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Introduction: This study examined the perceived competence of Clinical Research Coordinators (CRCs) using several conceptual frameworks. Accurate self-assessment of one's professional competence is a critical component in the career navigation process and contributes to (a) identifying and securing professional development (training), (b) leveraging professional strengths, and (c) integrating self-knowledge into a comprehensive career plan. Method: A survey design gathered responses from a sample of 119 CRCs in a southeastern region of the USA Two conceptual frameworks were used to represent aspects of CRC professional competence: the eight Joint Task Force (JTF) competence domains, and perceptions of strengths and training needs from a list of 12 task categories. Results: The JTF domain with the lowest competence level was Development and Regulations, while the highest was Communication. Perceived competence increased incrementally with years of experience. Top strengths involved direct patient interaction and data management. Tasks in need of training included project management and reporting issues. Variations in responses were based on years of experience as a CRC. Conclusion: Our results demonstrate an association between the self-reported strengths and training needs of CRCs and experience. This information can contribute to the self-directed career navigation of CRCs. [ABSTRACT FROM AUTHOR]

During the development or deployment of discrete event simulation systems, many sudden changes in requirements emerge. To embrace the changes rapidly and reduce development costs, attaching reusable, and black-boxed components to existing systems has been regarded as one of the most effective approaches because modifications at the code level are generally costly and risky. However, since this approach requires components that are an exact fit, it may not be easy to avoid the modifications at the source code level actually. Moreover, the required components may not exist. Hence, this paper applies black-box extensibility to simulation systems in order to avoid the modifications. This paper proposes adaptive discrete event simulation systems using event control models for extending and modifying semantics through event-based simulation interface. With the proposed work, the simulation events are modulated, deleted, and generated by the event-oriented control functions in the event control model to embrace the changes of requirements. It can substitute for the modifications at the code level and extend the existing behavioral semantics. As a result, the proposed work provides a new alternative step in the development process with reusable components to avoid modifications at the source code level. The new step will lead to rapid adaptations of existing simulation systems. To support the effectiveness of this approach, this paper will describe applicable examples based on our empirical studies. [ABSTRACT FROM AUTHOR]

Simulation of a system-of-systems (SoS) model, which consists of a combat model and a network model, has been used to analyze the performance of network-centric warfare in detail. However, finding the combat model parameters satisfying the required combat power using simulation can take a long time for two reasons: (1) the prolonged execution time per simulation run and (2) the enormous number of simulation runs. This paper proposes a simulation-based optimization method for the SoS-based simulation model to overcome these problems. The method consists of two processes: (1) the transformation of the SoS-based model into an integrated model using the neural network to reduce the execution time and (2) the optimization of the integrated model using the genetic algorithm with ranking and selection to decrease the number of simulation runs. The experimental result reveals that the proposed method significantly reduced the time for finding the optimal combat parameters with an acceptable level of accuracy. [ABSTRACT FROM AUTHOR]