• A 1720-nm ring-cavity Tm-doped fiber laser with optimized output coupling

      Zhang, L.; Zhang, J.; Sheng, Q.; Sun, S.; Shi, C.; Fu, S.; Bai, X.; Shi, W.; Yao, J.; College of Optical Sciences, University of Arizona (SPIE, 2021)
      We have demonstrated an efficient 1720-nm all-fiber laser with ring-cavity configuration based on commercial Tmdoped silica fiber and 1570-nm in-band pump source. The rate equation model was built up to analyze the laser performance of Tm-doped fiber, which exhibits strong absorption in 1.7-µm region. The results show that efficient laser operation can be achieved through the optimization of output coupling and the length of Tm-doped fiber. By using homemade couplers, we experimentally achieved 2.36-W laser output power under 6-W launched pump power. The slope efficiency with respect to the absorbed pump power and optical efficiency were 50.2% and 39.3%, respectively. Due to the employment of ring resonator, a narrow laser linewidth of ~4 GHz at maximum output power was observed. © 2021 SPIE.
    • A band model of cambium development: Opportunities and prospects

      Shishov, V.V.; Tychkov, I.I.; Anchukaitis, K.J.; Zelenov, G.K.; Vaganov, E.A.; Laboratory of Tree‐Ring Research, University of Arizona; School of Geography, Development, and Environment, University of Arizona (MDPI, 2021)
      More than 60% of tree phytomass is concentrated in stem wood, which is the result of periodic activity of the cambium. Nevertheless, there are few attempts to quantitatively describe cambium dynamics. In this study, we develop a state‐of‐the‐art band model of cambium development, based on the kinetic heterogeneity of the cambial zone and the connectivity of the cell structure. The model describes seasonal cambium development based on an exponential function under climate forcing which can be effectively used to estimate the seasonal cell production for individual trees. It was shown that the model is able to simulate different cell production for fast‐, middle‐ and slow‐growing trees under the same climate forcing. Based on actual measurements of cell production for two contrasted trees, the model effectively reconstructed long‐term cell production variability (up to 75% of explained variance) of both tree‐ring characteristics over the period 1937−2012. The new model significantly simplifies the assessment of seasonal cell production for individual trees of a studied forest stand and allows the entire range of individual absolute variability in the ring formation of any tree in the stand to be quantified, which can lead to a better understanding of the anatomy of xylem formation, a key component of the carbon cycle. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
    • A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction

      Lin, Chen; Miller, Timothy; Dligach, Dmitriy; Sadeque, Farig; Bethard, Steven; Savova, Guergana; Univ Arizona (ASSOC COMPUTATIONAL LINGUISTICS-ACL, 2020-07)
      Recently BERT has achieved a state-of-the-art performance in temporal relation extraction from clinical Electronic Medical Records text. However, the current approach is inefficient as it requires multiple passes through each input sequence. We extend a recently-proposed one-pass model for relation classification to a one-pass model for relation extraction. We augment this framework by introducing global embeddings to help with long-distance relation inference, and by multi-task learning to increase model performance and generalizability. Our proposed model produces results on par with the state-of-the-art in temporal relation extraction on the THYME corpus and is much "greener" in computational cost.
    • A Bibliometric Analysis and Visualization of the Top-Cited Publications in Mild Traumatic Brain Injury

