Tind Technologies (Norway)

IUScholarWorks Open
Not a member yet
    2995 research outputs found

    Challenges and Strategies for Educational Virtual Reality

    No full text
    Virtual reality (VR) is a rich visualization and analytic platform that furthers the library’s mission of providing access to all forms of information and supporting pedagogy and scholarship across disciplines. Academic libraries are increasingly adopting VR technology for a variety of research and teaching purposes, which include providing enhanced access to digital collections, offering new research tools, and constructing new immersive learning environments for students. This trend suggests that positive technological innovation is flourishing in libraries, but there remains a lack of clear guidance in the library community on how to introduce these technologies in effective ways and make them sustainable within different types of institutions. In June 2018, the University of Oklahoma hosted the second of three forums on the use of 3D and VR for visualization and analysis in academic libraries, as part of the project Developing Library Strategy for 3D and Virtual Reality Collection Development and Reuse(LIB3DVR), funded by a grant from the Institute of Museum and Library Services. This qualitative study invited experts from a range of disciplines and sectors to identify common challenges in the visualization and analysis of 3D data, and the management of VR programs, for the purpose of developing a national library strategy

    E3SMv0-HiLAT: A Modified Climate System Model Targeted for the Study of High-Latitude Processes

    No full text
    We document the configuration, tuning, and evaluation of a modified version of the Community Earth System Model version 1 (Hurrell et al., 2013, https://doi.org/10.1175/BAMS-D-12), introduced here as E3SMv0‐HiLAT, intended for study of high‐latitude processes. E3SMv0‐HiLAT incorporates changes to the atmospheric model affecting aerosol transport to high northern latitudes and to reduce shortwave cloud bias over the Southern Ocean. An updated sea ice model includes biogeochemistry that is coupled to an extended version of the ocean model's biogechemistry. This enables cloud nucleation to depend on the changing marine emissions of aerosol precursors, which may be expected in scenarios with strongly changing sea ice extent, oceanic stratification and associated nutrient availability, and atmospheric state. An evaluation of the basic preindustrial state of E3SMv0‐HiLAT is presented in order to ensure that its climate is adequate to support future experimentation. Additional capability is not achieved without some cost, relative to the extraordinarily well‐tuned model from which it was derived. In particular, a reduction of bias in cloud forcing achieved over the Southern Hemisphere also allows for greater Southern Ocean sea ice extent, a tendency that has been partially but not fully alleviated through experimentation and tuning. The most interesting change in the behavior of the model may be its response to greenhouse gas forcing: While the climate sensitivity is found to be essentially unchanged from that of Community Earth System Model version 1, the adjusted radiative forcing has increased from within one standard deviation above that of Coupled Model Intercomparison Project Phase 5 models to nearly two standard deviations

    Site-Selective C-H Halogenation Using Flavin-Dependent Halogenases Identified via Family-Wide Activity Profiling

    No full text
    Enzymes are powerful catalysts for site-selective C–H bond functionalization. Identifying suitable enzymes for this task and for biocatalysis in general remains challenging, however, due to the fundamental difficulty of predicting catalytic activity from sequence information. In this study, family-wide activity profiling was used to obtain sequence–function information on flavin-dependent halogenases (FDHs). This broad survey provided a number of insights into FDH activity, including halide specificity and substrate preference, that were not apparent from the more focused studies reported to date. Regions of FDH sequence space that are most likely to contain enzymes suitable for halogenating small-molecule substrates were also identified. FDHs with novel substrate scope and complementary regioselectivity on large, three-dimensionally complex compounds were characterized and used for preparative-scale late-stage C–H functionalization. In many cases, these enzymes provide activities that required several rounds of directed evolution to accomplish in previous efforts, highlighting that this approach can achieve significant time savings for biocatalyst identification and provide advanced starting points for further evolution

    Improving Estimates of Gross Primary Productivity by Assimilating Solar-Induced Fluorescence Satellite Retrievals in a Terrestrial Biosphere Model Using a Process-Based SIF Model

