Tabla de Contenidos: “…Staying Up to Date with SCMAdministrator's Punch List; Summary; Chapter 3:Deploying Directory Services and Certificate Services; Evolving Threats Against Certificates; Implementing Directory Services on Windows Server 2012; Installing the Active Directory Domain Services Role; Creating a New Forest with the Windows Server 2012 Server Manager; Implementing Certificate Services on Windows Server 2012; Planning AD CS Implementation; Certificate Authority (CA); Web Enrollment; Online Certificate Status Protocol Responder (OCSP); Network Device Enrollment Service (NDES)…”

Tabla de Contenidos: “…Chapter 2:Detecting Overstated Earnings Aggressive Revenue Recognition; Understatement or Deferral of Expenses; Classification of Non-Operating Income; Classification of Non-Operating Expenses; Parting Comments; Case Studies; Case Study 2.1: Longtop Financial (NYSE: LFT); Case Study 2.2: Sino-Forest; Case 2.3: Oriental Century; References; Chapter 3:Detecting Overstated Financial Position; Excluding Both Assets and Liabilities; Other Off-Balance-Sheet Financing/Liabilities; Overstating Assets; Overstating Valuation of Assets on the Balance Sheet…”

Tabla de Contenidos: “…WMI Filters: Fine-Tuning When and Where Group Policy AppliesGroup Policy Loopback Processing; Group Policy with Cross-Forest Trusts; Final Thoughts; Chapter 5: Group Policy Preferences; Powers of the Group Policy Preferences; Group Policy Preferences Architecture and Installation Instructions; Group Policy Preferences Concepts; Group Policy Preferences Tips, Tricks, and Troubleshooting; Final Thoughts; Chapter 6: Managing Applications and Settings Using Group Policy; Administrative Templates: A History and Policy vs. …”

Tabla de Contenidos: “…Preface -- Part 1: Essentials -- Chapter 1: Foundations -- Emotions -- Categorical -- Dimensional -- Sentiment -- Why emotion analysis is important -- Introduction to NLP -- Phrase structure grammar versus dependency grammar -- Rule-based parsers versus data-driven parsers -- Semantics (the study of meaning) -- Introduction to machine learning -- Technical requirements -- A sample project -- Logistic regression -- Support vector machines (SVMs) -- K-nearest neighbors (k-NN) -- Decision trees -- Random forest -- Neural networks -- Making predictions -- A sample text classification problem -- Summary -- References -- Part 2: Building and Using a Dataset -- Chapter 2: Building and Using a Dataset -- Ready-made data sources -- Creating your own dataset -- Data from PDF files -- Data from web scraping -- Data from RSS feeds -- Data from APIs -- Other data sources -- Transforming data -- Non-English datasets -- Evaluation -- Summary -- References -- Chapter 3: Labeling Data -- Why labeling must be high quality -- The labeling process -- Best practices -- Labeling the data -- Gold tweets -- The competency task -- The annotation task -- Buy or build? …”

Tabla de Contenidos: “…. / Foster + Partners ; Qatar Education City Convention Centre, Doha, Qatar / Arata Isozaki ; Melbourne Rectangular Stadium, Australia / Cox Architects ; Island City Central Park, Fukuoka, Japan / Toyo Ito ; The Pinnacle, London / Kohn Pedersen Fox ; Al Raha Development, Abu Dhabi / Foster + Partners ; Melbourne Recital Centre, Australia / Ashton Raggatt McDougall -- Topology : Möbius House, Het Gooi, Netherlands / UN Studio ; Arnhem Central, Arnhem, Netherlands / UN Studio ; Paramorph II, London / Decoi Architects ; Cape Schanck House; Blowhouse: Life support unit, Mornington Peninsula, Victoria, Australia / Paul Morgan Architects ; Slavin House, Venice, California / Greg Lynn ; Klein Bottle House, Mornington Peninsula, Victoria, Australia / McBride Charles Ryan ; Möbius Bridge, Bristol, UK / Hakes Associates ; Villa Nurbs, Girona, Spain / Cloud 9 Architecture ; National Museum of Australia, Canberra, Australia / Ashton Raggatt McDougall ; Metropolitan Opera House, Taichung, Taiwan / Toyo Ito -- Datascapes and multi-dimensionality : De Draai extension, Heerhugowaard, Netherlands / Karres En Brands ; freshHtwoOexpo, Zeeland, Netherlands / NOX Architects ; Streaming House, Melbourne, Australia / Minifie Nixon ; Aegis Hyposurface, Birmingham, UK / Decoi Architects ; Spoorg, Los Angeles / SERVO ; Hotel Prestige Forest, Barcelona, Spain / Cloud 9 Architecture ; Yas Hotel, Abu Dhabi, UAE / Asymptote ; Muscle ReConfigured + Interactive Wall, Delft, Netherlands / Hyperbody ; Digital Water Pavilion, Zaragoza, Spain / Carlo Ratti Associati…”

