5,005 research outputs found

    Immediate Emotional States as Predictors of Risk Preferences

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    The interaction between emotions and cognitive processes has been one of the most investigated topics in last decades, with particular attention being paid to emotional influences in decision making. More recently, the processes by which people control and regulate their emotional states also became a topic of interest. The aim of the current study was to investigate how underlying immediate emotional states and communication of risk impact participants’ risk preferences for gambles. In one study we measured positive and negative immediate affective states and choice preferences under risk. Specifically, participants were presented with abstract monetary gambles in which they were required to choose between a probabilistic gain or loss and a certain option. We found that positive and negative emotional states as well as communication format of risk influenced behavioural patterns of preferences. Future research can build on these results and include emotion based parameters in decision making models

    Are Personal Values Associated with Social Decisions? The Role of Self-Transcendence in Promoting Prosocial Outcomes

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    Social situations require people to make complex decisions, sometimes involving different outcomes for the self and others. The aim of this study is to investigate personal values as possible factors associated with a preference for more self-maximizing or cooperative choices. In an adult sample (N = 63), we assessed participants’ tendency towards prosocial or proself outcomes and 4 higher-order values, namely openness to change, conservation, self-transcendence, and self-enhancement. We expected self-transcendence to be positively associated with more prosocial orientations. Our result confirmed that self-transcendence was positively correlated with prosociality whereas no other higher-order values were associated with social values. Participants with increased self-transcendence also have an inclination towards more prosocial behaviors. Our data also revealed that inequality aversion was the primary motivation of prosocials, and this result was unrelated to gender effects or the personal values under investigation. Supporting the theory of basic individual values, our results show that the higher-order value of self-transcendence is a significant positive correlate of prosocial behaviors in a resources allocation task

    Psychological Engagement in Choice and Judgment Under Risk and Uncertainty.

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    Theories of choice and judgment assume that agents behave rationally, choose the higher expected value option, and evaluate the choice consistently (Expected Utility Theory, Von Neumann, & Morgenstern, 1947). However, researchers in decision-making showed that human behaviour is different in choice and judgement tasks (Slovic & Lichtenstein, 1968; 1971; 1973). In this research, we propose that psychological engagement and control deprivation predict behavioural inconsistencies and utilitarian performance with judgment and choice. Moreover, we explore the influences of engagement and control deprivation on agent’s behaviours, while manipulating content of utility (Kusev et al., 2011, Hertwig & Gigerenzer 1999, Tversky & Kahneman, 1996) and decision reward (Kusev et al, 2013, Shafir et al., 2002)

    Participants’ Utilitarian Choice Is Influenced by Gamble Presentation and Age

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    No prior behavioral science research has delved into the impact of gamble presentation (horizontal or vertical) on individuals’ utilitarian behavior, despite evidence suggesting that such choices can be influenced by comparing attributes like probability and money in gambles. This article addresses this gap by exploring the influence of gamble presentation on utilitarian behavior. A two-factor independent measures design was employed to explore the influence of the type of gamble presentation and age on participants’ utilitarian decision-making preferences. The findings showed a reduced likelihood of participants choosing the non-utilitarian gamble with vertically presented gambles compared to horizontal ones. Consequently, participants’ utilitarian behavior was influenced by between-gamble comparisons of available attributes, with utilitarian choices (e.g., choosing Gamble A) being more prevalent in vertical presentations due to a straightforward comparison on the probability attribute. Furthermore, the results also revealed that older participants take more time than their younger counterparts when making utilitarian errors. We attribute this to their abundant knowledge and experience. Future research should explore the comparative psychological processing used by participants in risky decision-making tasks

    Detecting level crossings without looking at the spectrum

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    In many physical systems it is important to be aware of the crossings and avoided crossings which occur when eigenvalues of a physical observable are varied using an external parameter. We have discovered a powerful algebraic method of finding such crossings via a mapping to the problem of locating the roots of a polynomial in that parameter. We demonstrate our method on atoms and molecules in a magnetic field, where it has implications in the search for Feshbach resonances. In the atomic case our method allows us to point out a new class of invariants of the Breit-Rabi Hamiltonian of magnetic resonance. In the case of molecules, it enables us to find curve crossings with practically no knowledge of the corresponding Born-Oppenheimer potentials.Comment: 4 pages, new title, no figures, accepted by Phys. Rev. Let

