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Super-flexibility for knowledge enterprises : a toolkit for dynamic adaptation Second edition. by Bahrami, Homa, Evans, J. Stuart

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Artificial intelligence and evolutionary computations in engineering systems : proceedings of ICAIECES 2017 by International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems Madanapalle, India, SpringerLink (Online service)

Contents: “…Intro; Preface; Contents; About the Editors; 1 Testing the Functionality of Firewall in Software-Defined Networking; Abstract; 1 Introduction; 2 Firewall; 3 OpenFlow Protocol; 4 Methodology; 5 Experimental Set-Up; 6 Result and Discussion; 6.1 Scenario 1; 6.2 Scenario 2; 6.3 Scenario 3; 7 Latency and Throughput; 8 Conclusion; References; 2 An Extension of 2D Laplacian of Gaussian (LoG)-Based Spot Detection Method to 3D; Abstract; 1 Introduction; 2 Methodology; 2.1 Original 2D Laplacian of Gaussian (LoG); 2.2 3D Laplacian of Gaussian (LoG); 2.3 3D Synthetic Image Datasets.…”
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Future data and security engineering : big data, security and privacy, smart city and Industry 4.0 applications : 9th International Conference, FDSE 2022, Ho Chi Minh City, Vietnam... by FDSE (Conference) Ho Chi Minh City, Vietnam), SpringerLink (Online service)

Contents: “…Invited Keynotes -- Towards a Foundation of Web3 -- In-Memory Computing Architectures for Big data and Machine Learning Applications -- Secure and Efficient Implementation of Electronic Money -- Managing the Quality of Data and Metadata for Biobanks -- Big Data Analytics and Distributed Systems -- Towards A Privacy, Secured and Distributed Clinical Data Warehouse Architecture -- Improving the Storage Utilization of 0-Complete Trees as Index Structures -- Implement the Data Conversion System by using Lightweight Coreset for Validation Process -- Content Selection Methods Using User Interest Prediction Based on Similarities of Web Activities -- ImageNet Challenging Classification with the Raspberry Pis: A Federated Learning Algorithm of Local Stochastic Gradient Descent Models -- Covid-19 Detection Based on Lung Lesion Signs in Big Data Processing Environment -- Predicting Loan Repayment Using A Hybrid of Genetic Algorithms, Logistic Regression, and Artificial Neural Networks -- Performance Evaluation of Regular Decomposition and Benchmark Clustering Methods -- Security and Privacy Engineering -- Authentication of Luxury Products Identifying Key Requirements from a Seller and Consumer Perspective -- Analysis of A New Practical SPN-based Scheme in the Luby-Rackoff Model -- Authorization and Access Control for Different Database Models: Requirements and Current State of the Art -- A Hierarchical Deterministic Wallet using Ed25519 Digital Signature Scheme -- A Secure Framework for Internet of Medical Things Security Based System using Lightweight Cryptography enabled Blockchain -- Signature Algorithms on Non-commutative Algebras over Finite Fields of Characteristic Two -- Design a Smart Lock System Using Fingerprint and Password for Enhancing Security -- Machine Learning and Artificial Intelligence for Security and Privacy -- Towards an Attention-based Threat Detection System for IoT Networks -- Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare -- pPATE: A Pragmatic Private Aggregation of Teacher Ensembles Framework by Sparse Vector Technique based Differential Privacy, Paillier Cryptosystem and Human-in-the-loop -- Vietnamese Texts Writing Styles Based Authorship Identification Model -- Application of Machine Learning in Malware Detection -- Smart City and Industry 4.0 Applications -- Text Classification Models and Topic Models: An Overall Picture and A Case Study in Vietnamese -- Deep Hybrid Models for Forecasting Stock Midprices from the High-Frequency Limit Order Book -- An Image Denoising Model based on Nonlinear Partial Diferential Equation Using Deep Learning -- Recommendations in E-Commerce Systems based on Deep Matrix Factorization -- AttendanceKit: A set of Role-based Mobile Applications for Automatic Attendance Checking with UHF RFID using Realtime Firebase and Face Recognition -- Poses Classification in a Taekwondo Lesson using Skeleton Data extracted from Videos with Shallow and Deep Learning Architectures -- Social Distancing Violation Detection in Video using ChessBoard and Bird's-eye Perspective -- 3D-FaultSeg-UNet: 3D Fault Segmentation in Seismic Data Using Bi-stream U-Net -- Applying Artificial Intelligence to Plan Flight Paths for Aircraft at Subsonic Speeds -- Capacity Building in Government: Towards Developing A Standard for A Functional Specialist in AI for Public Services -- On the Feasibility of Machine Learning Models for Customer Spending Prediction Problem -- Forecasting the Opening and Closing Price Trends of Stock Using Hybrid Models and Artificial Intelligence Algorithm -- Artificial Intelligence Use in e-Government Services: A Systematic Interdisciplinary Literature Review -- Face Recognition based on Deep Learning and Data Augmentation -- An Approach for Similarity Vietnamese Documents Detection from English Documents -- Combine Clasification Algorithm and Centernet Model to Predict Trafic Density -- Data Analytics and Healthcare Systems -- Comparison of Health Indicators Construction for Concrete Structure Using Acoustic Emission Hit and Kullback-Leibler Divergence -- Lung and Colon Tumor Classification Based on Transfer Learning-Based Techniques -- An Enhanced Diabetes Mellitus Prediction using Feature Selection-Based Type-2 Fuzzy Model -- A Novel Approach of Using Neural Circuit Policies for COVID-19 Classification on CT-images -- Lung Lesions Segmentation and Classification with Deep Neural Networks -- Security and Data Engineering -- Image Denoising using Fully Connected Network with Reinforcement Learning -- Energy Harvesting Aware for Delay-efficient Data Aggregation in Battery-free IoT Sensors -- Deep Models for Mispronounce Prediction for Vietnamese Learners of English -- An Approach to Hummed-tune and Song Sequences Matching -- 84 Birds Classification using Transfer Learning and EfficientNetB2 -- A Session-based Recommender System for Learning Resources -- A Drowsiness Detection System Based on Eye Landmarks Using IoT -- A Novel Approach for Vietnamese Speech Recognition Using Conformer -- Enhancing obfuscated malware detection with machine learning techniques -- Detecting Intrusion using Multiple Datasets in Software-Defined Networks -- Detecting Exams Fraud Using Transfer Learning and Fine-tuning for ResNet50 -- Shape of Pill Recognition Using Mask R-CNN.…”
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Pro Python Second edition. by Browning, J. Burton, Alchin, Marty

