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In the last decades, research from cognitive science, clinical psychology, psychiatry, and social neuroscience has provided mounting evidence that several social cognitive abilities are impaired in people with schizophrenia and contribute to functional difficulties and poor clinical outcomes. Social dysfunction is a hallmark of the illness, and yet, social cognition is seldom assessed in clinical practice or targeted for treatment. In this article, 17 international experts, from three different continents and six countries with expertise in social cognition and social neuroscience in schizophrenia, convened several meetings to provide clinicians with a summary of the most recent international research on social cognition evaluation and treatment in schizophrenia, and to lay out primary recommendations and procedures that can be integrated into their practice. Given that many extant measures used to assess social cognition have been developed in North America or Western Europe, this article is also a call for researchers and clinicians to validate instruments internationally and we provide preliminary guidance for the adaptation and use of social cognitive measures in clinical and research evaluations internationally. This effort will assist promoting scientific rigor, enhanced clinical practice, and will help propel international scientific research and collaboration and patient care.
Innovative pricing and payment schemes have been proposed to address the affordability issues raised by new health technologies or the uncertainty about their long-term safety and effectiveness. As part of the Horizon Europe project HI-PRIX, we investigated the nature, scope, and impact of these arrangements.
Methods
We undertook a PRISMA-ScR-compliant review in PubMed, Web of Science, and Scopus, from 2010 to 2023. We also searched health technology assessment (HTA) agency websites. The search strategy was structured around two blocks: “pricing/payment schemes,” and “innovativeness.” Studies illustrating pricing/payment schemes with sufficient level of details to explain their functioning were selected, also through a nested evaluation of an artificial-intelligence-powered tool for systematic reviews. These schemes were classified according to several criteria, such as their purpose, nature, governance, product category, data collection needs, foreseen distribution of risk, and implementation challenges. The study protocol was published in PROSPERO (CRD42023444824).
Results
“Innovative payment and pricing schemes” were defined as arrangements that go beyond price per unit of the technology, simple price/volume agreements, or expenditure caps. Seventy innovative schemes were identified, of which 25 were only illustrated theoretically, while 45 have been implemented in practice. So far, 170 real cases of implementation have been identified. The schemes target pharmaceuticals, vaccines, and/or medical devices. Whether designed to incorporate unique features of a given technology, or to address specific challenges, the schemes can be classified by different value drivers, including type of technology, therapeutic indication, or timeline of the agreement.
Conclusions
Available pricing and payment schemes have the potential to offer a comprehensive toolkit to policymakers facing reimbursement and access decisions, highlighting that it is not the scheme per se that is innovative, rather its application/use in a given context or for a given challenge. The catalog populates the Pay for Innovation Observatory, a publicly available repository.
Health visiting in England is a universal service that aims to promote the healthy development of children aged under five years and safeguard their welfare. We consulted stakeholders about their priorities for research into health visiting and also used these consultations and a literature review to generate a logic model. Parents wanted research to explore how health visiting teams can provide a caring, responsive, accessible service (the mechanisms of change). Policymakers, commissioners, and clinical service leads wanted descriptions and evaluations of currently implemented and ‘gold standard’ health visiting. The challenges to evaluating health visiting (data quality, defining the intervention, measuring appropriate outcomes, and estimating causal effects) mean that quasi-experimental studies that rely on administrative data will likely underestimate impact or even fail to detect impact where it exists. Prospective and experimental studies are needed to understand how health visiting influences infant–parent attachments, breastfeeding, childhood accidents, family nutrition, school readiness, and mental health and well-being.
New advancements in radio data post-processing are underway within the Square Kilometre Array (SKA) precursor community, aiming to facilitate the extraction of scientific results from survey images through a semi-automated approach. Several of these developments leverage deep learning methodologies for diverse tasks, including source detection, object or morphology classification, and anomaly detection. Despite substantial progress, the full potential of these methods often remains untapped due to challenges associated with training large supervised models, particularly in the presence of small and class-unbalanced labelled datasets.
