Material Damage Test for ILC Collimators

Simulations were completed to determine the energy deposition of an ILC bunch using FLUKA, Geant4 and EGS4 to a set of different spoiler designs. These shower simulations were used as inputs to thermal and mechanical studies using ANSYS. This paper presents a proposal to optimize the material choice and mechanical design of ILC spoilers jaws using ATF and benchmark the energy deposition simulations and the ANSYS studies giving the researchers valuable data which will help achieve a definitive ILC spoiler design

Global Asthma Network survey suggests more national asthma strategies could reduce burden of asthma

Background Several countries or regions within countries have an effective national asthma strategy resulting in a reduction of the large burden of asthma to individuals and society. There has been no systematic appraisal of the extent of national asthma strategies in the world. Methods The Global Asthma Network (GAN) undertook an email survey of 276 Principal Investigators of GAN centres in 120 countries, in 2013–2014. One of the questions was: “Has a national asthma strategy been developed in your country for the next five years? For children? For adults?”. Results Investigators in 112 (93.3%) countries answered this question. Of these, 26 (23.2%) reported having a national asthma strategy for children and 24 (21.4%) for adults; 22 (19.6%) countries had a strategy for both children and adults; 28 (25%) had a strategy for at least one age group. In countries with a high prevalence of current wheeze, strategies were significantly more common than in low prevalence countries (11/13 (85%) and 7/31 (22.6%) respectively, p < 0.001). Interpretation In 25% countries a national asthma strategy was reported. A large reduction in the global burden of asthma could be potentially achieved if more countries had an effective asthma strategy. © 2017 SEICA

Global Asthma Network survey suggests more national asthma strategies could reduce burden of asthma

Background Several countries or regions within countries have an effective national asthma strategy resulting in a reduction of the large burden of asthma to individuals and society. There has been no systematic appraisal of the extent of national asthma strategies in the world. Methods The Global Asthma Network (GAN) undertook an email survey of 276 Principal Investigators of GAN centres in 120 countries, in 2013–2014. One of the questions was: “Has a national asthma strategy been developed in your country for the next five years? For children? For adults?”. Results Investigators in 112 (93.3%) countries answered this question. Of these, 26 (23.2%) reported having a national asthma strategy for children and 24 (21.4%) for adults; 22 (19.6%) countries had a strategy for both children and adults; 28 (25%) had a strategy for at least one age group. In countries with a high prevalence of current wheeze, strategies were significantly more common than in low prevalence countries (11/13 (85%) and 7/31 (22.6%) respectively, p < 0.001). Interpretation In 25% countries a national asthma strategy was reported. A large reduction in the global burden of asthma could be potentially achieved if more countries had an effective asthma strategy. © 2017 SEICA

PLANNED INCAPACITY TO SUCCEED&quest; POLICY-MAKING STRUCTURE AND POLICY FAILURE

Policies may fail in two analytically distinct ways: they may fail to achieve their goals, or they may fail to retain political support and be terminated. By failing to distinguish between ineffectiveness and political failure, the three most common interpretations of the War on Poverty and the Comprehensive Employment and Training Act (failure owing to central government incompetence, failure owing to pluralism, and "hidden" success) cannot adequately account for the gap between their ambiguous performance and their clear political failure. To understand these differences, one must understand the effect of America's fragmented political structure on the design and implementation of poverty and unemployment remedies. Under resource constraints and given a large degree of policy discretion, American states in the aggregate have retained their historic resistance to social policies that would increase short-term expenditures and reduce the attractiveness of their business climate. These jurisdictions and their Congressional representatives opposed new fully nationalized initiatives, insisting on policy designs that promised fiscal relief while protecting state and local policy control. National policymakers found that grant-in-aid programs offered the path of least resistance in these circumstances. Although social policy grant programs could win initial approval in Congress, these designs proved to be increasingly unwieldy, expensive, and difficult to control in practice. The programs yielded ambiguous overall results but provided unambiguous examples of waste, fraud and abuse, fueling the perception of failure and contributing to the backlash against these programs and their political failure. Copyright 1988 by The Policy Studies Organization.

Disruption prediction with artificial intelligence techniques in tokamak plasmas

In nuclear fusion reactors, plasmas are heated to very high temperatures of more than 100 million kelvin and, in so-called tokamaks, they are confined by magnetic fields in the shape of a torus. Light nuclei, such as deuterium and tritium, undergo a fusion reaction that releases energy, making fusion a promising option for a sustainable and clean energy source. Tokamak plasmas, however, are prone to disruptions as a result of a sudden collapse of the system terminating the fusion reactions. As disruptions lead to an abrupt loss of confinement, they can cause irreversible damage to present-day fusion devices and are expected to have a more devastating effect in future devices. Disruptions expected in the next-generation tokamak, ITER, for example, could cause electromagnetic forces larger than the weight of an Airbus A380. Furthermore, the thermal loads in such an event could exceed the melting threshold of the most resistant state-of-the-art materials by more than an order of magnitude. To prevent disruptions or at least mitigate their detrimental effects, empirical models obtained with artificial intelligence methods, of which an overview is given here, are commonly employed to predict their occurrence—and ideally give enough time to introduce counteracting measures