      Shi, J.; Du, X.; Cavagnaro, M.J.; Li, N.; College of Medicine, University of Arizona (Frontiers Media S.A., 2021)
      Background: For measuring their impact in scientific research, the citation count of the publications is used in the bibliometric analysis, though still in the bibliometric analysis, there is no comprehensive summary of mild traumatic brain injury (mTBI) research. This article intends to provide the physicians and the neuroscientists with a reference guide to assess the most influential publications written on this subject through a macroscopic view of the research activities on mTBI. Methods: The database of the Web of Science was used to compile the 100 top-ranking publications on mTBI. The selected publications were evaluated on the basis of the several categorizations including the type of the publications, number of citations, country of origin, and year of publication. Results: Between 1946 and 2020, the 13,040 publications that were published were included in the database. The least cited publications received 274 citations, while the most cited received 1,748. Altogether, 71 publications were from the USA while 29 were from other countries. Among all the institutions, the University of Pittsburgh Medical Center led the list with six publications. Around 100 papers, mostly on the clinical studies in the categories of neurology and neurosciences, were published in 54 different journals. Conclusions: This study provides both a transverse section summary and historical retrospect for the clinical advances of mTBI, and the publications of important observations that contributed a significant impact on the treatment and prevention of mTBI had been identified. © Copyright © 2021 Shi, Du, Cavagnaro and Li.
    • A bioinformatic analysis of the inhibin-betaglycan-endoglin/CD105 network reveals prognostic value in multiple solid tumors

      Listik, E.; Horst, B.; Choi, A.S.; Lee, N.Y.; Győrffy, B.; Mythreye, K.; Division of Pharmacology, Chemistry and Biochemistry, College of Medicine, University of Arizona (Public Library of Science, 2021)
      Inhibins and activins are dimeric ligands belonging to the TGFβ superfamily with emergent roles in cancer. Inhibins contain an α-subunit (INHA) and a β-subunit (either INHBA or INHBB), while activins are mainly homodimers of either βA (INHBA) or βB (INHBB) subunits. Inhibins are biomarkers in a subset of cancers and utilize the coreceptors betaglycan (TGFBR3) and endoglin (ENG) for physiological or pathological outcomes. Given the array of prior reports on inhibin, activin and the coreceptors in cancer, this study aims to provide a comprehensive analysis, assessing their functional prognostic potential in cancer using a bioinformatics approach. We identify cancer cell lines and cancer types most dependent and impacted, which included p53 mutated breast and ovarian cancers and lung adenocarcinomas. Moreover, INHA itself was dependent on TGFBR3 and ENG/CD105 in multiple cancer types. INHA, INHBA, TGFBR3, and ENG also predicted patients’ response to anthracycline and taxane therapy in luminal A breast cancers. We also obtained a gene signature model that could accurately classify 96.7% of the cases based on outcomes. Lastly, we cross-compared gene correlations revealing INHA dependency to TGFBR3 or ENG influencing different pathways themselves. These results suggest that inhibins are particularly important in a subset of cancers depending on the coreceptor TGFBR3 and ENG and are of substantial prognostic value, thereby warranting further investigation. © 2021 Listik et al.
    • A Bright Ultraviolet Excess in the Transitional 02es-like Type Ia Supernova 2019yvq

      Burke, J.; Howell, D.A.; Sarbadhicary, S.K.; Sand, D.J.; Amaro, R.C.; Hiramatsu, D.; McCully, C.; Pellegrino, C.; Andrews, J.E.; Brown, P.J.; et al. (IOP Publishing Ltd, 2021)
      We present photometric and spectroscopic observations of the nearby Type Ia SN 2019yvq, from its discovery ∼1 day after explosion to ∼100 days after its peak brightness. This SN exhibits several unusual features, most notably an extremely bright UV excess seen within ∼5 days of its explosion. As seen in Swift UV data, this early excess outshines its "peak"brightness, making this object more extreme than other supernovae (SNe) with early UV/blue excesses (e.g., iPTF14atg and SN 2017cbv). In addition, it was underluminous M B = -18.4, relatively quickly declining (Δm 15(B) = 1.37), and shows red colors past its early blue bump. Unusual (although not unprecedented) spectral features include extremely broad-lined and high-velocity Si absorption. Despite obvious differences in peak spectra, we classify SN 2019yvq as a transitional member of the 02es-like subclass due to its similarities in several respects (e.g., color, peak luminosity, peak Ti, and nebular [Ca ii]). We model this data set with a variety of published models, including SN ejecta-companion shock interaction and sub-Chandrasekhar-mass white dwarf (WD) double-detonation models. Radio constraints from the VLA place an upper limit of (4.5-20) 10-8 M o˙ yr-1 on the mass-loss rate from a symbiotic progenitor, which does not exclude a red giant or main-sequence companion. Ultimately, we find that no one model can accurately replicate all aspects of the data set, and further we find that the ubiquity of early excesses in 02es-like SNe Ia requires a progenitor system that is capable of producing isotropic UV flux, ruling out some models for this class of objects. © 2021. The American Astronomical Society. All rights reserved..
    • A Brighter Future: The Effect of Social Class on Responses to Future Debt

