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This paper investigates the effect of voters' short-term memory on political outcomes by considering politics as a collective learning process. We find that short-term memory may lead to cycles of polarization and consensus across parties' platforms. Following periods of party consensus, short-term memory implies that there is little variation in voters' data and therefore limited information about the true state of the world. This in turn allows parties to further their own interests and hence polarize by offering different policies. In contrast, periods of polarization and turnover involve sufficient variation in the data that allows voters to be confident about what the correct policy is, forcing both parties to offer this policy. (JEL D72, D83, E61) [ABSTRACT FROM AUTHOR]

Most species of migrating birds use a combination of innate vector-based orientation programs and social information to facilitate accurate navigation during their life. A number of various interspecies hybridisations have been reported in birds. The traits of parents are expressed in hybrids in typical ways which are either intermediate, combined or heterotic. Here, we analyse the different migration behaviours of medium-sized raptors, i.e., Red Kites Milvus milvus, Black Kites Milvus migrans, and their hybrids. We chose six well-established parameters to compare the behaviour of Kite hybrids with those of both parental species. When comparing 16 quantified behavioural characteristics between Red Kites and F1 hybrids and between Black Kites and F1 hybrids, significant differences were found in 10 characteristics between Red Kites and F1 hybrids but only one of the 16 characteristics between Black Kites and F1 hybrids. Hence, F1 hybrid individuals showed behaviour much more similar to Black Kites than Red Kites. It implies that the basis of the migratory behaviour of Kites is an innate program with the dominance of genetic determinants supplemented by the use of social learning from individuals of the parent species. [ABSTRACT FROM AUTHOR]

Introduction: Community disaster resilience has emerged as a significant research topic within the domain of disaster risk management. One promising approach to enhance community disaster resilience lies in fostering social capital participation within the framework of community disaster risk management. However, there is currently limited systematic evidence illustrating how social capital facilitates community disaster resilience. Methods: A comprehensive search of the electronic databases yielded a total of 1,021 papers deemed to be relevant to the topic under investigation. Using rigorous inclusion criteria, this study identified 24 studies that met the final review requirements. Based on this foundation, this paper demonstrates how social capital facilitates community disaster resilience through a systematic review utilizing thematic content analysis. Results: This study identifies five critical mechanisms through which social capital facilitates community disaster resilience, including (1) social learning, (2) collective action, (3) disaster preparedness, (4) information communication, and (5) moral or civic responsibility. Furthermore, social capital mechanisms for enhancing community disaster resilience are observed across social (man-made) and natural disaster scenarios. Conclusion: These findings provide valuable guidelines for risk management practice by social capital to improve community disaster resilience: (1) enhance community residents' risk perception and social learning capacity; (2) reinforcing offline face-to-face and social media-based disaster risk communication; (3) placing greater emphasis on the capacity for community collective action and disaster preparedness. [ABSTRACT FROM AUTHOR]

This study aims to examine the combination of educational data mining and learning analytics with virtual reality, augmented reality, mixed reality, and the metaverse, its role in education, and its impact on teaching and learning. Therefore, a systematic literature review, a bibliometric and scientific mapping analysis, and a content analysis are carried out based on 70 relevant documents identified from six databases, namely, ACM, ERIC, IEEE, ScienceDirect, Scopus, and Web of Science (WoS) following the PRISMA framework. The documents were separated into the following three categories, (i) Theoretical and Review studies, (ii) Proposal and Showcase studies, and (iii) Experimental and Case studies and were examined from different dimensions through an in-depth content analysis using both quantitative and qualitative approaches. The documents were further analyzed using scientometric tools, such as Bibliometrix and VOSviewer and topic modeling through Latent Dirichlet Allocation (LDA). The most prominent topics, areas, and themes were revealed and the outcomes regarding the influence of this combination on learning and teaching were summarized. Based on the results, this combination can effectively enrich education, positively affect learning and teaching, offer deep and meaningful learning, and support both students and teachers. Additionally, it can support different educational approaches and strategies, various learning styles, and special education and be utilized in both formal and informal learning environments. The real-time identification, tracking, monitoring, analysis, and visualization of multimodal learning data of students' behavior, emotions, cognitive and affective states and the overall learning and teaching processes emerged as a significant benefit that contributes greatly to the realization of adaptive and personalized learning. Finally, it was revealed that the combination of extended reality technologies with learning analytics and educational data mining can support collaborative learning and social learning, improve students' self-efficacy and self-regulated learning, and increase students' learning gains, academic achievements, knowledge retention, motivation, and engagement. [ABSTRACT FROM AUTHOR]

This paper proposes a bionic social learning strategy pigeon-inspired optimization (BSLSPIO) algorithm to tackle cooperative path planning for multiple unmanned aerial vehicles (UAVs) with cooperative detection. Firstly, a modified pigeon-inspired optimization (PIO) is proposed, which incorporates a bionic social learning strategy. In this modification, the global best is replaced by the average of the top-ranked solutions in the map and compass operator, while the global center is replaced by the local center in the landmark operator. The paper also proves the algorithm's convergence and provides complexity analysis. Comparison experiments demonstrate that the proposed method searches for the optimal solution while guaranteeing fast convergence. Subsequently, a path-planning model, detection units' network model, and cost estimation are constructed. The developed BSLSPIO is utilized to generate feasible paths for UAVs, adhering to time consistency constraints. The simulation results show that the BSLSPIO generates feasible paths at minimum cost and effectively solves the UAVs' cooperative path-planning problem. [ABSTRACT FROM AUTHOR]

Social learning, where animals learn from other individuals, occurs in many diverse species. The influential but debated 'costly information' hypothesis posits that animals will rely more on social information in high-risk contexts, such as under increased predation risk. We examined and compared the effects of perceived predation risk on social learning of foraging sites in female Trinidadian guppies from wild and domestic populations raised in common-garden environments. We used a demonstrator-observer pairing where a subject could observe conspecific 'demonstrators' feeding from one of two feeders, and measured whether the observer subsequently spent more time at a demonstrated or non-demonstrated feeder. We manipulated perceived predation risk using alarm cue (conspecific skin extract). Stress responses and social learning differed between the two populations. Most notably, high predation risk enhanced social learning in the wild-type guppies, but depressed it in the domestic guppies. Thus, fish from both populations were able to socially learn, but under opposing contexts. These results suggest social learning propensities are the product of multiple interacting systems, and biases to favour social learning can emerge dependent on evolutionary history and current conditions. [ABSTRACT FROM AUTHOR]

