Tabla de Contenidos: “…TensorBoard -- The Keras library -- Summary -- Chapter 4: Semantic Embedding Using Shallow Models -- Word vectors -- The classical approach -- Word2vec -- The CBOW model -- The skip-gram model -- A comparison of skip-gram and CBOW model architectures -- Building a skip-gram model -- Visualization of word embeddings -- From word to document embeddings -- Sentence2vec -- Doc2vec -- Visualization of document embeddings -- Summary -- Chapter 5: Text Classification Using LSTM -- Data for text classification -- Topic modeling -- Topic modeling versus text classification -- Deep learning meta architecture for text classification -- Embedding layer -- Deep representation -- Fully connected part -- Identifying spam in YouTube video comments using RNNs -- Classifying news articles by topic using a CNN -- Transfer learning using GloVe embeddings -- Multi-label classification -- Binary relevance -- Deep learning for multi-label classification -- Attention networks for document classification -- Summary -- Chapter 6: Searching and DeDuplicating Using CNNs -- Data -- Data description -- Training the model -- Encoding the text -- Modeling with CNN -- Training -- Inference -- Summary -- Chapter 7: Named Entity Recognition Using Character LSTM -- NER with deep learning -- Data -- Model -- Word embeddings -- Walking through the code -- Input -- Word embedding -- The effects of different pretrained word embeddings -- Neural network architecture -- Decoding predictions -- The training step -- Scope for improvement -- Summary -- Chapter 8: Text Generation and Summarization Using GRUs -- Generating text using RNNs -- Generating Linux kernel code with a GRU -- Text summarization -- Extractive summarization -- Summarization using gensim -- Abstractive summarization -- Encoder-decoder architecture -- Encoder -- Decoder -- News summarization using GRU -- Data preparation…”

Tabla de Contenidos: “…. -- Extracting topics from text documents using Mallet -- Getting ready -- How to do it... -- Classifying text documents using Mallet -- Getting ready -- How to do it... -- Classifying text documents using Weka -- Getting ready -- How to do it... -- Chapter 7: Handling Big Data -- Introduction -- Training an online logistic regression model using Apache Mahout -- Getting ready -- How to do it... -- Applying an online logistic regression model using Apache Mahout -- Getting ready -- How to do it... -- Solving simple text mining problems with Apache Spark -- Getting ready -- How to do it... -- Clustering using KMeans algorithm with MLib -- Getting ready -- How to do it... -- Creating a linear regression model with MLib -- Getting ready -- How to do it... -- Classifying data points with Random Forest model using MLib -- Getting ready -- How to do it... -- Chapter 8: Learn Deeply from Data -- Introduction -- Creating a Word2vec neural net using Deep Learning for Java (DL4j) -- How to do it... -- How it works... -- There's more -- Creating a Deep Belief neural net using Deep Learning for Java (DL4j) -- How to do it... -- How it works... -- Creating a deep autoencoder using Deep Learning for Java (DL4j) -- How to do it...…”

Tabla de Contenidos: “…-- Designing for a machine -- Designing for a human -- Increasing information density with ASCII art -- Displaying information with tables -- Clarifying with emojis -- Using color with intention -- Spinners and progress bars -- Disabling colors -- Being consistent across CLIs -- Naming -- Positional versus flag arguments -- Flag naming -- Usage -- Summary -- Questions -- Further reading -- Answers -- Chapter 9: The Empathic Side of Development -- Technical requirements -- Rewriting errors to be human-readable -- Guidelines for writing error messages -- Decorating errors -- Customizing errors -- Writing better error messages -- Providing debug and traceback information -- Logging data -- Initiating a logger -- Implementing a logger -- Trying out verbose mode to view stack traces -- Effortless bug submission -- Help, documentation, and support -- Generating help text -- Generating man pages -- Embedding empathy into your documentation -- Summary -- Questions -- Further reading -- Answers -- Chapter 10: Interactivity with Prompts and Terminal Dashboards -- Technical requirements -- Guiding users with prompts -- Designing a useful terminal dashboard -- Learning about Termdash -- Implementing a terminal dashboard -- Creating the terminal layer -- Creating the infrastructure layer -- Creating the container layer -- Creating the widgets layer -- Summary -- Questions -- Answers -- Further reading -- Part 4: Building and Distributing for Different Platforms -- Chapter 11: Custom Builds and Testing CLI Commands -- Technical requirements -- What are build tags and how can you use them? …”