Tabla de Contenidos: “…Thompson and Soo Borson -- Geriatric bipolar disorder / Brent Forester, Francesca Cannavo Antognini, and Andrew Stoll -- Suicide in older adults / Paul R. …”

Tabla de Contenidos: “…To protect the Amazon, defend the people of the forest / Maria do Socorro Costa Silva -- 11. Of chainsaws and grace: Direct action by eco-vigilantes in the Philippines / Bobby Chan -- 12. …”

Tabla de Contenidos: “…Controlling memory size -- Heterogeneous lists -- From lists to multidimensional arrays -- Resizing arrays -- Arrays derived from NumPy functions -- Getting an array directly from a file -- Extracting data from pandas -- NumPy fast operation and computations -- Matrix operations -- Slicing and indexing with NumPy arrays -- Stacking NumPy arrays -- Working with sparse arrays -- Summary -- Chapter 3: The Data Pipeline -- Introducing EDA -- Building new features -- Dimensionality reduction -- The covariance matrix -- Principal component analysis -- PCA for big data - RandomizedPCA -- Latent factor analysis -- Linear discriminant analysis -- Latent semantical analysis -- Independent component analysis -- Kernel PCA -- T-SNE -- Restricted Boltzmann Machine -- The detection and treatment of outliers -- Univariate outlier detection -- EllipticEnvelope -- OneClassSVM -- Validation metrics -- Multilabel classification -- Binary classification -- Regression -- Testing and validating -- Cross-validation -- Using cross-validation iterators -- Sampling and bootstrapping -- Hyperparameter optimization -- Building custom scoring functions -- Reducing the grid search runtime -- Feature selection -- Selection based on feature variance -- Univariate selection -- Recursive elimination -- Stability and L1-based selection -- Wrapping everything in a pipeline -- Combining features together and chaining transformations -- Building custom transformation functions -- Summary -- Chapter 4: Machine Learning -- Preparing tools and datasets -- Linear and logistic regression -- Naive Bayes -- K-Nearest Neighbors -- Nonlinear algorithms -- SVM for classification -- SVM for regression -- Tuning SVM -- Ensemble strategies -- Pasting by random samples -- Bagging with weak classifiers -- Random Subspaces and Random Patches -- Random Forests and Extra-Trees…”

Tabla de Contenidos: “…Introducing second-order methods -- Summary -- Chapter 6: Deep Learning and Convolutional Neural Networks -- Technical requirements -- Understanding DL basic concepts -- Automated feature extraction -- Training a DNN -- Exploring DL models -- Approaching CNNs -- Convolutional layer -- Pooling layer -- ReLUs -- FC layer -- Building a CNN in MATLAB -- Exploring the model's results -- Discovering DL architectures -- Understanding RNNs -- Analyzing LSTM networks -- Introducing transformer models -- Summary -- Part 3: Machine Learning in Practice -- Chapter 7: Natural Language Processing Using MATLAB -- Technical requirements -- Explaining NLP -- NLA -- NLG -- Analyzing NLP tasks -- Introducing automatic processing -- Exploring corpora and word and sentence tokenizers -- Corpora -- Words -- Sentence tokenize -- Implementing a MATLAB model to label sentences -- Introducing sentiment analysis -- Movie review sentiment analysis -- Using an LSTM model for label sentences -- Understanding gradient boosting techniques -- Approaching ensemble learning -- Bagging definition and meaning -- Discovering random forest -- Boosting algorithms explained -- Summary -- Chapter 8: MATLAB for Image Processing and Computer Vision -- Technical requirements -- Introducing image processing and computer vision -- Understanding image processing -- Explaining computer vision -- Exploring MATLAB tools for computer vision -- Building a MATLAB model for object recognition -- Introducing handwriting recognition (HWR) -- Training and fine-tuning pretrained deep learning models in MATLAB -- Introducing the ResNet pretrained network -- The MATLAB Deep Network Designer app -- Interpreting and explaining machine learning models -- Understanding saliency maps -- Understanding feature importance scores -- Discovering gradient-based attribution methods -- Summary…”

