Dragon09/odtu_chatbot huggingface dataset:
familyfocused adolescent lifelong health promotion

young people in eastern europe face risks to their health and wellbeing due to factors including violence poverty inequality and other adverse experiences exacerbated by the ongoing conflict in ukraine programs focusing on the adolescentcaregiver relationship are an evidencebased solution to supporting adolescent health by addressing a cluster of common individual and family risk factors parenting for lifelong health plh is one such program developed for implementation and scaleup in lowresource settings flourish will adapt implement and evaluate the plh teens program the program will be adapted to the service delivery and cultural setting of two countrywide health networks in north macedonia and moldova including the needs of the refugee populations from ukraine the program covers evidencebased skills such as problemsolving and emotional regulation for adolescents 1014 years old and their caregivers through building skills and strengthening the adolescentcaregiver relationship communication and caregiver monitoring the program has the potential to prevent and reduce multiple common mental health problems and risk behaviors such as alcohol misuse therefore reducing the risk of future noncommunicable diseases informed by coproduction with stakeholders and intervention process evaluation flourish will explore the costeffectiveness of intervention components and test the final intervention package in a hybrid implementationeffectiveness randomized trial as well as develop a scaling strategy informed by qualitative data and statistical modeling the project will foster methodological innovation flourish will advance the uptake and scaleup of evidencebased opensource and sustainable family interventions for adolescents in lowresource settings and therefore have a profound impact on reducing the risks for future noncommunicable diseases
learning ventures for climate justice

we live in an increasingly fragmented and unequal society democracy is in crisis and mistrust in science is on the rise yet the unprecedented challenges we face such as the climate and biodiversity crises require greater scientific literacy and engagement across society education needs to provide the scientific knowledge to engender engaged and informed societies but also to equip learners with the holistic competences to support and motivate them to become courageous thinkers and doers actively shaping their own futures we urgently need connected systemwide responses that incorporate varied perspectives are empathetic to different stakeholders needs and centre social justice and care to achieve this we need models for education that are more flexible and inclusive and advance lifelong learning to empower all citizens levers delivers learning ventures a replicable model for expansive science learning through multistakeholder regional partnerships that collaboratively explore challenges and design science learning experiences to address local issues in 9 learning venture demonstrator regions stakeholders from formal nonformal and informal education across education levels community organisations research and innovation industry and government will be supported to adopt a systemic design approach to create climate justice projects offering meaningful realworld learning experiences capacity building and a mentoring programme will offer role models and guidance within and between regional learning ventures linking ri with education the levers learning framework and field guide will enable the partnership model to be adapted for other regions and challenges professional learning programmes and open schooling resources will enable widespread uptake from youth and adult educators guides for industry engagement business models and policy recommendations will ensure transformative impact on science education in europe into the future
demonstration of a sustainable circularbydesign manufacturing system based on additive manufacturing

diameter aims to facilitate the implementation of a circular economy within the metal manufacturing sector through the development of hybrid manufacturing systems based on additive manufacturing the consortium will develop a set of digital tools to improve the design optimise the manufacturing process and ease the implementation of circularity strategies remanufacturing refurbishing repairing and recycling by the additive manufacturing industry to support those tools we will develop a novel aiassisted algorithm able to calculate both the ecological and economic impacts of a process to assess its sustainability this aiassisted algorithm will rely on experimental data from process monitoring and part characterisations and process simulation covering preprocessing machining additive manufacturing and postprocessing machining we will integrate these tools into a first platform called diagonal to facilitate the uptake by the industry the platform will integrate the european digital product passport by enabling the use of supplier data for more accurate ecological impact estimations and allowing the upload of experimental data to enrich product transparency on origin materials and recyclability we will develop a second platform diademia to support the upskilling of the workforce through interactive training courses workshops and exercises overall diameter will contribute to reducing the manufacturing sectors carbon footprint enhancing recycling developing a greener industry 40 and promoting local production
improved transdisciplinary science for effective ecosystembased maritime spatial planning and conservation in european seas marineplan

