Drawing on institutional theory and using examples from Israel, we offer a critique of technology's deployment in responses to the coronavirus disease (COVID-19). We distinguish between technologies-in-use (“small ‘t' technologies”), the bundle of artifacts and practices that bring them into being, and “Big ‘T' Technology,” the latter being technology as an institution – shared meanings, structures, and practices that govern thought and action. Using the conceptual tool kit of institutional theory, we make three interrelated arguments. First, the deployment of technologies-in-use in response to the pandemic is embedded in diverse and contradictory institutions, the institution of technology among them. These technologies participate in the very construction of crisis, which fosters the revert to known and established ways of being and doing. Thus, technologies-in-use are not necessarily the most efficient and rational but rather the most legitimate and readily available. Second, putting certain technologies into action has not been happening by itself. Instead, we have witnessed contestations among relevant agents – like politicians and experts – who engage in institutional work to serve their interests. Third, despite its global reach, technology is locally adapted and implemented in specific contexts. All in all, institutional theory helps us to explore further and critique the naïve belief, common in public discourse, in technology as a remedy of all things. Instead, it offers a more critical understanding of the cultural dynamics involved in putting technology to work in the coronavirus crisis. This critical lens carries implications for policymaking and implementation in times of crisis.

Objectives Personality traits are linked with healthy aging, but it is not clear how these associations come to manifest across the life-course and across generations. To study this question, we tested a series of hypotheses about (a) personality-trait prediction of markers of healthy aging across the life-course, (b) developmental origins, stability and change of links between personality and healthy aging across time, and (c) intergenerational transmission of links between personality and healthy aging. For our analyses we used a measure that aggregates the contributions of Big 5 personality traits to healthy aging: a “vital personality” score. Methods Data came from two population-based longitudinal cohort studies, one based in New Zealand and the other in the UK, comprising over 6000 study members across two generations, and spanning an age range from birth to late life. Results Our analyses revealed three main findings: first, individuals with higher vital personality scores engaged in fewer health-risk behaviors, aged slower, and lived longer. Second, individuals’ vital personality scores were preceded by differences in early-life temperament and were relatively stable across adulthood, but also increased from young adulthood to midlife. Third, individuals with higher vital personality scores had children with similarly vital partners, promoted healthier behaviors in their children, and had children who grew up to have more vital personality scores themselves, for genetic and environmental reasons. Conclusion Our study shows how the health benefits associated with personality accrue throughout the life-course and across generations.

An underlying aspect of the development of fairness is the aversion to unequal treatment toward equally deserving parties. By middle childhood, children from Western cultures are even willing to discard resources to avoid inequity. Here, a series of four studies were conducted to assess the robustness of inequity aversion in a culture that emphasizes the value of “Thrift” (i.e., waste aversion). Seven-year-old Chinese participated in third-party (N = 83) and first-person (N = 116) distributive interactions and considered both inequity aversion and waste aversion. Our findings demonstrate that Chinese children accepted inequity (unlike Americans) in the presence of waste but avoided inequity (similar to Americans) in the absence of waste. Cultural and noncultural accounts of waste aversion are discussed.

Over the next decade, more than a million eukaryotic species are expected to be fully sequenced. This has the potential to improve our understanding of genotype and phenotype crosstalk, gene function and interactions, and answer evolutionary questions. Here, we develop a machine-learning approach for utilizing phylogenetic profiles across 1154 eukaryotic species. This method integrates co-evolution across eukaryotic clades to predict functional interactions between human genes and the context for these interactions. We benchmark our approach showing a 14% performance increase (auROC) compared to previous methods. Using this approach, we predict functional annotations for less studied genes. We focus on DNA repair and verify that 9 of the top 50 predicted genes have been identified elsewhere, with others previously prioritized by high-throughput screens. Overall, our approach enables better annotation of function and functional interactions and facilitates the understanding of evolutionary processes underlying co-evolution. The manuscript is accompanied by a webserver available at: https://mlpp.cs.huji.ac.il.

Experiencing doubt in an uncertain situation has been theorized to be an antecedent of compulsive checking. However, whether and when obsessive compulsive (OC) symptoms are associated with experiencing doubt and increased checking is unclear. In this study, we investigated the relationship between OC symptoms, the experience of doubt, and checking in a tone-discrimination task. Doubt was measured using mouse tracking, an indirect, unobtrusive measure. The results of two studies (N = 119) showed that OC symptoms were associated with elevated experiences of doubt when uncertainty was low. However, OC symptoms were not associated with increased checking, but doubt was. Results highlight the utility of mouse-tracking measures to capture the tendency of individuals with OC symptoms to experience doubt even under neutral conditions. The unexpected null results concerning checking suggest some specific directions for research to determine the conditions under which doubt evolves into checking in obsessive compulsive disorder.