Studies on the education-work transition have traditionally focused on the ways in which young people mobilize their capital and adapt to the conditions offered by distinct workplaces. However, it is also important to consider the impact of work and working life on the transformation of the subjectivities and social relations of new generations in the places where they begin their professional experience. This article analyzes this issue based on professional internships in secondary technical education in Chile. Institutional intermediation mechanisms and the agents that participate in their implementation play a significant role in the education-work transition, but, paradoxically, there is little research on these actors, on the processes and on almost everything related to their achievements and weaknesses. This topic is explored through a qualitative approach in a sample of technical-professional educational establishments in Santiago, Chile. Based on semi-structured interviews with teachers and graduates, the main mechanisms of management of the professional internships are described. It is concluded that, although the conditions of implementation are open to criticism, there is a high valuation of these internships as an induction into the world of work, especially because of the social learning that such experiences entail. [ABSTRACT FROM AUTHOR]

Being part of a social structure offers chances for social learning vital for survival and reproduction. Nevertheless, studying the neural mechanisms of social learning under laboratory conditions remains challenging. To investigate the impact of socially transmitted information about rewards on individual behavior, we used Eco-HAB, an automated system monitoring the voluntary behavior of group-housed mice under seminaturalistic conditions. In these settings, male mice spontaneously form social networks, with individuals occupying diverse positions. We show that a rewarded group member's scent affects the ability of conspecifics to search for rewards in familiar and novel environments. The scent's impact depends on the animal's social position. Furthermore, disruption of neuronal plasticity in the prelimbic cortex (PL) disrupts the social networks and animals' interest in social information related to rewards; only the latter is blocked by the acute PL inhibition. This experimental design represents a cutting-edge approach to studying the brain mechanisms of social learning [ABSTRACT FROM AUTHOR]

Song divergence driven by social learning has been proposed to be a key factor driving allopatric speciation in oscine birds. Songbirds often respond more to songs deriving from their local population, suggesting the potential for acoustic divergence across populations to shape both intra- and intersexual interactions. However, many of these studies were conducted on species with simple songs and, as a result, we know comparatively little about the emergence of population differences and song discrimination in species with complex songs. We addressed this question in the pied flycatcher (Ficedula hypoleuca) by calculating the dissimilarity of songs from 2 foreign populations as well as from our study site to the local centroid. We then conducted a paired-design playback experiment where both local and foreign songs were played simultaneously. We found that pied flycatcher males showed significantly stronger responses to those songs that sounded more similar to the local population. This suggests that despite the high complexity of the pied flycatcher song, individuals are still able to discriminate across populations. Our results support the hypothesis that learned song divergence can act as a mechanism for assortative mating and allopatric speciation. [ABSTRACT FROM AUTHOR]

Mangrove Swamp Rice is a unique labour-, time-, and knowledge-intensive farming system across West Africa requiring a complex water management through dikes, canals, and pipes. Cooperation is crucial in the socio-spatial and temporal organisation of water management, helping mitigate risks like saltwater intrusion, prolonged submersion, and drying of paddies, particularly intensified by climate change. We adopted a mixed-methods approach integrating grounded theory with case study design and multi-level analysis and employed several tools, such as social network analysis, a land tenure register, a digital elevation model, and a machine learning model. This research strategy allowed us to gain an in-depth understanding of the complex socio-ecological system in water management. Our study examined the benefits of cooperation for water infrastructure management, highlighting its critical role in routine monitoring and repair, specialised technical advice, and annual belt dike maintenance. Within the large array of factors influencing cooperation, key drivers, such as spatial proximity and farmers' technical knowledge, labour ethics, and fame, emerged and are discussed. Our findings provide important insights into the social organisation of "traditional" societies and offer valuable guidance for development practitioners, emphasising the importance of involving reputed farmers for sustainable socio-technical adaptation. [ABSTRACT FROM AUTHOR]

The complexity of agricultural innovations and heterogeneity of circumstances of technology application, outcomes, and social network structures have often led to obstacles in social learning and suboptimal adoption. In this article, we examine technology diffusion by focusing on the roles of peer adoption decision, peer experience, and network structures, using survey data from 500 farm households in Northern Ghana to generate social network contacts. Our results reveal that learning from peer experiences matter more in the diffusion process than just peer adoption decisions alone. We also find that social learning and the likelihood of adoption are higher when peers are central nodes, and particularly when they belong to cohesive subgroups, but lower when they are in highly segregated networks. Our results shed new light on the role of central agents, since highly cohesive neighbourhoods seem to promote diffusion more in high-modularity networks than central nodes. [ABSTRACT FROM AUTHOR]

Digital technologies enable consumers to actively participate in the design and production process for a wide range of products, giving rise to the concept of a 'prosumer.' A significant portion of the value for such products is generated through the prosumption process. A variety of firms are investing in building such capabilities; however, a major, largely unexplored, friction in prosumption is the customers' effort involved to undertake a creative exercise of designing products and extracting value from the process. In this study, we ask whether and how social learning—the act of showing creations made by other customers to focal customers—can ameliorate such friction. Arguably, by showing others' product designs to focal customers, especially if such designs are attractive and of high quality, the firm may entice users to initiate the design process. Showing others' designs is also likely to influence customers' beliefs about their own ability—their self-efficacy—to design a valuable product that they would like to purchase. Certain designs may be perceived as out of the creative reach of focal users and therefore reduce their likelihood of finishing the design and purchasing it. How does this understanding vary across different stages of the purchase funnel? In close collaboration with an e-commerce platform that specializes in customized photo products, we examine the effectiveness of social learning by means of two large scale in-vivo randomized field experiments. We exogenously vary both the availability of others' designs and the characteristics of the images shown to the treated users. Our analysis shows that showing other users' designs as examples can be highly effective in influencing the purchase and design behavior of focal customers, but firms must choose the right customers and carefully select the type of user image design for display. In the upper stages of the purchase funnel, showing high-quality designs to these customers significantly increases the likelihood of project creation. Lower down in the funnel the self-efficacy effect dominates, and users are more likely to finish designs and purchase products when shown designs that are easy to learn. This paper was accepted by D. J. Wu, information systems. Funding: T. Sun appreciates research support from CKGSB Research Institute and Center for Digital Transformation. Supplemental Material: The online appendices are available at https://doi.org/10.1287/mnsc.2021.00789. [ABSTRACT FROM AUTHOR]

