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1. A Typology for the Application of Team Coordination Dynamics Across Increasing Levels of Dynamic Complexity

   https://doi.org/10.1177/00187208221085826  

   Gorman, Jamie C.; Wiltshire, Travis J. (April 2022, Human Factors: The Journal of the Human Factors and Ergonomics Society)

   ObjectiveThis review and synthesis examines approaches for measuring and assessing team coordination dynamics (TCD). The authors advance a system typology for classifying TCD approaches and their applications for increasing levels of dynamic complexity. BackgroundThere is an increasing focus on how teams adapt their coordination in response to changing and uncertain operational conditions. Understanding coordination is significant because poor coordination is associated with maladaptive responses, whereas adaptive coordination is associated with effective responses. This issue has been met with TCD approaches that handle increasing complexity in the types of TCD teams exhibit. MethodA three-level system typology of TCD approaches for increasing dynamic complexity is provided, with examples of research at each level. For System I TCD, team states converge toward a stable, fixed-point attractor. For System II TCD, team states are periodic, which can appear complex, yet are regular and relatively stable. In System III TCD, teams can exhibit periodic patterns, but those patterns change continuously to maintain effectiveness. ResultsSystem I and System II are applicable to TCD with known or discoverable behavioral attractors that are stationary across mid-to long-range timescales. System III TCD is the most generalizable to dynamic environments with high requirements for adaptive coordination across a range of timescales. ConclusionWe outline current challenges for TCD and next steps in this burgeoning field of research. ApplicationSystem III approaches are becoming widespread, as they are generalizable to time- and/or scale-varying TCD and multimodal analyses. Recommendations for deploying TCD in team settings are provided. 

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2. Telephoto-lens-based Optical Differentiation Wavefront Sensor for freeform metrology

   https://doi.org/10.1364/OE.443558  

   Swain, Biswa_R; Dorrer, Christophe; Qiao, Jie (November 2021, Optics Express)

   We report an Optical Differentiation Wavefront Sensor based on a telephoto lens system and binary pixelated filters. It provides a five-fold reduction in the system length compared to a 4fsystem with identical effective focal length. Measurements of phase plates with this system are compared to measurements performed with a commercial low-coherence interferometer. The telephoto-lens-based system can measure wavefronts with accuracy better thanλ/10 Root Mean Squared (RMS) atλ=633 nm. Experimental investigation shows that the system has a high tolerance to components alignment errors. 

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3. The Impact of Optimized Fleets in Transportation Networks

   https://doi.org/10.1287/trsc.2022.1189  

   Battifarano, Matthew; Qian, Sean (July 2023, Transportation Science)

   Connected technologies have engendered a paradigm shift in mobility systems by enabling digital platforms to coordinate large sets of vehicles in real time. Recent research has investigated how a small number of connected vehicles may be coordinated to reduce total system cost. However, platforms may coordinate vehicles to optimize a fleet-wide objective which is neither user nor system optimal. We study the behavior of optimized fleets in mixed traffic and find that, at small penetrations, fleets may worsen system cost relative to user equilibrium, and provide a concrete example of this paradox. Past a critical penetration level, however, optimized fleets reduce system cost in the network, up to achieving system optimal traffic flow, without need for an external subsidy. We introduce two novel notions of fleet-optimal mixed equilibria: critical fleet size for user equilibrium (CFS-UE) and critical fleet size for system optimum (CFS-SO). We demonstrate on the Sioux Falls and Pittsburgh networks that 33% and 83% of vehicles, respectively, must participate in the fleet to achieve system optimum. In Pittsburgh, we find that, although fleets permeate the network, they accumulate on highways and major arterials; the majority of origin-destination pairs are either occupied exclusively by users or by the fleet. Critical fleet size offers regulators greater insight into where fleet and system interests align, transportation planners a novel metric to evaluate road improvements, and fleet coordinators a better understanding of their efforts to optimize their fleet. History: This paper has been accepted for the Transportation Science Special Issue on Emerging Topics in Transportation Science and Logistics. Funding: This work was supported by the U.S. Department of Transportation [Mobility21] and the National Science Foundation [CMMI-1931827]. Supplemental Material: The online appendices are available at https://doi.org/10.1287/trsc.2022.1189 . 

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4. A Recursive System Identification With Non-Uniform Temporal Feedback Under Coprime Collaborative Sensing

   https://doi.org/10.1115/1.4063481  

   Ouyang, Jinhua; Chen, Xu (April 2023, ASME Letters in Dynamic Systems and Control)

   Abstract We present a system identification method based on recursive least-squares (RLS) and coprime collaborative sensing, which can recover system dynamics from non-uniform temporal data. Focusing on systems with fast input sampling and slow output sampling, we use a polynomial transformation to reparameterize the system model and create an auxiliary model that can be identified from the non-uniform data. We show the identifiability of the auxiliary model using a Diophantine equation approach. Numerical examples demonstrate successful system reconstruction and the ability to capture fast system response with limited temporal feedback. 

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5. Reimagining From Abroad: Speech-Language Pathologists as Interprofessional Partners Supporting Justice-Involved Youth in America

   https://doi.org/10.1044/2023_AJSLP-23-00218  

   Perrotti, Anne Marie; Martinez, Sophia Janeiro; Chappell, Allison; Baker, Brooke D; Jayarathna, Sampath (March 2024, American Journal of Speech-Language Pathology)

   Purpose:With application to the United States, this tutorial explores barriers in the American juvenile justice system for justice-involved youth (JIY) with cognitive-communication disorders (CCDs). It outlines models from abroad and reimagines the American juvenile justice system to include speech-language pathologists (SLPs) as interprofessional practice partners. Method:Interprofessional (i.e., criminal justice, speech-language pathology) literature from the United States and overseas is reviewed and summarized to explain the American juvenile justice system, outline areas of concern for youth with CCDs, and describe potential solutions. Results:The application of speech-language pathology services within the juvenile justice system is explained and visually depicted. This framework was informed by intervention models and approaches from international examples. Conclusions:There is an opportunity to embed speech-language pathology services from intake into court action and through disposition for JIY with cognitive-communication impairments. This includes interprofessional education and development, SLPs providing direct intervention, and multidisciplinary screening efforts. Speech-language pathologists as interprofessional advocates and practice partners can improve life chances and outcomes for youth with CCDs in the juvenile justice system. 

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