Pwning Level Bosses in MATLAB: Student Reactions to a Game-Inspired Computational Physics Course

We investigated student reactions to two computational physics courses incorporating several videogame-like aspects. These included use of gaming terminology such as "levels," "weapons," and "bosses"; a game-style point system linked to course grades; a self-paced schedule with no deadlines; a mastery design in which only entirely correct attempts earn credit, but students can retry until they succeed; immediate feedback via self-test code; an assignment progression from "minions" (small, focused tasks) to "level bosses" (integrative tasks); and believable, authentic assignment scenarios. Through semi-structured interviews and course evaluations, we found that a majority of students considered the courses effective and the game-like aspects beneficial. In particular, many claimed that the point system increased their motivation; the self-paced nature caused them to reflect on their self-discipline; the possibility and necessity of repeating assignments until perfect aided learning; and the authentic tasks helped them envision using course skills in their professional futures.Comment: Accepted for publication in the proceedings of the 2014 Physics Education Research Conference (PERC

Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset

CRU TS (Climatic Research Unit gridded Time Series) is a widely used climate dataset on a 0.5 degrees latitude by 0.5 degrees longitude grid over all land domains of the world except Antarctica. It is derived by the interpolation of monthly climate anomalies from extensive networks of weather station observations. Here we describe the construction of a major new version, CRU TS v4. It is updated to span 1901-2018 by the inclusion of additional station observations, and it will be updated annually. The interpolation process has been changed to use angular-distance weighting (ADW), and the production of secondary variables has been revised to better suit this approach. This implementation of ADW provides improved traceability between each gridded value and the input observations, and allows more informative diagnostics that dataset users can utilise to assess how dataset quality might vary geographically

Dirichlet multinomial mixtures: generative models for microbial metagenomics

We introduce Dirichlet multinomial mixtures (DMM) for the probabilistic modelling of microbial metagenomics data. This data can be represented as a frequency matrix giving the number of times each taxa is observed in each sample. The samples have different size, and the matrix is sparse, as communities are diverse and skewed to rare taxa. Most methods used previously to classify or cluster samples have ignored these features. We describe each community by a vector of taxa probabilities. These vectors are generated from one of a finite number of Dirichlet mixture components each with different hyperparameters. Observed samples are generated through multinomial sampling. The mixture components cluster communities into distinct ‘metacommunities’, and, hence, determine envirotypes or enterotypes, groups of communities with a similar composition. The model can also deduce the impact of a treatment and be used for classification. We wrote software for the fitting of DMM models using the ‘evidence framework’ (http://code.google.com/p/microbedmm/). This includes the Laplace approximation of the model evidence. We applied the DMM model to human gut microbe genera frequencies from Obese and Lean twins. From the model evidence four clusters fit this data best. Two clusters were dominated by Bacteroides and were homogenous; two had a more variable community composition. We could not find a significant impact of body mass on community structure. However, Obese twins were more likely to derive from the high variance clusters. We propose that obesity is not associated with a distinct microbiota but increases the chance that an individual derives from a disturbed enterotype. This is an example of the ‘Anna Karenina principle (AKP)’ applied to microbial communities: disturbed states having many more configurations than undisturbed. We verify this by showing that in a study of inflammatory bowel disease (IBD) phenotypes, ileal Crohn's disease (ICD) is associated with a more variable community

Heavy Quark Production at HERA

Heavy flavour production is one of the key components of the HERA II physics programme. While most of the results presented use leptons or the reconstruction of charmed mesons to identify heavy flavour production, both the H1 and ZEUS experiments now have working microvertex detectors that are being used more and more. In this talk I will summarise a selection of the recent results obtained by the two collaborations.Comment: 10 pages, 18 figures, to appear in the Proceedings of the 8th International Conference on Hyperons, Charm and Beauty Hadrons (BEACH2008), 22-28 June 2008, University of South Carolina, Columbi

The impact of racism on indigenous health in Australia and Aotearoa: towards a research agenda

