Background “Crisis military deployment” was defined as a situation in which military personnel are suddenly ordered to duty to support an operation away from their home station and in a potentially dangerous environment. As a result of complex changes in the global political and economic landscape, military nurses are assuming an increasing number of crisis military deployment tasks. Moral distress has been widely studied among civilian nurses. However, little is known about the moral distress military nurses experience during military deployments (...) in crisis. Aim This review discussed the current state of research on the phenomenon, unique factors, specific sources, and measurement tools. Methods The scope of the study was defined using a framework developed by Arksey and O’Malley. Following English databases were searched: PubMed, CINAHL, Cochrane Library, Web of Science, and Embase, using MeSH terms and free word combinations; furthermore, Chinese databases: CNKI and CBMDisc, were explored using thematic terms from inception until January 20, 2023. Data were selected and defined by the inclusion and exclusion criteria and independently screened by two researchers. Ethical considerations The scoping review adhered to sound scientific practice and respected authorship and reference sources. Results Finally, 21 articles were included in the review. The moral distress of military nurses in crisis military deployments had unique and specific sources and reported positive aspects. The deployment environment and nature of the mission, responsibilities and obligations of military nurses, and the limited rights of patients were unique factors. Specific sources included third-party intervention, military triage, resource allocation, futile care, care of the enemy, and return to the battlefield. Military nurses in deployment reported positive aspects. They grow in their inner strength, build deep friendships and gain a greater sense of professional value. Conclusion It is important to understand the unique factors and specific sources of moral distress faced by military nurses in crisis military deployments and to identify the positive aspects. This research will help prepare military nurses for future deployments in advance by providing useful information to mitigate and eliminate moral distress. (shrink)

It has not been clarified if attention influences perception of targets in visual masking. Three forms of common masks were thus chosen in the present study and presented with character targets in three temporal sequences. In order to pinpoint the level of processing where masking arises, character targets were varied in depth of processing from random arrangements of strokes up to real Chinese characters. The attentional influence was examined under perceptual discrimination and lexical decision tasks, respectively. The results revealed significant (...) interactions among four factors. Identification of character targets in each form of mask sequence varied with task demand, with greater suppression in the perceptual discrimination task. These findings suggested that attentional demand can bias processing in favor of task-related information in visual masking. Variations in masking effects may be contributed by both attentional demand and spatio-temporal interaction. (shrink)

Travel route preferences can strongly interact with the events that happened in networked traveling, and this coevolving phenomena are essential in providing theoretical foundations for travel route recommendation and predicting collective behaviour in social systems. While most literature puts the focus on route recommendation of individual scenic spots instead of city travel, we propose a novel approach named City Travel Route Recommendation based on Sequential Events Similarity by applying the coevolving spreading dynamics of the city tour networks and mine the (...) travel spatiotemporal patterns in the networks. First, we present the Event Sequence Similarity Measurement Method based on modelling tourists’ travel sequences. The method can help measure similarities in various city travel routes, which combine different scenic types, time slots, and relative locations. Second, by applying the user preference learning method based on scenic type, we learn from the user’s city travel historical data and compute the personalized travel preference. Finally, we verify our algorithm by collecting data of 54 city travellers of their historical spatiotemporal routes in the ten most popular cities from Mafeng.com. CTRR-SES shows better performance in predicting the user’s new city travel sequence fitting the user’s individual preference. (shrink)

China is currently experiencing rapid economic growth. The price of this, however, is environment pollution. Many Chinese corporations are lacking in corporate environmental responsibility (CER). Therefore, this study employs data from Chinese and multinational corporations to identify why Chinese corporations seldom engage in CER by investigating their motivations and stakeholders. The results show that the most important reason why Chinese corporations do not engage in CER is the fact that their competitive strategy of cost cutting makes them limited in resources, (...) such as money, employees, information, or added value. Further study implies that Chinese corporations face more survival pressure, though they are willing to take environmental responsibilities as multinational corporations do. The results also imply that government and social surroundings can play an important role to arouse CER consciousness of Chinese corporations in all stakeholders. Consequently, Chinese government has a heavy duty to promote corporations to respond to their CER in the long run. (shrink)