Risk Ranking of Antimicrobial‐Resistant Hazards Found in Meat in Switzerland

Human exposure to bacteria resistant to antimicrobials and transfer of related genes is a complex issue and occurs, among other pathways, via meat consumption. In a context of limited resources, the prioritization of risk management activities is essential. Since the antimicrobial resistance (AMR) situation differs substantially between countries, prioritization should be country specific. The objective of this study was to develop a systematic and transparent framework to rank combinations of bacteria species resistant to selected antimicrobial classes found in meat, based on the risk they represent for public health in Switzerland. A risk assessment model from slaughter to consumption was developed following the Codex Alimentarius guidelines for risk analysis of foodborne AMR. Using data from the Swiss AMR monitoring program, 208 combinations of animal species/bacteria/antimicrobial classes were identified as relevant hazards. Exposure assessment and hazard characterization scores were developed and combined using multicriteria decision analysis. The effect of changing weights of scores was explored with sensitivity analysis. Attributing equal weights to each score, poultry‐associated combinations represented the highest risk. In particular, contamination with extended‐spectrum β‐lactamase/plasmidic AmpC‐producing Escherichia coli in poultry meat ranked high for both exposure and hazard characterization. Tetracycline‐ or macrolide‐resistant Enterococcus spp., as well as fluoroquinolone‐ or macrolide‐resistant Campylobacter jejuni , ranked among combinations with the highest risk. This study provides a basis for prioritizing future activities to mitigate the risk associated with foodborne AMR in Switzerland. A user‐friendly version of the model was provided to risk managers; it can easily be adjusted to the constantly evolving knowledge on AMR.     

Authoritarian neoliberalism: trajectories of knowledge production and praxis

ABSTRACT

This introduction to the special issue takes as its point of departure three centres of gravity that have shaped the study of neoliberalism but have also established barriers to further progress in these debates. By promoting an intersectional materialist research agenda which challenges extant ideational, modernist and empiricist tendencies in scholarship on neoliberalism, the essay contextualizes the special issue articles by outlining and clarifying key aspects of our understanding of authoritarian neoliberalism. In particular, we reflect on themes related to conceptualization and periodization, which are of importance for both this special issue but also for broader questions of knowledge production and praxis. Through doing so, we argue that there are two distinct yet connected trajectories within the research agenda on authoritarian neoliberalism: one which focuses on the intertwinement of authoritarian statisms and neoliberal reforms; and another which traces various lineages of transformation of key societal sites in capitalism (e.g. states, households, workplaces, urban spaces). Recognition of this spectrum of authoritarian neoliberal practices is important as it helps us uncover how inequalities of power are produced and reproduced in capitalist societies, and pushes us to consider more fully how other worlds can be made possible. Nevertheless, it is affirmed that we must remain open to what an emancipatory society might look like, and what struggles would be most appropriate, in and across various socio-spatial contexts.     

Rate efficient estimation of realized Laplace transform of volatility with microstructure noise

In this paper, we consider the problem of estimating the Laplace transform of volatility within a fixed time interval [0,T] using high‐frequency sampling, where we assume that the discretized observations of the latent process are contaminated by microstructure noise. We use the pre‐averaging approach to deal with the effect of microstructure noise. Under the high‐frequency scenario, we obtain a consistent estimator whose convergence rate is , which is known as the optimal convergence rate of the estimation of integrated volatility functionals under the presence of microstructure noise. The related central limit theorem is established. The simulation studies justify the finite‐sample performance of the proposed estimator.     

High value manufacturing (HVM) in the UK: case studies and focus group insights

This paper studies the internal mechanisms that allow organisations to become high value manufacturing (HVM). Using a qualitative methodology, three UK manufacturing companies formed in-depth case studies with semi-structured interviews, observations and historical data. The HVM value matrix of Martinez and co-workers is used to categorise each organisation’s value proposition. Wider benchmarking of the three organisations was carried out against a focus group with an additional seven manufacturing organisations. Thus, data from 10 manufacturing organisations are included in this research. The cases follow the ‘customer intimacy’ HVM discipline. The business processes supporting these value propositions were identified. Interestingly, each organisation’s desired value proposition differs from their current one. ‘Technological integrators’ predominantly rely on new product development (NPD) and Strategy processes, whereas ‘Socialisors’ rely predominantly on Strategy and Customer Relationship processes. Companies can use the findings to better understand their current HVM value proposition and, where necessary, plan their transition to a future desired HVM value proposition.     

