Dragon09/odtu_chatbot huggingface dataset:
from niche to mainstream alternative proteins for everybody and everywhere

the interest of europeans in alternative proteins is becoming clear and this trend is the perfect ground for the dietary shift towards sustainable and healthy nutrition and food systems in line with the ambitions of the eu green deal farm to fork strategy and eus climate goals yet this interest is not reflected in the european dietary patterns as alternative proteins are mainly consumed by early adopters while the majority is less receptive towards alternatives or have limited possibilities to integrate them in the diets this gap between interest and consumption is due to obstacles in the food environments such as product limited offering suboptimal product taste isolated product placement in shops or menus etc without overcoming these obstacles alternative proteins will remain a nichelikeapro aims at mainstreaming alternative proteins making them accessible available and acceptable to everybody from children to elderly vulnerable groups and everywhere across europe in urban periurban and rural areas to achieve this key representatives along the entire alternative protein value chain growers producers cooks retailers consumers researchers will work together in a transdisciplinary consortium to improve european food environments towards fostering alternative protein consumption practical solutions will be codesigned with citizens this social innovation will take place in 11 living labs and in 4 real life food environments for a diversified alternative protein offering 16 new alternative protein products will be developed with 7 sustainable healthy and novel sources to secure result deployment the project will actively involve middle food system actors 35000 companies via cocreation and capacity building for a maximised impact innovative communication campaigns will be launched in 6 countries reaching 8 m citizens in 4 years
the ghost in the translation machine charting language proficiency exploring technology and making translators fit for a digital age

the eus commitment to support its multilingual character the european commissions priority of creating a europe fit for the digital age and the raising eu and global demand for translation services as evidenced eg by the latest european translation industry elis reports 20132021 entails research and investment in language training on the one hand and the provision of highquality translation services that seize the opportunities offered by the latest technologies on the other handlinguatech is the first indepth study that produces and combines on new findings on additional language al competence at the highest levels alongside neural machine translation and generative ai postediting competences and applies these to translator training it will result in a definition and measure descriptors of the al competence of translators that will be supplemented with insight into the linguistic demands of machine translation postediting and selected generative ai models they will feed into the ultimate deliverable the linguatech toolbox complete with descriptors guidelines how to teach al to translators in the ai age tools linguistic matchup marker and a short online training course on technologyenabled al teaching al teaching streamlined with the demands of newest technology will give translation students a competitive advantage upon their entry on the eu language market in terms of expertise cost quality technology and adaptability to innovation while at the same time it will provide a better skilled workforce for the quickly growing language industry and institutional language departments additionally the insight generated by linguatech and its dissemination and exploitation will benefit experienced translators who frequently face insecurity towards technology the research will be supported by a secondment at rws who are major player on the global and european translation market and will be available open source
therapeutic antisense oligonucleotides targeting numb alternative splicing in lung adenocarcinoma

lung cancer is the leading cause of cancerrelated deaths with 18 million deaths expected globally in 2021 lung adenocarcinomas luad represent 13 of all lung cancer cases despite notable advances current treatments remain ineffective resulting in 25 survival beyond 5 years due to the high heterogeneity of molecular abnormalities driving lung cancers targeted therapies are applicable to only a small subset of patients there is therefore an urgent unmet need for developing novel therapeutic approaches generally applicable to luad patientsalternative premrna splicing as allows the synthesis of different protein variants from a single gene by differential selection of exonic sequences increased inclusion of exon 9 of the gene numb encodes a protein isoform that promotes cancer cell proliferation this occurs in the vast majority of luad tumours correlating with worse disease prognosis supported by the erc poc valsl we developed an innovative therapeutic approach based on the use of antisense oligonucleotides aons that regulate numb as our proprietary aons correct numb pathological splicing inhibit cancer cell proliferation and reduce tumour growth in four different mouse models of luad including 2 patientderived xenograft modelswith support from the eic transition we will bring this technology to a stage where it is ready to be validated in clinical trials we will optimise our lead aons by improving their chemistry formulation and administration and will carry out regulatory preclinical studies these will pave the way to the first application of aonbased splicing modulation in clinical oncology to commercialise this technology we also aim to develop the business plan for a spinoff company aon therapeutics in the long term our project has the potential to generate compounds presentations and delivery methods that can be applicable to other target as events andor cancer types as well as to other asrelated diseases
deciphering gene regulatory networks governing mammalian sex determination

