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The savannah–forest mosaic of the Rupununi region of Guyana is a dispersal corridor between large tracts of intact Guiana Shield forests and a subsistence hunting ground for Indigenous Makushi and Wapichan communities. We conducted a camera-trap survey at 199 sites across four major forested habitat types and used multi-species occupancy modelling to determine regional-scale drivers of mammalian occupancy at both species and community levels, accounting for imperfect detection. We detected 47 savannah- and forest-dwelling mammal species, with the occupancy of medium- and large-bodied terrestrial mammal species (community occupancy) positively related to per cent forest cover and negatively to the presence of gallery forest habitat. The occupancy of 15 of 30 species was positively related to forest cover, suggesting the importance of maintaining forested habitat within the broader mosaic comprising savannahs and intermediate habitats for sustaining maximum mammal diversity. Jaguar Panthera onca occupancy was associated with the presence of livestock, and giant anteater Myrmecophaga tridactyla occupancy was negatively associated with distance to the nearest road, both results of concern in relation to potential human–wildlife conflict. The probability of detecting terrestrial mammal species (community detectability) increased away from villages, as did the detectability of two large-bodied, hunted species, the lowland tapir Tapirus terrestris and collared peccary Pecari tajacu, potentially indicating the negative effects of subsistence and commercial hunting in this savannah mosaic habitat. We use our findings to discuss how management strategies for hunting, fire, timber harvest and agriculture within Indigenous titled lands could help ensure the sustainability of these traditional livelihood activities.
Patients with posttraumatic stress disorder (PTSD) exhibit smaller regional brain volumes in commonly reported regions including the amygdala and hippocampus, regions associated with fear and memory processing. In the current study, we have conducted a voxel-based morphometry (VBM) meta-analysis using whole-brain statistical maps with neuroimaging data from the ENIGMA-PGC PTSD working group.
Methods
T1-weighted structural neuroimaging scans from 36 cohorts (PTSD n = 1309; controls n = 2198) were processed using a standardized VBM pipeline (ENIGMA-VBM tool). We meta-analyzed the resulting statistical maps for voxel-wise differences in gray matter (GM) and white matter (WM) volumes between PTSD patients and controls, performed subgroup analyses considering the trauma exposure of the controls, and examined associations between regional brain volumes and clinical variables including PTSD (CAPS-4/5, PCL-5) and depression severity (BDI-II, PHQ-9).
Results
PTSD patients exhibited smaller GM volumes across the frontal and temporal lobes, and cerebellum, with the most significant effect in the left cerebellum (Hedges’ g = 0.22, pcorrected = .001), and smaller cerebellar WM volume (peak Hedges’ g = 0.14, pcorrected = .008). We observed similar regional differences when comparing patients to trauma-exposed controls, suggesting these structural abnormalities may be specific to PTSD. Regression analyses revealed PTSD severity was negatively associated with GM volumes within the cerebellum (pcorrected = .003), while depression severity was negatively associated with GM volumes within the cerebellum and superior frontal gyrus in patients (pcorrected = .001).
Conclusions
PTSD patients exhibited widespread, regional differences in brain volumes where greater regional deficits appeared to reflect more severe symptoms. Our findings add to the growing literature implicating the cerebellum in PTSD psychopathology.
Session types are type-theoretic specifications of communication protocols in concurrent or distributed systems. By codifying the structure of communication, they make software more reliable and easier to construct. Over recent decades, the topic has become a large and active research area within the field of programming language theory and implementation. Written by leading researchers in the field, this is the first text to provide a comprehensive introduction to the key concepts of session types. The thorough theoretical treatment is complemented by examples and exercises, suitable for use in a lecture course or for self-study. It serves as an entry point to the topic for graduate students and researchers.
