Transition from traditional teacher-centered models, focusing on curricula description and content plans, to student-centered models, in which learning activities are supported in e-learning platforms, is not an easy task to resolve. This issue is especially important when the knowledge is emergent, i.e. when the activities that this knowledge enables are intensively supported by information an...

Linear programming duality yields e,cient algorithms for solving inverse linear programs. We show that special classes of conic programs admit a similar duality and, as a consequence, establish that the corresponding inverse programs are e,ciently solvable. We discuss applications of inverse conic programming in portfolio optimization and utility function identi0cation. c © 2004 Elsevier B.V. A...

In the portfolio selection problem, the manager considers several objectives simultaneously such as the rate of return, the liquidity and the risk of portfolios. These objectives are conflicting and incommensurable. Moreover, the objectives can be imprecise. Generally, the portfolio manager seeks the best combination of the stocks that meets his investment objectives. The imprecise Goal Program...

abstract portfolio definition is the most important decision for individuals and legal persons that invest in stock. the main objective of this paper is study and determination of optimal portfolio for stock of active food industrial company in tehran stock based on value at risk (var) index. for this purpose, we used weekly static of stock of active food industrial company in tehran from bahma...

despite the growing use of evolutionary multi-objective optimization algorithms in different categories of science, these algorithms as a powerful tool in portfolio optimization and specially solving multi-objective portfolio optimization problem is still in its early stages. in this paper, moeas have been used for solving multi-objective portfolio optimization problem in tehran stock market. f...

AN NHS trust has set up a quality assurance panel and created an e-portfolio in a bid to ensure its nurses are prepared for the nursing regulator's revalidation model.

In mathematical finance, backtest overfitting connotes the usage of historical market data to develop an investment strategy, where too many variations of the strategy are tried, relative to the amount of data available. Backtest overfitting is now thought to be a primary reason why investment models and strategies that look good on paper often disappoint in practice. Models and strategies suff...

Reading skill is a fundamental requirement to lifelong learner success, yet the way teachers assess their student’s reading comprehension ability is challenging. One of the new trends in reading skill instruction is portfolio assessment. This study investigated the effects of portfolio assessment on EFL learner’s reading comprehension ability. The participants, 50 advanced (female) EFL learners...

Objective This paper aims to integrate nurse practitioner literature on competence and capability with post graduate and nursing literature on e‐portfolios in order to demonstrate the potential merits of e‐portfolios in nurse practitioner education for competence and capability development. Primary Argument In the Nurse Practitioner Standards Project, competence and capability were proposed as ...

In risk analysis based on Bayesian framework, premium calculation requires specification of a prior distribution for the risk parameter in the heterogeneous portfolio. When the prior knowledge is vague, the E-Bayesian and robust Bayesian analysis can be used to handle the uncertainty in specifying the prior distribution by considering a class of priors instead of a single prior. In th...