Visual cues and food intake: A preregistered replication of Wansink et al. (2005).

Imagine a bowl of soup that never emptied, no matter how many spoonfuls you ate-when and how would you know to stop eating? Satiation can play a role in regulating eating behavior, but research suggests visual cues may be just as important. In a seminal study by Wansink et al. (2005), researchers used self-refilling bowls to assess how visual cues of portion size would influence intake. The study found that participants who unknowingly ate from self-refilling bowls ate more soup than did participants eating from normal (not self-refilling) bowls. Despite consuming 73% more soup, however, participants in the self-refilling condition did not believe they had consumed more soup, nor did they perceive themselves as more satiated than did participants eating from normal bowls. Given recent concerns regarding the validity of research from the Wansink lab, we conducted a preregistered direct replication study of Wansink et al. (2005) with a more highly powered sample (N = 464 vs. 54 in the original study). We found that most results replicated, albeit with half the effect size (d = 0.45 instead of 0.84), with participants in the self-refilling bowl condition eating significantly more soup than those in the control condition. Like the original study, participants in the self-refilling condition did not believe they had consumed any more soup than participants in the control condition. These results suggest that eating can be strongly controlled by visual cues, which can even override satiation. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Toward consumer acceptance of cultured meat.

Cultured meat is an alternative protein that offers health and environmental advantages over conventional meat, yet many consumers are resistant to eating cultured meat. In this article, we review reasons for consumer resistance and suggest that proper communication about the production and benefits of cultured meat can improve consumer acceptance.

Plant-based and vegetarian diets: an overview and definition of these dietary patterns.

PURPOSE: This paper aims to present an overview of the definitions of "plant-based and "vegetarian diets" adopted by different organizations worldwide, proposing new standard definitions and discussing the notion of vegetarianism as a restrictive dietary pattern. METHODS: An extensive literature review on the different definitions of vegetarian and plant-based diets was conducted. Definitions of different international vegetarian and vegan organizations were also taken into account. Objective definitions for vegetarian and plant-based diets, as well as for their subcategories, were proposed. Other aspects related to how vegetarian diets are viewed and defined were also discussed. RESULTS: We proposed that a vegetarian diet should be defined as "a dietary pattern that excludes meat, meat-derived foods, and, to different extents, other animal products". This definition would include, among others, ovolactovegetarian and vegan diets. The proposed definition for a plant-based diet was "a dietary pattern in which foods of animal origin are totally or mostly excluded". Other types of diets, such as flexitarian and pescetarian diets, could be considered plant-based. A vegetarian diet should not be considered restrictive. Instead, terms such as alternative or non-conventional could be used to define it and to distinguish it from the conventional diet adopted by most of the Western population. CONCLUSION: This paper was able to elaborate objective definitions of vegetarian and plant-based diets. Standardizing nomenclatures may reduce misinterpretation and confusion in this field of study.

Racialized Perceptions of Vegetarianism: Stereotypical Associations That Undermine Inclusion in Eating Behaviors.

Shifting societal eating patterns toward a vegetarian diet offers promise for improving public health and environmental sustainability. Yet concerns exist about racial disparities in inclusion, as some sentiments suggest that vegetarianism is stereotypically associated with Whiteness. Through four studies (total N = 3,234), we investigated associations U.S. adults hold between race and vegetarianism, along with implications for behavior change and belongingness among Black individuals. Participants, across racial backgrounds, strongly associated vegetarianism with Whiteness, both explicitly and implicitly. A race prime led Black participants to report lower interest in becoming a vegetarian, whereas a prime of race-vegetarianism associations decreased Black participants' feelings of belongingness in the vegetarian community. Exposure to racially inclusive messaging about vegetarianism, meanwhile, increased belongingness among Black participants. These findings provide the first quantitative insights into racial stereotypes about vegetarianism and pose future directions for theory, research, and practice at the intersections of race and eating behavior.

Widespread missing super-emitters of nitrogen oxides across China inferred from year-round satellite observations.

