2,212 research outputs found

    Consumption, Happiness, and Climate Change

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    In this article, we explore the implications of this literature for understanding the relationship between climate change policies and consumption. We identify a number of ways in which accounting for the implications of the new happiness literature could lead to laws and policies that influence consumption in ways that increase the prospects for reducing greenhouse gas emissions in developed and developing countries. We do not examine every nuance of the growing happiness literature, but we provide a brief introduction and observations that we hope will stimulate further efforts by academicians and policymakers.happiness, life satisfaction, subjective well-being

    Outcome Prediction for Unipolar Depression

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    Although effective drug and non-drug treatment for unipolar depressive illness exist, different individuals respond differently to different treatments. It is not uncommon for a given patient to lw switched several times from one treatment to another until an effective remedy for that particular patient is found. This process is costly in terms of time, money and suffering. It is thus desirable to determine at the outset the likdy response of a patient to the available treatments, so that the optimal one can be selected. Although prior attempts at outcome prediction with linear regression models have failed, recent work on this problem has indicated that the nonlinear predictive techniques of backpropagation and quadratic regression call account for a significant proportion of the variance in the data. The present research applies the nonlinear predictive technique of kernel regression to this problcrn, and employs cross-validation to test the ability of the resulting model to extract, from extremely noisy dinical data, information with predictive value. The importance of comparison with a suitable null hypothesis is illustrated.Office of Naval Research (N00014-95-1-0409

    Climate Change Governance: Boundaries and Leakage

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    This article provides a critical missing piece to the global climate change governance puzzle: how to create incentives for the major developing countries to reduce carbon emissions. The major developing countries are projected to account for 80% of the global emissions growth over the next several decades, and substantial reductions in the risk of catastrophic climate change will not be possible without a change in this emissions path. Yet the global climate governance measures proposed to date have not succeeded and may be locking in disincentives as carbon-intensive production shifts from developed to developing countries. A multi-pronged governance approach will be necessary. We identify a new strategy that will be an important component of any successful effort. Our strategy recognizes that in the context of climate change the simplified Coasian approach to pollution should be updated to include a more complete view of the options firms face in response to emissions reduction pressure and the sources of that pressure. We demonstrate how governments and non-governmental organizations can use expanded corporate carbon reporting boundaries and product carbon disclosure to harness social norms in developed countries. This informal social license pressure, in turn, will create incentives for firms to seek emissions reductions from their domestic and global supply chains. The private market pressure conveyed through supply chains will reduce leakage from developed countries, create new incentives for developing country firms and national governments, and play a surprisingly important role in the formation and implementation of a successful post-Kyoto global policy architecture

    On Toroidal Horizons in Binary Black Hole Inspirals

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    We examine the structure of the event horizon for numerical simulations of two black holes that begin in a quasicircular orbit, inspiral, and finally merge. We find that the spatial cross section of the merged event horizon has spherical topology (to the limit of our resolution), despite the expectation that generic binary black hole mergers in the absence of symmetries should result in an event horizon that briefly has a toroidal cross section. Using insight gained from our numerical simulations, we investigate how the choice of time slicing affects both the spatial cross section of the event horizon and the locus of points at which generators of the event horizon cross. To ensure the robustness of our conclusions, our results are checked at multiple numerical resolutions. 3D visualization data for these resolutions are available for public access online. We find that the structure of the horizon generators in our simulations is consistent with expectations, and the lack of toroidal horizons in our simulations is due to our choice of time slicing.Comment: Submitted to Phys. Rev.

