Dragon09/odtu_chatbot huggingface dataset:
converting n2 directly into amines through multimetallic catalysis

nitrogen containing molecules amines are ubiquitous in our daily lives the n atoms in these essential compounds originate from dinitrogen n2 but often undergo a vastly energy inefficient route to be incorporated into molecules hence it has been a longstanding goal to develop catalysts that enable the direct conversion of n2 into amines to provide an efficient and sustainable alternative for amine synthesis while various metal complexes enable the stoichiometric conversion of n2 into amines a key problem preventing catalytic conversion lies in the incompatibility of the required harsh reductants with the reagents for making nc bondsin this project i aim to develop welldefined molecular catalysts wherein multiple metals work together to directly convert n2 into amines to this end i will develop innovative ligand platforms based on rigid core scaffolds designed to bind 2 3 or 4 metal centers in close proximity in a systematic combined experimental and computational study i will obtain fundamental understanding on how aspects like metalmetal separation number of metals reduction state or accessibility of metal sites affect the cooperative binding and activation of n2 this will enable me to identify design parameters of multimetallic complexes that enable nc bond formation at metalbound n2 without requiring harsh reductants with this information i will rationally design multimetallic complexes that enable the direct electrocatalytic conversion of n2 into amines my strong background and track record in ligand design n2 activation multimetallic coordination chemistry and catalysis puts me in a unique position to realize the highly ambitious goals of this project the n2convert project will provide a new paradigm on how we look at n2 from an inert molecule to an abundant cheap and nontoxic natom building block in the long run it will lay the foundation for a sustainable alternative to the current wasteful way of making amines
ecoinnovative technologies for improved nutrition sustainable production and marketing of agroecological food products in africa

innoecofood aims to establish innovative production business ecohubs and improve local aquaculture farms using ai and iot in six african countries to support euau markets and trade innoecofood will train rural farmers youth and women to innovatively produce and process nutritious aquaculture catfish and tilapia bluegreen cyanobacteria spirulina and insect value chains that will be processed into certified marketable human food products and feed this farm to fork approach reaching trl7 will be achieved by using climate smart sustainable local resources innovative chilling and drying processes using renewable energy reduced water consumption and circular systems within the ecohub by an experienced multiactor consortium comprising 20 partners in europe and africa and rural communities the specific objectives are to conduct scoping of aquaculture practices living labs and establish four sustainable and innovative agribusiness rural ecohubs using renewable solarwind energy for the production processing and marketing of aquaculture value chains fish and spirulina and insects in diverse african countries wp2 to address au and eu green deal and trade optimize the production of ecofarmed fish spirulina and insects sustainable feeds and postharvest processing technologies using sensors ai and iot technology in aquaculture ecohubs and living labs sites wps35 scope suitable plant products up cycle fish waste nutrients and make novel products from fish and coproducts spirulina and insects by solar powered drying and extrusion processing using ai sensors and iot wp6 validate nutritional and sensory quality microbiological and chemical safety consumer acceptance life cycle analysis impact and implement certification schemes for fish spirulina and insect processing and products for consumption marketing and trade wp7 create a database and train locally 120 youth and 120 women in the ecohubsand 5000 rural workers wp8
practical magnesium batteries enabled by 2d crystalline polymerbased artificial electrode skins

the intrinsic limitation of liion batteries ie cost safety and sustainability is imposing a strong demand for nextgeneration battery technologies based on resourceabundant elements among the top candidates for this purpose are mg batteries however stateoftheart mg batteries still encounter numerous problems eg low coulombic efficiency energy efficiency energy density and cycle life and are far from mature to satisfy practical use the disappointing performance of mg batteries is dominantly assigned to the problematic interfacial charge transfer governed by the chargedense mg2 at both the anodes and cathodes here i propose the groundbreaking concept of using moleculecustomisable 2d crystalline polymers 2dcps as artificial electrode skins to regulate the interfacial mg2 transport and enable practical mg batteries relying on dynamic imine and sp2carbon linkage reactions ultrathin 2dcps with varying porosity dense nucleophilic groups and stable polymer skeleton will be synthesised as the artificial electrode skins for mg batteries multifunctional 2dcps are expected to promote practically useful mg anode strippingplating chemistry and highvoltagehighcapacity cathode chemistries by forcing mg2 desolvation and mg2anion dissociation allowing fast and selective interfacial mg2 transport and inhibiting the parasitic reactions associated with the electrolyte an integrated approach combining atomlevel structure investigation mg2transport study and electrode chemistry evaluation will establish the molecular design principle for the optimal electrode skins ultimately with artificial electrode skins the prototype configurations for practical mg batteries will be formulated offering intellectual property for future battery products besides the acquired iontransport knowledge will hold promise in many other applications such as ion sieving capacitive deionisation and salinity gradient energy harvesting
eastern central europes earliest shelters

