Dragon09/odtu_chatbot huggingface dataset:
understanding kilonova diversity using radiative transfer simulations with realistic binary neutron star merger ejecta

the merging of binary neutron stars produces an explosive kilonova transient recently confirmed by the first ever detection of a kilonova at2017gfo coincident with a gravitational wave signal gw170817 the wealth of observations provided by at2017gfo offers the opportunity to probe the fundamental physics of binary neutron star mergers including the incompletely known equation of state of dense nuclear matter and rapid neutron capture nucleosynthesis the rprocess which produces half of all elements heavier than iron in the universe with the detection of at2017gfo and the new gravitational wave observing run of ligo virgo and kagra o4 the demand for kilonova simulations has never been so greatthe aim of this research is to produce sophisticated threedimensional kilonova radiative transfer simulations from binary neutron star merger ejecta with detailed rprocess calculations allowing simulations to be directly compared to observations i am uniquely placed to combine these complex simulations to selfconsistently model kilonovae enabling powerful constraints to be placed on the underlying physics through interpreting kilonova observations i will carry out the first threedimensional kilonova parameter space study based on realistic hydrodynamical neutron star merger simulations with a range of neutron star masses and equations of state the simulations will predict spectra using a state of the art linebyline opacity treatment for millions of line transitions of rprocess elements which allows spectral features to be directly associated with the ions responsible for forming the featuresthis multidisciplinary approach will constrain and improve hydrodynamical neutron star merger modelling kilonova radiative transfer simulations the high density equation of state and rprocess nucleosynthesis which are critical to move our knowledge of kilonovae and their role in producing heavy elements in the universe beyond the state of the art
novel biomaterials to prevent dental periimplant infections

periimplant infections are a devastating complication of dental implants occurring in approximately 20 of all patients that can ultimately lead to implant instability and loss considering this high prevalence rate and the lack of predictive treatments in severe cases prevention of periimplantitis has become a major challenge in clinical dentistrynomad will develop innovative biomaterial approaches for dental implants from trl3 to trl5 various functionalised implant coatings for titanium and zirconia implant surfaces will reduce the risk of infection and associated inflammation improve softtissue sealing at the gum line and promote osseointegration a further innovation are multimaterial crowns and abutments using additive manufacturing combined with grafting of nanotubes enabling controlled release of prebiotic as well as antimicrobial compounds in response to bacterial adhesion at the onset of infection ie smart conditional release a combination of these approaches will be employed in the final product to provide a customisable allround solution focusing on crown abutment andor fixture for prevention of periimplantitisadvanced in vitro testing using complex cell cocultures in bioreactor systems and biomechanical stability tests will enable selecting the most promising biomaterials for testing in relevant in vivo models these results will enable rapid progression to firstinhuman studies of new biomaterials after the project a costbenefit and regulatory analysis will be performed and an innovation management strategy will develop a roadmap for commercialisation the nomad consortium includes a major dental implant manufacturer academic groups smes working on biomaterials innovation and a specialist innovation company the project is a major opportunity for enhancing eu competitiveness in biomaterials and intersector technology transfer
healthcare innovation procurement network

the objective is to create a networkcommunityecosystem of procurers and relevant stakeholders in ppi the idea is to empower all the actors involved in ppi through this network focusing on the procurers we need to attract both experienced procurers and not experienced procurers if we want to succeed in this we will also need to analyse current barriers and needs of procurers and then create and shared tools to facilitate ppi for all the actors involved
animal welfare indicators at the slaughterhouse

the objective of awish is to develop and offer a costefficient solution to evaluate and improve the welfare of meatproducing livestock at a large scale across europe this approach will be developed and evaluated in close collaboration with all actors involved from primary producers up to policy makers and citizens at the heart of the awish solution is the automated monitoring at the slaughterhouse of complementary animalbased indicators for monitoring welfare onfarm during unloading transport and slaughter besides that existing or routinely collected data slaughterhouse data antibiotics usage farm data etc and needed technologies onfarm or ontransport to complement the measurements at slaughter will be exploited piloting and development activities will be done in 6 broiler chicken and fattening pig production chains across europe fr pl es nl at rs using a lean multiactor approach in order to test and validate the project results novel sensor technologies and ai algorithms will be developed and a feedback tool and interface will allow each actor in the chain to get direct feedback of each batch visualize trends and benchmark animal welfare outcomes an animal welfare indicator catalogue will disseminate all validated indicators and standardized data collection methods from the pilot data animal welfare initiatives taken at operator chain regional or national level will be assessed alongside their environmental and socioeconomic impact at operator and sector level next to that 9 best practice guides will be developed to improve key welfare issues in pigs and broilers and to help external actors deploy the awish technologies and feedback tool how the feedback loop guides and motivates each party to take actions to improve animal welfare will be tested in a longitudinal study and the needs perceptions and barriers of all actors from farm to fork incl the consumer will be researched to maximize impact of the awish results
on a quest for datadriven innovations to fuel sustainable food systems

