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This paper considers the single source shortest path (SSSP) problem, which is the key for many applications such as navigation, mapping, routing, and social networking. Existing SSSP algorithms are designed mostly for shared-memory systems. Nevertheless, with the prevalence of diverse smart devices like drones, there is a growing interest in deploying SSSP algorithms over distributed computing systems so that they can run efficiently onboard of smart devices via Mobile Ad Hoc Computing or at the network edges via Mobile Edge Computing. In this paper, we introduce a communication-efficient ∆-stepping algorithm for distributed computing systems. The proposed algorithm is featured by 1) a message coordination architecture for reducing message exchanges between workers, 2) a pruning technique for reducing redundant computations, and 3) an aggregation technique for further reducing message exchanges when communication delay is significant. Theoretical analyses and experimental studies on real-world graph datasets demonstrate the promising performance of proposed algorithm. 

The Academy of Engineering Success (AcES), a summer bridge program for incoming first-time freshmen (FTF) engineering students at West Virginia University (WVU), faced challenges in recruiting underserved students for years. To address this issue, research was conducted via a collaboration among faculty in engineering and business, with support from an undergraduate researcher and faculty in the Center for Excellence in STEM Education. A mixed methods study using surveys and interviews was designed to assess recruitment communication channels and student awareness of AcES and another university-level trip-based summer program to explore any misalignment and propose suggestions to improve future recruitment of diverse students. Results from 91 survey responses and 2 interviews are discussed. This paper also describes how cross-disciplinary non-tenure track faculty collaborated on engineering education research. 

Structural supercapacitors reach high performance with a gradient electrolyte and redox polymer electrodes.