Dragon09/odtu_chatbot huggingface dataset:
electrified ammonia cracking in structured reactors

in view of the ongoing energy transition solutions for the transportation and storage of hydrogen are urgently needed ammonia is recognized in principle as the best hydrogen carrier but a bottleneck is represented by the lack of efficient industrial technologies for ammonia decomposition cracking a necessary step for hydrogen recoverycapitalizing on the previous erc projects of the pi intent adg 2015 instant poc 2020 incant proposes to develop an innovative reactor technology to valorise the potential of ammonia as energy vector via its cracking to hydrogen the novelty core of incant is an electrified catalytic reactor configuration which features ohmic heating of highly porous cellular internals eg opencell foams 3d printed pocs as demonstrated in the parent adg erc project intent for the case of another endothermic reaction ie methane steam reforming this solution provides a twofold advantage in that i the high porosity can be packed with a large amount of catalyst particles which is key to increase the conversion efficiency of the relatively slow nh3 cracking process ii the electrically and thermally connected cellular internals enable a very effective and uniform supply of the endothermic heat of reaction across the catalyst bed through the joule effect heat generation due to the passage of electric current in a conductor with thermal efficiencies approaching 100 the goal of incant is to adapt and demonstrate the same concept for the ammonia cracking reaction developing a prototype nh3 reformer which will revolutionize the technology associated with the use of ammonia as hydrogen carrier it will in fact enable the ammonia decomposition in compact intensified structured reactors which is optimal for distributed applications if using electricity from renewable sources wind solar this concept results in releasing hydrogen with virtually no co2 emissions
linked userdriven multidisciplinary exploration network

the lumen project is a groundbreaking initiative aimed at revolutionizing crossdomain collaboration and discovery processes in the fields of mathematics maths social sciences and humanities ssh earth system es and molecular dynamics md and beyond leveraging the successful gotriple platform renowned for its service to the ssh community lumen seeks to extend its functionality to foster interoperability across scientific domains through interdisciplinary solutions spanning all four domains lumen will redefine the process of discovery with radical innovations simplifying initial research phases and facilitating access to advanced aipowered tools for researchers by expanding existing discovery platforms in the ssh and maths domains and developing new platforms for other domains lumen aims to fundamentally transform eosc services promoting innovative and customizable solutions for data discovery attracting new users and fostering open science principles the project will also drive multidisciplinary cooperation through collaborative platforms and onboard new scientific communities into eosc providing them with the necessary tools ultimately lumen seeks to revolutionize how research outputs are created shared and utilized across scientific domains enhancing scientific discoveries fostering interdisciplinary collaboration and promoting innovation and trust in european scientific research
the russian automotive industry 19912020

since the fall of the ussr the russian automotive industry has undergone enormous changes the latter is inextricably linked to western industrial groups the present study is designed to examine the transformation of the russian automotive industry since 1991 specifically taking into account the context of international relations this project will investigate the policy of foreign investors in the russian market the factors influencing its attractiveness for fdi and the impact of international economic sanctions on the automotive industry in russiathe action is interdisciplinary by drawing on the economic history economic geography economics and the international political economy it has the potential to enhance the knowledge of the interactions between the economic system the political situation social dynamics and cultural values since it focuses on the automotive industry of the country over a 30year periodthe methodology combines two methods of data gathering the examination of written and graphic sources public and private archives public investigations reports and press and interviewing the modern methods of data analysis and communication such as creating a mysql database and data parsing through specialized software are still rare in the historical field the potential impact of the generated knowledge will allow to better understand the formation state and structure of the automotive industry in the postsoviet russia and the role of different actors the state the russian and foreign car manufacturers and the investors in the hierarchy of relations today the russian automotive industry is inextricably linked to european industrial groups the indirect results include the process development the engagement with the professional community and the activities with the aim to stimulate the competitiveness of the european industry in russia by focusing on the investment interests of the relevant european endusers
measuring all cells of drosophila development to reconstruct differentiation trajectories and understand the language of the genome

