Tabla de Contenidos: “…Part 3: Attacks on Deployed AI -- Chapter 7: Evasion Attacks against Deployed AI -- Fundamentals of evasion attacks -- Importance of understanding evasion attacks -- Reconnaissance techniques for evasion attacks -- Perturbations and image evasion attack techniques -- Evasion attack scenarios -- One-step perturbation with FGSM -- Basic Iterative Method (BIM) -- Jacobian-based Saliency Map Attack (JSMA) -- Carlini and Wagner (C&amp -- W) attack -- Projected Gradient Descent (PGD) -- Adversarial patches - bridging digital and physical evasion techniques -- NLP evasion attacks with BERT using TextAttack -- Attack scenario - sentiment analysis -- Attack example -- Attack scenario - natural language inference -- Attack example -- Universal Adversarial Perturbations (UAPs) -- Attack scenario -- Attack example -- Black-box attacks with transferability -- Attack scenario -- Attack example -- Defending against evasion attacks -- Mitigation strategies overview -- Adversarial training -- Input preprocessing -- Model hardening techniques -- Model ensembles -- Certified defenses -- Summary -- Chapter 8: Privacy Attacks - Stealing Models -- Understanding privacy attacks -- Stealing models with model extraction attacks -- Functionally equivalent extraction -- Learning-based model extraction attacks -- Generative student-teacher extraction (distillation) attacks -- Attack example against our CIFAR-10 CNN -- Defenses and mitigations -- Prevention measures -- Detection measures -- Model ownership identification and recovery -- Summary -- Chapter 9: Privacy Attacks - Stealing Data -- Understanding model inversion attacks -- Types of model inversion attacks -- Exploitation of model confidence scores -- GAN-assisted model inversion -- Example model inversion attack -- Understanding inference attacks -- Attribute inference attacks -- Meta-classifiers…”

Tabla de Contenidos: “…5.3.3 Dynamic Rheological Behavior -- 5.3.3.1 Amplitude Sweep Properties -- 5.3.3.2 Frequency Sweep Properties -- 5.3.4 Temperature Effect -- 5.3.4.1 Temperature Effect in an Isothermal Condition -- 5.3.4.2 Temperature Effect in a Non‐isothermal Condition -- 5.3.4.3 Kinetics of Biopolymer Interaction -- 5.3.4.4 Time-Temperature Superposition Principle -- 5.3.5 Effect of Salts -- 5.3.6 Effect of pH -- 5.4 Thermodynamic -- 5.5 Miscibility -- 5.5.1 Interaction Coefficient -- 5.5.2 Cole‐Cole Plot -- 5.5.3 Han Curve -- 5.6 Conclusions and Future Trends -- References -- Chapter 6 Sage (Salvia macrosiphon) Seed Gum -- 6.1 Introduction -- 6.2 Salvia macrosiphon Seed Mucilage -- 6.2.1 Mucilage Extraction Optimization -- 6.2.2 Physicochemical Properties -- 6.3 Rheological Properties -- 6.3.1 Dilute Solution Properties -- 6.3.1.1 Influence of Salts -- 6.3.1.2 Influence of Temperature -- 6.3.2 Viscoelastic Properties -- 6.3.2.1 Oscillatory Properties -- 6.3.2.2 Creep Properties -- 6.3.3 Steady Shear Properties -- 6.3.3.1 Flow Behavior -- 6.3.4 Thixotropy -- 6.3.4.1 Hysteresis Loop -- 6.3.4.2 Single Shear Decay -- 6.3.4.3 In‐Shear Structural Recovery -- 6.3.4.4 Extent of Time Dependence in Small Deformation -- 6.3.5 Yield Stress -- 6.3.6 Steady and Oscillatory Shear Rheological Properties Comparison -- 6.3.6.1 Cox-Merz Rule -- 6.3.6.2 Shear‐Thinning Phenomena -- 6.4 Textural Properties -- 6.5 Applications -- 6.5.1 D‐Limonene‐in‐Water Emulsions -- 6.5.2 Edible Film -- 6.5.3 Yogurt -- 6.5.4 Sauces -- 6.6 Summary -- References -- Chapter 7 Balangu (Lallemantia royleana) Seed Gum -- 7.1 Introduction -- 7.2 Extraction and Purification -- 7.3 Physicochemical and Structural Properties -- 7.4 Rheological Properties -- 7.4.1 Dilute Solution Properties -- 7.4.2 Steady Shear Properties -- 7.4.3 Dynamic Shear Properties -- 7.4.4 Textural Properties…”

