Browsing by Subject "SHIFT"
Now showing items 1-4 of 4
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(2021)We investigate the feasibility of inferring economic choices from simple biometric non-choice data. We employ a machine learning approach to assess whether biometric data acquired during sleep, naturally occurring daily chores and participation in an experi-ment can reveal preferences for competitive and team-based compensation schemes. We find that biometric data acquired using wearable devices enable equally accurate out-of-sample prediction for compensation-scheme choice as gender and performance. Our re-sults demonstrate the feasibility of inferring economic choices from simple biometric data without observing past decisions. However, we find that biometric data recorded in nat-urally occurring environments during daily chores and sleep add little value to out-of-sample predictions. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
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(2019)The nonsteroidal anti-inflammatory drug (NSAID) niflumic acid, a fenamate in structure, has many molecular targets, one of them being specific subtypes of the main inhibitory ligand-gated anion channel, the GABA(A) receptor. Here, we report on the effects of other fenamates and other classes of NSAIDs on brain picrotoxinin-sensitive GABA A receptors, using an autoradiographic assay with [S-35]TBPS as a ligand on mouse brain sections. We found that the other fenamates studied (flufenamic acid, meclofenamic acid, mefenamic acid and tolfenamic acid) affected the autoradiographic signal at low micromolar concentrations in a facilitatory-like allosteric fashion, i.e., without having affinity to the [S-35]TBPS binding site. Unlike niflumic acid that shows clear preference for inhibiting cerebellar granule cell layer GABA(A) receptors, the other fenamates showed little brain regional selectivity, indicating that their actions are not receptor-subtype selective. Of the non-fenamate NSAIDs studied at 100 mu M concentration, diclofenac induced the greatest inhibition of the binding, which is not surprising as it has close structural similarity with the potent fenamate meclofenamic acid. Using two-electrode voltage-clamp assays on Xenopus oocytes, the effect of niflumic acid was found to be dependent on the beta subunit variant and the presence of gamma 2 subunit in rat recombinant alpha 1 beta and alpha 1 beta gamma 2 GABA(A) receptors, with the beta 1 allowing the niflumic acid inhibition and beta 3 the stimulation of the receptor-mediated currents. In summary, the fenamate NSAID5 constitute an interesting class of compounds that could be used for development of potent GABA(A) receptor allosteric agonists with other targets to moderate inflammation, pain and associated anxiety/depression.
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(2020)This article examines how future diets could reduce the environmental impacts of food systems, and thus, enable movement into the post-Anthropocene. Such non-anthropocentric diets are proposed to address global food systems challenges inherent in the current geological epoch known as the Anthropocene-a period when human activity is the dominant cause of environmental change. Using non-anthropocentric indigenous worldviews and object-oriented ecosophy, the article discusses changes in ontologies around diets to consider choices made in the present for sustainable future food systems. This article conceptually addresses, how can pre-Anthropocene ontologies guide an exit of current approaches to diets? Considering temporality, what post-Anthropocene ontologies are possible in future diets for sustainable food systems? Through the ontological positions defining three distinct temporalities, considerations for guiding future diets in(to) the post-Anthropocene are proposed. Indigenous ontologies are presented as pre-Anthropocene examples that depict humans and non-humans in relational diets. Underlying Anthropocene ontologies define current unsustainable diets. These ontologies are described to present the context for the food systems challenges this article aims to address. A post-Anthropocene illustration then employs object-oriented ecosophy along with indigenous ontologies as theoretical foundations for shifting from the dominant neoliberal paradigm in current ontologies. Ontologically-based dietary guidelines for the post-Anthropocene diet present the ontological turns, consideration of temporality, and outline technological orientations proposed for sustainable future food systems. This is a novel attempt to integrate non-anthropocentric theories to suggest possible futures for human diets in order to exit the Anthropocene epoch. These non-anthropocentric ontologies demonstrate how temporal considerations and relational worldviews can be guidelines for transforming diets to address public health concerns, the environmental crisis, and socioeconomic challenges.
