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Some hierarchical models of speech timing represent prosodic constituents as oscillators that are coupled, thereby influencing each other’s duration. Alternative approaches focus on the systematic distribution of localized speech-timing effects, such as phrase-final lengthening and stress-based lengthening. In this review, we explore how oscillator-based speech-timing models may be informed by, and possibly reconciled with, approaches that emphasize local timing effects. We consider data from temporally constrained speech production tasks, such as speech cycling, and explore the nature of the hierarchical coordination of prosodic constituents observed therein. In particular, we examine how variation – between dialects and between languages – in the magnitude of the durational contrast between stressed and unstressed syllables may help to account for observed patterns of temporal coordination. Finally, we explore how speech behavior in temporally constrained tasks may be informative about speakers’ coordination of turn-taking in natural dialogues.
We define the third category of knowledge infusion, that is, deep infusion of knowledge, as a paradigm that couples the latent representation learned by deep neural networks with KGs exploiting the semantic relationships between entities. This chapter will provide a theoretical background to achieve deep infusion, as illustrated in Figures 6.1 and 6.2. We aim to:
Humans interact with the environment using a combination of perception – transforming sensory inputs from their environment into symbols – and cognition – mapping symbols to knowledge about the environment for supporting abstraction, reasoning by analogy, and long-term planning. Human perceptioninspired machine perception, in the context of AI, refers to large-scale pattern recognition from raw data using neural networks trained using self-supervised learning objectives such as next-word prediction or object recognition. In contrast, machine cognition encompasses more complex computations, such as using knowledge of the environment to guide reasoning, analogy, and long-term planning. Humans can also control and explain their cognitive functions. This seems to require the retention of symbolic mappings from perception outputs to knowledge about their environment. For example, humans can follow and explain the guidelines and safety constraints driving their decision making in safety-critical applications such as healthcare, criminal justice, and autonomous driving. While data-driven neural network-based AI algorithms effectively model machine perception, symbolic knowledgebased AI is better suited for modeling machine cognition. This is because symbolic knowledge structures support explicit representations of mappings from perception outputs to the knowledge, enabling traceability and auditing of the AI system’s decisions. Such audit trails are useful for enforcing application aspects of safety, such as regulatory compliance and explainability, through tracking the AI system’s inputs, outputs, and intermediate steps. This chapter introduces neurosymbolic AI, combining neural networks and knowledgeguided symbolic approaches to create more capable and flexible AI systems. These systems have immense potential to advance both algorithm-level (e.g., abstraction, analogy, reasoning) and application-level (e.g., explainable and safety-constrained decision-making) capabilities of AI systems.
On phrasal timescales, spontaneous conversational speech is not very rhythmic. Instead, periods of speech activity are intermittent: Words tend to come in short bursts and are often interrupted with hesitations. Nonetheless, it has been suggested that there is a production mechanism that generates phrasal rhythmicity in speech. This chapter examines the empirical evidence for such a mechanism and concludes that speakers do not directly control the timing of phrases. Instead, it is argued that temporal patterns associated with phrases are epiphenomena of processes involved in conceptual-syntactic organization. A model is presented in which coherency-monitoring systems govern the initiation and interruption of speech activity. Hesitations arise when conceptual or syntactic systems fail to achieve sufficiently ordered states. The model provides a mechanism to account for intermittency on phrasal timescales.
This Element explores the evolutionary role of small groups as key actors in shaping human adaptability, resilience, and societal development. Drawing on cultural evolutionary theory and interdisciplinary scholarship, it illuminates the world-making and transformative capacities of small groups as primary agents of cooperative communication, cultural innovation, and transmission. Through historical and contemporary case studies from Europe, Asia, Africa, and the Americas, it examines how small groups function both as catalysts for moral imagination, cooperation, and democratic renewal, and as drivers of destructive ideologies and social disintegration. The study also reassesses the relevance of evolutionary insights for addressing the major crises of the twenty-first century. By critically engaging with foundational thinkers and ongoing debates on democratic and institutional innovation, this Element offers insights for scholars, policymakers, and civic actors committed to empowering communities and countering authoritarian regression.
