Dragon09/odtu_chatbot huggingface dataset:
building performance digitalisation and dynamic logbooks for future valuedriven services

chronicle will deliver a holistic lifecycle performance assessment framework and toolsuite for different building variants supporting sustainable design construction andor efficient renovation and investment decision making it will be methodologically integrate ongoing initiatives like epcs levels sri under the umbrella of the digital building logbook concept performance will be assessed by means of welldefined kpis based on both static by design as well as dynamic information sensor measurements appropriately tailored to different types of use and building lifecycle phases new or existing buildings under refurbishment continuous monitoring and analysis of the actual building performance over its lifetime will be based on a powerful digital twin framework the proposed data availability and accessibility within chronicle will extend the limits of the eu energy related policies while the aggregated epc advanced information will facilitate efficient energy planning to this end chronicle will allow all stakeholders to realize in quantified terms the short and longterm impact of the project activities from policy to practice and across the whole building life cycle it will therefore promote evidencebased impact assessment practices to support policy coherence design of smart penalties and reward schemes towards motivating energy consciousness while also paying attention to the voice of market stakeholders aecs escos fms but also building owners and tenantsoccupants who are directly impacted by future regulatory decisions chronicles building performance assessment framework and toolset will be demonstrated and validated in five pilot sites spanning the geographic diversity of europe namely in spain ireland denmark greece and switzerland
a hybrid atomphotonphonon quantum processor

many quantum information processing tasks were first demonstrated with neutral atoms and ions with improving capabilities of nanofabrication a growing number of artificial systems have also shown significant potential in this area and have often even surpassed the early existing systems in their performance and potential for applicationsone of these new quantum systems is the optomechanical resonator consisting of an optical cavity coupled through the radiation pressure force to a mechanical oscillator when cooled to the ground state the mechanical mode can exhibit quantum behavior and be used to process quantum information limited by relatively weak photonphonon coupling this process is typically probabilistic in this proposal we will include a strong non linearity in order to facilitate a deterministic manipulation of phonons we will realize this by introducing a single trapped neutral atom forming a hybrid atomphotonphonon system the single atom will be trapped in close proximity to the optomechanical resonator and will strongly couple to the optical mode as a first demonstration we will realize a photon blockade effect which will allow only one photon to enter the cavity at once prohibiting any multiphonon generation this will be verified by a thermal phonon mediated rabi oscillation experiment details of the technique as well as additional experiments are discussed in the proposalthe successful completion of these experiments will have a major impact on quantum physics it represents a milestone towards a fully controllable atomphotonphonon hybrid quantum system while the project is ambitious and very competitive it is just within experimental reach when combining several cutting edge experimental techniques the experienced researcher yong yu is in a unique position to realize this project given his cold atom and quantum optics background which matches up perfectly with the optomechanics expertise at the host group at tud
decoding mitochondrial selective autophagy in synaptic homeostasis during ageing

agedependent accumulation of damaged mitochondria and synaptic loss represent early pathological hallmarks of brain ageing leading to neuronal death mitochondriaselective autophagy mitophagy is triggered to eliminate defective organelles promoting cellular and organismal survival mitophagy declines with age while its induction extends lifespan and confers neuroprotection across diverse species although the pivotal role of mitophagy in neuronal physiology is steadily emerging its contribution to synaptic homeostasis remains elusivebuilding on our previous pioneering studies synaptomitophagy aims to reveal the molecular underpinnings of agedependent synaptic impairment focusing on mitochondrial maintenance and turnover we will combine the nematode caenorhabditis elegans which offers a welldefined nervous system with cuttingedge technologies such as super resolution imaging microfluidics and optogenetics to manipulate spatiotemporally mitochondrial damage and monitor synaptic mitophagy at nanoscale resolution in vivo mammalian neurons will be used to address the functional conservation of synaptic mitophagy componentsthe objectives are fourfold 1 establish mitophagy reporters for in vivo monitoring of mitochondrial fate at synapses during ageing and under neuroprotective conditions 2 use optogenetic tools to stimulate synapserestricted mitochondrial damage and thereby to detect mitophagy induction and its contribution to neurotransmission 3 characterize the synaptic defects and assess behavioral deficits arising from mitophagy impairment 4 conduct forward genetic screen for synaptic mitophagy modulators towards augmenting mitochondrial quality control and resistance to agerelated synaptic failure the cumulative results of this proposal will decode the molecular mechanisms of neuronal mitophagy compartmentalization at synapses during ageing providing critical insights with broad relevance to human health and quality of life
collective learning data lab