one of todays most pressing challenges is to safeguard the loss of ecosystem biodiversity and functioning while simultaneously allowing for their exploitation by those who depend on their services goods and benefits in europe maritime spatial planning msp is the main governance process to ideally integrate sustainability and exploitation this requires tools and knowledge to align msp and marine protected area mpa designation processes which are lacking particularly regarding transboundary coordination and connectivity founded on a large amount of expertise and a solid theoretical basis marineplan will codevelop with stakeholders a decision support system dss for ecosystembased maritime spatial planning ebmsp together with best practice guidance to enhance the effectiveness of spatial conservation and restoration measures for marine biodiversity in european seas tools will comprise operational criteria for ecologically or biologically significant marine areas ebsa enabling the allocation of conservation and restoration areas at various scales in complex sea areas with multiple uses while including the effects of climate change the dss will be developed and applied at eight european planning sites from coastal ecosystems to open ocean and the deep sea and from local to transboundary scales applying and validating the dss will incorporate realistic planning scenarios key action points to achieve the eu biodiversity strategy and policy recommendations how to enhance ebmsp implementation in european seas marineplan will communicate results to decisionmakers at horizontal between sectors and vertical from local to european levels and enable the transfer of knowledge to areas in differing socioecological settings the improved natural and social science base will ensure effective policymaking to support a greater coherence in implementing environmental policies as well as to enable streamlined planning for marine industries
seen together activating together how object cooccurrence statistics shape object representation and visual cognition

visual objects in real life carry both perceptual and semantic information which cannot readily be inferred from simple visual features and is based on prior knowledge however semantics is not a unitary concept it can be separated into taxonomy eg ducks and frogs are both animals and cooccurrence eg candles appear together with cakes previous studies have extensively characterized the role of taxonomy in visual cognition while cooccurrence is less wellunderstood and more disputed the aim of this proposal is to investigate the impact of object cooccurrence on object representation and visual cognition the project has four objectives first i will use fmri and eeg to identify where and when object cooccurrence statistics are represented in the brain how they rival other competing organizations and which mechanisms enable these representations objective 1 will provide a characterization of cooccurrence as a key organizational principle of object representation second i will investigate how cooccurrence modulates neural competition between objects using fmri objective 2 will clarify whether organizing objects based on cooccurrence can overcome information processing bottlenecks in the visual brain third i will examine whether cooccurrence can facilitate conscious perception using the attentional blink paradigm and explore where and when neural representations of cooccurrence predict ab magnitudes fourth i will investigate how and when cooccurrence impacts performance and neural processing in visual search using eeg objectives 3 and 4 will aid our understanding of how object cooccurrence contributes to human perception and cognition and thereby helps people to perform everyday tasks successfully overall this research will provide a comprehensive characterization of how object cooccurrence in the world shapes human vision and open new avenues for explaining visual behaviors in natural environments
unravelling the eukaryotic posttranscriptional regulatory code

genomes encode instructions for cells to regulate gene activity in response to their environment however and despite its importance for biology medicine and biotechnology the underpinning regulatory code remains undeciphered gene regulation consists of two major steps first genes are transcribed into mrna second posttranscriptional mechanisms regulate mrna stability and the rate at which it is translated into proteins this second step of gene regulation is still poorly understood because relevant parameters such as mrna halflife mrna protein binding and subcellular localization are difficult to assay the lack of understanding of posttranscriptional regulation implies that we still do not have a complete picture of the regulatory code in epic we exploit the advantages of the model eukaryote saccharomyces cerevisiae and other species covering a broad evolutionary range to derive the first comprehensive sequencebased model of eukaryotic gene regulation epic integrates the complementary expertise of 3 teams it combines innovative highthroughput technologies pelechano to probe posttranscriptional regulation at an unprecedented scale across a broad range of species and conditions with synthetic biology to massively test regulatory sequences verstrepen deep learning on these data allows us to build predictive models and unravel complex regulatory instructions gagneur ultimately epic will enable us to decipher the actual language of gene regulation and facilitate rewriting genomes epic will enable understanding and predicting regulation and ultimately phenotype from dna closing a major gap in basic biology while also opening exciting avenues for applications in biotechnology and medicine from pinpointing diseasecausing mutations to rational design of genes rnas and cells
a thermoelectric generator for lowgrade heat to electricityhydrogen conversion h2e

