Dragon09/odtu_chatbot huggingface dataset:
stratification management and guidance of hypertrophic cardiomyopathy patients using hybrid digital twin solutions

hypertrophic cardiomyopathy hcm is the most common inherited heart disease prevalence 1200 1500 manifested by thickening of cardiac walls increasing risks of arrhythmia and sudden cardiac death hcm affects all ages it is the leading cause of death among young athletes comorbidities due to gene mutations include altered vascular control and caused by hcm ischemia stroke dementia or psychological and social difficulties multiple causal mutations and variations in cellular processes lead to highly diverse phenotypes and disease progression however hcm is still diagnosed as one single disease leading to suboptimal care smashhcm will develop a digitaltwin platform to dramatically improve hcm stratification and disease management both for clinicians and patients multilevel and multiorgan dynamic biophysical and datadriven models are integrated in a threelevel deep phenotyping approach designed for fast uptake into the clinical workflow smashhcm unites 8 research partners 3 hospitals 3 smes and a global healthtechnology corporation in collaboration with patients to advance the state of the art in human digitaltwins including invitro tools insilico from molecular to systemic level models structured and unstructured data analysis explainable artificial intelligence all integrated into a decision support solution for both healthcare professionals and patients smashhcm delivers new insights into hcm improved patient care and guidance validated preclinical tools and above all a first hcm stratification and management strategy validated in a pilot clinical trial and tested with end users thus providing a cost efficient and effective solution for this complex disease smashhcm develops a strategy towards fast regulatory approval in reaching its goals smashhcm serves as a basis for future digitaltwin platforms for other cardiac diseases integrating models and data from various scales and sources
understanding chemical recycling of solid plastic waste via theoretical approach

the remarkable increase of plastic production in recent decades poses many harmful impacts on the environment and peoples health cycler aims to build up a fundamental understanding of the chemistry involved in chemical recycling processes of solid plastic waste spw by 1 developing robust theoretical protocols for solutionmelted phase determination of chemistry models parameters ie kinetic rate constants of elementary reaction thermodynamic and transport properties and by 2 developing a priori semidetailed chemical kinetic model for different polymers representative of spw streams ultimately this project by providing highaccuracy kinetic models supports the industrialscale implementation of thermochemical conversion technologies towards a circular approach to spw managementto achieve the goals cycler will exploit the combination of various approaches including the quantum chemical molecular dynamics and metadynamics methods the calculation will be performed for pure plastic polymers typically found in spw streams ie polyethylene poly methyl methacrylate polyamide and polystyrene so as to cover a large set of chemical functionalities detailed information on the chemical reactivity the possible reaction pathways and knowledge of the free energy hypersurface will be assessed to derive systematic structurereactivity relationshipscycler drives a stepchange advance in the state of art of solution phase computational chemistry applied chemical kinetics and chemical reaction engineering by proposing a novel theoretical kinetic framework that coupled with semidetailed chemistry models allow fundamental chemical understanding and thus optimization of process conditions at the industrial level the advanced knowledge in the chemical recycling of spw academic networks and the transferable skills acquired from the msca pf will enormously support me in fulfilling my career goal to be an independent researcher
the current impact of motorcycle motorisation on amazonian indigenous peoples

during the last century the indigenous south american lowlands have been colonized by steamboats railways trucks chainsaws fireweapons and electric generators introduced by missionaries extractive industries armies development projects and ngos however anthropological and historical research has largely neglected this mechanic colonisation of indigenous life by focusing on topics such as ideologies of personhood kinship cosmology and relations with animals religious missions and nonhuman spirits aiming at understanding social change some studies have dealt with some of the new materialities that model everyday experience tshirts outboard motors solar panels and cell phones nevertheless not even a single study has analysed a conspicuous fact of the modernization of these marginal territories the current tide of motorcycles that during the last few decades altered dramatically the interethnic landscape and its social economic and environmental repercussions which are significantly reshaping current indigenous reality therefore the goal is to develop a ground breaking and interdisciplinary analysis of the effects of motorcycle dissemination among the indigenous peoples of bolivian amazonia and to achieve practical impact regarding public policies on road safety and prevention of accidents in marginal contexts by accomplishing the workpackages in my host institution ca foscari university unive the project will therefore fill a significant gap in anthropological studies regarding indigenous modernity while at the same time consolidating my position as a professor and researcher with updated capacities on visual and environmental anthropology gender issues science and technology studies and digital humanities
source and toxicological profile of airborne particles in african megacity