during mammalian sex determination the bipotential embryonic gonad adopts either testicular or ovarian cell fates this process highly relies on precise expression of several promale versus profemale factors most of which are transcription factors tfs and signalling pathway components yet we still do not understand the interplay and hierarchy among these factors their direct target genes the regulatory elements they bind to nor do we have an in vitro system to address these questions we recently explored the complex gene expression regulation of sox9 a key promale factor and identified several active testisspecific enhancers remarkably deletion of one of these led to xy maletofemale sex reversal in mice the presence of several functional enhancers highlights the complex gene expression regulation present during sex determination which we aim to address here in a systematic manner furthermore we recently developed a system to generate mouse and human gonadal progenitors from embryonic stem cells building on our exciting results we seek to decipher the gene regulatory networks governing mammalian sex determination using in vivo and in vitro approaches this proposal will pursue three complementary aims i identify target genes of the key factors controlling gonad formation ii map the regulatory elements bound by these factors iii develop an in vitro organoid system to model testis development using cutting edge techniques as cutrun chipseq atacseq promoter capture hic crispr genome editing organoid culture and 3d scaffolding development we will address the complex gene expression regulation governing sex determination insights gained from this basic research will shed light on cell fate decisions in general allow better diagnosis of many patients with disorders of sex development and offer an in vitro system to study gonad development and function with implications for understanding and treating infertility
evolution of shapedefined macromolecules into functional systems

functionalities of enzymes are encoded in amino acid sequences and directed by their shapes with complementary binding pockets for specific substrates natural enzymes are remarkable catalysts however they are typically optimized by evolution to operate under the constraints of the physiological environment of a living system which strongly limits the scope of their applications in organic synthesis here i propose to develop abiotic enzymes to selectively catalyze chemical transformations in nonphysiological environments the main objective of the project is to use monomer sequence control to finetune the shape of abiotic macromolecules to obtain the desired catalytic functionality this goal will be realised via four work packagesi primary structure control to input information into macromolecules development of synthetic methods yielding high molar mass sequencedefined polymers to deliver abiotic proteins at high scales and numbers ii shape control by single chain folding and topology secondary and tertiary structure evolution by varying the monomer sequence and stereochemistry to tune intramolecular interactions leading to controlled engineering of globularly folded polymers iii introducing catalytic activity into abiotic polymers enhancing selectivity and efficiency of catalytic reactions by advancing an outer sphere that surrounds the metal cofactor iv sequencefunction studies using machine learning delivery of models able to interpret multivariate data that will guide the development of complex catalytic systems to find and predict dependencies inaccessible by conventional methodsour approach proposes an unexplored method for obtaining abiotic sequencedefined polymers operating in a nonbiological environment whose functions can rival those of natural macromolecules the study will reveal valuable information on sequencedependent properties of polymers to open a field of abiotic enzymes for organic transformations
convolutional neural networks to reveal resistant phenotypes behind the complex genotypes of ovarian cancer

highgrade serous ovarian cancer hgsoc which is the most aggressive type of ovarian cancer is characterized by the mutation of gene tp53 and extensive copy number variations cnvs hgsoc tumors typically show an initial favourable response to standard treatments however they often acquire resistance and relapse currently there is a need for new therapeutic approaches to combat emerging drugresistant subpopulations although the scarcity of common targetable oncogenic mutations has complicated the development of directed therapies the study of cnvs offers a promising opportunity to find new mechanisms of resistance and develop alternative treatments as it has been described how cnvs can model clonal fitness and therapeutic resistance in other types of cancerhere i will explore the impact of the cnvs on the treatment response of hgsoc patients and their distal effects on the transcriptome using convolutional neural networks this complex machine learning model will be trained with the largest available longitudinal cohort of hgsoc samples at the singlecell resolution and will reveal which cnvs and their specific combinations have a relevant role in shaping the hgsoc tumours upon treatment employing a systems biology approach i will identify convergent phenotypes within these relevant cnv profiles and then validate their effects on treatment using data from both external cohorts and drugtreated patient derived organoid models this novel approach enables revealing resistance mechanisms driven by complex genotypes and thus allows finding specific vulnerabilities to combat emerging resistance in hgsoc
energy storage with bulk liquid redox materials

