Dragon09/odtu_chatbot huggingface dataset:
imagination in the experience of installation art

several works by ernesto neto present huge warmcolored pleasantly smelling lycra tunnels they are cases of installation art ia the public is supposed to enter the tunnels and interact with the physical environment experiencing the works from within works of ia resemble buildings because they envelop the public but they differ in that as with paintings and sculptures they do not have a sheltering function this raises a philosophical question what states of mind are distinctive of our engagement with ia the goal of this project is to develop the first fullfledged philosophical account of our engagement with ia arguing that typically the imagination plays a crucial role in it by pursuing 5 research and innovation objectives 1 showing that ia prompts imaginings of a specific kind 2 arguing that ia can be defined in terms of its imaginingarousing function 3 arguing against the prevalent view that ia doesnt have a representational or fictional dimension 4 investigating the link between the imaginings aroused by ia on the one hand and abstract painting on the other hand 5 integrating the proposal within a broader account of fiction the projects goal is relevant to aestheticians and art theorists because ia dominates contemporary art and to art practitioners and public because it can help improve the design exhibition and communication of ia i elisa caldarola philosophy phd will carry out the proposed research through investigations in the philosophy of fiction and of art in art theory in depiction theory and the philosophy of mind working at the graduate center city university of new york philosophy program under the supervision of prof jonathan gilmore and at the department of philosophy and education sciences university of turin under the supervision of prof alberto voltolini i shall publish 5 papers in toplevel journals present my work at 8 conferences and at outreach events
acorai heart monitor noninvasive multisensor device for heart failure monitoring

heart failure is a progressive clinical syndrome with multiple etiologies it is associated with nearly three million hospitalizations in the eu annually representing 30 of all readmissions and accounts for up to 5 of the entire healthcare expenditure despite modern medical treatment hf is a lifethreatening and debilitating condition with a poor prognosis the acorai heart monitor ahm is a monitoring device designed to detect and estimate hemodynamic parameters noninvasively ahm is a handheld electronic device that features multiple sensors to collect data from 4 sensor types based upon patented the save sensor system to estimate the absolute pressure of the heart failure patients cardiac system the sensor data are processed within the medical device with machine learning ml methods the results are then displayed to be read by a qualified healthcare professional hcpdelivering intracardiac pressure to hcps to guide the treatment of patients with hf leads to improved quality of life it lowers the frequency of hospital admissions yet all current tools require an invasive procedure ahm is a multipatient noninvasive device that would dramatically disrupt the paradigm of hf treatment and lead to significant cost saving in the eu whilst improving the overall prognosis of patients who suffers from hf with the growing prevalence of hf globally the ahm is a tool with applicability in multiple workflows and represents a firstofitskind device to revolutionise hf managementahm has already been validated in 300 patients in a swedish proof of concept study and now needs the support to bring this device to market and collect data via a large multinational study to prove its effectiveness the ahm is fully patent protected with three granted patent families and four patents pending covering the core components of the device and its clinical application this is additionally protected by large proprietary datasets and a unique ml model
probing the malignant potential of mutant clones in healthy mammary tissue by successive mutagenesis

mutant cells are abundant in normal tissues but only very few will transform into lifethreatening cancer the triggers for these mutant clones to transform are unclear phylogenetic studies of solid cancers hinted towards an impact of the order of mutation acquisition on the malignant potential of mutant clones however to date no functional studies exist validating these findings in the in vivo contextmutant clones closely interact with their environment intravital microscopy experiments from my lab showed that phenotypically normal but mutant clones in the mammary epithelium the tissue of origin of breast cancer dynamically rewire their environment in a mutationspecific manner hence i hypothesize that the transforming potential of a mutant clone does not lie in the combination of mutations but rather in the order in which these mutations were acquired and thus the way in which the environment of the mutant clone was sequentially rewired leading to a permissive or a resistant environment for tumour initiation tools to study sequential acquisition of mutations in vivo do not exist therefore the possibility that one mutation may need to precede the other for a mutant clone to transform has not been studied succession will fill this gap and develop a novel sequential somatic gene editing technology this will be combined with intravital imaging and transcriptional profiling to study for the first time the effects of different sequences of mutations on cell behaviour and sequential rewiring of the microenvironment in the mammary gland succession will have a ground breaking impact from a technical point of view as it will establish a novel way of modelling precancer in vivo and from a biological point of view as it will elucidate the temporal evolution of precancer in unprecedented detail this will lead to better understanding of tumour initiation and improve risk prediction enabling early interventions to stop the cancer before it starts
experimental evolution in a trifactorial system