african countries are home to some of the worlds most polluted cities where bad air quality is the most potent risk factor for mortality however they are nearly unrepresented in the research on air pollution levels and health impacts without adequate knowledge of air quality and mitigating the sources of pollution the problem will only get worse given africas expected population boom this project through a holistic framework involves a strong exposurehealth linked dualcomponent in the profile of pm to understand the current status of air pollution in luanda angola it aims to answer the following 3 main questions as what causes air pollution what are the effects what are the possible solutions to tackle itthe project will focus on two different levels source identification through receptor model techniques and invitro assessment of cytotoxic and genotoxic properties of the pm to link physicochemical characteristics of air pollution to health risks the first source profiling and toxicological screening of air pollution in africa luanda will contribute to understanding the causes of poor health and defining regional and national policies aiming at improving wellbeing in luanda and other african cities with similar problems making them more resilient and sustainable this will represent a chance to reviewadopt legislation propose sourceoriented costeffective control strategies and lay the foundations for a future measurement network this proposal includes both the transfer of knowledge to the host institution and the training of the candidate in new advanced techniques the project will have a strong connection with the recent world health assembly resolution which has set actions to address air pollution and its health risks in africa as a priority
energyefficient artificial synapses based on innovative ferroelectric transistors

the exponential growth of demand for data processing requires increasingly large computational resources and consequently prohibitively high energy consumption to sustain this evolution a paradigm switch from conventional computing architectures to datacentric platforms is needed neuromorphic computing aims at reaching this goal by realizing braininspired circuits based on artificial neurons and synapses which are extremely energy efficient the objective of this project is to explore a novel type of artificial synapse to be employed in neuromorphic chips among the technological options for solid state synapses memories based on ferroelectric fieldeffect transistors fefet are considered very promising due to their energy efficiency and to their compatibility with a backendofline implementation and thus a 3d integration a fefet is a fieldeffect transistors that employs a ferroelectric fe material as gate oxide fe materials have a spontaneous electric polarization that can be reversed by the application of an electric field and in conventional fefets this is used to modulate the threshold voltage and thus resistance in the channel region this project will address an alternative physical mechanism to obtain a synaptic behavior in fefet namely a polarizationinduced tuning of the resistance at sourcedrain schottky contacts in the ferroelectric schottky barrier fets fesbfets the fe material overlaps the schottky contact region hence in this region the fe material is placed between two metals resulting in an effective and low voltage ferroelectric switching for this reason fesbfets are expected to operate as low energy synaptic devices in this project fesbfets will be extensively studied and modeled by means of tcad simulations a designspace for optimal synaptic operation will be derived finally a compact model for spice simulations of neuromorphic circuits based on fesbfets will be developed
reviving boosting optimising and transforming european film competitiveness reboot

this project aims to connect the existing strengths identify and overcome weaknesses and plan for future competitiveness in the fields of policy practice and experience more concretely the projects objectives are on the one hand to explore the longstanding strengths and pervasive gaps in european competitiveness and policies for competitiveness this includes ways of measuring analysing and evaluating the impact of policies and strategic pathways on the other hand the project aspires to place attention to the active preparation for the future in the area of audiences by exploring audience preferences and their generation as well as modes of film content production the latter are elements which todays youth will carry and engage with in the coming decades as makers and consumers as well as industry and policy leaders therefore the consortium interrogates not only the what is but also the what has been and what will be with fresh lenses reboots ambition is to provide a full set of knowledge of the european film industry which maximises its existing strengths combined with strategic and tactical dimensions of action for the optimisation of the potential held in european youth publics understood both as emerging audiences and as citizens specifically the ambition of the project combines several dimensions which reinforce each other but are listed separately for analytical purposes and in no particular order a increasing support for young peoples engagement with european film b strengthening the place of the eu in the global audiovisual economy particularly in light of the rise of video on demand vod c supporting cultural diversity in the eu film industry d addressing the need for a different understanding of competitiveness and relevant indicators in this context and e recognising and supporting the importance for the eu of film and more broadly of the cultural and creative sector as a geopolitical asset
spectral diversity within ryugu