Tabla de Contenidos: “…Cover -- Copyright -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting to Know Your Environment -- Technical requirements -- Getting started with Unity 2021 -- Using macOS -- Creating a new project -- Navigating the editor -- Using C# with Unity -- Working with C# scripts -- Introducing the Visual Studio editor -- Opening a C# file -- Beware of naming mismatches -- Syncing C# files -- Exploring the documentation -- Accessing Unity's documentation -- Locating C# resources -- Summary -- Pop quiz - dealing with scripts -- Chapter 2: The Building Blocks of Programming -- Defining variables -- Names are important -- Variables act as placeholders -- Understanding methods -- Methods drive actions -- Methods are placeholders too -- Introducing classes -- A common Unity class -- Classes are blueprints -- Communication among classes -- Working with comments -- Single-line comments -- Multi-line comments -- Adding comments -- Putting the building blocks together -- Scripts become components -- A helping hand from MonoBehaviour -- Hero's trial - MonoBehaviour in the Scripting API -- Summary -- Pop quiz - C# building blocks -- Chapter 3: Diving into Variables, Types, and Methods -- Writing proper C# -- Debugging your code -- Understanding variables -- Declaring variables -- Type and value declarations -- Type-only declarations -- Using access modifiers -- Working with types -- Common built-in types -- Type conversions -- Inferred declarations -- Custom types -- Naming variables -- Understanding variable scope -- Introducing operators -- Arithmetic and assignments -- Defining methods -- Declaring methods -- Naming conventions -- Methods as logic detours -- Specifying parameters -- Specifying return values -- Using return values -- Hero's trial - methods as arguments -- Dissecting common Unity methods -- The Start method -- The Update method…”

Tabla de Contenidos: “…Enforcing the Duration Rule -- Summary -- Chapter 14: Interpreting Offers with Attributes -- Interpretations and Attribute Grammars -- A Simple Interpretation -- Introducing Attribute Grammars -- Your First Attribute Grammar -- Synthesizing the Result -- Integrating UUAGC in Your Package -- Executing the Attribute Grammar -- Expression Interpretation -- Using an Attribute Grammar -- Precomputing Some Values -- A Different (Monadic) View -- Offer Interpretations -- Checking the Presents Rule -- Showing an HTML Description -- Programming with Data Types -- Origami Programming over Any Data Type -- Data Type-Generic Programming -- Summary -- Part V: Engineering the Store -- Chapter 15: Documenting, Testing, and Verifying -- Documenting Binary Trees with Haddock -- Unit Testing with HUnit -- Declaring Tests in Cabal -- Writing Unit Tests -- Randomized Testing with QuickCheck -- Testing List Properties -- Testing Binary Tree Properties -- Formal Verification with LiquidHaskell -- Describing Binary Search Trees -- Summary -- Chapter 16: Architecting Your Application -- Tools -- Project and Dependency Management -- Code Style -- Documentation -- Test and Verification -- Benchmarking -- Profiling -- Coverage -- Remote Monitoring -- Design Patterns and Functional Programming -- Medium-Level Guidelines -- Use Higher-Order Combinators -- Refactor -- Use Type Classes Wisely -- Enforce Invariants via the Type System -- Stay (As) Pure and Polymorphic (As Possible) -- Patterns with Monads -- Summary of Monads -- Restrictive Monad Classes -- Roll Your Own Monad -- Summary -- Chapter 17: Looking Further -- Projects -- Data Mining Library -- Store Network Client -- Administration Interface and Tetris -- Additional Haskell Resources -- Other Functional Languages -- Appendix A: Time Travelling with Haskell -- Index…”

