An Intelligent Model to Track Students' Performance in Interactive Environments

2021 ◽  
Author(s):  
doaa mohamed elbourhamy
Keyword(s):  
Interactive Environments ◽  
Intelligent Model

Lending to the Borrower from Hell

2017 ◽  
Author(s):  
Mauricio Drelichman ◽  
Hans-Joachim Voth
Keyword(s):  
United States ◽  
Sixteenth Century ◽  
Sovereign Debt ◽  
Risk Sharing ◽  
The United States ◽  
Philip Ii ◽  
Loan Contracts ◽  
The Right ◽  
Intelligent Model ◽  
New Evidence

Why do lenders time and again loan money to sovereign borrowers who promptly go bankrupt? When can this type of lending work? As the United States and many European nations struggle with mountains of debt, historical precedents can offer valuable insights. This book looks at one famous case—the debts and defaults of Philip II of Spain. Ruling over one of the largest and most powerful empires in history, King Philip defaulted four times. Yet he never lost access to capital markets and could borrow again within a year or two of each default. Exploring the shrewd reasoning of the lenders who continued to offer money, the book analyzes the lessons from this historical example. Using detailed new evidence collected from sixteenth-century archives, the book examines the incentives and returns of lenders. It provides powerful evidence that in the right situations, lenders not only survive despite defaults—they thrive. It also demonstrates that debt markets cope well, despite massive fluctuations in expenditure and revenue, when lending functions like insurance. The book unearths unique sixteenth-century loan contracts that offered highly effective risk sharing between the king and his lenders, with payment obligations reduced in bad times. A fascinating story of finance and empire, this book offers an intelligent model for keeping economies safe in times of sovereign debt crises and defaults.

scholarly journals Device Parameter Extraction for Loss Analysis of Silicon Solar Cells Based on Intelligent Model Fitting

2018 ◽  
Vol 150 ◽  
pp. 21-27 ◽  
Author(s):  
Jian Wei Ho ◽  
Johnson Wong ◽  
Percis Teena Christopher Subhodayam ◽  
Kwan Bum Choi ◽  
Divya Ananthanarayanan ◽  
...  
Keyword(s):  
Solar Cells ◽  
Model Fitting ◽  
Parameter Extraction ◽  
Silicon Solar Cells ◽  
Loss Analysis ◽  
Device Parameter ◽  
Intelligent Model

scholarly journals Axiomatic Results for Weighted Allocation Rules under Multiattribute Situations

Mathematics ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 617
Author(s):  
Yu-Hsien Liao
Keyword(s):  
Bargaining Power ◽  
The Other ◽  
Target Type ◽  
Allocation Rule ◽  
Interactive Environments ◽  
Allocation Rules ◽  
Other Hand

In many interactive environments, operators may have to deal with different work objectives at the same time. In a realistic context, such as differences in the target type to be addressed, or changes in the behavior of other operators, operators may therefore have to cope with by adopting different work levels (strategies) at any given time. On the other hand, the importance or influence brought by operators may vary depending on many subjective and objective factors, such as the size of the constituency represented by a congressman, and the bargaining power of a business personnel which may vary. Therefore, it is reasonable that weights are apportioned to operators and arbitrary usability should be distributed according to these weights under various working levels and multiattribute situations. In pre-existing results for allocation rules, weights might be always apportioned to the “operators” or the “levels” to modify the differences among the operators or its working levels respectively. By applying weights to the operators and its working levels (strategies) simultaneously, we adopt the maximal marginal variations among working level (strategy) vectors to propose an allocation rule under multiattribute situations. Furthermore, we introduce some axiomatic outcomes to display the rationality for this weighted allocation rule. By replacing weights to be maximal marginal variations, a generalized index is also introduced.

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