Dragon09/odtu_chatbot huggingface dataset:
co2 geological storage mineralization in mafic rocks

deep mineralization in mafic rocks has emerged as one of the most secures technologies for longterm carbon sequestration although smallscale validations have shown promising results the fracturecontrolled hydraulic properties of mafic rocks are still not properly understood which imposes significant uncertainties for industrialscale operation the objective of geomimic is to develop a better understanding of fluid flow and fracturematrix interaction to improve carbon mineralization efficiency in fractured mafic reservoirs in the outgoing phase at georgia institute of technology usa we will develop a comprehensive taxonomy of mafic rocks which will set the foundations for a screening framework to evaluate potential storage sites we will also provide new fundamental knowledge on transport properties and coupled hydrochemomechanical processes in fractured media using an innovative experimental setup for studying reactive fluid transport in fractured samples we will perform complementary numerical simulations for upscaling testing results to the field spatial and temporal scales relevant to carbon mineralization finally in the return phase at universidade da corua spain we will use for the first time a testing approach originally conceived to measure rock fracture toughness to assess coupled chemomechanical phenomena geomimic will contribute to the selection of suitable co2 storage sites and accelerate the design and operation of field validations which is urgently required as climate change intensifies this msca pf will provide me a unique opportunity to learn core technical skills in subsurface applications as well as key transferable skills to become an independent researcher i will take fully advantage of available facilities and support from my supervisors who are highly experienced experts in the subjectmatter of the project and are in an excellent position maximize the outputs of the project and benefit my future career
increasing responsiveness to citizen voice in social services across europe

the responsive project aims to enhance the responsiveness of europes social services to input from diverse citizens it wants to increase the impact of citizen voice on the approaches organisation and delivery of three types of social service disability and mental health child protection and services for youth at riskthe project will help social services and eu policy structures to better understand utilise and innovate with the knowledge experiences and ideas of citizens through six core objectives 1 analyse the normative legal policy and practice contexts at local national and eu level shaping how social services respond to the perspectives of diverse citizens 2 assess the range inclusivity operation and impact of official channels of citizen input in social services advisory groups consultations complaints evaluation mechanisms 3 analyse the range goals content and approaches of public actions by citizens to change social services protests campaigns social media social enterprise artistic production 4 identify the factors shaping changes by social services in response to the input of diverse citizens who use social services 5 codesign and test tailored innovations for citizens civil society groups social services and policymakers to significantly expand the utilisation of different sources of citizen knowledge by social services at different levels 6 promote uptake of innovations through dissemination of project results this qualitative research project will be conducted in austria denmark france poland portugal and romania by an interdisciplinary and multisectoral consortium of six research organisations two civil society organisations two social services departments and an international network of social work practitioners
multiscalemultiphysics modelling of ti alloy medical implants based on additive manufacturing technology

patientcustomized bone replacement implants with microstructural and mechanical properties tuned by design would constitute a major advance in the biomedical field classical metallurgical postprocessing eg annealing or hotisostaticpressing offer an efficient way to modify metallic alloys microstructure and resulting properties hence the combination of titanium alloys scaffold structures and additive manufacturing open promising avenues to produce custom implants that mimic natural bones and thus reduce the need for revision surgery moreover modelling tools across scales are mature enough to simulate microstructural evolution and its effect on material properties which could accelerate the design of highquality highfidelity affordable implants the aim of m3tiam project is to develop robust computational tools to predict the effect of postprocessing treatments on microstructure and mechanical properties of additively manufactured scaffolds structures in order to guide the design of novel tibased implants to do so multidisciplinary and multiscale theories will be combined into i a processsensitive structural module using phasefield modelling to predict phase evolution of biocompatible ti alloys and ii a structurescaffold geometrysensitive mechanical performance module using crystalplasticity microscale and finite element macroscale models to predict the mechanical behaviour of bulk material and scaffold structures the resulting computational framework will guide the design and optimisation of novel metallic implants from the level of their microstructure to that of entire scaffoldbased implants the expected impact include new insight into processmicrostructureproperties in metallic alloys new multiscale and multiphysics coupling and upscaling strategies accelerated adoption and deployment of additive manufacturing of scaffold implants for personalized medicine
a molecular basis of kinetoplastids sl transsplicing

