacancy, VC -- 6.2.2 The Silicon Vacancy, VSi -- 6.3 Transition Metal and Other Impurity Levels in SiC -- 6.4 Summary -- References -- Chapter 7 Dislocations in 4H‐SiC Substrates and Epilayers -- 7.1 Introduction -- 7.2 Dislocations in Bulk 4H‐SiC -- 7.2.1 Micropipes (MPs) and Closed‐core Threading Screw Dislocations (TSDs) -- 7.2.2 Basal Plane Dislocations (BPDs) -- 7.2.3 Threading Edge Dislocations (TEDs) -- 7.2.4 Interaction between BPDs and TEDs -- 7.2.4.1 Hopping Frank-Read Source of BPDs -- 7.2.5 Threading Mixed Dislocations (TMDs) in 4H‐SiC -- 7.2.5.1 Reaction Between Threading Dislocations with Burgers Vectors of −c + a and c + a Wherein the Opposite c‐Components Annihilate Leaving Behind the Two a‐Components -- 7.2.5.2 Reaction Between Threading Dislocations with Burgers Vectors of −c and c + a Leaving Behind the a‐Component -- 7.2.5.3 Reaction Between Opposite‐sign Threading Screw Dislocations with Burgers Vectors c and −c -- 7.2.5.4 Nucleation of Opposite Pair of c + a Dislocations and Their Deflection -- 7.2.5.5 Deflection of Threading c + a, c and Creation of Stacking Faults…”

Tabla de Contenidos: “…6.3 Strong assumptions made by SOTA attacks -- 6.3.1 The state-of-the-art attacks -- 6.3.2 Strong assumptions -- Assumption 1: Knowledge of BatchNorm statistics -- Assumption 2: Knowing or being able to infer private labels -- 6.3.3 Re-evaluation under relaxed assumptions -- Relaxation 1: Not knowing BatchNorm statistics -- Relaxation 2: Not knowing private labels -- 6.4 Defenses against the gradient inversion attack -- 6.4.1 Encrypt gradients -- 6.4.2 Perturbing gradients -- 6.4.3 Weak encryption of inputs (encoding inputs) -- 6.5 Evaluation -- 6.5.1 Experimental setup -- 6.5.2 Performance of defense methods -- 6.5.3 Performance of combined defenses -- 6.5.4 Time estimate for end-to-end recovery of a single image -- 6.6 Conclusion -- 6.7 Future directions -- 6.7.1 Gradient inversion attacks for text data -- 6.7.2 Gradient inversion attacks in variants of federated learning -- 6.7.3 Defenses with provable guarantee -- References -- 2 Emerging topics -- 7 Personalized federated learning: theory and open problems -- 7.1 Introduction -- 7.2 Problem formulation of pFL -- 7.3 Review of personalized FL approaches -- 7.3.1 Mixing models -- 7.3.2 Model-based approaches: meta-learning -- 7.3.3 Multi-task learning -- 7.3.4 Weight sharing -- 7.3.5 Clients clustering -- 7.4 Personalized FL algorithms -- 7.4.1 pFedMe -- 7.4.2 FedU -- 7.5 Experiments -- 7.5.1 Experimental settings -- 7.5.2 Comparison -- 7.6 Open problems -- 7.6.1 Transfer learning -- 7.6.2 Knowledge distillation -- 7.7 Conclusion -- References -- 8 Fairness in federated learning -- 8.1 Introduction -- 8.2 Notions of fairness -- 8.2.1 Equitable fairness -- 8.2.2 Collaborative fairness -- 8.2.3 Algorithmic fairness -- 8.3 Algorithms to achieve fairness in FL -- 8.3.1 Algorithms to achieve equitable fairness -- 8.3.2 Algorithms to achieve collaborative fairness…”

Tabla de Contenidos: “…5.9 Modulus Function -- Exercise -- Chapter 6: Quadratic Functions and Theory of Quadratic Equations -- 6.1 Quadratic Functions -- 6.1.1 Quadratic Modeling -- 6.2 Evaluating the Solutions of the Quadratic Equation ax2 + bx + c = 0 -- 6.3 Nature of the Roots of Quadratic Equation -- 6.4 Sum and Product of the Roots -- 6.5 Relations Between the Roots -- 6.6 Condition for the Existence of a Common Root -- 6.7 To form the Equation Whose Roots are r1 and r2 -- 6.8 Graph of the Function f(x) = ax2 + bx + c -- a ≠ 0 -- 6.9 Sign of the Expression f(x) = ax2 + bx + c -- 6.10 Maximum/Minimum Values of a Quadratic Function -- 6.11 Solution of Quadratic Inequalities -- 6.12 Additional Problems -- Exercise -- Chapter 7: Permutation and Combination -- 7.1 Fundamental Counting Principle -- 7.2 Factorial -- 7.3 Permutation -- 7.3.1 Permutation of n Different Things -- 7.3.2 Permutation of n Things not all Different (Taken all Together) -- 7.4 Restricted Permutation -- 7.5 Circular Permutations -- 7.6 Combination -- 7.6.1 To Find the Number of Ways of Selecting r Things Out of n Things -- 7.6.2 Complementary Combination -- 7.6.3 Different Formulas on Combination -- 7.7 Restricted Combinations -- 7.8 Division into Groups -- 7.9 Mixed Problems on Permutation and Combination -- Exercise -- Chapter 8: Mathematical Induction and Binomial Theorem -- 8.1 Principle of Mathematical Induction -- 8.2 Binomial Theorem for a Positive Integral Index -- 8.3 Properties of the Binomial Coefficients -- 8.4 General Term in Binomial Expansion -- 8.5 Middle Term in the Binomial Expansion -- 8.6 Greatest Term in the Binomial Expansion -- 8.7 Binomial Theorem for Any Index -- 8.7.1 Binomial Theorem for a Rational Index -- Exercise -- Chapter 9: Sequence and Series-Its Application to Business -- 9.1 General Idea and Different Types of Sequences -- 9.2 Different Types of Sequence…”