Tabla de Contenidos: “…Guidelines for reviewing manuscripts submitted to Animal Bioscience -- Inclusion of bioclimatic variables in genetic evaluations of dairy cattle -- Regulation of chicken vanin1 gene expression by peroxisome proliferators activated receptor α and miRNA-181a-5p -- Genetic parameters for worm resistance in Santa Inês sheep using the Bayesian animal model -- Ram semen preserved at 0°C with soybean lecithin Tris-based extender substituted for egg yolk -- Effect of green tea extract in extender of Simmental bull semen on pregnancy rate of recipients -- Use of condensed molasses fermentation solubles as an alternative source of concentrates in dairy cows -- Metabolomics comparison of rumen fluid and milk in dairy cattle using proton nuclear magnetic resonance spectroscopy -- Evaluating fermentation quality, in vitro digestibility and aerobic stability of a total mixed ration ensiled with different additives on Tibet plateau -- Effects of a pineapple (Ananas comosus L.) cannery by-product on growth performance and carcass characteristics in finishing Hanwoo steers -- Effect of commercially purified deoxynivalenol and zearalenone mycotoxins on microbial diversity of pig cecum contents -- Effects of the Agaricus bisporus stem residue on performance, nutrients digestibility and antioxidant activity of laying hens and its effects on egg storage -- Effects of mushroom waster medium and stalk residues on the growth performance and oxidative status in broilers -- Vitamin E improves antioxidant status but not lipid metabolism in laying hens fed a aged corn-containing diet -- Effect of dietary supplementation of a phytogenic blend containing Schisandra chinensis, Pinus densiflora, and Allium tuberosum on productivity, egg quality, and health parameters in laying hens -- Response of broilers to supplementation of branched-chain amino acids blends with different valine contents in the starter period under summer conditions -- Prediction equations for digestible and metabolizable energy concentrations in feed ingredients and diets for pigs based on chemical composition -- Effect of methylsulfonylmethane on oxidative stress and CYP3A93 expression in fetal horse liver cells…”

Tabla de Contenidos: “…Intro -- Title Page -- Copyright -- Dedication -- Foreword -- Preface -- Acknowledgments -- Acronyms -- Chapter 1: Introduction to Power Integrity -- 1.1 Definition for Power Integrity -- 1.2 Historical Perspective on Power Integrity Drivers -- 1.3 First Principles Analysis -- 1.4 Scope of the Text -- References -- Chapter 2: Introduction to Platform Power Conversion -- 2.1 Power Distribution System -- 2.2 Platform DC-to-DC Power Conversion -- 2.3 Layout and Noise Considerations -- 2.4 Summary -- References -- Problems -- Chapter 3: Review of Electromagnetic Field and Circuit Representations -- 3.1 Vectors and Scalars -- 3.2 Static Fields -- 3.3 Maxwell's Equations -- 3.4 Useful and Simple Circuit Extractions -- 3.5 Summary -- References -- Problems -- Chapter 4: Power Distribution Network -- 4.1 The Power Distribution Network -- 4.2 PDN Elements -- 4.3 Impedance Distribution Analysis -- 4.4 Summary -- References -- Problems -- Chapter 5: Power Integrity Time-Domain and Boundary Analysis -- 5.1 Source and Load Modeling -- 5.2 Time-Dependent Systems -- 5.3 Impedance/Load Boundary Analysis -- 5.4 Summary -- References -- Problems -- Chapter 6: System Considerations for Power Integrity -- 6.1 Power Loadline Fundamentals -- 6.2 Noise Generation Considerations in Power Integrity -- 6.3 Power Noise Reduction Techniques -- 6.4 EMI Considerations for Power Integrity -- 6.5 Power Integrity PDN in System Measurements -- 6.6 Summary -- References -- Problems -- Chapter 7: Silicon Power Distribution and Analysis -- 7.1 Silicon and Package Power Integrity -- 7.2 Silicon and Package Power Delivery -- 7.3 On-die Decoupling -- 7.4 Advanced Topics in Power on Silicon -- 7.5 Summary -- References -- Problems -- Appendix A: Table of Inductances for Commonly Used Geometries -- References -- Appendix B: Spherical Coordinate System -- References…”