kinetoplastids are unicellular eukaryotic parasites responsible for severe human pathologies such as sleeping sickness chagas disease and leishmaniasis kinetoplastids have diverged early during evolution and harbor many intriguing cellular and molecular peculiarities among these is their remarkably streamlined nuclear genome characterized by a high gene density and significantly divergent and specialized gene expression systems a main example of such divergence is the polycistronic transcription of all their genes producing long messenger rna precursors premrnas containing tens to hundreds of coding sequences these premrnas are dissected into monocistronic mrnas by sl transsplicing a process during which a spliced leader sl rna is intermolecularly fused to the 5end of all mrnas by the transspliceosome although this machinery is essential for gene expression the lack of structural information and the high divergence of its rna and protein elements have hindered a mechanistic understanding of how kinetoplastids employ sl transsplicing to generate their entire mrna transcriptome here we will use innovative approaches to provide the structural and mechanistic basis of sl transsplicing in kinetoplastids by using cuttingedge structural biology techniques and stateoftheart genetic and in silico tools by combining genome editing purification of endogenous transsplicing machineries highresolution cryoelectron microscopy aibased interactome approaches and novel in vivo assays we will reveal the mechanism of sl snrnp biogenesis the molecular basis for sl snrnp intermolecular recognition and activation by the transspliceosome and the central mechanism of transsplicing orchestrated by the highly divergent kinetoplastids transspliceosome the outcome of this research will transform our understanding of rna transsplicing in eukaryotes and will pave the way for developing new drugs that specifically target this unique and essential pathway
combating malnutrition in africa through diversification of the food system

various forms of malnutrition including hunger micronutrient deficiencies and noncommunicable diseases caused by unbalanced nutrition threaten food security in africa the project healthydiest4africa is based on the central hypothesis that diversification of the food system helps to combat all forms of malnutrition while minimizing its environmental footprint to this aim we will monitor dietary diversity in eight african countries representing different regions and develop target groupspecific metrics to measure the diversity of the food system and its health outcomes a productionoriented cluster of the project will explore environmentally sustainable options to diversity food production that specifically address the nutritional requirements identified for the target populations this includes the development of novel and biofortified crop varieties utilization of orphan crops with high nutritional value and diversification of cropping systems and food processing technology we will link these efforts with a consumptionoriented cluster exploring the consumer acceptance food safety and nutritional health effects of diet diversification options the best solutions that contribute to healthy diets via diversification while also promoting environmental health will be upscaled via a network of food system stakeholders in eight african countries healthydiets4africa will also devise communication and policy strategies to maximize outreach and impact of diversified food systems thereby the project will help to develop safe healthy and affordable diets by adopting a diversification strategy that will simultaneously reduce the pressure of food production on the environment
building active microled displays by additive manufacturing

the bambam project aims at reintegrating the display manufacturing industry in europe while enabling the era of the low energy led for this application microprinting of electrical and optical structures and active leds pixels led on cmos are the solutions implemented in bambam to get rid of the thin film transistor tft arrays controlling lcd and oled displays all of them being manufactured in asia in dedicated expensive enormous and energyintensive plants the new bambam technology relies on the unique active leds on silicon by aledia where each led has its own cmos driver that can be connected to a low cost substrate by printing of micron scale bussing on any substrate following microprinting by university of stuttgart of the xtpls ink containing qustom dots color conversion components on the led of aledia and their transfer on a low cost substrates by xdc and xceleprint the contact ink is microprinted to connect the active pixel elements to the substrates the 2 types of display demonstrators manufactured with this technology are then adjusted and operated by barco to achieve the best picture quality at the low energy consumption of the led for tv and video walls the solution is compatible with a high pixel count and low pixel size on flexible substrates manufacturing displays in europe with a low energy consumption along the life cycle of the product on low end flexible substrates and low cost is being prepared by aledia in its new european manufacturingline which is under construction with the help of partners from all over europe
a decentralized operating system

