Sahoo, R. N.; Paul, M.; Köster, U.; Scott, R.; Tessler, M.; Zylstra, A.; Avila, M. L.; Dickerson, C.; Jayatissa, H.; Kohen, M.S.; et al
(, EPJ Web of Conferences)
Mattoon, C.M.; Vogt, R.; Escher, J.; Thompson, I.
(Ed.)
The cross-section of the thermal neutron capture41Ar(n,γ)42Ar(t1/2=32.9 y) reaction was measured by irradiating a40Ar sample at the high-flux reactor of Institut Laue-Langevin (ILL) Grenoble, France. The signature of the two-neutron capture has been observed by measuring the growth curve and identifying the 1524.6 keV γ-lines of the shorter-lived42K(12.4 h) β−daughter of42Ar. Our preliminary value of the41Ar(n,γ)42Ar thermal cross section is 240(80) mb at 25.3 meV. For the first time, direct counting of42Ar was performed using the ultra-high sensitivity technique of noble gas accelerator mass spectrometry (NOGAMS) at Argonne National Laboratory, USA.
Xu, Lei; Francisco, Abigail; Mohammadi, Neda; Taylor, John E.
(, Development of a Virtual Reality Integrated Community-Scale Eco-Feedback System)
A growing number of community energy initiatives have enlarged energy-related social networks to the community level. Information provision is deemed as an important role in such programs while energy data disclosure offers a great opportunity to promote energy savings by engaging energy-related actors. However, it is crucial to communicate this data in an effective way. In this research, we develop a virtual reality (VR) integrated eco-feedback system that enables both occupants and facility managers to interact with real-time energy consumption data represented in a community scale 3D immersive environment. This paper presents the detailed front-end and back-end design and development of this novel VR-integrated eco-feedback system using Georgia Tech’s campus as a test case for implementation. The VR-integrated community scale eco-feedback system is capable of visually characterizing differences in energy consumption across a large number of buildings of different types, and will be tested by users in future research. This research, when deployed broadly in cities, may help promote energy-aware behaviors of occupants and timely intervention strategies to achieve energy savings in urban areas.
Herrick, I.R.; Sinatra, G.M.; Kennedy, A.; Nye, B.D.; Swartout, W.R.; & Lindsey, E.
(, 2020 APA Annual Meeting)
Science museums aim to engage a large, diverse public audience in science learning and consequently, attempt to present information in entertaining, socially oriented, and innovative ways. Recent work using augmented reality (defined as technology that overlays virtual objects on to the real world) engages the public using content that is both situated in the context of the exhibit and virtually generated in a way that allows hidden worlds to become visible. However, little is known about how AR technology can facilitate museum visitors science learning. The Tar AR project, a sustained collaborative partnership funded by NSF AISL with La Brea Tar Pits/Natural History Museum of Los Angeles and a local university, explores how an AR experience can: promote visitor enjoyment, enjoyment, increase understanding of scientific topics, and promote user s feelings of ease with AR technology.
Zammit, Charlotte M; Nadel, Cory M; Lin, Ying; Koirala, Sajjan; Potts, Patrick Ryan; Nomura, Daniel K
(, bioRxiv)
Abstract Androgen-independent prostate cancers, correlated with heightened aggressiveness and poor prognosis, are caused by mutations or deletions in the androgen receptor (AR) or expression of truncated variants of AR that are constitutively activated. Currently, drugs and drug candidates against AR target the steroid-binding domain to antagonize or degrade AR. However, these compounds cannot therapeutically access largely intrinsically disordered truncated splice variants of AR, such as AR-V7, that only possess the DNA binding domain and are missing the ligand binding domain. Targeting intrinsically disordered regions within transcription factors has remained challenging and is considered “undruggable”. Herein, we leveraged a cysteine-reactive covalent ligand library in a cellular screen to identify degraders of AR and AR-V7 in androgen-independent prostate cancer cells. We identified a covalent compound EN1441 that selectively degrades AR and AR-V7 in a proteasome-dependent manner through direct covalent targeting of an intrinsically disordered cysteine C125 in AR and AR-V7. EN1441 causes significant and selective destabilization of AR and AR-V7, leading to aggregation of AR/AR-V7 and subsequent proteasome-mediated degradation. Consistent with targeting both AR and AR-V7, we find that EN1441 completely inhibits total AR transcriptional activity in androgen-independent prostate cancer cells expressing both AR and AR-V7 compared to AR antagonists or degraders that only target the ligand binding domain of full-length AR, such as enzalutamide and ARV-110. Our results put forth a pathfinder molecule EN1441 that targets an intrinsically disordered cysteine within AR to destabilize, degrade, and inhibit both AR and AR-V7 in androgen-independent prostate cancer cells and highlights the utility of covalent ligand discovery approaches in directly targeting, destabilizing, inhibiting, and degrading classically undruggable transcription factor targets.
Head‐mounted virtual reality (VR) and augmented reality (AR) systems deliver colour imagery directly to a user's eyes, presenting position‐aware, real‐time computer graphics to create the illusion of interacting with a virtual world. In some respects, colour in AR and VR can be modelled and controlled much like colour in other display technologies. However, it is complicated by the optics required for near‐eye display, and in the case of AR, by the merging of real‐world and virtual visual stimuli. Methods have been developed to provide predictable colour in VR, and ongoing research has exposed details of the visual perception of real and virtual in AR. Yet, more work is required to make colour appearance predictable and AR and VR display systems more robust.
Radu, Iulian, and Schneider, Bertrand. How Augmented Reality (AR) Can Help and Hinder Collaborative Learning: A Study of AR in Electromagnetism Education. Retrieved from https://par.nsf.gov/biblio/10440875. IEEE Transactions on Visualization and Computer Graphics 29.9 Web. doi:10.1109/TVCG.2022.3169980.
Radu, Iulian, & Schneider, Bertrand. How Augmented Reality (AR) Can Help and Hinder Collaborative Learning: A Study of AR in Electromagnetism Education. IEEE Transactions on Visualization and Computer Graphics, 29 (9). Retrieved from https://par.nsf.gov/biblio/10440875. https://doi.org/10.1109/TVCG.2022.3169980
Radu, Iulian, and Schneider, Bertrand.
"How Augmented Reality (AR) Can Help and Hinder Collaborative Learning: A Study of AR in Electromagnetism Education". IEEE Transactions on Visualization and Computer Graphics 29 (9). Country unknown/Code not available. https://doi.org/10.1109/TVCG.2022.3169980.https://par.nsf.gov/biblio/10440875.
@article{osti_10440875,
place = {Country unknown/Code not available},
title = {How Augmented Reality (AR) Can Help and Hinder Collaborative Learning: A Study of AR in Electromagnetism Education},
url = {https://par.nsf.gov/biblio/10440875},
DOI = {10.1109/TVCG.2022.3169980},
abstractNote = {},
journal = {IEEE Transactions on Visualization and Computer Graphics},
volume = {29},
number = {9},
author = {Radu, Iulian and Schneider, Bertrand},
}
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