Dragon09/odtu_chatbot huggingface dataset:
insilico models for the design of mechanochromic functionalized polymers

the mama project aims at developing integrated computational approaches enabling to describe and design new mechanochromic materials in particular we aim at rationally design technologically consistent commodity polymers with smart and intelligent features such as mechanoresponsive elastomeric thermoplastic and thermoset polymers by the introduction of chromogenic species in the polymeric matrix in the form of mechanophore chromophores the inter or intramolecular interactions ruling the optomechanical behaviour of the chromophores within the polymer matrix and thereby the macroscopically perceived colour can be tuned by application of an external force and they will be the key issue to control by suitable design of the chromophores and polymers and to predict by theoretical tools in this respect the present project concerns beside primary fundamental issues such as the development of theoretical approaches for the description of photophysical processes in complex matrix the handling description and prediction of phenomena occurring from molecular to nanoscale in presence of an external stimulus such as pressionshearing or drawingwe will focus on mechanochromic luminogenic materials based on straininduced modulation of molecular covalent or noncovalent interactions affecting phenomena like excimer modulation or aggregationinduced emission at the molecular chromogenic scale the functionalized smart materials designed can find reallife applications ranging from anticounterfeiting systems for intelligent packaging smart coatings and textiles and optical indicators for the detections of cracks and fatigue issues in thermoset polymers the solid and active collaboration with leading experimental and theoretical chemists will allow for the efficient synthesis and characterization of the most promising demonstrators to exhaustively validate the computational tools and to further illustrate the technological relevance of these materials
empowering minds boosting research in citizen engagement and schools

innovation makes europe one of the most socially inclusive and developed regions of the world a significant public policy effort was put in place to foster science technology and innovation while contributing to solve societal challenges the main purpose is to unleash innovationled growth that also contributes to reinforce societal values and sustained development engaging society with science and innovation has reached a new paradigm with the horizon europe missions all sectors need to be actively involved in implementing the missions to reach the expected goals from schools to companies from scientific associations to ngos all will be called to contribute by cocreating new solutions products and processesthe new generations are of particular importance the innovators of 2030 are now being nurtured in schools supported by science centres museums and other nonformal education stakeholders however many still feel that those spaces are not meant for them in fact participants for these science communication activities are drawn from socially dominant groups we can also infer who is less likely to participate in science communication people from socioeconomically disadvantaged backgrounds and ethnic minorities dawson 2021 euembraces will address this challenge by engaging those communities while showing how the he missions can positively impact their lives euembraces will be developed by a consortium led by itqb nova a research and academic institution with extensive experience in outreach and event organization in partnership with cincia viva a national agency dedicated to scientific culture and i3s a research centre with a solid educational programme for schools and the public the project will bring together researchers and other stakeholders involved in the he missions and the public in more than 250 activities in 10 venues across the country with the support of research institutions and local authorities
developing a single access point for the market uptake of geothermal energy use in multivalent heating and cooling networks across europe

heating and cooling in buildings and industry accounts for half of the eus energy consumption making it the biggest energy enduse sector ahead of both transport and electricity approximately 75 of heating and cooling is still generated from fossil fuels while only 22 is generated from renewable energy district heating and cooling networks supplied by renewable energy sources can be a solution to all these issues offering a clean energyefficient and costeffective alternative to individual fossilfuel heating systems geothermal energy has the potential to play a vital role inside heating and cooling networks by offering zero emission stable base load supply and heat storage in the subsurface still geothermal energy supplied heating and cooling networks geohc networks cover a small niche of around 1 inside the european heating and cooling sector which is a result of primarily nontechnological market barriers saphea addresses the uptake of multivalent heating and cooling networks supplied by geothermal energy by creating a durable digital market uptake hub the hub contains toolboxes and guidelines to support stakeholders in early stage investment decisions and strategy planning activities and addresses market actors in districts or municipalities all across europe saphea will therefore combine adapt and expand existing tools eg hotmaps or enermaps considering a set of market ready and emerging technological concepts linked to geohc networks the users of the hub represented by local authorities community services and energy suppliers will be empowered by targeted trainings to draft development scenarios and roadmaps taking into consideration the specific geological and socioeconomic boundary conditions in their respective region dedicated communication activities will lead to the establishment to a lively network around the market uptake hub of public and private market actors as well as researchers beyond the lifetime of saphea
engineering soft microdevices for the mechanical characterization and stimulation of microtissues