to understand the history of the chondritic asteroid ryugu and whether it had a role in delivering volatiles and organic material to early earth sdr will constrain the mineral and geochemical variability of sediment samples from ryugu on a grain and subgrain scale because ryugu is a rubblepile asteroid made of reaccreted pieces of the parent bodybodies nearsurface sediment collected by the hayabusa2 mission represents many depths within the interior of the parent however current analyses of collected reflectance spectra are done at the bulk sample scale which can average over interesting features to determine the major components as individual grains are prepared to be sent out for proposed science each grain is being documented from multiple viewing angles using the micromega hyperspectral imager 099365 micrometers developed at ias this has created an enormous rich dataset of 20 hyperspectral images for each of 350 grains analyzed so far and this dataset will continue to grow over the coming months by conducting novel statistical analyses of this dataset of 7000 highresolution image cubes 22 micrometerspixel i will identify cooccurring mineral phases minor phases and variation in organic phases that have implications for the aqueous alteration conditions within ryugu and its parent body statistical analyses will include principal component analysis kmeans clustering distinctiveness measures pixeltopixel correlation edge detection and network centrality my experience publishing on statistical analyses of existing noisy datasets has prepared me to extract meaningful information from this large complicated dataset this work will culminate in an updated model of formation and alteration on ryugus parent body which relies on the types and position of minerals to infer alteration gradients and constrain the nature number and temperature of aqueous alteration events
design framework for singlestep additive manufacturing of liquid metalbased plasmafacing surfaces for fusion reactors

energy is now the topic of a fullblown political and economic crisis in europe nuclear fusion is a promising option to replace fossil fuels as a limitless safe and co2free source of energy however some challenging engineering issues must be addressed before fusion can supply electricity to the grid the fusion reactors first wall is subject to severe heat flux erosion and sputtering therefore new materials must be developed a liquid metal wall has been introduced as a viable solution to address all issues associated with the first wall of a fusion reactor the alps project aims to deliver an innovative multiobjective design framework based on additive manufacturing am of tungsten to address the main challenges associated with liquid metal walls and produce a stateoftheart plasmafacing material for future fusion reactors the alps project will reach its goals by 1 introducing design guidelines for precision am of tungsten 2 am of tungstencopper multimaterials 3 am of a highperformance tungsten capillary porous system and 4 assessment of the produced liquid metal walls in fusion conditions since this is a highly interdisciplinary research topic the alps project will connect two competencies existing at the applicant and tue precision am and the design and testing of liquid metal walls through a european postdoctoral fellowship to present a new concept of using am in fusion research the nature of this project is highriskhighgain however the existing competencies at the applicant host and associated partner differ make the ambitious goals achievable contribution to fusion research as one of the promising sources of future energy is a strong motivation in the applicant to implement this research and push the state of the art in materials for fusion energy through this fellowship the applicant will acquire new knowledge skills and competencies in topranked institutes to develop his career
conservation data justice

condjust will create a new research field conservation data justice that bridges three distinct areas of enquiry conservation prioritisation political ecology and data justice the former uses data which risk marginalising rural peoples the latter does not yet examine conservation data meanwhile political ecologists do not yet consider data justice approaches when tackling conservation prioritisation condjust will interrogate conservation data and models and explore the epistemic communities producing them to develop new theories of socially just datadriven conservation it will challenge the colonising tendencies of prioritisation work and seek decolonising alternativescondjust is timely because ambitious new global targets seek to safeguard 30 of the planet for conservation by 2030 and more afterwards these plans pose risks for rural people because the data and modelling they use can contain diverse forms of bias exclusion and omission these risks will grow as more social media data are used in conservation prioritisation we need insights from data justice to understand these dangers and how they might be counteractedthis project has four objectives each with a corresponding work package these are1 systematically examine the sources of bias and distortion in conservation data used in global prioritisation work2 use data justice thinking in new analyses of biodiversity conservation and increase our understanding of socially just conservation prioritisation3 critically explore the construction of different epistemic communities in conservation prioritisation and political ecology to understand what inhibits and enhances learning between them4 examine how policies responding to prioritisation are shaped by or resist the new measures proposedthese work packages will be pursued by an interdisciplinary team led by the pi and composed of three postdoctoral researchers two phds an administrator and an advisory board
interoperable cloudbased solution for crossvector planning and management of positive energy districts

