Tabla de Contenidos: “…Environmental performance -- The economy has grown strongly in the last decade, but social and environmental outcomes have been uneven -- Efforts to build resilience to climate change impact have intensified but more investment is needed -- Costa Rica needs to strengthen the policy mix to achieve its ambitious climate targets by 2030 and 2050 -- Forests have helped mitigate growing GHG emissions from other sectors -- Climate mitigation action has improved, but the policy mix is limited in scope and stringency -- Costa Rica has raised its ambition towards a net-zero economy -- Sourcing power from renewables helps decarbonisation, but reducing energy consumption is a priority -- Costa Rica has made important strides towards the clean energy transition... -- ... but greater effort is needed to improve energy efficiency…”

Tabla de Contenidos: “…1 Introduction -- 2 SMLP Architecture -- 3 Symbolic Representation of Models and Constraints -- 4 Symbolic Representation of the ML Model Exploration -- 5 Problem Specification in SMLP -- 6 SMLP Exploration Modes of ML Models -- 6.1 Stable Parameter Synthesis -- 6.2 Verifying Assertions on a Model -- 6.3 Querying Conditions on the Model -- 6.4 Stable Optimized Synthesis -- 6.5 Design of Experiments -- 6.6 Root Cause Analysis -- 6.7 Model Refinement Loop -- 7 Implementation -- 8 Industrial Case Studies -- 9 Future Work -- References -- Avoiding the Shoals - A New Approach to Liveness Checking -- 1 Introduction -- 2 Preliminaries -- 2.1 Boolean Satisfiability -- 2.2 Boolean Transition Systems -- 2.3 Invariant Checking -- 2.4 Liveness Checking -- 3 Liveness Checking with rlive -- 3.1 Overview -- 3.2 Algorithm -- 3.3 Optimizations -- 3.4 Correctness Proof -- 4 Related Work -- 5 Evaluation -- 5.1 Experimental Setup -- 5.2 Experimental Results -- 6 Conclusions -- References -- Toward Liveness Proofs at Scale -- 1 Introduction -- 2 Background and Related Work -- 2.1 Liveness-to-Safety with Rankings -- 2.2 Dynamic Liveness-to-Safety Construction -- 3 Relational Rankings -- 3.1 The Relational Reactivity Rule -- 3.2 Chaining Liveness Lemmas -- 3.3 Stable Schedulers -- 3.4 Lexicographic Rankings -- 4 Case Study: The Apple Generic Memory Subsystem Model -- 4.1 Liveness Proof with Lemmas -- 4.2 Lemma-Free Proof of Liveness -- 5 Conclusions and Future Work -- A Soundness proofs -- References -- Software Verification -- Strided Difference Bound Matrices -- 1 Introduction and Motivation -- 2 DBMs, SDBMs, and HSDBMs -- 3 Satisfiability -- 3.1 GCD-Tightening Constraints -- 3.2 Satisfiability for HSDBMs in O(n4) Time -- 3.3 Satisfiability for SDBMs in O(n m Dlcm) Time -- 4 HSDBM Normalization -- 5 Operations for Abstract Interpretation -- 6 Empirical Study…”

Tabla de Contenidos: “…-- 11.2 The CIA triad -- 11.2.1 Confidentiality -- 11.2.2 Integrity -- 11.2.3 Availability -- 11.3 Establishing the top threats to an organization -- 11.4 Quantifying the impact of risks -- 11.4.1 Finances -- 11.4.2 Reputation -- 11.4.3 Productivity -- 11.5 Identifying threats and measuring vulnerability -- 11.5.1 The STRIDE threat-modeling framework -- 11.5.2 The DREAD threat-modeling framework -- 11.6 Rapid risk assessment -- 11.6.1 Gathering information -- 11.6.2 Establishing a data dictionary -- 11.6.3 Identifying and measuring risks -- 11.6.4 Making recommendations -- 11.7 Recording and tracking risks -- 11.7.1 Accepting, rejecting, and delegating risks -- 11.7.2 Revisiting risks regularly -- Summary -- Chapter 12: Testing security -- 12.1 Maintaining security visibility -- 12.2 Auditing internal applications and services -- 12.2.1 Web-application scanners -- 12.2.2 Fuzzing -- 12.2.3 Static code analysis -- 12.2.4 Auditing Cloud Infrastructure -- 12.3 Red teams and external pen testing -- 12.4 Bug bounty programs -- Summary -- Chapter 13: Continuous security…”