Contents: “…Using __all __ to Customize Imports -- Relative Imports -- The __import__() function -- The importlib module -- Taking It With You -- Chapter 3: Functions -- Arguments -- Planning for Flexibility -- Variable Positional Arguments -- Variable Keyword Arguments -- Combining Different Kinds of Arguments -- Invoking Functions with Variable Arguments -- Preloading Arguments -- Introspection -- Example: Identifying Argument Values -- Example: A More Concise Version -- Example: Validating Arguments -- Decorators -- Closures -- Wrappers -- Decorators with Arguments -- Decorators with-or without-Arguments -- Example: Memoization -- Example: A Decorator to Create Decorators -- Function Annotations -- Example: Type Safety -- Factoring Out the Boilerplate -- Example: Type Coercion -- Annotating with Decorators -- Example: Type Safety as a Decorator -- Generators -- Lambdas -- Introspection -- Identifying Object Types -- Modules and Packages -- Docstrings -- Taking It with You -- Chapter 4: Classes -- Inheritance -- Multiple Inheritance -- Method Resolution Order -- Example: C3 Algorithm -- Using super() to Pass Control to Other Classes -- Introspection -- How Classes Are Created -- Creating Classes at Runtime -- Metaclasses -- Example: Plugin Framework -- Controlling the Namespace -- Attributes -- Properties -- Descriptors -- Methods -- Unbound Methods -- Bound Methods -- Class Methods -- Static Methods -- Assigning Functions to Classes and Instances -- Magic Methods -- Creating Instances -- Example: Automatic Subclasses -- Dealing with Attributes -- String Representations -- Taking It With You -- Chapter 5: Common Protocols -- Basic Operations -- Mathematical Operations -- Bitwise Operations -- Variations -- Numbers -- Sign Operations -- Comparison Operations -- Iterables -- Example: Repeatable Generators -- Sequences -- Mappings -- Callables.…”
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LASER ADDITIVE MANUFACTURING OF METALLIC MATERIALS AND COMPONENTS by Gu, Dongdong, 1992-

Contents: “…1.3 Characteristics of MSPI-AM: the right materials printed in the right positions -- 1.4 Characteristics of MSPI-AM: unique structures printed for unique functions -- 1.5 Realizing MSPI-AM via cross-scale coordination -- 1.5.1 Nano- and microscale material control -- 1.5.2 Mesoscale process control -- 1.5.3 Macroscale structure and performance control -- 1.6 The planned contents of this book -- References -- I -- Designed multimaterials for additive manufacturing -- 2 -- Nanoscale ceramic reinforced Al-based nanocomposites by laser additive manufacturing: novel reinforcement archi ...…”
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Advances in Microbial Physiology. Volume 82 by ScienceDirect (Online service)