      Schmitt, Harrison J.; Keefer, Lucas A.; Sullivan, Daniel; Stewart, Sheridan; Young, Isaac F.; Univ Arizona, Dept Psychol (PSYCHOPEN, 2020-07)
      The present study serves as an exploratory investigation of the role of social class in responses to the threat of future debt. Previous work has shown that individuals of high and low subjective social class differ in the ways that they respond to a broad range of threats and uncertainties about the future. Across three studies, we found that lower social class individuals expect more future debt and suffer greater attendant stress than higher class individuals (Study 1). We found that experimental manipulations of debt salience increased stress for lower class and not for higher class individuals (Studies 2-3). Likewise, we found that higher class individuals experienced higher affect balance and perceptions of personal control when the possibility of future debt was made salient, specifically as a function of decreased fatalism about future debt (Study 3). These three studies reveal yet another situation in which individuals of lower and higher social class respond differently to threat, and serve as an important step toward understanding the psychological ramifications of rising debt in the United States.
    • A Broad Grid of 2D Kilonova Emission Models

      Wollaeger, R.T.; Fryer, C.L.; Chase, E.A.; Fontes, C.J.; Ristic, M.; Hungerford, A.L.; Korobkin, O.; O'Shaughnessy, R.; Herring, A.M.; The University of Arizona (IOP Publishing Ltd, 2021)
      Depending upon the properties of their compact remnants and the physics included in the models, simulations of neutron star mergers can produce a broad range of ejecta properties. The characteristics of this ejecta, in turn, define the kilonova emission. To explore the effect of ejecta properties, we present a grid of two-component 2D axisymmetric kilonova simulations that vary mass, velocity, morphology, and composition. The masses and velocities of each component vary, respectively, from 0.001 to 0.1 M o˙ and 0.05 to 0.3 c, covering much of the range of results from the neutron star merger literature. The set of 900 models is constrained to have a toroidal low electron fraction (Y e ) ejecta with a robust r-process composition and either a spherical or lobed high-Y e ejecta with two possible compositions. We simulate these models with the Monte Carlo radiative transfer code SuperNu using a full suite of lanthanide and fourth-row element opacities. We examine the trends of these models with parameter variation, show how they can be used with statistical tools, and compare the model light curves and spectra to those of AT2017gfo, the electromagnetic counterpart of GW170817. © 2021. The American Astronomical Society. All rights reserved.
    • A Cascade Model of Sociodevelopmental Events Leading to Men's Perpetration of Violence Against Female Romantic Partners

      Kaighobadi, F.; Figueredo, A.J.; Shackelford, T.K.; Bjorklund, D.F.; Department of Psychology, University of Arizona (SAGE Publications Inc., 2021)
      Conceptually driven by life history theory, the current study investigated a hypothesized hierarchy of behaviors leading to men's perpetration of violence in intimate relationships. Using a series of hierarchical regressions, we tested a causal cascade model on data provided by 114 men in a committed romantic relationship. The results supported the hypothesized hierarchy of sociodevelopmental events: (1) men's childhood experiences with their parents’ parental effort predicted men's life history strategies; (2) men's life history strategies predicted men's behavioral self-regulation; (3) men's self-regulation predicted men's perceptions of partner infidelity risk; (4) perceptions of infidelity risk predicted men's frequency of engagement in nonviolent mate retention behaviors; (5) men's mate retention behaviors predicted men's frequency of partner-directed violence. The overall cascade model explained 36% of variance in men's partner-directed violence. © The Author(s) 2021.
    • A case of leiomyosarcoma of the common femoral artery

