Dragon09/odtu_chatbot huggingface dataset:
decoding novel reaction chemistries in biocatalysis training europes next visionaries for a sustainable future

enzyme catalysis is an essential technology at the heart of industrial biotechnology expected to foster the eu economic growth and industry leadership while effectively addressing social environmental and economic needs it improves the sustainability of chemical processes and gives rise to new reactivities for multifunctionalized product building traditional chemical methods for their synthesis are typically realized by costly and environmentally unfriendly processes expanding the toolbox of available biocatalysts enabling novel reactions not yet accessible with the existing enzymes is a formidable challenge but will open exciting new avenues for applications in the chemical and pharmaceutical industries the biodeccodinng consortium will address this challenge by decoding novel reaction chemistries from the largely underexploited family of nn bond forming enzymes while addressing challenging reactions performed by cc bond forming enzymes that are currently not accessiblethe main goal of the biodeccodinng dn is to train and educate europes next 10 visionaries for a sustainable future on cuttingedge enzyme technology centered around nn and cc bond formations and to tackle technology gaps practical challenges as well as to exploit synthetic opportunities with a huge innovation potential the network is established by worldleading experts from european academic institutions and industrial partners that will together implement the training agenda this setting provides strong interdisciplinary cosupervision and intersectoral exposure in secondments to the doctoral candidates and bridges intersectoral and multidisciplinary boundaries across training in leadingedge drug discovery enzyme catalysis and process development biodeccodinng will therewith prepare the next generation of researchers for the implementation of sustainable enzymatic processes comprising cc and nn bond forming enzymes in the european biotech sector
a simulationbased framework for measuring and modeling the impact of attacks on 6genabled massive iot networks

as the deployment of 5g networks is in progress the researchers and engineers are now shifting their attention towards developing the next generation of mobile networks 6g which is expected to provide tbps wireless connectivity with ultrahigh reliability and extremely low latency less than 1ms the new generation of mobile networks which is expected to be commercialized by 2030 are envisioned to offer much wider range of applications comparing to 5g by interconnecting billions of iot devices such as extended reality devices wearable displays drones and autonomous vehicles definitely the unprecedented growth of 6genabled iot devices along with the massive emergence of connections in the future 6g communication platform will increase the security vulnerabilities for the 6genabled massive iot networks leading to a wide spectrum of known and unknown security threats therefore there is an urgent need for developing novel security solutions for massive iot networks taking always into consideration their resourceconstrained limitations before they gain the trust of all involved stakeholders and reach their full potential in the 6g era toward this direction react aims to develop a simulationbased framework for measuring and modeling the impact of attacks on 6genabled massive iot networks the proposed simulationbased framework is envisaged to be the first comprehensive iot security solution which will a become publicly available to the iot security research and industry community for reproducible experimentation and reusability purposes and b also have a high scientific impact by contributing significantly to the efforts against the urgent need for novel security solutions to protect the upcoming 6genabled massive iot networks
structure preserving limited area weather modelling

as the climate crisis progresses and we see an increase in extreme temperatures the importance of accuracy in regional weather forecasting significantly increases these regional models or limited area models lams run at the highest feasible resolution to well resolve fine grain features in the model due to the global nature of the atmosphere lams are coupled to a global forecast model which due to the larger size must run at a coarser resolution and does not see the fine grain structures this project will increase the accuracy of this coupling between lam and global model specifically the core focus is to utilise deep learning to recover accurate fine grain structures from a coarse global model to be incorporated as boundary data to the lam the philosophy followed is that if one wants to couple two models it is paramount to preserve the physical structures between the two models one may think of such structures as conserved quantities here in addition to utilising this philosophy to optimise the coupling between models in the traditional deterministic sense new technologies in structure preserving deep learning will be developed these aim to resolve the fine grain features to be qualitatively consistent with a global model ran at high resolution this is an interesting problem from a mathematical perspective as it applies expertise from numerical analysis and geometric numerical integration to develop the field of machine learningthis project has been designed to be in line with the uk met office atmospheric models and is of high research interest to them
antibiotics of the future are they prone to bacterial resistance