Tabla de Contenidos: “…Chapter 5: Symbols, Tables, and FieldsBlocks; Dynamic Blocks; Symbol Libraries; Assigning and Extracting Attributes; XRefs: External References; Fields and Tables; Chapter 6: Plotting; Model Space, Paper Space, and Layouts; What to Put Where; Plotting a Layout; AutoCAD Graphics in Other Applications; Chapter 7: AutoCAD Scripts; Characteristics of Scripts; Writing and Running Scripts; Updating Thousands of Drawings; Chapter 8: AutoLISP by Example: Getting Started; Background; Writing AutoLISP Programs; AutoLISP Examples; Automatic Loading; Chapter 9: AutoLISP by Example: Getting Better…”

Tabla de Contenidos: “…3.5 Litigation led Investing3.6 Lending Against Hospital Receivables; 3.7 Film Financing; 3.8 Music Investing; 3.9 Appendix; 4 Collectables; 4.1 Introduction; 4.2 Investing in Art; 4.3 Case Study Series (with Philip Hoffman, The Fine Art Fund Group); 4.4 Investing in Photography; 4.5 Investing in Wine; 4.6 Investing in Vintage Cars; 5 Extraction Strategies; 5.1 Volatility Investing; 5.2 Behaviour Finance; 6 Place in a Portfolio; Further Reading; Index…”

Tabla de Contenidos: “…Chapter 17 - Measurement-Based Statistical Fusion Methods for Distributed Sensor NetworksChapter 18 - Soft Computing Techniques; Chapter 19 - Estimation and Kalman Filters; Chapter 20 - Data Registration; Chapter 21 - Signal Calibration, Estimation for Real-Time Monitoring and Control; Chapter 22 - Semantic Information Extraction; Chapter 23 - Fusion in the Context of Information Theory; Chapter 24 - Multispectral Sensing; Chapter 25 - Chebyshev's Inequality-Based Multisensor Data Fusion in Self-Organizing Sensor Networks; Chapter 26 - Markov Model Inferencing in Distributed Systems…”

Tabla de Contenidos: “…Programming R with RStudio; Source Code Editor; Basics; Keyboard shortcuts; R Programming Features; Syntax highlighting; Bracket matching; Automatic indenting; Code completion and usage information; Extract function; Run or source commands; Navigation; Jump to function; Go to file/function; The File Browser; File upload…”

Tabla de Contenidos: “…An assessment framework and analysis -- Remaining Time Prediction for Processes with Inter-Case Dynamics -- Event Log Sampling for Predictive Monitoring -- Active Anomaly Detection for Key Item Selection in Process Auditing -- Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach -- Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring -- Online Prediction of Aggregated Retailer Consumer Behaviour -- PErrCas: Process Error Cascade Mining in Trace Streams -- Continuous performance evaluation for business process outcome monitoring -- An Event Data Extraction Approach from SAP ERP for Process Mining -- Towards a Natural Language Conversational Interface for Process Mining -- On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization -- Verifying guideline compliance in clinical treatment using multi-perspective conformance checking: a case study -- Patient Discharge Classification based on the Hospital Treatment Process -- Combining the Clinical and Operational Perspectives in Heterogeneous Treatment E ect Inference in Healthcare Processes -- Interactive Process Mining Applied in a Cardiology Outpatient Department -- Discovering care pathways for multi-morbid patients using event graphs -- Process Mining in Trusted Execution Environments: Towards Hardware Guarantees for Trust-aware Inter-organizational Process Analysis -- Quantifying the Re-identification Risk in Published Process Models -- Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities…”