Self-supervised learning has recently established itself as a powerful methodology to deal with some of the aforementioned challenges, by directly learning a lower-dimensional representation from large samples of unlabelled data. The resulting model and data representation can then be used for data inspection and various downstream tasks if a small subset of labelled data is available.
In this work, we explored contrastive learning methods to learn suitable radio data representations by training the SimCLR model on large collections of unlabelled radio images taken from the ASKAP EMU and SARAO MeerKAT GPS surveys. The resulting models were fine-tuned over smaller labelled datasets, including annotated images from various radio surveys, and evaluated on radio source detection and classification tasks. Additionally, we employed the trained self-supervised models to extract features from radio images, which were used in an unsupervised search for objects with peculiar morphology in the ASKAP EMU pilot survey data. For all considered downstream tasks, we reported the model performance metrics and discussed the benefits brought by self-supervised pre-training, paving the way for building radio foundational models in the SKA era.
To evaluate the importance of oxides to the surface chemistry of acid mineral soils, clay fractions were separated from a surface and subsurface horizon of an Inceptisol representative of many of the acid soils of the Southern Tier of New York state. Portions of the clays were treated to remove selectively noncrystalline and microcrystalline Fe and A1 oxides (acid ammonium oxalate extraction), total free iron oxides (dithionite reduction in buffered citrate solution), and organic matter (hypochlorite oxidation). Charge and ion-adsorption characteristics of the treated and untreated clays were investigated by means of Ca2+- and Cl−-exchange capacities, potentiometric titrations, and electrophoretic mobility (zeta potential) measurements of the CaCl2-treated clays.
Based upon surface area and anion- and cation-exchange measurements, the Fe and A1 oxides or oxideorganic matter complexes were found to contribute a large part of the surface area and pH-dependent charge of these clays. Oxide removal increased the cation-exchange capacity (CEC) and virtually eliminated the anion-exchange capacity (AEC) at pH 3 and 5.5 while shifting the positive zeta potential (ZPC) of the B-horizon clay toward negative values. Organic matter oxidation increased the AEC at pH 3 and the CEC at pH 5.5 and markedly shifted the ZPCs of both A- and B-horizon clays toward more positive values, probably by the removal of adsorbed organics from oxide surfaces. Estimates of the ZPCs of the clays varied among the three methods used, Ca2+- and Cl−-exchange capacities giving the lowest, and electrophoresis giving the highest values.
Generation of science-ready data from processed data products is one of the major challenges in next-generation radio continuum surveys with the Square Kilometre Array (SKA) and its precursors, due to the expected data volume and the need to achieve a high degree of automated processing. Source extraction, characterization, and classification are the major stages involved in this process. In this work we focus on the classification of compact radio sources in the Galactic plane using both radio and infrared images as inputs. To this aim, we produced a curated dataset of $\sim$20 000 images of compact sources of different astronomical classes, obtained from past radio and infrared surveys, and novel radio data from pilot surveys carried out with the Australian SKA Pathfinder. Radio spectral index information was also obtained for a subset of the data. We then trained two different classifiers on the produced dataset. The first model uses gradient-boosted decision trees and is trained on a set of pre-computed features derived from the data, which include radio-infrared colour indices and the radio spectral index. The second model is trained directly on multi-channel images, employing convolutional neural networks. Using a completely supervised procedure, we obtained a high classification accuracy (F1-score > 90%) for separating Galactic objects from the extragalactic background. Individual class discrimination performances, ranging from 60% to 75%, increased by 10% when adding far-infrared and spectral index information, with extragalactic objects, PNe and Hii regions identified with higher accuracies. The implemented tools and trained models were publicly released and made available to the radioastronomical community for future application on new radio data.
Deficit in Theory of Mind (ToM) is a core feature of schizophrenia (SZ), while adverse childhood experiences (ACEs) can contribute to worsen ToM abilities through their effect on brain functioning, structure and connectivity.
Objectives
Here, we investigated the effects of ACEs on brain functional connectivity (FC) during an affective and cognitive ToM task (AToM, CToM) in healthy control (HC) and SZ, and whether FC can predict the performance at the ToM task and patients’ symptoms severity.