although several new antibiotic candidates are in the clinical pipeline the future evolution of resistance in bacteria may render them ineffective this project aims to develop a framework for forecasting the longterm effectiveness of new antibiotic candidates for this purpose we will decipher the general principles shaping bacterial resistance to a wide range of antibiotic candidates currently in development using recently developed methods in our laboratory we will study resistance evolution in bacterial eskape pathogens at unprecedented resolution and address four specific aims first we explore the shared features of antibiotics with limited susceptibility to resistance second we systematically map speciesspecific differences in resistance evolution with implications on narrowspectrum antibacterial therapies that could remain effective third we assess the clinical risks associated with resistance by studying the global biogeography and habitatspecificity of resistant bacteria finally we systematically explore the potential links between resistance evolution and increased bacterial virulence the outcomes will provide guidelines for future antibiotic use aid in genomic surveillance of resistance genes and facilitate the design of antibiotics with reduced susceptibility to resistance
frontier research competences for neuromodulation and oscillations in pain

chronic pain is a major societal and economic european burden affects one in five adults and its inadequate relief indicates a major unmet need for effective and mechanismbased nonpharmacological treatments in fresco4nopain we propose that maladaptive brain oscillatory activity is associated with persistent pain and that noninvasive brain neuromodulation may provide a novel treatment strategy for this mechanistic insight is needed we see this as the perfect opportunity to unite worldleading experts in pain neuroscience to train 17 uniquely skilled doctoral candidates dcs who will become the future generation of pain scientists fully equipped to address unmet challenges within chronic pain the dcs will be integrated in a oneofakind networkwide training infrastructure conducting frontline research on noninvasive brain stimulation that targets persistent pain based on i preclinical studies of the relevant brain circuitries ii human studies of the involved mechanisms and iii clinical studies through fresco4nopain dcs will access a unique set of basic experimental and clinical disciplines in both academic and nonacademic settings tied together by synergistic collaborations across the network an applicationbased and patientoriented mindset will permeate the consortium via the active involvement of cuttingedge medtech companies knowledge actors and endusers only such a truly interdisciplinary and intersectoral approach can provide the necessary ecosystem to go beyond the stateoftheart promote disruptive thinking while developing new methods that overcome current technological barriers in the complex field of interdisciplinary pain neuroscience fresco4nopain will deliver on urgently needed nonpharmacological therapeutic concepts for chronic pain and build on fundamental scientific insights regarding the role of neuronal oscillations in the brain processing of pain thereby potentially helping millions of people with chronic pain
a noninvasive adaptive digital therapeutic solution for posttraumatic stress disorder and other mental disorders

posttraumatic stress disorder ptsd is a severe mental disorder annually affecting 32 of the population with global marketsize estimated at 75b current treatments success is marginal costly with severe sideeffects graymatters is the first to introduce a noninvasive digitaltherapeutics device harnessing brain plasticity to help ptsd patients control abnormal brainregion activity our patented innovation uses machinelearning to convert eeg signal to an fmrilike signal of the amygdala such that patients learn to selfcontrol their amygdala activity level using affordable eegneurofeedback device initial clinicaltrials on stressresilience ptsd patients showed significant positive clinical results the founders have 25 years experience in commercialization healthcare technology with several startups exitsipos lois includes top mentalinstitutes and worldrenowned kols of ptsd psychiatry gmh was recently chosen as 1 of 8 innovative companies by nature magazine
modulation of complex lipids to promote healthy aging

aging has long been considered a passive process that could not be reverted fortunately it is now clear from genetic and pharmacological intervention studies that aging is actively regulated and can be influenced to reduce the burden of agerelated diseases such as neurodegenerative and metabolic diseases studies in various organisms established the importance of dysregulated lipids in the development of aging and agerelated diseases it remains unclear however how complex lipids and lipid metabolism causally affect aging and the mechanisms are poorly understood in my preliminary lipidomics analysis in ten different tissues of aged mice i found a striking accumulation of bismonoacylglycerophosphate bmp in all tissues while little is known about bmps one lysosomal enzyme that has been described to contribute to its production is pla2g15 remarkably knocking down pla2g15 in worms leads to a significant lifespan extension together these findings suggest a causal involvement of pla2g15 in aging i hypothesize that targeting complex lipid metabolism could promote healthy aging therefore the main goal of lipidage is to unravel the role of complex lipids specifically bmps in the development of aging and how these pathways and their downstream effects impinge on lysosomal functions and healthy aging i will use human and mouse lipid data profiles worm c elegans and apply a combination of molecular biochemical and phenotypic experiments with a focus on lipids and aging these experiments will lead to a better understanding of conserved complex lipid changes and the role of pla2g15 in the bmp synthesis cascade relevant for health and disease during aging
enhancing industrial cultivation a breakthrough approach using methylated compounds to expedite microbial growth