      Nguyen, D.; Leon, L.R.; Pacanowski, J.P.; Berman, S.S.; Pima Heart and Vascular, Section of Vascular Surgery, The University of Arizona (Society for Vascular Surgery, 2021)
      Leiomyosarcomas are rare malignant tumors of smooth muscle cell origin with those originating from blood vessels accounting for <1%. We report the unusual case of a leiomyosarcoma originating in the wall of the common femoral artery, highlighting the management decisions for vascular tumors and providing a brief literature review for these unusual malignancies. © 2021 The Authors
    • A Closer Look at Two of the Most Luminous Quasars in the Universe

      Schindler, J.-T.; Fan, X.; Novak, M.; Venemans, B.; Walter, F.; Wang, F.; Yang, J.; Yue, M.; Bañados, E.; Huang, Y.-H.; et al. (IOP Publishing Ltd, 2020)
      Ultraluminous quasars (M 1450 ≤ -29) provide us with a rare view into the nature of the most massive and most rapidly accreting supermassive black holes (SMBHs). Following the discovery of two of these extreme sources, J0341+1720 (M 1450 = -29.56, z = 3.71) and J2125-1719 (M 1450 = -29.39, z = 3.90), in the Extremely Luminous Quasar Survey (ELQS) and its extension to the Pan-STARRS 1 footprint (PS-ELQS), we herein present an analysis of their rest-frame UV to optical spectroscopy. Both quasars harbor very massive SMBHs with M BH =6.73 - 0.83+0.75 × 10 9, M ⊙ and M BH = 5.45 -0.55 +0.60 × 10 9, M ⊙, respectively, showing evidence of accretion above the Eddington limit ( and ). NOEMA 3 millimeter observations of J0341+1720 reveal a highly star-forming (SFR ≈ 1500 M o˙ yr-1), ultraluminous infrared galaxy (L IR ≈ 1.0 1013 L o˙) host, which, based on an estimate of its dynamical mass, is only ∼30 times more massive than the SMBH it harbors at its center. As examples of luminous super-Eddington accretion, these two quasars provide support for theories that explain the existence of billion solar mass SMBHs ∼700 million years after the Big Bang by moderate super-Eddington growth from standard SMBH seeds. © 2020. The American Astronomical Society. All rights reserved.
    • A co-registered multimodal imaging system for reflectance, multiphoton, and optical coherence microscopy

      Vega, D.; Barton, J.K.; Galvez, D.; Santaniello, S.P.; Adams, Z.; Pham, N.Y.; Kiekens, K.; Cordova, R.; Montague, J.; College of Optical Sciences, University of Arizona; et al. (SPIE, 2021)
      Multimodal imaging is an advantageous method to increase the accuracy of disease classification. As an example, we and others have shown that optical coherence tomography images and fluorescence spectroscopy contain complementary information that can increase the sensitivity and specificity for cancer detection. A common challenge in multimodal imaging is image co-registration. The different images are often taken with separate imaging setups, making it challenging to precisely image the same tissue area or co-register the images computationally. To solve this problem, we have developed a co-registered multimodal imaging system that images the same tissue location with reflectance, multi-photon, and optical coherence microscopy. The co-registration mechanism is a dual-clad fiber that integrates with a scanning microscope or scanning endoscope, collecting all three signals using the same optical path. In the current implementation, optical coherence tomography utilizes a 1300 nm super luminescent diode, multi-photon signals are excited by a custom femtosecond 1400 nm fiber laser producing two-and three-photon signals in the 460-900 nm band, and reflectance imaging operates at 561 nm. The system separates the different signals using fiber wavelength division multiplexers, a dual-clad fiber coupler, and dichroic mirrors to deliver the different signals to the corresponding detector. This wavelength selection enables the system to work passively, meaning that there is no need for devices such as filter wheels. Using the scanning microscope configuration, we have obtained multimodal images of ex-vivo ovine ovary tissue. © 2021 SPIE.
    • A community-maintained standard library of population genetic models