as living beings move touch or grow the tissues within them are subject to mechanical stresses that act over minutes hours or days these efforts play a critical role at all stages of life from early embryonic development to homeostasis in adult tissues or disease progression mechanobiology has emerged in response to this realization and has led to many discoveries on mechanosensitive pathways in individual cells however we are still very far from relating the singlecell behavior to the response within a real tissue that contains mixtures of cell types which are organized in complex 3d structures in this project we will expand mechanobiology to 3d tissues by developing a new class of microdevices based on soft robotics and metamaterials for active mechanical forcing of spheroids and organoids we will couple this active forcing with multiscale cytometry methods that we have pioneered in addition to concepts from manybody soft matter physics this will allow us to understand how the rheological responses of individual cells add up to result in the global tissue rheology the outcome is a new paradigm to probe phenotypic changes eg the epithelialmesenchymal transition in a cancer model or the cellular differentiation and 3d organization in a maturing organoid conversely we will map how global mechanical stresses are transferred to individual cells that in turn respond to the forces locally this will allow us to engineer dynamical forcing strategies to guide the biological response of specific populations within a complex coculture when applied to developing organoids this will lead to strategies to mature individual cell types in view of using them for cell therapy in the case of cancer models we will identify mechanosensitive pathways that can be targeted by drugs to treat real tumors by working on the joint cutting edge of technology physics and biology we will manipulate in vitro models with real impact on human health
ore4citizens bringing offshore renewable energy to society

ore4citizens will bring science and research closer to society focusing on the education system and society at large through offshore renewable energy ore and steam to raise awareness and engagement on the contributions of research to the socioeconomic development and the societal challenges and strategic priorities in the basque country and europe the activities of the researchers night and researchers at schools supported by awareness campaigns and impact assessment will take place in the basque country with the following objectives 1 bridge the gap between ore science and perception of citizens students and pupils 2 increase social awareness citizen commitment and acceptance of scientific activity in the area of offshore renewable energies and their contribution to the eu missions 3 promote steam vocations among young people in particular towards disciplines necessary for ore to contribute to the value chain of the basque country and europe 4 create female references in science and promote the scientific careers of women and girls and attract talent showcasing real women that today have an important role in the scientific and technological development 5 show the value of scientific activities funded by the european union and how they contribute to society with special emphasis on the green deal 6 showcase the scientific and academic capabilities of the basque country in ore ri and training and its contribution at european scale kpis and means of verification and main numeric targets for ore4citizens objectives are set as well as a number of results contributing in significant scale to the expected outcomes and impactsa broad collaboration network of public institutions private entities research organisations and tertiary sector entities have signed their compromise to participate in the dissemination and development of the activities to maximise the impact while ensuring equal opportunities for the entire population
medieval placebo effect hope and belief in healthcare in christian southern europe 11001500

this project sets out to recover how hope and expectation for cure belief and trust configured late medieval medicine and the healing encounter the therapeutic power of these sensibilities is recognized today by the modern clustering concept placebo effect this integrative project will identify the intellectual social and cultural forces in the medieval past that articulated and applied the idea that health may be improved by evoking certain sensibilities in a triangular approach that examines ideas practices and organizing structures of healing activity i analyze the medieval placebo effect as a paradigmatic attribute of the healing of the period the project brings into dialogue current debates on the curative role of symbolic aspects of a therapeutic intervention with medieval perceptions of the souls impact on the body by so doing it will shed new light on the salient engagement of medieval healing practices with hope expectations belief and trust as critical elements of therapy it will demonstrate the pervasiveness of placebo effect sensibilities it will view the breadth of the engagement with the soulmind as a formative aspect of healing theory and technique and will show the dynamics between ideas practices institutions and networks in procuring hope belief and trust in late medieval southern european healing by looking beyond the term to the components that link the phenomena this historical project will enable the examination of a health system that is simultaneously alien to and part of the underlying legacy of european medicine and will offer a new path for thinking about these issues essential for effective healthcare medplaceboeffect will thus lay the groundwork for examining the ways these sensibilities are negotiated in the 21st century as healing practices face substantial challenges such as the growing distrust of medical services and the increasing difficulty of overcoming placebos in pharmaceutical research
equine polyclonal antibodies immunotherapy against covid19sarscov2voc