Collective action research tends to focus on motivations of the disadvantaged group, rather than on which tactics are effective at driving the advantaged group to make concessions to the disadvantaged. We focused on the potential of nonnormative nonviolent action as a tactic to generate support for concessions among advantaged group members who are resistant to social change. We propose that this tactic, relative to normative nonviolent and to violent action, is particularly effective because it reflects constructive disruption: a delicate balance between disruption (which can put pressure on the advantaged group to respond) and perceived constructive intentions (which can help ensure that the response to action is a conciliatory one). We test these hypotheses across 4 contexts (total N = 3650). Studies 1-3 demonstrate that nonnormative nonviolent action (compared with inaction, normative nonviolent action, and violent action) is uniquely effective at increasing support for concessions to the disadvantaged among resistant advantaged group members (compared with advantaged group members more open to social change). Study 3 shows that constructive disruption mediates this effect. Study 4 shows that perceiving a real-world ongoing protest as constructively disruptive predicts support for the disadvantaged, whereas Study 5 examines these processes longitudinally over 2 months in the context of an ongoing social movement. Taken together, we show that nonnormative nonviolent action can be an effective tactic for generating support for concessions to the disadvantaged among those who are most resistant because it generates constructive disruption. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Emotion regulation is important for psychological well-being, yet we know relatively little about why, when, and how hard people try to regulate emotions. This article seeks to address these motivational issues by considering effortful emotion regulation as a unique form of cybernetic control. In any domain of self-regulation, emotions serve as indices of progress in regulation and inform the expected value of regulation. In emotion regulation, however, emotions also serve as the very target of regulation. This interdependence gives rise to ironic processes that may render people less likely to exert effort in emotion regulation, precisely when they need it most. The proposed analysis complements and extends existing theories of emotion regulation, sheds new light on available findings, carries implications for psychopathology and well-being, and points to new hypotheses that could lead to theoretical and applied advances in the field.

The estimated accuracy of a classifier is a random quantity with variability. A common practice in supervised machine learning, is thus to test if the estimated accuracy is significantly better than chance level. This method of signal detection is particularly popular in neuroimaging and genetics. We provide evidence that using a classifier's accuracy as a test statistic can be an underpowered strategy for finding differences between populations, compared to a bona fide statistical test. It is also computationally more demanding than a statistical test. Via simulation, we compare test statistics that are based on classification accuracy, to others based on multivariate test statistics. We find that the probability of detecting differences between two distributions is lower for accuracy-based statistics. We examine several candidate causes for the low power of accuracy-tests. These causes include: the discrete nature of the accuracy-test statistic, the type of signal accuracy-tests are designed to detect, their inefficient use of the data, and their suboptimal regularization. When the purpose of the analysis is the evaluation of a particular classifier, not signal detection, we suggest several improvements to increase power. In particular, to replace V-fold cross-validation with the Leave-One-Out Bootstrap.

BackgroundDisorders involving compulsivity, fear, and anxiety are linked to beliefs that the world is less predictable. We lack a mechanistic explanation for how such beliefs arise. Here, we test a hypothesis that in people with compulsivity, fear, and anxiety, learning a probabilistic mapping between actions and environmental states is compromised.MethodsIn Study 1 (n = 174), we designed a novel online task that isolated state transition learning from other facets of learning and planning. To determine whether this impairment is due to learning that is too fast or too slow, we estimated state transition learning rates by fitting computational models to two independent datasets, which tested learning in environments in which state transitions were either stable (Study 2: n = 1413) or changing (Study 3: n = 192).ResultsStudy 1 established that individuals with higher levels of compulsivity are more likely to demonstrate an impairment in state transition learning. Preliminary evidence here linked this impairment to a common factor comprising compulsivity and fear. Studies 2 and 3 showed that compulsivity is associated with learning that is too fast when it should be slow (i.e. when state transition are stable) and too slow when it should be fast (i.e. when state transitions change).ConclusionsTogether, these findings indicate that compulsivity is associated with a dysregulation of state transition learning, wherein the rate of learning is not well adapted to the task environment. Thus, dysregulated state transition learning might provide a key target for therapeutic intervention in compulsivity.

Despite evidence implicating microglia in the etiology and pathophysiology of major depression, there is paucity of information regarding the contribution of microglia-dependent molecular pathways to antidepressant procedures. In this study, we investigated the role of microglia in a mouse model of depression (chronic unpredictable stress—CUS) and its reversal by electroconvulsive stimulation (ECS), by examining the effects of microglia depletion with the colony stimulating factor-1 antagonist PLX5622. Microglia depletion did not change basal behavioral measures or the responsiveness to CUS, but it completely abrogated the therapeutic effects of ECS on depressive-like behavior and neurogenesis impairment. Treatment with the microglia inhibitor minocycline concurrently with ECS also diminished the antidepressant and pro-neurogenesis effects of ECS. Hippocampal RNA-Seq analysis revealed that ECS significantly increased the expression of genes related to neurogenesis and dopamine signaling, while reducing the expression of several immune checkpoint genes, particularly lymphocyte-activating gene-3 (Lag3), which was the only microglial transcript significantly altered by ECS. None of these molecular changes occurred in microglia-depleted mice. Immunohistochemical analyses showed that ECS reversed the CUS-induced changes in microglial morphology and elevation in microglial LAG3 receptor expression. Consistently, either acute or chronic systemic administration of a LAG3 monoclonal antibody, which readily penetrated into the brain parenchyma and was found to serve as a direct checkpoint blocker in BV2 microglia cultures, rapidly rescued the CUS-induced microglial alterations, depressive-like symptoms, and neurogenesis impairment. These findings suggest that brain microglial LAG3 represents a promising target for novel antidepressant therapeutics.

