More Information = Less Aggression? Impact of Information Asymmetry on Chinese Patients' Aggression

Background: Information asymmetry is a widely studied economic phenomenon. It refers to the situation in which one group in a transaction has more information than the other. Nowadays, information asymmetry has been studied not only as a financial topic but also as a potential reason for essential social problems.Objective: To take Chinese doctor–patient relationship as an example and investigate the relationship among information asymmetry, trust level, and aggression behavior using an experimental design.Methods: A total of 44 undergraduates (information asymmetry group, N = 22, 5 males, 17 females, mean age = 18.95, SD = 0.18; information symmetry group, N = 22, 7 males, 15 females, mean age = 19.27, SD = 0.18) took part in our experiment. Different slides and guidance were used to create a virtual information asymmetry situation, and we use the Wake Forest Physician Trust Scale (WFPTS) and the hot sauce allocation paradigm to measure their trust level and aggression, respectively.Results: Participants in the information asymmetry group allocated significantly more hot sauce to the doctor (p <.005, d = 1.09) and displayed significantly lower trust level (p < 0.05, d = −0.78) than the control group. Patients' trust level had a significant mediating effect (95% confidence interval [−1.39, –0.05]).Conclusion: Asymmetric information may arouse patients' aggression and lower their trust in doctors. Patients' trust level is also a significant partial mediator between their aggression and information asymmetry. The current study reinforces the urgent need for information openness in the Chinese medical system

PUF-Assisted Radio Frequency Fingerprinting Exploiting Power Amplifier Active Load-pulling

This paper presents a novel radio frequency fingerprint (RFF) enhancement strategy by exploiting the physical unclonable function (PUF) to tune the RF hardware impairments in a unique and secure manner, which is exemplified by taking power amplifiers (PAs) in RF chains as an example. This is achieved by intentionally and slightly tuning the PA non-linearity characteristics using the active load-pulling technique. The motivation driving the proposed research is to enlarge the RFF feature differences among wireless devices of same vendor, in order to massively improve their RFF classification accuracy in low to medium signal to noise ratio (SNR) channel conditions. PUF is employed to dynamically tune the PA’s RFF feature which guarantees the security since the PUF response cannot be cloned. Specifically, a ring oscillator (RO)-based PUF is implemented to control the PA non-linearity by selecting unique but random configuration parameters. This approach is proposed to amplify the distinctions across same model PAs, thereby enhancing the RFF classification performance. In the meantime, our innovative strategy of PUF-assisted RFF does not noticeably compromise communication link performance which is experimentally tested. The resulting RFF features can be extracted from the received distorted constellation diagrams with the help of image recognition-based machine learning classification algorithms. Extensive experimental evaluations are carried out using both cable-connected and over-the-air (OTA) measurements. Our proposed approach, when classifying eight PAs from a same vendor, achieves 11\% to 24% average classification accuracy improvement by enlarging the RFF feature differences arising from the PA non-linearity

How a second language and its future time reference impacts intertemporal decision: A holistic perspective

Since globalization, using second languages (L2) to make decisions about future is more common than ever. In this study, we tested the merged effect of two language features, i.e., the future-time reference (FTR) and L2, on intertemporal decision and its indirect mediators, future orientation, and subjective future perception. As a pair of languages with different FTR, English (strong-FTR) has a clear grammatical separation between present and future, while Chinese (weak-FTR) does not. Here, Chinese first language (L1) speakers made intertemporal decisions using either Chinese (L1) or English (L2). Across three studies (N=1022) and an internal meta-analysis, we found that using a strong-FTR L2 did not change participants’ intertemporal preference but did reduce their future orientation. These findings highlight a holistic perspective merging language features, outcome variables and measurement methods. These findings also imply a need for caution to use second language as nudge strategy in intertemporal decision-making

Positive valence not equal positive effect: impact of positive meta-stereotypes on the cognitive performance

The aim of this study was to examine how positive meta-stereotypes impacted cognitive performance among disadvantaged groups and the mediating effect of negative emotions. In Experiments 1 and 2, Chinese migrant children and rural college students were randomly allocated to the positive meta-stereotype, negative meta-stereotype, or a non-meta-stereotype activation group to examine positive meta-stereotypes' effect on creativity and working memory performance. Both experiments revealed that positive meta-stereotypes had a choking under-pressure effect on cognitive performance, and negative emotions may act as significant mediators between meta-stereotypes and cognitive performance. The choking under pressure effect may occur under positive meta-stereotypes, necessitating more clarification on meta-stereotypes' negative effects

A Modifying Effect of Trait Empathy on Frustration-Related Attentional Processing of Aggression-Related Words An ERP Study

This study describes two experiments conducted to investigate the modifying effect of trait empathy on attentional processing of emotionally laden (i.e., aggression-related) words in frustrating situations. A dot-probe task was used in the first experiment. The results showed that low-empathy individuals exhibited attentional bias toward aggressive words under both frustrating and nonfrustrating conditions. Highempathy individuals demonstrated attentional bias only under frustrating conditions. In the second experiment, the effect of frustration on highempathy individuals' aggression was reflected by N200, P300, and late positive potential amplitudes. It was discussed that these amplitudes might indicate that frustrating situations caused high-empathy individuals to show attentional bias toward aggressive words. Our findings suggested that high-empathy individuals were sensitive to emotionally laden (i.e., aggression-related) stimuli under frustrating conditions