Across four studies (N = 816 U.S. adults), we uncovered a gender stereotype about dual pathways to social hierarchy: Men were associated with power, and women were associated with status. We detected this pattern both explicitly and implicitly in perceptions of individuals drawn from Forbes magazine\'s powerful people lists in undergraduate and online samples. We examined social-cognitive implications, including prominent people\'s degree of recognition by individuals and society, and the formation of men\'s and women\'s self-concepts. We found that power (status) ratings predicted greater recognition of men (women) and lesser recognition of women (men). In terms of the self-concept, we found that women internalized the stereotype associating women with status more than power implicitly and explicitly. Although men explicitly reported having less status and more power than women, men implicitly associated the self with status as much as power. No gender differences emerged in the desires for power and status.

OBJECTIVE: In this research, we conceptualize status-striving sleep deprivation disclosure as talking about one\'s lack of sleep with the intention of enhancing one\'s image. We propose that workers may disclose discretionary information about their sleep deprivation to highlight their potential contributions to the group because of the personal costs of sleep deprivation (e.g., physiological and psychological impediments), which in turn, predicts higher status conferral. We further propose that perceptions of status-striving sleep deprivation disclosure are influenced by gender stereotypes.
METHODS: To test our theory, we designed three studies: an experimental study (study 1), a two-wave panel multisource field study (study 2), and another experimental study (study 3).
RESULTS: The results showed that status-striving sleep deprivation disclosure predicted status conferral, and this indirect effect was explained by perceptions of strength for men. We also found support that when team performance ambiguity is lower, which meant that members\' contributions are more well-known within the group, the indirect effect was explained by perceptions of self-sacrifice for women.
CONCLUSIONS: People talk about sleep deprivation in their workplaces and can gain status for having done so. For men, status-striving sleep deprivation disclosure enhances their status by enhancing others\' perception of their strength. For women, status-striving sleep deprivation disclosure enhances their status by enhancing others\' perception of their self-sacrifice, but only under conditions of low team performance ambiguity.

This study examined women\'s unrecognized roles in facilitating socio-economic interactions and clan networks in a patriarchal society. A qualitative research methodology was chosen. Situational observations, key interviews, and group discussions were applied as data-gathering tools. A thematic descriptive analysis method was used to examine the data that had been gathered. Accordingly, the study found that women are not participating in leading customary institutions and publicly due to the traditional patriarchal domination. However, the customary law shields women from various presumptions. It has been noted women\'s participation in maintaining social order, economic reciprocity, and resource sharing. Most importantly, women\'s continual control of household responsibilities and income-generating activities is essential to Afar society\'s survival. The study recommends that multifaceted interventions should be made to maintain women\'s role in supporting their traditional methods of engaging in maintaining clan networks. An intervention should mostly be better focused on women\'s activities as it will help to explore additional mechanisms that uplift either women by themselves or by the initial intervention system. Therefore, the study recommends incorporating pastoral women\'s roles into more extensive women\'s enclave empowerment policies and removing the existing sociocultural limitations to allow them to contribute more to pastoral livelihoods.

Peer health mediators are now part of the psychiatric landscape. Their work has been extended to the medico-social, social and addiction fields. The French National Authority for Health advocates the integration of peers into institutions to support and encourage patients\' involvement in their care. Psychiatry has been a forerunner in this deployment. Its example could be useful beyond.

Do the nonverbal signals used to make social judgements differ depending on the type of judgement being made and what other nonverbal signals are visible? Experiment 1 investigated how nonverbal signals across three channels (face: angry/fearful, posture: expanded/contracted, lean: forward/backward), when viewed together, were used for judgements of emotion, threat, and status. Experiment 2 replicated Experiment 1 and explored how use of the body channels differed in making social judgements when the face channel was obscured. Both experiments found facial anger linked to high anger, threat, and status ratings; facial fear was linked to low ratings. Expanded body posture increased threat and status judgements, while backward lean decreased anger and threat. With the face channel blocked (Experiment 2B), the influence of body posture increased across emotion, threat, and status judgements, while body lean was more consistent. Findings demonstrate that despite the face\'s importance across types of social judgements, the body channels differentially contribute to judgements of emotion, threat and status. Further, they are differentially affected by the absence of facial information. How much face and body-related channels are used in social judgements is moderated by the type of judgement being made and the availability of other (particularly facial) channel information.