OBJECTIVE: Values have been found to predict aggressive behavior in adolescents. Adolescents who endorse self-enhancement values typically exhibit more aggressive behaviors, while adolescents who endorse self-transcendent values are less likely to behave aggressively. The associations between values and aggression are low to moderate, suggesting that other factors might moderate them. The study examined whether these associations were moderated by adolescent popularity, an indication of social power. METHOD: The study included 906 adolescents from three cultures: Brazilians (N = 244), Jewish citizens of Israel (N = 250), and Arabic citizens of Israel (N = 409). Personal values were assessed using the Portrait Values Questionnaire (PVQ). Peer nominations were used to assess direct aggression and popularity. RESULTS: Popularity moderated the associations between values and aggression: while the aggressive behavior of popular adolescents was highly associated with their personal values, the behavior of unpopular adolescents was unrelated to their values. This effect consistently emerged across samples, with specific variations for gender and culture. CONCLUSION: Popularity enables adolescents to act according to their personal values: aggressive behaviors increase or decrease according to personal value priorities. The strength of this effect depends on cultural expectations and gender roles.

Ship-generated oil pollution is a significant threat to the Mediterranean Sea. We present a geostatistical analysis of oil spills using three databases for the Mediterranean Sea: REMPEC (1977–2000) with 385 spills (17/year), ITOPF (1970–2018) with 167 spills (3.5/year) and EMSA (2015–2017) with 2066 detections (688/year). It was found that 88% of spills reported by REMPEC occurred near coastline areas, while 65% of the spills detected by EMSA occurred within a range of 22–100 km from the coastline. At the Exclusive Economic Zone (EEZ) level, EMSA oil spills densities were positively correlated with shipping and port activity. We conclude that there is a need to develop an open-access database of oil spills that will be based on both reports and remote sensing acquisition methods. Such a database will facilitate more efficient enforcement of international conventions in offshore areas and will increase the likelihood of effective response.

Most studies linking cardiovascular disease with particulate matter (PM) exposures have focused on total mass concentrations, regardless of their origin. However, the origin of an air mass is inherently linked to particle composition and possible toxicity. We examine how the concentration-response relation between hourly PM exposure and ischemic events is modified by air-mass origin and season. Using telemedicine data, we conducted a case-crossover study of 1855 confirmed ischemic cardiac events in Israel (2005–2013). Based on measurements at three fixed-sites in Tel Aviv and Haifa, ambient PM with diameter < 2.5 μm (PM2.5) and 2.5–10 μm (PM10–2.5) concentrations during the hours before event onset were compared with matched control periods using conditional logistic regression that allowed for non-linearity. We also examined effect modification of these associations based on the geographical origin of each air mass by season. Independent of the geographical origin of the air mass, we observed concentration-response curves that were supralinear. For example, the overall odds ratios (ORs) of ischemic events for an increase of 10-μg/m3 in the 2-h average of PM10–2.5 were 1.08 (95% confidence interval (CI): 1.03–1.14) and 1.00 (0.99–1.01) at the median (17.8 μg/m3) and 95th percentile (82.3 μg/m3) values, respectively. Associations were strongest at low levels of PM10–2.5 when air comes from central Europe in the summer (OR: 1.27; 95% CI: 1.06, 1.52). Our study demonstrates that hourly associations between PM2.5 and PM10–2.5 and ischemic cardiac events are supralinear during diverse pollution conditions in a single population that experiences a wide range of exposure levels.

Abstract How does engagement with markets affect socioeconomic values and political preferences? A long line of thinkers has debated the nature and direction of such effects, but claims are difficult to assess empirically because market engagement is endogenous. We designed a large field experiment to evaluate the impact of financial markets, which have grown dramatically in recent decades. Participants from a national sample in England received substantial sums they could invest over a 6-week period. We assigned them into several treatments designed to distinguish between different theoretical channels of influence. Results show that investment in stocks led to a more right-leaning outlook on issues such as merit and deservingness, personal responsibility, and equality. Subjects also shifted to the right on policy questions. These results appear to be driven by growing familiarity with, and decreasing distrust of markets. The spread of financial markets thus has important and underappreciated political ramifications.