In recent years, weather-related extreme events have shown the limits of technical approaches to urban water challenges and highlighted the urgent need to rethink the relationship between cities and water and to see water as a partner in shaping transformative, climate-safe and just urban futures. However, existing scientific studies depicting future trajectories of urban water management have struggled to make the intertwined social and ecological dynamics of (transformative) urban adaptation tangible and accessible. This study focuses on the potential of visual communication of scenarios to stimulate both learning among scientists (during the process of creating the scenarios) and social learning (as a next step using the developed "narrative images") to motivate diverse societal actors to engage with the complexity of sustainable urban water management. Art can overcome barriers of scientific and technical concepts and touch peoples' inner motivation for preserving and sustainably transforming our cities in a way that written texts cannot. As sustainability challenges transcend disciplines, this study draws methodically on an interdisciplinary scenario approach. Three adaptation scenarios were developed in a participatory process and professionally visualized as "narrative images" using the city of Hamburg as a case study. The scenarios take place in 2050 depicting a gradient ranging from coping to incremental adaptation to transformative adaptation for managing the water-adaptation nexus: "Water defensive city," "Water resilient city," and "Water aware city." The scenario study shows innovatively how to bring the humanities, natural and engineering sciences into a deliberative dialog, while at the same time promoting collective learning. It can serve as a model for successful future interdisciplinary research and scenario developing exercises. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has experienced exponential growth in recent years, profoundly transforming various aspects of life, particularly in education. As a team of educational technology innovators, we have developed a series of generative AI features within our social learning management system, CourseNetworking, to boost student engagement in online discussions and enhance instructor efficiency. This article introduces three key features: automated hashtagging, automated post reflection, and AI-driven quiz question generation. We examine the goals and technical implementation of each feature, present solutions to challenges encountered during development and deployment, and share the best practices we have accumulated. Additionally, we outline our plans for future advancements. This paper seeks to foster understanding and collaboration among developers, educators, institutional leaders, and researchers, with the aim of using AI technology to improve educational products and services, ultimately elevating learning experiences and outcomes. [ABSTRACT FROM AUTHOR]

Natural flood management (NFM) is a nature-based solution (NbS) widely recognised as an option to regulate flooding whilst providing multiple ecosystem services (ES) for society and the environment. To address climate change-enhanced flood risk, localised-NFM could be scaled out (expanded geographically to the catchment level). Implementing catchment-scale NFM will not only change landscape appearance but also give rise to potential ES trade-offs between the 'providers' of upstream land for flood regulation and the 'beneficiaries' of reduced flooding downstream. This paper presents a live case study of four river catchments in the UK, where a multi-agency-funded collaborative project is implementing integrated, catchment-scale NFM to work with downstream urban flood defences. Assessment of the views of upstream-downstream catchment communities is limited. Utilising five focus groups (n = 17 participants) we investigate the potential misalignments or synergies between catchment communities that will provision or benefit from NFM that could either derail or support scaling out initiatives. Results reveal that upstream and downstream participants hold strong affinities to contemporary rural landscape aesthetics, expressing sympathies with tasking farmers with delivering flood regulation ES when their traditional vocation is to deliver provisioning ES. Participants also exhibited resistance to landscape change caused by NFM. Nevertheless, acceptability of scaling out NFM increased when aesthetic preferences were considered, especially in provider regions, while beneficiaries prioritised more effective NFM measures over appearance. Inclusive discussion and knowledge exchange (e.g. personal stories, catchment visualisations) in the focus groups facilitated greater appreciation of whole catchment community values and understanding for scaling out NFM. [ABSTRACT FROM AUTHOR]

Local participation in managing natural resources is key to ensuring that community members living within and relying upon ecosystems can influence planning and decision-making. Transformative and inclusive governance towards sustainable outcomes requires the presence of local actors with appropriate capabilities. This paper identifies means (or stepping stones) to cultivate transformative participatory governance capabilities. We analyse the outcomes of a learning system involving researchers and participants (collectively co-learners) employed within a transdisciplinary landscape restoration project – the Tsitsa Project, in the rural Tsitsa River Catchment in the Eastern Cape of South Africa. Developing governance capabilities enhanced the sustainability of the project's localised impact. We conducted a qualitative analysis of the learning outcomes and process documentation, using a value creation framework. We found three stepping stones particularly effective at enabling transformative value creation: i) consistently adapting to novel and evolving constraints, ii) investing in effective, fair facilitation from the beginning, and iii) promoting participatory confidence through exposure to diverse governance spaces. The active, engaged development of participatory capabilities is a foundational step in the process of developing participatory governance practice. The insights can inform the development of transformative participation approaches in natural resource governance, particularly for rural communities. Key policy highlights: This research can empower policymakers, development organisations, and community leaders seeking to design more inclusive and effective natural resource governance practices, particularly for rural communities in developing countries. Here are the key takeaways: Invest in people: Growing the skills and knowledge of community members is a crucial early step for fostering effective participation. This includes formal training and opportunities to learn from each other. Remain flexible: View changing circumstances as opportunities to adapt and improve learning approaches. Focus on confidence: Expose participants to new experiences and responsibilities to help them grow their confidence and feel empowered to contribute. Invest in facilitation: Skilled facilitators can guide discussions, address inequalities, and ensure everyone feels included. Think long term: Building trust and achieving more transformative governance take time. Reliable long-term funding is necessary for successful participatory governance initiatives. [ABSTRACT FROM AUTHOR]

There is increasing recognition of the importance of local knowledge in conservation governance and sustainable use of natural resources. This article studies three social-ecological systems: Bigi Pan, Noord Coronie, and Noord Saramacca – each designated as a Multiple Use Management Area (MUMA) by the Surinamese government. The main focus of this article is how local knowledge and user perspectives may contribute to the management of a MUMA, including to making decisions about biodiversity and natural resources. We use an action research approach that includes qualitative case study methodology, participant observations, group and individual interviews. The analytical framework is based on the SES model from Ostrom (2009) to understand interactions between subsystems as mediated by local and other forms of knowledge. We also explore how participatory engagement with MUMA resource users includes local knowledge and user perspectives. The findings show how local knowledge can offer tools and solutions to improve conservation governance by supporting the development of realistic management plans and by supporting better understanding of the interactions between social and ecological subsystems. Moreover, action research helps to recognize local knowledge as valuable for science and promotes social learning among stakeholders. This paper concludes that local knowledge has contributed to policy decisions that are connected to the use practices of the people who are of the place and know the context well. The inclusion of local knowledge through participatory drafting of management plans has contributed to overcoming some major management challenges and helped to build a supportive social environment for conservation. Key policy highlights: Local support for MUMAs will only be successful if community engagement is truly institutionalized. Participatory drafting of management plans is helpful in recognizing local knowledge and promoting social learning among stakeholders. Embedding local knowledge in management plans is fundamental to securing sustainable outcomes in MUMAs. Local knowledge includes knowledge about the resource system, individual resource units, and the governance system. Local resource users and local government agencies held various opinions about community engagement. Local knowledge is the result of the interactions between subsystems of SES. [ABSTRACT FROM AUTHOR]