    No full text
    Over the last few years, solar‐induced chlorophyll fluorescence (SIF) observations from space have emerged as a promising resource for evaluating the spatio‐temporal distribution of gross primary productivity (GPP) simulated by global terrestrial biosphere models. SIF can be used to improve GPP simulations by optimizing critical model parameters through statistical Bayesian data assimilation techniques. A prerequisite is the availability of a functional link between GPP and SIF in terrestrial biosphere models. Here we present the development of a mechanistic SIF observation operator in the ORCHIDEE (Organizing Carbon and Hydrology In Dynamic Ecosystems) terrestrial biosphere model. It simulates the regulation of photosystem II fluorescence quantum yield at the leaf level thanks to a novel parameterization of non‐photochemical quenching as a function of temperature, photosynthetically active radiation, and normalized quantum yield of photochemistry. It emulates the radiative transfer of chlorophyll fluorescence to the top of the canopy using a parametric simplification of the SCOPE (Soil Canopy Observation Photosynthesis Energy) model. We assimilate two years of monthly OCO‐2 (Orbiting Carbon Observatory‐2) SIF product at 0.5° (2015–2016) to optimize ORCHIDEE photosynthesis and phenological parameters over an ensemble of grid points for all plant functional types. The impact on the simulated GPP is considerable with a large decrease of the global scale budget by 28 GtC/year over the period 1990–2009. The optimized GPP budget (134/136 GtC/year over 1990–2009/2001–2009) remarkably agrees with independent GPP estimates, FLUXSAT (137 GtC/year over 2001–2009) in particular and FLUXCOM (121 GtC/year over 1990– 2009). Our results also suggest a biome dependency of the SIF‐GPP relationship that needs to be improved for some plant functional types

    The Importance of Consistent Global Forest Aboveground Biomass Product Validation

    No full text
    Several upcoming satellite missions have core science requirements to produce data for accurate forest aboveground biomass mapping. Largely because of these mission datasets, the number of available biomass products is expected to greatly increase over the coming decade. Despite the recognized importance of biomass mapping for a wide range of science, policy and management applications, there remains no community accepted standard for satellite-based biomass map validation. The Committee on Earth Observing Satellites (CEOS) is developing a protocol to fill this need in advance of the next generation of biomass-relevant satellites, and this paper presents a review of biomass validation practices from a CEOS perspective. We outline the wide range of anticipated user requirements for product accuracy assessment and provide recommendations for the validation of biomass products. These recommendations include the collection of new, high-quality in situ data and the use of airborne lidar biomass maps as tools toward transparent multi-resolution validation. Adoption of community-vetted validation standards and practices will facilitate the uptake of the next generation of biomass products

    Cannabinoid CB2 Agonist AM1710 Differentially Suppresses Distinct Pathological Pain States and Attenuates Morphine Tolerance and Withdrawal

    No full text
    AM1710 (3-(1,1-dimethyl-heptyl)-1-hydroxy-9-methoxy-benzo(c) chromen-6-one), a cannabilactone cannabinoid receptor 2 (CB2) agonist, suppresses chemotherapy-induced neuropathic pain in rodents without producing tolerance or unwanted side effects associated with CB1 receptors; however, the signaling profile of AM1710 remains incompletely characterized. It is not known whether AM1710 behaves as a broad-spectrum analgesic and/or suppresses the development of opioid tolerance and physical dependence. In vitro, AM1710 inhibited forskolin-stimulated cAMP production and produced enduring activation of extracellular signal-regulated kinases 1/2 phosphorylation in human embryonic kidney (HEK) cells stably expressing mCB2. Only modest species differences in the signaling profile of AM1710 were observed between HEK cells stably expressing mCB2 and hCB2. In vivo, AM1710 produced a sustained inhibition of paclitaxel-induced allodynia in mice. In paclitaxel-treated mice, a history of AM1710 treatment (5 mg/kg per day × 12 day, i.p.) delayed the development of antinociceptive tolerance to morphine and attenuated morphine-induced physical dependence. AM1710 (10 mg/kg, i.p.) did not precipitate CB1 receptor–mediated withdrawal in mice rendered tolerant to Δ⁹-tetrahydrocannabinol, suggesting that AM1710 is not a functional CB1 antagonist in vivo. Furthermore, AM1710 (1, 3, 10 mg/kg, i.p.) did not suppress established mechanical allodynia induced by complete Freund’s adjuvant (CFA) or by partial sciatic nerve ligation (PSNL). Similarly, prophylactic and chronic dosing with AM1710 (10 mg/kg, i.p.) did not produce antiallodynic efficacy in the CFA model. By contrast, gabapentin suppressed allodynia in both CFA and PSNL models. Our results indicate that AM1710 is not a broad-spectrum analgesic agent in mice and suggest the need to identify signaling pathways underlying CB2 therapeutic efficacy to identify appropriate indications for clinical translation