    Simulating hemispatial neglect with virtual reality

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    <p>Abstract</p> <p>Background</p> <p>Hemispatial neglect is a cognitive disorder defined as a lack of attention for stimuli contra-lateral to the brain lesion. The assessment is traditionally done with basic pencil and paper tests and the rehabilitation programs are generally not well adapted. We propose a virtual reality system featuring an eye-tracking device for a better characterization of the neglect that will lead to new rehabilitation techniques.</p> <p>Methods</p> <p>This paper presents a comparison of eye-gaze patterns of healthy subjects, patients and healthy simulated patients on a virtual line bisection test. The task was also executed with a reduced visual field condition hoping that fewer stimuli would limit the neglect.</p> <p>Results</p> <p>We found that patients and healthy simulated patients had similar eye-gaze patterns. However, while the reduced visual field condition had no effect on the healthy simulated patients, it actually had a negative impact on the patients. We discuss the reasons for these differences and how they relate to the limitations of the neglect simulation.</p> <p>Conclusion</p> <p>We argue that with some improvements the technique could be used to determine the potential of new rehabilitation techniques and also help the rehabilitation staff or the patient's relatives to better understand the neglect condition.</p

    Evaluating and predicting agricultural management effects under tile drainage using modified APSIM

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    An accurate and management sensitive simulation model for tile-drained Midwestern soils is needed to optimize the use of agricultural management practices (e.g., winter cover crops) to reduce nitrate leaching without adversely affecting corn yield. Our objectives were to enhance the Agricultural Production Systems Simulator (APSIM) for tile drainage, test the modified model for several management scenarios, and then predict nitrate leaching with and without winter wheat cover crop. Twelve years of data (1990–2001) from northeast Iowa were used for model testing. Management scenarios included continuous corn and corn–soybean rotations with single or split N applications. For 38 of 44 observations, yearly drain flow was simulated within 50 mm of observed for low drainage (\u3c 100 mm) or within 30% of observed for high drain flow. Corn yield was simulated within 1500 kg/ha for 12 of 24 observations. For 30 of 45 observations yearly nitrate-N loss in tile drains was simulated within 10 kg N/ha for low nitrate-N loss (\u3c 20 kg N/ha) or within 30% of observed for high nitrate-N loss. Several of the poor yield and nitrate-N loss predictions appear related to poor N-uptake simulations. The model accurately predicted greater corn yield under split application (140–190 kg N/ha) compared to single 110 kg N/ha application and higher drainage and nitrate-N loss under continuous corn compared to corn/soybean rotations. A winter wheat cover crop was predicted to reduce nitrate-N loss 38% (341 vs. 537 kg N/ha with and without cover) under 41-years of corn-soybean rotations and 150 kg N/ha applied to corn. These results suggest that the modified APSIM model is a promising tool to help estimate the relative effect of alternative management practices under fluctuating high water tables

    Dynamical Mean-Field Theory of Electron-Phonon Interactions in Correlated Systems: Application to Isotope Effects on Electronic Properties

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    We use a recently developed formalism (combining an adiabatic expansion and dynamical mean-field theory) to obtain expressions for isotope effects on electronic properties in correlated systems. As an example we calculate the isotope effect on electron effective mass for the Holstein model as a function of electron-phonon interaction strength and doping. Our systematic expansion generates diagrams neglected in previous studies, which turn out to give the dominant contributions. The isotope effect is small unless the system is near a lattice instability. We compare this to experiment.Comment: 6 pages, 4 figures; added discussion of isotope effect away from half fillin

    Towards Open and Equitable Access to Research and Knowledge for Development

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    Leslie Chan and colleagues discuss the value of open access not just for access to health information, but also for transforming structural inequity in current academic reward systems and for valuing scholarship from the South
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