Nitrogen oxides (NOx ≡ NO + NO2) play a central role in air pollution and are targeted for emission mitigation by environmental protection agencies globally. Unique challenges for mitigation are presented by super-emitters, typically with the potential to dominate localized NOx budgets. Nevertheless, identifying super-emitters still challenges emission mitigation, while the spatial resolution of emission monitoring rises continuously. Here we develop an efficient, super-resolution (1 × 1 km2) inverse model based on year-round TROPOMI satellite observations over China. Consequently, we resolve hundreds of super-emitters in virtually every corner of China, even in remote and mountainous areas. They are attributed to individual plants or parks, mostly associated with industrial sectors, like energy, petrochemical, and iron and steel industries. State-of-the-art bottom-up emission estimates (i.e., MEICv1.3 and HTAPv2), as well as classic top-down inverse methods (e.g., a CTM coupled with the Ensemble Kalman Filter), do not adequately identify these super-emitters. Remarkably, more than one hundred super-emitters are unambiguously missed, while the establishments or discontinuations of the super-emitters potentially lead to under- or over-estimates, respectively. Moreover, evidence shows that these super-emitters generally dominate the NOx budget in a localized area (e.g., equivalent to a spatial scale of a medium-sized county). Although our dataset is incomplete nationwide due to the undetectable super-emitters on top of high pollution, our results imply that super-emitters contribute significantly to national NOx budgets and thus suggest the necessity to address the NOx budget by revisiting super-emitters on a large scale. Integrating the results we obtain here with a multi-tiered observation system can lead to identification and mitigation of anomalous NOx emissions.

Coarse sea spray inhibits lightning.

The known effects of thermodynamics and aerosols can well explain the thunderstorm activity over land, but fail over oceans. Here, tracking the full lifecycle of tropical deep convective cloud clusters shows that adding fine aerosols significantly increases the lightning density for a given rainfall amount over both ocean and land. In contrast, adding coarse sea salt (dry radius > 1 µm), known as sea spray, weakens the cloud vigor and lightning by producing fewer but larger cloud drops, which accelerate warm rain at the expense of mixed-phase precipitation. Adding coarse sea spray can reduce the lightning by 90% regardless of fine aerosol loading. These findings reconcile long outstanding questions about the differences between continental and marine thunderstorms, and help to understand lightning and underlying aerosol-cloud-precipitation interaction mechanisms and their climatic effects.

Quantifying on-road vehicle emissions during traffic congestion using updated emission factors of light-duty gasoline vehicles and real-world traffic monitoring big data.

Light-duty gasoline vehicles (LDGVs) have made up >90 % of vehicle fleets in China since 2019, moreover, with a high annual growth rate (> 10 %) since 2017. Hence, accurate estimates of air pollutant emissions of these fast-changing LDGVs are vital for air quality management, human healthcare, and ecological protection. However, this issue is poorly quantified due to insufficient reserves of timely updated LDGV emission factors, which are dependent on real-world activity levels. Here we constructed a big dataset of explicit emission profiles (e.g., emission factors and accumulated mileages) for 159,051 LDGVs based on an official I/M database by matching real-time traffic dynamics via real-world traffic monitoring (e.g., traffic volumes and speeds). Consequently, we provide robust evidence that the emission factors of these LDGVs follow a clear heavy-tailed distribution. The top 10 % emitters contributed >60 % to the total fleet emissions, while the bottom 50 % contributed <10 %. Such emission factors were effectively reduced by 75.7-86.2 % as official emission standards upgraded gradually (i.e., from China 2 to China 5) within 13 years from 2004 to 2017. Nevertheless, such achievements would be offset once traffic congestion occurred. In the real world, the typical traffic congestions (i.e., vehicle speed <5 km/h) can lead to emissions 5- 9 times higher than those on non-congested roads (i.e., vehicle speed >50 km/h). These empirical analyses enabled us to propose future traffic scenarios that could harmonize emission standards and traffic congestion. Practical approaches on vehicle emission controls under realistic conditions are proposed, which would provide new insights for future urban vehicle emission management.

Moralistic stereotyping of vegans: The role of dietary motivation and advocacy status.