Contents: “…Essential elements for plants -- 10.3. A proposed minimal set of essential elements -- 10.4. …”
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Machine learning : ECML 2006 : 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006 : proceedings by European Conference on Machine Learning Berlin, Germany, SpringerLink (Online service)

Contents: “…Invited Talks -- On Temporal Evolution in Data Streams -- The Future of CiteSeer: CiteSeerx -- Learning to Have Fun -- Winning the DARPA Grand Challenge -- Challenges of Urban Sensing -- Long Papers -- Learning in One-Shot Strategic Form Games -- A Selective Sampling Strategy for Label Ranking -- Combinatorial Markov Random Fields -- Learning Stochastic Tree Edit Distance -- Pertinent Background Knowledge for Learning Protein Grammars -- Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies -- Sequence Discrimination Using Phase-Type Distributions -- Languages as Hyperplanes: Grammatical Inference with String Kernels -- Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning -- Fisher Kernels for Relational Data -- Evaluating Misclassifications in Imbalanced Data -- Improving Control-Knowledge Acquisition for Planning by Active Learning -- PAC-Learning of Markov Models with Hidden State -- A Discriminative Approach for the Retrieval of Images from Text Queries -- TildeCRF: Conditional Random Fields for Logical Sequences -- Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data -- Bayesian Learning of Markov Network Structure -- Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks -- Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions -- EM Algorithm for Symmetric Causal Independence Models -- Deconvolutive Clustering of Markov States -- Patching Approximate Solutions in Reinforcement Learning -- Fast Variational Inference for Gaussian Process Models Through KL-Correction -- Bandit Based Monte-Carlo Planning -- Bayesian Learning with Mixtures of Trees -- Transductive Gaussian Process Regression with Automatic Model Selection -- Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees -- Why Is Rule Learning Optimistic and How to Correct It -- Automatically Evolving Rule Induction Algorithms -- Bayesian Active Learning for Sensitivity Analysis -- Mixtures of Kikuchi Approximations -- Boosting in PN Spaces -- Prioritizing Point-Based POMDP Solvers -- Graph Based Semi-supervised Learning with Sharper Edges -- Margin-Based Active Learning for Structured Output Spaces -- Skill Acquisition Via Transfer Learning and Advice Taking -- Constant Rate Approximate Maximum Margin Algorithms -- Batch Classification with Applications in Computer Aided Diagnosis -- Improving the Ranking Performance of Decision Trees -- Multiple-Instance Learning Via Random Walk -- Localized Alternative Cluster Ensembles for Collaborative Structuring -- Distributional Features for Text Categorization -- Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data -- An Adaptive Kernel Method for Semi-supervised Clustering -- To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles -- Ensembles of Nearest Neighbor Forecasts -- Short Papers -- Learning Process Models with Missing Data -- Case-Based Label Ranking -- Cascade Evaluation of Clustering Algorithms -- Making Good Probability Estimates for Regression -- Fast Spectral Clustering of Data Using Sequential Matrix Compression -- An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects -- Efficient Inference in Large Conditional Random Fields -- A Kernel-Based Approach to Estimating Phase Shifts Between Irregularly Sampled Time Series: An Application to Gravitational Lenses -- Cost-Sensitive Decision Tree Learning for Forensic Classification -- The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces -- Right of Inference: Nearest Rectangle Learning Revisited -- Reinforcement Learning for MDPs with Constraints -- Efficient Non-linear Control Through Neuroevolution -- Efficient Prediction-Based Validation for Document Clustering -- On Testing the Missing at Random Assumption -- B-Matching for Spectral Clustering -- Multi-class Ensemble-Based Active Learning -- Active Learning with Irrelevant Examples -- Classification with Support Hyperplanes -- (Agnostic) PAC Learning Concepts in Higher-Order Logic -- Evaluating Feature Selection for SVMs in High Dimensions -- Revisiting Fisher Kernels for Document Similarities -- Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery -- Robust Probabilistic Calibration -- Missing Data in Kernel PCA -- Exploiting Extremely Rare Features in Text Categorization -- Efficient Large Scale Linear Programming Support Vector Machines -- An Efficient Approximation to Lookahead in Relational Learners -- Improvement of Systems Management Policies Using Hybrid Reinforcement Learning -- Diversified SVM Ensembles for Large Data Sets -- Dynamic Integration with Random Forests -- Bagging Using Statistical Queries -- Guiding the Search in the NO Region of the Phase Transition Problem with a Partial Subsumption Test -- Spline Embedding for Nonlinear Dimensionality Reduction -- Cost-Sensitive Learning of SVM for Ranking -- Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures.…”
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Principles and practice of constraint programming -- CP 2005 : 11th international conference, CP 2005, Sitges, Spain, October 1-5, 2005 : proceedings by CP (Conference) Sitges, Spain), SpringerLink (Online service)

