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Aim: To evaluate the relationship between healthy work environment and work engagement considering the effect of psychological capital among ICU nurses. Design: The study was cross‐sectional design. Methods: The subjects were 671 registered nurses from 20 ICUs in 18 general hospitals in Shandong province between October 2021 and December 2021. The questionnaires testing nurses' perception of healthy work environment, their work engagement, and psychological capital were used. Structural equation modeling was used to explore their relationship. Results: Work engagement was positively affected by a healthy work environment and psychological capital. The structural equation modeling showed psychological capital mediated the relationship between healthy work environment and their work engagement. Patient or Public Contribution: There were 681 clinical nurses reported at public contribution for responding to the questionnaires and providing valuable data for the study and there was no patient contribution in this study. [ABSTRACT FROM AUTHOR]

This study aims to identify the risk factors of suicidal ideation (SI) in a large sample of Chinese adults in the labour force. A total of 4136 eligible participants in the labour force were recruited from the routine health check-up cohort. Univariate and multivariate logistic regression were used to identify the factors associated with 12-month and lifetime SI. 175 (4.2%) subjects reported SI in the past twelve months, and 223 (5.4%) reported SI during their lifetime. The results showed that being divorced or widowed, religious belief, personal history of chronic disease and mental illness, family history of mental illness and suicide, and self-assessed childhood happiness were associated with both 12-month and lifetime SI. Additional associations were found between 12-month SI and the following factors: working overtime frequently, low monthly income, and having bachelor's degree. Moreover, being single is a risk factor of lifetime SI while not significant for 12-month SI. The present study identified several risk factors of 12-month and lifetime SI, which could potentially help develop targeted interventions for high-risk suicidal Chinese adults in the labour force. [ABSTRACT FROM AUTHOR]

This paper develops a method for allocating a security budget to a water supply network so as to maximize the network's resilience to physical attack. The method integrates max-min linear programming, hydraulic simulation, and genetic algorithms for constraint generation. The objective is to find a security allocation that maximizes an attacker's marginal cost of inflicting damage through the destruction of network components. We illustrate the method on two example networks, one large and one small, and investigate its allocation effectiveness and computational characteristics. Keywords: Disaster planning, water distribution, consequence mitigation, vulnerability assessment, 1. Introduction The President's Commission on Critical Infrastructure Protection identified eight key infrastructures that provide essential services to our society (PPD 63, 1998). They are: (i) energy systems; (ii) telecommunications; [...]

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Millions of kilograms of virgin plastics are used annually to manufacture new products, yet only a small percentage of this material is recovered for reuse in new plastic products. Many companies hesitate to use regrind and postconsumer resins (PCRs) because of the extensive testing required to identify plausible uses and processing parameters. Although used polymers may be labeled by general type, such as acrylonitrile butadiene styrene or polycarbonate, such labels do not provide adequate information to determine molding parameters. Because used polymers may be degraded or mislabeled, it is important to characterize the used polymer rather than track the original virgin polymer properties. Another major challenge to plastics recycling is that standard industry polymer databases do not contain information about regrind resins or PCRs. Such polymer databases not only provide selection assistance, but also are used with mold-filling simulations to reduce the experimental time to determine molding parameters. First, we summarize the current plastics collection, identification, and separation processes. Then, we present an engineering approach for plastics recycling, based on rheological characterization. To characterize the plastic rheology, we measure the viscosity versus shear rate at various temperatures. In our proposed approach, we introduce a sequence of steps to obtain used-plastic input data for mold-filling simulations. Our goal is to reduce the amount of experimental testing needed to determine injection-molding parameters for regrind resins or PCRs. We test our method by molding American Society of Testing and Materials test specimens and a thinwall application with high-impact polystyrene from recycled printer and monitor housings. Our tests demonstrate that matching the viscosity versus shear rate curves of PCR and a virgin resin provides a proxy resin for input to mold-filling simulation software to determine PCR molding parameters. We compare our... [ABSTRACT FROM AUTHOR]