parasitic nematode infections are a major threat to human animal and plant health infection prevention or control depends heavily on chemical treatment but resistance is becoming widespread and the compounds used pollute surface and groundwater to develop new mitigation strategies it is important to understand hostparasite interactions and fundamental mechanisms of parasitism but parasites of vertebrates are difficult to study entomopathogenic nematodes epns and their hosts offer great potential in this context epns are microscopic nematodes that prey on larval stages of many insects and naturally help regulate insect populations epns are commercially available to target a range of soildwelling plant pests but efficiency depends on the environment and the targeted pest epns have also been used to study immunological responses of insect hosts in these studies a fraction of the hosts survives the infection the aim of research proposed here is to select the surviving hosts and establish a model system of the epnhost complex to study hostparasite interactions through experimental evolution of parasitism traits including life span and stress responses as well as genomic and transcription changes of the host and the epn will be studied the downstream application of this model is the optimization of biocontrol agents of plant and animal pathogens by selecting epns that are resistant to environmental stressors like heat desiccation and uv radiation and that prey on new host species the proposed research uses the epn heterorhabditis bacteriophora its symbiont photorhabdus luminescens and the host drosophila melanogaster the expertise of the supervisor in drosophila and evolutionary research combined with the experienced researchers er empirical and computational skills provides a perfect match for the proposed project additionally the project will integrate the ers multidisciplinary skillset for a future career as an independent academic
unlocking serial aluminium additive manufacturing with molten metal deposition technology

highstrength lightweight and conductivity are properties that set aluminum apart as the 2nd widely used metal in the world mechanical manufacturing techniques like cnc milling or die casting are industry standards for mass production of industrial parts however when it comes to additive manufacturing am to increase the complexity of the parts there is no existing am technology for serial runs or ondemandspare parts at competitive speeds and costs valcun fills the gap for complex aluminum parts to deliver the most economical fastest and energyefficient am technology ready for serial productionmolten metal deposition mmd is our unique singlestep metal additive manufacturing technology with initial focus on aluminum unlike powder and laserbased am techniques ded lpbf fdmmim we produce parts directly with liquid metal from aluminum wire feedstock as a paradigmshift in metal am to reduce production costs by 75 while being 10x faster and allowing high degree of automation for 110k serial batch production with minimal postprocessing
the generations and gender programme preparatory phase project

the generations and gender programme ggp is an interdisciplinary research infrastructure on population and family dynamics it collects processes and disseminates crossnationally comparable longitudinal data on young adults families generational exchanges and the life courses of women and men it is the only ri focused on answering the key scientific and societal challenges related to the causes consequences of demographic changes the main objective of the ggp5d project is to enhance the longterm sustainability of the ri research infrastructure with a view towards establishing it as a permanent one with its own legal entity to achieve this the ggp5d project will work on enhancing five dimensions 1 technical excellence 2 scientific and socioeconomic impact and engagement 3 financial sustainability 4 legal frameworks and 5 positioning in the landscape of ris together these five dimensions are expected to contribute to the excellence and attractiveness of the european research area in the field of population studies to provide a solid ground for investment in the ggp and to result in a wellfunctioning ecosystem of social sciences ris
miracle the platform for virtual biopsies introducing metabolic mriasaservice for oncologic care

imagine a future where the limitless possibilities of virtual biopsies in cancer diagnostics can be explored a future in which cancer patients would have access to mri enabled virtual biopsies in order to receive the best possible treatment decisions anywhere on the globe miracle is developing a firstofkind addon device for mri scanners that will be used to acquire a virtual biopsy of the tumor providing not only structural information on tumor dimensions for tissue conserving surgery but also unique metabolic information on the efficacy of specific systemic therapies ultimately this fully noninvasive accurate and rapid predictive approach can guide patients to the best fitting treatment plan given their personal circumstances and tumor characteristics wavetronica wt together with the university medical centre utrecht umcu german cancer research centre dkfz and medical university of lublin umlub aim to build this future by bringing the first metabolic mriasaservice solution to the market past projects and research led to the development of a proofofconcept mri coil capable of detecting metabolic biomarkers noninvasively using the strongest clinically available mri system as demonstrated in fet open0120162017801075 the noninvasivechemistryimaging nici and fetopen03201820192020 fet innovation launchpad miracle the mri coil is a plugandplay add on for existing mri machines resulting in an accessible and affordable virtual biopsy tool that can identify cancer biomarkers and tumor activity without shedding a drop of patient blood this project converts a complex research tool into an accessible diagnostic service metabolic mriasaservice miracle is supported by the dutch reimbursement company vgz tesla dc and oncologists showing there is a strong market demand now the challenge lies in bringing the breast coil poc hardware and software to the next level using breast cancer as a use case
cognitive and neural computations of semantics