Contents: “…Fernandez, Teresa Hortala-Gonzalez, Fernando Saenz-Perez -- Computing super-schedules / Emmanuel Hebrard, Paul Tyler, Toby Walsh -- Proterv-II: an integrated production planning and scheduling system / Andras Kovacs, Peter Egri, Tamas Kis, Jozsef Vancza -- The comet programming language and system / Laurent Michel, Pascal Van Hentenryck -- Random stimuli generation for functional hardware verification as a CP application / Yehuda Naveh, Roy Emek -- A BDD-based interactive configurator for modular systems / Erik R. van der Meer.…”
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Organization and management of IT : the new role of IT and the CIO in digital transformation by Johanning, Volker

Contents: “…3.5 The Process Organization as an Interface to the Specialist Departments -- 3.5.1 The Question of the Responsibility of a Process Organization -- 3.5.2 The Three Levels of Requirements Management -- 3.5.3 Important Roles in the Process Organization -- 3.5.4 Establishment of a Process Organization -- 3.5.4.1 Step 1: Define End-to-End Processes -- 3.5.4.2 Step 2: Distribute the Roles -- 3.5.4.3 Step 3: "Marrying" the IT Organization and the Process Organization -- 3.5.4.4 Step 4: Formally Introduce the Process Organization -- 3.6 Summary and Plea for a Modern IT Organization.…”
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Sustainable development, human dignity and choice : lessons from the ENRICH Programme, Bangladesh by Greeley, Martin, 1952-

Contents: “…5.3 Difference-in-Difference Based on Propensity Score Matching -- 5.4 Results -- 5.5 Understanding the Causal Link -- 5.6 The Impact of the ENRICH Programme on Occupational Change -- Chapter 6: A Theoretical Framework to Assess the Programme Impact on Dignity -- 6.1 Defining and Understanding Dignity -- 6.2 Measuring Dignity: The Capabilities Approach -- 6.3 From Central Capabilities to Dignity -- 6.4 Dignity, Capabilities and Functioning: Tragic Choice as Basis for Measurement of Dignity.…”
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CRM fundamentals by Kostojohn, Scott, Johnson, Mathew, Paulen, Brian

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Trustworthy software development processes : International Conference on Software Process, ICSP 2009, Vancouver, Canada, May 16-17, 2009 : proceedings by International Conference on the Software Process Vancouver, B.C., SpringerLink (Online service)

Contents: “…for the Process of Re-planning for Product Releases -- Overcoming the First Hurdle: Why Organizations Do Not Adopt CMMI -- Value-Based Multiple Software Projects Scheduling with Genetic Algorithm -- Process Tools -- Meta Model Based Architecture for Software Process Instantiation -- Distributed Orchestration Versus Choreography: The FOCAS Approach -- An Architecture for Modeling and Applying Quality Processes on Evolving Software -- Process Analysis -- Evaluating the Perceived Effect of Software Engineering Practices in the Italian Industry -- Evidence-Based Insights about Issue Management Processes: An Exploratory Study -- Process Aspect: Handling Crosscutting Concerns during Software Process Improvement -- Stochastic Process Algebra Based Software Process Simulation Modeling -- Process Simulation Modeling -- Combining Aspect and Model-Driven Engineering Approaches for Software Process Modeling and Execution -- Dynamic COQUALMO: Defect Profiling over Development Cycles -- A Hybrid Model for Dynamic Simulation of Custom Software Projects in a Multiproject Environment -- On the Relative Merits of Software Reuse -- Investigating the Gap between Quantitative and Qualitative/Semi-quantitative Software Process Simulation Models: An Explorative Study -- Experience Report -- Bridge the Gap between Software Test Process and Business Value: A Case Study -- Subcontracting Processes in Software Service Organisations -- An Experience Report -- On Reducing the Pre-release Failures of Web Plug-In on Social Networking Site -- Technical Software Development Process in the XML Domain -- Process Metrics -- Software Product Quality: Ensuring a Common Goal -- Predicting Upgrade Project Defects Based on Enhancement Requirements: An Empirical Study -- Process Modeling and Representation -- Incremental Process Modeling through Stakeholder-Based Hybrid Process Simulation -- A Process-Oriented Approach for the Optimal Satisficing of Non-Functional Requirements -- A Pattern for Modeling Rework in Software Development Processes -- Achieving On-Time Delivery: A Two-Stage Probabilistic Scheduling Strategy for Software Projects -- Incrementally Introducing Process Model Rationale Support in an Organization -- A Process for Driving Process Improvement in VSEs -- Modeling Software Evolution with Game Theory -- Structural Considerations in Defining Executable Process Models -- Analyzing a Software Process Model Repository for Understanding Model Evolution -- Process Trustworthiness as a Capability Indicator for Measuring and Improving Software Trustworthiness -- A System Dynamics Model That Simulates a Significant Late Life Cycle Manpower Increase Phenomenon.…”
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Enterprise Drupal 8 development : for advanced projects and large development teams by Tomlinson, Todd

