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Background: Patient violence is a serious occupational risk for nurses. Some professional rhetoric presents this risk as not part of nursing work, discounting widespread exposure. There is a disjunction between nurses’ experiences and the discourse they are exposed to. There is little to no evidence indicating whether nurses think it is possible to eliminate patient violence or whether their expectations of exposure to patient violence align with the significant risk they face. Purpose: The purpose of this analysis was to examine nurses’ perceptions related to the elimination of, expectations of, and desired state regarding exposure to patient violence. Methods: This study used a cross-sectional, descriptive design. Results: Nearly 500 nurses from seven acute care hospitals in the western United States responded to the electronic survey. Most nurses (85%) do not think it is possible to prevent violence in acute care facilities. Most (81%) also agree that nurses in acute care facilities do expect to be exposed to patient violence while at work. A smaller majority (68%) responded that nurses should expect to be exposed to patient violence while at work. Respondents indicated that expecting patient violence was an important mechanism in preventing and responding to it. Nurses did not conflate expectations of patient violence with acceptance of patient violence. Conclusions: Expecting patient violence is not equivalent to accepting violence, yet these two ideas are often used interchangeably in workplace violence initiatives. Eliminating patient violence is not entirely possible given known risk factors. Enforcing ‘zero tolerance’ to patient violence is untenable, and the inability to enact it may result in frustration among nurses. Language matters, and what nurses are experiencing must be differentiated from an ideal state. The professional narrative about patient violence may have negative consequences and is not aligned with nurses’ experiences or expectations. Full article

In this paper, we develop a multi-objective integrated optimization method for feeder buses of rail transit based on realistic considerations. We propose a bus stop selection method that considers the influence of shared motorcycles, which can score the importance of alternative bus stops and select those with the highest scores as objectives. The objective of the model in this paper is to minimize both the travel costs of passengers and the operating costs of the bus company. This is achieved by optimizing feeder bus routes, the frequency of departures, and interchange discounts to enhance the connectivity between feeder buses and rail transit. In addition, to ensure the feasibility of generated routes in the real road network, a genetic algorithm encoded with priority is used to solve this model. We use the Xingyao Road subway station in Kunming as an example, and the results show that the optimization method is effective. Full article