Simulation-based training in computer-generated environments has always played an important role in clinical medical education. Recently, there has been a growing interest in using 360° videos of real-life situations for training in health professions. Several studies report positive results from using 360° Virtual Reality for individuals, yet there are currently no studies on collaborative 360° Virtual Reality training. In this paper, we evaluate how 360° Virtual Reality can support collaborative training in clinical medical education. The study population consisted of 14 medical students in semester 5 of their Bachelor's programme. The students were divided into three groups before watching and annotating a 360° video of an authentic learning situation inside a collaborative immersive virtual reality space. The original video shows a problem-based examination of the collateral and cruciate ligaments of the knee performed by students under the supervision of a professor. After training in collaborative 360° Virtual Reality, students then had to perform the same tests in a physical examination. The students' performance was subsequently evaluated by a professor with expertise in knee examinations. The results show that 12 out of 14 students received a score of 2 for one or more tests, thereby meeting the required learning objective. One student received a score of 1 and one student did not perform any of the tests. The students actively use the tools provided by the software and different communicative strategies when working collaboratively in 360° Virtual Reality, which enables them to perform the tests in the physical examination by transferring their constructed knowledge. The results indicate that our pedagogical design in collaborative immersive 360° Virtual Reality can become a relevant addition to face-to-face clinical medical training. [ABSTRACT FROM AUTHOR]

Ecovillages are settlements that aim to combine human well-being and environmental sustainability. They serve as sites of social learning for sustainable consumption practices and may inspire lifestyle changes in mainstream society. However, most ecovillages fail in the first few years of establishment. Through an in-depth study of a Norwegian ecovillage's efforts at expansion, this article explores the factors that adversely affected the well-being of ecovillage residents and threatened the community's survival. The study applies mixed methods combining needs-based workshops, a well-being survey, and in-depth interviews. The transformation of the ecovillage into a larger settlement with modern houses was driven by a developer and with minimal involvement of residents. The resulting divergence in visions and values, coupled with structural problems of the homes, led to protracted conflicts, and resulted in the developer's bankruptcy. The study identifies strong social institutions and affordable infrastructures as crucial elements for both well-being and the success of ecovillages. [ABSTRACT FROM AUTHOR]

The paper proposes that action research, not as a predefined set of methods but rather as a mode of research, should be considered a key asset in creating transformative knowledge on just cycling futures. I explain, firstly, why action-oriented, experimental, and participatory research should deploy the concept of prefigurative politics – the performing of not-yet cycling futures here and now – as a theoretical, methodological and practical resource to counter hegemonic, oppressive, essentialist and authoritarian mobility rationalities. Second, I argue why prefigurative action research is most applicable when involving diverse actors across cycling governance networks into a democratic social learning process. These arguments are developed by synthesising literatures from social movement studies and mobility and transport justice, and by providing examples of four social cycling innovations among a population often marginalised from transport policy and planning – children and young people. In conclusion, the paper proposes a model for conducting prefigurative action research on cycling. [ABSTRACT FROM AUTHOR]

In Indonesia, there is a significant gap between the skills, creativity, innovation abilities, and job awareness of college graduates as well as the demands of the modern workforce. This gap originates from a curriculum and learning design that has not kept pace with the rapidly evolving needs of society. In an era characterized by digitalization and the rapid development of technology, content, infrastructure, human, and environmental resources, it is essential to create an open and pervasive learning environment (PLE). Therefore, this research aimed to describe the design process and determine the feasibility and validity of a PLE model that integrated formal and informal cooperative social learning. Research and Development (R&D) for Education model was adopted in this study following the phases of analysis, design, development, and evaluation (ADDIE). Furthermore, the research procedure included two main stages, namely the development of the PLE model and validation of the product. The product validation process further included 13 experts in material design, 15 experts in learning media, and 95 students from state and private universities across Indonesia. Subsequently, descriptive statistical analysis was used in analyzing the obtained data from the validation process. The results showed that the developed PLE model design has utilized the power of technology, social interaction, and everyday environment, both formally and informally. The developed learning model design was suitable for implementation in educational settings. This learning design model offers a comprehensive, flexible, and inclusive learning ecosystem that is tailored to the needs of the twenty-first century. [ABSTRACT FROM AUTHOR]

Background: Over the course of the last decade, cybercrime has become a significant global concern. A comprehensive approach to crimes that occur in cyber contexts needs to address not only the technological aspects of cybercrime but also the human elements. Therefore, the aim of the current research is twofold: first, to gain an in-depth understanding of the pathways that lead to criminal hacking behavior through interviews with current or former criminal hackers, and second, to explore how the lived experiences of these individuals fit within theoretical explanations of hacking. Method: Semi-structured interviews were conducted with a sample of ten current and former criminal hackers. Participants for this study were recruited through social media and hacker forums. Interviews were conducted from November 2023 to March 2024. Data collected during the interviews were analyzed through a process of thematic analysis. Focusing on the lived experiences of these hackers, a "pathway of hacking" behavior, expanding upon those proposed in research emanating from Europe, was identified. Findings: Notably, the current study found that young males who are curious and creative in childhood, experience destabilizing events, and develop an early interest in technology are well placed to follow the pathway to criminal hacking behavior. Online gaming was identified as a possible gateway to criminal hacking activities. A sense of overcoming a challenge, being elite, and having "control over the machine" encourages youth to continue criminal hacking activities. In addition to the identification of a criminal hacking pathway, an integration of existing cyberpsychological, psychological, criminological, and sociological theories is presented to provide a theoretical explanation for the initiation, continuation, and desistence of criminal hacking behavior. This work represents the first effort to present an integration of theories (e.g., Social Learning, General Theory of Crime, Flow, and the cyberpsychological theoretical construct of the "Online Disinhibition Effect") based on the stages of the criminal hacking pathway. [ABSTRACT FROM AUTHOR]