in our everyday lives we rely on existing relations among elements in our environment ie semantic information to interact efficiently with the world this information can either be used to facilitate understanding by exploiting redundant congruent evidence or to signal out salient stimuli by highlighting unexpected incongruent elements this duality raises fundamental questions about how and when our brains utilize stored semantic knowledge as its influence seems to vary depending on the specific cognitive domain this seemingly paradoxical state represents a cognitive puzzle that questions whether the presence of incongruent contextual information in a given situation has a positive or negative impact on how we perceive process and remember informationconnects seeks to address the paradoxical effects of semantic congruity across various cognitive domains by providing a unified framework the proposed framework builds on the transfer appropriate processing principle and brings it to a neural representational level by examining the transformations of neural representations it is possible to quantify the degree of overlap in cognitive computations as a measure of appropriate transfer thus connects dissolves the paradox by proposing that performance would be optimal when the required cognitive computation is oriented towards the same stimulus properties emphasized by the semantic incongruity of the stimulus this proposal not only reconciles conflicting evidence on specific domains but also provides a domainagnostic framing of the conundrum that ensures its integrative aimconnects combines a solid theoretical foundation with cuttingedge neuroscientific techniques the projects multimethod approach including behavioural neural fmri and eeg and computational data from artificial neural networks this approach offers a comprehensive exploration of the phenomenon which is a core requirement for a unifying framework
discovering lightinduced phases by firstprinciples material design

ultrafast lasers sources open new perspectives in exploring broken symmetry phases as it becomes possible to promote a substantial number of electrons in excited states generating a thermalized electronhole plasma and leading to reversible or irreversible phase transitions lightinduced charge density waves orderdisorder transitions melting stabilization of topological phases and lasertunable ferroelectricity have been demonstrated experiments are far ahead of theory as few if any of the demonstrated lightinduced phenomena have been predicted by theory delight aims to develop a theoretical strategy to predict and discover photoinduced phases in materials to accomplish this goal we will develop quantumchemical and molecular dynamics schemes including the effect of the thermalized electronhole plasma on the crystal potential and accounting for lightinduced nonperturbative quantum anharmonicitydelight will answer these questions which systems undergo light induced phase transitions can we use light pulses to enhance or tune charge density wave ferroelectric and magnetic critical temperatures to generate new topological phases or to optimize the properties of thermoelectric materials can we develop an inverse design strategy namely given a target property determine which material will have to be photoexcited and at which fluence to obtain it the proposal will impact chemistry physics energy and material engineering it could lead for example to the development of devices with dynamical light switching onoff of magnetism or ferroelectricity relevant for ultrafast memories or to the stabilization of new thermoelectric compounds with phototunable thermal conductivity and figure of merit delight will foster these and similar developments by implementing a fundamentally new and unique database of outofequilibrium accessible states of matter that will be a reference for future experiments
unfolding the dynamic interplay of mechanical and molecular processes in brain folding

mammals with large brains and higher cognitive functions have a richly folded cerebral cortex folding abnormalities are linked to various cognitive disabilities despite its relevance in clinical diagnostics the causes and consequences of cortex folding remain poorly understood while cortex folding was long assumed to result from a limited skull volume it is a developmental process intrinsic to the cortex we hypothesize that cortex folding emerges from a dynamic interplay between mechanical and molecular processes and that far from being an epiphenomenon it has major consequences for brain architecture and function unfold will test this hypothesis by integrating genomics cell biology mechanics of brain development and computational modeling our interdisciplinary team will apply in vitro in vivo and in silico approaches to brain tissue of strategically selected animal models first we will map molecular cellular and mechanical events accompanying cortex folding next we will investigate the effects of genetic perturbations of cell biological processes on tissue mechanics and vice versa to identify key mechanisms leading to cortex folding and elucidate their dynamic interactions then we will test the universality of these mechanisms by inducing folds in species with a smooth brain finally we will decipher the consequences of cortex folding on neural circuit function and animal behavior our project integrates current opposing concepts of cortex folding by adopting an interdisciplinary and multiscale perspective unraveling the dynamic interactions between molecular cellular and mechanical events during development will provide unprecedented insights into the determinants of cortical anatomy and brain organization our work bridging physical and life sciences will lead to new insights into normal and pathological brain development paving the way to a new research area of integrated neurobiology with potential applications in modern medicine
finding all integrable models