Methods
The sample included 26 HC and 33 SZ. In an fMRI session, participants performed a ToM task targeting affective and cognitive domains. Whole-brain FC patterns of local correlation (LC) and multivariate pattern analysis (MVPA) were extracted. The significant MVPA clusters were used as seeds in further seed-based connectivity analyses. Second-level analyses were modelled to investigate the interaction between ACEs, the diagnosis, and the task, corrected for age, sex, and equivalent doses of chlorpromazine (p<0.05 FWE). FC values significantly affected by ACEs (Risky Family Questionnaire) were entered in a cross-validated LASSO regression predicting symptoms severity (Positive and Negative Syndrome Scale, PANSS) and task performance measures (accuracy and response time).
Results
In AToM, LC showed significant different effects of ACE between HC and SZ in frontal pole, caudate and cerebellum. MVPA showed significant widespread interaction in cortico-limbic regions, including prefrontal cortex, precuneus, insula, parahippocampus, cingulate cortex, temporal pole, thalamus, and cerebellum in AToM and CToM. SBC analyses found significant target regions in the frontal pole, cerebellum, pre and postcentral gyrus, precuneus, lateral occipital cortex, angular gyrus, and paracingulate gyrus. LASSO regression predicted PANSS score (R2=0.49) and AToM response latency time (R2=0.37).
Conclusions
Our findings highlighted a widespread different effect of ACEs on brain FC in ToM networks in HC and SZ. Notably, the FC in these regions is predictive of behavioral ToM performance and clinical outcomes.
The relationship between landscape and place names is very strong. In ancient times, places were named after natural resources and the landscape’s hydro-geo-morphological features. This trend persists today in some contexts. For instance, Abui place names on Alor Island are named after important landscape features, agricultural and horticultural crops, and useful plants. Abui toponyms are compounded with lexemes describing human settlements and highlighting the close relationship between nature and man. This chapters shows how the analysis of the landscape and related disciplines, like landscape archaeology (the study of the past use of the landscape determined by archaeological findings), enable scholars to reconstruct the remote origins of toponyms both in Indo-European and non-Indo-European contexts. While landscape is often considered in association with the physical features of a territory, the authors call for a holistic view of the landscape itself, which blends physical, social, cultural, environmental, and religious dimensions. To this end, toponyms are useful tools providing the researchers with insights into how people use or used the landscape.
In this chapter, the authors explore the sociopolitical and cultural issues surrounding the uses of place names in society. Place names are social constructs that show people’s attachment to the land they live in; they help communities to navigate and orientate, pass down oral traditions, and demonstrate the changes to the landscape. Such functions of place names are more keenly felt by Indigenous communities, who share a close connection with place names, their lands, and cultural heritage. Given that toponyms have symbolic, cultural, and historical significance, they are unsurprisingly used by groups to assert control – be it a more powerful linguistic group subduing minority groups and their languages, or, in settler colonies, the colonial powers using place names to show power differentials between the coloniser and the colonised. However, natives also exercise agency, as they seek to rename and decolonise colonial names, although they are not always successful. This chapter relates to the cultural politics of naming, i.e., how people seek to control, negotiate, and contest the naming process as they engage in wider struggles for legitimacy and visibility. The chapter also deals with a gamma of different toponymic changes and with the notion of ‘toponymic nickname’, providing a comprehensive list of examples from around the world.
Historical toponomastics is the discipline that deals with the reconstruction of the roots of toponyms in the context of well-known languages/language families (e.g., Indo-European) and in the presence of available historical records. The analysis of the etymology and morphology of a place name occurs not just at the linguistic level, but also incorporates the assessment of the territory’s geology and hydro-geo-morphology. This chapter presents a step-by-step guide in historical toponomastics that involves both linguistic and extra-linguistic analyses. The authors apply this to two toponyms from the Indo-European language family, Sessame and Squaneto, both located in Piedmont, northwest Italy. This chapter also discusses the notion of ‘folk etymology’ and ‘toponymic paretymology’, often observed in the stories told by local speakers trying to explain the origins and meanings of their toponyms. These ‘explanations’ may not always be accurate. These, indeed, originate from the linguistic misinterpretations of place names, when the original morphology and/or meaning of toponyms are lost over time. This chapter explores two types of toponymic paretymologies – ‘bona fide paretymology’ and ‘scholarly paretymology’, with examples from both Indo-European and non-Indo-European contexts. The chapter also presents an in-depth discussion of contact etymology.