Current approaches to bilingualism and language learning ability obscure differences between capacity for learning (ability) and dominance (relative proficiency). Bilingual children with developmental language disorder (DLD) have persistent difficulties with complex syntax. The effects of language learning ability and relative proficiency on syntactic development in bilingual acquisition are not well described. This cross-sectional study examined the continuous effects of language ability and relative proficiency on the production of conditionals, subject/object relatives and passives in a sample of 34 five- to nine-year-old Spanish–English bilingual children, 12 of whom were identified as having DLD. Conditionals were significantly easier than other forms, and there were no differences between subject and object relatives. Higher language ability was associated with greater accuracy. Relative proficiency predicted higher English performance for balanced and English-dominant children. Further examination of language ability and relative proficiency in diverse language learners is warranted.
Language, emotion, and environment jointly shape how words are processed in real life. This study tested how valence and simulated weather influence bilingual lexical access in virtual reality (VR). Forty Spanish–English bilinguals completed a language-decision task with negative high-arousal and neutral low-arousal words under sunny and rainy conditions. Accuracy was high, with no reliable effects. Reaction times were faster for negative than for neutral words and slower under rain than sun, with no significant language effect. A Weather by Trial Order interaction reflected a practice-related speeding under sun under sunny weather. Valence and weather exerted additive influences, and weather did not modulate language or valence effects. These findings suggest that realistic perceptual load imposes general costs without altering emotional or language-related processing. The study underscores VR’s potential to integrate ecological validity into psycholinguistic paradigms, revealing how intrinsic and extrinsic factors jointly constrain bilingual emotional word processing.
The LSE Behavioural Public Policy Knowledge Exchange Group (hereafter the Group) was formed to bring together behavioural specialists across the public and private sectors, the international agencies and academia. The purpose of the Group was for its members to discuss the role that behavioural science ought to play in informing decisions that affect individuals and society. The hope was that, by having a Group of the various stakeholders in behavioural public policy meet regularly over an extended period, a shared understanding of the appropriate objectives of this subfield of public policy might be agreed upon. At the very first meeting of the Group, an attempt was thus made to identify some behavioural public policy principles that all members of the Group could accept. At that meeting, there was common consensus in supporting the use of behavioural public policy to strengthen individual agency in the decisions that people take that affect their own lives, to target externality concerns, and to protect and nurture the social instincts.
This article analyses how coinciding anniversaries of the Sonderkommando revolt (7 October 1944) and the 7 October 2023 Hamas terror attacks on Israel shaped digital Holocaust memory. It contributes to the study of social media users’ reactions to the online commemorative efforts of Holocaust memory institutions. Adapting Rothberg’s concept of ‘multidirectional memory’, we code a small, yet rich set of X posts, comments, and quote reposts, focusing on social media users’ engagement with the Auschwitz-Birkenau State Museum’s X account during the anniversaries. We ask how did X social media users react to Auschwitz-Birkenau State Museum’s commemoration of the eightieth anniversary of the Sonderkommando revolt on the first anniversary of 7 October 2023 Hamas attacks on the platform? And how can the concept of multidirectional memory be used to understand the comparative instrumentalization of Holocaust memory on social media? Our results demonstrate the utility of the multidirectional memory concept and four types of comparative instrumentalization (empathising commemoration, empathising contestation, polarising commemoration, and polarising contestation). They show that many X users reacted by highlighting the moral capacity of Holocaust memory, but that others flattened Holocaust memory or competitively equated it with or distinguished it from contemporary violence in the Middle East. The article highlights how anniversaries intensify the online entanglement of commemoration and contestation, often forcing Holocaust memory institutions into contested digital terrains where empathy, solidarity, polarisation, and competition intersect and exacerbate the ‘Catch-22’ situation they face: critiqued for drawing parallels with contemporary events or chastised for not.
The goal of the present study is to understand whether youth with Noonan Syndrome Spectrum Disorder (NSSD) are at increased risk of neurocognitive difficulties when living in resource depleted communities.
Method:
Youth (5–17 years; Mage = 9.48 years) with NSSD (n = 140) and unaffected youth (4–15 years; Mage = 9.63 years; n = 85) were included. We ascertained the Child Opportunity Index Health and Environment Index (COI H/E) national-level Z-scores and assessed academic achievement and executive function. Multiple regressions were run to analyze the effects of diagnosis (whether the child had NSSD), COI H/E Z-scores, and diagnosis × COI H/E Z-score interaction on academic achievement (i.e., word reading, math, spelling, and sentence comprehension) and executive skills (i.e., performance-based working memory and processing speed and parent-rated measure of daily executive skills).
