16,980 research outputs found
Repeated games with asymmetric information and random price fluctuations at finance markets : the case of countable state space
This paper is concerned with multistage bidding models introduced by De Meyer and Moussa Saley (2002) to analyze the evolution of the price system at finance markets with asymmetric information. The zero-sum repeated games with incomplete information are considered modeling the bidding with countable sets of possible prices and admissible bids. It is shown that, if the liquidation price of a share has a finite variance, then the sequence of values of n-step games is bounded and converges to the value of the game with infinite number of steps. We construct explicitly the optimal strategies for this game. The optimal strategy of Player 1 (the insider) generates a symmetric random walk of posterior mathematical expectations of liquidation price with absorption. The expected duration of this random walk is equal to the initial variance of liquidation price. The guaranteed total gain of Player 1 (the value of the game) is equal to this expected duration multiplied with the fixed gain per step.Multistage bidding, asymmetric information, repeated games, optimal strategy.
Do 18-month-olds really attribute mental states to others? A critical test
In the research reported here, we investigated whether 18-month-olds would use their own past experience of visual access to attribute perception and consequent beliefs to other people. Infants in this study wore either opaque blindfolds (opaque condition) or trick blindfolds that looked opaque but were actually transparent (trick condition). Then both groups of infants observed an actor wearing one of the same blindfolds that they themselves had experienced, while a puppet removed an object from its location. Anticipatory eye movements revealed that infants who had experienced opaque blindfolds expected the actor to behave in accordance with a false belief about the object's location, but that infants who had experienced trick blindfolds did not exhibit that expectation. Our results suggest that 18-month-olds used self-experience with the blindfolds to assess the actor's visual access and to update her belief state accordingly. These data constitute compelling evidence that 18-month-olds infer perceptual access and appreciate its causal role in altering the epistemic states of other people
What Difference do Bystanders Make? The Association of Bystander Involvement with Victim Outcomes in a Community Sample
Objective: To fill gaps in the bystander literature by describing patterns of bystander involvement and associations between bystander involvement and victim outcomes across different types of emotional, physical, and sexual victimizations and to expand these considerations to a rural rather than urban sample. Method: Adults and adolescents (n = 1,703) were surveyed about bystander actions, bystander safety, and victim outcomes (injury, disrupted routine, fear level, and current mental health) for 10 forms of victimization. Results: Bystanders were present for roughly 2 thirds of most victimization types (59% to 67%), except sexual victimization (17%). Relatives were the most common bystanders of family violence and friends or acquaintances were the most common bystanders of peer violence. For all 10 victimizations, more bystanders helped than harmed the situation, but most commonly had no impact. Rates of bystander harm for sexual victimizations were higher than for other types. Especially for peer-perpetrated incidents, victim outcomes were often better when bystanders helped. Bystander safety (unharmed and unthreatened) was consistently associated with better victim outcomes. Conclusion: Bystanders witness the majority of physical and psychological victimizations. These data lend support to the premise of many prevention programs that helpful bystanders are associated with more positive victim outcomes. Bystander prevention should focus on the type of bystanders most commonly present and should teach bystanders ways to stay safe while helping victims
Baby steps: investigating the development of perceptual-motor couplings in infancy
There are cells in our motor cortex that fire both when we perform and when we observe similar actions. It has been suggested that these perceptual-motor couplings in the brain develop through associative learning during correlated sensorimotor experience. Although studies with adult participants have provided support for this hypothesis, there is no direct evidence that associative learning also underlies the initial formation of perceptual–motor couplings in the developing brain. With the present study we addressed this question by manipulating infants’ opportunities to associate the visual and motor representation of a novel action, and by investigating how this influenced their sensorimotor cortex activation when they observed this action performed by others. Pre-walking 7–9-month-old infants performed stepping movements on an infant treadmill while they either observed their own real-time leg movements (Contingent group) or the previously recorded leg movements of another infant (Non-contingent control group). Infants in a second control group did not perform any steps and only received visual experience with the stepping actions. Before and after the training period we measured infants’ sensorimotor alpha suppression, as an index of sensorimotor cortex activation, while they watched videos of other infants’ stepping actions. While we did not find greater sensorimotor alpha suppression following training in the Contingent group as a whole, we nevertheless found that the strength of the visuomotor contingency experienced during training predicted the amount of sensorimotor alpha suppression at post-test in this group. We did not find any effects of motor experience alone. These results suggest that the development of perceptual–motor couplings in the infant brain is likely to be supported by associative learning during correlated visuomotor experience
Electroweak Precision Observables and the Unhiggs
We compute one-loop corrections to the S and T parameters in the Unhiggs
scenario. In that scenario, the Standard Model Higgs is replaced by a non-local