Tabla de Contenidos: “…3.2 Initial Measurements -- 3.3 Measurements Under Industrial Conditions -- 4 Layer 2 Tunnel Integration -- 4.1 Setup -- 4.2 Measurements -- 5 Outlook on Future 5G Mechanisms -- 6 Conclusion and Future Work -- References -- Vergleichende Untersuchung von PROFINET-Redundanzkonzepten für hochverfügbare Automatisierungssysteme -- 1 Grundlagen der Verfügbarkeit -- 1.1 Kenngrößen der Verfügbarkeit -- 1.2 Verfügbarkeitsberechnung -- 1.3 Verfügbarkeitsklassen -- 2 Topologiekonzepte für hochverfügbare Netzwerke und Systeme -- 2.1 Topologie 1: Nicht-redundantes PROFINET-Netzwerk -- 2.2 Topologie 2: Kombination von Medien- und S2 Systemredundanz -- 2.3 Topologie 3: Kombination von Medien- und R1 Systemredundanz -- 2.4 Topologie 4: Linientopologie mit Systemredundanz R2 -- 2.5 Prognostizierte Ausfallzeiten der Topologien -- 3 Fazit -- Literatur -- Sichere Kommunikation fur kollaborative Systeme -- 1 Einleitung -- 2 Betrachtete Use Cases und Architektur -- 2.1 Use Cases -- 2.2 Architektur -- 3 Zugehörige Arbeiten -- 4 STRIDE Analyse -- 4.1 Analyse -- 4.2 Sicherheitsanforderungen -- 4.3 Klassifikation von Verbindungen -- 5 Sicherheitskonzept -- 5.1 Geräte-Authentifizierung -- 5.2 Bedienerauthentifizierung -- 5.3 Widerruf von Zertifikaten -- 6 Zusammenfassung -- Literatur -- Systematic Test Environment for Narrowband IoT Technologies -- 1 Introduction -- 2 State of the Art -- 3 Systematic Test Environment for NB-IoT -- 3.1 Challenges and Requirements for Systematic Test Environment -- 3.2 Structure of Systematic Test Environment for NB-IoT -- 4 NB-IoT Performance Evaluation Results -- 4.1 System Tests -- 4.2 Protocol Tests -- 5 Conclusion and Outlook -- References -- CANopen Flying Master Over TSN -- 1 Introduction -- 2 State of the Art -- 2.1 CANopen Flying Master -- 2.2 PROFINET IO Redundancy -- 2.3 IEEE 802.1CB -- 2.4 Industrial 5G…”

Tabla de Contenidos: “…6.4.2.2 Gradient Tree Boosting -- 6.4.2.3 XGBoost -- 6.4.3 Stacking -- 6.5 Results -- 6.5.1 Bagging Meta Estimator -- 6.5.2 Random Forest -- 6.5.3 AdaBoost -- 6.5.4 Gradient Tree Boosting -- 6.5.5 XGBoost -- 6.5.6 Stacking -- 6.5.7 Comparison with Single Classifiers -- 6.6 Conclusion -- Acknowledgement -- References -- Chapter 7 Feature Engineering and Selection Approach Over Malicious Image -- 7.1 Introduction -- 7.2 Feature Engineering Techniques -- 7.2.1 Methodologies in Feature Engineering -- 7.2.2 Strides in Feature Engineering -- 7.2.3 Feature Extraction -- 7.2.4 Feature Selection -- 7.2.5 Feature Engineering in Image Processing -- 7.2.6 Importance of Feature Engineering in Image Processing -- 7.3 Malicious Feature Engineering -- 7.4 Image Processing Technique -- 7.4.1 Steps Involved in Image Processing Technique -- 7.4.2 Image Processing Task -- 7.4.2.1 Image Enhancement -- 7.4.2.2 Image Restoration -- 7.4.2.3 Coloring Image Processing -- 7.4.2.4 Wavelets Processing and Multiple Solutions -- 7.4.2.5 Image Compression -- 7.4.2.6 Character Recognition -- 7.4.2.7 Characteristics of Image Processing -- 7.5 Image Processing Techniques for Analysis on Malicious Images -- 7.6 Conclusion -- References -- Blog -- Chapter 8 Cubic-Regression and Likelihood Based Boosting GAM to Model Drug Sensitivity for Glioblastoma -- 8.1 Introduction -- 8.1.1 Glioblastoma -- 8.2 Literature Survey -- 8.3 Materials and Methods -- 8.3.1 Methodology -- 8.3.1.1 Generalized Additive Models (GAMs) -- 8.3.1.2 Model-Based Boosting - Boosted GAM -- 8.3.2 Datasets Description -- 8.4 Evaluations, Results and Discussions -- 8.4.1 Akaike Information Criterion (AIC) -- 8.4.2 Adjusted R-Squared -- 8.4.3 Discussion -- Conclusion -- References -- Chapter 9 Unobtrusive Engagement Detection through Semantic Pose Estimation and Lightweight ResNet for an Online Class Environment…”