Tabla de Contenidos: “…Youth Studies in a Postcolonial World.Application of AI methods for the integration of structural engineering knowledge in early planning phases -- Analysis of the early-design timber models for sound insulation analysis -- Framework proposal for automated generation of production layout scenarios: A parametric design technique to connect production planning and structural industrial building design -- Component-based machine learning for predicting representative time-series of energy performance in building design -- A hybrid-model time-series forecasting approach for reducing the building energy performance gap -- Deep learning approach for predicting pedestrian dynamics for transportation hubs in early design phases -- Implementing Information Container for linked Document Delivery (ICDD) as a micro-service -- An explanatory use case for the implementation of Information Container for linked Document Delivery in Common Data Environments -- Automatic generation of ISO 19650 compliant templates based on standard construction contracts -- Graph-based version control for asynchronous BIM level 3 collaboration -- Image-documentation of existing buildings using a server-based BIM Collaboration Format workflow -- Unlocking the full potential of Building Information Modelling by applying the principles of Industry 4.0 and Data Governance such as COBIT -- Data Quality in Building Productivity Assessment -- the Case of Acute Care Environments -- An Approach for Cross-Data Querying and Spatial Reasoning of Tunnel Alignments -- Ontological reasoning in factory-BIM: An industrial case study for an automotive OEM -- IFCNet: A Benchmark Dataset for IFC Entity Classification -- IFC based Framework for Generating, Modeling and Visualizing Spalling Defect Geometries -- Automatic generation of IFC models from point cloud data of transport infrastructure environments -- A Proposed Ontology for Knowledge Representation in Designing Indoor Inspection Robot Systems -- Bidirectional coupling of Building Information Modeling and Building Simulation using ontologies -- Building Ontology for Preventive Fire Safety -- A Framework for Intelligent Building Information Spoken Dialogue System (iBISDS) -- A Design Recommender System: A Rules-based Approach to Exploit Natural Language Imprecision using Belief and Fuzzy Theories -- Towards the Adoption of Vision Intelligence for Construction Safety: Grounded Theory Methodology based Safety Regulations Analysis -- Concept to support the estimation of static load capacity on construction site using in-situ AR-based methods -- Using eye-tracking to compare the experienced safety supervisors and novice in identifying job site hazards under a VR environment -- Virtual Reality Platform for 3D Irregular Packing Problem -- Reference Architectural Model of Buildings for Virtual City Creator -- Data shortage for urban energy simulations? …”

Tabla de Contenidos: “…NetworkMiner -- Arkime -- Wireshark -- Summary -- Questions -- Further reading -- Chapter 10: Analyzing System Memory -- Memory analysis overview -- Memory analysis methodology -- SANS six-part methodology -- Network connections methodology -- Memory analysis tools -- Memory analysis with Volatility -- Volatility Workbench -- Memory analysis with Strings -- Installing Strings -- Common Strings searches -- Summary -- Questions -- Further reading -- Chapter 11: Analyzing System Storage -- Forensic platforms -- Autopsy -- Installing Autopsy -- Starting a case -- Adding evidence -- Navigating Autopsy -- Examining a case -- Master File Table analysis -- Prefetch analysis -- Registry analysis -- Summary -- Questions -- Further reading -- Chapter 12: Analyzing Log Files -- Logs and log management -- Working with SIEMs -- Splunk -- Elastic Stack -- Security Onion -- Windows Logs -- Windows Event Logs -- Analyzing Windows Event Logs -- Acquisition -- Triage -- Detailed Event Log analysis -- Summary -- Questions -- Further reading -- Chapter 13: Writing the Incident Report -- Documentation overview -- What to document -- Types of documentation -- Sources -- Audience -- Executive summary -- Incident investigation report -- Forensic report -- Preparing the incident and forensic report -- Note-taking -- Report language -- Summary -- Questions -- Further reading -- Part 4: Ransomware Incident Response -- Chapter 14: Ransomware Preparation and Response -- History of ransomware -- CryptoLocker -- CryptoWall -- CTB-Locker -- TeslaCrypt -- SamSam -- Locky -- WannaCry -- Ryuk -- Conti ransomware case study -- Background -- Operational disclosure -- Tactics and techniques -- Exfiltration -- Impact -- Proper ransomware preparation -- Ransomware resiliency -- Prepping the CSIRT -- Eradication and recovery -- Containment -- Eradication -- Recovery -- Summary -- Questions…”

