Fair fracking? Ethics and environmental justice in United Kingdom shale gas policy and planning

The exploitation of shale gas resources is a significant issue of environmental justice. Uneven distributions of risks and social impacts to local site communities must be balanced against the economic benefits to gas users and developers; and unequal decision-making powers must be negotiated between local and central government, communities and fracking site developers. These distributive and procedural elements are addressed in relation to UK policy, planning, regulatory and industry development. I adopt an explicitly normative framework of policy evaluation; addressing a research gap on the ethics of shale gas by operationalising Shrader-Frechette’s Principle of Prima Facie Political Equality (PPFPE). I conclude that UK fracking policy reveals inherent contradictions of environmental justice in relation to the Conservative Government’s localist and planning reform agendas. Early fracking policy protected communities from harm in the wake of seismic risk events, but these were quickly replaced with pro-industry economic stimulation and planning legislation that curtailed community empowerment in fracking decision-making, increased environmental risks to communities, transferred powers from local to central government, and created the conditions of distributive injustices in the management of community benefit provisions. I argue that only by ‘re-localising’ the scale of fracking governance can political equality be ensured and the distributive and procedural environmental injustices be ameliorated

Environmental values in the petrochemical industry: A Q-method study in South West Iran

Achieving sustainable development in different regional and cultural contexts is dependent, in part, upon an understanding of key actors’ underlying environmental, social and economic values. The social research technique called Q-methodology presents an effective means to explore such values as a matter of discourse: revealing the typologies of stakeholder perspectives within a given debate. Q-method involves factor analysis of participant rank-ordered preselected statements on a topic. The resultant factors are then reinterpreted as social discourses. In this study we use Q-methodology to explore the environmental values of Health Safety and Environmental (HSE) managers in petrochemical companies in Khuzestan province in southwest Iran. Khuzestan is a key region of petrochemical product development, with significant associated environmental pollution effects. Understanding HSE managers’ attitudes to environmental protection is of value in predicting broader environmental impacts to the region, given the relative importance of their role in regulating the environmental performance of this industry. Our results reveal four distinct and varied perspectives on environmental protection labelled: ‘Environmental stewardship’, ‘Environmental presentism’, ‘Technological optimism’ and ‘Enlightened anthropocentrism’. We then discuss how these four emergent perspectives correspond to broader environmental discourses as categorized by John Dryzek: i.e. green rationalism, economic rationalism, prometheanism and ecological modernization respectively

Key actor perspectives on stakeholder engagement in Omani Environmental Impact Assessment: an application of Q-Methodology

Stakeholder engagement (SE), particularly with representatives of locally affected communities, is integral to Environmental Impact Assessment (EIA) processes, so critical evaluation of SE is necessary across a range of different socio-political contexts. EIA SE practice in the Sultanate of Oman is examined using Q-Methodology, a qualitative-quantitative discourse analysis technique, in order to evaluate key-actor perspectives and policy directions. Four discourses emerge, pertaining to (1) the institutionalisation of SE; (2) business as usual; (3) rights-centred engagement; and (4) decentralisation of EIA institutions. Consensus emerges that shows support for transparency and formalisation of SE; greater citizen-centred decision-making power; transparency in government guidelines; and the elimination of developer-led consultation processes. Policy options for reforming EIA policy are discussed, including a code of participation practice and a toolkit of suitable engagement methods

Enhancement of Magneto-Optic Effects via Large Atomic Coherence

We utilize the generation of large atomic coherence to enhance the resonant nonlinear magneto-optic effect by several orders of magnitude, thereby eliminating power broadening and improving the fundamental signal-to-noise ratio. A proof-of-principle experiment is carried out in a dense vapor of Rb atoms. Detailed numerical calculations are in good agreement with the experimental results. Applications such as optical magnetometry or the search for violations of parity and time reversal symmetry are feasible

Measurement of the Charged Multiplicities in b, c and Light Quark Events from Z0 Decays