Bluey stands as the current pinnacle in children's television series, lauded and adorned with multiple accolades for its educational and social merits. It stands out for its portrayal of childhood social learning within familial settings, offering a realistic depiction of everyday challenges. In addition, Bluey is based on the everyday life of Australian society, clearly reflecting the country's customs, social values, and natural environments, making it an invaluable resource for enriching the cultural learning of the English language and culture from an Australian point of view, an issue that is rarely addressed in the specialist literature. Thus, this study seeks to identify the cultural and societal facets of Australia depicted in it, with the aim of assessing its pedagogical value in teaching English to non-native learners within the context of primary education. Thirty evaluators analyzed the 52 episodes of the first season of Bluey, endeavoring to identify elements across nine thematic areas. To mitigate variances among evaluators, elements were verified only if agreement was reached by at least three evaluators. In total, evaluators identified 3327 elements representing Australian culture, comprising these categories: (1) Childhood; (2) Devices; (3) Lifestyles; (4) Food; (5) Language; (6) Sports; (7) Animals; (8) Nature; and (9) Places. A total of 1223 elements received verification by the requisite number of evaluators. The resulting catalog of Australia-specific elements per episode serves as a valuable tool in selecting the most instructive episodes for English-language and Australian cultural education for non-natives. This compilation facilitates a nuanced approach to teaching English, rooted in the diverse and culturally rich Australian context, thus breaking away from strictly British and American cultural associations and embracing a broader linguistic and cultural landscape. [ABSTRACT FROM AUTHOR]

Abstract Background Interviewers’ judgements play a critical role in competency-based assessments for selection such as the multiple-mini-interview (MMI). Much of the published research focuses on the psychometrics of selection and the impact of rater subjectivity. Within the context of selecting for entry into specialty postgraduate training, we used an interpretivist and socio-constructivist approach to explore how and why interviewers make judgments in high stakes selection settings whilst taking part in an MMI. Methods We explored MMI interviewers’ work processes through an institutional observational approach, based on the notion that interviewers’ judgements are socially constructed and mediated by multiple factors. We gathered data through document analysis, and observations of interviewer training, candidate interactions with interviewers, and interviewer meetings. Interviews included informal encounters in a large selection centre. Data analysis balanced description and explicit interpretation of the meanings and functions of the interviewers’ actions and behaviours. Results Three themes were developed from the data showing how interviewers make professional judgements, specifically by; ‘Balancing the interplay of rules and agency,’ ‘Participating in moderation and shared meaning making; and ‘A culture of reflexivity and professional growth.’ Interviewers balanced the following of institutional rules with making judgment choices based on personal expertise and knowledge. They engaged in dialogue, moderation, and shared meaning with fellow interviewers which enabled their consideration of multiple perspectives of the candidate’s performance. Interviewers engaged in self-evaluation and reflection throughout, with professional learning and growth as primary care physicians and supervisors being an emergent outcome. Conclusion This study offers insights into the judgment-making processes of interviewers in high-stakes MMI contexts, highlighting the balance between structured protocols and personal expertise within a socially constructed framework. By linking MMI practices to the broader work-based assessment literature, we contribute to advancing the design and implementation of more valid and fair selection tools for postgraduate training. Additionally, the study underscores the dual benefit of MMIs—not only as a selection tool but also as a platform for interviewers’ professional growth. These insights offer practical implications for refining future MMI practices and improving the fairness of high-stakes selection processes.

Abstract Background The Calgary Audit and Feedback Framework (CAFF) is a pragmatic, evidence-based approach for the design and implementation of in-person social learning interventions using Audit and Group Feedback (AGF). This report describes extension of CAFF into the virtual environment as part of a multifaceted intervention bundle to reduce redundant daily laboratory testing in hospitals. We evaluate the process of extending CAFF in the virtual environment and share resulting evidence of participant engagement with planning for practice change. Methods We describe an innovative virtually facilitated AGF intervention based on the CAFF. The AGF intervention was part of an intervention bundle which included individual physician laboratory test utilization reports and educational tools to reduce redundant daily laboratory testing in hospitals. We used data from recorded and transcribed virtual AGF sessions, post AGF session surveys and detailed field notes maintained by project team members. We used simple descriptive statistics for quantitative data and analyzed qualitative data according to the elements of CAFF. Results Eighty-three physicians participated over twelve virtual AGF sessions conducted across four tertiary care hospitals during the study period. We demonstrate that all prerequisite activities for CAFF (relationship building, question choice and data representation) were present in every virtual AGF session. Virtual facilitation was effective in supporting the transition of participants through different steps of CAFF in each session to lead to change talk and planning. All participants contributed to discussion during the AGF sessions. The post AGF session surveys were filled by 66% of participants (55/83), with over 90% of respondents reporting that the session helped them improve practice. 46% of participants (38/83) completed personal commitment to change forms at the end of the sessions. Conclusions Virtual AGF sessions, developed and implemented with fidelity to the CAFF approach, successfully engaged physicians in a group learning environment that led to change planning. Further studies are needed to determine the generalizability of our findings and to add to the literature on evidence-based virtual facilitation techniques.

Abstract Artificial intelligence (AI) has experienced exponential growth in recent years, profoundly transforming various aspects of life, particularly in education. As a team of educational technology innovators, we have developed a series of generative AI features within our social learning management system, CourseNetworking, to boost student engagement in online discussions and enhance instructor efficiency. This article introduces three key features: automated hashtagging, automated post reflection, and AI-driven quiz question generation. We examine the goals and technical implementation of each feature, present solutions to challenges encountered during development and deployment, and share the best practices we have accumulated. Additionally, we outline our plans for future advancements. This paper seeks to foster understanding and collaboration among developers, educators, institutional leaders, and researchers, with the aim of using AI technology to improve educational products and services, ultimately elevating learning experiences and outcomes.