from penthouses to igloos homes are a cornerstone of human society deeply entrenched in our evolutionary past their staggering array of architecture simultaneously shape and reflect our sociocultural traditions structure our local economies and have enabled us to inhabit all four corners of the earth yet surprisingly little is known about their earliest formspalaeolithic shelters this is because no systematic attempts have been made to target their early archaeological signatures home will search for a diversity of palaeolithic shelters during the late pleistocene through informed systematic surveys and excavations of archaeological sites in eastcentral europe a place where early mammoth bone structures suggest precocious shelters but where the record remains inconclusive this projects goal is to uncover and assess a variety of palaeolithic shelters with the aim to understand the diverse ways that humans lived and survived in some of the coldest harshest climates the objectives are to 1 recognize the factors that influence the location and design of forager shelters through a goaldirected study of ethnographic documentation 2 develop new geophysical methods to identify openair shelter residues in largescale archaeological surveys 3 determine how one of the earliest unambiguous built structures a mammoth bone structure was used with the latest techniques in archaeological science 4 compare and contrast how these openair shelters relate to a regional cave occupation through targeted excavations the results will elucidate how our ancestors adapted to past climate change and expanded into new biomes ultimately leading to our ubiquitous population of the earth in addition to its significance to archaeology and anthropology the outcomes have implications for theories of culture evolution and human resilience by helping us understand the physical building blocks of early societies
trade unions and workers health

the core purpose of uhealth is to assess the relationship between trade unions and workers health taking a broad definition of what trade unions are and looking at several health indictors including physical and mental health and wellbeing this innovative project will assess the specific dimensions the underlie such a relationship within three work packages wp wp1 will employ several longitudinal british birth cohorts to examine the extent to which trade union membership and trade union presence within the company as well as changes in the collective bargaining structure over the life course are associated with changes in health outcomes wp2 will compare five countries germany korea the united states the united kingdom and japan using specific panel homogenised datasets to better capture how the presence of a trade union within the workplace could impact health and wellbeing both directly and indirectly through job satisfaction gender pay gap precarious employment and flexible work arrangements specific attention will be given to national collective negotiation structures for both packages sensitivity analyses will test model assumptions and longitudinal analyses and negative outcomes and propensity score matching will be used to assess causation and intervention selection finally using a qualitative comparative approach of the freight transport and cleaning sectors in the united kingdom and belgium wp3 will pay attention to the way trade unions organisations are involved in health and safety committees and how workers health is an object of collective negotiation across different types of national and international structures that vary across countries and sectors uhealth will result in a setchange in research on the work and employment determinants of health providing evidence for research and policy communities to reduce health inequalities
photoelectrochemical co2 reduction with surface immobilized mnnhc complexes

the finite nature of fossilfuel assets and the drive to dwindle the global carbon footprints are escalating research into alternative fuel and chemical production technologies one of the most studied approaches is transforming co2 into a valueadded product which in turn lessens its abundance in the atmosphere among all the existing co2 reduction co2r methods the photoelectrochemical pec is the most promising as it uses abundant solar energy to convert co2 into highvalue chemicals combining both the benefits of photocatalysis and electrocatalysis nevertheless there are only a few reports on the pecco2r by molecular catalyst majorly using noble metals ru and re to produce co a crucial primary building block for chemicals with high technological and economic feasibility in this context an electronrich nhcmnicarbonyl catalyst has been proposed for co2r to produce co with high selectivity at low overpotential and provide a potential platform to elucidate indepth mechanistic studies which are rare in this area the sought mechanistic understanding can lead to the design of improved catalysts under optimal operating conditions the project will be implemented by a multifaceted approach involving synthesis characterisation catalysis and computations and further enriched by the immobilisation of the catalyst on the semiconducting metal oxide surface to produce a suitable photocathode for pec reduction of co2 we anticipate that this approach will deliver catalysts with a lower overpotential while maintaining the exceptional activity of the catalysts ton tof fe qy the earthabundant mncatalyst anchored on a heterogeneous surface can be integrated into devices for artificial photosynthesis by combining it with a suitable photoanode the project is also expected to lead to highimpact fundamental knowledge and the results will be widely disseminated through publications in leading journals symposia conferences and workshops
3d printing electrodes for electrochemical nitrate to ammonia conversion towards a scalable preparation of cathodes for nitrate reduction electrolyzers