Tabla de Contenidos: “…Chapter 8: Ensemble Learning -- Ensemble learning fundamentals -- Random forests -- Example of random forest with Scikit-Learn -- AdaBoost -- AdaBoost.SAMME -- AdaBoost.SAMME.R -- AdaBoost.R2 -- Example of AdaBoost with Scikit-Learn -- Gradient boosting -- Example of gradient tree boosting with Scikit-Learn -- Ensembles of voting classifiers -- Example of voting classifiers with Scikit-Learn -- Ensemble learning as model selection -- Summary -- Chapter 9: Neural Networks for Machine Learning -- The basic artificial neuron -- Perceptron -- Example of a perceptron with Scikit-Learn -- Multilayer perceptrons -- Activation functions -- Sigmoid and hyperbolic tangent -- Rectifier activation functions -- Softmax -- Back-propagation algorithm -- Stochastic gradient descent -- Weight initialization -- Example of MLP with Keras -- Optimization algorithms -- Gradient perturbation -- Momentum and Nesterov momentum -- SGD with momentum in Keras -- RMSProp -- RMSProp with Keras -- Adam -- Adam with Keras -- AdaGrad -- AdaGrad with Keras -- AdaDelta -- AdaDelta with Keras -- Regularization and dropout -- Dropout -- Example of dropout with Keras -- Batch normalization -- Example of batch normalization with Keras -- Summary -- Chapter 10: Advanced Neural Models -- Deep convolutional networks -- Convolutions -- Bidimensional discrete convolutions -- Strides and padding -- Atrous convolution -- Separable convolution -- Transpose convolution -- Pooling layers -- Other useful layers -- Examples of deep convolutional networks with Keras -- Example of a deep convolutional network with Keras and data augmentation -- Recurrent networks -- Backpropagation through time (BPTT) -- LSTM -- GRU -- Example of an LSTM network with Keras -- Transfer learning -- Summary -- Chapter 11: Autoencoders -- Autoencoders -- An example of a deep convolutional autoencoder with TensorFlow…”

Tabla de Contenidos: “…5.3 Project Development -- 5.4 Lesson Learned from the Project ``Reconversion of Abandoned Farmland ́ ́ -- 6 Conclusion -- References -- Part III: Sustainable Natural Resource Management: Theory and Practice -- Chapter 7: Theoretical Models as a Tool to Derive Management Strategies for Sustainable Natural Resource Management -- 1 Introduction -- 2 Connecting the Understanding of Mechanism for Human Cooperation to Strategies for Cooperation in Real Setting -- 2.1 Illegal Logging Suppression -- 2.2 Model -- 2.3 Findings -- 3 Incorporating Social and Ecological Knowledge: Coupled Dynamics for Sustainable Resource Management -- 3.1 Mongolian Rangeland Management -- 3.2 Model -- 3.3 Findings -- 4 Testing Influences of New Stakeholders in Resource Use -- 4.1 Tourists and Traditional Divers in a Common Fishing Ground -- 4.2 Model -- 4.3 Findings -- 5 Conclusion -- References -- Chapter 8: Environmental Concerns of the Pulp and Paper Industry: Focusing on Household and Sanitary Paper Products -- 1 Introduction -- 2 Methods -- 2.1 Survey 1: Visit and Interview APP Paper Mills -- 2.2 Survey 2: Market Survey of Household Paper Products -- 2.3 Survey 3: Interview with End Consumers -- 3 Results -- 3.1 Challenges for Major Paper Manufacturers in China -- 3.2 Difference in Market Penetration of Eco-friendly Household Paper Products in North and South China -- 3.3 University Students Value Environment More When Selecting Household Paper Products -- 4 Discussion -- References -- Chapter 9: Contribution of Community-Based Ecotourism to Forest Conservation and Local Livelihoods -- 1 Introduction -- 2 Chambok CBET -- 3 Contribution to Forest Conservation -- 4 Contribution of CBET to Household Income -- 5 Discussion and Conclusion -- References -- Part IV: Co-designs in a Disaster Recovery Process: Case Studies in the Area Affected by the Kumamoto Earthquake…”