It is well established that Indigenous Australians and Māori have higher levels of ill health and mortality than non-Indigenous people. It is also clear that the disadvantage suffered by Indigenous peoples2 is associated with both historical and contemporary racism, colonisation and oppression. Both an ‘adequate state of health’ and ‘freedom from racism’ are rights enshrined in legislation in Australia and Aotearoa (New Zealand).3 Although several recent national and international reports have shown a link between racism and public health, there is little research on this topic in Australia or Aotearoa. In response to this paucity of research, the ‘Racism and Indigenous Health’ symposium was held at The University of Melbourne on 27 November 2007. This event brought together 35 key researchers and policy-makers from Australia and Aotearoa in the area of racism and Indigenous health to discuss recent findings in this field and to set an agenda for future research. The symposium endorsed a cohesive research agenda to advance our understanding of, and our ability to combat, racism as a threat to Indigenous health in Australia and Aotearoa. Five key research questions were identified from the symposium: • What is the prevalence and experience of racism across the life course for Indigenous peoples? • What impact does racism have on Indigenous health across the life course? • How can we appropriately assess systemic racism against Indigenous peoples? • What are the best ways to address systemic racism against Indigenous peoples? • How can an understanding of the ways in which societal systems produce advantage and positive health outcomes for White Australians and Pākehā New Zealanders help improve Indigenous health? These key questions focus on systemic racism, stressing the importance of further research on the prevalence of racism, its impact on Indigenous health and approaches to eliminating it from society. The symposium also highlighted the need to explore the benefits of racial socialisation (i.e. learning about the nature and ubiquity of racism in society) and to find effective ways to combat interpersonal racism against Indigenous peoples. Improvements in health system performance were supported as an approach to addressing systemic racism in health care, and the symposium emphasised the need to systematically estimate the cost of racism to society in Australia and Aotearoa. This discussion paper highlights the vital importance of sound research in endeavours to combat racism as a threat to Indigenous health in Australia and Aotearoa. We hope that this paper will act as an impetus to policy and decision-makers at the national, regional and local levels to engage in efforts to combat racism against Indigenous peoples as a public health intervention

Investigating the potential impact of 1.5, 2 and 3 °C global warming levels on crop suitability and planting season over West Africa

West African rainfed agriculture is highly vulnerable to climate variability and change. Global warming is projected to result in higher regional warming and have a strong impact on agriculture. This study specifically examines the impact of global warming levels (GWLs) of 1.5°, 2° and 3 °C relative to 1971–2000 on crop suitability over West Africa. We used 10 Coupled Model Intercomparison Project Phase5 Global Climate Models (CMIP5 GCMs) downscaled by Coordinated Regional Downscaling Experiment (CORDEX) Rossby Centre’s regional Atmospheric model version 4, RCA4, to drive Ecocrop, a crop suitability model, for pearl millet, cassava, groundnut, cowpea, maize and plantain. The results show Ecocrop simulated crop suitability spatial representation with higher suitability, observed to the south of latitude 14°N and lower suitability to its north for 1971–2000 for all crops except for plantain (12°N). The model also simulates the best three planting months within the growing season from September-August over the past climate. Projected changes in crop suitability under the three GWLs 1.5–3.0 °C suggest a spatial suitability expansion for legume and cereal crops, notably in the central southern Sahel zone; root and tuber and plantain in the central Guinea-Savanna zone. In contrast, projected decreases in the crop suitability index value are predicted to the south of 14°N for cereals, root and tuber crops; nevertheless, the areas remain suitable for the crops. A delay of between 1-3 months is projected over the region during the planting month under the three GWLs for legumes, pearl millet and plantain. A two month delay in planting is projected in the south, notably over the Guinea and central Savanna zone with earlier planting of about three months in the Savanna-Sahel zones. The effect of GWL2.0 and GWL3.0 warming in comparison to GWL1.5 °C are more dramatic on cereals and root and tuber crops, especially cassava. All the projected changes in simulated crop suitability in response to climatic variables are statistically significant at 99% confidence level. There is also an increasing trend in the projected crop suitability change across the three warming except for cowpea. This study has implications for improving the resilience of crop production to climate changes, and more broadly, to food security in West Africa