Average charged multiplicities have been measured separately in $b$, $c$ and light quark ($u,d,s$) events from $Z^0$ decays measured in the SLD experiment. Impact parameters of charged tracks were used to select enriched samples of $b$ and light quark events, and reconstructed charmed mesons were used to select $c$ quark events. We measured the charged multiplicities: $\bar{n}_{uds} = 20.21 \pm 0.10 (\rm{stat.})\pm 0.22(\rm{syst.})$, $\bar{n}_{c} = 21.28 \pm 0.46(\rm{stat.}) ^{+0.41}_{-0.36}(\rm{syst.})$ $\bar{n}_{b} = 23.14 \pm 0.10(\rm{stat.}) ^{+0.38}_{-0.37}(\rm{syst.})$, from which we derived the differences between the total average charged multiplicities of $c$ or $b$ quark events and light quark events: $\Delta \bar{n}_c = 1.07 \pm 0.47(\rm{stat.})^{+0.36}_{-0.30}(\rm{syst.})$ and $\Delta \bar{n}_b = 2.93 \pm 0.14(\rm{stat.})^{+0.30}_{-0.29}(\rm{syst.})$. We compared these measurements with those at lower center-of-mass energies and with perturbative QCD predictions. These combined results are in agreement with the QCD expectations and disfavor the hypothesis of flavor-independent fragmentation.Comment: 19 pages LaTex, 4 EPS figures, to appear in Physics Letters

Rhenium and yttrium ions as antimicrobial agents against multidrug resistant Klebsiella pneumoniae and Acinetobacter baumannii biofilms

© 2019 The Authors. Letters in Applied Microbiology published by John Wiley & Sons Ltd on behalf of Society for Applied Microbiology. Antimicrobial resistance presents major global concerns to patient health. In this study, metal ions of molybdenum, rhenium, yttrium and thallium were tested against bacteria in planktonic and biofilm form using one strain of Klebsiella pneumoniae and Acinetobacter baumannii. The antimicrobial efficacy of the metal ions was evaluated against the planktonic bacterial strains using minimum inhibitory concentrations (MICs) and minimum bactericidal concentrations, whilst the efficacy of the metal ions against biofilms was tested using a crystal violet biofilm assay. Live Dead staining was used to visualize the antimicrobial activity elicited by the metal ions on the bacterial cell. The results showed that higher concentrations of the metals were required to inhibit the growth of biofilms (72·9 mg l −1 to 416·7 mg l −1 ), in comparison to their planktonic counterparts. MICs of the metal ions (<46·9 mg l −1 ) (planktonic cells) did not affect biofilm formation. Overall, rhenium and yttrium were effective antimicrobial agents. Molybdenum demonstrated the greatest level of biotoxicity. When taking into account these results and the known toxicity of thallium, it is possible that rhenium or yttrium ions could be developed as effective biocidal formulations in order to prevent transmission in healthcare environments. Significance and Impact of the Study: The metal ions, molybdenum, rhenium, thallium and yttrium were tested against both Klebsiella pneumoniae and Acinetobacter baumannii in planktonic and biofilm forms. This research demonstrated that all the metal ions may be effective antimicrobial agents. However, molybdenum induced high levels of cytotoxicity, whilst, there was no significant difference in the toxicity of the other metal ions tested. When considering the results for the antimicrobial efficacy and biotoxicity of the metal ions, in conjunction with the known toxicity of thallium in certain chemical compositions, it was concluded that overall rhenium or yttrium ions may be effective antimicrobial agents, one potential application may be utilizing these metal ions in hospital surface cleaning formulations

Neuroimaging-based classification of PTSD using data-driven computational approaches: a multisite big data study from the ENIGMA-PGC PTSD consortium

