Dragon09/odtu_chatbot huggingface dataset:
deconvolving the early record of eukaryotic evolution

the neoproterozoic era 1 to 054 billion years ago witnessed some of the most dramatic ecological and evolutionary changes in earth history which culminated in the appearance and diversification of animals after almost 4 billion years of bacterial dominance it took life on our planet just 250 million years to go from the proliferation of unicellular eukaryotes to diversification of animals this sequence of rapid ecological and evolutionary changes is thought to be related to unprecedented environmental perturbations which occurred during this time interval and are recorded in sedimentary rocks we know these perturbations did happen but not their magnitude duration or driving mechanisms one of the major limitations of interpreting the data is that each sample represents tens or even hundreds of years of sedimentation and contains a mixture of unevenly preserved remains of organisms that lived throughout this time this project focuses on new methodological approaches at the interface of organic geochemistry isotope geochemistry and palaeontology to deconvolve the mixed signals of ancient rocks stable carbon isotope analysis on biomarkers of specific groups of organisms would provide insights about the carbon cycle at their habitat analysing biomarker composition of the first complex microfossils would allow to identify which organisms they were positionspecific isotopic composition of ancient biomarkers might reveal their biosynthetic pathway and thus identify the first ecologically successful eukaryotes on our planet the study is designed to extract information about the composition and ecology of ancient ecosystems as well as the history of carbon cycle throughout the critical time of the rise and diversification of complex life it aims to resolve what it takes a habitable planet to evolve complex life and in turn how life on our planet responded to possibly the largest perturbations in the global carbon cycle in the earth history
quantumtox revolutionizing computational toxicology with electronic structure descriptors and artificial intelligence

toxicology is at a crossroads with ever more drugs going to market and more chemicals having an environmental impact the need for fast cheap and accurate technologies to assess toxic effects is pressing computational toxicology provides an array of tools and methods for toxicity prediction only using computer approaches conceptually computational toxicology has significant advantages since testing is fast and cheaper than in vitro however currently computational toxicology has severe limitations predictions typically use quantitative structureactivity relationship qsar models that rely on large sets of molecular descriptors this causes severe problems since the methodologies cannot assess chemicals different than the ones used to develop the qsar models and when that is possible the very large number of descriptors limits understandability therefore new methodologies are needed to address those shortcomings this project will develop a new type of descriptor totally based on quantum mechanics that can cover the whole chemical space and relies on a small number of parameters that are easily interpretable starting with meaningful chemical perturbations that extract the behaviour of the chemicals in assumed mechanisms of toxic action the approach will develop specific electronic signatures esigns esigns are mathematical invariants that map the results of the quantum chemical calculations using artificial intelligence the esigns will relate to toxicity the new approach introduces a momentous change in computational toxicology it can cover the whole chemical space since we are abandoning predictions based on molecular structures uses fewer parameters and can be related to the new trends in toxicology regarding use of pathways information in fact it is a powerful tool to allow accurate toxicology predictions solely on the basis of biochemical and chemical insight
digital platform for datadriven and physicsbased product development enabling a circular economy

the urgency to address the environmental impact of the prevailing linear economic paradigm has intensified stressing the need for optimizing resource utilization minimizing waste and maximizing product value to achieve ecological and economic benefits this is particularly critical in the automotive industry where a significant volume of primary materials is employed recycling scrap materials in this sector can yield impressive 85 reduction in co2 emissions however designing automotive parts for circularity requires innovative 1 tools and infrastructures to close current information gaps as well as 2 multipurpose alloys with enhanced compatibility and processibility for scrap materials to increase recyclability of materials this requires a comprehensive consideration of life cycle scenarios potential constraints on recycled material and adherence to changing standards and regulations digi4circular project tackles these challenges by creating a robust digital workflow for circular product development integrated into the synera low code platform demonstrated on aluminium casting use case in the automotive sector through automated workflows the project facilitates the generation of circular product designs and manufacturing possibilities contingent on environmental impact assessments for different endoflife scenarios the approach relies on novel methods for material design and property prediction of circular alloys rapid lca and lcc analysis knowledge extraction from norms and expert knowhow integrated by rule and knowledgebased systems for automated product design generation the workflow connects all necessary software tools and data generated throughout the value chain in a dedicated information space whereas life cycle data for individual products is systematically stored in a digital product passport accessible for all developers in the value chain
demographic responses to varying environments under climate change

