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  1. Free, publicly-accessible full text available August 1, 2023
  2. Free, publicly-accessible full text available August 1, 2023
  3. Additive manufacturing (AM), also known as three-dimensional (3D) printing, is thriving as an effective and robust method in fabricating architected piezoelectric structures, yet most of the commonly adopted printing techniques often face the inherent speed-accuracy trade-off, limiting their speed in manufacturing sophisticated parts containing micro-/nanoscale features. Herein, stabilized, photo-curable resins comprising chemically functionalized piezoelectric nanoparticles (PiezoNPs) were formulated, from which microscale architected 3D piezoelectric structures were printed continuously via micro continuous liquid interface production ( μ CLIP) at speeds of up to ~60  μ m s -1 , which are more than 10 times faster than the previously reported stereolithography-based works. The 3D-printed functionalized barium titanate (f-BTO) composites reveal a bulk piezoelectric charge constant d 33 of 27.70 pC N -1 with the 30 wt% f-BTO. Moreover, rationally designed lattice structures that manifested enhanced, tailorable piezoelectric sensing performance as well as mechanical flexibility were tested and explored in diverse flexible and wearable self-powered sensing applications, e.g., motion recognition and respiratory monitoring.
    Free, publicly-accessible full text available July 12, 2023
  4. The scale and urgency of sustainability problems the world over has led to calls for sustainability transformations in cities, regions, and countries. Such calls for transformation are underlain by a persistent knowledge-to-action gap between scientific knowledge production, policy, and practice. To rise to the challenges of sustainability and resilience, municipal administrators need to set evidence-based and ambitious sustainability targets and develop strategies to achieve them. Simultaneously, transdisciplinary sustainability science researchers need to generate scientific knowledge to further enable cities along pathways of transformation. This paper details a collaborative backcasting game, AudaCITY, developed to build transformative capacity in city administrations while also generating deep contextual knowledge to inform a transformative sustainability science research agenda. We present AudaCITY's key features, potential applications and adaptations, and exemplary outputs and outcomes for cities and researchers. We conclude with recommendations for adopting and adapting AudaCITY for use in action-oriented and transformational sustainability science and capacity building.
    Free, publicly-accessible full text available July 7, 2023
  5. Free, publicly-accessible full text available July 1, 2023
  6. Virtual reality (VR) has a high potential to facilitate education. However, the design of many VR learning applications was criticized for lacking the guidance of explicit and appropriate learning theories. To advance the use of VR in effective instruction, this study proposed a model that extended the cognitive-affective theory of learning with media (CATLM) into a VR learning context and evaluated this model using a structural equation modeling (SEM) approach. Undergraduate students ( n = 77) learned about the solar system in a VR environment over three sessions. Overall, the results supported the core principles and assumptions of CATLM in a VR context (CATLM-VR). In addition, the CATLM-VR model illustrated how immersive VR may impact learning. Specifically, immersion had an overall positive impact on user experience and motivation. However, the impact of immersion on cognitive load was uncertain, and that uncertainty made the final learning outcomes less predictable. Enhancing students’ motivation and cognitive engagement may more directly increase learning achievement than increasing the level of immersion and may be more universally applicable in VR instruction.
    Free, publicly-accessible full text available July 1, 2023
  7. Free, publicly-accessible full text available July 1, 2023
  8. Ụbụrụ is an executive function computerized rehabilitation application specifically designed for mild Traumatic Brain Injury (mTBI) individuals. Ụbụrụ utilizes serious games to train cognitive flexibility, planning, and organization. This paper explores the rationale and components behind the alpha stage of the application’s development, and its first design iteration. Currently, individuals with a history of mTBI have limited rehabilitation options as a result of lack of knowledge in terms of available services, access, time, or financial and insurance constraints. Due to the invisible nature of mTBIs, perception of injury severity is diminished, individuals are not properly equipped with how to proceed forward with rehabilitation, and awareness of injury can be inadvertently compromised. The intention behind the Ụbụrụ application is to be a computerized cognitive rehabilitation alternative and additive when limitations such as time, finances, or insurance exist.
    Free, publicly-accessible full text available June 26, 2023
  9. This essay joins recent scholarship in arguing that FAccT's fundamental framing of the potential to achieve the normative conditions for justice through bettering the design of algorithmic systems is counterproductive to achieving said justice in practice. Insofar as the FAccT community's research tends to prioritize design-stage interventions, it ignores the fact that the majority of the contextual factors that practically determine FAccT outcomes happen in the implementation and impact stages of AI/ML lifecycles. We analyze an emergent and widely-cited movement within the FAccT community for attempting to honor the centrality of contextual factors in shaping social outcomes, a set of strategies we term ‘metadata maximalism’. Symptomatic of design-centered approaches, metadata maximalism abstracts away its reliance on institutions and structures of justice that are, by every observable metric, already struggling (where not failing) to provide accessible, enforceable rights. These justice infrastructures, moreover, are currently wildly under-equipped to manage the disputes arising from digital transformation and machine learning. The political economy of AI/ML implementation provides further obstructions to realizing rights. Data and software supply chains, in tandem with intellectual property protections, introduce structural sources of opacity. Where duties of care to vulnerable persons should reign, profit incentives are given legal and regulatorymore »primacy. Errors are inevitable and inextricable from the development of machine learning systems. In the face of these realities, FAccT programs, including metadata maximalism, tend to project their efforts in a fundamentally counter-factual universe: one in which functioning institutions and processes for due diligence in implementation and for redress of harms are working and ready to interoperate with. Unfortunately, in our world, these institutions and processes have been captured by the interests they are meant to hold accountable, intentionally hollowed-out, and/or were never designed to function in today's sociotechnical landscape. Continuing to produce (fair! accountable! transparent!) data-enabled systems that operate in high-impact areas, irrespective of this landscape's radically insufficient paths to justice, given the unavoidability of errors and/or intentional misuse in implementation, and the exhaustively-demonstrated disproportionate distribution of resulting harms onto already-marginalized communities, is a choice - a choice to be CounterFAccTual.« less
    Free, publicly-accessible full text available June 20, 2023
  10. Medication adherence is a major problem in the healthcare industry: it has a major impact on an individual’s health and is a major expense on the healthcare system. We note that much of human activity involves using our hands, often in conjunction with objects. Camera-based wearables for tracking human activities have sparked a lot of attention in the past few years. These technologies have the potential to track human behavior anytime, any place. This paper proposes a paradigm for medication adherence employing innovative wrist-worn camera technology. We discuss how the device was built, various experiments to demonstrate feasibility and how the device could be deployed to detect the micro-activities involved in pill taking so as to ensure medication adherence.
    Free, publicly-accessible full text available June 16, 2023