Background: Recent advances in data-driven computational approaches have been helpful in devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited to small homogeneous samples, different methodologies, and different imaging collection protocols, limit the ability to directly compare and generalize their results. Here we aimed to classify individuals with PTSD versus controls and assess the generalizability using a large heterogeneous brain datasets from the ENIGMA-PGC PTSD Working group. Methods: We analyzed brain MRI data from 3,477 structural-MRI; 2,495 resting state-fMRI; and 1,952 diffusion-MRI. First, we identified the brain features that best distinguish individuals with PTSD from controls using traditional machine learning methods. Second, we assessed the utility of the denoising variational autoencoder (DVAE) and evaluated its classification performance. Third, we assessed the generalizability and reproducibility of both models using leave-one-site-out cross-validation procedure for each modality. Results: We found lower performance in classifying PTSD vs. controls with data from over 20 sites (60 % test AUC for s-MRI, 59 % for rs-fMRI and 56 % for D-MRI), as compared to other studies run on single-site data. The performance increased when classifying PTSD from HC without trauma history in each modality (75 % AUC). The classification performance remained intact when applying the DVAE framework, which reduced the number of features. Finally, we found that the DVAE framework achieved better generalization to unseen datasets compared with the traditional machine learning frameworks, albeit performance was slightly above chance. Conclusion: These results have the potential to provide a baseline classification performance for PTSD when using large scale neuroimaging datasets. Our findings show that the control group used can heavily affect classification performance. The DVAE framework provided better generalizability for the multi-site data. This may be more significant in clinical practice since the neuroimaging-based diagnostic DVAE classification models are much less site-specific, rendering them more generalizable.Stress-related psychiatric disorders across the life spa

Environmental Justice Challenges in United Kingdom Infrastructure Planning: Lessons from a Welsh Incinerator Project

In the United Kingdom, the development of nationally significant infrastructure projects (NSIPS) such as power stations, waste management facilities, and airports, has become subject to recent changes in legislation and planning practice that have significant environmental justice implications for locally affected site communities. This discussion article examines UK infrastructure planning policy through a procedural environmental justice lens—specifically examining the changing role of community consultation and decisional influence in project plans, and industry-stakeholder relations between developers and citizens from economically and socially marginalized backgrounds. The procedural justice dimensions of UK NSIPS are examined with reference to the case of a proposed waste incinerator project in South Wales under the auspices of the (now defunct) Infrastructure Planning Commission (IPC). The conclusions section outlines specific policy recommendations for the UK IPC's replacement—the Planning Inspectorate's Infrastructure Planning Unit

Industry and stakeholder perspectives on the social and ethical dimensions of radioactive waste management option

The long-term management of radioactive wastes raises significant ethical issues to potential host communities, future generations and the environment. Following successive failures to site a long-term radioactive waste management facility in the UK, in 2001 the Government set up the Managing Radioactive Waste Safely programme and in 2003 the Committee on Radioactive Waste Management (CoRWM), charged with the assessment of potential radioactive waste management options. CoRWM’s option assessment process integrated technical and scientific analysis of risks with social and ethical concerns, and public and stakeholder values. This paper documents the trialing of a Q-method approach to the study of social, ethical and governance issues in the choice of long-term radioactive waste management options. The analysis draws out seven distinct ‘discourses’ each focusing upon different concerns ranging from citizen-centred decision-making, non-anthropocentric and multinational governance, technocratic and utilitarian policy, anti-nuclear opposition, risk governance concerns, final geological disposal and long-term stewardship of facilities and nuclear materials. Though diverse in nature, discursive consensus emerges on the value of citizen-led input in the decision-making process, the necessary consideration of a broad range of ethical positions from a range of public actors, and the rejection of utilitarian and technocratic decision-making, whilst they remain divided on which actors to trust in communicating and governing scientific and risk information, and upon the value of multinational cooperation in waste transportation and governance. This study discusses the implications of these divergent discourses for future radioactive waste management activities and comments on the use of Q-method in drawing out multiple stakeholders’ values in environmental policy processes