the highly contagious sarscov2 virus has generated an unprecedented pandemic with global dramatic public health and socioeconomic consequences need an urgent mitigation despite the progression of the global use of efficient vaccines an increased transmissibility of variants of concern voc is predominantly observed the reduced sensitivity of vocs to neutralizing response could become a serious obstacle for efficient vaccination in the absence of approved specific antiviral therapies for vaccinatednonresponders and the scarce antiinflammatory therapies passive immunotherapies with polyclonal immunoglobulins could be considered a part of the solution the main objective of epiccrown is to rapidly assess in multicentric clinical trials phase iia 16 patients and iib 400 patients an emaauthorized antiviral immunotherapy based on potent and broad equine neutralizing antisarscov2 polyclonal fab2 antibodies in covid19 patients including voc carriers in order to save lives and reduce the use and costs of critical care this therapeutic solution expect to reduce at least by 50 icus admissions and a highly significant mortality rate of treated patients to optimize the indications for the treatment potency and breath of fab2 against variants will be assessed in in vitro and in an animal model as well as prospective studies will respectively be done on immune assessment in treated patients and on mitigation of exacerbated immune responses in vivofabentech will coordinate epiccrown2 formed by outstanding experts in different project domains that include clinical trials hiss greece virology imas12 spain and immunopathology models and mitigation bnitm germany ird france most of them having already been working together in european projects importantly epiccrown2 will be integrated as part of both the large european trial network euresponse and the multinational european adaptive platform trial solid act
flexible and transparent platform based on oxide transistors for detection and readout of ionizing radiation

ionizing radiation presents a known health risk but if used controllably it can be the basis of relevant applications spanning from healthcare to civil security either for proper control of the dose received by patients in medical treatments or workers in radiation hazardous environments or for high resolution imagers proper quantification of the radiation doses is demanded the xray detectors market represented 25 bn in 2020 and flexiblewearable xray detectors are seen as breakthrough innovations for nextgen devices but to date there is not a detection technology offering a combination of conformability portability large active area small interference with the radiation received potential for high resolution and low costcomplexity by using the patented idea of oxide transistors as direct ionization radiation detectors coupled to the knowledge derived from erc starting grant trend in miniaturized oxide electronics using sustainable materials and processes fletrad proposes a platform tackling all those requirements and going beyond them it creates the breakthrough market opportunity of having a fully flexible and transparent radiation sensing platform using seamlessly integrated oxide transistors both for sensors and electronicsthe action intends to identify the most significant market opportunitiesapplications for the innovative platform fabricatevalidate a prototype attractive to stakeholders develop an ip strategy and a business plan including the detailed analysis of the identified business opportunities the work will be done at cenimati3n nova in a group pioneering oxide electronics with full support of the innovation research and impact strategy iris office at novafletrad has the support of keyplayers in ionizing radiationflexible electronics contributing to take our ideas into impactful market and societal needs
pilot line for photonicsbased medical devices

photonics is a key enabling technology in the realization of modern medical devices with applications ranging fromdiagnostics to personalised monitoring and therapeutics characteristic nature of both photonics and medical applications is high diversity therefore the more widespread use of photonics technologies in scattered ecosystems presents major challenges for the technological values chains comprising enduser companies and manufacturers in conjunction with highly regulated validation and production processes the timespan from the proofofconcept to product launch takes years causing high costs relying on existing pilot line concept photonmed aims at accelerated uptake of the latest photonics technologies in medical device applications photonmed project is applied to continuously renew the technology offering of photonics pilot line and to invite new members and countries to join the ecosystem within researchoriented photonmed project rtos and industrial parties can develop their technology offering while the enduser companies get matured demonstrators based on the latest research results
provable scalability for highdimensional bayesian learning

