Collaboration in the Rhetoric of Science, Technology, and Medicine

The concept of collaboration lies at the heart of this special issue of Poroi. This issue is rooted in the papers and discussions that emerged from the co-sponsored 2023 preconference of the Association for the Rhetoric of Science, Technology, and Medicine (ARSTM) and the National Communication Association\u27s Environmental Communication Division (NCA-ECD). The collection brings together scholarship that examines, theorizes, and enacts collaboration from a variety of perspectives. The preconference served as an important space where scholars and practitioners from rhetoric, environmental communication, science and technology studies, and related fields engaged with the pressing challenges and opportunities of working together across disciplinary and institutional boundaries.&nbsp

Ways and Means: Rethinking the Rhetoric of Inquiry for the 21st Century

oai:poroi:id:33946Tracing the journal’s history from its beginning in 2001 to its present transformation, this essay explores how POROI has shaped and been shaped by broader disciplinary, institutional, and technological shifts. Highlighting key contributions to rhetorical inquiry—spanning science, technology, medicine, and beyond—the issue revisits influential articles that have defined POROI’s mission while inviting scholars to reimagine its future. As POROI embraces new ways of knowing and responds to contemporary challenges, it seeks to foster an inclusive, interdisciplinary space for examining the rhetoric of knowledge production in the 21st century

Documenting Sensation: Reimagining Urban Data for Equity and Sustainability

This paper explores the historical and contemporary practices of documenting urban planning in Tampa Bay, emphasizing the role of sensory experiences in fostering sustainable and equitable development. Using the 1989 Future of Hillsborough Transportation Concepts white paper as a case study, the research critiques the dominance of efficiency-focused documentation in urban policy. This study highlights how such frameworks often neglect cultural and sensory dimensions critical to community well-being. The research calls for a shift towards documenting sensory experiences, drawing on the concept of the sensorium, to bridge the gap between technical data and lived urban experiences. The paper argues that integrating sensory and cultural narratives into urban planning can create more inclusive and responsive cities, as illustrated through the case of La Segunda Bakery and the community protests against highway expansion. This approach provides a more holistic understanding of urban spaces, advocating for planning methodologies that extend beyond economic efficiency to support vibrant and socially connected communities

The Resilience of Sensation in Urban Planning

This article examines how sensation and affect make different kinds of resilience meaningful to communities. Through a case study, we analyze public deliberation about a proposal to expand interstates in Tampa, Florida. We describe how evidence introduced by opposing sides foregrounded conflicting sensory experiences. The resulting sensoriums upheld different aspects of the city’s identity as worth maintaining. Drawing from recent scholarship defining resilience as something that can always be done otherwise, we suggest that resilience is better understood as entangled with public affect. We argue that a key point for rhetorical intervention in city planning is considering which futures and visions of resilience are being imagined for publics

Zeeman Relaxation of Cold Atomic Iron and Nickel in Collisions with 3He

We have measured the ratio of the diffusion cross-section to the angular momentum reorientation cross-section in the colliding Fe-3He and Ni-3He systems. Nickel (Ni) and iron (Fe) atoms are introduced via laser ablation into a cryogenically cooled experimental cell containing cold (< 1 K) 3He buffer gas. Elastic collisions rapidly cool the translational temperature of the ablated atoms to the helium temperature. The cross-section ratio is extracted by measuring the decays of the atomic Zeeman sublevels. For our experimental conditions, thermal energy is comparable to the Zeeman splitting. As a result, thermal excitations between Zeeman sublevels significantly impact the observed decay. To determine the cross-section ratio accurately, we introduce a model of Zeeman state dynamics that includes thermal excitations. We find the cross-section ratio for Ni-3He = 5 x 10^3 and Fe-3He <= 3 x 10^3 at 0.75 K in a 0.8 T magnetic field. These measurements are interpreted in the context of submerged shell suppression of spin relaxation as studied previously in transition metals and rare earth atoms.Comment: 10 pages, 5 figures; submitted to Phys. Rev.