how the genome regulates the differentiation trajectories that instruct a single fertilised egg to develop into an adult organism is a longstanding question in biology here highthroughput spatial transcriptomics will be leveraged to virtually measure all cellular states of the drosophila melanogaster the entire tenday development of the fruit fly will be sampled with a fourhour interval where the spatial gene expression of 1600 genes will be measured in a serially sectioned fly at single cell resolution the sections will subsequently be reconstructed into 3d models this approach enables wholebodybiology where a complex measurement is taken of all cells of an entire individual and is here used to densely sample developmentin order to reconstruct differentiation trajectories the 3d fly models will be anatomically aligned between timepoints so that cellular states can be linked and transitions in transcriptional profiles can be studied the spatial information will substantially simplify this challenge because progenitors and putative progeny will be in the same anatomical compartment this will generate a 4d developmental model of the fruit fly that links cells cell types anatomy and differentiation in space and timethe 4d developmental fly and the cell type trajectories will serve as the manifold onto which single cell transcriptomics rnaseq and chromatin accessibility atacseq data will be integrated then gene regulatory network inference tools can be used to identify transcription factors and enhancer sequences that drive lineage decisions investigating the enhancer sequences will reveal how cell type specificity is encoded and how the arising complexity is regulated during development this project will give a unique insight into development patterning and the emergence of cellular diversity from the genome and will form an important proof of concept to approach development in other larger organisms such as mice and humans
clean and efficient microchcp by micro turbine based hybrid systems

fit4micro aims to develop a hybrid microchp unit running on sustainable liquid biofuels application is foreseen at multifamily houses and more specifically at remote andor offgrid locations the innovative system is based on a double shaft micro gas turbine mgt combined with a novel humidification unit this unique combination leads to very high electrical efficiencies 40 as well as a very flexible heatpower ratio low emissions are achieved by the application of flameless combustion and a high ghg emission reduction is obtained by using truly advanced red2 compliant biofueluse of a mgt as coreunit in fit4micro is ideal for domestic usage as the system has very low noise output and is vibration free furthermore rapid response times and fuelflexible operation make this the ideal base for a highly efficient hybrid chp system resilient to changes in local fuel and power markets empowering the consumers through digital solutions furthermore the fit4micro unit will be integrated with a compression heat pump an innovative adsorption and a solar pv system through the dc power system avoiding transmission losses a smart control system will be developed to enable optimal performance at all times efficient fuel distribution and offgrid operation of fit4micro is enabled by using sustainable liquid biofuels these fuels will be produced from biomass residues and organic waste streams through fast pyrolysis followed by mild hydroprocessing yielding a hydrotreated pyrolysis oil hpo in fit4micro the objective is to widen the feedstock basis and lower the fuel costs by i using residues as the primary feedstock and ii by limiting hydrogen consumption by application of mild processing conditionsbesides technological development work the fit4micro project includes specific activities on socioeconomic and environmental sustainability public perception gender dimensions market aspects the regulatory framework policies
innovative and sustainable carbonbased composites for high temperature sensible thermal energy storage

although affordable solutions exist to store and recover heat from low temperature sources the high temperature ones 550 c such as the concentrated solar and waste heat from high temperature energy intensive industries remain challenging since efficient and affordable storage materials are scarce the waste heat from these industries is huge and corresponds to 16 122 terawatt hours of the total heat consumptionyear in europestoreheat targets the investigation of an outstanding and novel family of high storage capacity materials namely calcium carbidebased composites 3c for high temperature heat storage 3c is produced at much lower temperature 1000 1200 c than the current solutions 18002500 c based on silicon carbide sic ceramics from fossil source coke mainly 3c is synthesized by carbonization of calcium rich biochar and have not yet been mentioned in the literature neither for high temperature storage nor the mechanism of their formation explored preliminary synthesis attempts showed a high temperature storage capacity for 3c of 20 higher than that of sic while consuming much less energy and using sustainable resources for its production the scientific breakthrough lies on the counterintuitive and pioneering approach proposed to combine and stabilize the hierarchical carbon and metal species both from biochar to take advantage of their respective high thermal conductivity and heat capacity at high temperature this seemingly winning combination key for effective heat storage has never been done before to achieve this objective i propose an ambitious research approach combining insitu and dynamic experimental methods and modelling to unlock the mechanisms governing the chemical phases assemblage and stabilization of 3c the storage performance will be evaluated and optimizedthe findings will push a way beyond the frontier of knowledge and broaden research opportunities in scientific communities interested in energy storage
neuroadapt a patientcentered innovative training program for the future generation of brain research leaders