This chapter explores the notion of diachronic toponymy, which is the discipline that deals with the reconstruction of a place name in the context of undocumented languages/language families and in the absence of historical records. In many communities that do not have a writing system, oral stories and traditions become important sources of toponymic data, as place names are passed down orally, from one generation to another. Additionally, oral stories also commemorate the land and its namers, and are an ‘oral record’ of the physical territory and the changes made to it by human inhabitation. The chapter presents a step-by-step guide for studying place names according to a diachronic toponymy approach – one that also incorporates methods from anthropological linguistics, language documentation, and field linguistics. This is applied to a toponymic system in the Abui community on Alor Island, southeast Indonesia. The authors also demonstrate how historical semantics can complement the toponymic analysis by applying its criteria to a toponymic system which includes several Abui toponyms that show a semantic specialisation of the Abui term for ‘village’.
The aim of a toponymist is to reconstruct and analyse the most original or ancient possible root of a toponym. This requires the linguist to go back to prehistoric times. Yet, at a certain point, scholars will run out of historical sources that can be analysed. They can then postulate the existence of pre-languages that predate proto-languages (since toponymic roots belong to proto-languages). Both types of prehistoric languages are unattested, but a proto-language can be reconstructed by using historical-linguistic methods, while a pre-language cannot. This chapter focusses on the most well-researched language family in the world, Indo-European, and surveys a number of theories on the origins of the speakers of Proto-Indo-European and their relations to Pre-Indo-European civilisations. Toponyms are often ‘linguistic relics’ and, at times, can provide useful insights into pre- and proto-languages spoken in prehistoric times and the dynamics between ancient groups of speakers. This is discussed through the analyses of two case studies, and shows that a root may be reused and refunctionalised in a new proto-language and acquire new meanings and uses.
This chapter introduces the readers to the relationship between toponymy and cartography. Although given for granted, place names are an essential component of a map. Toponyms serve important cartographic/topographic functions, such as helping users to search for and to locate places on a map. They also have an affective role; the act of seeing place names on a map evokes an emotional input that (re)connects a person with a place. Both toponyms and maps have the ideological function of possession and control of territories. This is especially true in colonial contexts. The chapter makes a note that maps are not a modern invention; they have been produced since ancient times and, hence, are useful in studying the denominations of old place names and the geopolitical realities of the past. In the final part of this chapter, the authors turn their attention to phantom place names, i.e., places that have been believed to be real and, although charted on maps, turned out to be non-existent. They are part of a broader set of legendary and literary place names that evoke what is called the ‘feeling of place’ and reveal much of the human nature (e.g., the love for exploration and the desire for beauty/earthly pleasures).
Languages are constantly changing. The reasons for the changes can be both internal (i.e., when monolingual speakers adopt new ways of saying things according to social factors like age, gender, and class) and external (e.g., language contact). Although toponyms are ‘linguistic fossils’ that tend to retain older linguistic features and can withstand violent population shifts more so than the general lexicon, they are also affected by the process of language change. This is explored through several examples from around the world. It is only through analysing language change – with an approach that incorporates historical-linguistic methodologies like the comparative method and dialectological interpretations – that a toponymist can reconstruct the original (and most remote) toponymic root of a place name. The latter half of the chapter demonstrates how toponyms can be used to ‘crack’ hitherto undeciphered languages, the most notable being Linear B (a syllabic writing system transcribing Mycenaean Greek, an archaic form of Ancient Greek). The authors also apply an experimental methodology, using toponyms, to provide a possible interpretation of place names possibly transcribed through Linear A (the grammatological ancestor of the Linear B writing system).