Tabla de Contenidos: “…3.2 Actual Perspectives on Archaeological Museums, Regional Cultural Museums, and Other Types of Museum -- 4 Conclusion -- References -- The Current Status of Mongolia's Museums: Changes Taking Place in the Practical Activities of Museums Since the 1990s -- 1 Particulars of Museum Activities in Mongolia Prior to the Period of the Democratic Movement -- 2 Changes and Innovations That Started in the Museum Field -- 2.1 The Museum of Natural History -- 2.2 The National Museum of Mongolia -- 3 Changes Taking Place in Museum Collections -- 4 Issues and New Trends in Respect of Registration and Documentation of Museum Collections -- 5 Issues for the Preservation and Conservation of Museum Items -- 6 International Cooperation of Museums and New Trends -- 7 Conclusions -- References -- Policies for National Museum Management: Solutions and Development -- 1 Background to National Museums in Thailand (Fine Arts Department, 2008) -- 2 Role and Function of National Museums in Thailand -- 3 Reasons for Developing National Museums -- 4 Solutions and Development -- 5 Conclusion -- References -- Part II: Museums in the Info-Age -- The Creation of a Registration and Information Database for Cultural Heritage in Mongolia -- 1 Introduction -- 2 Registration Form -- 3 Registration and Information Database -- 4 Database of Historical and Cultural Movable Heritage -- 5 Database of Historical and Cultural Immovable Properties -- 6 Registration and Information Database of Intangible Cultural Heritage -- 7 Problems in the Creation of a Digital Registration and Information Database of Cultural Heritage -- 8 New Technologies Used in the Digital Database -- 8.1 Three-Dimensional Documentation -- 8.2 Improvement of Diagnostic Equipment of the Center of Cultural Heritage -- 8.3 National Project for Digitization of Cultural Heritage-2 -- Notes -- References…”

Tabla de Contenidos: “…Using an LSTM for time series prediction -- Data preparation -- Loading the dataset -- Slicing train and test by date -- Differencing a time series -- Scaling a time series -- Creating a lagged training set -- Input shape -- Data preparation glue -- Network output -- Network architecture -- Stateful versus stateless LSTMs -- Training -- Measuring performance -- Summary -- Chapter 10: Training LSTMs with Word Embeddings from Scratch -- An introduction to natural language processing -- Semantic analysis -- Document classification -- Vectorizing text -- NLP terminology -- Bag of Word models -- Stemming, lemmatization, and stopwords -- Count and TF-IDF vectorization -- Word embedding -- A quick example -- Learning word embeddings with prediction -- Learning word embeddings with counting -- Getting from words to documents -- Keras embedding layer -- 1D CNNs for natural language processing -- Case studies for document classifications -- Sentiment analysis with Keras embedding layers and LSTMs -- Preparing the data -- Input and embedding layer architecture -- LSTM layer -- Output layer -- Putting it all together -- Training the network -- Performance -- Document classification with and without GloVe -- Preparing the data -- Loading pretrained word vectors -- Input and embedding layer architecture -- Without GloVe vectors -- With GloVe vectors -- Convolution layers -- Output layer -- Putting it all together -- Training -- Performance -- Summary -- Chapter 11: Training Seq2Seq Models -- Sequence-to-sequence models -- Sequence-to-sequence model applications -- Sequence-to-sequence model architecture -- Encoders and decoders -- Characters versus words -- Teacher forcing -- Attention -- Translation metrics -- Machine translation -- Understanding the data -- Loading data -- One hot encoding -- Training network architecture -- Network architecture (for inference)…”

Tabla de Contenidos: “…Specifying the name of the user -- Email address -- Access Rights -- Sales application settings -- User: Own Documents Only -- User: All Documents -- Manager -- Language and Timezone -- Email Messages and Notifications -- Signature -- Manually setting the user password -- Assigning a salesperson to a customer -- Understanding Your Pipeline -- Creating a new opportunity -- Opportunity Title -- Customer -- Expected revenue -- Rating -- Looking at opportunities in Your Pipeline -- Next Activity -- Expected Closing -- Tags -- Email and Phone -- Internal Notes -- The Contact Information page -- Address and Contact Information -- Mailings -- Marketing -- An introduction to sales stages -- Viewing the details of an opportunity -- Actions you can take on an opportunity -- Using Odoo's OpenChatter feature -- Changing the status of an opportunity -- Managing the opportunity -- Following a business document -- Modifying the stages of the sale -- Closing the sale -- Your opportunity converted to a quotation -- Leads and opportunities -- Turning on Leads in Odoo 11 -- Creating Leads in Odoo -- Converting a Lead into an opportunity -- Using Odoo to schedule calls, meetings, and events -- Scheduling an event -- Adding attendees to your meeting -- Specifying meeting details -- Specifying tags for your meeting -- Setting up reminders for your meeting -- Specifying additional meeting options -- Summary -- Chapter 4: Purchasing with Odoo -- What's new in Odoo 11 -- Understanding the overall purchasing process -- Setting up a vendor -- Setting up warehouse locations -- Generating quotations and purchase orders -- Receiving the product -- Settling the invoice -- Installing the purchasing application -- Setting up your first vendor -- Designating vendor as Individual or Company -- Configuring your product for procurement -- Supply chain information -- Using buy routes…”