Tabla de Contenidos: “…LA CRÍTICA RACIAL (...)EL EXOTISMO DESDEÑADO: LA MIRADA DISTANTE DE LAS CIENCIAS FÍSICAS; EL EXOTISMO RECUPERADO: ETNOGRAFÍA Y VIDA COTIDIANA; FILIPINAS DESDE LA ADMINISTRACIÓN MILITAR; FLORA Y FAUNA: ENTRE LA HISTORIA NATURAL Y LA ADMINISTRACIÓN FORESTAL; AGRICULTURA Y GANADERÍA: DE LAS ECONOMÍAS DE SUBSISTENCIA A UNA (...); INDUSTRIA Y COMERCIO: APOTEOSIS DE LAS ARTESANÍAS; EDUCACIÓN, CULTURA, CIENCIAS Y ARTES: ARGUMENTOS PARA EL COMBATE (...); LOS EXPOSITORES; VI EXHIBICIÓN Y ESPECTÁCULO (...); FIESTAS SALVAJES Y FESTEJOS OFICIALES; LA MUERTE DE LOS CAROLINOS…”

Tabla de Contenidos: “….); Historia reciente de la truficultura en España; La investigación y extensión en España; Asociacionismo; Perspectivas de futuro; Bibliografía; 2 Sostenibilidad de la truficultura: aspectos ecológicos, (...); Un cultivo forestal; Valor económico de la trufa. Producciones estimadas…”

Tabla de Contenidos: “…3 Población, estructura social y economíaA) Población y estructura social; B) Economía; 1) Las desamortizaciones del suelo en Liébana; 2) La agricultura y la ganadería; 3) La riqueza forestal; 4) La minería; 5) Otras industrias y actividades económicas y las comunicaciones; PARTE IV: LA SOCIEDAD ECONOMICA DE AMIGOS (...); Sobre las Sociedades Económicas de Amigos (...); 1 La Económica de Liébana: a modo de introducción; 2 Fundación y estatutos; 3 Socios y juntas directivas; 4 Proyectos y realizaciones en el siglo XIX; A) Proyectos vestidos de fomento público (...)…”

Tabla de Contenidos: “…Le mouvement doctrinal du XI au XIV siŁcle / AndrØ Forest, F. Van Steenberghen, M. de Gandillac -- v.15. …”