Ambivalent attitudes exist toward vegans: While people may admire vegans' moral aims and commitment, they may also derogate vegans for seeming arrogant and overcommitted. These latter negative perceptions may undermine the effectiveness of efforts to reduce meat consumption for health, animal-welfare, and sustainability benefits. In the present research, we investigated the role of a vegan's motivation (animal ethics vs. health) in moralized attitudes toward vegans among omnivorous participants through two preregistered studies. In Study 1 (N = 390), we found that a vegan advocate motivated by animal ethics (vs. health) was seen as more moral but not as more arrogantly overcommitted. In Study 2 (N = 1177), we found that animal ethics (vs. health) vegans were seen as both more arrogantly committed and more morally committed, but that relative moral commitment perceptions were attenuated when vegans were described as actively advocating. Both advocating (vs. non-advocating) vegans and animal ethics (vs. health) vegans were generally seen as less socially attractive by omnivores due to stronger attributions of arrogant overcommitment, and a lower social attractiveness was associated with a lower willingness to eat less animal products. Our findings inform ongoing debates within the vegan movement about the effectiveness of signaling moral commitment in promoting plant-based diets.

Opportunistic experiments to constrain aerosol effective radiative forcing.

Aerosol-cloud interactions (ACIs) are considered to be the most uncertain driver of present-day radiative forcing due to human activities. The nonlinearity of cloud-state changes to aerosol perturbations make it challenging to attribute causality in observed relationships of aerosol radiative forcing. Using correlations to infer causality can be challenging when meteorological variability also drives both aerosol and cloud changes independently. Natural and anthropogenic aerosol perturbations from well-defined sources provide "opportunistic experiments" (also known as natural experiments) to investigate ACI in cases where causality may be more confidently inferred. These perturbations cover a wide range of locations and spatiotemporal scales, including point sources such as volcanic eruptions or industrial sources, plumes from biomass burning or forest fires, and tracks from individual ships or shipping corridors. We review the different experimental conditions and conduct a synthesis of the available satellite datasets and field campaigns to place these opportunistic experiments on a common footing, facilitating new insights and a clearer understanding of key uncertainties in aerosol radiative forcing. Cloud albedo perturbations are strongly sensitive to background meteorological conditions. Strong liquid water path increases due to aerosol perturbations are largely ruled out by averaging across experiments. Opportunistic experiments have significantly improved process-level understanding of ACI, but it remains unclear how reliably the relationships found can be scaled to the global level, thus demonstrating a need for deeper investigation in order to improve assessments of aerosol radiative forcing and climate change.

Jab my arm, not my morality: Perceived moral reproach as a barrier to COVID-19 vaccine uptake.

BACKGROUND: Vaccinating the public against COVID-19 is critical for pandemic recovery, yet a large proportion of people remain unwilling to get vaccinated. Beyond known factors like perceived vaccine safety or COVID-19 risk, an overlooked sentiment contributing to vaccine hesitancy may rest in moral cognition. Specifically, we theorize that a factor fueling hesitancy is perceived moral reproach: the feeling, among unvaccinated people, that vaccinated people are judging them as immoral. APPROACH: Through a highly powered, preregistered study of unvaccinated U.S. adults (N = 832), we found that greater perceived moral reproach independently predicted stronger refusal to get vaccinated against COVID-19, over and above other relevant variables. Of 18 predictors tested, perceived moral reproach was the fifth strongest-stronger than perceived risk of COVID-19, underlying health conditions status, and trust in scientists. CONCLUSION: These findings suggest that considering the intersections of morality and upward social comparison may help to explain vaccine hesitancy.

Rapid assessments of light-duty gasoline vehicle emissions using on-road remote sensing and machine learning.

In-time and accurate assessments of on-road vehicle emissions play a central role in urban air quality and health policymaking. However, official insight is hampered by the Inspection/Maintenance (I/M) procedure conducted in the laboratory annually. It not only has a large gap to real-world situations (e.g., meteorological conditions) but also is incapable of regular supervision. Here we build a unique dataset including 103,831 light-duty gasoline vehicles, in which on-road remote sensing (ORRS) measurements are linked to the I/M records based on the vehicle identification numbers and license plates. On this basis, we develop an ensemble model framework that integrates three machining learning algorithms, including neural network (NN), extreme gradient boosting (XGBoost), and random forest (RF). We demonstrate that this ensemble model could rapidly assess the vehicle-specific emissions (i.e., CO, HC, and NO). In particular, the model performs quite well for the passing vehicles under normal conditions (i.e., lower VSP (<18 kw/t), temperature (6-32 °C), relative humidity (<80%), and wind speed (<5 m/s)). Together with the current emission standard, we identify a large number of the 'dirty' (2.33%) or 'clean' (74.92%) vehicles in the real world. Our results show that the ORRS measurements, assisted by the machine-learning-based ensemble model developed here, can realize day-to-day supervision of on-road vehicle-specific emissions. This approach framework provides a valuable opportunity to reform the I/M procedures globally and mitigate urban air pollution deeply.