ongoing climate change has altered both mean and shortterm temporal variability of environmental conditions such as temperature or food resources while there is strong evidence that wild populations are deeply influenced by changes in the mean environmental conditions and respond accordingly eg shifts in phenology in species ranges population responses to changes in the magnitude of environmental fluctuations are poorly understood this knowledge is however crucial to better predict and anticipate climate change impacts on biodiversity hosted at the institute of mathematics of bordeaux university of bordeaux the project drove will be coordinated by christie le coeur a specialist in population ecology who will benefit from the supervisors dr f barraquand expertise in ecological statistics and theory this project aims to provide a robust statistical and theoretical framework to unravel the effects of changes in environmental variability on dynamics of wild populations and to characterise the demographic mechanisms responsible for their persistence under climate changethis goal will be achieved by defining metrics to measure population persistence and demographic strategies in a variable but also densitydependent environment when population growth slows down as population density increases as previous work on variable environments has ignored this almost ubiquitous population regulation the researcher will then build population models with data from longterm individualbased population datasets of a wellstudied species across europe the great tit parus major to explain intra and interpopulation variations in demographic strategies and persistence in varying environments combining longterm empirical surveys with stateoftheart model development this project will provide statistical tools solidly grounded in population dynamics theory to understand environmental variability effects on wild populations under climate change
regular and unplanned care adaptive dashboard for crossborder emergencies

during crossborder health emergencies health and care services may be overwhelmed by high numbers of patients requiring unplanned care delays and backlogs in regular care as a result of the stretched health care system leave millions of patients with regular care needs unattended resulting in disastrous healthcare outcomes if poor healthcare outcomes across the population are to be avoided healthcare systems must become more resilient and flexible and allow for rapid changes in the care delivery services rapides aim is to develop validate and demonstrate a portfolio of powerful tools that enable healthcare systems to build in robustness of decisions resilience of the health care professionals and patients and flexibility in the modalities of care delivery thereby maintaining access to regular care during health emergencies rapide emphasises opportunities for optimising inhospital care but also for relocating care from hospitals to community and home environments without loss of care quality thus the project focuses on two closelylinked challenges 1 identifying and predicting how much care and which care needs to be moved along the care chain 2 identifying and verifying effective feasible and acceptable ways to make this reconfiguration of care a reality this will be achieved by a resource modelling which builds comprehensive foresight and forecasting solutions and links them to patient flows optimization along the whole chain of care b selecting and implementing the best available tools to deliver regular care in new ways to ensure usability acceptability and equitable realworld value rapide will be codesigned and covalidated with stakeholders from patients gps clinicians and hospital managers to health ministries pandemicmanagement and public health agencies a table top exercise and extensive communication and dissemination will raise awareness of the projects successes
representations motives and langlands duality

numerous advances impacting society from basic science to consumer technology are built on fundamental research in mathematics examples include noneuclidean geometry leading to general relativity and then gps navigation number theory leading to publickey cryptography and then to secure online commerce and topology with applications in image recognition and medical diagnosticsthis doctoral network remold representations motives and langlands duality will advance fundamental research in three highly active fields of mathematics representation theory algebraic geometry and number theory specifically remold is at the forefront of research in geometric representation theory and the langlands program using recent mathematical innovations from the field of motivesremold will build a european network of doctoral candidates that excels in fundamental research in mathematics implements innovative training formats and partners with a leading european quantum computing company in order to form a group of scientists ready to apply to highly competitive positions in academia and industry
crossborder cultural and creative tourism in rural and remote areas

