Dragon09/odtu_chatbot huggingface dataset:
boosting stress resilience of arabidopsis by heterologous expression of a selenocysteine containing glutathione peroxidase

various environmental stress conditions in plants lead to oxidative stress and trigger damage to macromolecules causing losses in the crop yield to better cope with oxidative stress via boosting the redox potential and antioxidant activity the redoxboost project aims to ectopically express the selenoprotein glutathione peroxidase from chlamydomonas reinhardtii seccrgpx in arabidopsis thaliana selenoproteins entail a selenocysteine sec amino acid encoded by the uga which encodes stop codon in higher plants thereby selenoproteins are not present in higher plants but present in eubacteria archaea and eukaryotes including green algae most of the known selenoproteins were involved in antioxidant activity redox regulation and are more resistant to irreversible oxidation under severe oxidative stress than their cysteine homologs i hypothesize that heterologous expression of selenoproteins in higher plants might offer an excellent opportunity for harnessing plants against oxidative stress and hence develop more stress resilient plants glutathione peroxidase is one of the most abundant selenoproteins and known to protect cells from oxidative damage to achieve heterologous expression of seccrgpx in arabidopsis initially a dna assembly of whole sec biosynthetic pathway and seccrgpx will be transiently expressed in nicotiana benthamiana to get a swift assessment on the feasibility of ectopic seccrgpx expression in land plants then these seccrgpx dna assemblies will be stably transformed in arabidopsis redoxboost for the firsttime will integrate the coding mechanism for sec in higher plants biochemical and physiological studies will be performed in transgenic arabidopsis plants under different stress conditions to determine altered stress resilience in a changing environment where flooding waterlogging conditions and saline soils are becoming more frequent redoxboost presents a novel approach for development of stress resilient plants
integrated crosssectoral solutions to micro and nanoplastic pollution in soil and groundwater ecosystems

recent evidence of increasing accumulation of micro and nanoplastics mnp in soils and groundwater raise severe concerns by agricultural and water industries food manufacturers regulators environmental interest groups and citizens private and public sectors require detailed understanding of environmental and public health risks posed by mnp in soils and groundwater the plasticunderground doctoral network creates supradisciplinary intersectoral capacity for analysing the fate transport and impacts of mnp in soils and groundwater to develop solutions for reducing their environmental and public health risks supporting the ecs circular plastic economy strategy the central aim of the plasticunderground doctoral network is to deliver international scientific excellence through a holistic supradisciplinary and intersectoral research and training network on solutions to the emerging crisis of mnp pollution in subsurface ecosystems in soils and groundwater integrating knowledge across traditional discipline boundaries to benefit the public and private sectors the supradisciplinary research programme includes unique training opportunities for a cohort of 10 doctoral candidates dcs plus one individually funded through ethz ch and three funded through uob ru and polymateria ukri as associated partners in environmental and social science ecotoxicology soil science and aquatic ecology analytical chemistry agronomy data science and numerical modelling as well as responsible innovation method standardization for use in regulatory decision making and risk assessment the integrated training programme will prepare dcs with skill sets that are urgently required in agricultural water chemical and manufacturing industries environmental and regulatory agencies academia and the public sector and includes training provision by key stakeholders that will directly benefit from the training in this network
applicationdriven challenges for automata networks and complex systems

the acancos project aims to lay the foundation for a solid and internationally competitive research which is deeply rooted in a context of numerous prior collaborations but non structured in an unique network on a worldwide scale on automata networks cellular automata and modelling of complex systems by these discrete modelsacancos connects the scientific expertise and excellence of research groups from five countries two of them outside eu including experts from two distinct communities an and ca from two distinct orientations theoryoriented and applicationoriented and from three distinct disciplines computer science mathematics and biomedicinethe scientific objectives of the project area increasing the knowledge on the relations among the architectureproperties of the underlying graph of an and the dynamical properties of dtds defined by anb understanding the sensitivityrobustness of an to asynchronismc understanding an through the concept of intrinsic simulation ie the capacity of instances of the computational model to simulate the dynamical behaviour of other instances of the same modeld targeting and understanding wide classes of ca both exhibiting the complex behaviours of general ca and with decidable dynamical propertiese designing efficient decision algorithms for the dynamical properties describing the dynamical behaviour of dtds defined by the above mentioned classes of caf understanding the complexity of the problems regarding the dynamics of dtds defined by ca with both finite and infinite lattice g an for new conceptualisation and modelling of grn theoretical validations and applicative validations on real grnh new cabased methods for data encryptionsharing knowledge among different cultural and scientific environments will be crucial to achieve the scientific objectives of the project the partnership will be strengthened through summer schools and workshops
deformation and recrystallization mechanisms in metals

