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  1. Free, publicly-accessible full text available July 1, 2024
  2. Coexistence of real-time constant-amplitude distributed acoustic sensing (DAS) and 400GbE signals is verified by field trial over metro fibers, demonstrating no QoT impact during co-propagation and supporting preemptive DAS-informed optical path switching before link failure. 
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  3. Herron, J. & (Ed.)
    This paper is part of a larger project seeking to create a sustainable infrastructure for engineering students to become STEM teachers in high-need schools. Induction programs are a key component for new teacher retention. A review of the literature and a systematic review of district partners' induction programs provide content for determining what components are needed for a supplemental induction program. One district focuses more on the expectations of mentors, and the other focuses more on new teacher expectations. The initial findings suggest including financial support for both mentors and mentees, providing university engineering faculty mentors, and opportunities for STEM mentees to collaborate. 
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  4. We introduce a novel vision-and-language navigation (VLN) task of learning to provide real-time guidance to a blind follower situated in complex dynamic navigation scenarios. Towards exploring real-time information needs and fundamental challenges in our novel modeling task, we first collect a multi-modal real-world benchmark with in-situ Orientation and Mobility (O&M) instructional guidance. Subsequently, we leverage the real-world study to inform the design of a larger-scale simulation benchmark, thus enabling comprehensive analysis of limitations in current VLN models. Motivated by how sighted O&M guides seamlessly and safely support the awareness of individuals with visual impairments when collaborating on navigation tasks, we present ASSISTER, an imitation-learned agent that can embody such effective guidance. The proposed assistive VLN agent is conditioned on navigational goals and commands for generating instructional sentences that are coherent with the surrounding visual scene, while also carefully accounting for the immediate assistive navigation task. Altogether, our introduced evaluation and training framework takes a step towards scalable development of the next generation of seamless, human-like assistive agents. 
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  5. null (Ed.)
    As one of the most powerful approaches to mechanistically understanding complex chemical reaction systems and performing simulations or predictions, kinetic modeling has been widely used to investigate advanced oxidation processes (AOPs). However, most of the available models are built based on limited systems or reaction mechanisms so they cannot be readily extended to other systems or reaction conditions. To overcome such limitations, this study developed a comprehensive model on phenol oxidation with over 550 reactions, covering the most common reaction mechanisms in nine AOPs—four peroxymonosulfate (PMS), four peroxydisulfate (PDS), and one H2O2 systems—and considering the effects of co-existing anions (chloride, bromide, and carbonate) and product formation. Existing models in the literature were first gathered and revised by correcting inaccurately used reactions and adding other necessary reactions. Extensive model tuning and validation were then conducted by fitting the model against experimental data from both this study and the literature. When investigating the effects of anions, we found that PDS/CuO suffered the least impact, followed by the H2O2/UV and other PDS systems, and finally the PMS systems. Halogenated organic byproducts were mainly observed in the PMS systems in the presence of halides. Most of the 556 reactions were found to be important based on the sensitivity analysis, with some involving anions even among the most important, which explained why these anions can substantially alter some of the reaction systems. With this comprehensive model, a deep understanding and reliable prediction can be made for the oxidation of phenol (and likely other phenolic compounds) in systems containing one or more of the above AOPs. 
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