Tabla de Contenidos: “…A Three-Day Workshop Held in September 2022 at MUCIV -- Curators As Mediators Between the Community and Museum -- Seko Na Seko (Forever) -- gathering, weathering -- The Cursed Land of Lustful Women -- Turning the Gaze Outside-In – Exploring Danish Pasts in Graphic Storytelling -- Material Memories for Future Worlds -- Wood, Ivory, and Palm Nuts: A (Dis)Continuation of an Old Sengele Story -- Climate Crisis – The Decline of Biodiversity and an Over 140-Year-Old Necklace -- The Doum Palm Between Colonial Exploitation and Collecting -- Native Hawaiian Kapa: Rebuilding a Sustainable Future -- A World in a Box: Education and/or Extraction in a Dutch Colonial School Collection -- Hundred-year-old Seediq Stories in the Swedish Collection -- Yeil koowú – A Raven’s Tail Ceremonial Robe -- Cotton Cultivation in Togo Through the Lens of Europe's Periphery -- Gentle Glory: Loss, Exile, and Survival in an Eleventh Century Tibetan Bodhisattva -- Skin and the Archive: Reading Ecology and Colonial Legacies in a Kuria Drum -- Rethinking Worldviews Through the Moche Blood Ceremony Ceramic Vessel: Lessons from the Past for an Environmentally Just Future -- Maize Deity or Spirit in the Andean Worldview -- Corona Puppet -- Biographies of Contributors…”

Tabla de Contenidos: “…Marine-derived nutraceuticals : trends and prospects / Se-Kwon Kim -- Nutritional value of sea lettuces / Se-Kwon Kim, Ratih Pangestuti -- Prospects and potential applications of seaweeds as neuroprotective agents / Se-Kwon Kim, Ratih Pangestuti -- Chitosan-based biomaterials against diabetes and related complications / Se-Kwon Kim, Fatih Karadeniz -- Nutraceutical benefits of marine steroid derivatives / Se-Kwon Kim, Quang Van Ta -- Nutritional value, bioactive compounds, and health-promoting properties of abalone / Mahanama De Zoyza -- Marine biopolymers in Asian nutraceuticals / Nghia Dang Ngo, Se-Kwon Kim -- Marine natural antihypertensive peptides from styela clava having multi-functions of ace inhibition and no production in endothelial cells / Seok-Chun Ko, Se-Kwon Kim, You-Jin Jeon -- Beneficial effects of marine natural products in auto-immune diseases / Mi Eun Kim ... [et al.] -- Extraction of nutraceuticals from shrimp by-products / Trang Si Trung, Willem Frans Stevens -- Fucoidan : a potential ingredient of marine nutraceuticals / Se Kwon Kim, Thanh-Sang Vo, Dai-Hung Ngo --…”
Enlace del recurso

“…Adequate management of the space depends on several elements, such as the patient's dental age, dental rash pattern and sequence, amount of alveolar bone covering the permanent tooth, the time that has elapsed since extraction, degree of crowding and space available in the arches and patient cooperation in both dental procedures and maintenance of good oral hygiene. …”

“…Image analysis is a fundamental task for extracting information from images acquired across a range of different devices. …”

“…The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. …”

Tabla de Contenidos: “…P.Wambacq, K.Demuynck, and D.Van Compernolle -- 7.COREA: Coreference Resolution for Extracting Answers for Dutch. I.Hendrickx, G.Bouma, W.Daelemans and V.Hoste -- 8.Automatic Tree Matching for Analysing Semantic Similarity in Comparable Text. …”

“…Since 1991 excavations in advance of gravel extraction around Lydd on Romney Marsh, have uncovered large areas of medieval landscape, one of the largest to be exposed in southern England. …”

