College is a key period for students' specialty study and development, and an important stage of career exploration. We examined the relationship between proactive personality, career adaptability, and perceived social support and specialty identity among 610 Chinese college students. The mediating effect of perceived social support was greater than that of specialty identity. Therefore, providing more social support to college students may be more conducive to increasing their career adaptability. The chain intermediary effect of perceived social support indicated that specialty identity is also significant. Thus, college students with a more proactive personality can perceive more emotional support and study harder, thereby increasing their specialty identity and career adaptability. Results of this study can help guide universities in offering courses and activities that promote students' career adaptability with perceived social support and specialty identity in mind. Results also provide a model for future study of the influence of proactive personality on college student career adaptability.

This study investigates the status quo and influencing factors of death attitudes and death anxiety among medical interns in China as measured by the Death Attitude Scale and Death Anxiety Scale following the outbreak of “Novel Coronavirus Pneumonia” in China in early 2020. Results of this study show that under the influence of COVID-19, in terms of death attitude, medical interns scored the highest in neutral acceptance and the lowest in escape acceptance. There were significant differences in death attitude and anxiety among the groups with different backgrounds, including their families’ approaches to discussions of death, the number of funeral experiences, and other factors. There were two additional factors affecting attitudes that were related to the epidemic situation: whether the individual had participated in work to treat COVID-19 and whether their close friends or relatives (“cherished persons”) had been diagnosed with COVID-19. The study reveals the ways that the epidemic had an impact on death attitude and death anxiety.

This article addresses the issue of flood management using four flood storage areas in the middle section of Huai River in China which protect the important downstream city of Bengbu. The same areas are also used by the local population as residential and agricultural zones. An optimization problem is therefore posed, with two objectives of simultaneously minimizing the downstream flood risk in Bengbu city and the storage areas’ economic damages. The methodology involved development of river flood models using HEC-RAS, with varying complexity, such as 1-dimensional (1D) model with storage areas represented as lumped conceptual reservoirs, and 2-dimensional (2D) models with detailed representation of the terrain, land-use and hydrodynamics in the storage areas. Experiments of coupling these models with global optimization algorithms (NSGA-II, PESA-II and SPEA-II) were performed (using the HEC-RAS Controller), in which the two objective functions were minimized, while using stage differences between the river and the storage areas as decision variables for controlling the opening/closing of the gates at the lateral structures that link the river with the storage areas. The comparative analysis of the results indicate that more refined optimal operational strategies that spread the damages across all storage areas can be obtained only with the detailed flood simulation models, regardless of the optimization algorithm used.

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