Morally admirable or moralistically deplorable? A theoretical framework for understanding character judgments of vegan advocates.

Over the last decade, vegan advocates have become a growing minority. By arguing against animal-product consumption and imposing the virtue-loaded call to "go vegan," advocates have posed a direct challenge to the mainstream dietary ideology (termed "carnism") in hopes of positive social change. As a consequence, while vegan advocates may be admired for their morality and commitment, they may also be derogated with moralistic traits such as arrogance and overcommitment. We call this mixed-valence perception the "vegan paradox" and propose a theoretical framework for understanding it. Next, we develop a future research agenda to test and apply our framework, and inquire vegan advocacy for ethical, health, and environmental aims. Using the perspective of the idealistic vegan advocate as a reference point, we discuss the roles of the advocate's motives for change (i.e., the effectiveness of moral persuasion), the advocate's call for change (i.e., radical versus incremental change), the target's moral and carnist identification, and source attributes of the advocate. Lastly, we qualify our framework by highlighting further conceptual and methodological considerations.

Psychological Science in the Wake of COVID-19: Social, Methodological, and Metascientific Considerations.

The COVID-19 pandemic has extensively changed the state of psychological science from what research questions psychologists can ask to which methodologies psychologists can use to investigate them. In this article, we offer a perspective on how to optimize new research in the pandemic's wake. Because this pandemic is inherently a social phenomenon-an event that hinges on human-to-human contact-we focus on socially relevant subfields of psychology. We highlight specific psychological phenomena that have likely shifted as a result of the pandemic and discuss theoretical, methodological, and practical considerations of conducting research on these phenomena. After this discussion, we evaluate metascientific issues that have been amplified by the pandemic. We aim to demonstrate how theoretically grounded views on the COVID-19 pandemic can help make psychological science stronger-not weaker-in its wake.

Moral Judgments of COVID-19 Social Distancing Violations: The Roles of Perceived Harm and Impurity.

Can perceptions of impurity uniquely explain moral judgment? Or is moral judgment reducible to perceptions of harm? Whereas some perspectives posit that purity violations may drive moral judgment distinctly from harm violations, other perspectives contend that perceived harm is an essential precursor of moral condemnation. We tested these competing hypotheses through five preregistered experiments (total N = 2,944) investigating U.S. adults' perceptions of social distancing violations during the COVID-19 pandemic. Perceived harm was more strongly related to moral judgment than was perceived impurity. Nevertheless, over and above perceived harm, perceived impurity reliably explained unique variance in moral judgment. Effects of perceived harm and impurity were significant among both liberal and conservative participants but were larger among liberals. Results suggest that appraisals of both harm and impurity provide valuable insights into moral cognition. We discuss implications of these findings for dyadic morality, moral foundations, act versus character judgments, and political ideology.

Aerosol-boundary-layer-monsoon interactions amplify semi-direct effect of biomass smoke on low cloud formation in Southeast Asia.

Low clouds play a key role in the Earth-atmosphere energy balance and influence agricultural production and solar-power generation. Smoke aloft has been found to enhance marine stratocumulus through aerosol-cloud interactions, but its role in regions with strong human activities and complex monsoon circulation remains unclear. Here we show that biomass burning aerosols aloft strongly increase the low cloud coverage over both land and ocean in subtropical southeastern Asia. The degree of this enhancement and its spatial extent are comparable to that in the Southeast Atlantic, even though the total biomass burning emissions in Southeast Asia are only one-fifth of those in Southern Africa. We find that a synergetic effect of aerosol-cloud-boundary layer interaction with the monsoon is the main reason for the strong semi-direct effect and enhanced low cloud formation in southeastern Asia.