      Adrion, Jeffrey R.; Cole, Christopher B.; Dukler, Noah; Galloway, Jared G.; Gladstein, Ariella L.; Gower, Graham; Kyriazis, Christopher C.; Ragsdale, Aaron P.; Tsambos, Georgia; Baumdicker, Franz; et al. (ELIFE SCIENCES PUBLICATIONS LTD, 2020-06)
      The explosion in population genomic data demands ever more complex modes of analysis, and increasingly, these analyses depend on sophisticated simulations. Recent advances in population genetic simulation have made it possible to simulate large and complex models, but specifying such models for a particular simulation engine remains a difficult and error-prone task. Computational genetics researchers currently re-implement simulation models independently, leading to inconsistency and duplication of effort. This situation presents a major barrier to empirical researchers seeking to use simulations for power analyses of upcoming studies or sanity checks on existing genomic data. Population genetics, as a field, also lacks standard benchmarks by which new tools for inference might be measured. Here, we describe a new resource, stdpopsim, that attempts to rectify this situation. Stdpopsim is a community-driven open source project, which provides easy access to a growing catalog of published simulation models from a range of organisms and supports multiple simulation engine backends. This resource is available as a well-documented python library with a simple command-line interface. We share some examples demonstrating how stdpopsim can be used to systematically compare demographic inference methods, and we encourage a broader community of developers to contribute to this growing resource.
    • A comparison of text versus audio for information comprehension with future uses for smart speakers

      Leroy, G.; Kauchak, D.; University of Arizona (Oxford University Press, 2019)
      Objective: Audio is increasingly used to access information on the Internet through virtual assistants and smart speakers. Our objective is to evaluate the distribution of health information through audio. Materials and Methods: We conducted 2 studies to compare comprehension after reading or listening to information using a new corpus containing short text snippets from Cochrane (N=50) and Wikipedia (N=50). In study 1, the snippets were first presented as audio or text followed by a multiple-choice question. Then, the same information was presented as text and the question was repeated in addition to questions about perceived difficulty, severity and the likelihood of encountering the disease. In study 2, the first multiple-choice question was replaced with a free recall question. Results: Study 1 showed that information comprehension is very similar in both presentation modes (53% accuracy for text and 55% for audio). Study 2 showed that information retention is higher with text, but similar comprehension. Both studies show improvement in performance with repeated information presentation. Discussion: Audio presentation of information is effective and the format novel. Performance was slightly lower with audio when asked to repeat information, but comparable to text for answering questions. Additional studies are needed with different types of information and presentation combinations. Conclusion: The use of audio to provide health information is a promising field and will become increasingly important with the popularity of smart speakers and virtual assistants, particularly for consumers who do not use computers, for example minority groups, or those with limited sight or motor control. © The Author(s) 2019.
    • A Comprehensive Analysis of Triggers and Risk Factors for Asthma Based on Machine Learning and Large Heterogeneous Data Sources

      Zhang, Wenli; Ram, Sudha; Univ Arizona, Eller Coll Management (SOC INFORM MANAGE-MIS RES CENT, 2020)
      Asthma is a common chronic health condition affecting millions of people in the United States. While asthma cannot be cured, it can be managed if we identify and understand triggers and risk factors that cause asthma exacerbations. However, this is challenging because these triggers and risk factors are complex and interconnected, and there are limitations to current mainstream approaches for identifying them. The recent availability of massive amounts of heterogeneous data has opened up new possibilities for asthma triggers and risk factors analyses. In this study, we introduce a data-driven framework, adapt and integrate multiple advanced machine learning techniques, and perform an empirical analysis to (1) derive characteristics of selfreported asthma patients from social media, (2) enable integration and repurposing of highly heterogeneous and commonly available datasets, and (3) uncover the sequential patterns of asthma triggers and risk factors, and their relative importance, both of which are difficult to achieve via retrospective cohort-based studies. Our methods and results can provide guidance for developing asthma management plans and interventions for specific subpopulations and, eventually, have the potential to reduce the societal burden of asthma.
    • A Continuum Deformation Approach for Growth Analysis of COVID-19 in the United States