Gender role ideology, i.e. beliefs about how genders should behave, is shaped by social learning. Accordingly, if perceptions about the beliefs of others are inaccurate this may impact trajectories of cultural change. Consistent with this premise, recent studies report evidence of a tendency to overestimate peer support for inequitable gender norms, especially among men, and that correcting apparent norm misperception promotes transitions to relatively egalitarian beliefs. However, supporting evidence largely relies on self-report measures vulnerable to social desirability bias. Consequently, observed patterns may reflect researcher measurement error rather than participant misperception. Addressing this shortcoming, we examine mens gender role ideology using both conventional self-reported and a novel wife-reported measure of mens beliefs in an urbanising community in Tanzania. We confirm that participants overestimate peer support for gender inequity. However, the latter measure, which we argue more accurately captures mens true beliefs, implies that this tendency is relatively modest in magnitude and scope. Overestimation was most pronounced among men holding relatively inequitable beliefs, consistent with misperception of peer beliefs reinforcing inequitable norms. Furthermore, older and poorly educated men overestimated peer support for gender inequity the most, suggesting that outdated and limited social information contribute to norm misperception in this context.

Background: Most studies in the field of addiction have focused on indicators affecting addiction, and a few studies have focused on the effect of social factors on drug relapse. Therefore, due to the multidimensional nature of the tendency to drug use, the study of drug reorientation through biological, social, cultural, and psychological factors is a basic necessity. Aims: This study aimed to investigate the social factors affecting the reduction of drug addicts' relapse. Methods: The research method was descriptive and correlational. The statistical population of this study consisted of all young people in the age range of 15 to 30 years old in Izeh city in 2024, which according to the report of the Drug Control Organization of Izeh city, is 3200 people. The sample consisted of 345 young drug users who were referred to addiction treatment camps in Izeh City and were selected by convenience sampling. To collect the research data, the researcher-made social learning, social support, and social participation questionnaires and the craving of Salehi Fadardi et al. (2010) were collected. To analyze the research data, SPSS.26 software was used using Pearson correlation coefficient and multivariate regression using simultaneous method. Results: The results of the Pearson correlation coefficient showed that there is a negative and significant relationship between social learning, social support, and social participation with craving (P< 0.05). The results of multivariate regression showed that social support (35%), social participation (62%), and social learning (13%) explained the variance of drug relapse temptation in young people, respectively. Conclusion: The results show that people who are more likely to reuse drugs have lower levels of support, participation, and social learning. Therefore, it is recommended to pay attention to these variables and develop educational programs based on these variables to reduce drug reuse in users. [ABSTRACT FROM AUTHOR]

Purpose – Sustainable and climate-adapted urban development requires integrative governance approaches and forms of collaboration between different disciplinary actors in urban society. Integrative approaches are a particular challenge for those planning cultures in which they are not yet sufficiently established. This also applies to formal urban land-use planning in Germany, which forms the governance setting of this study. This study aims to examine how interdisciplinary participation in formal urban land-use planning contributes to the consideration of climate adaptation in the planning process. Design/methodology/approach – This paper traces the process of two differently designed interdisciplinary participation formats based on the methodological framework of a gaming simulation, each in the context of a formal urban land-use planning procedure in Bottrop, Germany. The gaming simulations are designed as performance simulations in which we involved several representatives from different public authorities. Findings – The gaming simulations show that interdisciplinary participation can lead to an increased awareness of climate adaptation requirements in particular and a mutual understanding of different logics of action in the context of comprehensive and sustainable urban planning in general. In addition, this paper provides recommendations as to how and under what conditions the benefits of the simulations can be transferred to municipal practice. Originality/value – While integrative and interdisciplinary formats are increasingly being used in the context of informal urban planning, this does not apply to formal urban land-use planning. Participation in formal urban land-use planning procedures is classically linear and multidisciplinary in Germany. Using two simulated interdisciplinary participation formats, this paper tested to what extent the consideration of climate adaptation requirements as a cross-sectoral task can benefit from interdisciplinarity in the context of two formal urban land-use planning procedures.

Abstract The study aims to investigate the effect of organizational learning on business resilience in developing the hospitality industry, specifically focusing on four-star hotels in the southeast region of Nigeria. One of the major reasons why this research was conducted is because of the vacuum that exists between organizational learning and business resilience in the hospitality industry. A cross-sectional survey design was employed because it supports using questionnaires to collect data from participants. A validated and reliable instrument was used to collect data from two hundred thirty one participants drawn from the selected hospitality industry in the southern part of Nigeria. The results demonstrate that organizational learning significantly positively affects business resilience. Organizational learning also affects crisis anticipation and recoverability which are crucial to be resilient in the industry. The results of this research supported prior empirical findings and supported both social learning theory and resilience theory. Regarding originality, the geographical scope and the industry where this research was conducted distinguish it from other prior empirical investigations. It was recommended that since the hospitality business is highly competitive, managers should utilize organizational learning as a strategy to overcome their competitors and remain sustainable in the industry. The findings of the research will contribute to the literature and hospitality industry in developing country contexts.

Harbor seals (Phoca vitulina) are more solitary than many other pinnipeds. Yet, they are capable of vocal learning, a form of social learning. Most extant literature examines social animals when investigating social learning, despite sociality not being a prerequisite. Here, we report two formerly silent harbor seals who initiated vocalizations, after having repeatedly observed a conspecific receiving food rewards for vocalizing. Our observations suggest both social and vocal learning in a group of captive harbor seals, a species that lives semi-solitarily in the wild. We propose that, in this case, social learning acted as a shortcut to acquiring food rewards compared to the comparatively costly asocial learning.

Abstract Background While complex dog–human coexistence has been deeply investigated, there is a relative scarcity of similar knowledge regarding dog–dog interactions. Social learning, a fundamental synchronizing mechanism between dogs and humans, was recently found to be influenced by the functional breed selection of dogs: with the cooperative breeds being more effective learners from a human demonstrator than the independent working breeds were. Here, we investigated whether these differences would also be present when dogs had to learn from another dog and how to effectively perform a detour around a transparent V-shaped obstacle. We tested dogs from 28 independent and 19 cooperative breeds in three consecutive trials. In the control groups, all dogs had to detour on their own the obstacle. In the dog demonstration groups, in trial 1, the subjects had to detour on their own, but before the next two trials, a trained dog showed them the solution. Results We found that the performance of the two breed groups was the same in the without demonstration groups. However, after observing the dog demonstrator, the independent dogs learned the task more successfully than the cooperative breeds did. In the case of the independent working breeds, detour latencies significantly dropped along the consecutive trials, and these dogs also showed higher rate of successful detours after observing the demonstrator dog’s action than in the control group. Conclusions This is the first study where the consequences of functional breed selection were confirmed in a scenario that involved conspecific social learning in dogs. The results fit well to the ecologically valid framework of the evolutionary past of dog breed formation, in which cooperative breeds were selected for their interactivity with humans, whereas independent breeds often had to work together with their conspecifics. Graphical Abstract

