The objective of CHAOCLRSC is to fill a significant gap in the history of Oceanic languages by providing a comparative-historical analysis of the clausal structure in the Reefs-Santa Cruz (RSC) languages spoken on the Reef Islands and Santa Cruz (SC). Despite being classified as Oceanic, RSC show unexpected features, including unusual patterns of clausal structure. In particular, Äiwoo displays a symmetrical voice system, a type of clausal structure which is highly unusual in the Oceanic family. In this respect, Äiwoo differs significantly from the other RSC languages, in that, like most Oceanic languages, they display transitivity-based systems. The presence of a symmetrical voice system in Äiwoo is of interest for the history of the Oceanic subgroup, since voice systems are thought to have been lost in the transition from Proto-Malayo-Polynesian (PMP) to Proto-Oceanic (POc). Recent studies on Äiwoo and SC systems have shown that the two systems are unusual in two different ways. Äiwoo can be seen as ‘transitional’ because it retains a symmetrical voice system with Oceanic morphology, whereas SC languages retain some voice-like characteristics in otherwise largely transitivitybased systems. Historically, the change from PMP to Äiwoo represents one stage of development from symmetrical voice to the Oceanic transitivity-based system, while the differences between Äiwoo and SC may represent a further stage. This makes comparative-historical work on SC clause structures an urgent priority. More broadly, understanding how the shift from a symmetrical voice system to a transitivity-based has happened in RSC will contribute to our understanding of the general principles governing both individual systems and, more generally, the change from one clausal system to the other

Our main objective is to identify determinants of brain, cognitive and mental health at different stages of life. By integration, harmonisation and enrichment of major European neuroimaging studies of age differences and changes, we will obtain an unparalleled database of fine-grained brain, cognitive and mental health measures of more than 6.000 individuals. Longitudinal brain imaging, genetic and health data are available for a major part, as well as cognitive/mental health measures for extensively broader cohorts, exceeding 40.000 examinations in total. By linking these data, also to additional databases and biobanks, including birth registries, national and regional archives, and by enriching them with new online data collection and novel measures, we will address risk and protective factors of brain, cognitive and mental health throughout the lifespan. We will identify the pathways through which risk and protective factors work and their moderators. Through exploitation of, and synergies with, existing European infrastructures and initiatives, this approach of integrating, harmonising and enriching brain imaging datasets will make major conceptual, methodological and analytical contributions towards large integrative cohorts and their efficient exploitation. We will thus provide novel information on brain, cognitive and mental health maintenance, onset and course of brain, cognitive and mental disorders, and lay a foundation for earlier diagnosis of brain disorders, aberrant development and decline of brain, cognitive and mental health, as well as future preventive and therapeutic strategies. Working with stakeholders and health authorities, the project will provide the evidence base for policy strategies for prevention and intervention, improving clinical practice and public health policy for brain, cognitive and mental health. This project is realized by a close collaboration of small and medium-sized enterprise (SME) and major European brain research centres

The project aims to develop resilient- and secure-by-design solutions for the real-time monitoring and control of networked control and cyber-physical systems in the framework of critical infrastructures monitoring. To realize this goal, the project aims to train several PhD students in the fields of cyber-security, control theory, and autonomous systems to shape future resilient- and secure-by-design cyber-physical systems (CPS). The PhD topics will investigate open research questions about the use of systems and control theory to build secure and resilient CPS. The project will also promote industrial excellence by offering opportunities to the researchers for testing their tools and frameworks in real-world scenarios, provided by the industrial partners. In this line, industrial partners will provide scenarios focusing on water, energy and transportation services, inspired by a real deployment using state-of-the-art and innovative IoT components. The research outcomes that will be validated in the context of this use cases will be reusable to other smart energy or smart cities scenarios.

Recent advances in clinical genetic studies of epilepsies have identified a steadily growing number of mutations in new candidate genes, creating a need for an effective approach to rapidly provide functional data as to their in vivo function. Furthermore, there is an urgent need to create new, cost- and time-effective animal models which successfully mimic genetic epilepsies in humans, as well as efficient drug discovery approaches to identify compounds useful in the management of these diseases. Here, using established genetic methods, loss- and gain-of-function zebrafish epilepsy models for gene variants recently identified to cause severe, drug-resistant epileptic encephalopathies (EE) will be created. Using a multidisciplinary "deep-phenotyping" strategy of pharmacological profiling (i.e. assessment of antiepileptic drugs (AEDs) with known mechanisms of action), high-throughput analysis of locomotor activity and seizure-like behavior, electroencephalographic recordings, histopathological analysis of zebrafish mutant brains, single-cell RNA expression profiling and high-resolution (SPIM) Ca2+ imaging analysis of brain activity, these models will be fully characterized and validated. Finally, a large-scale screen using a library of synthetic small molecules, drug-like natural products and FDA-approved drugs to identify compounds with antiepileptic activity will be performed in one of these models. The main objective of this project is to create and validate new zebrafish models of epilepsy, which will provide both new insights into the mechanisms of epileptogenesis in vivo and indicate potentially novel entry routes for therapeutic intervention.