Tabla de Contenidos: “…6.1 Adhesion -- 6.2 Adhesives -- 6.3 Adhesive and Cohesive Bond Strength -- 6.3.1 Adhesive Bond Strength -- 6.3.1.1 Surface Tension -- 6.3.1.2 Solubility Parameter -- 6.3.1.3 Viscosity -- 6.3.1.4 Estimation of Adhesive Bond Strength -- 6.3.2 Cohesive Bond Strength -- 6.4 Types of Adhesives -- 6.4.1 Reactive Adhesives -- 6.4.2 Hot Melt Adhesives -- 6.4.3 Solvent-Borne Adhesives -- 6.4.4 Water-Borne Adhesives -- 6.4.5 Pressure Sensitive and Remoistenable Adhesives -- 6.4.6 Cold-Seal Adhesives -- 6.4.7 UV- and E-Beam Curing -- 6.5 Application of Adhesives -- 6.6 Adhesive Terminology -- 6.7 Adhesive Additives -- 6.8 Heat Sealing -- 6.8.1 Sealing Methods -- 6.8.1.1 Bar or Thermal Sealing -- 6.8.1.2 Impulse Sealing -- 6.8.1.3 Band Sealing -- 6.8.1.4 Hot Wire or Hot Knife Sealing -- 6.8.1.5 Ultrasonic Sealing -- 6.8.1.6 Friction Sealing -- 6.8.1.7 Hot Gas Sealing and Contact Sealing -- 6.8.1.8 Radiant Sealing -- 6.8.1.9 Dielectric Sealing -- 6.8.1.10 Magnetic Sealing -- 6.8.1.11 Induction Sealing -- 6.8.1.12 Solvent Sealing -- 6.8.2 Heat Conduction in Multilayer Flexible Materials -- 6.8.3 Hot Tack -- 6.8.4 Heat-Seal Jaws -- 6.8.5 Heat-Seal Failure Modes -- 6.8.6 Evaluation of Seals in Flexible Packaging Materials -- 6.9 References -- Study Questions -- 7 Extrusion, Film and Sheet -- 7.1 Extrusion and Extruders -- 7.1.1 Hopper and Feed Port -- 7.1.2 Feed Section -- 7.1.3 Compression Section -- 7.1.4 Metering Section -- 7.1.5 Mixing Devices -- 7.1.6 Extruder, Screw Design and Size -- 7.1.7 Dies -- 7.1.8 Melt Filters -- 7.1.9 Drive Mechanisms and Screw Speeds -- 7.1.10 Special Designs -- 7.1.11 Extrusion Temperatures -- 7.1.12 Extrusion Pressures -- 7.1.13 Specific Mechanical Energy -- 7.2 Cast Film and Sheet -- 7.2.1 Cold Cast or Chill Roll Cast Process -- 7.2.2 Roll Stack and Calendering Processes -- 7.2.3 Quench Tank or Water Bath Process…”

“…"Prescott's Microbiology, by Willey, is appropriate for microbiology majors and mixed majors courses. The text focuses on readability, artwork, and the integration of several key themes (including evolution, ecology and diversity)"--…”

“…Cambridge English Worldwide offers: * a school-based approach with links to other subject areas throughout the course, and to other classes in different countries * content and concepts related to learners' ages and levels of ability * an organisation based on the realities of teaching English at school: mixed abilities, mixed motivation, time available, and class size * material developed and successfully piloted in collaboration with teachers and classes in many parts of the world. …”

“…Also included are multivariate analysis of variance, mixed models, generalized models, and models based on penalized regression techniques…”

“…The topic of this work are two further developments of the Factorization method for electrical impedance tomography.We present a modification of this method that is capable of detecting mixed inclusions, i.e. both inclusions with a higher as well as inclusions with a lower conductivity than the background medium. …”

“…This report concludes that, although evidence is mixed and effects difficult to measure, consolidating the City of Pittsburgh and Allegheny County could enhance economic development by unifying leadership, improving policy direction and coordination, and…”

“…While France, Germany, Poland and the United Kingdom opted for 'technology-specific' renewables support mixes, Norway and Sweden embarked on 'technology-neutral' support mixes. …”

“…Chapters on qualitative and mixed methods identify various ways to strengthen the trustworthiness of qualitative findings via rigorous data collection and analysis techniques. …”