Abstract Domestic dogs have been shown to copy their caregiver’s actions, including ones which are causally-irrelevant to a physical goal—a behaviour called “overimitation”. In a new overimitation task with a non-food reward, this study investigated “causal misunderstanding”—falsely assuming causally-irrelevant actions to have functional relevancy—as an explanation for dog overimitation (N = 81). By providing dogs with prior experience of the task to learn about the consequences of its irrelevant box-stepping and relevant bucket-opening action to obtain a toy-ball, we tested whether and when dogs would copy their caregiver’s irrelevant-action demonstrations. Dogs with and without prior experience were compared to a third (control) group of dogs, who had neither prior experience nor caregiver demonstrations of the task. Results revealed that the timing of overimitation, rather than its frequency, was closely related to dogs' prior experience: dogs with prior experience attended to their reward first, then interacted with the irrelevant box later (“post-goal overimitation”), while dogs without prior experience first interacted with the irrelevant box (“pre-goal overimitation”). Our results suggest that, when action consequences are understood, dogs are overimitating for a secondary social goal that is clearly distinct from the task goal of obtaining a physical reward.

Individual dietary specialization, where individuals occupy a subset of a population's wider dietary niche, is a key factor determining a species resilience against environmental change. However, the ontogeny of individual specialization, as well as associated underlying social learning, genetic, and environmental drivers, remain poorly understood. Using a multigenerational dataset of female European brown bears (Ursus arctos) followed since birth, we discerned the relative contributions of environmental similarity, genetic heritability, maternal effects, and offspring social learning from the mother to individual specialization. Individual specialization accounted for 43% of phenotypic variation and spanned half a trophic position, with individual diets ranging from omnivorous to carnivorous. The main determinants of dietary specialization were social learning during rearing (13%), environmental similarity (5%), maternal effects (11%), and permanent between-individual effects (9%), whereas the contribution of genetic heritability (3%) was negligible. The trophic position of offspring closely resembled the trophic position of their mothers during the first 3–4 years of independence, but waned with increasing time since separation. Our study shows that social learning and maternal effects were more important for individual dietary specialization than environmental composition. We propose a tighter integration of social effects into studies of range expansion and habitat selection under global change. Individual dietary specialization is impacted by development, social learning, genetics, and environment. Here, the authors document European brown bear diet in a multigenerational female sample, finding that social learning during rearing was the most important contributor to dietary specialization. [ABSTRACT FROM AUTHOR]

Generalized trust has reached new lows in America, with young Americans now trusting the least. This complicates the process of interacting with new people, which formerly contributed to trust. The present study thus tested whether networked modes of social contact and social learning might add to interpersonal competence and generalized trust. Responses to a national web survey were matched to US Census percentages for sex, race, ethnicity, age, and region. The sample resembles the US population demographically and is theoretically large enough to represent it (N = 1500). Data were analyzed using SPSS and PROCESS. Diverse contact in person was unrelated to trust in general and only contributed to trust for respondents 70 or older when particular age groups were considered. Interpersonal competence, on the other hand, contributed to trust overall, and for respondents 18–29, 40–49, and 50–59. Feeling capable of interacting with new people in person has become more important than the contact itself for trusting, as a way of generating numerous diverse interactions over time. Networked efforts of sociability and posting behavior were also related to trust here. Posting related to trust for respondents 18–29, while sociability contributed to trust for those 18–29, 30–39, and 50–59. Social presence (i.e., sensing immediacy and intimacy in networked settings) related to trust overall and for those 18–29 and 40–49. Computer‐mediated communication (CMC) competence contributed to trust indirectly, by way of social presence, and the indirect effect was the largest for the youngest users surveyed. CMC competence had a larger association with interpersonal competence for younger generations as well, which became a second indirect path to trusting. Different age groups draw trust from different places, and trust interventions should also differ with age. [ABSTRACT FROM AUTHOR]

Previous studies suggest that social learning in bumblebees can occur through second-order conditioning, with conspecifics functioning as first-order reinforcers. However, the behavioural mechanisms underlying bumblebees' acquisition of socially learned associations remain largely unexplored. Investigating these mechanisms requires detailed quantification and analysis of the observation process. Here we designed a new 2D paradigm suitable for simple top-down high-speed video recording and analysed bumblebees' observational learning process using a deep-learning-based pose-estimation framework. Two groups of bumblebees observed live conspecifics foraging from either blue or yellow flowers during a single foraging bout, and were subsequently tested for their socially learned colour preferences. Both groups successfully learned the colour indicated by the demonstrators and spent more time facing rewarding flowers—whether occupied by demonstrators or not—compared to non-rewarding flowers. While both groups showed a negative correlation between time spent facing non-rewarding flowers and learning outcomes, the observer bees in the blue group benefited from time spent facing occupied rewarding flowers, whereas the yellow group showed that time facing unoccupied rewarding flowers by the observer bees positively correlated with their learning outcomes. These results suggest that socially influenced colour preferences are shaped by the interplay of different types of observations rather than merely by observing a conspecific at a single colour. Together, these findings provide direct evidence of the dynamical viewing process of observer bees during social observation, opening up new opportunities for exploring the details of more complex social learning in bumblebees and other insects. [ABSTRACT FROM AUTHOR]

While there is ample evidence supporting genetic control of migratory behaviour in short‐lived passerines, long‐lived social species have been assumed to rely solely on cultural inheritance of migratory routes. Evidence from experimental studies supporting this idea is scarce. We tested whether the moult migration in taiga bean geese Anser fabalis has an inherited component or whether the birds need oblique social learning (where knowledge on migration is transferred from any experienced individual to any naïve individual conspecific) to carry out this journey. In many waterfowl species, non‐breeders and failed breeders migrate to remote places for wing moult while successful breeders stay at the breeding grounds and moult with their chicks. We translocated one‐year‐old taiga bean geese before their first moult migration to sites outside of the breeding range to examine whether they display innate moult migration behaviour without experienced conspecifics or not. The birds were equipped with GPS‐transmitters and released in randomly assigned groups of two. Wild control one‐year‐old birds were released immediately after capture with other non‐breeding geese, while a procedural control group consisting of older birds was held in captivity until being released at the same time with the translocated one‐year‐old birds but in the place where they were captured. Most translocated birds found conspecifics and either joined locally moulting breeders or followed experienced birds to moulting sites in Russia. Two of the translocated birds did not find other bean geese and settled to moult together in southwest Finland. The wild control birds moult‐migrated as expected, while only one of the procedural control birds moult‐migrated to Russia and the remaining three stayed with locally moulting breeders in Finland. Our results support the idea that moult migration in geese is culturally inherited, highlighting the importance of the non‐relative, experienced adult individuals in maintaining population‐specific behaviours. [ABSTRACT FROM AUTHOR]

