Collective UK nostalgia predicts a desire to leave the European Union.

Collective nostalgia is an emotion experienced when one sentimentally recalls events or things related to a particular social identity. We investigated the relationship between collective nostalgia about the United Kingdom (UK) and UK citizens' desire to leave the European Union (EU). We collected data of UK citizens twice prior to the UK's official withdrawal from the European Union (N = 347 and N = 240) and once afterwards (N = 236). Cross-sectional and longitudinal analysis, utilizing cross-lagged panel models, supported the hypothesis that collective UK nostalgia increased the desire to leave the European Union. We additionally hypothesized that the relationship between these variables would be mediated positively by ties to UK citizens and negatively by ties to EU citizens. Exploratory and longitudinal analysis, however, indicated that strength of ties to UK and EU citizens predicts levels of collective UK nostalgia which, in turn, predicts desire to leave the European Union. Specifically, ties to UK citizens were associated with increased collective nostalgia and a desire to leave the EU and ties to EU citizens were associated with reduced collective nostalgia and a desire to re-join the European Union. We discuss the implications of the findings as well as making suggestions for future studies.

AI-Based Decision-Support System for Diagnosing Acanthamoeba Keratitis Using In Vivo Confocal Microscopy Images.

Purpose: In vivo confocal microscopy (IVCM) of the cornea is a valuable tool for clinical assessment of the cornea but does not provide stand-alone diagnostic support. The aim of this work was to develop an artificial intelligence (AI)-based decision-support system (DSS) for automated diagnosis of Acanthamoeba keratitis (AK) using IVCM images. Methods: The automated workflow for the AI-based DSS was defined and implemented using deep learning models, image processing techniques, rule-based decisions, and valuable input from domain experts. The models were evaluated with 5-fold-cross validation on a dataset of 85 patients (47,734 IVCM images from healthy, AK, and other disease cases) collected at a single eye clinic in Sweden. The developed DSS was validated on an additional 26 patients (21,236 images). Results: Overall, the DSS uses as input raw unprocessed IVCM image data, successfully separates artefacts from true images (93% accuracy), then classifies the remaining images by their corneal layer (90% accuracy). The DSS subsequently predicts if the cornea is healthy or diseased (95% model accuracy). In disease cases, the DSS detects images with AK signs with 84% accuracy, and further localizes the regions of diagnostic value with 76.5% accuracy. Conclusions: The proposed AI-based DSS can automatically and accurately preprocess IVCM images (separating artefacts and sorting images into corneal layers) which decreases screening time. The accuracy of AK detection using raw IVCM images must be further explored and improved. Translational Relevance: The proposed automated DSS for experienced specialists assists in diagnosing AK using IVCM images.

A cognitive balance approach to understanding intergroup attitudes in post-Brexit Northern Ireland.

Cognitive balance theory posits that a drive for cognitively consistent thoughts modulates interpersonal relations. We extended cognitive balance theory to intergroup relations and tested it in a real-life setting where intergroup relations are under strain: Northern Ireland in the wake of the UK's withdrawal from the EU. We predicted that when the groups of Irish people and British people in Northern Ireland are perceived as more compatible, intergroup bias would be lower than when groups are perceived as less compatible. We collected data of residents of Northern Ireland before the UK's official withdrawal from the EU (N = 604) and after (N = 350). As hypothesized, attitudes towards British people positively related to attitudes towards Irish people when participants perceived the groups as more compatible. We found the opposite relationship at low levels of perceived compatibility. Exploratory cross-lagged panel analyses did not show that these effects occurred longitudinally, suggesting that cognitive balance does not drive judgements over time possibly because people are less likely to notice inconsistent responses across different time points. The present research demonstrates that intergroup attitudes assessed at a certain point in time follow cognitive balance principles.

Biased perception of distributions: Anchoring, interpolation and smoothing as potential causes.

Perceiving the degree of variation in the social and non-social environment is a cognitive task that is important for many judgments and decisions. In the present research, we investigated cognitive underpinnings of how people estimate the average value of segments of a statistical distribution (e.g., what is the average income of the richest 25% of a population?). In three experiments (total N = 222), participants learned about the values of experimentally created distributions of income values and city sizes and later estimated the mean value of the four quarters of values. We expected participants to draw on heuristic shortcuts to generate such judgments. More specifically, we hypothesized that participants use the endpoints of the distributions as anchors and determine the mean values by linear interpolation. In addition, we tested the contribution of three further processes (Range-Frequency adjustments, Normal Smoothing, Linear Smoothing). Quantitative model tests suggest that anchoring and Linear Smoothing both affected mean interquartile judgments. This conclusion is corroborated by tests of qualitative predictions of the models under consideration.

