Real Options Models without Single-Investment Threshold Behavior

This paper investigates real options models that violate the assumption of positive persistence of uncertainty. Without this fundamental assumption, existing methodologies are inadequate to address the firm's investment problem. To tackle this issue, we introduce a discrete-time version of a real options model and employ reinforcement learning, specifically Q-learning, to derive the optimal solution. Our findings reveal that in scenarios where the assumption of positive persistence of uncertainty is violated, the firm's investment behavior can exhibit disconnected investment regions

Relative equilibria and bifurcations in the generalized van der Waals 4-D oscillator

A uniparametric 4-DOF family of perturbed Hamiltonian oscillators in 1:1:1:1 resonance is studied as a generalization for several models for perturbed Keplerian systems. Normalization by Lie-transforms (only first order is considered here) as well as geometric reduction related to the invariants associated to the symmetries is used based on previous work of the authors. A description is given of the lower dimensional relative equilibria in such normalized systems. In addition bifurcations of relative equilibria corresponding to three dimensional tori are studied in some particular cases where we focus on Hamiltonian Hopf bifurcations and bifurcations in the 3-D van der Waals and Zeeman systems

Development and psychometric testing of the clinical leadership needs analysis (CLeeNA) instrument for nurses and midwives

Aim: The aim of this study is to report the development and psychometric testing of the clinical leadership needs analysis instrument (CLeeNA). Background: Limited emphasis is placed on the clinical leadership needs of nurses and midwives that are fundamental to supporting the delivery of high quality, safe patient care. Methods: A development and validation study of CLeeNA was undertaken using cross-sectional data. A sample of 324 registered nurses and midwives completed the questionnaire using a 7-point adjectival scale. Principal component analysis was conducted to explore scale grouping of items (n = 103 items). Results: Principal component analysis, item reduction and parallel analysis on the items of the instrument resulted in seven factors consisting of 56 items. These factors were identified as: Staff and Care Delivery; Technology and Care Initiatives; Self and Team Development; Standards of Care; Financial and Service Management; Leadership and Clinical Practice; Patient Safety and Risk Management. Conclusion: The identified factors are reflective of an ever-changing health care environment. Implications for Nursing Management: Potentially, after further testing, this instrument could be used by nursing management and educators to measure clinical leadership needs, inform the design of clinical leadership training programmes and provide valuable information about health care leadership development

Phosphoprotein enrichment from soluble and microsomal fractions of grapevine (vitis vinifera cv. gamay) cell culture using metal oxide affinity chromatography (MOAC)

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