Visiting Nurse Services of Newport and Bristol County: Increasing Program Awareness for the Help at Home Program

We came up with the idea of using a cost analysis to clearly demonstrate the advantage of home care vs. hospitalization. John Hopkins Bay view Medical Center conducted a study within their geriatrics unit to test their Hospital At Home program against typical on-site care at the hospital. The study was held over the course of 30 days involving hundreds of patients across three cities and the results were staggering. Not only was at home care 32% cheaper ($5,081 versus$7,480) but also overall customer satisfaction was significantly higher

Predicting batch queue job wait times for informed scheduling of urgent HPC workloads

There is increasing interest in the use of HPC machines for urgent workloads to help tackle disasters as they unfold. Whilst batch queue systems are not ideal in supporting such workloads, many disadvantages can be worked around by accurately predicting when a waiting job will start to run. However there are numerous challenges in achieving such a prediction with high accuracy, not least because the queue's state can change rapidly and depend upon many factors. In this work we explore a novel machine learning approach for predicting queue wait times, hypothesising that such a model can capture the complex behaviour resulting from the queue policy and other interactions to generate accurate job start times. For ARCHER2 (HPE Cray EX), Cirrus (HPE 8600) and 4-cabinet (HPE Cray EX) we explore how different machine learning approaches and techniques improve the accuracy of our predictions, comparing against the estimation generated by Slurm. We demonstrate that our techniques deliver the most accurate predictions across our machines of interest, with the result of this work being the ability to predict job start times within one minute of the actual start time for around 65\% of jobs on ARCHER2 and 4-cabinet, and 76\% of jobs on Cirrus. When compared against what Slurm can deliver, this represents around 3.8 times better accuracy on ARCHER2 and 18 times better for Cirrus. Furthermore our approach can accurately predicting the start time for three quarters of all job within ten minutes of the actual start time on ARCHER2 and 4-cabinet, and for 90\% of jobs on Cirrus. Whilst the driver of this work has been to better facilitate placement of urgent workloads across HPC machines, the insights gained can be used to provide wider benefits to users and also enrich existing batch queue systems and inform policy too.Comment: Preprint of article at the 2022 Cray User Group (CUG

Supercomputing with MPI meets the Common Workflow Language standards: an experience report

Use of standards-based workflows is still somewhat unusual by high-performance computing users. In this paper we describe the experience of using the Common Workflow Language (CWL) standards to describe the execution, in parallel, of MPI-parallelised applications. In particular, we motivate and describe the simple extension to the specification which was required, as well as our implementation of this within the CWL reference runner. We discuss some of the unexpected benefits, such as simple use of HPC-oriented performance measurement tools, and CWL software requirements interfacing with HPC module systems. We close with a request for comment from the community on how these features could be adopted within versions of the CWL standards.Comment: Submitted to 15th Workshop on Workflows in Support of Large-Scale Science (WORKS20

Metabolic Depression in Cunner (Tautogolabrus adspersus) Is Influenced by Ontogeny, and Enhances Thermal Tolerance

To examine the effect of ontogeny on metabolic depression in the cunner (Tautogolabrus adspersus), and to understand how ontogeny and the ability to metabolically depress influence this species' upper thermal tolerance: 1) the metabolic rate of 9°C-acclimated cunner of three size classes [0.2–0.5 g, young of the year (YOY); 3–6 g, small; and 80–120 g, large (adult)] was measured during a 2°C per day decrease in temperature; and 2) the metabolic response of the same three size classes of cunner to an acute thermal challenge [2°C h−1 from 10°C until Critical Thermal Maximum, CTMax] was examined, and compared to that of the Atlantic cod (Gadus morhua). The onset-temperature for metabolic depression in cunner increased with body size, i.e. from 5°C in YOY cunner to 7°C in adults. In contrast, the extent of metabolic depression was ∼80% (Q10 = ∼15) for YOY fish, ∼65% (Q10 = ∼8) for small fish and ∼55% (Q10 = ∼5) for adults, and this resulted in the metabolic scaling exponent (b) gradually increasing from 0.84 to 0.92 between 9°C to 1°C. All size classes of cunner had significantly (approximately 60%) lower routine metabolic rates at 10°C than Atlantic cod. However, there was no species' difference in the temperature-induced maximum metabolic rate, and this resulted in factorial metabolic scope values that were more than two-fold greater for cunner, and CTMax values that were 6–9°C higher (∼21 vs. 28°C). These results: 1) show that ontogeny influences the temperature of initiation and the extent of metabolic depression in cunner, but not O2 consumption when in a hypometabolic state; and 2) suggest that the evolution of cold-induced metabolic depression in this northern wrasse species has not resulted in a trade-off with upper thermal tolerance, but instead, an enhancement of this species' metabolic plasticity

UK public perceptions of shale gas hydraulic fracturing:The role of audience, message and contextual factors on risk perceptions and policy support

There is growing recognition of the need to understand public attitudes to energy sources, such as shale gas, and to feed these into decision-making. This study represents the first detailed UK experimental survey of public perceptions of shale gas fracking, including analysis of the effects of different messages and the relative influence of different audience, message and contextual factors on support and risk perceptions in respect of shale gas fracking. Using an online survey (N = 1457) of the UK public, we find considerable ambivalence about shale gas, but also greater awareness of potential risks than benefits. Prior knowledge is associated with more favourable attitudes, although demographics, political affiliation and environmental values are strongest influences on perceptions. When provided with environmental or economic information about shale gas, participants became more positive – irrespective of their prior values or whether information is framed in terms of losses or gains. As expected, prior attitudes predict how information is received, with more attitude change amongst the most ambivalent respondents. We conclude that additional information about shale gas is more likely to be effective changing attitudes if focussed on this ’undecided’ group. Studies of this type are important for policy makers and industry alike

Climate-relevant behavioral spillover and the potential contribution of social practice theory

Urgent and radical transition to lower-carbon forms of society is imperative to limit current and future climate change impacts. Behavioral spillover theory offers a way to catalyze broad lifestyle change from one behavior to another in ways that generate greater impacts than piecemeal interventions. Despite growing policy and research attention, the evidence for behavioral spillover and the processes driving the phenomenon are unclear. The literature is split between studies that provide evidence for positive spillover effects (where an intervention targeting an environmentally conscious behavior leads to an increase in another functionally related behavior) and negative spillover effects (where an intervention targeting an environmentally conscious behavior leads to a decrease in another functionally related behavior). In summarizing findings, particular attention is given to the implications for climate-relevant behaviors. While few examples of climate-relevant behavioral spillover exist, studies do report positive and negative spillovers to other actions, as well as spillovers from behavior to support for climate change policy. There is also some evidence that easier behaviors can lead to more committed actions. The potential contribution of social practice theory to understanding spillover is discussed, identifying three novel pathways to behavioral spillover: via carriers of practices, materiality, and through relationships between practices within wider systems of practice. In considering future research directions, the relatively neglected role of social norms is discussed as a means to generate the momentum required for substantial lifestyle change and as a way of circumventing obstructive and intransigent climate change beliefs