Members of small groups fundamentally desire status as status underpins members\' self-concept and dictates behavior in groups. Moreover, group members readily orient and update status perceptions that index the social standing of themselves and other members. Yet, our understanding is obscured by variability in how researchers study status. In the current review, we crystallize knowledge regarding the nature of status by characterizing variability in definitions, measures, and analytic frameworks. We advocate a definition of status that draws together attributes of respect, admiration, and voluntary deference. We also distinguish reputational and relational status operationalizations and address implications pertaining to measurement along with downstream decisions involving data management and analysis. We encourage a deliberate approach to ensure congruency in how status is defined, measured, and analyzed within a research program. This review also guides theory and hypothesis generation regarding how status-related processes may vary based on different forms of status or differing contexts.
Distinctions in group members’ status naturally arise during group interactions. High status tends to be associated with an array of benefits, such as receiving more respect and attention, enjoying better psychological and physical health, and having greater access to valued resources and opportunities. As such, people fundamentally desire status, vigilantly attend to their own and others’ status, and actively pursue status. Status also powerfully influences group functioning. Whereas a consensually formed status hierarchy may provide order and increase coordination, disputes over status rank can undermine cooperation and encourage conflict among group members. Despite the critical role status plays in social interactions, researchers continue to disagree about how status should be defined and studied. Without a consistent definition and a measurement guideline, it is difficult to produce cumulative knowledge regarding when, for whom, and why status is afforded to others, and the consequences of gaining, losing, or threats to one\'s status. In this review, we advocate a status definition that identifies respect, admiration, and voluntary deference as three essential attributes of status. We also distinguish status that is consensually conferred by a group (i.e., reputational status) from status conferred by a particular group member (i.e., relational status). We conclude this paper by providing a guide of measurement options and data management strategies that are suitable for studying distinctive research questions.

If humans are to team with artificial teammates, factors that influence trust and shared accountability must be considered when designing agents. This study investigates the influence of anthropomorphism, rank, decision cost, and task difficulty on trust in human-autonomous teams (HAT) and how blame is apportioned if shared tasks fail. Participants (N = 31) completed repeated trials with an artificial teammate using a low-fidelity variation of an air-traffic control game. We manipulated anthropomorphism (human-like or machine-like), military rank of artificial teammates using three-star (superiors), two-star (peers), or one-star (subordinate) agents, the perceived payload of vehicles with people or supplies onboard, and task difficulty with easy or hard missions using a within-subject design. A behavioural measure of trust was inferred when participants accepted agent recommendations, and a measure of no trust when recommendations were rejected or ignored. We analysed the data for trust using binomial logistic regression. After each trial, blame was apportioned using a 2-item scale and analysed using a one-way repeated measures ANOVA. A post-experiment questionnaire obtained participants\' power distance orientation using a seven-item scale. Possible power-related effects on trust and blame apportioning are discussed. Our findings suggest that artificial agents with higher levels of anthropomorphism and lower levels of rank increased trust and shared accountability, with human team members accepting more blame for team failures.