as the scale and complexity of available data increase developing rigorous understanding of the computational properties of statistical procedures has become a key scientific priority of our century in line with such priority this project develops a mathematical theory of computational scalability for bayesian learning methods with a focus on extremely popular highdimensional and hierarchical modelsunlike most recent literature we will integrate computational and statistical aspects in the analysis of bayesian learning algorithms providing novel insight into the interaction between commonly used model structures and fitting algorithms key methodological breakthroughs will include a novel connection between computational algorithms for hierarchical models and random walks on the associated graphical models the use of statistical asymptotics to derive computational scalability statements and novel understanding of the computational implications of model misspecification and data heterogeneitywe will derive a broad collection of results for popular bayesian computation algorithms especially markov chain monte carlo ones in a variety of modeling frameworks such as randomeffect shrinkage hierarchical and nonparametric ones these are routinely used for various statistical tasks such as multilevel regression factor analysis and variable selection in various disciplines ranging from political science to genomics our theoretical results will have direct implications on the design of novel and more scalable computational schemes as well as on the optimization of existing ones focus will be given to develop algorithms with provably linear overall cost both in the number of datapoints and unknown parameters the above contributions will dramatically reduce the gap between theory and practice in bayesian computation and allow to fully benefit of the huge potential of the bayesian paradigm
singleatom catalysis in photocatalytic investigations

in the light of environmental and energy supply crises new technologies which can satisfy mankinds energy demand in a sustainable way must be developed heterogeneous photocatalysis is one of the most promising fields of research in this regard as it allows to directly convert energy in sunlight to chemical bonds in molecules the process is conceptually similar to the photosynthetic process in plants but a semiconductor is used to absorb the light and catalyze the reactions in reality a socalled cocatalyst on the semiconductor surface is necessary for proper function and this usually means depositing noble metal particles on the surface exactly how such nanoparticles work is usually elusive and this makes the rational design and optimization of photocatalysts difficult the high costs of the precious metal is also a major roadblock making the upscaling of a labscale photocatalyst economically unviable if we can better understand the role of the cocatalyst we can develop new strategies to reduce or even replace this material with more economical alternatives in this proposal we intend to apply the concept of singleatom catalysis to heterogeneous photocatalysis single noble metal atoms such as platinum rhodium or iridium will be deposited directly on semiconductor single crystal surfaces of titanium dioxide and hematite iron oxide with a precisely known structure highly sensitive surface science methods including scanning probe microscopy as well as spectroscopic and spectrometric techniques will be used to characterize the local structure of the active site and relate it to the catalytic function the project combines the expertise of the host group in the synthesis and characterization of single atoms on metal oxides and the applicants practical knowledge of uhv photocatalysis and will ultimately establish clear structureperformance relationships in order to facilitate the rational design of economically viable photocatalysts
evolution of the genetic architecture of quantitative traits

a major challenge in evolutionary biology is to understand and predict the evolution of phenotypic traits influenced by many genes aka quantitative traits which represent the majority of adaptive traits for this we require an accurate knowledge of the genetic architecture of a trait here defined as the statistical distribution of the effects of the genes on the phenotype however it has not been possible to firmly check theoretical predictions against empirical data due to a lack of method to accurately infer genetic architecturein this project i will develop novel statistical methodology to accurately infer the genetic architecture of traits in the wild by leveraging the statistical correlation between neighbouring sites in the genome or linkage disequilibrium using the power of a new linkedread sequencing to obtain information on recombination i will apply this novel methodology to study the link between the genetic architecture of the traits and the evolutionary regime ie characteristics of selective and neutral factors first i will perform an indepth study of the link between selection and genetic architecture on a longtermstudied wild population of common lizards second i will apply my method to analogous traits across more than 20 species to infer their genetic architecture and use knowledge about the evolutionary regime and phylogenetic context to assess the influence of those components on the variation in genetic architectureby combining novel methodology with analysis within and across species this project will provide a firm empirical basis for thinking about genetic architecture in turn this understanding of the expected distribution of the gene effects depending on the evolutionary context will improve our ability to forecast adaptation predict phenotype from genomic data and locate genes in diverse fields such as evolution agronomy conservation and human health