combining strength and formability metals are indispensable for modern life their properties firmly depend on processing typically involving a series of plastic deformation steps that introduce defects deep below the surface our current understanding of the evolution of defect structures is phenomenological and strongly limited by characterization tools being either limited to surfaces or not available at deformation levels relevant for metal processing drex strives to radically improve our understanding of structureproperty relations in plastic deformation and thermal annealing of metals by visualising and quantifying the structural dynamics in 3d with 100nm resolution within bulk metals this will be achieved by developing a unique multiscale fullfield xray diffraction microscope enabling timeresolved 3d strain and orientation mapping using pink beam diffraction imaging the time resolution of the microscope is expected to be 100 better than the existing diffraction imaging methods the unique experimental results will be used to guide and validate crystal plasticity and phase field modelsdrex opens a new way to address the unresolved questions of how metals get stronger during deformation and how this affects the annealing processes for the first time industriallyrelevant deformation levels can be quantitatively and systematically mapped in reallife conditions this will not only lead to a new scientific understanding but also provide unprecedented access to critical material parameters from the bulk that will refine material models more broadly the novel multiscale methodology and systematic approach of drex will be a gamechanger for studies of many hierarchicallyordered crystalline materials
dypha adding the dimension of time to cell culture

the current preclinical drug development pipeline is highly inefficient with 9 out of 10 drugs failing when first tested in humans of those failures between 69 and 81 is due to a lack of efficacy 5257 or safety 1724 indicating that the predictivity of currently used cell culture and animal models is not high enough while promising human cell culture models have arisen in the last decades eg pluripotent stem cell models spheroids organoids the environment of these models is too simplistic to reach their full potential and to translate certain responses to humans one of the important aspects missing in current cell culture is kinetics many processes in the human body have response times with resolutions of seconds minutes or hours in standard cell culture however such temporal resolution is absent because cell culture medium remains unchanged for typically 13 days so for kinetics scientists turn to animal models with relatively low translational success and high costs as an alternative complex microfluidic setups have been used to enable perfusion in vitro and demonstrated a significant amount of evidence that kinetics can improve the relevance of cell culture models despite the evidence typical cell culture biologists are not taking kinetics into account because the tools to control kinetics in cell culture are too complexwe solve this problem by starting from what cell culture biologists currently use a standard well plate we developed a fluidic adaptor that can be clamped on any 96 well plate and completely replaces the fluid in the well homogenously without disturbing the cell culture our goal is to develop a plugandplay peripheral system that integrates automated fluidics and microscopic readout in a fully controlled environment the ypha system the system uses fluidic adaptors that can be designed for different applications or well plate formats
human genomics without racism

how can we study human genomics without racism this project will develop an empirically informed philosophical framework to answer this question the project aims to produce a systematic diagnosis of how racism can influence human genomics research identifying the types of harm that unfold from it but might have been overlooked by scientists human genomics promises to reveal who we are and revolutionize medical diagnosis and treatment however geneticists and social scientists are increasingly worried that genomics research might involve racist assumptions unknowingly harming vulnerable populations it is key to assess how racism might coopt human genomics and how harmful it is but key knowledge gaps persist for instance discussions about racism in human genomics are rarely grounded on theories of racism these discussions focus on parts of the research ecosystem eg data collection and dont consider how racism can influence the whole knowledge production process the project aims to fill this knowledge gap by combining the conceptual apparatus developed by philosophers of science and race with empirical qualitative methods from the social sciences first we develop an epistemological account of two key methodologies in human genomics research characterizing how data models theories and experiments interrelate to generate genetic knowledge second we conduct a multidisciplinary literature review and interviews to identify potential racist assumptions in those methodologies of human genomics research analysing them in light of theories of racism third we examine the role of those assumptions in the generation of genetic knowledge identifying the types of epistemic injustice that follow from it and how they are overlooked by scientists our results will help scientists identify aspects of genetic research that require ethical attention to avoid racism
cavity control of quantum phases in nanophotonic cavities

