FORTRAN program for calculating compressible laminar and turbulent boundary layers in arbitrary pressure gradients

FORTRAN program for calculating compressible laminar and turbulent boundary layers in arbitrary pressure gradient

FORTRAN program for computing coordinates of circular arc single and tandem turbomachinery blade sections on a plane

FORTRAN program for computing coordinates of circular arc single and tandem turbomachinery blade sections on plan

Vegetative States: Potatoes, Affordances, and Survival Ecologies

The potato has been critical to plant-human assemblages both in South America and in Europe. A study of the capacities, or affordances of this plant within diverse political economies highlights its mutability in some circumstances and vulnerability in others. The contrasts are stark. In South America, peasant agriculture took the potato across a large and diverse ecumene allowing its elaboration into many varieties and sustaining extensive state systems that taxed its production. Spanish colonialism repurposed the plant as the calorific basis for concentrations of coerced labor at silver mines. Back in Europe it was initially the resistance of the potato to state violence that encouraged peasants to turn over their fields to tuberous plant that ‘concealed’ its food underground. But its calorific productivity per acre again saw it repurposed as peasants were converted to proletarians, allowed to subsist on only the smallest plots while working for landlords on larger estates

The politics of self-help: The Rockefeller Foundation, philanthropy and the 'long' Green Revolution

While scholars of contemporary philanthropy have observed a concerted interest in the promotion of ‘self-help,’ little has been said about the political history of this investment and its significance in determining both domestic and international development priorities. We locate this modern conceptualisation of self-help in early twentieth-century philanthropic practice that sought to ‘gift’ to individuals and communities the precious habit of self-reliance and social autonomy. The Rockefeller Foundation promoted rural development projects that deliberately sought to ‘emancipate’ the tradition-bound peasant, transforming him or her into a productive, enterprising subject. We begin by documenting their early agricultural extension work, which attempted to spark agrarian change in the US South through the inculcation of modern habits and aspirations among farmers and their families. These agrarian schemes illustrate the newfound faith that ‘rural up-lift’ could only be sustained if farming communities were trained to ‘help themselves’ by investing physically and psychologically in the process of modernisation. We then locate subsequent attempts to incentivise and accelerate international agricultural development within the broader geopolitical imperatives of the Green Revolution and the Cold War. While US technical assistance undoubtedly sought to prevent political upheaval in the Third World, we argue that Rockefeller-led modernisation projects, based on insights gleaned from behavioural economics, championed a model of human capital – and the idea of ‘revolution within’ – in order to contain the threat of ‘revolution without’. Approaching agricultural development through this problematisation of the farmer reveals the ‘long history’ of the Green Revolution – unfolding from the domestic to the international and from the late nineteenth century to the present – as well as the continuing role of philanthropy in forging a new global order.A Philip Leverhulme Prize as well as Cambridge Humanities Research Grant awarded to Nally helped to support this research.This is the author accepted manuscript. The final version is available from Elsevier at http://dx.doi.org/10.1016/j.polgeo.2015.04.00

The identification of informative genes from multiple datasets with increasing complexity

Background In microarray data analysis, factors such as data quality, biological variation, and the increasingly multi-layered nature of more complex biological systems complicates the modelling of regulatory networks that can represent and capture the interactions among genes. We believe that the use of multiple datasets derived from related biological systems leads to more robust models. Therefore, we developed a novel framework for modelling regulatory networks that involves training and evaluation on independent datasets. Our approach includes the following steps: (1) ordering the datasets based on their level of noise and informativeness; (2) selection of a Bayesian classifier with an appropriate level of complexity by evaluation of predictive performance on independent data sets; (3) comparing the different gene selections and the influence of increasing the model complexity; (4) functional analysis of the informative genes. Results In this paper, we identify the most appropriate model complexity using cross-validation and independent test set validation for predicting gene expression in three published datasets related to myogenesis and muscle differentiation. Furthermore, we demonstrate that models trained on simpler datasets can be used to identify interactions among genes and select the most informative. We also show that these models can explain the myogenesis-related genes (genes of interest) significantly better than others (P < 0.004) since the improvement in their rankings is much more pronounced. Finally, after further evaluating our results on synthetic datasets, we show that our approach outperforms a concordance method by Lai et al. in identifying informative genes from multiple datasets with increasing complexity whilst additionally modelling the interaction between genes. Conclusions We show that Bayesian networks derived from simpler controlled systems have better performance than those trained on datasets from more complex biological systems. Further, we present that highly predictive and consistent genes, from the pool of differentially expressed genes, across independent datasets are more likely to be fundamentally involved in the biological process under study. We conclude that networks trained on simpler controlled systems, such as in vitro experiments, can be used to model and capture interactions among genes in more complex datasets, such as in vivo experiments, where these interactions would otherwise be concealed by a multitude of other ongoing events