the agrifood industry faces numerous challenges dealing with societal public health individual nutrition and environmental food waste and overall food system sustainability challenges imbalances and disconnected food markets are generating undesirable tradeoffs between the food supply the consumption patterns quality of nutrition and the environment interoperability and data sharing across agrifood supply networks is limited data can revolutionise the food industry and foster its contribution to inclusive and sustainable food systems data can be used to assist these stakeholders in making informed decisions on how to operate in a more sustainable and inclusive manner in this way they increase the efficiency of the food industry through the optimisation of relevant operations and the reduction of waste promoting transparency and demonstrate their commitment to ethical and sustainable production fooddataquest will develop groundbreaking datadriven solutions based on an integrated methodological framework that explores new types of private and public data sources data from unconventional players and noncompetitive data and leverages data sharing mechanisms in order to provide the eu food chain stakeholders with increased insights and enhance the transition towards sustainable healthy diets the proposed framework will include guidelines and data collection strategies to drive the food system transformation towards inclusive sustainable healthy diets within the boundaries of legal and policy frameworks fooddataquest will cocreate and test advanced datadriven solutions based on ai and ml algorithms following a multiactor approach that will serve as a lighthouse that positively impacts a fair healthy and environmentally friendly food system last fooddataquest will engage citizens into industrys datadriven innovations balancing between data openness and protection of private and sensitive data of multiple stakeholders
understanding fintech regulatory sandbox development in europe

the growth and spread of fintech has created complex challenges that have placed a significant burden on current regulatory frameworks in response to the need to balance the promotion of innovation with the maintenance of financial stability and the protection of consumers one institutional innovation the fintech regulatory sandbox frsb has gained traction to meet these challenges however the trajectories of adoption and the level of development of frsbs vary significantly among eu countries in ways that remain underexplored the firsa project aims to fill this gap by offering a multidimensional measurement framework of frsbs in the eu to develop a greater understanding of their differences relative strengths and weaknesses and the mechanisms that lead to their implementation whereas existing comparative studies on frsbs have focused on their de jure characteristics this project will include de facto measures and will be organized in three interlocked stages stage one will output a measurement framework of frsb development in the eu stage two will create a typology of frsbs and validate it through qualitative case studies finally stage three will apply qualitative comparative analysis to explain the trajectories of the adoption of frsbs and factors influencing them all project results will be disseminated through a projectspecific website which will serve as a hub for all related activities and materials such as a dashboard on fintech regulatory sandboxes in the eu academic publications a webinar series and a policy brief its innovative framework and dataset will be made available for policymakers businesses and researchers and will improve market efficiency by offering a centralized information hub on regulatory sandbox practices and characteristics that can be used by innovative firms to inform their decisions on if where and how to enroll in these programs
computationally driven discovery of organic dyes for photoredox catalysis from physicochemical principles and mechanistic information