accelerating microbial cultivation through lag phase shortening using methylated compoundsindustries reliant on microbial cultivation face high production costs with the cultivation process accounting for 2040 of the total however conventional strategies often overlook the lag phase an early growth phase in which bacteria do not grow that significantly elongates the cultivation process and impacts production costsrecent findings arising from our ercfunded research reveal a groundbreaking mechanism for modulating bacterial lag phase duration through the addition of naturally abundant methylated compounds during the lag phase we demonstrate a strategy to expedite bacterial growth by up to 10 hours this approach previously unexplored due to technical challenges could revolutionize industrial cultivation reducing costs and enhancing product yieldour ercfunded research uncovered a novel regulatory circuit influencing the bacterial lag phase in our research of algalbacterial routes of metabolic exchange we discovered that abundant methylated compounds that are produced by algae and plants can significantly expedite the lag phase of various bacteria detailed insights into this mechanism enabled tailored treatments that shorten lag phases by utilizing methylated compounds this approach presents a safe affordable and unique solution for industry challengesin this proposal we outline a comprehensive plan to address current industrial cultivation challenges and exploit our innovative approach by leveraging methylated compounds to expedite lag phases both in bacteria and yeast we aim to optimize yield revolutionize microbial cultivation and potentially transform an industry with an expected value of 130180 billion by 2030
from seed to seedling epigenetic mechanisms of priming to design strategies for crop improvement

the overreaching mission of episeedlink is to foster a european network that empowers crop improvement through epigenetics by providing expertise knowhow and creativity in highend technologies to 11 early stage scientists and enabling them to translate scientific knowledge and skills into innovation through international multidisciplinary and intersectorial training in experimental and computational biology episeedlink will contribute to excellence in research and also timely address societal and agricultural needs this original research program combines the unique knowhow of academic experts with that of two companies to synergize research and knowledge transfer between a plant model and a crop of enormous agroeconomic importance oilseed rape episeedlink will exploit the epigenetic regulation of seed priming mechanisms to improve crop performance under threats caused by climate change ie drought through nongmo practicescrop breeding strategies have led to genetic erosion a critical challenge is to identify new genetic and epigenetic markers for crop selection programs and for bioengineering the intrinsic performance of seeds or their enhancement through farming practices referred to as seed priming strategies these include chemical osmopriming and biostimulants use that enhance germination efficiency and drought tolerance despite being a broadly adopted agriculture technique the molecular determinants of seed priming are just starting to emerge and the nature duration and implementation of plant priming remain poorly understood these gaps in mechanistic understanding have so far precluded fully exploiting the biotechnological potential of seed priming episeedlink aims to fill these gaps by 1 understanding which chromatin regulatory layers contribute to improve plant performance to environmental threats through priming and by 2 exploiting epigenome diversity to provide markers of crop traits and strategies to the seed industry
outcomes of plant invasions in deadwood fungi and insect communities

entwine aims to understand whether and how invasive plants colonize new places altering the structure of communities of fungus and insects linked with deadwood the project integrates metabarcoding phylogenetics and community ecology to sample empirical and experimental communities that exploit native and invasive deadwood species in native and invaded forests throughout lithuania exploiting longread sequencing technologies and a bioinformatic pipeline to phase barcoding markers into operational taxonomic units otus i will obtain normalised otu richness and relative abundances and compare the species phylogenetic and functional diversity estimates between communities insects and fungi exploiting and living in deadwood form entwined communities that play a critical role in nutrient cycling wood decomposition and pathogen control in addition to abiotic factors like local climate biotic factors like deadwood species and decay stage influence the structure and strength of the associations with each other and their shared habitat the abundance and quality of deadwood correlate with the local tree composition which shifts as the invading acer negundo spreads and outcompetes local alnus glutinosa trees insect and fungi species turnover or variation in relative abundances might then result from eg the local extinction of rare specialists associated with a glutinosa the introduction of new species associated with a negundo deadwood andor the increase in abundance of generalist species those changes in community structure resulting from a negundo invasions may contribute to the loss of species and their ecological functions this indicates the need to control the spread of invasive plants to prevent the extinction of vulnerable or rare species and the importance of learning the ecological roles of undiscovered species before they vanish unnoticed entwine is developed in collaboration with the life sciences centre at vilnius university lithuania
understanding the fluid mechanics of algal bloom across scales