    The Effects of Vilazodone, YL-0919, and Vortioxetine in L-DOPA Treated Hemiparkinsonian Rats

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    Parkinson\u27s Disease (PD) is a debilitating, neurodegenerative disorder characterized by motor symptoms, including bradykinesia, tremor, stiffness, and postural instability, that result from significant nigrostriatal dopamine (DA) loss. The current gold standard treatment for PD involves replacement therapy via the DA precursor L-3,4-dihydroxyphenylalanine (L-DOPA); however, 90% of patients eventually experience choreic and dystonic side effects termed L-DOPA induced dyskinesia (LID). A key driver of LID is neuroplasticity within the serotonin (5-HT) system leading to the unregulated release of L-DOPA derived DA from 5-HT terminals into the striatum. Previous work has implicated the dual action of 5-HT1A receptor agonism and 5-HT transporter (SERT) blockade as an effective therapeutic method for attenuating LID. The present study examined 3 purportedly similar pharmacological drugs, Vilazodone, YL-0919, and Vortioxetine, that act as 5-HT1A agonists and SERT blockers. Adult female Sprague-Dawley rats received unilateral injection of 6-hydroxydopamine (6-OHDA) into the medial forebrain bundle (MFB) to deplete DA neurons. Thereafter they received 2 weeks of L-DOPA treatment until they developed stable abnormal involuntary movement (AIMs) akin to LID. Rats were also assessed for motor performance with the forepaw adjusting steps (FAS) test. Results revealed that Vilazodone and Vortioxetine significantly reduced AIMs and maintained L-DOPA beneficial prokinetic effects. In contrast, YL-0919 unexpectedly had no effect on LID though it did maintain L-DOPA motor performance. Overall, these findings support pharmacological targets within the 5-HT system that reduce LID. They also provide evidence for unique features of Vilazodone and Vortioxetine, both FDA approved compounds, as potential adjunct therapeutics for LID management in PD patients.https://orb.binghamton.edu/research_days_posters_2021/1090/thumbnail.jp

    Assessing neural tuning for object perception in schizophrenia and bipolar disorder with multivariate pattern analysis of fMRI data.

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    IntroductionDeficits in visual perception are well-established in schizophrenia and are linked to abnormal activity in the lateral occipital complex (LOC). Related deficits may exist in bipolar disorder. LOC contains neurons tuned to object features. It is unknown whether neural tuning in LOC or other visual areas is abnormal in patients, contributing to abnormal perception during visual tasks. This study used multivariate pattern analysis (MVPA) to investigate perceptual tuning for objects in schizophrenia and bipolar disorder.MethodsFifty schizophrenia participants, 51 bipolar disorder participants, and 47 matched healthy controls completed five functional magnetic resonance imaging (fMRI) runs of a perceptual task in which they viewed pictures of four different objects and an outdoor scene. We performed classification analyses designed to assess the distinctiveness of activity corresponding to perception of each stimulus in LOC (a functionally localized region of interest). We also performed similar classification analyses throughout the brain using a searchlight technique. We compared classification accuracy and patterns of classification errors across groups.ResultsStimulus classification accuracy was significantly above chance in all groups in LOC and throughout visual cortex. Classification errors were mostly within-category confusions (e.g., misclassifying one chair as another chair). There were no group differences in classification accuracy or patterns of confusion.ConclusionsThe results show for the first time MVPA can be used successfully to classify individual perceptual stimuli in schizophrenia and bipolar disorder. However, the results do not provide evidence of abnormal neural tuning in schizophrenia and bipolar disorder

    An Empirical Assessment of Corporate Environmental Crime-Control Strategies

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    Corporate illegality is often attributed to greed by corporate managers and insufficient legal safeguards. Underlying this argument is an explicit critique of corporate crime regulatory systems. Yet there is little systematic investigation of the relative merits of different types or components of crime-control strategies; research comparing more punitive command-and-control strategies with self-regulatory approaches is particularly lacking. In this Article, we assess these crime prevention-and-control mechanisms in the context of individual and situational risk factors that may increase the likelihood of illegal behavior in the environmental arena. We use data drawn from two groups of business managers who participated in a factorial survey (using vignettes) measuring their intentions to participate in two types of environmental offenses. Generally, results show that the most effective regulatory levers are (1) credible legal sanctions and (2) the certainty and severity of informal discovery by significant others in the firm. We conclude by discussing the implications of our findings for regulatory policy and strategy, and for efforts to account for the role of social norms in corporate environmental compliance
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