Pandemic threat and group cohesion: national identification in the wake of COVID-19 is associated with authoritarianism.

Authoritarianism emerges in times of societal threat, in part driven by desires for group-based security. As such, we propose that the threat caused by the COVID-19 pandemic was associated with increased authoritarian tendencies and that this can be partially explained by increased national identification. We tested this hypothesis by collecting cross-sectional data from three different countries in April 2020. In Study 1, data from Ireland (N = 1276) showed that pandemic threat predicted increased national identification, which in turn predicted authoritarianism. In Study 2, we replicated this indirect effect in a representative UK sample (N = 506). In Study 3, we used an alternative measure of authoritarianism and conceptually replicated this effect among USA citizens (N = 429). In this US sample, the association between threat and authoritarian tendencies was stronger among progressives compared to conservatives. Findings are discussed and linked to group-based models of authoritarianism.

Moral Identity Predicts Adherence to COVID-19 Mitigation Procedures Depending on Political Ideology: A Comparison Between the USA and New Zealand.

Reducing the spread of infectious viruses (e.g., COVID-19) can depend on societal compliance with effective mitigations. Identifying factors that influence adherence can inform public policy. In many cases, public health messaging has become highly moralized, focusing on the need to act for the greater good. In such contexts, a person's moral identity may influence behavior and serve to increase compliance through different mechanisms: if a person sees compliance as the right thing to do (internalization) and/or if a person perceives compliance as something others will notice as the right thing to do (symbolization). We argue that in societies that are more politically polarized, people's political ideology may interact with their moral identity to predict compliance. We hypothesized that where polarization is high (e.g., USA), moral identity should positively predict compliance for liberals to a greater extent than for conservatives. However, this effect would not occur where polarization is low (e.g., New Zealand). Moral identity, political ideology, and support for three different COVID-19 mitigation measures were assessed in both nations (N = 1,980). Results show that while moral identity can influence compliance, the political context of the nation must also be taken into account.

Moved by Social Justice: The Role of Kama Muta in Collective Action Toward Racial Equality.

Participation in collective action is known to be driven by two appraisals of a social situation: Beliefs that the situation is unfair (injustice appraisal) and beliefs that a group can change the situation (collective efficacy appraisal). Anger has been repeatedly found to mediate the relationship between injustice appraisals and collective action. Recent work suggests that the emotion of being moved mediates the relationship between efficacy appraisals and collective action. Building on this prior work, the present research applies kama muta theory to further investigate the relationship between efficacy appraisals and collective action. Kama muta is a positive emotion that is evoked by a sudden intensification of communal sharing, and largely overlaps with the English concept being moved. We investigated its relationship with collective action in both advantaged and disadvantaged racial groups in the context of the Black Lives Matter Movement (BLM) in Spring of 2020. In one pilot study (N = 78) and one main study (N = 215), we confirmed that anger toward the system of racial inequalities mediated between injustice and collective action intentions, and that kama muta toward the movement mediated between collective efficacy and collective action intentions. Both mediations were found for both Black and White participants. We also observed additional unpredicted paths from anger to kama muta and from efficacy to anger. Together, this provides evidence for the pivotal role of emotions in collective action intentions, but also points out that appraisals need to be better understood.

Laser-Induced Interdigital Structured Graphene Electrodes Based Flexible Micro-Supercapacitor for Efficient Peak Energy Storage.

The rapidly developing demand for lightweight portable electronics has accelerated advanced research on self-powered microsystems (SPMs) for peak power energy storage (ESs). In recent years, there has been, in this regard, a huge research interest in micro-supercapacitors for microelectronics application over micro-batteries due to their advantages of fast charge-discharge rate, high power density and long cycle-life. In this work, the optimization and fabrication of micro-supercapacitors (MSCs) by means of laser-induced interdigital structured graphene electrodes (LIG) has been reported. The flexible and scalable MSCs are fabricated by CO2-laser structuring of polyimide-based Kapton ® HN foils at ambient temperature yielding interdigital LIG-electrodes and using polymer gel electrolyte (PGE) produced by polypropylene carbonate (PPC) embedded ionic liquid of 1-ethyl-3-methyl-imidazolium-trifluoromethansulphonate [EMIM][OTf]. This MSC exhibits a wide stable potential window up to 2.0 V, offering an areal capacitance of 1.75 mF/cm2 at a scan rate of 5.0 mV/s resulting in an energy density (Ea) of 0.256 µWh/cm2 @ 0.03 mA/cm2 and power density (Pa) of 0.11 mW/cm2 @0.1 mA/cm2. Overall electrochemical performance of this LIG/PGE-MSC is rounded with a good cyclic stability up to 10,000 cycles demonstrating its potential in terms of peak energy storage ability compared to the current thin film micro-supercapacitors.

