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Many animals devote substantial time, energy and resources to assessing nonmating social partners. However, relatively little is known about how individual characteristics influence the process and outcome of social partner choice. Social partner choice is an important aspect of Polistes fuscatus wasp lives, as nest-founding queens form and dissolve many short-term social relationships before settling down in stable cooperative groups. Here, we asked how personality and body size influence social partner assessment, the specific partners chosen, behaviour within social groups and group offspring production. We evaluated social and nonsocial personality traits (exploration, affiliation, aggression, investigation) and body mass in 75 individually marked queens, then released them in a large naturalistic enclosure where we recorded social partner assessment, nest founding behaviour and behaviour on nests. At the end of the season, we collected nests as a measure of group reproductive output. Exploratory personality had a stronger effect on social behaviour than other personality measures. More exploratory wasps sampled more social partners, joined nests later and spent fewer days as members of stable nests. Less exploratory wasps were more likely to become dominant on nests and were more aggressive after partnerships were established. Larger wasps sampled more potential nest sites, suggesting that sampling induces energetic costs that larger individuals are better able to bear. Among dominant and solitary-nesting wasps, more affiliative wasps built larger nests and more aggressive wasps built smaller nests. We did not find that wasps selected partners based on any measured trait. Overall, our work demonstrates that personality traits play an important role in how social partners are assessed, how social groups are formed, behaviour within established social groups and the success of social groups. Our study also suggests that personality mediates a trade-off between time spent sampling partners and social bond stability. • We evaluated effects of personality and body size on social partner choice in wasps. • More exploratory wasps sampled more social partners and joined nests later. • They spent fewer days in stable groups and were less likely to be dominant on nests. • Body size and social personality had little effect on partner assessment. • Personality may mediate a social assessment–stable social bond trade-off. [ABSTRACT FROM AUTHOR]

• Ancient Egypt provides insights on local responses to political and social changes. • Changes were not all gradual and were part of interacting, dynamic, multiscalar adaptive cycles. • Inhabitants at Tell el-Dabˁa reacted and (re-)adapted via short- and long-term strategies. • Strategies include fostering community, negotiating cultural elements, and developing networks. Ancient Egypt is considered as one of the world's longest enduring civilisations, yet few studies have explored its history for insights on community resilience in response to institutional and social change. Instead of focussing on the collapse of the central Egyptian administration, this paper centres its analysis on a 'community' in the northeast of Egypt at ancient Avaris, modern Tell el-Dabˁa. Using resilience theory as metaphor, it provides an overview of developments at the site, observing periods of relative stability punctuated by those of accelerated change. It addresses how different social groups transformed in light of social and political developments by (re-)negotiating cultural elements as well as their local, regional, and supra-regional ties, and whether and how these may be interpreted as short- and long-term strategies of 'survival'. [ABSTRACT FROM AUTHOR]

This paper applies an innovative approach to monitoring social effects occurring before and during construction of two hydroelectric dams in Canada. The two studied dams, Site C and Keeyask, are under construction in Canada and underwent community-based impact assessment (CBIA). News coverage and the CBIA documents were analyzed to understand and compare how those two groups perceive social effects induced by the two projects. CBIAs contain concerns expressed by affected people, whereas news coverage can include quotes from both affected people and decisionmakers involved in the assessment process. By contrasting these datasets, we found that the documents are complementary: while CBIAs are comprehensive in assessing community concerns, news outlets can reveal how those concerns evolved throughout different phases of the projects' implementation. This approach fills a gap in SIA around monitoring of key social effects around local conflicts and disputes, psychosocial effects, socioeconomic effects, and cumulative effects on a daily life. Furthermore, by contrasting the views identified within the impact assessments and the media, the study demonstrates how specific concerns diverged: affected people focus on local social effects while decisionmakers' interests lie in a broader political perspective grounded in local sacrifices 'for the good of the whole province'. Our analysis emphasizes the role of political power over decision making that can inhibit CBIA and social impact assessment practice from contributing to socially sustainable projects. • News outlets can be used to monitor social effects from infrastructure projects. • Community assessments tend to address more chronic effects while news media coverage focuses on episodes of conflicts. • Pollical power over decision-making might inhibit more sustainable projects. [ABSTRACT FROM AUTHOR]

While inequality between individuals is known to be an important determinant of redistributive preferences, research on inequality between groups has increased only recently. This paper argues that individuals infer income expectations from the economic standing of their social group, in particular groups based on characteristics determined at birth, such as sex, race, or parents class. High group incomes can lead individuals to oppose redistribution, even if they are currently poor. Analyses of US survey data from 1978 to 2014 support this argument. The uncovered effects on preferences exceed those of individual income by more than three times in magnitude. [ABSTRACT FROM AUTHOR]

Animated GIF has become a key communication tool in contemporary social platforms thanks to highly compatible with affective performance, and it is gradually adopted in commercial applications. Therefore, the copyright protection of the animated GIF requires more attention. Digital watermarking is an effective method to embed invisible data into a digital medium that can identify the creator or authorized users. However, few works have been devoted to robust watermarking for the animated GIF. One of the main challenges is that the animated image also contains time frame dimension information compare with still images. This paper proposes a robust blind watermarking framework based 3D convolutional neural networks for the animated GIF image, which achieves watermark image embedding and extraction for the animated GIF. Also, noise simulation is developed in frame-level to ensure robustness for the attack of the temporal dimension in this framework. Furthermore, the invisibility of the watermarked animated image is optimized by adversarial learning. Experimental results provide the effectiveness of the proposed framework and show advantages over existing works. • A novel robust watermarking method for the animated GIF image is proposed. • Employ 3D convolutional neural networks to learn the feature of the animated GIF image at the frame-level. • Design various noise attacks to gain robustness of the animated GIF image watermarking. [ABSTRACT FROM AUTHOR]