After dispersal, what cues trigger social learning in immigrants? A new study in wild-caught great tits in PLOS Biology suggests that changes in the physical environment, rather than the social environment, are key in prompting social learning by immigrants. After dispersal, what cues trigger social learning in immigrants? This Primer explores a new PLOS Biology study in wild-caught great tits which suggests that changes in the physical environment, rather than the social environment, are key in prompting social learning by immigrants. [ABSTRACT FROM AUTHOR]

Longstanding theory predicts that strategic flexibility in when and how to use social information can help individuals make adaptive decisions, especially when environments are temporally or spatially variable. A short-term increase in reliance on social information under these conditions has been experimentally shown in primates, including humans, but whether this occurs in other taxa is unknown. We asked whether migration between spatially variable environments affected social information use with a large-scale cultural diffusion experiment with wild great tits (Parus major) in captivity, a small passerine bird that can socially learn novel behaviors. We simulated an immigration event where knowledgeable birds were exchanged between groups with opposing preferences for a socially learned foraging puzzle, living in similar or different environments. We found evidence that both immigrants and residents were influenced by social information and attended to the rewards that others received. Our analysis supported the use of a payoff-biased social learning by immigrants when both resources and habitat features were spatially variable. In contrast, immigrants relied more-so on individual learning when payoffs or the environment were unchanged. In summary, our results suggest that great tits assess the payoffs others receive and are more influenced by socially observed differences in payoffs when environmental cues differ in their new environment. Our results provide experimental support for the hypothesis that spatial variability is a strong driver for the evolution of social learning strategies. Theory predicts that strategic flexibility in using social information can help individuals make adaptive decisions. A large-scale cultural diffusion experiment reveals that great tits (Parus major) use a payoff-biased social learning strategy when immigrating into an environment with different environmental cues and rewards. [ABSTRACT FROM AUTHOR]

The study aims to investigate the effect of organizational learning on business resilience in developing the hospitality industry, specifically focusing on four-star hotels in the southeast region of Nigeria. One of the major reasons why this research was conducted is because of the vacuum that exists between organizational learning and business resilience in the hospitality industry. A cross-sectional survey design was employed because it supports using questionnaires to collect data from participants. A validated and reliable instrument was used to collect data from two hundred thirty one participants drawn from the selected hospitality industry in the southern part of Nigeria. The results demonstrate that organizational learning significantly positively affects business resilience. Organizational learning also affects crisis anticipation and recoverability which are crucial to be resilient in the industry. The results of this research supported prior empirical findings and supported both social learning theory and resilience theory. Regarding originality, the geographical scope and the industry where this research was conducted distinguish it from other prior empirical investigations. It was recommended that since the hospitality business is highly competitive, managers should utilize organizational learning as a strategy to overcome their competitors and remain sustainable in the industry. The findings of the research will contribute to the literature and hospitality industry in developing country contexts. Article Highlights: Organizational learning significantly affects business resilience. Organizational learning also helps organization to anticipate crises better Organization learning enhanced recoverability which is crucial to being resilient and sustainable [ABSTRACT FROM AUTHOR]

In modern circuit design, the short-circuit problem is one of the key factors affecting routability. With the continuous reduction in feature sizes, the short-circuit problem grows significantly in detailed routing. Track assignment, as a crucial intermediary phase between global routing and detailed routing, plays a vital role in preprocessing the short-circuit problem. However, existing track assignment algorithms face the challenge of easily falling into local optimality. As a typical swarm intelligence technique, particle swarm optimization (PSO) is a powerful tool with excellent optimization ability to solve large-scale problems. To address the above issue, we propose an effective track assignment algorithm based on social learning discrete particle swarm optimization (SLDPSO-TA). First, an effective wire model that considers the local nets is proposed. By considering the pin distribution of local nets, this model extracts and allocates more segments to fully leverage the role of track assignment. Second, an integer encoding strategy is employed to ensure that particles within the encoding space range correspond one-to-one with the assignment scheme, effectively expanding the search space. Third, a social learning mode based on the example pool is introduced to PSO, which is composed of other particles that are superior to the current particle. By learning from various objects in the example pool, the diversity of the population is improved. Fourth, a negotiation-based refining strategy is utilized to further reduce overlap. This strategy intelligently transfers and redistributes wire segments in congested areas to reduce congestion across the entire routing panel. Experimental results on multiple benchmarks demonstrate that the proposed SLDPSO-TA can achieve the best overlap cost optimization among all the existing methods, effectively reducing congestion in critical routing areas. [ABSTRACT FROM AUTHOR]

Micro-society experimental setups are increasingly used to infer aspects of human behavioural evolution. A key part of human society today is our dependence on, and use of, technology–whether simple (such as a knife) or complex (such as the technology that underpins AI). Previously, two groups of researchers used an abstracted-wheel experiment to explore the evolution of human technical behaviour, reaching fundamentally different outcomes. Whereas one group saw their results as indicating social learning only (void of causal understanding), the other inferred non-social technical reasoning as part of human technical behaviour. Here we report on the third generation of the micro-society abstracted-wheel experiment. We argue that causal reasoning is inseparable from both social learning and technical reasoning, and that these traits probably co-evolved into the current human socio-technical niche. Based on our outcomes, we present a critical assessment of what this experiment may (or may not) reveal about the evolution of human technical behaviour. We show that the abstracted-wheel experiment reflects behavioural output only, instead of testing for cognition. It is therefore limited in its ability to inform on aspects of human cognitive evolution, but it can provide useful insights into the interrelatedness of social learning, technical reasoning, and causal reasoning. Such a co-evolutionary insight has the potential to inform on aspects of human socio-technical evolution throughout the Pleistocene. [ABSTRACT FROM AUTHOR]