In the coming decades, cities and other local governments will need to transform their infrastructure as part of their climate change mitigation and adaptation efforts. When they do, they have the opportunity to build a more resilient, sustainable, and accommodating infrastructure for humans and non-humans alike. This chapter surveys a range of policy tools that cities and other local governments can use to pursue co-beneficial adaptations for humans, non-humans, and the environment. For example, they can add bird-friendly glass to new and upgraded buildings and vehicles; they can add overpasses, underpasses, and wildlife corridors on transportation systems; they can reduce light and noise pollution that impact humans and nonhumans alike; they can use a novel trash policy to manage rodent populations non-lethally; and more.

It is a privilege to present the introduction to this new volume of The Cambridge Handbook of Language and Brain. The chapters in this volume represent important trends, methods, and central questions in research on brain and language that encompasses perspectives that include a spectrum of studies in methodology that range from healthy subjects that use one or multiple languages to neurodiversity and neurological disorders. A reader looking to come up to speed on a particular topic in language and the brain need look no further than thorough the list of contributions in this book.

The COVID-19 pandemic revealed the fractured state of global health law infrastructure. Establishing a One Health framework in law and policy is necessary to address the multitude of interlinked global health and sustainability challenges, including the risk of emerging and re-emerging infectious diseases, climate change, antimicrobial resistance, and food insecurity. This chapter will look at domestic and regional institutional collaborative frameworks focused on One Health, drawing on the development and implementation of integrated frameworks at the country level including, Egypt, Vietnam, Kenya, and India. Additionally, it will see how regional cooperation in the Arctic has led to the adoption and implementation of One Health policy guidelines and frameworks at the domestic level. The examination of national approaches will provide a critical analysis of key opportunities and barriers for domestic policy guidelines moving forward.

Music & spoken language share many features by combining smaller units (e.g., words, notes) into larger structures (e.g., sentences, musical phrases). This hierarchical organization of sound is culturally contingent & communicates meaning to listeners. Comparisons of music & language from a cognitive neuroscience perspective provide several insights into commonalities & differences between these systems, how they are represented in the brain. The cognitive neuroscience research of music & language, emphasizes the pitfalls & promises identified, including (1) the apparent acoustic & structural similarities between these systems, (2) how both systems convey meaning to listeners, (3) how these systems are learned over the course of development, & (4) the ways in which experience in one domain influences processing in the other domain. We conclude that searching for similarities in how these complex systems are structured (e.g., comparing musical syntax to linguistic syntax) represents a pitfall that researchers should approach with caution. A promising approach in this area of research is to examine how general cognitive mechanisms underlie the learning & maintenance of both systems

During the Symposium held in Manhattan in 2004 coining the One Health approach, the role of environmental law was underlined. The IUCN Commission on Environmental Law, through its representative from Southeast Asia, insisted on the importance of biodiversity conservation and the protection of wildlife while massive culling measures were taken to counteract zoonotic diseases. In this chapter we will show how the development of the One Health approach has been historically favoured by environmental law, acknowledging the interactions between health and biodiversity. We will detail how it has spread into the multilateral environmental agreements in relation to biodiversity conservation and how the environmental protection arena has evolved quite independently from the health sector in implementing the One Health approach until UNEP joined the FAO-OIE (WOAH)-WHO forces and the input from the OHHLEP (One Health High Level Expert Panel) in that respect. We will conclude with examples of One Health implementation in relation to environmental law, whether they concern research projects or training, notably in Southeast Asia.

Animal rights theory and the One Health approach share similarities in that they are gaining prominence and are presented as pathways to address the challenges of the Anthropocene. These two discourses may, however, be conceived as philosophically incompatible. On the one hand, animal rights theory centres on the inherent worth of individual animals. One Health, on the other hand, emerges from an understanding of ecology and focuses on the health of nature as a broad system. Where the individual rights of an animal and the interests of human/animal/environmental health conflict, animal rights and One Health would presumably propose different resolutions.

In an effort to reconcile these promising theories, this chapter seeks to locate a recognition of animal intrinsic worth within the One Health paradigm. In pursuing this objective, it seeks to conceive of animal rights as compatible with and as part of a broader One Health paradigm. On this basis, it explores the theoretical implications of such an approach for contemporary societies and their common uses of animals.

Anticipatory processes can influence how quickly comprehenders can process novel linguistic input and how they learn from linguistic surprises. This chapter outlines experimental evidence establishing the psychological reality of anticipatory processes and sketches some contemporary accounts that explain how comprehenders generate predictions from linguistic input. Accounts like Pickering & Gambi’s (2018) formulation suggest that comprehenders covertly engage language production mechanisms to generate predictions about future input and to know when it is time to stop processing current input. Kuperberg and colleagues’ (2021, 2023) formulation lays out a multi-layered network that produces predictions for several different types of linguistic and semantic information (phonological/orthographic, syntactic, lexical, event). N-gram accounts (Brennan, 2020; Hale, 2003, 2016) focus on word predictions and include formal metrics of entropy and surprisal derived from information-theoretic frameworks like Shallice’s. On this account, comprehenders store in long-term memory strings of words (N-grams) and these stored patterns serve as the basis for calculating entropy (how many different continuations are possible at a given point) and surprisal (how likely is a specific word in a specific context). We present a variety of evidence indicating that n-grams may not be the sole or main basis for predictions.