Various branches of the literature suggest that exposure to the high-status appearances and lifestyles of politicians in contemporary \"diploma democracies\" affects the attitudes and behavior of less-educated citizens because it confronts them with their lower status in the political domain. Informed by this, we theorize that such exposure inspires docility (a lower subjective social status, weaker feelings of political entitlement) and revolt (anger, more support for aggression against government). To investigate this, we conducted an original, pre-registered, video-vignette survey experiment among a representative sample of the Dutch population. While our findings likely generalize to other liberal democracies, the Dutch context is suitable to test our theorizing because low-status and high-status appearances and lifestyles are found across the political arena, irrespective of politicians\' substantive positions or use of populist rhetoric. Each less-educated respondent (n = 1390) was presented with a professionally produced video of an actor playing the part of a fictitious politician. This politician signaled either a low or a high status via his appearance and lifestyle. The potentially confounding factors of his substantive positions and populist rhetoric were randomized and controlled for. We find that exposure to the high-status politician increased less-educated citizens\' support for aggression against the government. Through exploratory analyses, we assess how the responses of docility and revolt are interrelated, and how they are shaped by less-educated citizens\' economic status.

The continuous monitoring and recording of patients\' pain status is a major problem in current research on postoperative pain management. In the large number of original or review articles focusing on different approaches for pain assessment, many researchers have investigated how computer vision (CV) can help by capturing facial expressions. However, there is a lack of proper comparison of results between studies to identify current research gaps.
The purpose of this systematic review and meta-analysis was to investigate the diagnostic performance of artificial intelligence models for multilevel pain assessment from facial images.
The PubMed, Embase, IEEE, Web of Science, and Cochrane Library databases were searched for related publications before September 30, 2023. Studies that used facial images alone to estimate multiple pain values were included in the systematic review. A study quality assessment was conducted using the Quality Assessment of Diagnostic Accuracy Studies, 2nd edition tool. The performance of these studies was assessed by metrics including sensitivity, specificity, log diagnostic odds ratio (LDOR), and area under the curve (AUC). The intermodal variability was assessed and presented by forest plots.
A total of 45 reports were included in the systematic review. The reported test accuracies ranged from 0.27-0.99, and the other metrics, including the mean standard error (MSE), mean absolute error (MAE), intraclass correlation coefficient (ICC), and Pearson correlation coefficient (PCC), ranged from 0.31-4.61, 0.24-2.8, 0.19-0.83, and 0.48-0.92, respectively. In total, 6 studies were included in the meta-analysis. Their combined sensitivity was 98% (95% CI 96%-99%), specificity was 98% (95% CI 97%-99%), LDOR was 7.99 (95% CI 6.73-9.31), and AUC was 0.99 (95% CI 0.99-1). The subgroup analysis showed that the diagnostic performance was acceptable, although imbalanced data were still emphasized as a major problem. All studies had at least one domain with a high risk of bias, and for 20% (9/45) of studies, there were no applicability concerns.
This review summarizes recent evidence in automatic multilevel pain estimation from facial expressions and compared the test accuracy of results in a meta-analysis. Promising performance for pain estimation from facial images was established by current CV algorithms. Weaknesses in current studies were also identified, suggesting that larger databases and metrics evaluating multiclass classification performance could improve future studies.
PROSPERO CRD42023418181; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=418181.

Sugarcane is the most important sugar and energy crop in the world. During sugarcane breeding, technology is the requirement and methods are the means. As we know, seed is the cornerstone of the development of the sugarcane industry. Over the past century, with the advancement of technology and the expansion of methods, sugarcane breeding has continued to improve, and sugarcane production has realized a leaping growth, providing a large amount of essential sugar and clean energy for the long-term mankind development, especially in the face of the future threats of world population explosion, reduction of available arable land, and various biotic and abiotic stresses. Moreover, due to narrow genetic foundation, serious varietal degradation, lack of breakthrough varieties, as well as long breeding cycle and low probability of gene polymerization, it is particularly important to realize the leapfrog development of sugarcane breeding by seizing the opportunity for the emerging Breeding 4.0, and making full use of modern biotechnology including but not limited to whole genome selection, transgene, gene editing, and synthetic biology, combined with information technology such as remote sensing and deep learning. In view of this, we focus on sugarcane breeding from the perspective of technology and methods, reviewing the main history, pointing out the current status and challenges, and providing a reasonable outlook on the prospects of smart breeding.