the overall objective of neuroadapt led by the royal college of surgeons in ireland is to train and there by equip the next generation of researcher leaders with the scientific and transferable skills to catalyse their careers both in academia or beyond and develop much needed innovative safer and more effective therapeutic approaches to brain diseases one of the most pressing challenges in european healthcare tailored specifically towards individual patient needs fellows will work within futureneuro a worldleading science foundation ireland sfi centre bringing together irelands leading researchers in the field of neurodiagnostics neurotherapeutics and digital health in an internationally unique manner futureneuro links innovative neurodiagnostics and neurotherapeutics development with a national digital health infrastructure and a nationwide clinical network neuroadapt will build on the excellent research environment and expertise of the futureneuro centre providing a fertile training ground for the fellows researcher training will include a unique combination of handson research training placements in industry and hospital settings and courses and workshops on scientific industryrelated and transferable skills facilitated by the academic and nonacademic composition importantly with its strong focus on industryrelated diagnostics and drug discovery programs neuroadapt will facilitate the implementation of novel discoveries into clinical use adhering to the cofund principle of individualdriven mobility neuroadapt applicants will freely choose according to their individual needs from a wide range of research fields host organisations supervisors and secondment organisations neuroadapt fellows will work in highly interdisciplinary projects sharing expertise and adding value across the neuroscience research landscape proposals can be submitted around the three themes of diagnostics therapeutics and digital health
farmnoise aibased optimization to minimise tidal turbine noise and the impact on marine fauna

tidal energy presents a promising solution for addressing the growing demand for sustainable energy extensive research efforts have been dedicated to refining individual turbine efficiency and optimizing tidal farms to maximize energy output however as tidal farms scale up theres a consequential rise in noise emissions that can prove detrimental to underwater ecosystems this issue necessitates a dedicated focus on the development of noisereducing farms while tidal turbine design has to date been focused on energy production fatigue load and lifespan of the blades and paid little attention to the acoustic footprint and subsequent effects on the environment it is urgent to design silent energy farms to reduce the noise impact on local faunafarmnoise intends to 1 characterise individual tidal turbines and construct simple models surrogates for their representation 2 provide mechanisms for the acoustic controlminimisation we will characterize tidal turbines and farms using computational fluid dynamics and large eddy simulations based on the simulations and the extracted physical insight accurate surrogate models for turbines and associated acoustics will be developed to enable optimization of farms that minimize noise while ensuring energy production machine learning based reinforcement learning methodologies will be used to optimize and control the tradeoff between energy production and noise emission compromises between energy and sound generation will finally be reached automatically for specific sites taking into account ambient conditions and local faunathe expected research results will not only provide theoretical and methodological support for the design and silent operation of large tidal farms but also promote the ecological sustainability of the tidal industry the outcomes and impacts will be maximized and disseminated to various communities by peerreviewed articles conferences workshops and outreach activities etc
spatial analysis of cancer evolution in the tumour immune microenvironment

the introduction of immune checkpoint therapy for nonsmall cell lung cancer nsclc has improved clinical outcomes however due to primary or secondary resistance only a minority of patients show long term responses leading to exploration of a multiplicity of new agents and combinatorial strategies due to lack of biomarkers that can predict response many patients are submitted to treatments that will not have clinical benefit a thorough understanding of the biological processes causing resistance to immunotherapy in nsclc could facilitate informed personalised therapy choices this requires a multifactorial assessment of the tumour microenvironment a complex and dynamic milieu encompassing the majority of tumourhost interactions spacetime brings together interdisciplinary expertise to achieve a superior understanding of the spatial and temporal tumourhost coevolution and drive translation into predictive biomarkers for precision immunotherapy we will integrate spatial proteomics transcriptomics metabolomics and glycomics to analyse patient biopsies from early stage to metastatic disease complemented with tissues from representative mouse models to cover the developments early after tumour initiation environmental and systemic factors that may influence this coevolutionary process will be included to identify potential risk factors for therapy resistance exvivo in vitro and in vivo assays will bring functional understanding of immune resistance mechanisms and identify key cellular interactions and therapeutic targets this will be brought together by advanced computational approaches to define spatial signatures that will lead to a limited panel of potential prognostic andor predictive markers for immunotherapy supported by engagement of key stakeholders spacetime will pave the way towards development of a spatial signature test for patient stratification to sidestep immunotherapy resistance and improve survival for nsclc patientsthis action is part of the cancer mission cluster of projects on understanding tumourhost interactions
automated enriched digitisation of archaeological lithics and ceramics

