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.     

A new S2 control chart using repetitive sampling

A new S² control chart is presented for monitoring the process variance by utilizing a repetitive sampling scheme. The double control limits called inner and outer control limits are proposed, whose coefficients are determined by considering the average run length (ARL) and the average sample number when the process is in control. The proposed control chart is compared with the existing Shewhart S² control chart in terms of the ARLs. The result shows that the proposed control chart is more efficient than the existing control chart in detecting the process shift.     

面向服务创新的高校图书馆业务流程重组--以华中师范大学图书馆为例

本文论述新形势下高校图书馆服务创新的主要内容，包括服务的广度和深度、形式和手段、泛在服务和个性化服务，接着分析服务创新所需要的组织架构、人力物力支持、业务流程规范和技术手段跟进等，然后提出业务流程重组的原则和内容，最后以华中师范大学图书馆业务规程作为案例，论述高校图书馆业务流程重组实施过程和效果。     

Understanding cultural singularities of ‘Indianness’ in an intercultural business setting

Analysing data from the Indian information technology (IT) industry, this paper advances an understanding of cultural singularities of ‘Indianness’. The research context of an intercultural meeting place of IT and business process outsourcing firms’ overseas subsidiaries, Belgium in this case, allows the authors to identify 10 cultural singularities that typify ‘Indianness’. This ethnographic, reflexive study is further validated by employing Ghoshal's ‘smell of the place’ metaphor through the authors collective experiences as consultants and researchers, and builds and extends upon the popular cultural dimension frameworks for understanding intercultural business and management. Existing cultural dimensions do not sufficiently describe the contemporary intercultural dynamics that typically take place in workplaces, especially so in offshore and outsourcing environments. A provisional set of parameters for understanding Indian culture, with its relevant impact on business life (customs and manners), business processes and business deliverables are proposed in this study.     

A Qualitative Case Study on Recovery and Personal Growth in Korean Drug Addicts

ABSTRACT

In recent years, crimes related to drug smuggling and production have gradually increased in Korea. This qualitative case study explores the experiences of Koreans recovering from drug addiction and identifies specific details and mechanisms of recovery. For this purpose, participants were selected based on criteria such as engaging in social activities after recovery from addiction for 3 years or more. Next, one-on-one in-depth interviews were conducted with five voluntarily consenting participants. Data were analyzed using the within-/cross-case analysis suggested by Creswell. Substantial personal growth took place in the recovery process for drug addicts. Nineteen themes were identified as manifestations of personal growth through within-case analysis. Four common themes were then derived through cross-case analysis. These four common themes were “reconnection with reality,” “embracing the essence of one's own existence,” “reconstructing oneself in social relations,” and “self-love.” The study's results suggest that a recovery program needs to be developed wherein the program not only enables drug addicts to reflect on their current existence but also allows them to develop their specific coping skills. Future research should be broadened to consider the social support mechanism and viewpoints of people including family and local community members in close contact with drug addicts.     

Linking Decision Theory and Quantitative Microbial Risk Assessment: Tradeoffs Between Compliance and Efficacy for Waterborne Disease Interventions

Achieving health gains from the U.N. Sustainable Development Goals of universal coverage for water and sanitation will require interventions that can be widely adopted and maintained. Effectiveness—how an intervention performs based on actual use—as opposed to efficacy will therefore be central to evaluations of new and existing interventions. Incomplete compliance—when people do not always use the intervention and are therefore exposed to contamination—is thought to be responsible for the lower‐than‐expected risk reductions observed from water, sanitation, and hygiene interventions based on their efficacy at removing pathogens. We explicitly incorporated decision theory into a quantitative microbial risk assessment model. Specifically, we assume that the usability of household water treatment (HWT) devices (filters and chlorine) decreases as they become more efficacious due to issues such as taste or flow rates. Simulations were run to examine the tradeoff between device efficacy and usability. For most situations, HWT interventions that trade lower efficacy (i.e., remove less pathogens) for higher compliance (i.e., better usability) contribute substantial reductions in diarrheal disease risk compared to devices meeting current World Health Organization efficacy guidelines. Recommendations that take into account both the behavioral and microbiological properties of treatment devices are likely to be more effective at reducing the burden of diarrheal disease than current standards that only consider efficacy.     

十一届三中全会与中国的改革

党的十一届三中全会,是中国社会主义改革史上的一个界碑。改革是一场革命,又是一场伟大的社会主义建设的实践。２０年来,沿着建设有中国特色的社会主义道路,在农村和城市进行了广泛而深刻的改革,经过起步、展开和深化三个阶段,不仅取得了巨大的历史性成就,而且创造了极为丰富的改革经验     

Bayesian analysis of multivariate survival data using Monte Carlo methods

This paper deals with the analysis of multivariate survival data from a Bayesian perspective using Markov-chain Monte Carlo methods. The Metropolis along with the Gibbs algorithm is used to calculate some of the marginal posterior distributions. A multivariate survival model is proposed, since survival times within the same group are correlated as a consequence of a frailty random block effect. The conditional proportional-hazards model of Clayton and Cuzick is used with a martingale structured prior process (Arjas and Gasbarra) for the discretized baseline hazard. Besides the calculation of the marginal posterior distributions of the parameters of interest, this paper presents some Bayesian EDA diagnostic techniques to detect model adequacy. The methodology is exemplified with kidney infection data where the times to infections within the same patients are expected to be correlated.     

Failure Inference From a Marker Process Based on a Bivariate Wiener Model

Many models have been proposed that relate failure times and stochastic time-varying covariates. In some of these models, failure occurs when a particular observable marker crosses a threshold level. We are interested in the more difficult, and often more realistic, situation where failure is not related deterministically to an observable marker. In this case, joint models for marker evolution and failure tend to lead to complicated calculations for characteristics such as the marginal distribution of failure time or the joint distribution of failure time and marker value at failure. This paper presents a model based on a bivariate Wiener process in which one component represents the marker and the second, which is latent (unobservable), determines the failure time. In particular, failure occurs when the latent component crosses a threshold level. The model yields reasonably simple expressions for the characteristics mentioned above and is easy to fit to commonly occurring data that involve the marker value at the censoring time for surviving cases and the marker value and failure time for failing cases. Parametric and predictive inference are discussed, as well as model checking. An extension of the model permits the construction of a composite marker from several candidate markers that may be available. The methodology is demonstrated by a simulated example and a case application.