heattopower conversion can be achieved by thermoelectric generators tegs devices that exploit the seebeck effect to build up an electric potential across a stack of semiconductors subjected to a temperature difference this physical effect has long been known but widespread application has remained limited because of the low efficiency less than 5 and high cost of available semiconductors often containing rare metals and featuring high toxicity and poor thermal stability compared to alternative technologies for valorisation of lowgrade heat eg the organic rankine cycle teg technology has substantial advantages including lower weight and absence of moving parts this leads to high reliability and lowmaintenance crucial attributes for the chemical process industry using less expensive semiconductor materials and increasing efficiency are the main challenges to broaden the application field of tegs h2e proposes a new approach to enable improved tegs using a thermoelectrochemicalhydrogen production device tech based on recently discovered robust low cost nontoxic porous semiconductor materials these new semiconductors are implemented in an original design mounting them in stacks to produce a tech device that is modular and exhibits good scalability the resulting disruptive increase in efficiency will enable power generation with a decreased cost per unit power h2e will valorise lowgrade waste heat in the temperature range below 100 c a range currently not exploited in industry besides industrial waste heat also lowgrade geothermal heat represents huge potential h2e aims to innovate the production of two end products renewable electricity and green hydrogen by water splitting h2e will contribute to a more energyefficient and lowcarbon future in line with europes longterm strategy to become climateneutral by 2050 as set by the european commission in the european green deal
transcriptional regulation assessed in neuronal subtypes in three major interrelated psychiatric disorders

schizophrenia scz bipolar disorder bp and major depressive disorder md are three major psychiatric disorders that affect mood thinking and behavior these disorders are strongly genetically intercorrelated and exhibit pronounced clinical overlap suggesting that they are different manifestations of a shared underlying neurobiology along a spectrum however the neurobiological mechanisms and pathophysiology of these disorders are still poorly understood limiting effective drug discovery there is an urgent need for new models for drug testing as animal models have major limitations and current psychiatric organoids systems are dependent on patient derived stem cells in which technical genetic and biological diversity confound the interpretation and obscure the underlying neuropathology the major challenge of this erc proposal is to develop organoid models for psychiatric disorders by targeting upstream transcription factors transcription factors are key molecules that drive cell type differentiation including neuronal network formation hence the central hypothesis of this erc proposal is that neuronal subtype associated transcription factors can function as targets to model these disorders using brain organoids however the neuronal transcriptional regulators that mediate these disorders are currently unknown and difficult to identify novel genomics technologies allow for an unbiased characterization of the brain in order to detect cell types and genes that are dysregulated in disease and can be used to identify putative upstream transcription factors here i propose a selection of multiomics profiling strategies to a unique collection of high quality psychiatric human brain tissue aimed at reliably identifying key upstream transcription factors we will subsequently target those transcription factors in brain organoid systems to establish neurobiological models of these disorders
decoding the molecular basis of lateral root stem cell specification in plants cfern as a model system

to conquer land vascular plants evolved a sophisticated root system which consists of primary and lateral roots lrs the de novo lr organogenesis represents a major evolutionary innovation which has provided sessile organisms like plants with the capacity to forage for water and nutrients the host lab is a pioneer in demonstrating that lr formation requires de novo specification of stem cells inside the primary root they also discovered that the early stages of lr initiation are regulated by an oscillatory mechanism where the phytohormone auxin plays a major role despite these advances the exact molecular mechanisms underlying lateral root stem cell lrsc specification remain largely elusive and it is not known how these mechanisms emerged during plant evolution to address these fundamental questions i will use an emerging model system ceratopteris richardii cfern which is an evolutionary pivotal yet underexplored model plant based on fossil records ferns and seed plants diverged during the middle devonian period from a common ancestor suggesting that several key regulators might be conserved among them despite some differences in their root ontogeny in cfern the formation of lrscs is clearly visible at the anatomic level cfern has ancestral and possibly simpler mechanisms underlying lrsc specification in this project i aim to identify key transcription factors controlling lrsc specification in cfern to achieve this goal i will combine my expertise in molecular and developmental biology with multidisciplinary approaches including single cell rna sequencing crisprcas9based genome editing and topnotch confocal imaging this project has a strong potential to introduce novel concepts in the field of plant stem cells and their evolution it will also open new perspectives for me to become an independent researcher in the field of evodevo of plant stem cells
4d scanning transmission electron microscopy for structural biology