object, called the Unhiggs, whose spectral function displays a continuum above
the mass gap. The Unhiggs propagator has effectively the same UV properties as
the Standard Model Higgs propagator, which implies that loop corrections to the
electroweak precision observables are finite and calculable. We show that the
Unhiggs is consistent with electroweak precision tests when its mass gap is at
the weak scale; in fact, it then mimics a light SM Higgs boson. We also argue
that the Unhiggs, while being perfectly visible to electroweak precision
observables, is invisible to detection at LEP.Comment: 13 pages; v2: references added, discussion of production
cross-section expande
Culture-Based Environmental Microbiology Monitoring of Crop-Based Space Food Systems (veggie Monitoring)
Crewmembers live and work in a closed environment that is monitored to ensure their health and safety. Quarterly monitoring of the microorganisms in the International Space Station (ISS) environment supports crew safety and contributes to a large set of microbial concentration and diversity data from air, surfaces and water samples. This study leverages quarterly operational Environmental Health System (EHS) sampling by collecting additional microbial samples from the surface of the stations Veggie plant production system. Longer exploration missions may require spaceflight-based systems for growth of plants, and this investigation is expected to provide additional data to help establish requirements to protect these systems, plants, and crew, mitigating adverse microbial exposure
The association between life events, social support, and antibody status following thymus-dependent and thymus-independent vaccinations in healthy young adults
This study determined whether stressful life events and social support were related to antibody status following both thymus-dependent and thymus-independent vaccinations. Life events in the previous year and customary social support were measured in 57 healthy students at baseline. Antibody status was also assessed at baseline and at five weeks and five months following vaccination with the trivalent influenza vaccine and the meningococcal A+C polysaccharide vaccine. Taking into account baseline antibody titre, high life events scores prior to vaccination were associated with lower responses to the B/Shangdong influenza strain at both five weeks and five months and meningococcal C at five weeks. Life events scores were not associated with response to the other two influenza viral strains nor response to meningococcal A. Those with high social support scores had stronger 5-week and 5-month antibody responses to the A/Panama influenza strain, but not to any of the other strains. These associations could not be accounted for by demographic or health behaviour factors, and also emerged from analyses comparing those who exhibited a four-fold increase in antibody titre from baseline with those who did not. Life events and social support were related to antibody status following influenza vaccination in distinctive ways that may be partly determined by vaccine novelty and prior naturalistic exposure. Life events also predicted poor antibody response to meningococcal C polysaccharide vaccination after previous meningococcal C conjugate vaccination. Neither psychosocial factor was associated with response to primary meningococcal A polysaccharide vaccination
On the Ground Validation of Online Diagnosis with Twitter and Medical Records
Social media has been considered as a data source for tracking disease.
However, most analyses are based on models that prioritize strong correlation
with population-level disease rates over determining whether or not specific
individual users are actually sick. Taking a different approach, we develop a
novel system for social-media based disease detection at the individual level
using a sample of professionally diagnosed individuals. Specifically, we
develop a system for making an accurate influenza diagnosis based on an
individual's publicly available Twitter data. We find that about half (17/35 =
48.57%) of the users in our sample that were sick explicitly discuss their
disease on Twitter. By developing a meta classifier that combines text
analysis, anomaly detection, and social network analysis, we are able to
diagnose an individual with greater than 99% accuracy even if she does not
discuss her health.Comment: Presented at of WWW2014. WWW'14 Companion, April 7-11, 2014, Seoul,
Kore
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Open science: policy implications for the evolving phenomenon of user-led scientific innovation
From contributions of astronomy data and DNA sequences to disease treatment research, scientific activity by non-scientists is a real and emergent phenomenon, and raising policy questions. This involvement in science can be understood as an issue of access to publications, code, and data that facilitates public engagement in the research process, thus appropriate policy to support the associated welfare enhancing benefits is essential. Current legal barriers to citizen participation can be alleviated by scientists' use of the "Reproducible Research Standard," thus making the literature, data, and code associated with scientific results accessible. The enterprise of science is undergoing deep and fundamental changes, particularly in how scientists obtain results and share their work: the promise of open research dissemination held by the Internet is gradually being fulfilled by scientists. Contributions to science from beyond the ivory tower are forcing a rethinking of traditional models of knowledge generation, evaluation, and communication. The notion of a scientific "peer" is blurred with the advent of lay contributions to science raising questions regarding the concepts of peer-review and recognition. New collaborative models are emerging around both open scientific software and the generation of scientific discoveries that bear a similarity to open innovation models in other settings. Public engagement in science can be understood as an issue of access to knowledge for public involvement in the research process, facilitated by appropriate policy to support the welfare enhancing benefits deriving from citizen-science
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