the problem electrifying transport and storing electricity from renewable intermittent sources is mandatory for a carbon neutral society best in class energy density helped lithium ion batteries lib to now widespread use giving a taste of the full promise of electrochemical energy storage ees however they rely on scarce elements with associated major cost and energy input for production hence the required giant scale deployment makes no sense ecologically nor economically alternative ees devices supercapacitors and redox flow batteries each alleviate some of the weaknesses of lib such as power used elements and safety but remain critically weak in energy per unit weight and mass overall a carbon neutral society has critical demand for environmentally benign ees which combines the best features of these technologies success and troubles of libs stem from the used transition metal compounds eg based on cobalt being solid and dense they allow for high energy but processes are slow in solids restricting power further transition metals are scarce expensive and energy hungry in production therefore the ideal redox material was based on main group elements liquid and had solidlike redox densitythe solution in the erc stg project omicon we discovered such a class of low molecular weight organic redox materials with exciting features i they are liquid in pure form and dissolve salts being active material and electrolyte at once ii they are reduced and oxidized with a significant voltage difference hence can act as anode and cathode material iii they are mixed conducting allowing for very high volume occupation in the electrode iv being liquid a redox flow battery with unmatched energy density is possible v consisting of mainly c o and h the materials are accessible in cheap scalable synthesis from bulk raw materials
edged crystalline cohomology

this proposed project aims at opening new horizons in grothendieck and berthelots theories of crystalline and rigid cohomology these are padic cohomology theories that are used to study algebraic varieties in positive characteristic in the last years the subject has seen an incredible development recent important achievements have been for example kedlayas new proof of the riemann hypothesis in positive characteristic and abes construction of a padic langlands correspondence for overconvergent fisocrystals on the other hand there are still some fundamental open questions the main weakness of the theory of rigid cohomology is the difficulty of performing classical geometric operations for example it is not known whether the direct image functors have all the desirable propreties berthelots conjecture this is mainly due to the fact that the definitions rely on differential forms which need smoothness assumptions to be defined the applicant daddezio wants to use the edged crystalline site a new site that he has recently constructed to solve this issue in particular he wants to show that the edged crystalline site gives an alternative new definition of rigid cohomology and overconvergent isocrystals and then use this to prove berthelots conjecture for this second step he will exploit the fact that the definition of the edged crystalline site is completely algebraic other applications that will be developped include the construction of an integral structure for rigid cohomology and the construction of the category of fisocrystals with logdecay for smooth varieties of arbitrary dimension extending the results of kramermiller
empowering participation and accelerating synergies in widening countries with a focus on green digital transition

there is a substantial differentiation in terms of ri performance among the eu member states this divide has also been reflected in differing levels of participation in the framework programmes for which the allocation of funding is based on excellence low participation in turn limits the potential of underperforming countries to overcome the shortcomings in their ri systems in recent years one of the main priorities of the european commission was bringing cohesion policy and horizon 2020horizon europe closer together with an aim of strengthening the impact of both policies by creating complementarities especially in less developed and peripheral regions considering these facts twin synergies project aims at supporting the eu strategic context in regard to creation of synergies at the operational and governance level directing towards the upstream synergies mode human resources development and internationalisation in this manner especially smart specialization strategies essential instruments for creating combined effects with smart growthrelated instruments at eu level especially with he will be taken into consideration twin synergies project gathering 9 partners from 4 widening countries and 1 eu member state will in 24month project duration develop and apply upstream compatible tailormade but transferable activities for capacity building internationalisation hr development collaboration valorisation and technology uptake focusing on the current developments related to the green and digital transition besides as essential part of upstreamdownstream synergies the project will put a strong focus improving the cooperation stage and communication corridors among the relevant actors particularly the eu and national authorities involved in the programming and implementation of he and erdf support
techconnect assessing and strengthening humantech skill complementarity in the digital landscape