Estimation of flood frequencies from data sets with outliers using mixed distribution functions

In this paper the estimation of high return period quantiles of the flood peak and volume in the Kolubara River basin are carried out. Estimation of flood frequencies is carried out on a data set containing high outliers which are identified by the Rosner’s test. Simultaneously, low outliers are determined by the multiple Grubbs–Beck. The next step involved the usage of the mixed distribution functions applied to a data set from three populations: floods with low outliers, normal floods and floods with high outliers. The contribution of the data set with low outliers is neglected, since it should underestimate the flood quantiles with large return periods. Consequently, the best fitted mixed distribution from the applied types (EV1, GEV, P3 and LP3) was determined by using the minimum standard error of fit.     

‘It’s all bollocks!’ and other critical standpoints on the UK Government’s vision of global citizenship

The UK Government’s International Citizen Service (ICS) sends volunteers abroad to ‘fight global poverty’ as ‘global citizens’. Perhaps unsurprisingly, the construction of development on the ICS programme forecloses important political and historical contexts, resulting in a model of global citizenship we might term ‘soft’. This article presents data from interviews with ICS volunteers with a specific methodological concern of recognizing the agency of young people and allowing their responses to lead discussion. The outcome is a range of themes across the data that critique the Government’s model of citizenship and, I argue, shows the volunteers to be ‘critical’ global citizens. I then ask whether we can consider this a mode of resistance. I conclude with a final data set that – the case is made – presents an imperative to allow these volunteers to have their perspectives on historical and contemporary North–South relations recognized as a critical mode of global citizenship.     

Improving the detection of unusual observations in high‐dimensional settings

Multivariate control charts are used to monitor stochastic processes for changes and unusual observations. Hotelling's T² statistic is calculated for each new observation and an out‐of‐control signal is issued if it goes beyond the control limits. However, this classical approach becomes unreliable as the number of variables p approaches the number of observations n, and impossible when p exceeds n. In this paper, we devise an improvement to the monitoring procedure in high‐dimensional settings. We regularise the covariance matrix to estimate the baseline parameter and incorporate a leave‐one‐out re‐sampling approach to estimate the empirical distribution of future observations. An extensive simulation study demonstrates that the new method outperforms the classical Hotelling T² approach in power, and maintains appropriate false positive rates. We demonstrate the utility of the method using a set of quality control samples collected to monitor a gas chromatography–mass spectrometry apparatus over a period of 67 days.     

Peasants and Swedes: the making of a Habsburg nightmare in Early Modern Austria

The analysis of confessional conflict in early modern Austria has often focused on nobles and townspeople. To get the full picture, however, it is essential to integrate the rural core into the analysis. In the Habsburg domains, the dynasty’s resolve to uphold or subsequently re-establish the old faith antagonized large sectors of the populace. This occurred in the early phase of the Reformation, when a broad diversity of reformist thought influenced peasant activism. Yet it also returned at a later stage of Austrian confessionalization, when a reinvigorated church and dynasty had begun to roll back the advances of the new creed. During its final period in the midst of the Thirty Years’ War, Austrian peasants even sympathized with the Habsburgs’ international adversaries, personified above all by Sweden’s King Gustavus II Adolphus. These confrontations between monarchy and commoners form the centrepiece of this essay. By demonstrating both the potential and the limits of peasant agency, the article throws new light on the nature of Austrian society during the confessional era.     

对常规注水泥温度场预测方法的评价

为了对常规注水泥温度场预测方法进行研究评价,分析了API方法和一些常用的经验方法,并对API公布的数据和国内首次实测的大量井下循环温度实际数据进行了对比,结果表明:常规预测温度的方法其平均相对误差均高于5%;虽然对于不同井深和不同的循环时间条件可以采用不同的经验系数由地层静止温度(BHST)来估计井下循环温度,但该方法受到地区和各种因素的限制,时常与实际差别较大,不可能很好地满足钻井和固井施工的要求。要获取更准确的井下温度分布,应加强对本地区井下循环温度的实测和热交换过程的计算机模拟研究。