      Hemmati, S.; Rastgoftar, H.; Aerospace and Mechanical Engineering Department, University of Arizona (Nature Research, 2021)
      The COVID-19 global pandemic has significantly impacted every aspect of life all over the world. The United States is reported to have suffered more than 20% of the global casualties from this pandemic. It is imperative to investigate the growth dynamics of the disease in the US based on varying geographical and governmental factors that best manifest itself in each State of the Country. This paper utilizes a hybrid machine learning and continuum deformation-based approach for analyzing the stability and growth rate of the pandemic. To this end, principal stress values of the pandemic continuum body are obtained using Mohr’s Circle method and overlapping, moving windows of data are analysed successively. This helps in finding the correlations between the growth rate and Governments’ action/Public’s reaction. Government actions include “state of emergency”, “shelter at place”, and “phase declarations”. We also consider the vaccination rate milestones, which shows us the coordinated Governments’ action/Public’s reaction. Finally, a number of recommendations are made to the Governments and people for better management of future pandemics. © 2021, The Author(s).
    • A critical role of hepatic GABA in the metabolic dysfunction and hyperphagia of obesity

      Geisler, C.E.; Ghimire, S.; Bruggink, S.M.; Miller, K.E.; Weninger, S.N.; Kronenfeld, J.M.; Yoshino, J.; Klein, S.; Duca, F.A.; Renquist, B.J.; et al. (Elsevier B.V., 2021)
      Hepatic lipid accumulation is a hallmark of type II diabetes (T2D) associated with hyperinsulinemia, insulin resistance, and hyperphagia. Hepatic synthesis of GABA, catalyzed by GABA-transaminase (GABA-T), is upregulated in obese mice. To assess the role of hepatic GABA production in obesity-induced metabolic and energy dysregulation, we treated mice with two pharmacologic GABA-T inhibitors and knocked down hepatic GABA-T expression using an antisense oligonucleotide. Hepatic GABA-T inhibition and knockdown decreased basal hyperinsulinemia and hyperglycemia and improved glucose intolerance. GABA-T knockdown improved insulin sensitivity assessed by hyperinsulinemic-euglycemic clamps in obese mice. Hepatic GABA-T knockdown also decreased food intake and induced weight loss without altering energy expenditure in obese mice. Data from people with obesity support the notion that hepatic GABA production and transport are associated with serum insulin, homeostatic model assessment for insulin resistance (HOMA-IR), T2D, and BMI. These results support a key role for hepatocyte GABA production in the dysfunctional glucoregulation and feeding behavior associated with obesity. © 2021
    • A data assimilation approach to last millennium temperature field reconstruction using a limited high-sensitivity proxy network

      King, J.M.; Anchukaitis, K.J.; Tierney, J.E.; Hakim, G.J.; Emile-Geay, J.; Zhu, F.; Wilson, R.; Department of Geosciences, University of Arizona; Laboratory of Tree-Ring Research, University of Arizona; School of Geography, Development, and Environment, University of Arizona (American Meteorological Society, 2021)
      We use the Northern Hemisphere Tree-Ring Network Development (NTREND) tree-ring database to examine the effects of using a small, highly sensitive proxy network for paleotemperature data assimilation over the last millennium. We first evaluate our methods using pseudoproxy experiments. These indicate that spatial assimilations using this network are skillful in the extratropical Northern Hemisphere and improve on previous NTREND reconstructions based on point-by-point regression. We also find our method is sensitive to climate model biases when the number of sites becomes small. Based on these experiments, we then assimilate the real NTREND network. To quantify model prior uncertainty, we produce 10 separate reconstructions, each assimilating a different climate model. These reconstructions are most dissimilar prior to 1100 CE, when the network becomes sparse, but show greater consistency as the network grows. Temporal variability is also underestimated before 1100 CE. Our assimilation method produces spatial uncertainty estimates, and these identify tree-line North America and eastern Siberia as regions that would most benefit from development of new millennial-length temperature-sensitive tree-ring records. We compare our multimodel mean reconstruction to five existing paleotemperature products to examine the range of reconstructed responses to radiative forcing. We find substantial differences in the spatial patterns and magnitudes of reconstructed responses to volcanic eruptions and in the transition between the Medieval epoch and Little Ice Age. These extant uncertainties call for the development of a paleoclimate reconstruction intercomparison framework for systematically examining the consequences of proxy network composition and reconstruction methodology and for continued expansion of tree-ring proxy networks. © 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).
    • A deep learning approach for recognizing activity of daily living (adl) for senior care: Exploiting interaction dependency and temporal patterns