Contents: “…At a Glance; Contents; About the Author; About the Technical Reviewer; Introduction; Chapter 1: Introduction to Drupal; Content Management Systems; Drupal; Drupal Core; Contributed Modules; Drupal Themes; Creating Content; Taking Drupal 8 to the Enterprise; Summary; Chapter 2: Building a Practical Software Development Process and Team; A Methodology for Building Your Site on Drupal; Building a Drupal Team in Your Organization; Project Manager; Roles and Responsibilities; Planning and Forecasting; Project Execution; Reporting; Minimum Qualifications; Metrics and Measurements.…”
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Microservices : science and engineering by SpringerLink (Online service)

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The new public health Third edition. by Tulchinsky, Theodore H., Varavikova, Elena

Contents: “…Contents note continued: Health Policy and Planning as Context -- The Elements of Organizations -- Scientific Management -- Bureaucratic Pyramidal Organizations -- Organizations as Energy Systems -- Cybernetics and Management -- Target-Oriented Management -- Operations Research -- Management by Objectives -- Human Relations Management -- The Hawthorne Effect -- Maslow's Hierarchy of Needs -- Theory X--Theory Y -- Network Organization -- Total Quality Management -- Changing Human Behavior -- Empowerment -- Strategic Management of Health Systems -- Health System Organization Models -- Functional Model -- Corporate Model -- Matrix Model -- Skills for Management -- The Chief Executive Officer of Health Organizations -- Community Participation -- Integration: Lateral and Vertical -- Norms and Performance Indicators -- Health Promotion and Advocacy -- Philanthropy and Volunteerism -- New Organizational Models -- New Projects and their Evaluation.…”
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Advances in dependability engineering of complex systems : proceedings of the twelfth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, July 2-6, 2017,... by International Conference on Dependability of Computer Systems Brunów, Poland, SpringerLink (Online service)

Contents: “…Deadlock detection in distributed systems using the IMDS formalism and Petri nets.- -- 13. …”
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The advertised mind : groundbreaking insights into how our brains respond to advertising by Du Plessis, Erik

Contents: “…Neurons : the building blocks of the brain -- Neurons -- Synapses -- Neurons in action -- Hinton diagrams of neurons -- Making the neuronal system do things -- Example of a system with different synaptic sensitivities -- Rummelhart and bigger neuronal systems -- Gestalts -- Summary : important features of neuronal systems -- Distributed memory -- Neural networks -- 6. Learning and emotion -- 'Making' a brain -- Darwin III -- Pleasure and pain -- The amygdala is the key to the fear response -- When memories are laid down they are emotionally 'tagged' -- This is not just true for big emotions -- From fear to pleasure -- Learning and feeling -- Alcohol and the pleasure centres -- Darwin III is driven by expected emotions -- Seeing activity in the brain -- Functional areas in the brain -- A picture of sight -- A picture of listening -- A picture of a naïve activity -- A picture of a practised task -- Conclusion -- 7. …”
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Active system control : design of system resilience by Schagaev, Igor, Robinson Kirk, Brian

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Pro HTML5 with Visual Studio 2015 by Collins, Mark J. (Mark Jeffery)

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Geomorphology and natural hazards : proceedings of the 25th Binghamton Symposium in Geomorphology, held September 24-25, 1994 at SUNY, Binghamton, USA by Binghamton Symposium in Geomorphology Binghamton, N.Y., ScienceDirect (Online service)

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