data fuels the digital economy this demands training new generations of experts on how data is collected stored processed and analyzed corvinus university of budapest cub is working to become a leading business and economics university in central and eastern europe by combining data science skills with expert knowledge in business and economics the support of the era chair program will reinforce institutional reforms at cub designed to transform it into a hub of research and teaching excellence in applied data science expanding the international attractiveness of cub through cuttingedge training programs and innovative industry collaborations we will establish the new collective learning data lab cldl with the leadership of professor csar hidalgo a worldclass researcher in data science economic geography and network science by leveraging synergies with outstanding research groups at cub the collective learning data lab is projected to grow into a leading center for data and network science this will create an environment for the university to learn key methods and publish in top interdisciplinary economics business and social science journals the lab will be a flagship project involving students in experiential datadriven work lab members will engage in advising phd programs and in developing ba specializations and master programs in social and businessoriented data science the lab will widen cubs industry collaborations with dataoriented companies and public policy use cases building on budapests strong tradition in network science cldl will impact hungary and central and eastern europe by equipping society with the skills needed to undertake new challenges
microbial services addressing climate change risks for biodiversity and for agricultural and forestry ecosystems enabling curiositydriven research and advancing frontier knowledge

terrestrial biodiversity and ecosystems are being challenged by global changes and threats to agricultural and forestry ecosystems represent some of the most serious environmental and socioeconomic menaces that the planet and humanity are facing climate change cg is widely recognised as one of the most impactful global changes and since it goes handbyhand with biodiversity and services loss in terrestrial ecosystems they should be tackled together microbes constitute the life support system of the biosphere but they are its most overlooked fraction and are not considered in the context of cg the overall understanding of the impact of cg on the assembly and functions of microbiomes is still very limited how the complex microbesplantssoil interactions and its consequences on plant performance and productivity are impacted by cg is still largely unknown additional knowledge also needs to be obtained on the overall ecosystem functioning and to what extent microbiomes may mitigate stress conditions due to cg the project microbes4climate will provide a wider community of usersresearchers irrespective of location efficient access to a cluster of complementary worldclass research infrastructures and their integrated advanced services along with training and scientific andor technical support to address such need an excellencedriven programme of transnational access which is at the core of the project will enable users to conduct curiositydriven research addressing terrestrial biodiversity and ecosystems in light of the abovementioned multidimensional and still poorly understood microbiomesplantssoilenvironment interactions and its roles in cg responses resilience and mitigation this will foster the advancement of frontier knowledge and also pave the way to applied research on harnessing plantmicrobiome interactions to improve the climate resiliency of plantscrops and to enable eg precision sustainable and resilient agriculture
siliconphotonics hotelectron light sources

the aim of the spotlight project is to design build measure and explore a novel class of light sources based on hotelectron emission in silicon bowtie structures we will pioneer hitherto unexplored light sources that use strongly enhanced lightmatter interaction to dramatically increase the radiative decay rate of hot electrons ie electrons injected in highenergy bands these highenergy bands do not play a role in light sources today because electrons in solids couple so strongly to phonons that they decay rapidly by phonon emission before any appreciable light emission can occur as a result even if electrons are injected at energies high up in the conduction bands they decay nonradiatively to the conduction band edge on a picosecond timescale this implies that essentially all electronics and photonics today rely on physical processes occurring close to the band gap and this holds for transistors resistors lasers lightemitting diodes singlephoton sources and much moremy idea builds on a recent breakthrough in my group where we demonstrated a novel type of nanocavity capable of confining light to optical mode volumes so small that they were considered fundamentally impossible just a few years ago these unique concepts enable speeding up the radiative processes by orders of magnitude turning hot electrons in any semiconductor into a bright light source whose wavelength will be determined by the cavity not the band gap our material of choice will be silicon not only because it is the most important material in micro and nanoelectronics for which an integrated light source is a longsought goal but also because silicon offers the most advanced nanotechnology this will be crucial for our exploration of this uncharted frontier of semiconductor devices with unprecedented dimensions and unprecedented lightmatter interaction strengths where new insights may have profound impact on nanotechnology photonics and beyond
open and programmable accelerators for dataintensive applications in the cloud