objects connect us to memories and experiences they possess biographies that reveal their human relationships this is why archaeologists focus on material culture gathering countless archaeological finds to preserve what we can learn and the stories they create for current and future generations archaeology unlocks these stories enabling objects to speak about their origins uses and evolution they offer insights into technology daily life relationships the environment and human history pottery and lithics are common forms of archaeological evidence holding crucial information however documenting and classifying these finds is labourintensive it limits our understanding of these objects while digitisation campaigns have been undertaken they remain complex timeconsuming and costly leaving millions of artefacts inaccessible automata will transform this process by enabling lowcost and timeefficient digitisation using aiaugmented robotics and sensors automata will create 3d models enriched with archaeometric data providing a practical and costeffective solution for digitisation robotic tools with newly developed ai methodologies will improve the digitisation process of visible and nonvisible properties of archaeological finds enhance the robustness and efficiency of 3d digitisation improve surface appearance acquisition and integrate 2d representations this approach streamlines data acquisition aided by humanai collaboration and in turn the collection of big wellidentified data will empower the development of ai models this costeffective technology will democratise access to digitisation benefiting museums and smaller institutions aid preservation methods and restorers work and foster inclusive knowledgesharing via a dedicated crowdsourcing platform finally the data collected by automata will ensure seamless integration of data into the eccch cloud and facilitate data sharing and innovative usage strategies by ccis
climate metamorphosis for urban postdisaster recovery

in an era of increasing urban vulnerabilities to disasters this project stands as a beacon of innovation and action cities across the globe including those within the european union face increasing number of crises from climatedriven catastrophes to seismic shocks these events disrupt economies societies and scar the environment calling for more than just a return to the predisaster state
evolvable and rapidly adaptable monobodies a broadspectrum antiviral platform

with progress in globalization expansion of human populations into natural habitats and aggravation of climate change comes an increased risk of viral outbreaks as demonstrated by the covid19 pandemic not being prepared for such events has devastating consequences on public health society and the economy evamobs will improve preparedness of the european union eu for the next viral outbreaks of pandemic potential by developing a platform for the discovery development production and validation of evolvable and rapidly adaptable antivirals these innovative medicines will be based on small humanderived proteins called monobodies mobs as mobs can be engineered to have high binding affinity for virtually any viral protein this platform can be easily adapted to a broad range of viruses including newly emerging viruses and viral variantsto demonstrate the capacity of this platform it will first be applied to four pathogenic viruses with epidemic andor pandemic potential influenza a sarscov2 respiratory syncytial virus and zika virus deeplearning and computational design tools will allow generation of tailormade mobs with cryoem elucidating the molecular details of their binding interaction simple bacterial expression of mobs the development of a semiautomated highthroughput screening platform for evaluation of the mobs stability and target affinity and streamlined in vitro and in vivo preclinical validation will allow rapid development and selection of stable and potently neutralizing candidates the mob with the best preclinical indicators will then be tested in a phase i clinical trial after implementing a stable formulation and gmp production the optimized platform can then be adapted to other viruses therefore evamobs provides an innovative robust and flexible platform for antiviral biologics development as well as a diverse portfolio of validated drugs strengthening the eus pandemic preparedness
polyionic liquids assist diatomic catalysts in achieving highly efficient co2 conversion in lico2 batteries

the rising co2 emission has underscored the need for innovative approaches toward co2 management lico2 batteries provide a promising strategy for direct co2 fixation in energy storage devices with a high theoretical specific energy of 1876 whkg highlighting in effective co2 management a key challenge in lico2 batteries is that the sluggish co2 conversion including co2 reduction reaction crr and evolution reaction cer in cathode seriously deteriorates battery performance in this project we propose an integrated cathode design with combined preactivator molecules and bidirectional atomic catalytic materials in cathode for improving co2 conversion efficiency polyionic liquids pils with high co2 affinity good compatibility to lithium salt and wide electrochemical window are designed with amine groups as preactivators in cathode for achieving co2 activation before electroreduction on catalysts the diatomic catalysts dacs with highly active dual metal centres and theoretical 100 atom utilization are screened out as bidirectional catalysts for improving crrcer simultaneously such pilsmodified dacs will be 3d printed into selfsupporting integrated cathode with designed open channels and interconnected conductive skeleton to grant enough solid products support and effective transportation of co2 li ion and electron in cathode consequently lico2 batteries with long cycle life over 1000 cycles and high energy density 500 whkg or above will be targeted in combination with in situ electrochemical characterizations and dft calculations mechanism of co2 conversion in designed cathode will be clarified in this projectresults from this project will inspire cathode design of lico2 batteries on preactivator and catalytic conversion beyond direct electroreduction on catalysts it will broaden the perspective on atomically dispersed catalysts and promote the development of energy storage devices accompanied by co2 utilization