Tabla de Contenidos: “…Toyo Ito, The Works / Andrea Maffei -- Architecture Is No Longer "Architecture" Water Cube -- Sendai Mediatheque and Beyond / Koji Taki -- Aluminium House, Fujisava-shi, Kanagawa, 1970-71 -- White U, Nakano-ku, Tokyo, 1975-76 -- PMT Building Nagoya-shi, Haichi, 1976-78 -- House in Kasama, Kasama-shi, Ibaragi, 1980-81 -- Silver Hut, Nakano-ku, Tokyo, 1982-84 -- Pao I, Installation for "Pao: A Dwelling of Tokyo Nomad Woman", Seibu Department Store, Tokyo, 1985 -- House in Magomezawa, Funabashi-shi, Chiba, 1985-86 -- Project for the Exhibition "Furniture for Tokyo Nomad Women", Tokyo, 1986 -- Nomad Restaurant, Minato-ku, Tokyo, 1986 -- Tower of Winds, Yokohama-shi, Kanagawa, 1986 -- Yatsushiro Municipal Museum, Yatsushiro-shi, Kumamoto, 1988-91 -- Pao II, Exhibition for "Pao: A Dwelling for Tokyo Nomad Women", Brussels, Belgium, 1989 -- T Building in a Nakameguro, Meguro-ku, Tokyo, 1989-90 -- Gallery U in Yugawara, Yugawara-cho, Kanagawa, 1989-91 -- Project for the Maison de la culture du Japon, Paris, 1990 -- Gate of Okawabata River City 21, ("Egg of Winds") Chuo-ku, Tokyo, 1990-91 -- Shimosuwa Municipal Museum, Shimosuwa-cho, Nagano, 1990-93 -- "Visions of Japan" Exhibition, Victoria and Albert Museum, London, 1991 -- Hotel P, Shari-gun, Hokkaido, 1991-92 -- ITM Building in Matsuyama, Matsuyama-shi, Ehime, 1991-93 -- Planning and Urban Design for Luijazui Central Area, Shanghai, China 1992 -- Old People's Home in Yatsushiro, Yatsushiro-shi, Kumamoto, 1992-94 -- Yatsushiro Fire Station, Yatsushiro-shi, Kumamoto, 1992-95 -- Nagaoka Lyric Hall, Nagaoka-shi, Niigata, 1993-96 -- Dome in Odate, Odate-shi, Akita, 1993-97 -- Community and Day-care Centre in Yokohama, Yokohama-shi, Kanagawa, 1994-97 -- S House in Oguni, Oguni-cho, Kumamoto, 1995-96 -- Ota-ku Resort Complex in Nagano, Chiisagata-gun, Nagano, 1995-98 -- Notsuharu Town Hall, Notsuharu-machi, Oita, 1996-98 -- T Hall in Taisha, Taisha-cho, Shimane, 1996-99 -- Crystal Ballpark, Competition Project for Seoul Dome, Seoul 1997 -- Project for Redesigning the Waterfront of Thessaloniki, Thessaloniki, Greece 1997 -- T House in Yutenji, Setagaya-ku, Tokyo, 1997-99 -- Aluminium House in Sakurajosui, Setagaya-ku, Tokyo, 1997-2000 -- Sendai Mediatheque, Sendai-shi, Miyagi, 1997-2000 -- Project for the Trade Fair Centre, Hiroshima-shi, 1997- -- Project for the Extension of the Bank of International Settlements, Basel, 1998 -- "Health Futures" Installation at the Expo 2000, Hanover, 1998-2000 -- Groningen House, Project for a Residential Complex in Aluminium, Groningen, 1998-2001 -- Project for the Centre for the Contemporary Arts, Rome, 1999 -- Project for the l'Hopital Cognacq-Jay, Paris, 1999-(2004) -- Oita Agricultural Park, Hayami-gun, Oita, 2001 -- Project for Mahler 4 Office Block, Blok 5, Amsterdam, 2000-01 -- Chronology of Works -- Architecture in a Simulated City -- A Garden of Microchips -- Simple Lines for Le Corbusier -- The Image of Architecture in the Electronic Age -- Tarzans in the Media Forest -- Three Transparencies -- A Body Image Beyond the Modern: Is There Residential Architecture Without Criticism? …”

Tabla de Contenidos: “…(Asturias); Asunto: Reclasificación de 20,8 ha. de suelo forestal para transferencia de aprovechamientos del Área de Reconversión Territorial SÁrenal - Llucmajor. …”

Tabla de Contenidos: “…Concurrency Control Algorithms on Objects; 7.1 Goal and Overview; 7.2 Locking for Flat Object Transactions; 7.3 Layered Locking; 7.4 Locking on General Transaction Forests; 7.5 Hybrid Algorithms; 7.6 Locking for Return Value Commutativity and Escrow Locking; 7.7 Lessons Learned; Exercises; Bibliographic Notes; Chapter 8. …”

Tabla de Contenidos: “…""Chapter 7: Working with WebStart and the Browser Plugin""""Introduction""; ""Building the IcedTea browser plugin on Linux""; ""Using the IcedTea Java WebStart implementation on Linux""; ""Preparing the IcedTea Java WebStart implementation for Mac OS X""; ""Preparing the IcedTea Java WebStart implementation for Windows""; ""Chapter 8: Hacking OpenJDK""; ""Introduction""; ""Setting up the development environment with NetBeans""; ""Working with Mercurial forest""; ""Understanding OpenJDK 6 and 7 incremental builds""; ""Debugging Java code using NetBeans""…”

Tabla de Contenidos: “…Creating a predictive model using a random forest…”