chorys directly prioritises support for dataintensive applications in the context of the european open computing architecture by developing and demonstrating open and programmable accelerators through chorys we will demonstrate that european cloud providers and their customers can leverage open accelerators for neardata processing and asynchronous data services to improve the performance energyefficiency and cost of dataintensive applications this overall goal is aligned with the expected impact of the topic destination as chorys will contribute to the next steps of development and adoption of open technologies more specifically we expect that chorys will contribute to europe taking a leadership position in riscv based accelerators with a workforce highly skilled in hardwaresoftware codesign the consortium is uniquely positioned to take up this challenge sap europes leading cloud company with over 299 million cloud users will deploy a programmable cloud infrastructure extending chorys demonstrators which will result in orders of magnitude in net cost savings codasip europes leading riscv company with billions of chips shipped will commercialize riscv ip licenses and electronic design automation eda software subscriptions demonstrated in the projects open accelerators menta the pioneer embedded fpga efpga company which is part of the european processor initiative will contribute to the development of a european programmable storage controller the universities partners have track records of successful collaborations with recently published breakthrough results on hardwaresoftware codesign neardata processing and asynchronous data services
coding for dna storage

dnabased storage has attracted significant attention due to recent demonstrations of the viability of storing information in macromolecules unlike classical optical and magnetic storage technologies dnabased storage does not require electrical supply to maintain data integrity and given the trends in cost decreases of dna synthesis and sequencing it is estimated that within the next decade dna storage may become a highly competitive archiving technology however existing coding solutions to address various problems associated with implementations of dnabased storage systems are very limited in their developmentthe goal of this research is to develop coding methods and techniques by designing novel and advanced solutions that are specifically targeted for the unique structure and error behavior of dnabased storage systems the proposed analytical framework will allow to address codingtheoretic challenges arising in the context of synthesis storage and sequencing of dna strands to achieve these goals we aim to design codes for clustering tracereconstruction techniques errorcorrection codes and constrained codes these codes are applicable for longterm storage and recovery of data recorded in dna while overcoming the unique challenges associated with the dna storage channelwe expect that knowledge techniques and qualitative insights gained in our investigation will advance dna storage technologies capable of accommodating the massive amounts of data furthermore solving the proposed coding problems will require new methods and ideas that will also impact adjacent scientific disciplines such as bioinformatics combinatorics and theoretical computer science thus the proposed investigation is likely to lead to the development of new paradigms and directions of research that may have farreaching societal and economic impact lastly the accompanying experimental testing will allow for practical as assessments of system performance and cost
electroadsorption of naturally occurring radionuclides norm from wastewater of hydraulic fracturing with functionalized carbon aerogels as electrodes

extraction of unconventional oil and natural gas by horizontal drilling and hydraulic fracturing hf is a real alternative to worldwide oil and gas production to guarantee the energy independence as well as the transition from nonrenewable to sustainable energy however the large amount of wastewater generated rich in natural toxic pollutants such as heavy metals naturally occurring radionuclides norm salts etc concerns both stakeholder and public especially from the radiological point of view at present the water treatment methods available are not capable to remediate the radioactive contamination of hf wastewater ww nowadays electroadsorption is emerging as a powerful alternative to make more effective and sustainable the removal of pollutants like heavy metals from ww the main reason is that electroadsorption has shown excellent advantages like minimal water waste low operation cost environmental friendly highenergy efficiency high removal efficiency among others however little is known about removal of radionuclides by electroadsorption therefore it is necessary to develop new electrodes increasing the adsorption surface the pollutant selectivity the stability the regeneration as well as decreasing the resistance to ensure the removal of radionuclides in this context the aim of electronorm project is to develop novel functionalized carbon aerogel as electrodes for the removal and isolation of highradiotoxic naturally occurring radionuclides from hfwastewater by electroadsorption
machine learning and mass spectrometry for structural elucidation of novel toxic chemicals