interped aims to enable the concept of peds via sector coupling crossvector integration demand flexibility and consumer engagement while improving utilisation of local res storage and excesswaste heat ewh sources interped will couple res storage and ewh sources community assets available in the pilots with the necessary knowhow and ict expertise to ensure improved operation of peds and grid robustness this will allow interpeds end users aggregators service providers urban planners to deliver benefits to both grid stakeholders dsotsos and final consumers and prosumers to do so interped will deliver a scalable and adaptable cloudbased platform composed of analytical modelling and optimization services for planning supervision and control of integrated peds including power heating and cooling mobility optimized ped operations will be demonstrated at pilot sites while enabling a cooperative demand response dr strategy at communitydistrict level in addition to automated control actions interped intends to engage the consumers via community building eg cecs or recs representing a still largely untapped source of flexibility while enabling them to play an active role in grid balancing by making it cloudbased and by ensuring system interoperability both syntactic and semantic interped will enable aggregators and actors positioned to adopt proposed business model eg escos energy retailers dsos to deploy the interped solution immediately almost anywhere while reducing the cost to its scalability the key strategy to ensure solutions will work well in an everyday context of consumers is that interped will involve the consumers community and service providers in the design of the solutions through participatory codesign processes interped will verify the technical and commercial feasibility of its integrated package in four largescale pilots each representing an existing ped
cognitive dynamics in early childhood

cognitive ability measured through standardized tests provides a highly predictive measure of lifespan outcomes including academic achievement job success as well as mental and physical health however these cognitive snapshots omit a crucial aspect of cognitive ability short term variability in cognitive performance individuals with more variable performance are more likely to be misstratified into schools or careers with potential lifelong consequences and more likely to perform at levels that necessitate intervention for periods of time moreover variability reflects a promising early warning marker of adverse outcomes above and beyond mean performance however the challenges involved in measuring variability have left crucial questions unanswered is variability a single trait or does it have distinct factors what are the neural and behavioural determinants of cognitive variability what is the association between short term variability and longterm outcomes in this unique longitudinal design using gamified versions of classic cognitive domains i will measure variability across a range of tasks at multiple levels of temporal resolution months days occasions and trials 600 children 200 in the neuroimaging arm will be measured for period of three years once per year they will take part in a burst a week where they will be measured three times a day i will use using cutting edge methodology to understand the behavioural neural and environmental mechanisms of variability as well as the longitudinal consequences of variability on cognitive development and the emergence of mental health symptomatology such as adhd by combining the strengths of deep phenotyping with cutting edge quantitative modeling i will be able to test and develop theories of cognitive development demonstrate the role of brain structure and function in supporting cognitive dynamics and determine the effect of cognitive variability on developmental outcomes
reconstructing the environmental biological and societal drivers of plague outbreaks in eurasia between 1300 and 1900 ce

synergyplague is a multidisciplinary project to bring our knowledge and understanding of plague past and present to new heights focussing on the environmental biological and societal aspects of plague outbreaks in eurasia between circa 1300 and 1900 ce it will address four main questions 1 whyhow did plague reemerge in 14th century central asia 2 whyhow did plague reoccur and spread in eurasia after the black death 3 whyhow did clinical and demographic patterns of plague infection differ across space and time 4 whyhow did plague disappear from europe and the middle east in the 18th and 19th centuries our project is based on the hypothesis that plague waves and clinical differences resulted from unique alignments of multiple events environmental climatic and soilchemical biological from individual to ecosystem and societal demographic socioeconomic and political four pis from the natural sciences and humanities together with their team members will jointly study how plague reemerged in 14th century central asia and radiated repeatedly from eurasian wildlife reservoirs in the following centuries only to disappear in the 18th19th centuries we will develop and analyse new dendrochronological and paleosoil data textual documentary evidence and epidemiological models to understand how plague reached and spread in human populations paleoenvironmental and historical data together with relevant experimental work will be combined with statistical and mathematical modelling to appreciate why clinical signs and mortality rates varied in space and time historical evidence will be examined together with new entomological data and ancient dna adna of historical plague strains from humans and anthropophilic rodents synergyplague will revolutionise our understanding of plague and contribute to our ongoing struggle with epidemic diseases present and future