the dos project targets the challenge of developing and deploying distributed applications on largescale decentralized computing infrastructures dcis such that their dependability properties eg safety and security can be enforced by the foundational layers of the system stack in a policycompliant mannerwhile it is possible today to construct distributed applications it is challenging to ensure that their dependability properties are preserved endtoend in a dci consisting of a diversified set of compute nodes hosted in multiple administrative jurisdictions this situation is primarily caused by the limitations of existing system stack foundations a hardware dcis expose heterogeneous compute nodes that lack a unified interface to access isolate and manage them b os current oses lack mechanisms for resource management in a safe and secure manner for heterogeneous nodes operating across multiple trust domains as a result programmers rely on adhoc programming and deployment mechanisms which are not only prohibitively expensive to develop and errorprone but also cannot ensure compliance with the dependability requirementsthe dos project seeks to bridge this gap by pursuing a radically new hardwareos codesign by introducing1 a pluggable hardware component called isolation control unit icu that abstracts out the hardware heterogeneity while providing a minimalistic interface for resource management isolation communication and trust establishment2 a microkernelbased decentralized operating system dos that builds on icus to manage dcis as a unified dependable system substrate to enable policycompliant application deploymentoverall our work aims to empower programmers by providing a generic distributed programming framework on top of dos to concisely specify the dependability policies along with the application logic while our system stack transparently enforces these policies in decentralized environments
integrative aiaided inference of protein structure and dynamics

the life sciences community is living in exciting times during the past year artificial intelligence ai and in particular alphafold2 has contributed to advancing our understanding of protein behaviour by enabling structure prediction with accuracy comparable to many experimental techniques at a fraction of their time and costs however structures are only a piece of the puzzle to understand the mechanisms underlying biological functions we need to characterize the conformational landscape of proteins the population of relevant states and their pathways of interconversion furthermore we need to determine the effect of the environment in modulating structures populations and pathways as biological systems perform their functions in the complexity of cells rather than in the isolation of test tubes none of these objectives can be achieved by ai structureprediction methods alone in this proposal we will leverage the pis expertise in the field of integrative computationalexperimental techniques to develop apply and disseminate baies a modelling approach that will enable attaining these goals baies will make synergistic use of ai structural models experimental data and molecular simulations driven by accurate physicochemical models to characterize protein structure and dynamics we will demonstrate how baies can solve biological problems that exceed the capabilities of ai approaches such as the characterization of protein disordered regions and the determination of structure and dynamics in situ with a particular focus on the sarscov2 spike protein the outcome of this proposal will be a versatile accurate and efficient method that will push the boundaries of what can be achieved with ai structureprediction methods baies will be implemented in the widely used plumed library of which the pi is founder and core developer thus enabling its application to a wide variety of systems and biological problems beyond those envisioned here
researchers in the knowledge triangle

in 2006 sofia university ktrio coordinator as euraxess bridgehead organisation involved the newly established bulgarian network in the first researchers night since then it organised 14 european researchers nights and attracted several new partners from education research and industry the overall ktrio objective coincides with the goal of the msca citizens action to bring research and researchers closer to the public at large to increase the awareness of research and innovation activities and to boost public recognition of science and research education and to show the role of researchers for science and economy as well as the impact of researchers work on citizens daily livesthe strategic longterm objectives are fostering the interest of young talents to steam and research career nurturing a new culture of creativity scientific curiosity innovative spirit and responsibility to environmental preservation as well as enhancing the public readiness to engage in citizens science open science and open innovation activitiesthe consortium will pay due attention in all preevents and 202223 erns on the importance of the era and eea and their synergy for the european recovery dual transformation and knowledgebased growth the project will create greater understanding on eu policy and how ri contribute for wellbeing of people and sustainable development and highlight the common european efforts for bridging global challenges building green economy and digital single market smart cities and smart factories and take full advantage of clean technologies internet of things iot artificial intelligence big data and cloud computing the ri role in resolving present covid crises will be also highlighted the already established networking with teachers schools and stem centres will become wellstructured and will integrate many researchers in mentoring of students or events in secondary schools and partners universities
opensource proxy tool for co2 injection and storage modeling sustainable utilization of the norwegian continental shelf

geological co2 sequestration has gotten a lot of attention as a potential technical solution for decreasing human carbon emissions to the environment numerical reservoir simulation nrs has been conventionally used to model subsurface reservoirs and employed in uncertainty analysis optimization and decisionmaking one of the challenges associated with nrs is the computational efforts required to model complex reservoir systems therefore fast proxy models are suggested for quick predictions although several studies have been conducted about the co2 injection storage cis process there still exists a research gap in developing a fast tool for monitoring and performance prediction of a safe cis project this research project aims to develop an openaccess smart tool to predict the performance of cis with satisfactory accuracy in the mature fields of the norwegian continental shelf considering geochemical geomechanical gcgm aspects the uncertainty parameters will be the underground rock and fluid properties operational constraints of the co2 injection and gcgm parameters the target parameters include net co2 storage ultimate oil recovery from miscible co2 injection cumulative production of gaseous co2 the risk of co2 leakage through induced fracturesfaults should be considered by considering the effect of gcgm parameters on cis the effect of gcgm parameters on such processes will be useful in co2 leakage risk quantification making the proxy model more realistic machine learning tools such as pinn ann svr and xgboost will be applied to the simulated data set to digitalize the cis process efficiently the developed proxy model will be validated with a synthetic truth model lastly the novel proxy model will be added as a separate module to mrst an openaccess software this integration offers researchers and industry professionals an openly accessible fast accurate proxy model to streamline the initial evaluation of cis projects
novel targeted intervention to treat anemia