rural and remote areas rra are rich in cultural heritage but many also suffer from socioeconomic problems such as an ageing population outmigration and low incomes cultural and creative tourism cct could help address these problems by creating sustainable jobs and investment but three key challenges and associated knowledge gaps must be overcome 1 placespecific business models that suit different types of cultural heritage and community needs must be created 2 tourism development must be balanced and sustainable 3 policies at different scales should support cooperation between rra crocus addresses these key challenges by a generating knowledge about which cct business models are most appropriate for different types of heritage and rural areas b creating eight crossborder living labs in which sustainable cct business models will be prototyped 16 in total c developing macroregional and crossborder policy scenarios for each of the four eu macroregions baltic sea adriatic and ionian alpine and danube and d synthesising knowledge and experience from the project to create tools and resources that rra across europe and beyond can use to develop sustainable and inclusive cct in the futurecrocus will achieve this through its ambitious multiscalar research design innovative crossborder living labs and participatory processes of sustainable business model prototyping the consortium brings together leading scholars and practitioners that have extensive experience with crossborder tourism development projects stakeholder engagement and policy analysis it will be the first systematic study of different types of crossborder cct cooperation in rra the impact of crocus will be to increase sustainable and inclusive cct and crossborder cooperation in rra across europe thus unleashing the potential of cultural heritage as a driver of sustainable innovation
innovations and capacity building in agricultural environmental and rural uav services

icaerus proposes an applicationoriented approach through the selection of five 5 specific drone applications to explore the multipurpose application potential of drones in agricultural production forestry and rural communities the selected drone applications represent the most important sectoral and societal drone usage purposes in europe and cover multiple applications that are interconnected within the complex rural european landscape the icaerus vision is to explore opportunities and provide a more complete and interconnected account of the potential and impact of drones as multipurpose vehicles in eu agriculture forestry and rural areas the aim is to showcase and support through application the effective efficient and safe deployment of drones as well as identify the risks and added values associated with their use taking off from the current stateoftheart in the drone ecosystem icaerus will rise up by advancing existing software technology platform components and knowledge in regard to drones to exploit the potential of drones and strengthen capacities to reduce their risks achieve better informed decisionmaking enhance sustainability performance and competitiveness in agriculture forestry and rural areas this will be showcased in two directions fundamental applications representing an eyeinthesky using the drone as a positioning system for optical observation and recording and a handinthesky applications for spraying and goods delivery icaerus plans to scaleup through research technology optimisation demonstration and education about drones to create an efficient trusted and safe enabling environment for the eu drone services market to achieve the eus decarbonisation digitalisation and resilience ambitions icaerus consists of a balanced multiactor cross sectoral and wellexperienced consortium including research organisations sme technology providers associations and nonprofit organisations
deciphering alzheimers disease molecular subtypes to advance treatment development

worldwide 50 million people suffer from dementia which is caused by alzheimers disease ad in 70 of the cases there is no treatment to stop reverse or prevent ad ad is pathologically defined by amyloid plaques and tau tangles in the brain implying that it is a single disease entity still patients vary greatly in rate of decline and underlying pathophysiology which hampers the search for cures i have discovered and replicated 5 ad subtypes in patients based on cerebrospinal fluid proteomics csf subtypes had distinct pathophysiology including differences in amyloid metabolism and clearance as well as in cognitive decline this indicates that they would need tailored treatmentsthe goal of this project is to understand ad subtype specific mechanisms and how these are related to cognitive decline taking csf proteomics as a starting point i will address the following scientific needs1 understand which ad subtype molecular processes change over time and how those changes relate to cognitive decline this requires large datasets of individuals with repeated csf proteomics i have access to two large deeply phenotyped cohorts with already collected repeated csf samples over 5 years from 700 individuals in which i will measure proteomics2 study drivers of ad subtypes with genetics and in a subset of n50 with tissue proteomics3 develop markers in blood for subtype detection which would remove barriers for clinical use4 test if ad subtypes differently respond to amyloid modifying drugs which is the strongest proof that ad subtypes need tailored therapyif successful decipherad will provide proof of concept that ad subtypes have use as a theragnostic tool show which genetic factors drive molecular subtypes how molecular signatures change over time and how these changes relate to cognitive decline with tools in blood to facilitate implementation in clinical practice this will catalyse ad subtype tailored treatment development
adaptable bioinspired polaritonpolariton energy management

