482 research outputs found
What’s the Use of a VLE?
Virtual Learning Environments (VLEs) have become an integral part of the technological furniture of higher education over the past two decades. While some VLE adopters have argued that the enhancement of teaching and learning is a key driver underpinning their use, an increasing number have described typical VLE usage as a “notes-bank approach”. However, while it is widely accepted that they are used primarily as content repositories, the actual value that they add to the teaching and learning process, and ultimately to the student experience, has not been widely questioned. So, in an age of increasing budgetary constraints, combined with the prioritisation of investment in appropriate technologies for higher education, it seems appropriate to scrutinise how the VLE is used and what value it has added. In 2013, at the Dublin Institute of Technology (DIT), we initiated a study which sought to find out how our academic staff were using the VLE as part of their teaching practice. Additionally, given the proliferation of emerging eLearning tools outside of the VLE, we wanted to find out if academics were aware of such technologies and if, or how, they were using them. Finally in order to inform future practice and strategic planning, we wanted to gain an insight into factors inhibiting or preventing staff from engaging with eLearning technologies. The results are not altogether surprising, indicating high levels of VLE usage among academics, albeit with limited pedagogical innovation underpinning this usage. Findings also demonstrated high levels of interest in, and awareness of, other technologies for teaching and learning: however only a small minority had actually used many of these as part of their academic practice, with high levels of reservation about time and effort involved in utilising such technologies to the full. This paper presents and discusses the key findings of this research and indicates possible ways forward for higher education in the digital age
Political Competition in a Model of Economic Growth; Some Theoretical Results
We study a one-sector model of economic growth in which decisions about capital accumulation and consumption are made through a political process of two candidate competition. Each voter's utility for a consumption stream is the discounted value of that voter's utility of consumption in each period. We consider the case when voters' one period utility functions for consumption are identical but discount factors are different. We are particularly interested in the conditions under which neoclassical optimal growth paths occur, and conditions in which political business cycles occur.
The answer depends on the ability or inability of the candidates to commit to multi-period investment strategies. If candidates can commit indefinitely into the future, then a political (majority rule) equilibrium path will not exist if all discount factors are different. For any feasible consumption path, there is a perturbation which is majority preferred to it. For any neoclassical optimal path there exists a perturbated path that is preferred to it either unanimously or by all but one voter. These results are true even if the perturbations can differ at no more than three consecutive periods from the original path.
If candidates are unable to commit to multi-period plans, we show there is a unique subgame perfect, stationary, symmetric equilibrium to the infinite horizon two candidate competition game; namely the optimal consumption path for the median voter. The equilibrium is unique in the following sense: It is the unique limit of subgame perfect equilibria to the finite horizon electoral game.
In the case when candidates can commit for a finite time into the future, we show that a stationary minmax path (a path which minimizes the maximum vote that can be obtained against it) yields a political business cycle
A review of important electroencephalogram features for the assessment of brain maturation in premature infants
This review describes the maturational features of the baseline electroencephalogram (EEG) in the neurologically healthy preterm infant. Features such as continuity, sleep state, synchrony and transient waveforms are described, even from extremely preterm infants and includes abundant illustrated examples. The physiological significance of these EEG features and their relationship to neurodevelopment are highlighted where known. This review also demonstrates the importance of multichannel conventional EEG monitoring for preterm infants as many of the features described are not apparent if limited channel EEG monitors are used. Conclusion: This review aims to provide healthcare professionals in the neonatal intensive care unit with guidance on the more common normal maturational features seen in the EEG of preterm infants
Optimal partial-arcs in VMAT treatment planning
Purpose: To improve the delivery efficiency of VMAT by extending the recently
published VMAT treatment planning algorithm vmerge to automatically generate
optimal partial-arc plans.
Methods and materials: A high-quality initial plan is created by solving a
convex multicriteria optimization problem using 180 equi-spaced beams. This
initial plan is used to form a set of dose constraints, and a set of
partial-arc plans is created by searching the space of all possible partial-arc
plans that satisfy these constraints. For each partial-arc, an iterative
fluence map merging and sequencing algorithm (vmerge) is used to improve the
delivery efficiency. Merging continues as long as the dose quality is
maintained above a user-defined threshold. The final plan is selected as the
partial arc with the lowest treatment time. The complete algorithm is called
pmerge.