the compass project acronym for cavity control of quantum phases in nanophotonic cavities delves into the theoretical exploration of inducing and controlling superconductivity and other manybody phases using nanophotonic cavities situated in the field of cavity quantumelectrodynamics cqed compass leverages the strongcoupling lightmatter interactions characteristic of hyperbolic phonon polariton hpp nanophotonic cavities offering a significant advancement over traditional fabryprot cavities hpp cavities promise unprecedented control over electronic structures potentially deepening our understanding of exotic superconductivity and introducing novel quantum states of matter this project necessitates the development of novel theories for strongly correlated materials embedded in nanophotonic cavities by merging solidstate quantum optics and manybody physics the action will be carried out by dr gian marcello andolina at collge de france under the supervision of dr marco schir the project integrates the researchers advanced expertise in quantum nanophotonics and solid state physics with the hosts mastery of manybody theory the multidisciplinary environment of the hosting institution will be pivotal for the success of the action for the growth of the researcher
erachair striving for excellence in forest ecosystem research

the objective of the project erachair striving for excellence in forest ecosystem research excellentia is to create an excellent interdisciplinary research group engaged in forest ecosystem research fer under outstanding scientist professor douglas l godbold at the faculty of forestry and wood technology ffwt mendel university in brno mendelu he will be a scientific leader guiding ffwt structural changes and transferring the faculty into a modern and accountable institution the structural changes include ie implementation of sustainable research innovation accountability in intellectual property rights and research data management and codification of scientific morality in practice and career guidance the fer researchers will focus on climatedriven change in european forests the sustainability of their functions methods to ensure forest stability in the following decades and the tree predisposition to death in addition the fer group will study the effects of predicted future climatic scenarios on central european forests excellentia will use the enormous potential of the training forest enterprise ufe masaryk forest in ktiny a longterm research site some of the research plots at ufte were established in 1973 and tree growth data has been measured continuously which has led to unique datasetsprof godbold will be head of the fer research group which will have the same status as the other departments at the ffwt this enables high autonomy in defining scientific themes and approaches in research excellentia will be built on the data availability previous research investments and the research programme developed at the ffwt
empowering africas point of care with cuttingedge graphene biosensing for rapid detection and interconnected surveillance of novel ebola virus outbreaks

this project proposes developing preclinical and clinical validation of a point of care poc biosensing platform based on multiplexed fieldeffect sensor technology based on graphene monolayers functionalized with specific and oriented recognizing biomolecules biogfet this technology will be used for the rapid and remote diagnosis of ebola infection by titrating specific biomarkers in peripheral blood samples to strengthen the diagnostic ability and offer a robust differential triage of patients serological biomarkers specific for the virus and biomarkers specific for infection severity will be analyzed and compared simultaneously figure therefore the final correlation between the achieved parameters will offer a robust and rapid triage of patients thus permitting to identify rapidly at the pointofcare potential ebola outbreaks and offering to physicians a more precise overview of the patient status before knowing the confirming laboratory results besides the proposed technology another key point of this device is represented by its iabased cloud networking in fact once processed and retrieved the locally achieved diagnostic results will be transmitted to a central server for example located in a general hospital processed by a custommade ia software and in case of necessity a health warning will be sent to all the interconnected platforms independently to their location
fatty liver disease and gutmicrobial alcohol production fatgap

obesity and subsequent nonalcoholic hepatic steatosis nafldnash are important determinants of morbidity and mortality being imbalanced between ethnicities living in europe however relatively little is known about the underlying aetiology that drives nafldnash and currently no treatment is available we and others have mapped alterations in gut microbiota to metabolic disease focusing on the bacterial functions fatgap builds on our work showing that 40 of obese humans with nafldnash are characterized by high production of the endogenous microbially produced metabolite ethanol derived from mixed acid fermentation of dietary sugars our pilot data show that catabolism of the dietary sugar fructose by small intestinal high ethanol producing bacterial strains relates to increased plasma levels of this metabolite while acidic byproducts of mixed acid fermentation lower intestinal ph thereby inhibiting the ethanol production proton pump inhibitors ppis increase ph indeed epidemiological data have linked ppi use with nafldnash i therefore hypothesize that gut microbial ethanol production from dietary sugar fructose is intestinal ph dependent and is driven by ppi use in humans first i will link gut microbial compositionfunction in relation to impact of endogenous genetic and exogenous medication use factors in microbial ethanol production with nafldnash in multiethnic prospective cohorts second we will explore how variations in intestinal ph affect kinetics by which labelled fructose is catabolized into ethanol and how this process is regulated by inhibitory strains and microbially produced metabolites third we aim to culture crisprcas modified alcoholdegrading bacterial strains which can degrade intestinal ethanol at all ph levels finally i will perform in vivo animal and human intervention trials with these identified engineered lead bacterial strains and study the effect in human nafldnash
unleashing a comprehensive holistic and patient centric stroke management for a better rapid advanced and personalised stroke diagnosis treatment and outcome prediction