Against food security: On forms of care and fields of violence

This paper addresses recent changes to the policy landscape on global food security. It argues that a new consensus is emerging on how to tackle (or more hubristically ‘end’) global hunger and spur agricultural development. The consensus I speak of is evident in recent briefings by the World Economic Forum (especially its ‘New Vision for Agriculture’), the ‘New Alliance for Food Security and Nutrition,’ initiated by the G-8 (now G-7), the Grow Africa network, the US government’s ‘Feed the Future’ programme, the philanthropy-led, Alliance for Green Revolution in Africa, not to mention the many flagship reports emanating from the International Financial Institutions as well key statements from global food retailers and leading agribusinesses. The paper argues that this ‘new vision’ for global agriculture is deeply problematic. Indeed the projected ‘solutions’ – in so far as they aim to radically transform agricultural life, especially in Africa – may well cause more harm than good. To put this argument more forcefully: what today is commonly called ‘food security’ is perhaps better seen as a way of subjugating the poor under the pretence of doing them good.I wish to acknowledge the generous support provided by a Philip Leverhulme Prize which enabled me to complete the research presented in this paper.This is the author accepted manuscript. The final version is available from Taylor & Francis via http://dx.doi.org/10.1080/13600826.2016.115870

Measurement of the Total Active 8B Solar Neutrino Flux at the Sudbury Neutrino Observatory with Enhanced Neutral Current Sensitivity

The Sudbury Neutrino Observatory (SNO) has precisely determined the total active (nu_x) 8B solar neutrino flux without assumptions about the energy dependence of the nu_e survival probability. The measurements were made with dissolved NaCl in the heavy water to enhance the sensitivity and signature for neutral-current interactions. The flux is found to be 5.21 +/- 0.27 (stat) +/- 0.38 (syst) x10^6 cm^{-2}s^{-1}, in agreement with previous measurements and standard solar models. A global analysis of these and other solar and reactor neutrino results yields Delta m^{2} = 7.1^{+1.2}_{-0.6}x10^{-5} ev^2 and theta = 32.5^{+2.4}_{-2.3} degrees. Maximal mixing is rejected at the equivalent of 5.4 standard deviations.Comment: Submitted to Phys. Rev. Let

Revival of the magnetar PSR J1622-4950: observations with MeerKAT, Parkes, XMM-Newton, Swift, Chandra, and NuSTAR

New radio (MeerKAT and Parkes) and X-ray (XMM-Newton, Swift, Chandra, and NuSTAR) observations of PSR J1622-4950 indicate that the magnetar, in a quiescent state since at least early 2015, reactivated between 2017 March 19 and April 5. The radio flux density, while variable, is approximately 100x larger than during its dormant state. The X-ray flux one month after reactivation was at least 800x larger than during quiescence, and has been decaying exponentially on a 111+/-19 day timescale. This high-flux state, together with a radio-derived rotational ephemeris, enabled for the first time the detection of X-ray pulsations for this magnetar. At 5%, the 0.3-6 keV pulsed fraction is comparable to the smallest observed for magnetars. The overall pulsar geometry inferred from polarized radio emission appears to be broadly consistent with that determined 6-8 years earlier. However, rotating vector model fits suggest that we are now seeing radio emission from a different location in the magnetosphere than previously. This indicates a novel way in which radio emission from magnetars can differ from that of ordinary pulsars. The torque on the neutron star is varying rapidly and unsteadily, as is common for magnetars following outburst, having changed by a factor of 7 within six months of reactivation.Comment: Published in ApJ (2018 April 5); 13 pages, 4 figure

Emerging infectious disease implications of invasive mammalian species : the greater white-toothed shrew (Crocidura russula) is associated with a novel serovar of pathogenic Leptospira in Ireland

The greater white-toothed shrew (Crocidura russula) is an invasive mammalian species that was first recorded in Ireland in 2007. It currently occupies an area of approximately 7,600 km2 on the island. C. russula is normally distributed in Northern Africa and Western Europe, and was previously absent from the British Isles. Whilst invasive species can have dramatic and rapid impacts on faunal and floral communities, they may also be carriers of pathogens facilitating disease transmission in potentially naive populations. Pathogenic leptospires are endemic in Ireland and a significant cause of human and animal disease. From 18 trapped C. russula, 3 isolates of Leptospira were cultured. However, typing of these isolates by standard serological reference methods was negative, and suggested an, as yet, unidentified serovar. Sequence analysis of 16S ribosomal RNA and secY indicated that these novel isolates belong to Leptospira alstonii, a unique pathogenic species of which only 7 isolates have been described to date. Earlier isolations were limited geographically to China, Japan and Malaysia, and this leptospiral species had not previously been cultured from mammals. Restriction enzyme analysis (REA) further confirms the novelty of these strains since no similar patterns were observed with a reference database of leptospires. As with other pathogenic Leptospira species, these isolates contain lipL32 and do not grow in the presence of 8-azagunaine; however no evidence of disease was apparent after experimental infection of hamsters. These isolates are genetically related to L. alstonii but have a novel REA pattern; they represent a new serovar which we designate as serovar Room22. This study demonstrates that invasive mammalian species act as bridge vectors of novel zoonotic pathogens such as Leptospira