Learning Shape Priors for Single-View 3D Completion and Reconstruction

The problem of single-view 3D shape completion or reconstruction is challenging, because among the many possible shapes that explain an observation, most are implausible and do not correspond to natural objects. Recent research in the field has tackled this problem by exploiting the expressiveness of deep convolutional networks. In fact, there is another level of ambiguity that is often overlooked: among plausible shapes, there are still multiple shapes that fit the 2D image equally well; i.e., the ground truth shape is non-deterministic given a single-view input. Existing fully supervised approaches fail to address this issue, and often produce blurry mean shapes with smooth surfaces but no fine details. In this paper, we propose ShapeHD, pushing the limit of single-view shape completion and reconstruction by integrating deep generative models with adversarially learned shape priors. The learned priors serve as a regularizer, penalizing the model only if its output is unrealistic, not if it deviates from the ground truth. Our design thus overcomes both levels of ambiguity aforementioned. Experiments demonstrate that ShapeHD outperforms state of the art by a large margin in both shape completion and shape reconstruction on multiple real datasets.Comment: ECCV 2018. The first two authors contributed equally to this work. Project page: http://shapehd.csail.mit.edu

Ground- and Space-based Detection of the Thermal Emission Spectrum of the Transiting Hot Jupiter KELT-2Ab

We describe the detection of water vapor in the atmosphere of the transiting hot Jupiter KELT-2Ab by treating the star-planet system as a spectroscopic binary with high-resolution, ground-based spectroscopy. We resolve the signal of the planet's motion with deep combined flux observations of the star and the planet. In total, six epochs of Keck NIRSPEC $L$-band observations were obtained, and the full data set was subjected to a cross correlation analysis with a grid of self-consistent atmospheric models. We measure a radial projection of the Keplerian velocity, $K_P$, of 148 $\pm$ 7 km s$^{-1}$, consistent with transit measurements, and detect water vapor at 3.8$\sigma$. We combine NIRSPEC $L$-band data with $Spitzer$ IRAC secondary eclipse data to further probe the metallicity and carbon-to-oxygen ratio of KELT-2Ab's atmosphere. While the NIRSPEC analysis provides few extra constraints on the $Spitzer$ data, it does provide roughly the same constraints on metallicity and carbon-to-oxygen ratio. This bodes well for future investigations of the atmospheres of non-transiting hot Jupiters.Comment: accepted to A

Detection of Water Vapor in the Thermal Spectrum of the Non-Transiting Hot Jupiter upsilon Andromedae b

The upsilon Andromedae system was the first multi-planet system discovered orbiting a main sequence star. We describe the detection of water vapor in the atmosphere of the innermost non-transiting gas giant ups~And~b by treating the star-planet system as a spectroscopic binary with high-resolution, ground-based spectroscopy. We resolve the signal of the planet's motion and break the mass-inclination degeneracy for this non-transiting planet via deep combined flux observations of the star and the planet. In total, seven epochs of Keck NIRSPEC $L$ band observations, three epochs of Keck NIRSPEC short wavelength $K$ band observations, and three epochs of Keck NIRSPEC long wavelength $K$ band observations of the ups~And~system were obtained. We perform a multi-epoch cross correlation of the full data set with an atmospheric model. We measure the radial projection of the Keplerian velocity ($K_P$ = 55 $\pm$ 9 km/s), true mass ($M_b$ = 1.7 $^{+0.33}_{-0.24}$ $M_J$), and orbital inclination \big($i_b$ = 24 $\pm$ 4$^{\circ}$\big), and determine that the planet's opacity structure is dominated by water vapor at the probed wavelengths. Dynamical simulations of the planets in the ups~And~system with these orbital elements for ups~And~b show that stable, long-term (100 Myr) orbital configurations exist. These measurements will inform future studies of the stability and evolution of the ups~And~system, as well as the atmospheric structure and composition of the hot Jupiter.Comment: Accepted to A

Intelligent Management of Constrained Links for Distributed Autonomy

This paper addresses one of the main underlying obstacles overlooked when adding autonomy to a cooperative cluster of nodes working together to complete global objectives. Whether these nodes are ground, sea, air, or space vehicles, a constrained link is used to distribute information between the vehicles. The limited bandwidth of the constrained link must be shared between all nodes and becomes a pinch point for distributed autonomy. Intelligently managing the shared information and controlling how it is replicated across all nodes is vital. Lack of communication results in poor team performance. Intermittent connectivity and delayed intelligence sharing leads to the cooperative cluster performing no better or even worse than a single node as the team acts and reacts to misinformation. This paper describes solutions to the challenges encountered when distributing information across constrained links by utilizing application layer routing to apply quality of service (QoS) operations on a per-route basis and creating a unique method to pass generic objects of information in a prioritized manner