ammonia is a fundamental molecule to produce fertilizers it is one of the largest humansynthesized chemicals most of the ammonia is produced by the wellknown haberbosch hb process that is an energyintensive industrial process consuming around 1 to 2 of the worldwide energy output and is responsible for large emission of greenhouse gases in the form of co2 therefore alternative ways of producing ammonia with less environmental impact are urgently needed another very serious environmental problem is the nitrate contamination of water and soil with dire consequences for aquatic ecosystems and human health reducing nitrate levels in groundwaters is paramount and is in line with the strategy of the european commission to preserve the balance of the ecosystem to address these problems electrochemical nitrate to ammonia conversion emerges as an ideal alternative since nitrate pollution can be effectively reduced in waters at the time that ammonia is produced on a decentralized scale in this sense rednitro3d takes a step forward in solving these problems by providing a viable strategy to reduce nitrate pollution and at the same time take advantage of this process to obtain ammonia as a valueadded product generating profit and enhancing the sustainability of the process thus combining the electrochemical nitrate to ammonia conversion with the advances in 3d printing technology a scalable method to prepare cathodes for electrolyzers for nitrate to ammonia conversion is proposed in rednitro3d the project will be implemented by following three main objectives i benchmarking stateoftheart electrocatalysts ii integrating those electrocatalyst in a printable fdm filament to produce 3d printed cathodes and iii the design and implementation of a 3d printed electrolyzer containing the electrodes prepared previously this project persues to achieve the revalorization of waste and paves the way towards a circular economy
irritation and human sociality

irritation is a pervasive feature of the human experience and of human sociality in particular yet it has been very little studied by social and natural scientists research on irritation as it bears on interpersonal relationships rather than as a physical reaction to a sensory experience is particularly thin this project investigates irritation as a feature of human sociality in diverse cultural contexts with a particular focus on issues related to cooperation and morality it brings together methods and approaches from anthropology and psychology combining indepth ethnographic research in four culturally distinct environments with methods of systematic experimental comparison the primary aim of this project is to develop a comprehensive account of irritation that brings together the social cultural and psychological dimensions of it and of emotional life more generally the secondary aim is to bring the analysis of irritation into dialogue with the analysis of two fundamental features of human sociality cooperation and morality on the one hand it might be felt that irritation is a threat to our close relationships that if taken too far it will compromise the very patterns of cooperation and care on which these relationships depend and yet the pervasiveness of irritation not least among very close kin suggests something else that in some sense we may need irritation even that it is a constitutive feature of human sociality investigating the role irritation plays in the maintenance and disintegration of cooperative relationships and in moral judgements will enlarge our understanding of the emotional side of human sociality this pioneering work will develop a sophisticated culturally grounded theory of irritation capable of entering into critical dialogue with mainstream psychological and evolutionary theories of human sociality and make broader methodological contributions to studies of intimate experience and emotional life
controlling the surface chemistry of intermetallic compounds for nanoscale metal interconnects

interconnects impose major limits on the performance on integrated circuits during the exponential reduction of feature size of microchips the semiconductor industry faces challenges in the metallization of interconnects below the 10 nm half pitch and is looking to alternative metallization schemes to replace copper the traditional choice for the last 20 years which no longer meet the conductivity requirements at decreasing length scales binary metals such as nickelaluminium nial have been identified as a promising candidate that performs well with respect to resistivity at critical dimensions sub10 nm to replace copper however there are several challenges associated with the instability of these materials regarding surface oxidation leading to performance degradation the objective of crime is the insitu removal of the surface oxide and insitu passivation of binary intermetallic compounds to prevent surface oxidation at the sub10 nm half pitch for interconnect applications to meet the future size requirements of interconnects the downscaling of the cleaning and passivation processes from blankets to sub10 nm halfpitch and the formation of patterned lines with the aim of sub7 nm halfpitch will be performedthis will be achieved through an interdisciplinary approach that combines material science chemistry chemical engineering nanoelectronics and physics to test different metal oxide removal and surface cleaning chemistries in combination with organic and inorganic passivation layers insitu to overcome the formation of an oxide top layer the passivation layers will be deposited in the liquid and vapour phase and various analytic techniques will be used to elucidate the surface chemistry and surface reaction mechanismscrime goes beyond the stateoftheart as the cleaning and passivating process and the downscaling of these processes on nial at the nanoscale and for advanced microelectronics nodes has not been previously demonstrated
efficient syntactic analysis for largescale sentiment analysis