“…Below, we consider four main value chains: • Oil crops: Oil production from non-food oilseed crops (such as camelina, Crambe, safflower, castor, cuphea, cardoon, etc.), oil extraction, and oil utilization for fuel production. • Lignocellulosic crops: Biomass production from perennial grasses (miscanthus, giant reed, switchgrass, reed canary grass, etc.), woody crops (willow, poplar, Robinia, eucalyptus, etc.), and agricultural residues (pruning, maize cob, maize stalks, wheat chaff, sugar cane straw, etc.), considering two main transformation systems: 1. …”

“…Many coumarin derivatives have been extracted from natural sources, designed, synthetized, and evaluated on different pharmacological targets. …”

Tabla de Contenidos: “…Technical requirements -- Constructing a spatial hypothesis test -- Understanding spatial weights and spatial lags -- Global spatial autocorrelation -- Local spatial autocorrelation -- Point pattern analysis -- Ripley's alphabet functions -- Summary -- Chapter 7: Spatial Feature Engineering -- Technical requirements -- Defining spatial feature engineering -- Performing a bit of geospatial magic -- Engineering summary spatial features -- Summary spatial features using one dataset -- Summary spatial features using two datasets -- Engineering proximity spatial features -- Proximity spatial features - NYC attractions -- Summary -- Part 3: Geospatial Modeling Case Studies -- Chapter 8: Spatial Clustering and Regionalization -- Technical requirements -- Collecting geodemographic data for modeling -- Extracting data using the Census API -- Cleaning the extracted data -- Conducting EDA and ESDA -- Developing geodemographic clusters -- K-means geodemographic clustering -- Agglomerative hierarchical geodemographic clustering -- Spatially constrained agglomerative hierarchical geodemographic clustering -- Measuring model performance -- Summary -- Chapter 9: Developing Spatial Regression Models -- Technical requirements -- A refresher on regression models -- Constructing an initial regression model -- Exploring unmodeled spatial relationships -- Teaching the model to think spatially -- Incorporating spatial fixed effects within the model -- Introduction to GWR models -- Fitting a GWR model to predict nightly Airbnb prices -- Introduction to Multiscale Geographically Weighted Regression -- Fitting an MGWR model to predict nightly Airbnb prices -- How do I choose between these models? …”

Tabla de Contenidos: “…6.1.3 Transitivity -- 6.1.4 Assortativity -- 6.1.5 Network Properties -- 6.2 Role -- 6.2.1 Structural Equivalence -- 6.2.2 Automorphic Equivalence -- 6.2.3 Role Equivalence -- 6.2.4 Regular Equivalence -- 6.2.5 Block Modeling -- References -- Chapter 7 Data Structure in NetMiner -- 7.1 Sample Data -- 7.1.1 01.Org_Net_Tiny1 -- 7.1.2 02.Org_Net_Tiny2 -- 7.1.3 03.Org_Net_Tiny3 -- 7.2 Main Concept -- 7.2.1 Data Structure -- 7.2.2 Creating Data -- 7.2.3 Inserting Data -- 7.2.4 Importing Data -- 7.3 Data Preprocessing -- 7.3.1 Change of Link -- 7.3.2 Extraction and Reordering of the Node and Link -- 7.3.3 Data Merge and Split -- Reference -- Chapter 8 Network Analysis Using NetMiner -- 8.1 Centrality and Cohesive Subgroup -- 8.1.1 Centrality -- 8.1.2 Cohesive Subgroup -- 8.2 Connectivity and Equivalence -- 8.2.1 Connectivity -- 8.2.2 Equivalence -- 8.3 Visualization and Exploratory Analysis -- 8.3.1 Visualization -- 8.3.2 Transformation of the Two-Mode Network to a One-Mode Network -- Appendix A Visualization -- A.1 Spring Algorithm -- A.2 Multidimensional Scaling Algorithm -- A.3 Cluster Algorithm -- A.4 Layered Algorithm -- A.5 Circular Algorithm -- A.6 Simple Algorithm -- References -- Appendix B Case Study: Knowledge Structure of Steel Research -- Reference -- Index -- EULA…”