photoredox catalysis has become a quintessential part of organic synthesis and gained wide interest in the chemical industry as a mild and robust synthetic methodology acridinium salts are a prominent substitute for transition metalbased photocatalysts pcs due to the modularity of the core which makes them and structurally related dyes an optimal platform for structureproperty tuning however a limited understanding of how structure influences reactivity prevents rational design while the synthetically realizable chemical space is far too vast to explore using even highthroughput experimental methodsthe objective of the proposed action is to study computationally the elementary mechanistic steps integral to photoredox catalysis to establish how they are each influenced by pc structure we will develop an automated workflow for highthroughput computational molecular pc construction and analysis in which known molecular fragments are coupled together by chemically precedented steps finally bayesian optimization will be used to guide the machine learning model building this is distinct from conventional approaches in the field as we aim to increase the quality of our model with mechanistic understanding from quantum chemical calculation my expertise in the fields of synthetic physical and computational organic chemistry provide me the necessary skillset and ability to learn new concepts and successfully execute this project the gained knowledge and results from the project will be an asset and help to build sustainable processes in the chemical industry in eu the work will be implemented in the research groups of prof robert paton and prof jeremy harvey with a secondment period in the group of prof abigail doyle the investigators combined expertise ranges from computational and empirical reaction mechanism study to data sciences and hence enables the project to incorporate complex mechanistic information to rational pc design
the origin and impact of impaired ubiquitin signaling in the degeneration of neurons

neurodegenerative diseases share similar hallmarks such as protein aggregation suggesting that impaired protein degradation may be a common denominator the major cellular pathways mediating protein degradation are the ubiquitinproteasome system ups and autophagy both regulated by ubiquitin signaling however aside from specific mutations in familial neurodegeneration cases an early cause for failing ubiquitindependent proteolysis remains unclear this proposal will test our unconventional hypothesis that dysregulated ubiquitin signaling is an early event in mechanisms of neurodegeneration linking together numerous disease hallmarks towards this goal we present groundbreaking findings that a mutated ups protein resulting from a nonheritable transcription frameshift and present in the brains of neurodegenerative patients particularly alzheimers disease ad is sufficient to trigger disease hallmarks in 3d human neuronal cultures this unique setup replicates the main pathological hallmarks of ad without relying on any of the known genetic causes or risk factors utilizing this novel model we have identified a previously unknown enzyme active site in a key neuroprotective protein which now allows us to study the role of ubiquitin signaling in disease pathologyspecifically this proposal seeks to understand both the source of diseaserelated ubiquitin signaling deterioration and its impact on neurons by1studying the mechanisms that trigger disruption of ubiquitin signaling in neurons2understanding the consequences of altered ubiquitin signaling in human neuronal models of ad3searching for mechanisms of neuroprotection mediated by key enzymes of the ups the outcome will develop new models of neurodegeneration improve methods to study ubiquitin signaling in neurons and yield a mechanistic understanding of ups components in neuronal health and disease furthermore the results will pave the way for developing new treatment approaches
sustainable ethics reviews of digital health technology design in sub saharan africa

the strategic project aims to cocreate responsible research and innovation approach that aligns with socialcultural values principles contexts needs and interests in ssa and implement capacity development plans that can strengthen the ethics and regulatory capacity to ensure responsible digital health technologies for clinical research and practice the project will involve ssa and eu partners and stakeholders and cocreate functional resources such as the strategic training materials the urgency of strengthening ethics and legal infrastructure for digital health technologies in ssa is due to the increasing integration of digital technologies into clinical research and practice and the potential negative impacts of these systems on patients communities and society while most countries in the global north have recognised the importance of responsible digital health technologies the ethics and regulatory capacities for addressing the ethical and legal risks of these technologies are still lacking in ssa the overarching aim of the strategic project is to cocreate a theoretically strong empirically supported and widely consulted responsible research and innovation approach and capacity development plan and materials that can strengthen relevant ethics and regulatory institutions for clinical research and practice in ssa it will identify and map the existing ethical and legal infrastructure in ssa highlighting the gaps and needs use these insights to cocreate an rri approach and codevelop and implementing trainings that will also be interested into existing training infrastructure and network it will also establish sustainable ecommunity that exist beyond the project methodologies to be used include stakeholder engagement and cocreation strategies such as focus groups consensus workshops and roundtable discussions
transforming access to excellence with successful alliances of higher education in digital agriculture