Since the late 1990s, thousands of fMRI studies have been conducted on different aspects of language processing in the human brain. The earlier studies were generally devoted to first language or monolingual processing, but the field has continued to expand to include both studies of a single first language, and bi/multilingual language processing in the brain. A modest number of fMRI longitudinal studies of second language acquisition began to emerge over the past 13 years. The following analysis uses the findings of these BOLD fMRI longitudinal studies of second language acquisition, including comparison with cross-sectional studies of L2 acquisition, to make recommendations for enhancing the research design and empirical measurements to facilitate new methodologies and approaches. Conclusions include a discussion of the utility of longitudinal studies, elucidation of the theoretical foundation of dynamic modeling underlying individual user variation in L1/L2 language processing, inclusion of a broader array of imaging techniques (structural DTI, resting state fMRI and functional connectivity), and the importance of proficiency measurements and proficiency testing as a part of research design.

We highlight the essential role of law and governance in advancing the transformative potential of One Health. While One Health has traditionally focused on public health and zoonotic disease, its broader application encompasses challenges such as biodiversity loss, climate change, and antimicrobial resistance. Despite its potential, One Health remains underutilised in governance and law, with much of its implementation focused on siloed scientific endeavours.

This book addresses these gaps, demonstrating how legal frameworks can embed and sustain One Health principles. It explores diverse themes, including multilevel governance, Indigenous Knowledge systems, environmental law, and emerging legal mechanisms, to showcase the interdisciplinary nature of One Health. Contributors emphasise the need for multisectoral collaboration, enforceable standards, and cross-disciplinary engagement to address governance barriers and ensure holistic, equitable outcomes.

By presenting a vision for the institutionalisation of One Health through law and policy, this volume challenges traditional approaches and offers pathways for integrating One Health into governance systems.

The emergence of robust accessibility to functional neuroimaging in the late 1990s and early 2000s provided a new way to study language processing in the human brain, the most common techniques being PET and fMRI studies. Prior to this moment, neural language mappings were tied to invasive procedures in surgery and pathology, where CSM (cortical stimulation mapping) was one of the primary sources of data. Reframing approaches to understanding language processing in the brain allowed for closer ties between the cognitive neurosciences and linguistic theory, as well as new perspectives of multimodalities, resting state functional connectivity, and embodied cognition. Here we explore the range of outcomes in functional and structural neuroimaging studies focusing on language processing in the brain, including studies of bi- and multilingualism. The chapter concludes with a discussion of some of the central challenges in neuroimaging studies of language(s), including software and inter-method discrepancies, protocol design, proficiency measurements, and ecological validity.

Language and other cognitive abilities interact with each other in a complex fashion. This interaction affects how we understand and develop models of cognitive function, interpret data reflecting neural activation and connectivity, and diagnose and treat language and cognitive conditions. The goal of this chapter is to provide a cohesive narrative introduction to major cognitive processes and some of the ways in which they interact with language processing. The chapter addresses four key non-linguistic cognitive processes: attention, memory, working memory, and executive function. Each process is discussed in terms of current thinking and prominent models regarding how it functions, its neural substrates, and how it affects and is affected by language function. While the cognitive processes discussed are presented separately, they share underlying relationships, and some models of cognition conceptualize the divisions between constructs differently. This chapter offers a clear but somewhat simplified overview in the interest of providing a basis for conceptualizing the interactive nature of language and other cognitive skills.

This chapter explores the role of functional connectivity (FC), as measured by FMRI, in the neural processes involved in the recovery from aphasia following left hemisphere strokes. It distinguishes between normalization (restoration of typical connectivity patterns) and compensation (reorganization and recruitment of new regions and connections). The chapter organization is based on two methodological dimensions. One is the type of connectivity measured: resting-state vs. task-based FC. The second is the study design: a single time-point scan, examining the correlation between connectivity and language performance across individuals; or a pre/post-treatment design, examining changes in connectivity within participants. While the results of many studies show that normalization of left hemisphere connectivity contributes to language performance, there is also evidence for compensatory processes in both hemispheres and in interhemispheric connectivity, as involved in language recovery. The chapter also highlights the role of connectivity with domain general networks in aphasia studies, beyond the language network. Studies measuring large scale networks show mixed evidence regarding the contribution of integration across networks vs. segregation and specialization of networks to language recovery. The chapter emphasizes the importance of considering factors like patient heterogeneity, lesion characteristics, and the type of FC analysis when interpreting results.