Results:
Diagnosis was a significant predictor in each model. COI H/E Z-score was a significant predictor of spelling and a marginally significant predictor of sentence comprehension scores. There was a significant diagnosis × COI H/E Z-score interaction for working memory, and marginally significant interactions for spelling and sentence comprehension scores. Higher H/E Z-scores were associated with better working memory in the NSSD group and better academic achievement in the unaffected group.
Conclusions:
While the effects of NSSD are large on all assessed domains, there is an additional burden of resource depletion on working memory abilities of youth with NSSD. Academic achievement in the NSSD group was lower than the unaffected group across resource-depleted/enriched environments, demonstrating the profound effects of NSSD on academic functioning.
Religion and spirituality in the family is a burgeoning field of inquiry. This Element begins by providing basic definitions, theoretical underpinnings, and common assessments of religion and spirituality (R/S) within the family. The authors also examine individuals' religious and spiritual (R/S) landscapes in relation to family functioning, and then consider positive psychology dimensions such as gratitude, humility, compassion, and forgiveness within the context of family members' religiousness and spirituality. Finally, interventions focused on R/S in the family unit and children's medical complications in relation to R/S factors and familial functioning are discussed. Conclusions include recommendations for future research and clinical practice to support families via an R/S lens.
Parental differential treatment is associated with higher levels of psychopathology symptoms in children. Both higher overall levels of differential treatment (absolute/magnitude of differential treatment) and consistently favoring one child over another (relative differential treatment) are associated with risk in children. This study enhances understanding of parental differential treatment using a genetically informed twin design that clarifies child- and parent-driven effects. Participants included 632 twin pairs (Mage = 7.6 years, SD = 0.94; 96% White, 44% Rural) and parents. Parental differential treatment was assessed using an observed card game interaction and reports from mothers, fathers, and children. Twin modeling indicated heritable influences on parental hostility (h2 = .34 for females, .06 for males) and intrusiveness (h2 = .51 across the sample), suggesting that children’s heritable traits elicit parenting. Observed intrusiveness differences predicted ADHD. Absolute and relative differences in maternal discipline predicted externalizing, internalizing, and ADHD symptoms, with a similar but less strong pattern for paternal discipline. However, absolute differences in paternal affection and paternal partiality proved especially important for children’s psychopathology. Findings show children’s behavior can elicit maladaptive differences in parenting, informing interventions.
The objective of this study is to explore public sector clinicians’ perspectives on factors associated with relapse in schizophrenia within a South African context, focusing on structural, social and environmental contributors beyond treatment non-adherence. Three focus groups were conducted with 14 public-sector clinicians (psychiatrists, medical officers, psychiatric registrars and psychiatric nurses) with ≥5 years’ experience in schizophrenia care. Data were analysed using reflexive thematic analysis to identify themes relating to relapse risk. Clinicians consistently described medication non-adherence, often the immediate trigger for relapse, as emerging from interrelated health system and socio-structural constraints, including poverty, unemployment, unsafe communities, fragmented services and stigma. Limited access to newer-generation antipsychotics, medication stockouts, early discharges due to bed shortages and scarce post-discharge rehabilitation compounded relapse risk. Family support was frequently undermined by financial strain and competing demands, while crime and gang violence discouraged clinic attendance. Stigma within both communities and healthcare settings reduced trust and engagement. In this lower-middle-income country context, relapse prevention depends on integrated strategies that combine clinical management with interventions addressing structural and social determinants. Policy priorities include strengthening primary-level mental healthcare, ensuring medication supply continuity, expanding supervised care and vocational programmes, implementing stigma-reduction initiatives and fostering intersectoral collaboration to address safety and spatial inequities in service provision.
This study explores whether the ability to process grammatical evidentiality is compromised in older adults speaking Turkish and Korean, two languages that grammatically encode evidentiality. Building on previous research that suggests cognitive demands associated with language structures may reduce processing capacity in older adults, we conducted self-paced reading experiments using sentence contexts involving grammatical evidentials. We tested adult groups of young (N = 44, ages 19–27) and older (N = 37, ages 48–70) speakers of Korean and young (N = 31, ages 18–31) and older (N = 42, ages 50–85) speakers of Turkish. The results indicate that both language groups rated mismatched evidential verb forms as unacceptable, with Turkish speakers more likely to interpret mismatches as acceptable than Korean speakers. Notably, older Korean adults exhibited longer reading times (RTs) for direct evidential mismatches, while older Turkish adults showed longer RTs for indirect evidential verbs, suggesting age-related disruptions in processing. The findings only partially support the hypothesis that predicts grammatical processing differences in older compared to younger adults.