“…Recently, there have been giant strides in…”

“…Romania's education system has made impressive strides over the past two decades, with an increasing share of students mastering the basic competencies that they need for life and work. …”

“…Croatia has made great strides in strengthening its regulatory policy framework. …”

“…Great strides have been made in the area of hydrogel science since the first hydrogels were described in the 1960s. …”

“…The volume proposes proactive strides toward stopping such violence. It addresses the role of alcohol and rape, includes the latest information on club drugs and drug-facilitated rape, and explores the special issues surrounding gay, lesbian and transgender violence. …”

Tabla de Contenidos: “…8.8 Summary -- Chapter 9: Overfitting -- 9.1 Model Capacity -- 9.2 Overfitting and Underfitting -- 9.2.1 Underfitting -- 9.2.2 Overfitting -- 9.3 Dataset Division -- 9.3.1 Validation Set and Hyperparameters -- 9.3.2 Early Stopping -- 9.4 Model Design -- 9.5 Regularization -- 9.5.1 L0 Regularization -- 9.5.2 L1 Regularization -- 9.5.3 L2 Regularization -- 9.5.4 Regularization Effect -- 9.6 Dropout -- 9.7 Data Augmentation -- 9.7.1 Rotation -- 9.7.2 Flip -- 9.7.3 Cropping -- 9.7.4 Generate Data -- 9.7.5 Other Methods -- 9.8 Hands-On Overfitting -- 9.8.1 Build the Dataset -- 9.8.2 Influence of the Number of Network Layers -- 9.8.3 Impact of Dropout -- 9.8.4 Impact of Regularization -- 9.9 References -- Chapter 10: Convolutional Neural Networks -- 10.1 Problems with Fully Connected N -- 10.1.1 Local Correlation -- 10.1.2 Weight Sharing -- 10.1.3 Convolution Operation -- 10.2 Convolutional Neural Network -- 10.2.1 Single-Channel Input and Single Convolution Kernel -- 10.2.2 Multi-channel Input and Single Convolution Kernel -- 10.2.3 Multi-channel Input and Multi-convolution Kernel -- 10.2.4 Stride Size -- 10.2.5 Padding -- 10.3 Convolutional Layer Implementation -- 10.3.1 Custom Weights -- 10.3.2 Convolutional Layer Classes -- 10.4 Hands-On LeNet-5 -- 10.5 Representation Learning -- 10.6 Gradient Propagation -- 10.7 Pooling Layer -- 10.8 BatchNorm Layer -- 10.8.1 Forward Propagation -- 10.8.2 Backward Propagation -- 10.8.3 Implementation of BatchNormalization layer -- 10.9 Classical Convolutional Network -- 10.9.1 AlexNet -- 10.9.2 VGG Series -- 10.9.3 GoogLeNet -- 10.10 Hands-On CIFAR10 and VGG13 -- 10.11 Convolutional Layer Variants -- 10.11.1 Dilated/Atrous Convolution -- 10.11.2 Transposed Convolution -- o + 2p − k = n * s -- o + 2p − k ≠n * s -- Matrix Transposition -- Transposed Convolution Implementation -- 10.11.3 Separate Convolution…”

“…The government of Slovenia has made great strides in regulatory policy, but challenges in implementation remain. …”

“…Although sexual psychophysiology has made great strides over the past few decades, the progress made has not been accompanied by much effort to integrate research findings or to stimulate methodological and theoretical discussions among researchers. …”

“…These insights have been inspired by major strides and exciting new developments in disciplines as far afield as ethol…”

“…In the last 15 years, the field of developmental psychopathology has made enormous strides in uncovering the mechanisms and processes underlying the emergence of mental illness and dysfunction. …”

“…Featuring the latest strides in talent development, such as social learning, hybrid training, creating videos, and more, it arms you with everything you need to upskill employees to be more effective, productive, satisfied, and loyal. …”

“…An analysis of Fortune 100 executives' career histories and demographics over the past 40 years shows where companies have made strides toward diversity at the top and where they can do better. …”

“…Many federal agencies have made huge strides to develop, fully utilize, and enhance the effectiveness of their most valuable resource: their workforce. …”

“…The great strides made over the past decade in the complexity and network functionality of embedded systems have significantly enhanced their attractiveness for use in critical applications such as medical devices and military communications. …”

“…Your one-stop resource for understanding current International Financial Reporting Standards As the International Accounting Standards Board (IASB) continues towards its goal of a set of high-quality financial reporting standards, and makes significant strides in achieving global convergence of accounting standards worldwide, International Financial Reporting Standards (IFRS) continue to be important to the accounting world. …”