Numerical Simulations of Hyperfine Transitions of Antihydrogen

One of the ASACUSA (Atomic Spectroscopy And Collisions Using Slow Antiprotons) collaboration's goals is the measurement of the ground state hyperfine transition frequency in antihydrogen, the antimatter counterpart of one of the best known systems in physics. This high precision experiment yields a sensitive test of the fundamental symmetry of CPT. Numerical simulations of hyperfine transitions of antihydrogen atoms have been performed providing information on the required antihydrogen events and the achievable precision

Communicating about risk: strategies for situations where public concern is high but the risk is low.

In this article, we summarise research that identifies best practice for communicating about hazards where the risk is low but public concern is high. We apply Peter Sandman’s ‘risk = hazard + outrage’ formulation to these risks, and review factors associated with the amplification of risk signals. We discuss the structures that determine the success of risk communication strategies, such as the capacity for early communication to ‘capture’ the dominant representation of risk issues, the importance of communicating uncertainty, and the usefulness of engaging with communities. We argue that, when facing trade-offs in probable outcomes from communication, it is always best to choose strategies that maintain or build trust, even at the cost of initial overreactions. We discuss these features of successful risk communication in relation to a range of specific examples, particularly opposition to community water fluoridation, Ebola, and routine childhood immunisation

Communicating with the public about the risks of naturally occurring asbestos.

Objectives: To explore the application of evidence based risk communication to community messaging about naturally occurring asbestos (NOA). Type of program or service: Risk communication education about NOA. Methods: We apply principles and determinants of risk communication to the topic of NOA. Results: We emphasise the importance of erring on the side of transparency and trust, even when officials may be concerned about inadvertently heightening needless public concern. We offer a range of practical suggestions for how to lower public concern and outrage relating to the issue of NOA when it arises in local contexts. Lessons learnt: Public concern and outrage can be reduced by favouring early and frequent communication, awareness and use of the ‘rule of threes’ in media communication, open acknowledgement of uncertainty, prioritising response to community concern above narrow myth-busting strategies, and supporting community action. Key points • Governments need to be patient with communities and willing to invest the time for public discussion of community concerns • Regardless of how well crafted a risk communication strategy is, the communicator cannot control how a message will be received • Public concern and outrage can be reduced by actions such as favouring early and frequent communication, open acknowledgement of uncertainty, and supporting community actio

Abstract Argumentation / Persuasion / Dynamics

The act of persuasion, a key component in rhetoric argumentation, may be viewed as a dynamics modifier. We extend Dung's frameworks with acts of persuasion among agents, and consider interactions among attack, persuasion and defence that have been largely unheeded so far. We characterise basic notions of admissibilities in this framework, and show a way of enriching them through, effectively, CTL (computation tree logic) encoding, which also permits importation of the theoretical results known to the logic into our argumentation frameworks. Our aim is to complement the growing interest in coordination of static and dynamic argumentation.Comment: Arisaka R., Satoh K. (2018) Abstract Argumentation / Persuasion / Dynamics. In: Miller T., Oren N., Sakurai Y., Noda I., Savarimuthu B., Cao Son T. (eds) PRIMA 2018: Principles and Practice of Multi-Agent Systems. PRIMA 2018. Lecture Notes in Computer Science, vol 11224. Springer, Cha

Analysis of Dialogical Argumentation via Finite State Machines

Dialogical argumentation is an important cognitive activity by which agents exchange arguments and counterarguments as part of some process such as discussion, debate, persuasion and negotiation. Whilst numerous formal systems have been proposed, there is a lack of frameworks for implementing and evaluating these proposals. First-order executable logic has been proposed as a general framework for specifying and analysing dialogical argumentation. In this paper, we investigate how we can implement systems for dialogical argumentation using propositional executable logic. Our approach is to present and evaluate an algorithm that generates a finite state machine that reflects a propositional executable logic specification for a dialogical argumentation together with an initial state. We also consider how the finite state machines can be analysed, with the minimax strategy being used as an illustration of the kinds of empirical analysis that can be undertaken.Comment: 10 page

Invasive Haemophilus influenzae type b disease in elderly nursing home residents: two related cases.