widening countries lag behind the european average in research innovation investment and scientific excellence the domain of digital agriculture da is one prominent example higher education institutes heis of widening countries like greece and serbia can play a central role in addressing this issue but need support for achieving excellence in research and education in the da domain heis in belgium have gained significant experience by establishing an ecosystem that fosters close collaboration among heis competence centers digital innovation hubs and industry leveraging advanced digital technologies for the benefit of citizens business and scientific advancement in this light tallheda will build a new longterm alliance for da between agricultural heis from widening countries with leading nonwidening agricultural universities and local and international stakeholders tallheda alliance will contribute to raising the critical mass of highly skilled scientists and to establishing liaisons with surrounding ecosystems in order to foster the quadruple helix of innovation in widening countriesthe path to excellence will be paved with a portfolio of multiactor intersector and international complementary actions to support students earlystage and experienced researchers and academic staff of the widening heis this will be achieved through collaboration complementary toplevel expertise of all partners access to cuttingedge infrastructure staff mobility and joint educational and research activities the partners have an established scientific reputation in da and are committed to making tallheda a successin the long term widening heis will be one step closer to reforming their institutions in terms of content and quality of educational courses pedagogical and management practices and research and innovation capacity raising the critical mass of highly skilled scientists needed for digital transition in agriculture across europe
cooling for electricity production batteryfree technology

cooled will explore the development of an innovative batteryfree technology to generate electcooled will explore the development of an innovative batteryfree technology to generate electricity using cold space in any place and at any time cooled proposes the powering of internet of things iot devices in smart cities this novel technology will combine a radiative cooler based on tridimensional 3d polymer metamaterials and a thermoelectric generator of 2d transition metal selenides the final proposal aims to produce a technology with the required maximum output power density 1 wm2 to power iot devices to accomplish this objective several steps must be undertakenthe development of 3d polymer metamaterials with excellent optical properties high solar reflection and high infrared emittancethe investigation of an efficient radiative cooler composed of 3d polymer metamaterials with enough cooling capacity to reduce the temperature to the required level the development of 2d materials of transition metal selenides with exceptional thermoelectric properties the engineering of highperformance thermoelectric generators based on the 2d materials studiedthe integration of a radiative cooler and thermoelectric generator in a single batteryfree technologycooled will be an excellent opportunity for the energy sector specifically in electricity consumption to explore new ways to save and recover energy using batteryfree and offthegrid technologies this ambitious proposal considers the exploitation of materials such as 3d polymer metamaterials and 2d transition metal selenides that will provide a huge benefit to the environment due to the generation of electricity using cold space without the use of batteries promoting renewable energy this proposal will allow the research of new investigation lines based on the development of devices of radiative cooler and thermoelectric generators formed by 3d and 2d materials respectively
biocultural transmissions of obesity across generations in the digital era

obicode aims to significantly improve the research performance of the university of coimbra portugal by implementing a robust interdisciplinary research line in the field of anthropology it will do so under the leadership of one of the most respected and highly cited researchers in the field professor stanley ulijaszek emeritus professor at the university of oxford 1 in anthropology qs ranking and director of the biocultural variation and obesity unit ubvoobicode will use the holism principle of anthropology to develop and test an integration model of the social origins of obesity within and across generations under the influence of the digital ecosystem including web 20 and translate it into policy and intervention messages other objectives include a implement a doctoral programme on integrative models of obesity
biomedai twinning

increasing demand for sophisticated clinical diagnostics makes current diagnostic capacities insufficient a potential solution lies in semiautomatic systems speeding up the diagnosis process artificial intelligence ai and machine learning seem to be very promising approaches to the automation of diagnostic systems however most academic ai systems are opaque black boxes that cannot be easily understood tested and certified also academic ai solutions are often hard to reproduce and their evaluation is insufficiently connected with clinical practice this motivates mu and mmci to team with two advanced partners ap mug and tub and establish a biomedai infrastructure allowing close cooperation of computer science and clinical experts to develop explainable trustworthy ai solutions both ap possess rich experience with ai solutions for healthcare namely processing large amounts of sensitive image and clinical data interactive machine learning methods with a humanintheloop and validating ai methods for healthcare the main body of the biomedai project concentrates on training computer science researchers at mu and clinical experts at mmci in the development of explainable ai methods based on highquality medical data and validated in a clinical setting concretely we propose organizing thematic workshops virtual training with handson experience in developing explainable ai tools and two summer schools one will be oriented towards basic research in explainable ai methods for image and clinical data processing and the other one towards the fair management of sensitive medical data furthermore the biomedai project will also increase the visibility and presence of the explainable ai research in healthcare at mu and mmci by training a pr manager responsible for presenting the research to various stakeholders and by training the existing project management staff at mu and mmci in writing grant applications for projects in eu and elsewhere