anemia defined as a decreased quantity of circulating red blood cells is a major source of morbidity and mortality affecting athird of the worldwide population as a functional component of erythrocytes hemoglobin iron is essential for oxygen storage and transport the liverderived peptide hepcidin is the master regulator of iron homeostasis during anemia the erythroid hormone erythroferrone regulates hepcidin synthesis to ensure the proper supply of iron to the bone marrow for red blood cells synthesis however we provided evidence that another factor may exert a similar function we identified a previously undescribed suppressor of hepcidin that is highly induced in the liver in response to hypoxia during the recovery from anemia and in thalassemic mice we demonstrated that this hepatokine is a potent suppressor of hepcidin in vitro and in vivo our aims is to investigate the therapeutic potential of its manipulation in murine models of anemia successful completion of this project will lead to the development of new therapeutic strategies for the treatment of various forms of anemias for which current treatments remain largely ineffective
towards a new era of representative democracy activating european citizens trust in times of crises and polarization

how can we conceptualize and empirically measure political trust and legitimacy beyond the usual survey question how much trust do you have in the parliament does the multilevel nature of european representative democracies require an identical level of citizen support at the regional national and eu levels how does social polarization on key policy issues of our times immigration climate change and gender inequality challenge the political trust in and legitimacy of democratic political systems and what can policymakers and civil society do to master these challenges acteu aims at finding answers to these questions pursuing two overarching goals in phase 1 we map and investigate persistent problems of declining trust legitimacy and representation in europe with a particular attention to the polarization of societies and the eus multilevel structures providing an innovative conceptual framework on political attitudes behavior and representation across europe we establish an original empirical infrastructure based on an innovative combination of methods and newly collected quantitative and qualitative empirical data focus groups experimental surveys web scraping in phase 2 these results will flow directly into the creation of a toolbox of remedial actions to enhance political trust in and legitimacy of european representative democracies in cooperation with a newly created civil society network youth democracy labs across 13 european cities and in exchange with political cartoonists cartooning for democracy we will develop contextsensitive solutions for all polity levels and some of the most polarizing policy areas and craft tailormade toolkits for both policymakers and civil society and the educational sector finally we deploy a differentiated dissemination strategy to maximize acteus scientific policy and societal impact in activating european citizens trust and working towards a new era of representative democracy
unraveling redox regulation in cancer stem cells as a potential therapeutic target for breast cancer

abstract breast cancer bc is the most frequently diagnosed cancer and the first cause of cancer death in women worldwide in many tumors including bc there is a population of cancer stem cells cscs characterized for unlimited selfrenewal and being resistant to conventional cancer therapies eventually leading to tumor relapses and metastases breast cscs bcscs show high cellular plasticity and are capable of shifting between a proliferative epitheliallike e state and a quiescent mesenchymallike m state this plasticity of bcscs facilitates their ability to initiate and grow primary tumors invade the basement membrane traverse tissue vasculature and ultimately colonize distant organs to form clinically significant metastases it has been recently proposed that redox regulation might play a significant role in bcscs plasticity and aggressiveness we hypothesize that the redoxregulated bcsc plasticity and the highly oxidative metabolism of ebcscs might be a vulnerability that could be exploited as a novel bc therapy we aim to characterize bcscs in terms of individual ros production transducing our breast cancer patientderived organoids pdos collection with geneticallyencoded redox sensors we will treat breast cancer pdos with conventional chemotherapy and inhibitors of pi3k to study changes in redox signaling occurring in the tumor finally we will attempt to target these cells and modulate their redox regulation in order to differentiate and eliminate them we expect to better understand the redoxregulation of bcscs to subsequently modulate bcsc redox state to target and eliminate these cells increasing conventional therapy effectiveness and decreasing the minimal residual disease and cancer spread in bc patients contributing to overall survival