symmetry plays an important role in our current understanding of nature for instance in the development of the standard model of particle physics the understanding of the gauge group of symmetries was crucial there is a class of models called integrable systems which have so many symmetries that they are exactly solvable such models have the exciting possibility to be understood in all aspects and thus give valuable insights into physical phenomena in this way integrable models offer a unique approach to tackling open problems in physics such as for instance describing strongly coupled systemsthe aim of this proposal is to develop a new method to find and classify new integrable systems our approach is based on a new framework which was very recently put forward by the pi and his group this new approach was applied to models that are closely related to regular integrable systems from string theory quantum field theory and condensed matter physics several new models were discovered in this way but their physical and mathematical properties still remain to be understood faim will be particularly focussed on models that have longrange interactions these models are crucial in understanding strong coupling behaviour in for instance integrable models that appear in the adscft correspondence understanding longrange interactions is paramount to the computation of correlation functions in these models longrange interactions are also important for quantum systems in condensed matter such as cellular automatonsmore generally integrable structures appear in basically all areas of physics for this reason finding new integrable models and classifying them will have a large multidisciplinary impact with exciting applications ranging from condensed matter to string theory this will potentially help us understand physical phenomena in various different fields
enabling the direct synthesis of multifunctionalized iodoarenes as accessible sophisticated building blocks for sustainable catalytic sequences

in the last 20 years palladiumcatalyzed ch activation has emerged as a useful alternative to traditional crosscoupling methods and a powerful tool to access valuable intermediates for the synthesis of complex functional molecules the biaryl fragment is one of the most frequent units present in bioactive molecules functional organic materials and natural products despite major advances significant limitations persist with regard to their preparation in term of reactivity selectivity and sustainability based on the recent achievements in the synthesis of orthoiodobiaryls following a catellani strategy the overall objective of this proposal is the development of a general and sustainable method for the direct synthesis of orthoiodobiaryls and selectively substituted haloarenes as valuable intermediates for the synthesis of a large number of high valueadded compounds the project aims also to develop protocols for the straightforward synthesis of new biarylcontaining phosphines as a valuable application of this methodology cat4arene will allow the selective construction of halogenated biaryls and arenes which can be further easily converted into a broad variety of high valueadded compounds in particular thanks to the easily manipulation of the chalogen bond especially ci and cbr bonds these new methodologies will unlock the direct construction of tricky molecular architectures including biarylcontaining phosphines and bioactive nitrogen derivatives likewise new classes of organic molecules would be also accessed unlocking the opportunity to enlarge the range of compounds available for the medicinal chemistry and the agrochemical industry the development of unconventional haloarenes formation protocols will be an outstanding breakthrough for the organic chemistry community
humanrobot collaborative construction system for shotcrete digitization and automation through advanced perception cognition mobility and additive manufacturing skills

robetarme will deliver a humanrobot collaborative construction system for the automation of shotcrete ie concrete spray casting which is an emerging technology in construction domain a multitasking inspectionreconnaissance mobile manipulatorirr rob will fuse the latest geotechnical models bimcim dtt highdensity visual data and semantic slam certh representations to automate modelling and fast reconstruction dtu of the surface to be shotcreted irr will facilitate rebar reinforcement through metal additive manufacturing anima capitalizing on its precise repair skills epfl the shotcrete and finishing mobile manipulator sfr cobod will apply dexterous concrete placement through closedloop visual guidance methods suitable for turbid conditions kul concrete mixdesign and study on innovative reinforced cementitious materials titan will contribute to the reduction of materials and water waste during shotcrete the sfr robot equipped with universal tool changing rob will also automate the surface finishing step through delicate and humanlike robot manipulations enabled from a safety operation toolkit that includes physical humanrobot collaboration and humanaware navigation certh a digital twin dtt coupled with simulation tools sdu advanced decision making ice and task planning certh skills will facilitate fast and greener shotcrete automation robetarme will be evaluated ds4 on four diverse construction sites ie tunnelsculverts bycn bridges posttensioned boxes arup beams piles of buildings ceas and ground support walls bycn assessing its autonomous shotcreting abilities robetarme will substantially increase the repairmaintenance automation will foster adoption of robots in construction 40 era eff while it will increase construction productivity providing flexibility to the maintenance personnel contribution to standards uni and better quality to their workplaces more