The theoretical foundation of functional programming is the Curry-Howard correspondence, also known as the propositions as types paradigm. Types in simply typed lambda calculus correspond to propositions in intuitionistic logic: function types correspond to logical implications, and product types correspond to logical conjunctions. Not only that, programs correspond to proofs and computation corresponds to a procedure of cut elimination or proof normalisation in which proofs are progressively simplified. The Curry-Howard view has proved to be robust and general and has been extended to varied and more powerful type systems and logics. In one of these extensions the language is a form of pi calculus and the logic is linear logic, with its propositions interpreted as session types. In this chapter we present this system and its key results.
This chapter introduces a variant of the pi calculus defined in Chapter 2. We drop choice and channel closing, retaining only message passing. To compensate, messages may now carry values other than channel endpoints: we introduce record and variant values, both of which are standard in functional languages. We further introduce new processes to eliminate the new values. We play the same game at the type level: from input/output, external/internal choice and the two end types, we retain only input/output types. In return we incorporate record and variant types, again standard from functional languages. Unlike the input and output types in all preceding chapters, those in this chapter have no continuation. These changes lead to a linear pi calculus with record and variant types. The interesting characteristic of this calculus is that it allows us to faithfully encode the pi calculus with session types, even though it has no specific support for session types. We present an encoding based on work by Dardha, Giachino and Sangiorgi.
The previous chapters present a linear world in which each channel endpoint is possessed by exactly one thread. Linearity allows precise control of interference and that can be useful. If two processes engage in a series of consecutive message exchanges then we can be sure that messages are not sent to or received from foreign processes. Although linearity is often convenient, it can also be detrimental in concurrent systems. Purely linear systems cannot describe e-commerce interactions where a server (or a pool of servers) is expected to serve a much larger number of clients. Linear systems also fail to describe an auction, where at the end, only one bidder is to get the item for sale. This chapter introduces a type discipline that provides for channels that can be shared and consequently for processes that compete for resources, thus creating race conditions and nondeterminism. We do this in such a way that we do not need to revisit process formation or process reduction, and process typing only requires mild changes. We define the language and type system as extensions of those in Chapter 3.
Up to now, we have presented session type systems for the pi calculus. If session types are to be used for practical software development, they need to be applied to standard programming language paradigms rather than a foundational calculus. This chapter takes a step in that direction by defining a session type system for a concurrent lambda calculus, which can be regarded as a core concurrent programming language. After presenting some examples, we introduce a syntax for functional programs with concurrency and channel-based communication. We include infinite types from the beginning (based on Chapter 3) and include sharing (Chapter 4) and subtyping (Chapter 5). We then introduce a type system for the functional language, develop its operational semantics and prove type safety.
This chapter presents the basic concepts of session types, using the pi calculus as a core concurrent programming language for which a type system is defined. It assumes some familiarity with the pi calculus and the concepts of operational semantics and type systems. References to background reading are included at the end of the chapter.
Many type systems include the concept of subtyping, allowing a value of one type (the subtype) to be used as if it is a value of another type (the supertype). The aim is to allow greater flexibility in programming, while maintaining safety. In this chapter, we see how subtyping can be included in our system of session types. We build on the language in Chapter 4, using replicated input, rather than recursive process definitions, to express repetitive behaviour.
This chapter describes the evolution of computing systems, from data processing to an emphasis on communication, and motivates a corresponding evolution of the concept of typing. Data types codify the structure of data, and go back to the early days of programming languages. This book is about session types, which codify the structure of communication – they are type-theoretic specifications of communication protocols. The chapter summarises the assumptions about communication that are necessary for the theory of session types, and describes the behavioural safety properties that are guaranteed by checking session types.
The earlier chapters present session type systems declaratively, focusing on how typing judgements describe the way in which processes use channels. In order to apply session types to programming languages, it is essential to be able to implement an efficient typechecking algorithm which answers the question: given a candidate typing judgement, is it derivable? The declarative typing rules, however, are not immediately suitable for implementation. In this chapter we explain the problem and how to overcome it.
This chapter develops a theory of infinite session types in order to describe communication protocols that allow unbounded behaviour. The theory is based on the technical machinery of recursive types, coalgebras and coinduction, which the chapter introduces at an elementary level. Recursive process definitions are introduced so that unbounded behaviour can be implemented. The type safety results of Chapter 2 are extended to the new setting.
