Testing a model for developing, implementing and evaluating a strategy to improve the quality of nursing and midwifery care in an acute hospital trust.

Abstract:
Background: Health care organisations
worldwide are faced with the need to develop
and implement strategic organisational plans
to meet the challenges of modern health care.
There is a need for models for developing, implementing and evaluating strategic plans that engage practitioners, and make a measurable difference to the patients that they serve. These presentations describe the development, implementation and evaluation of such a model by a team of senior nurses and practice developers, to underpin a strategy for nursing and midwifery in an acute hospital trust. Developing a Strategy The PARIHS (Promoting Action on Research Implementation in Health Services) conceptual framework (Kitson et al, 1998) proposes that successful implementation of change in practice is a function of the interplay of three core elements: the level of evidence supporting the proposed change; the context or environment in which the change takes place, and the way in which change is facilitated. We chose to draw on this framework to develop our strategy and implementation plan (O’Halloran, Martin and Connolly, 2005). At the centre of the plan are ward managers. These professionals provide leadership for the majority of staff in the trust and so were seen to be a key group in the implementation process.

Voltage and power quality improvement strategy for a DFIG wind turbine during variable wind conditions

This paper presents a voltage and power quality enhancement scheme for a doubly-fed induction generator (DFIG) wind farm during variable wind conditions. The wind profiles were derived considering the measured data at a DFIG wind farm located in Northern Ireland (NI). The aggregated DFIG wind farm model was validated using measured data at a wind farm during variable generation. The voltage control strategy was developed considering the X/R ratio of the wind farm feeder which connects the wind farm and the grid. The performance of the proposed strategy was evaluated for different X/R ratios, and wind profiles with different characteristics. The impact of flicker propagation along the wind farm feeder and effectiveness of the proposed strategy is also evaluated with consumer loads connected to the wind farm feeder. It is shown that voltage variability and short-term flicker severity is significantly reduced following implementation of the novel strategy described.

An improved TLBO with elite strategy for parameters identification of PEM fuel cell and solar cell models

Clean and renewable energy generation and supply has drawn much attention worldwide in recent years, the proton exchange membrane (PEM) fuel cells and solar cells are among the most popular technologies. Accurately modeling the PEM fuel cells as well as solar cells is critical in their applications, and this involves the identification and optimization of model parameters. This is however challenging due to the highly nonlinear and complex nature of the models. In particular for PEM fuel cells, the model has to be optimized under different operation conditions, thus making the solution space extremely complex. In this paper, an improved and simplified teaching-learning based optimization algorithm (STLBO) is proposed to identify and optimize parameters for these two types of cell models. This is achieved by introducing an elite strategy to improve the quality of population and a local search is employed to further enhance the performance of the global best solution. To improve the diversity of the local search a chaotic map is also introduced. Compared with the basic TLBO, the structure of the proposed algorithm is much simplified and the searching ability is significantly enhanced. The performance of the proposed STLBO is firstly tested and verified on two low dimension decomposable problems and twelve large scale benchmark functions, then on the parameter identification of PEM fuel cell as well as solar cell models. Intensive experimental simulations show that the proposed STLBO exhibits excellent performance in terms of the accuracy and speed, in comparison with those reported in the literature.

Aquatic invasive alien species – top issues for their management. Outcomes from the IFI/EIFAAC conference “Freshwater Invasives – Networking for Strategy”

In November 2014, a new EU Regulation to address Invasive Alien Species (IAS) and protect biodiversity was published. This entered into force across the EU in January 2015. The aim of the Regulation is to ‘prevent the introduction of, control or eradicate alien species which threaten ecosystems, habitats or species’. In an effort to provide focus to the Regulation prior to its publishing and to identify the major issues relating to Invasive Alien Species in Europe, the views of invasive species experts from around the world were sought. These were consolidated at an international conference (Freshwater Invasives - Networking for Strategy (FINS)) that was held in Ireland in April 2013. A major outcome from this meeting of experts was the production of the Top 20 IAS issues that relate primarily to freshwater habitats but are also directly relevant to marine and terrestrial ecosystems. This list will support policy makers throughout the EU as preparations are made to implement this important piece of legislation. A further outcome from the conference was the formation of an expert IAS Advisory Group to support EIFAAC in its work on invasive species

An Adaptive Predictive Control Strategy for RMPPT under Partially Shaded Conditions

As one of key technologies in photovoltaic converter control, Maximum Power Point Tracking (MPPT) methods can keep the power conversion efficiency as high as nearly 99% under the uniform solar irradiance condition. However, these methods may fail when shading conditions occur and the power loss can over as much as 70% due to the multiple maxima in curve in shading conditions v.s. single maximum point in uniformly solar irradiance. In this paper, a Real Maximum Power Point Tracking (RMPPT) strategy under Partially Shaded Conditions (PSCs) is introduced to deal with this kind of problems. An optimization problem, based on a predictive model which will change adaptively with environment, is developed to tracking the global maxima and corresponding adaptive control strategy is presented. No additional circuits are required to obtain the environment uncertainties. Finally, simulations show the effectiveness of proposed method.

International Coordination in Cross-Border Bank Bail-ins: Problems and Prospects

Bail-in is quickly becoming a predominant approach to banking resolution. The EU Bank Recovery Resolution Directive and the US Federal Deposit Insurance Corporation’s single point of entry strategy envisage creditors’ recapitalisations
to resolve a failing financial institution. However, this legislation focuses on the domestic aspects of bail-in, leaving the question of how it is applied
to a cross-border banking group open. Cross-border banking resolution has been historically subject to coordination failures, which have resulted in disorderly resolutions with dangerous systemic effects. The goal of this article is to assess whether bail-in is subject to the same coordination problems that affect other resolution tools, and to discuss the logic of international legal cooperation in bail-in policies. We demonstrate that, in spite of the evident benefit in terms of fiscal sustainability, bail-in suffers from complex coordination problems which, if not addressed, might lead to regulatory arbitrage and lengthy court battles, and, ultimately, may disrupt resolutions. We argue that only a binding legal regime can address those problems. In doing so, we discuss the recent Financial Stability
Board’s proposal on cross-border recognition of resolution action, and the role of international law in promoting cooperation in banking resolution.

Multiple robots formation manoeuvring and collision avoidance strategy

This paper presents a multiple robots formation manoeuvring and its collision avoidance strategy. The direction priority sequential selection algorithm is employed to achieve the raw path, and a new algorithm is then proposed to calculate the turning compliant waypoints supporting the multi-robot formation manoeuvre. The collision avoidance strategy based on the formation control is presented to translate the collision avoidance problem into the stability problem of the formation. The extension-decomposition-aggregation scheme is next applied to solve the formation control problem and subsequently achieve the collision avoidance during the formation manoeuvre. Simulation study finally shows that the collision avoidance problem can be conveniently solved if the stability of the constructed formation including unidentified objects can be satisfied.