Results: Partial-arc plans are created using pmerge for a lung, liver and
prostate case, with final treatment times of 127, 245 and 147 seconds.
Treatment times using full arcs with vmerge are 211, 357 and 178 seconds. Dose
quality is maintained across the initial, vmerge, and pmerge plans to within 5%
of the mean doses to the critical organs-at-risk and with target coverage above
98%. Additionally, we find that the angular distribution of fluence in the
initial plans is predictive of the start and end angles of the optimal
partial-arc.
Conclusions: The pmerge algorithm is an extension to vmerge that
automatically finds the partial-arc plan that minimizes the treatment time.
VMAT delivery efficiency can be improved by employing partial-arcs without
compromising dose quality. Partial arcs are most applicable to cases with
non-centralized targets, where the time savings is greatest
Hypercapnic Acidosis Reduces Oxidative Reactions in Endotoxin-Induced Lung Injury
Hypercapnic acidosis frequently occurs when patients with acute lung injury are initially ventilated with low tidal volume protective strategies. Hypercapnic acidosis per se, in the absence of any change in tidal volume or airway pressure, is protective when instituted before the onset of injury. However, the mechanisms by which hypercapnic acidosis confers this protection are incompletely understood, in particular, the effects on pulmonary oxidative reactions, which are potent mediators of tissue damage, have not been previously examined in vivo
A standardised assessment scheme for conventional EEG in preterm infants
Objective: To develop a standardised scheme for assessing normal and abnormal electroencephalography (EEG) features of preterm infants. To assess the interobserver agreement of this assessment scheme. Methods: We created a standardised EEG assessment scheme for 6 different post-menstrual age (PMA) groups using 4 EEG categories. Two experts, not involved in the development of the scheme, evaluated this on 24 infants <32 weeks gestational age (GA) using random 2 hour EEG epochs. Where disagreements were found, the features were checked and modified. Finally, the two experts independently evaluated 2 hour EEG epochs from an additional 12 infants <37 weeks GA. The percentage of agreement was calculated as the ratio of agreements to the sum of agreements plus disagreements. Results: Good agreement in all patients and EEG feature category was obtained, with a median agreement between 80% and 100% over the 4 EEG assessment categories. No difference was found in agreement rates between the normal and abnormal features (p = 0.959). Conclusions: We developed a standard EEG assessment scheme for preterm infants that shows good interobserver agreement. Significance: This will provide information to Neonatal Intensive Care Unit (NICU) staff about brain activity and maturation. We hope this will prove useful for many centres seeking to use neuromonitoring during critical care for preterm infants
DIT Programme Re-Design initiatives in Case Studies of Programme OF/FOR/AS Learning Assessment Approaches.
The Programme Re-Design Initiative process differs from other team based methods in that it adopts an holistic approach to programme design. Initiatives aim to develop the practice of curriculum design and development in expanded, multi-disciplinary teams. This process is based on the Oxford Brookes University CDI Model and links to the Deakin University Live the Future: Course Intensives
Political Competition in a Model of Economic Growth; Some Theoretical Results
We study a one-sector model of economic growth in which decisions about capital accumulation and consumption are made through a political process of two candidate competition. Each voter's utility for a consumption stream is the discounted value of that voter's utility of consumption in each period. We consider the case when voters' one period utility functions for consumption are identical but discount factors are different. We are particularly interested in the conditions under which neoclassical optimal growth paths occur, and conditions in which political business cycles occur.
The answer depends on the ability or inability of the candidates to commit to multi-period investment strategies. If candidates can commit indefinitely into the future, then a political (majority rule) equilibrium path will not exist if all discount factors are different. For any feasible consumption path, there is a perturbation which is majority preferred to it. For any neoclassical optimal path there exists a perturbated path that is preferred to it either unanimously or by all but one voter. These results are true even if the perturbations can differ at no more than three consecutive periods from the original path.
If candidates are unable to commit to multi-period plans, we show there is a unique subgame perfect, stationary, symmetric equilibrium to the infinite horizon two candidate competition game; namely the optimal consumption path for the median voter. The equilibrium is unique in the following sense: It is the unique limit of subgame perfect equilibria to the finite horizon electoral game.
In the case when candidates can commit for a finite time into the future, we show that a stationary minmax path (a path which minimizes the maximum vote that can be obtained against it) yields a political business cycle
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