Objectives: Severe forms of acute and chronic graft-versus-host disease (GvHD) are life-threatening complications after adjusted to allogeneic hematopoietic bone marrow or peripheral blood stem cell transplantation (allo-HSCT) and are a major cause of non-relapse mortality. Little is known about the burden, needs, and resources of this specific patient group. This qualitative interview study aimed to explore the experiences of patients with severe forms of GvHD and their perception of palliative care (PC).
Methods: Semi-structured interviews were conducted among 13 participants at a tertiary university hospital and were evaluated by qualitative content analysis.
Results: The participants described a high psychological and physical symptomatic burden resulting in severely impaired physical function up to loss of independence, which all substantially limited their quality of life (QoL). Frequent long-term hospitalizations highly impacted their social life including the ability to work. A desire to die was frequently experienced, particularly when participants suffered from peaks of burden and uncertainty about the future. Dying was either feared or perceived as relief. Not all participants received PC and the term was sometimes associated with fear or remained unclear to them.
Significance of results: Patients with severe forms of GvHD described a multifactorial, high overall burden, and permanently impaired QoL, which needs special support. Next to depressive symptoms, the frequently reported desire to die has not yet been thoroughly studied and requires further research. The infrequent use of PC in this context implicates a need for structural improvement and education in the German healthcare system.
Reporting effect size index estimates with their confidence intervals (CIs) can be an excellent way to simultaneously communicate the strength and precision of the observed evidence. We recently proposed a robust effect size index (RESI) that is advantageous over common indices because it’s widely applicable to different types of data. Here, we use statistical theory and simulations to develop and evaluate RESI estimators and confidence/credible intervals that rely on different covariance estimators. Our results show (1) counter to intuition, the randomness of covariates reduces coverage for Chi-squared and F CIs; (2) when the variance of the estimators is estimated, the non-central Chi-squared and F CIs using the parametric and robust RESI estimators fail to cover the true effect size at the nominal level. Using the robust estimator along with the proposed nonparametric bootstrap or Bayesian (credible) intervals provides valid inference for the RESI, even when model assumptions may be violated. This work forms a unified effect size reporting procedure, such that effect sizes with confidence/credible intervals can be easily reported in an analysis of variance (ANOVA) table format.
Employment and relationship are crucial for social integration. However, individuals with major psychiatric disorders often face challenges in these domains.
Aims
We investigated employment and relationship status changes among patients across the affective and psychotic spectrum – in comparison with healthy controls, examining whether diagnostic groups or functional levels influence these transitions.
Method
The sample from the longitudinal multicentric PsyCourse Study comprised 1260 patients with affective and psychotic spectrum disorders and 441 controls (mean age ± s.d., 39.91 ± 12.65 years; 48.9% female). Multistate models (Markov) were used to analyse transitions in employment and relationship status, focusing on transition intensities. Analyses contained multiple multistate models adjusted for age, gender, job or partner, diagnostic group and Global Assessment of Functioning (GAF) in different combinations to analyse the impact of the covariates on the hazard ratio of changing employment or relationship status.
Results
The clinical group had a higher hazard ratio of losing partner (hazard ratio 1.46, P < 0.001) and job (hazard ratio 4.18, P < 0.001) than the control group (corrected for age/gender). Compared with controls, clinical groups had a higher hazard of losing partner (affective group, hazard ratio 2.69, P = 0.003; psychotic group, hazard ratio 3.06, P = 0.001) and job (affective group, hazard ratio 3.43, P < 0.001; psychotic group, hazard ratio 4.11, P < 0.001). Adjusting for GAF, the hazard ratio of losing partner and job decreased in both clinical groups compared with controls.
Conclusion
Patients face an increased hazard of job loss and relationship dissolution compared with healthy controls, and this is partially conditioned by the diagnosis and functional level. These findings underscore a high demand for destigmatisation and support for individuals in managing their functional limitations.