CALIOP retrieval of droplet effective radius accounting for cloud vertical homogeneity.

Monitoring cloud droplet effective radius (re) is of great significance for studying aerosol-cloud interactions (ACI). Passive satellite retrieval, e.g., MODIS (Moderate Resolution Imaging Spectroradiometer), requires sunlight. This requirement prompted developing re retrieval using active sensors, e.g., CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization). Given the highest sensitivity of vertically homogeneous clouds to aerosols that feed to cloud base, here CALIOP profile measurements were used for the first time to quantify cloud vertical homogeneity and estimate cloud re during both day and night. Comparison using simultaneous Aqua-MODIS measurements demonstrates that CALIOP retrieval has the highest accuracy for vertically homogeneous clouds, with R2 (MAE, RMSE) of 0.72 (1.75 µm, 2.25 µm), while the accuracy is lowest for non-homogeneous clouds, with R2 (MAE, RMSE) of 0.60 (2.90 µm, 3.70 µm). The improved re retrieval in vertically homogeneous clouds provides a basis for possible breakthrough insights in ACI by CALIOP since re in such clouds reflects most directly aerosol effects on cloud properties. Global day-night maps of cloud vertical homogeneity and respective re are presented.

Gender differences in meat consumption and openness to vegetarianism.

Understanding gender differences in meat consumption can help strengthen efforts to improve the sustainability of eating patterns. Compared to women, men eat more meat and are less open to becoming vegetarian. Simply considering between-gender differences, however, may overlook meaningful within-gender heterogeneity in how masculine and feminine identities associate with eating behavior. Distinguishing between specific types of meat is also important, given that some meats (e.g., beef) pose greater challenges to sustainability than do other meats. Through a highly powered, preregistered study (N = 1706), we investigated the predictive value of traditional gender role conformity and gender identity centrality for meat consumption frequency and openness to becoming vegetarian. Greater conformity to traditional gender roles predicted more frequent consumption of beef and chicken and lower openness to vegetarianism among men but offered no predictive value among women. No effects were observed for pork or fish consumption. Among women, greater traditional gender role conformity and gender identity centrality were associated with openness to becoming vegetarian for health reasons. Among men, lower traditional gender role conformity was associated with openness to becoming vegetarian for environmental reasons. These findings suggest that understanding meat consumption calls for greater distinctions between specific types of meat as well as deeper consideration of within-gender heterogeneity.

Can a pandemic make people more socially conservative? Political ideology, gender roles, and the case of COVID-19.

The first months of 2020 rapidly threw people into a period of societal turmoil and pathogen threat with the COVID-19 pandemic. By promoting epistemic and existential motivational processes and activating people's behavioral immune systems, this pandemic may have changed social and political attitudes. The current research specifically asked the following question: As COVID-19 became pronounced in the United States during the pandemic's emergence, did people living there become more socially conservative? We present a repeated-measures study (N = 695) that assessed political ideology, gender role conformity, and gender stereotypes among U.S. adults before (January 25-26, 2020) versus during (March 19-April 2, 2020) the pandemic. During the pandemic, participants reported conforming more strongly to traditional gender roles and believing more strongly in traditional gender stereotypes than they did before the pandemic. Political ideology remained constant over time. These findings suggest that a pandemic may promote the preference for traditional gender roles.

Pro-environmental behavior predicts adherence to plant-based diets.

Plant-based diets are beneficial to human health and environmental sustainability but suffer from low rates of adherence. For example, many people who self-identify as vegetarian sporadically eat meat and eventually give up their vegetarian diet entirely. We theorize that valuing a lifestyle of pro-environmental behaviors can enable people to adhere to a plant-based diet more successfully. In the current survey study, we tested this prediction among plant-based dieters for two outcomes: short-term adherence (for the past three days) and future-intended dietary adherence (intention to continue one's diet for the next 1-2 years). Over and above other dietary, motivational, and demographic factors, pro-environmental behavior positively predicted both short-term and future-intended adherence to plant-based diets. Moreover, pro-environmental behavior mediated links between (a) connectedness to nature and dietary adherence and (b) political ideology and dietary adherence. These findings highlight pro-environmental behavior as a tool for explaining and predicting adherence to plant-based diets.