120 research outputs found

    Experimental Law and Economics

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    This chapter provides a framework for assessing the contributions of experiments in Law and Economics. We identify criteria for determining the validity of an experiment and find that these criteria depend upon both the purpose of the experiment and the theory of behavior implicated by the experiment. While all experiments must satisfy the standard experimental desiderata of control, falsifiability of theory, internal consistency, external consistency and replicability, the question of whether an experiment also must be contextually attentive - in the sense of matching the real world choice being studied - depends on the underlying theory of decision-making being tested or implicated by the experiment. We find that the importance of contextual attentiveness depends on whether the experiment tests or implicates a nitary-process theory of decision-making or a multiple-process theory. Unitary-process theories posit that people employ a single operational approach to make decisions across a broad (or universal) domain of activity. Rational Choice Theory is a unitary-process theory. Because unitary-process theories posit that people employ the same decision-making program in all contexts, experimenters can falsify a unitary-process theory using an experimental choice which bears little resemblance to any real-world choice. Faith in a unitary process account also permits legal policymakers to draw broad normative implications from experiments involving quite artificial choices. By contrast, multiple-process theories hold that people employ multiple decision-making programs when they make choices. Moreover, the relative impact of these programs can depend on the context of the decision. This posited interaction between context and decision-making implies that experimentalists seeking to examine legal decision-making must be sensitive to contextual factors likely to affect deliberative and non-conscious programs in the real world. In addition, policymakers must proceed cautiously before using experimental evidence to draw normative policy conclusions because experimental results may not be robust across contexts

    Endowment Effects Within Corporate Agency Relationships

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    Behavioral economics is an increasingly prominent field within corporate law scholarship. A particularly noteworthy behavioral bias is the endowment effect – the observed differential between an individual\u27s willingness to pay to obtain an entitlement and her willingness to accept to part with one. Should endowment effects pervade corporate contexts, they would significantly complicate much common wisdom within business law, such as the presumed optimality of ex ante agreements. Existing research, however, does not adequately address the extent to which people manifest endowment effects within agency relationships. This article presents an experimental test for endowment effects for subjects situated in an agency relationship that typifies many firms. We find that subjects do not exhibit significant endowment effects. An additional experimental test suggests that this finding may be largely due to framing: subjects situated as agents may view entitlements principally in terms of exchange value, thereby dampening endowment

    Addressing Barriers to Breast Cancer Screening: Where to Intervene to Increase Mammogram Completion Rates

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    Methods: Study sought to determine if an intervention would aid in increasing mammogram screening rates in the Jefferson Family Medicine Associates practice.https://jdc.jefferson.edu/patientsafetyposters/1061/thumbnail.jp

    RECOMED: A Comprehensive Pharmaceutical Recommendation System

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    A comprehensive pharmaceutical recommendation system was designed based on the patients and drugs features extracted from Drugs.com and Druglib.com. First, data from these databases were combined, and a dataset of patients and drug information was built. Secondly, the patients and drugs were clustered, and then the recommendation was performed using different ratings provided by patients, and importantly by the knowledge obtained from patients and drug specifications, and considering drug interactions. To the best of our knowledge, we are the first group to consider patients conditions and history in the proposed approach for selecting a specific medicine appropriate for that particular user. Our approach applies artificial intelligence (AI) models for the implementation. Sentiment analysis using natural language processing approaches is employed in pre-processing along with neural network-based methods and recommender system algorithms for modeling the system. In our work, patients conditions and drugs features are used for making two models based on matrix factorization. Then we used drug interaction to filter drugs with severe or mild interactions with other drugs. We developed a deep learning model for recommending drugs by using data from 2304 patients as a training set, and then we used data from 660 patients as our validation set. After that, we used knowledge from critical information about drugs and combined the outcome of the model into a knowledge-based system with the rules obtained from constraints on taking medicine.Comment: 39 pages, 14 figures, 13 table

    Global patterns of diapycnal mixing from measurements of the turbulent dissipation rate

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    The authors present inferences of diapycnal diffusivity from a compilation of over 5200 microstructure profiles. As microstructure observations are sparse, these are supplemented with indirect measurements of mixing obtained from (i) Thorpe-scale overturns from moored profilers, a finescale parameterization applied to (ii) shipboard observations of upper-ocean shear, (iii) strain as measured by profiling floats, and (iv) shear and strain from full-depth lowered acoustic Doppler current profilers (LADCP) and CTD profiles. Vertical profiles of the turbulent dissipation rate are bottom enhanced over rough topography and abrupt, isolated ridges. The geography of depth-integrated dissipation rate shows spatial variability related to internal wave generation, suggesting one direct energy pathway to turbulence. The global-averaged diapycnal diffusivity below 1000-m depth is O(10?4) m2 s?1 and above 1000-m depth is O(10?5) m2 s?1. The compiled microstructure observations sample a wide range of internal wave power inputs and topographic roughness, providing a dataset with which to estimate a representative global-averaged dissipation rate and diffusivity. However, there is strong regional variability in the ratio between local internal wave generation and local dissipation. In some regions, the depth-integrated dissipation rate is comparable to the estimated power input into the local internal wave field. In a few cases, more internal wave power is dissipated than locally generated, suggesting remote internal wave sources. However, at most locations the total power lost through turbulent dissipation is less than the input into the local internal wave field. This suggests dissipation elsewhere, such as continental margins

    Expression of Stretch-Activated Two-Pore Potassium Channels in Human Myometrium in Pregnancy and Labor

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    Background: We tested the hypothesis that the stretch-activated, four-transmembrane domain, two pore potassium channels (K2P), TREK-1 and TRAAK are gestationally-regulated in human myometrium and contribute to uterine relaxation during pregnancy until labor. Methodology: We determined the gene and protein expression of K2P channels in non-pregnant, pregnant term and preterm laboring myometrium. We employed both molecular biological and functional studies of K2P channels in myometrial samples taken from women undergoing cesarean delivery of a fetus. Principal Findings: TREK-1, but not TREK-2, channels are expressed in human myometrium and significantly up-regulated during pregnancy. Down-regulation of TREK-1 message was seen by Q-PCR in laboring tissues consistent with a role for TREK-1 in maintaining uterine quiescence prior to labor. The TRAAK channel was unregulated in the same women. Blockade of stretch-activated channels with a channel non-specific tarantula toxin (GsMTx-4) or the more specific TREK-1 antagonist L-methionine ethyl ester altered contractile frequency in a dose-dependent manner in pregnant myometrium. Arachidonic acid treatment lowered contractile tension an effect blocked by fluphenazine. Functional studies are consistent with a role for TREK-1 in uterine quiescence. Conclusions: We provide evidence supporting a role for TREK-1 in contributing to uterine quiescence during gestation an
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