techconnect thoroughly explores the ongoing debate regarding the influence of emerging technologies on human labor and skills it places a distinct emphasis on humantech skill complementarity highlighting the essential interdependence and mutual enhancement of both human and technological skills in a systemic manner the primary goal is to deepen our understanding of the dynamic interplays between new digital technologies and human skills generating novel and practical knowledge on this emerging topic of humantech skill complementaritythe project brings together a multidisciplinary team and employs diverse methods including policy analysis systematic literature review annual crosssectoral industry landscape surveys indepth case studies in the healthcare sector and validating the findings beyond this sector via stakeholder engagement workshops and guidelines production the key outcomes include the development and validation of the humantech skill complementarity conceptual framework assessment index strengthening model and techconnect stakeholder toolkit these outcomes reveal the how new technologies such as ai and robotics affect human skills emphasising the development and deployment of technologies that enhance individual skills and workforce capabilitiesadopting a collaborative approach techconnect forms a consortium with academics industry partners and a stakeholder engagement firm this collaborative effort fosters partnerships with technology associations professional groups and government entities grounded in the researchinformed evidencebased and practicedriven approaches techconnect will make a meaningful impact on the quality of employment and competitiveness contributing to social and economic resilience the collective efforts of the consortium are geared towards disseminating findings and recommendations widely with the ultimate goal of influencing policy and practice for inclusive growth in the digital landscape
planetary stewardship in view of earthspace sustainability

spacebased satellite infrastructures have become indispensable for daily activities on earth these opportunities are shaped by an increasing number and variety of actors from hegemonic rivalry among leading nation states to competition between billionaire companies to build satellite constellations the rapid expansion of space activities has led to growing space debris that challenges the longterm sustainability of the earths orbit these developments are furthermore causing global injustice in particular in terms of uneven development as countries grow increasingly reliant on space infrastructures addressing the interrelations of earth and space sustainability is therefore an imminent global challengei argue that understanding these rapid developments in space should be informed by the concept of planetary stewardship ie the ambitions construed by actors to control largescale system development on earth and in space spelling out the conditions and mechanisms of sustainable planetary stewardship will enable the formulation of new governance approaches for earthspace sustainabilityplanetstewards will break new ground by theorizing planetary stewardship at the interface of sustainability transitions economic development and global governance literatures i will investigate four main stewardship approaches statecentric marketcentric global communitycentric and technocratic approaches i will i identify actors value orientations and strategies ii analyze processes and mechanisms of stewardship within and across manifold sociotechnical systems and iii determine possible outcomes of stewardship across different contexts based on a comparative embedded case study design and combining textbased data from multiple document stocks and interviews i will conduct indepth process tracing using discoursebased network analysis planetstewards will derive principlesbased stewardship frameworks for future earthspace sustainability
identifications a psychoanalyticpolitical study of performances countering intraeuropean cultural racism

the enlargement of the european union to include central and eastern europe 2004 2007 brought with it the rise of rightwing politics in western europe factors that contributed to the ensuing institutionalisation of rightwing parties include the european debt crisis 20092018 the imposing of austerity measures and the unprecedented influx of migrants from the middle east and africa during a period that has been termed the european migrant crisis 20152019 as living standards fell farright politicians blamed the decline on both internal and external immigrants and refugees by singling out incomers as a threat to economic and cultural stability the rightwing populists began galvanising processes of identification among citizens through the use of discourses of intolerance a newlyfortified cultural racism provided followers with a mechanism of legitimacy for their rightwing beliefs this research project will study the intricate interplay of performance and race it will investigate the ways in which both leftleaning civic performances civil protests speeches policies and artistic performances theatre dance music are capable of mobilising processes of identification that draw upon antiracist discourses that permeate and sustain democratic institutions turning to discourse theory and using a selfcritical western european lens the project will explore processes of identification that contest cultural racism
discovering how bioactive compounds from seaweed kill parasitic worms

infection with gastrointestinal parasites is one of the most severe impediments to sustainable meat and milk production from grazing livestock widespread resistance to the small number of available synthetic drugs has rendered continued prophylactic drug treatment unsustainable one solution is to feed animals on plants or other natural resources that contain bioactive compounds with antiparasitic activity such as seaweeds the in vitro antiparasitic activity of polyunsaturated fatty acids pufas from seaweeds has been reported but as yet the anthelmintic mechanism of pufas is unknown the current proposal aims to use pufas from nordic seaweeds to investigate how pufas bind to nematode parasites and target the receptors furthermore transcriptomics and functional biochemical experiments will be used to elucidate the biological pathways that are perturbed in nematodes after exposure to sublethal doses of pufas in vitro this unique multidisciplinary project will involve leading groups in both veterinary parasitology and receptor biology and combine the latest techniques in molecular parasitology and drugreceptor biology it is envisaged that the unique skill sets obtained from the project will be highly beneficial to my future career as well as uncovering novel insights into the biological properties of pufas that will greatly aid the practical future use of puafscontaining plants and algae thus ensuring the continued sustainability of pasturebased livestock production