Tabla de Contenidos: “…-- The Practical Strain Distribution -- Determination of Stress From Strain -- Discretization of Cross-Section and Stress Field -- Computation of Final Stress Resultants -- The Use of General Stress Resultant Equations -- The Capacity Interaction Surface -- Generation of the Interaction Surface -- Simplified Procedure -- Extended Procedure -- Visualization and Interpretation -- The Moment-Moment Interaction Curve -- The Load-Moment (PM) Interaction Curves -- Capacity Reduction Factors -- Effect of Material Strengths and Section Depth on P-M Interaction of RC Sections -- Biaxial-Flexural Capacity -- The Definition of Biaxial Bending -- The Applied Eccentricity Vector -- The Applied Moment Vector -- The Resultant Moment Vector -- Computing Cross-Section Capacity Ratio -- Code-Based Design for Flexure -- Solved Examples -- Direct and Shear Stress on a Rotated Element -- Given -- Solution -- Result -- Principal Axes and Principal Stresses -- Given -- Solution -- Result -- Neutral Axis of the Sections -- Solution -- Result -- Solution (a) -- Result -- P-M Interaction Curve -- Given -- Solution -- Result -- Solution -- Result -- Solution -- Result -- Solution -- Result -- Given -- Solution -- Result -- The Demand-to-Capacity (D/C) Ratio -- Given -- Solution -- Result -- Effect of Reinforcement Ratio on PM Interaction Curves -- Solution -- Result -- Effect of Yield Strength on PM Interaction Curves -- Solution -- Result -- Unsolved Examples -- Symbols and Notations -- References -- Four. …”

Tabla de Contenidos: “…Approval of the design matrix -- Implementing a k-means clustering solution -- The vision -- The data -- The strategy -- The k-means clustering program -- The mathematical definition of k-means clustering -- The Python program -- Saving and loading the model -- Analyzing the results -- Bot virtual clusters as a solution -- The limits of the implementation of the k-means clustering algorithm -- Summary -- Questions -- Further reading -- Chapter 5: How to Use Decision Trees to Enhance K-Means Clustering -- Unsupervised learning with KMC with large datasets -- Identifying the difficulty of the problem -- NP-hard - the meaning of P -- NP-hard - the meaning of non-deterministic -- Implementing random sampling with mini-batches -- Using the LLN -- The CLT -- Using a Monte Carlo estimator -- Trying to train the full training dataset -- Training a random sample of the training dataset -- Shuffling as another way to perform random sampling -- Chaining supervised learning to verify unsupervised learning -- Preprocessing raw data -- A pipeline of scripts and ML algorithms -- Step 1 - training and exporting data from an unsupervised ML algorithm -- Step 2 - training a decision tree -- Step 3 - a continuous cycle of KMC chained to a decision tree -- Random forests as an alternative to decision trees -- Summary -- Questions -- Further reading -- Chapter 6: Innovating AI with Google Translate -- Understanding innovation and disruption in AI -- Is AI disruptive? …”

Tabla de Contenidos: “…Front Cover; Curves and Surfaces for CAGD: A Practical Guide; Copyright Page; Contents; Preface; Chapter 1. P. Bézier: How a Simple System Was Born; Chapter 2. …”

Tabla de Contenidos: “…PLANETARY OBSERVATIONS ON THE CAUSES OF NEURODEGENERATIVE DISEASES OF OLD AGE -- CLINICAL FEATURES OF WESTERN PACIFIC ALS/P-D -- WHAT IS THE CAUSE OF WESTERN PACIFIC ALS/P-D? …”

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Ressenya:

“…Dans une perspective résolument interdisciplinaire, ce livre interroge la pratique de l'écriture de l'histoire au Moyen Âge, entre remploi (la présence de documents, ou d'une réalité documentaire, dans le récit), référence (cette insertion venant, dans certains cas au moins, renforcer la fonction référentielle du langage) et autorité (cet usage autorisant le scripteur)."--P. [4] of cover…”