nearly half a million known chemicals have been deemed relevant for exposure studies and an even larger number of their transformation products are likely to cooccur in the environment this mindblowing number of possible chemical structures makes it impossible to insilico generate all these structures let alone synthesise and analytically confirm them thereby limiting the discovery of novel chemicals today the structural elucidation of chemicals detected with high resolution mass spectrometry relies on databases and machine learning models trained on the known chemical space both are fundamentally illsuited for discovering novel chemical structures as a result only a few percent of the toxic activity of the environmental samples is explained by the currently known and monitored chemicals it is crucial to access the novel chemical space to improve our understanding of the origin fate and impact of these chemicals the aim of learningstructure is to turn the discovery of novel chemical structures from serendipity to routine as a steppingstone in this pursuit i will combine the fundamental understanding of chromatography and high resolution mass spectrometry with machine learning to pinpoint novel toxic chemical structures based on their empirical analytical information to significantly advance the predictive power of machine learning models for empirical analytical information i will take advantage of the candidate structures as a sample specific training set for machine learning models the improved predictive power will feed into insilico structure generation allowing to elucidate the structure directly from the empirical analytical information learningstructure will pave the way for exploration of the unknown chemical space detected from environmental samples and thereby improve our understanding of the emissions chemical processes transforming the emitted chemicals and close the gap in measured and explained toxicity
a plan towards an edna reference library and data repository for aquatic organisms navigating europe towards the next generation biodiversity monitoring

the eu mission to restore our oceans and waters by 2030 relies on robust reliable and ideally realtime biodiversity data the analysis of environmental dna edna extracted from water or sediment represents a major source of innovation in aquatic ecosystem monitoring with great potential to support the eu mission the central limitation for the routine implementation of ednabased methods are incomplete disconnected and nonstandardized reference libraries for taxonomic assignment as well as a lack of harmonised metadata to support the coordination of the eu mission ocean strategy ednaquaplan will 1 collect information on existing projects initiatives and infrastructures for aquatic monitoring in the eu and associated countries 2 provide an overview of all national and international activities of standardization and interoperationalisation of methods and data workflows and 3 assess the relevance and feasibility of the creation of a digital ecosystem of edna repositories and an integrated and dynamic reference library of marine and freshwater species that is openaccess and based on fair principles to support future aquatic biodiversity monitoring programmes and mapping initiatives the interdisciplinary ednaquaplan consortium comprises 18 partner institutions from 11 countries and one international un institute with complementary expertise in marine and freshwater monitoring edna analysis as well as data science the consortium cooperates with the large eu research projects and infrastructure such as emodnet bioscaneurope the ocean and water knowledge system lifewatch and international systems elixirebi and obis etc to maximise synergies and interoperability internationally possible implementation will be demonstrated by use cases from national and transnational water monitoring programs based on this ednaquaplan will deliver a roadmap for harmonized aquatic monitoring using edna tools in europe and beyond
a platform for assessing and bridging generative ai and human skills in secondary education

despite the recent emergence of genai and large language models llms numerous educational tools utilizing these technologies have already been developed with their numbers expected to increase rapidly users of such tools are also growing exponentially aibased educational tools leveraging the capabilities of large language models usher in a new era of education with personalized tutoring easy content creation and automatic grading as the array of available tools expands educators must acquire digital competencies to select and evaluate the most suitable options however the swift growth in genai capabilities raises concerns about their impact on students eg misinformation increased cheating ethical and privacy issues and teachers reduced social interaction job displacement and lossthe genai4ed project aims to address these challenges by developing a digital platform to consider popular aibased educational software evaluate various aspects of each tool and offer the most suitable option for individual teachers andor students notably the platform will be employed in pilot experiments in selected schools whereby students and educators will be asked to evaluate the available tools assessment will be based on a predefined set of carefully designed criteria exploring how such tools affect the students experience and how they complement the teachers skills and improve their working conditions importantly through an interdisciplinary approach involving experts in ai psychology and ethical concerns as well as teachers and parents genai4ed will utilize the results of the pilot experiments to develop policy recommendations on how to harness the benefits of genai tools best to enhance the teaching experience for both students and educators while protecting the teachers jobs improving their working conditions and creating opportunities for new teaching roles