Tabla de Contenidos: “…How do I promote them? -- Documenting .NET libraries using DocFX -- Documenting a Web API using Swagger -- Use case - reusing code as a fast way to deliver good and safe software -- Summary -- Questions -- Further reading -- Chapter 13: Applying Service-Oriented Architectures with .NET -- Technical requirements -- Understanding the principles of the SOA approach -- SOAP web services -- SOAP specifications -- Difficulties associated with the standard -- REST web services -- Service type compatibility rules -- REST and native HTTP features -- Example of methods in the REST language -- The OpenAPI standard -- REST service authorization and authentication -- How does .NET 6 deal with SOA? …”

Tabla de Contenidos: “…Looking at different performance evaluation metrics -- Reading a confusion matrix -- Optimizing the precision and recall of a classification model -- Plotting a receiver operating characteristic -- Scoring metrics for multiclass classification -- Dealing with class imbalance -- Summary -- Chapter 7: Combining Different Models for Ensemble Learning -- Learning with ensembles -- Combining classifiers via majority vote -- Implementing a simple majority vote classifier -- Using the majority voting principle to make predictions -- Evaluating and tuning the ensemble classifier -- Bagging - building an ensemble of classifiers from bootstrap samples -- Bagging in a nutshell -- Applying bagging to classify samples in the Wine dataset -- Leveraging weak learners via adaptive boosting -- How boosting works -- Applying AdaBoost using scikit-learn -- Summary -- Chapter 8: Applying Machine Learning to Sentiment Analysis -- Preparing the IMDb movie review data for text processing -- Obtaining the movie review dataset -- Preprocessing the movie dataset into more convenient format -- Introducing the bag-of-words model -- Transforming words into feature vectors -- Assessing word relevancy via term frequency-inverse document frequency -- Cleaning text data -- Processing documents into tokens -- Training a logistic regression model for document classification -- Working with bigger data - online algorithms and out-of-core learning -- Topic modeling with Latent Dirichlet Allocation -- Decomposing text documents with LDA -- LDA with scikit-learn -- Summary -- Chapter 9: Embedding a Machine Learning Model into a Web Application -- Serializing fitted scikit-learn estimators -- Setting up an SQLite database for data storage -- Developing a web application with Flask -- Our first Flask web application -- Form validation and rendering -- Setting up the directory structure…”

Tabla de Contenidos: “…-- Tools Used to Analyze the M&amp -- A Deal -- The role of the buy-side M&amp -- A advisor -- The role of the sell-side M&amp -- A advisor -- Why Many M&amp -- A Deals Go Wrong -- Misplaced incentives -- Faulty analysis -- Overstated synergies -- Culture wars -- The winner's curse: Overpaying -- Chapter 5 How Investment Banking Is Used in Leveraged Buyouts -- In This Corner: Introducing the Players -- Investment banks -- Big institutions -- Management -- Stock and bond investors -- Aiming for the Right Targets in a Leveraged Buyout -- Identifying companies that can work in a leveraged buyout -- Appreciating the power of cash flow -- Coming to terms with the return analysis: Internal rate of return -- Finding the Exit -- Setting a target for exit in time -- Considering how the exit will happen -- Part 2 Digging In: Performing Investment Banking -- Chapter 6 Finding the Data: Documents and Reports -- Finding What You Need on the Securities and Exchange Commission's Website -- What types of information you can find -- The key types of documents…”

Tabla de Contenidos: “…The organization-chart format -- The indented-outline format -- The bubble-chart format -- Improving the quality of your WBS -- Using templates -- Drawing on previous experience -- Improving your WBS templates -- Identifying Risks While Detailing Your Work -- Documenting What You Need to Know about Your Planned Project Work -- Relating This Chapter to the PMP Exam and PMBOK 7 -- Part 2 Planning Time: Determining When and How Much -- Chapter 7 You Want This Project Done When? …”