umbrella is a holistic approach to progress reshape and benchmark the overall stroke care pathway and set new and improved standards of care in terms of primary and secondary prevention rapid access to treatments early accurate diagnosis stratification management and realtime monitoring therapeutic targets identification and rehabilitation recurrent stroke and related cardiovascular events this innovative approach will transform healthcare systems by improving and harmonizing professionals workflows in a more patientcentred digitalized and communicative manner umbrella aims to revolutionize stroke management by implementing a comprehensive approach that addresses gaps along the whole continuum of the stroke care pathway the key paradigm in the project is the multicentric synergistic umbrella strategy for local data collection harmonization and standardization along the entire pre in and posthospitalization pathway by establishing specific common data models cmds implemented in each of the 7 toptier european clinical centres umbrella will create a federated data platform uplatform where real world data rwdbased ai algorithms can be locally created and validated to advance personalised diagnosis risk prediction and treatment decisions in the acute and postacute phases of stroke the algorithms will be then trained in a decentralized manner through a federated learning infrastructure flplatform which preserve data security and privacy avoiding data centralization or exchange across centres but fostering collective aimodels training on the other hand standardized stroke management protocols and procedures will be created and implemented across the participating centres including the validated usage of advanced digital technologies as solutions to facilitate data collection visualization patient engagement monitoring outcomes integration and decisionmaking across the whole stroke pathway
computational mapping of electrocatalytic interfaces inoperando conditions

the aim of project camellia computational mapping of electrocatalytic interfaces is to derive fundamental insights predict and design electrocatalytic properties activity selectivity stability of nanoparticles with realistic sizes under operando conditions to achieve this goal a computational approach based on electronic structure methods density functional theory calculations in conjunction with newly developed artificial neural networktrained interatomic potentials is used coverage solvent and potentialcognizant static and molecular dynamics simulations are employed to develop a methodology for the construction of an opensource computational database collecting properties of electrocatalytically active interfaces under relevant experimental conditions these insights will be used to i elucidate the insitu nature of electrocatalyst active sites in the context of technologicallyrelevant chemical reactions ii bridge the gap between experimental and computational methods in addressing key processes hindering the development of active and stable electrocatalytic materials for successful deployment of fuel cells technology iii go beyond stateoftheart computational models based on welldefined extended surfaces towards realistic simulations of synthesized nanoparticles in a complex electrochemical environment
innovative processing technologies for biobased foamed thermoplastics

vital aims to generate fundamental knowledge and expertise that will underpin future european activities to substitute existing synthetic thermoplastics with those from biobased sources and in so doing enable the european the polymer processing sector to achieve a paradigm shift towards biobased alternatives for cleaner more climate neutral industrial value chainsthis will be achieved through the development of thermoplastic foaming processes combined with smart digital control approaches that will enable biobased thermoplastics to be processed both on traditional processing equipment for foam injection moulding and bead foaming as well as developing a globally unique 3d printing approach for foamed thermoplastics these processing technologies represent three valuechains in addition biobased thermoplastic mechanical recycling developments will underpin progression of engineering applications towards a circularity by design approachthe knowledge produced will be widely disseminated through various conduits including a learning factory that aims to give access to pilot scale industrial lines for each of the 3 value chains in order to reduce the risk for industry for adoption of the technologiesvital brings together a worldleading consortium consisting of industrial processors and equipment manufacturers along with enduser partners from the automotive electronics and marine sectors and leading research and technologies organisations from across europe the 6 use cases in vital combine to address the expected outcomes and create pathways to mitigate 75000 tonnes co2 eqyear from fossilbased materials through a conversion to biobased materials the consortium along with the advisory board will provide a multiplier effect to broaden these impacts with further applications and uses vitals disruptive approaches will help industrial adoption by addressing the costchallenges of biobased materials by optimising processing and material use