We investigated two fatal cases of invasive Haemophilus influenzae type b (Hib) infection in a community nursing home in western Sydney, Australia. Two elderly women had lived in the same room, and the onset of their illness was 5 days apart. Hib isolates from blood cultures showed identical profiles by pulsed field gel electrophoresis. These findings suggest that Hib infection was transmitted within this nursing home. Serious Hib disease may be underrecognized in this setting. Continued surveillance and serotyping of invasive H. influenzae disease is essential for identifying groups at increasing risk that may benefit from immunization against Hib

in-silico and in-vitro analysis of IL36RN mutations reveals critical residues for the function of the interleukin-36 receptor complex

Generalized pustular psoriasis (GPP) is a potentially life-threatening skin disease, associated with IL36RN mutations. IL36RN encodes the interleukin (IL)-36 receptor antagonist (IL-36Ra), a protein that downregulates the activity of IL-36 cytokines by blocking their receptor (IL-36R). While GPP can be treated with IL-36R inhibitors, the structural underpinnings of the IL-36Ra/IL-36R interaction remain poorly understood. Here, we sought to address this question by systematically investigating the effects of IL36RN mutations. We experimentally characterized the effects of 30 IL36RN variants on protein stability. In parallel, we used a machine-learning tool (Rhapsody) to analyse the IL-36Ra three-dimensional structure and predict the impact of all possible amino acid substitutions. This integrated approach identified 21 amino acids that are essential to IL-36Ra stability. We next investigated the effects of IL36RN changes on IL-36Ra/IL-36R binding and IL-36R signalling. By combining in-vitro assays and machine-learning with a second programme (mCSM), we identified 13 amino acids that are critical to IL-36Ra/IL36R engagement. Finally, we experimentally validated three representative predictions, further confirming the reliability of Rhapsody and mCSM. These findings shed light on the structural determinants of IL-36Ra activity, with potential to facilitate the design of new IL-36 inhibitors and aid the interpretation of IL36RN variants in diagnostic settings

Applications of Bayesian Networks as Decision Support Tools for Water Resource Management under Climate Change and Socio-Economic Stressors: A Critical Appraisal

Bayesian networks (BNs) are widely implemented as graphical decision support tools which use probability inferences to generate “what if?” and “which is best?” analyses of potential management options for water resource management, under climate change and socio-economic stressors. This paper presents a systematic quantitative literature review of applications of BNs for decision support in water resource management. The review quantifies to what extent different types of data (quantitative and/or qualitative) are used, to what extent optimization-based and/or scenario-based approaches are adopted for decision support, and to what extent different categories of adaptation measures are evaluated. Most reviewed publications applied scenario-based approaches (68%) to evaluate the performance of management measures, whilst relatively few studies (18%) applied optimization-based approaches to optimize management measures. Institutional and social measures (62%) were mostly applied to the management of water-related concerns, followed by technological and engineered measures (47%), and ecosystem-based measures (37%). There was no significant difference in the use of quantitative and/or qualitative data across different decision support approaches (p = 0.54), or in the evaluation of different categories of management measures (p = 0.25). However, there was significant dependence (p = 0.076) between the types of management measure(s) evaluated, and the decision support approaches used for that evaluation. The potential and limitations of BN applications as decision support systems are discussed along with solutions and recommendations, thereby further facilitating the application of this promising decision support tool for future research priorities and challenges surrounding uncertain and complex water resource systems driven by multiple interactions amongst climatic and non-climatic changes. View Full-Tex

Built Environment Interventions for Human and Planetary Health:Integrating Health in Climate Change Adaption and Mitigation

Objectives: Human-generated climate change is causing adverse health effects through multiple direct pathways (e.g. heatwaves, sea-level rise, storm frequency and intensity) and indirect pathways (e.g. food and water insecurity, social instability). Although the health system has a key role to play in addressing these health effects, so too do those professions tasked with the development of the built environment (urban and regional planners, urban designers, landscapers and architects), through improvements to buildings, streets, neighbourhoods, suburbs and cities. This article reports on the ways in which urban planning and design, and architectural interventions, can address the health effects of climate change; and the scope of climate change adaptation and mitigation approaches being implemented by the built environment professions. Type of program or service: Built environment adaptations and mitigations and their connections to the ways in which urban planning, urban design and architectural practices are addressing the health effects of climate change. Methods: Our reflections draw on the findings of a recent review of existing health and planning literature. First, we explore the ways in which ‘adaptation’ and ‘mitigation’ relate to the notion of human and planetary health. We then outline the broad scope of adaptation and mitigation interventions being envisioned, and in some instances actioned, by built environment professionals. Results: Analysis of the review’s findings reveals that adaptations developed by built environment professions predominantly focus on protecting human health and wellbeing from the effects of climate change. In contrast, built environment mitigations address climate change by embracing a deeper understanding of the co-benefits inherent in the interconnectedness of human health and wellbeing and the health of the ecosystem on which it depends. In the final section, we highlight the ethical transition that these approaches demand of built environment professions. Lessons learnt: Built environment interventions must move beyond simple ecological sustainability to encouraging ways of life that are healthy for both humans and the planet. There are key challenges facing this new approach