Effects of self-instructed stimulus-affect plans on indirectly measured and self-reported evaluative responses.

Repeatedly experiencing a specific stimulus-affect contingency influences subsequent evaluative responses towards the respective stimulus (e.g., evaluative conditioning). In the present research, we provide further evidence that verbally processed stimulus-affect contingencies in the form of if-then plans have comparable evaluative consequences. We present three studies (N = 323) in which participants verbally linked cupcakes to either a positive ("delicious") or a negative ("disgusting") affective response while being instructed with the same health-related goal. We tested the evaluative consequences of processing these verbal stimulus-affect plans in a valence-based response-compatibility paradigm (Implicit Association Test, IAT) and self-reported liking ratings. We failed to observe the predicted effect in the first study and updated the methodology for the following two studies. With the updated procedure (two studies, N = 239), we found the hypothesized effect that processing a verbal stimulus-affect plan influences subsequent responses in the IAT and self-reported ratings in an evaluatively congruent direction. We discuss these results in relation to similar effects following directly experienced stimulus-affect contingencies and instructed evaluative conditioning. Furthermore, our present research highlights the potential to use verbal self-instruction in a stimulus-affect format to self-regulate one's evaluative responses towards specific stimuli (e.g., unhealthy snacks).

Retrieval cues fail to influence contextualized evaluations.

Initial evaluations generalise to new contexts, whereas counter-attitudinal evaluations are context-specific. Counter-attitudinal information may not change evaluations in new contexts because perceivers fail to retrieve counter-attitudinal cue-evaluation associations from memory outside the counter-attitudinal learning context. The current work examines whether an additional, counter-attitudinal retrieval cue can enhance the generalizability of counter-attitudinal evaluations. In four experiments, participants learned positive information about a target person, Bob, in one context, and then learned negative information about Bob in a different context. While learning the negative information, participants wore a wristband as a retrieval cue for counter-attitudinal Bob-negative associations. Participants then made speeded as well as deliberate evaluations of Bob while wearing or not wearing the wristband. Internal meta-analysis failed to find a reliable effect of the counter-attitudinal retrieval cue on speeded or deliberate evaluations, whereas the context cues influenced speeded and deliberate evaluations. Counter to predictions, counter-attitudinal retrieval cues did not disrupt the generalisation of first-learned evaluations or the context-specificity of second-learned evaluations (Experiments 2-4), but the counter-attitudinal retrieval cue did influence evaluations in the absence of context cues (Experiment 1). The current work provides initial evidence that additional counter-attitudinal retrieval cues fail to disrupt the renewal and generalizability of first-learned evaluations.

Group Membership, Group Change, and Intergroup Attitudes: A Recategorization Model Based on Cognitive Consistency Principles.

The present article introduces a model based on cognitive consistency principles to predict how new identities become integrated into the self-concept, with consequences for intergroup attitudes. The model specifies four concepts (self-concept, stereotypes, identification, and group compatibility) as associative connections. The model builds on two cognitive principles, balance-congruity and imbalance-dissonance, to predict identification with social groups that people currently belong to, belonged to in the past, or newly belong to. More precisely, the model suggests that the relative strength of self-group associations (i.e., identification) depends in part on the (in)compatibility of the different social groups. Combining insights into cognitive representation of knowledge, intergroup bias, and explicit/implicit attitude change, we further derive predictions for intergroup attitudes. We suggest that intergroup attitudes alter depending on the relative associative strength between the social groups and the self, which in turn is determined by the (in)compatibility between social groups. This model unifies existing models on the integration of social identities into the self-concept by suggesting that basic cognitive mechanisms play an important role in facilitating or hindering identity integration and thus contribute to reducing or increasing intergroup bias.

Dealing with negative stereotypes in sports: the role of cognitive anxiety when multiple identities are activated in sensorimotor tasks.

Based on research on stereotype threat and multiple identities, this work explores the beneficial effects of activating a positive social identity when a negative identity is salient on women's performance in sports. Further, in line with research on the effects of anxiety in sports, we investigate whether the activation of a positive social identity buffers performance from cognitive anxiety associated with a negative stereotype. Two experiments tested these predictions in field settings. Experiment 1 (N = 83) shows that the simultaneous activation of a positive (i.e., member of a soccer team) and a negative social identity (i.e., woman) led to better performance than the activation of only a negative social identity for female soccer players. Experiment 2 (N = 46) demonstrates that identity condition moderated the effect of cognitive anxiety on performance for female basketball players. Results are discussed concerning multiple identities' potential for dealing with stressful situations.