Preface Introduction Part I. Overseeing Democracy: 1. Vigilance, denunciation, evaluation 2. The overseers 3. The thread of history 4. Legitimacy conflicts Part II. The Sovereignty of Prevention: 5. From the right of resistance to complex sovereignty 6. Self-critical democracies 7. Negative politics Part III. The People as Judge: 8. Historical references 9. Almost legislators 10. The preference for judgement Part IV. Unpolitical Democracy: 11. The sense of powerlessness and symbols of depoliticization 12. The populist temptation 13. Lessons of unpolitical economy 14. Conclusion: the modern mixed regime.

Counter-Democracy: Politics in an Age of Distrust

https://uwe-repository.worktribe.com/preview/909609/1.%20ADVEI-D-16-00028R2.pdf

Big Data in the construction industry

This paper introduces a novel framework for combining scientific knowledge of physics-based models with neural networks to advance scientific discovery. This framework, termed as physics-guided neural network (PGNN), leverages the output of physics-based model simulations along with observational features to generate predictions using a neural network architecture. Further, this paper presents a novel framework for using physics-based loss functions in the learning objective of neural networks, to ensure that the model predictions not only show lower errors on the training set but are also scientifically consistent with the known physics on the unlabeled set. We illustrate the effectiveness of PGNN for the problem of lake temperature modeling, where physical relationships between the temperature, density, and depth of water are used to design a physics-based loss function. By using scientific knowledge to guide the construction and learning of neural networks, we are able to show that the proposed framework ensures better generalizability as well as scientific consistency of results.

Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling

The Role of Big Data and Predictive Analytics in Retailing

Documents the emergence of a pattern of political instability in Latin America. Traditional military coups have receded in the region, but elected presidents are still ousted from power as a result of recurrent crises. Aníbal Pérez-Liñán shows that presidential impeachment has become the main constitutional instrument employed by civilian elites to depose unpopular rulers. Based on detailed comparative research in five countries and extensive historical information, the book explains why crises without breakdown have become the dominant form of instability in recent years and why some presidents are removed from office while others survive in power. The analysis emphasizes the erosion of presidential approval resulting from corruption and unpopular policies, the formation of hostile coalitions in Congress, and the role of investigative journalism. This book challenges classic assumptions in studies of presidentialism and provides important insights for the fields of political communication, democratization, political behaviour, and institutional analysis. 

Presidential Impeachment and the New Political Instability in Latin America

The "Federal Appointments Process" provides a unique, comprehensive overview of the constitutional dynamics and significance of the federal appointments process throughout American history. Michael J. Gerhardt includes each American president's performance record regarding judicial and non-judicial appointments, accounts of virtually all the major confirmation contests and controversies, and discussion of relevant legal and constitutional questions. The "Federal Appointments Process" is an essential tool for understanding the selection and confirmation of presidential appointments. Michael J. Gerhardt is Arthur B. Hanson Professor of Law at the William & Mary School of Law. He is the author of "The Federal Impeachment Process: A Constitutional and Historical Analysis" and coauthor of "Constitutional Theory: Arguments and Perspectives".

The Federal Impeachment Process: A Constitutional and Historical Analysis

Introduction 1. The Patterns Of Supreme Court Precedent 2. Theories Of Precedent 3. The Golden Rule 4. Non-Judicial Precedent 5. The Multiple Functions Of Precedent 6. Super Precedent Conclusion: The Future Of Precedent Appendix Tables I-VII Afterword

The Power of Precedent

INTRO DUCTIO N .................................................................................... 905 I. THE MYTH OF THE PATH DEPENDENCY OF PRECEDENT .......... 909 A. The Implications of Social Science Research Against Path Dependency ......................................... 909 B. The Major Critiques of Attitudinal and Rational Choice Models of the Court ...................................... 912 C. The Forecasting Study ............................................... 920 II. THE REQUISITE PROPERTIES OF PATH DEPENDENCY ............... 922 A. Path Dependency Requires Permanence ................. 923 B. Path Dependency Requires Sequentialism ............... 925 C. Path Dependency Requires Consistency .................. 928 D. Path Dependency Requires Compulsion .................. 931 E. Path Dependency Requires Predictability ................ 933 III. THE LIMITED PATH DEPENDENCY OF PRECEDENT IN CONSTITUTIONAL ADJUDICATION ........................................... 937 A. Constitutional Design and Legal Indeterminacy ..... 938 B. The Significance of the Distinction Between Constitutional and Common Law Adjudication ...... 941 C. The Significance of Rules and Standards ................. 946 D. The Constitutional Significance of Entrenchm ent ............................................................ 950 E. The Significance of Changes in the Court's C om position ............................................................... 952

/pdf/the-limited-path-dependency-of-precedent-2ry81jbvi5.pdf

The Limited Path Dependency of Precedent

The Advice and Consent of the Senate

/pdf/the-role-of-precedent-in-constitutional-decisionmaking-and-3crm6o72es.pdf

The Role of Precedent in Constitutional Decisionmaking and Theory

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Michael J. Gerhardt

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