    Reality and risk: A refutation of S. Rendón's analysis of the Peruvian Truth and Reconciliation Commission's conflict mortality study

    No full text
    We refute S. Rendón’s recent criticism of the 2003 Peruvian Truth and Reconciliation Commission (TRC) conflict mortality study. We first show that his most important result, an alternative estimate of the mortality due to the Maoist guerrillas of Shining Path (Sendero Luminoso), is lower than existing observed data and is therefore impossible. We then analyze his statistical approach and find that it is affected by a subtle form of selection bias. We contrast his approach to the TRC’s using tools from statistical decision theory, and determine that his method is inadequate for this problem—and that the TRC’s approach is, at minimum, better. Without advocating for the TRC’s original results, we conclude that Rendón’s approach and methods are inferior to the TRC’s original work

    Practical Guidance for Involving Stakeholders in Health Research

    No full text
    Stakeholder engagement is increasingly common in health research, with protocols for engaging multiple stakeholder groups becoming normative in patient-centered outcomes research. Previous work has focused on identifying relevant stakeholder groups with whom to work and on working with stakeholders in evidence implementation. This paper draws on the expertise of a team from four countries—Canada, Australia, the UK, and the USA—to provide researchers with practical guidance for carrying out multi-stakeholder–engaged projects: we present a list of questions to assist in selecting appropriate roles and modes of engagement; we introduce a matrix to help summarize engagement activities; and we provide a list of online resources. This guidance, matrix, and list of resources can assist researchers to consider more systematically which stakeholder groups to involve, in what study roles, and by what modes of engagement. By documenting how stakeholders are paired up with specific roles, the matrix also provides a potential structure for evaluating the impact of stakeholder engagement

    Observation and study of the decay J/ψϕηηJ/\psi\rightarrow\phi\eta\eta'

    No full text
    We report the observation and study of the decay J/ψϕηηJ/\psi\rightarrow\phi\eta\eta' using 1.3×109^9 J/ψJ/\psi events collected with the BESIII detector. Its branching fraction, including all possible intermediate states, is measured to be (2.32±0.06±0.16)×104^{−4}. We also report evidence for a structure, denoted as XX, in the ϕη\phi\eta' mass spectrum in the 2.0−2.1 GeV/c2c^2 region. Using two decay modes of the η\eta' meson (γπ+π\gamma\pi^+\pi^- and ηπ+π\eta\pi^+\pi^-), a simultaneous fit to the ϕη\phi\eta' mass spectra is performed. Assuming the quantum numbers of the XX to be JP=1J^P = 1^-, its significance is found to be 4.4σ\sigma, with a mass and width of (2002.1±27.5±21.4) MeV/c2c^2 and (129±17±9) MeV, respectively, and a product branching fraction B(J/ψηX)×B(Xϕη)=(9.8±1.2±1.7)×105\mathcal{B}(J/\psi\rightarrow\eta{}X)\times{}\mathcal{B}(X\rightarrow\phi\eta')=(9.8 \pm 1.2 \pm 1.7)\times10^{-5}. Alternatively, assuming JP=1+J^P = 1^+, the significance is 3.8σ\sigma, with a mass and width of (2062.8±13.1±7.2) MeV/c2c^2 and (177±36±35) MeV, respectively, and a product branching fraction B(J/ψηX)×B(Xϕη)=(9.6±1.4±2.0)×105\mathcal{B}(J/\psi\rightarrow\eta{}X)\times{}\mathcal{B}(X\rightarrow\phi\eta')=(9.6 \pm 1.4 \pm 2.0)\times10^{-5}. The angular distribution of J/ψηXJ/\psi\rightarrow\eta{}X is studied and the two JPJ^P assumptions of the XX cannot be clearly distinguished due to the limited statistics. In all measurements the first uncertainties are statistical and the second systematic

    685

    full texts

    2,995

    metadata records
    Updated in last 30 days.
    IUScholarWorks Open
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