electron microscopy em has transformed research in the life and physical sciences separately cryoem in life sciences allows the 3d structure determination of proteins down to 10 resolution in case they are large enough and present in high numbers in homogeneous states for many molecules involved in diseases like neurodegeneration however structure determination is still severely hampered due to their insufficient contrast when imaged in vitreous ice or in their native cellular environment to date em in the physical sciences generated utmost contrast for light atoms and established a resolution in the range of 02 limited only by thermal motion this record was achieved by evolving scanning transmission em stem from a 2d to a 4d imaging technique combining imaging with diffraction in this project we will work out 4dbiostem methodologies and develop a cryoem tool that maximizes contrast and resolution by bringing together em groups from life and physical sciences 4dstem imaging of frozen biological specimens will be approached with unique and specialized hardware theory and simulation the development of microscope operation routines and image reconstruction algorithms in particular we will acquire sparse 4d data using ultrafast detectors employ methods for direct phasing differential phase contrast dpc and establish advanced socalled ptychographic techniques to gain maximal signal from noisy 4d cryostem data that are limited in their electron dose budget we will make use of synergies between recently separated fields in order to make proteins smaller than 50 kda amenable to structure elucidation furthermore we will expand 4dstem to tomography to obtain highcontrast 3d reconstructions from cellular samples human brain tissue of neurodegenerative diseases and vitrified organic energy materials a new comprehensive structural imaging framework will be put forward and benchmarked as to its utility in life and physical science applications of cryoem
flowassist pouch will help to improve the skin condition of ostomy pouch users while introducing novel design features dramatically improving their lifestyle and management of their condition

ostoform has developed and patented a new class i medical technology flowassist by combing a nonabsorbent material with an absorbent material hydrocolloid the nonabsorbent material comprises a flexible spout positioned beneath the patients stoma and is combined with hydrocolloid adhesive to keep the spout in place this hybrid design directs stoma output away from the patients skin and into the pouch the spout prevents output from being absorbed so the hydrocolloid material does not break down this means that the appliance lasts for longer the skin is protected for longer and the risk of leaks and skin complications is significantly reducedthe ostoform seal with flowassist has been successfully developed and commercialised through the h2020 sme instrument ostoform now plans to develop the ostoform pouch with the same flowassist technology as the ostomy pouch market is larger than the seal market the novel pouch will increase market opportunity and company value
cerabyte a ceramic data storage system for global it cloud service provider

our digital society generates enormous amounts of data at an ever growing speed most of these data are cold which means they never change and are rarely retrieved storing these data consumes a lot of energy and requires hardware replacement every 35 yearstherefore we have developed cerabyte a novel cold data storage technology which stores data on ceramic nanolayers enabling an unlimited timespan cerabyte outperforms these mature technologies by leveraging ceramic nanolayers in combination with a massive parallel laser writing and reading mechanism once data are written no energy is needed to maintain the data for a long lifespan which leads to savings of up to 99 of energy and co2 emissions as well as 95 of total cost of ownership tco cerabyte will offer data storage systems which are fully compliant with current data center standards and easy to integrate for business customers into their data storage architecture this will disrupt the data storage component market with a market size of 416 bn in 2022 growing to 1369 bn in 2030cerabyte has established a new value chain together with international manufacturing partners and reached trl6 with the launch of a fully functional demosystem in october 2023 located in aachen germany the demo system has been recently validated by the us national academy of sciences engineering and medicine rapid expert consultation on archival data storage technologies for the intelligence community in january 2024our base patent for ceramic data carriers was granted in record time in eu usa rus aus can prc tw sk jp and in covering 77 global gdp 675 smartphone 49 global population by combining our extensively patented technology with already existing robotic storage systems we will be able to disrupt the 50 bn data storage infrastructure market