humanity is approaching a cornerstone where climate change will transform society industry and economy therefore moving away from inefficient energy consumption and fossil fuels is more urgent than ever renewable energy sources are growing fast but their full integration will make necessary not just a boost of their efficiency but rather a quantum leap in energy management such paradigm change will come from technologies adaptable to changing climate conditions and importantly making use of widely available noncritical materialsadaptation vision is to challenge current paradigms in solar energy harvesting and their integration by developing a new solar material platform that will integrate thermal management and energy collection in a single material reducing electricity peak profile and allowing easy adaptation of the energy harvesting properties to different climate conditions for this purpose we will take inspiration from the two most efficient energy management processes on earth photosynthesis and terrestrial radiative cooling adaptation will mimic simultaneously the strategies followed by plants during photosynthesis to collect and manage energy at the nanoscale and the powerfree radiative cooling of earth by thermal regulation at the microscale these extraordinary energy collection and managing strategies are robust to disorder and provide selfregulatory cooling capacities which make them ideal to be integrated into a wide spectrum of physical objects powering them with a sustainable energy source in adaptation we will develop the building blocks for this technology and will demonstrate its implementation with two sustainable novel device architectures our innovative vision is based on the multidisciplinary background of its consortium with experts in geosciences polaritonic photonics colloidal and supramolecular chemistry materials engineering quantum technologies or photovoltaics including hightech industrial implementation
carboxylic acids as reactive refrigerants to make heat pumps efficient

aiming to contribute to a substantial increase in the sustainability of thermal power plants heat pumps and climatization systems the ercstgreacher is introducing new working fluids for the thermodynamic cycle underlying these systems these new fluids are mixtures of dimers a2 and monomers a undergoing a reversible dimerization reaction a2 2 a evolving instantaneously and spontaneously in the unit operations of the machine reacher has introduced about 200 of these reactive fluids among them the family of carboxylic acids eg formic acetic propionic acid seems very promising as working fluids for residential heat pumps other than owing excellent environmental properties their use promises an outstanding 1743 relative efficiency improvement compared to stateoftheart heat pumps in this context the main objective of the ercpoccreative is to perform the first step towards the realisation of a residential heat pump prototype operating with formic acid enabling the validation of the theoretically observed positive chemical reaction effects this step consists of preliminary verifying the feasible compression of formic acid with a finely controlled series of available compression technologies using air as working fluid in the subatmospheric pressure conditions characterising operation with formic acid within creative these results will further allow the design of a pilot operating with formic acid to test in a future poc the compressors preliminarily selected and pretested with air in creative the realisation and design of the experimental setups for the formic acid compression feasibility assessment are supported by thermodynamic calculations carried out in creative using tools developed in reacher this poc is supported by the expertise of two industrial partners and involves the host institutions technology transfer office which will handle ip management and explore valorisation pathways for the key exploitable results
a realtime imaging and classification system for lowgrade glioma detection during brain surgery

brain tumors remain one of the most incurable illnesses we know patients have poor prognosis and less than a decade of life expectancy the oncologists toolkit is rather limited as chemotherapy agents have limited access to the brain due to the blood brain barrier selective permeability and radiotherapy results in extensive damage to tissue well beyond the targeted area leaving surgical removal of the tumor as the most effective approach it has now become clear that the completeness of the surgical removal of the tumor is the most important factor determining recurrency of the illness as such tools that enable neurosurgeons to effectively remove the tumor are of fundamental importance in the surgical theater recent advances in intraoperative fluorescent labeling of common brain tumors has proven to dramatically improve surgical outcome unfortunately no such labeling or intraoperative aid exists for the highly infiltrative lowgrade glioma lgg making it the deadliest type this poc project aims to tackle this urgent unmet need and develop an intraoperative realtime imaging and tissue classification tool for precise onsite identification of lgg tissue the core technology emanates from the multiphoton ultrafast volumetric imaging we developed now able to run in realtime to study the link between neuronal activity and blood flow here we harness this unique technology and extended it to perform realtime labelfree multimodal acquisition and image processing using the latest deeplearning tools our tool will provide surgeons with the ability to discern while operating healthy vs tumor tissue together with neurosurgeons a technological hardware partner and an expert in artificial intelligence we are positioned to generate the firstofits kind prototype and to seek its commercialization such a tool is expected to become a game changer in brain and other tumor surgeries improving the life expectancy and quality of many patients and families