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Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Contributors -- Table of Contents -- Preface -- Part 1: Foundational and Navigation Basics for Affinity Photo -- Chapter 1: Fundamentals of Vector versus Raster Art and Basics of the Interface -- Technical requirements -- Differentiating between raster (pixel) and vector-based images -- Why you would use one over the other, and how to choose the correct type of art -- Understanding DPI and why it matters -- Understanding the role image size plays in image quality -- Understanding color profile and how it factors into your image -- RGB -- CMYK -- The six areas of the Affinity Photo Interface -- Summary -- Chapter 2: Opening Your First Document -- Bringing in an existing photo into Affinity Photo for editing -- Creating a new document for a project -- Placing an image into an existing project -- Resizing the document you just created -- When you want to change the document size -- When you want to change the canvas size -- Creating presets and templates for use in other projects -- Creating presets -- Creating templates -- Professional tips, tricks, and important points -- Summary -- Chapter 3: Layer Fundamentals - The Heart of Affinity Photo -- Technical requirements -- Understanding layers -- What is rasterizing a layer? …”

Tabla de Contenidos: “…Character strings -- CHARACTER -- CHARACTER VARYING -- CHARACTER LARGE OBJECT (CLOB) -- NATIONAL CHARACTER, NATIONAL CHARACTER VARYING, and NATIONAL CHARACTER LARGE OBJECT -- Binary strings -- BINARY -- BINARY VARYING -- BINARY LARGE OBJECT (BLOB) -- Booleans -- Datetimes -- DATE -- TIME WITHOUT TIME ZONE -- TIME WITH TIME ZONE -- TIMESTAMP WITHOUT TIME ZONE -- TIMESTAMP WITH TIME ZONE -- Intervals -- XML type -- ROW type -- Collection types -- ARRAY -- Multiset -- REF types -- JSON types -- User-defined types -- Distinct types -- Structured types -- Data type summary -- Handling Null Values -- Applying Constraints -- Column constraints -- NOT NULL -- UNIQUE -- CHECK -- Table constraints -- Foreign key constraints -- Assertions -- Book 2 Developing Relational Databases -- Chapter 1 System Development Overview -- The Components of a Database System -- The database -- The database engine -- The DBMS front end -- The database application -- The user -- The System Development Life Cycle -- Definition phase -- Requirements phase -- The users' data model -- Statement of Requirements -- Evaluation phase -- Determining project scope -- Reassessing feasibility -- Documenting the Evaluation phase -- Design phase -- Designing the database -- The database application -- Documenting the Design phase -- Implementation phase -- Final Documentation and Testing phase -- Testing the system with sample data -- Finalizing the documentation -- Delivering the results (and celebrating) -- Maintenance phase -- Chapter 2 Building a Database Model -- Finding and Listening to Interested Parties -- Your immediate supervisor -- The users -- The standards organization -- Upper management -- Building Consensus -- Gauging what people want -- Arriving at a consensus -- Building a Relational Model -- Reviewing the three database traditions -- Knowing what a relation is…”

Tabla de Contenidos: “…-- 4.1.1 Tools for questioning -- 4.1.2 Expanding your API design-testing techniques and tools -- 4.2 Using API documentation tools to test designs -- 4.2.1 Documenting APIs with Swagger/OpenAPI 3 -- 4.2.2 Beyond documentation -- 4.3 Encouraging teams to test API designs…”

Tabla de Contenidos: “…TESTIMONIOS PARA LA TRANFORMACIÓN DE LA REALIDAD ; PÁGINA LEGAL ; ÍNDICE ; INTRODUCCIÓN ; PRÓLOGO ; 1. RELATO DOCUMENTAL EN PRIMERA PERSONA COMO SUSTENTO DE LA RECONTRUCCIÓN DE LA HISTORIA DE LA ARGENTINA RECIENTE ; 2. …”
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Tabla de Contenidos: “…MEMORIA Y TRAUMA -- (AUTO)FICCIONES DE INFANCIA / EL SONIDO RECOBRADO / III. DOCUMENTAL Y FICCIÓN -- LA INDETERMINACIÓN EPISTÉMICA. …”