one of the key aspects of any successful business is knowing how customers feel about its brand and products for this purpose sentiment analysis or opinion mining tools could be paramount in helping companies to succeed however the current state of the art sentiment analysis solutions both commercial or academic present important drawbacks including low accuracy low performance response time around 1001000 ms high computational cost andor high price around 500month on average relegating these solutions to consolidated big brands social listening agencies or consulting firms offering social listening servicessalsa aims to democratize the analysis and transformation of internetsocial data into knowledge creation for decisionmakers making largescale sentiment analysis technology viable for small entities without massive computational power salsa will explore the potential of the powerful models and algorithms developed within erc starting grant fastparse to create the first aibased syntaxguided sentiment analysis engine which is a accurate due to using syntactic information to infer the opinions contained in each sentence from its structure and the relationship between its words rather than shallow methods that consider words in isolation and b costeffective due to employing fast parsers that have a throughput in the order of 1000 sentences per second on consumergrade hardware and that can work without time and memoryhungry large language modelssalsa will follow an opensource software business model in which we will explore several sources of revenue most based on servicelevel agreement this will highly contribute to the competitiveness of the eu technological market by reducing their dependency on the oligopoly of technological giants mostly american and chinese that currently have a dominant position in language technologies largely thanks to their enormous computational resources
mapping media for future democracies

to set out futureproof pathways to strengthen democracy through improving accountability transparency and effectiveness of media production and expanding active and inclusive citizenship the project aims to clarify the extent to which certain media under which conditions perform which democratic functions for which audiences thus making it apparent what is at stake for democratic media and for democracy itselfby applying an innovative multimethod design consisting of data science methods largescale quantitative analyses indepth qualitative approaches and participatory action research the project will cover 1 perspectives of both representative and participatory notions of democracy as they exist in european societies 2 the entire range of news media regardless of distribution channel mandate ownership and source of financing 3 the legal and selfregulatory framework under which media houses and journalism operate and people use media 4 the medias potential to promote and support political participation supply side and 5 the media use patterns communication needs and democratic attitudes of the audiences demand side in all eu member statesbased on the research results an interactive multilayer map of european political information environments will be created whose layers reflect the legal and regulatory framework and the democratically relevant features of media supply and demand in addition the obtained real map is to be confronted with a map of how european citizens envision the future media landscapes by comparing these maps conclusions can be drawn from congruencies and discrepancies between them good practice examples can be identified and guidelines can be derived to support developments that promote democracy and counteract phenomena that may jeopardize democracy these guidelines will be addressed to policymakers regulators selfregulation bodies media houses journalists ngos and citizens
predictive algorithms for simulating quantum materials

this project seeks to advance the field of predictive algorithms for quantum manybody systems by developing a nextgeneration numerical toolset the project will focus on combining fieldtheory based methods for both perturbative and nonperturbative abinitio and model systems with innovations in tensor techniques quantum monte carlo machine learning and numerical analysisby utilizing these innovative methods we aim to deepen our understanding of quantum phases and exotic properties of materials focusing in particular on experimentally measurable quantitiescurrently accurate methods for studying correlated quantum materials and their excitations are lacking established technology either employs the socalled density functional theory which relies on uncontrolled approximations to electron correlations and may be imprecise for systems with partially filled d or fshells or proceeds by downfolding to an effective lowenergy model which may capture correlations but neglects import aspects of electronic structure recent years have seen substantial progress in methodologies for simulating finitetemperature field theories abinitio using diagrammatic perturbation theory and nonperturbative embedding methods these methodologies also take advantage of advances in numerical mathematics computer science and machine learning where fast tensor algorithms such as tensor crossinterpolation techniques have been developed we believe that by combining progress in these areas it will be possible to generate a new generation of predictive and systematically improvable algorithms for obtaining experimentally measurable properties of strongly correlated quantum materials including angleresolved spectroscopy neutron spectroscopy and resonant inelastic xraysultimately we aim to unlock new insights into the behavior of quantum materials which will have profound implications for future scientific and technological advancements