one of the most lifethreatening consequences of global warming is the perturbation of natural ecosystems among the detrimental impacts the increased frequency and intensity of cyanobacterial blooms overgrowth of microscopic bacteria in aquatic systems seriously threaten drinking water and devastate ecosystems and the economythe challenge now is to accurately predict the formation of cyanobacterial bloom and find feasible mitigation strategies this poses a new paradigm in complex fluids and flows where rheology fluid mechanics and biophysics are intertwined across scales 1 rheological properties on the microorganism level few microns 2 mesoscopic phenomena of formation and fragmentation of cyanobacterial colonies hundreds of microns and 3 macroscopic dispersion of colonies under laminar and turbulent flows in the aquatic system meters hence fundamental knowledge of rheology and fluid mechanics of cyanobacterial bloom formation is urgently neededi will tackle this multiscale problem with a set of highly controlled laboratory experiments and numerical simulations the novel experimental setups combine rheological methods with advanced mechanical manipulation of cells tomography particle tracking flow visualization and microscopy the combination of experiments statistical modeling and simulations will result in many firstever measurements and analyses unravelling the rheological and mechanical properties of the cellscolonies and revealing details of aggregation and fragmentation of cyanobacterial colonies under various hydrodynamic and environmental conditionsthis project lays out an ambitious effort to overcome current limitations and uncover the complex multiscale interactions between rheology fluid mechanics cell biophysics and colony formation and fragmentation my findings will open new avenues in creating prediction tools and effective solutions to combat cyanobacterial bloom
cryospherehydrospherelithosphere interactions under changing climate in arctic

the rapid climate warming in arctic leads to formation of extensive offshore groundwater reserves through submarine permafrost and subglacial melt water drainage there is increasing evidence that cryosphere driven submarine groundwater discharge sgd is prevalent in continental shelf and slope regions of arctic ocean but controls of elemental fluxes through sgd remains uncertain the cryarctic project closely investigates how cryosphere driven groundwater flow occuring in timescales from days to millennium interacts with the permeable sediments silicates and carbonates in coastal aquifers and seafloor the solute delivery and associated sourcesinks of submarine groundwater flow remains unknown and are gaps in our current understanding of earths cryosphere and biogeochemical cycling the project aims to provide elemental and isotopic composition of submarine groundwater endmember through extensive analysis of marine porewater from six locations panarctic where sgd is documented through stateoftheart silicon si and strontium sr isotopic measurements of marine porewater terrestrial endmembers and other leached fractions we will be able to decipher dominant biogeochemical process occuring within the subterranean mixing zones we supplement the high resolution isotopic measurements with scanning electron microscopy and xray diffraction to identify major authigenic and detrital phases in sediments the project will be the first to couple si and sr isotopes in marine porewater and results will have implications for solute delivery through sgd and silicate alteration pathways in marine sediments through msca fellowship candidate aim to acquire skills for long term research planning advanced instrumental training form international collaborative networks and most importantly gather the attention of scientific community as well as public towards the magnitude and relevance of arctic sgd
contextualized pathways to reduce housing inequalities in the green and digital transition

the project reducing housing inequalities in the green and digital transition rehousin is committed to better understand the impacts of recent crises on housing inequalities across different european regions especially with regard to the implementation of the green transition launched by the eu the overall aim is to explore the mechanisms affecting the reproduction of housing inequalities under recent crisis conditions and the impacts of the eu induced green transition in different national contexts and along different degrees of urbanisation based on a contextualized and comparative understanding of the mechanisms reproducing housing inequalities rehousin inquiries into multilevel pathways and inclusive local housing initiatives to spark innovative eu national and local policy solutions towards inclusionary and quality housing mitigating the possible negative impacts of the eu induced green transition it conducts a comparative multilevel analysis in 9 european countries austria france hungary italy norway poland spain switzerland united kingdom focusing on attractive metropolitan regions middlesized cities and rural areas by means of a mixedmethod project design a quantitative data analysis on recent trends in housing inequalities and their relation to crises across different levels of urbanization will provide the framework for 27 local cases studies in which the impact of multilevel trajectories of housingsystem welfare regimes and environmental policy instrumentations on the reproduction of local housing inequalities and the emergence of inclusive housing initiatives are analyzed based on this rehousin compares mechanisms of differentiation feeding into policy labs aiming to formulate recommendations on how to tackle negative social externalities related the eu green transition at eu national and local levels