      Zhu, H.; Samtani, S.; Brown, R.A.; Chen, H.; Department of Pharmacy, University of Arizona; Department of Management Information Systems, University of Arizona (University of Minnesota, 2021)
      Ensuring the health and safety of senior citizens who live alone is a growing societal concern. The Activity of Daily Living (ADL) approach is a common means to monitor disease progression and the ability of these individuals to care for themselves. However, the prevailing sensor-based ADL monitoring systems primarily rely on wearable motion sensors, capture insufficient information for accurate ADL recognition, and do not provide a comprehensive understanding of ADLs at different granularities. Current healthcare IS and mobile analytics research focuses on studying the system, device, and provided services, and is in need of an end-to-end solution to comprehensively recognize ADLs based on mobile sensor data. This study adopts the design science paradigm and employs advanced deep learning algorithms to develop a novel hierarchical, multiphase ADL recognition framework to model ADLs at different granularities. We propose a novel 2D interaction kernel for convolutional neural networks to leverage interactions between human and object motion sensors. We rigorously evaluate each proposed module and the entire framework against state-of-the-art benchmarks (e.g., support vector machines, DeepConvLSTM, hidden Markov models, and topic-modeling-based ADLR) on two real-life motion sensor datasets that consist of ADLs at varying granularities: Opportunity and INTER. Results and a case study demonstrate that our framework can recognize ADLs at different levels more accurately. We discuss how stakeholders can further benefit from our proposed framework. Beyond demonstrating practical utility, we discuss contributions to the IS knowledge base for future design science-based cybersecurity, healthcare, and mobile analytics applications.
    • A Deep Polarimetric Study of the Asymmetrical Debris Disk HD 106906

      Crotts, K.A.; Matthews, B.C.; Esposito, T.M.; Duch ne, G.; Kalas, P.; Chen, C.H.; Arriaga, P.; Millar-Blanchaer, M.A.; Debes, J.H.; Draper, Z.H.; et al. (IOP Publishing Ltd, 2021)
      Located in the Lower Centaurus Crux group, HD 106906 is a young, binary stellar system. This system is unique among discovered systems in that it contains an asymmetrical debris disk, as well as an 11 M Jup planet companion, at a separation of ∼735 au. Only a handful of other systems are known to contain both a disk and a directly imaged planet, where HD 106906 is the only one in which the planet has apparently been scattered. The debris disk is nearly edge-on and extends to roughly >500 au, where previous studies with the Hubble Space Telescope have shown the outer regions to have high asymmetry. To better understand the structure and composition of the disk, we have performed a deep polarimetric study of HD 106906's asymmetrical debris disk using newly obtained H-, J-, and K1-band polarimetric data from the Gemini Planet Imager. An empirical analysis of our data supports a disk that is asymmetrical in surface brightness and structure, where fitting an inclined ring model to the disk spine suggests that the disk may be highly eccentric (e ⪆ 0.16). A comparison of the disk flux with the stellar flux in each band suggests a blue color that also does not significantly vary across the disk. We discuss these results in terms of possible sources of asymmetry, where we find that dynamical interaction with the planet companion, HD 106906b, is a likely candidate. © 2021. The American Astronomical Society. All rights reserved.