Dragon09/odtu_chatbot huggingface dataset:
robust industrial biocatalysts with peroxygenase phenoloxidase or furfuryloxidase activities from bacterial and fungal hosts

industrial biotechnology is key to maintain europes leading position in the global biobased market and help the transition to a green and circular economy fostering investment in innovative technologies like those to be demonstrated in robustoo and supporting biotech smes will contribute to this endeavour we aim to capitalise the results from previous eu projects that showed the applicability of three oxidative enzymes unspecific peroxygenases upos laccases and hydroxymethylfurfural oxidases hmfos to provide novel and greener production of biobased chemicals and materials to exploit their full industrial potential we will undertake the largescale production of the recombinant enzymes and the development of new robust variants adapted to the demanding operating conditions we will benefit from the most advanced technologies and knowhow of the robustoo consortium to conduct computational enzyme bioprospecting and design bsc develop microbial strains for industrial enzyme production and engineer improved enzymes followed by optimisation and pilot demonstration of target enzymatic transformations by biotech smes metgen gecco bisy and innosyn and researchtechnological centres cib uab irnas and fcba concluding with environmental technoeconomical assessment and exploitation of the developed technologies itb the new enzymes and biotransformations will represent biotechnology breakthrough solutions for i conversion of industrial lignins modified by laccase into 100 biobased resins as adhesives of wood panels and 3d printing additives increasing the commercial value of existing lignin products ii production of intermediate and fine chemicals difficult to achieve by chemical synthesis through regiostereoselective oxygenations of lipophilic substrates with upos and iii synthesis of 25furandicarboxylic acid building block from 5hydroxymethylfurfural using hmfos as a sustainable alternative to chemical catalytic processes
rebalancing disruptive business of multinational corporation and global value chains within democratic and inclusive citizenship processes

while globalization financialization and monopolies increasingly weaken democracies large companies are having an evergreater influence on how democracy is enacted in europe leading to a marketconforming capitalism firms are eluding regulation lobbying for their own rather than citizens interest abusing human rights and push the abused to withdraw from democratic processes fuelling populism some economic actors are experimenting with alternative models and demonstrating more interest in sustainability and tentative routes toward an alternative democracyconforming capitalism in this debate the application of politicalscience lenses has blackboxed large companies while the viewpoint of management scholars has usually considered firms economic gains rather than impact on society and democracy this has left a gap in our understanding of the mutual influence among large companies and democracies the rebalance project will fill this gap by investigating how large companies 1 have contributed to past and present threats to democracy 2 can promote future democracyenhancing business models and alternative organizational forms the project will identify the most effective regulatory control of economic actors which avoids antidemocratic distortions and reveals human rights violators and what makes large firms accept or resist such control ways to tackle selfexclusion from the democratic participation of victims of businessrelated human rights infringements and other marginalized categories relying on empowermentcentered partnerships between firms and other entities eg ngos whether and how companies respond to populisms and how alternative organizational forms such as social enterprises might embed and foster democracy the expected project outcomes are in line with the call for theoretically and empirically robust recommendations aiming to instill greater democratic accountability and inclusion in economic processes
research reinforcing in the western balkans in offline and online monitoring and source identification of atmospheric particles

information on atmospheric particlespm and related hazards is based on monitoring data the main metric used is pm mass this does not sufficiently account for physical chemical and biological properties of pm that determine toxicity and bioavailability such properties can only be assessed by advanced methods these are being developed in several european activities including research infrastructures actris and riurbans webasoop will reinforce in serbia coordinator vinca and partners institution irmbphib research hub by knowledge and skills related to pm monitoring and assessment with the aim of association with the infrastructures we will introduce innovative observing metrics and methods and address networking gapsthe internationally leading partners nilucsicungdeakinhave each central roles in the infrastructures and extensive knowledge of and experience with the european research system they will gain regional understanding new data and networks webasoop research and associated training will focus on particle size distribution and composition including novel organic source tracers and black carbon by online and offline monitoring and assessment methodswe will introduce oxidative potential as proxy for health effects we will generate new data and knowledge and close the information gap on pm in western balkanswe will use the new generated data for novel source apportionment this will trigger new research opportunities webasoop knowledge and data will be shared with stakeholders responsible for pollution mitigation or prevention and for compliance with european acquis further we will enhance generic researchadministrative skills of partners by dedicated training we will enable the participating institutions to become partners in discussions of the ri systems and to better liaise with the ncps who will be asked to contribute to the trainings and will be our dialogue partners when looking for future opportunities for researh
numerical investigation of landslides and tsunamis in canary islands

landslides induced by volcanic activity can lead to deadly tsunamis the urgency of developing effective hazard and risk assessments for landslides and tsunamis is highlighted by past tragic events nonetheless specific guidelines for risk assessment concerning landslides and tsunamis are currently lacking landslide tsunamis can be triggered by submarine or subaerial landslides however the complex multiphase and multiphysics dynamics of landslides interacting with the ocean lead to a large number of uncertainties that diminish our capacity to quantify the risk associated with potential landslides and the subsequent tsunamis thus the goal of this project is to reduce the uncertainties in landslide modeling waterlandslide interactions and tsunami generation this pioneer research intends to improve the accuracy of future probabilistic tsunami hazard assessments in the canary islands the project comprises two phases the first phase of the project investigates submarine landslides and their turbidity currents to gain insights into deposit shapes and triggering mechanisms numerical simulations will be conducted to study the evolution of the seabed during volcanic eruptions and the potential mechanisms that enhance landslide mobility the second phase focuses on subaerial landslides considering the interaction of air water and soil more specifically the project aims to accurately predict the energy transfer from landslides to wave generation different numerical approaches including discrete element method finite volume method and depthaveraged equations will be used to provide a comprehensive analysis of landslide dynamics from local to large scales through a case study using real field data the project will validate a multiscale numerical approach and mitigate the current knowledge gaps paving the way for a future probabilistic tsunami hazard assessment of the canary islands
exploring trichome development on tomato surface for natural insect resistance molecular characterization of a lipid transfer protein

insects like whitefly are virusvectors causing substantial crop losses worldwide they gain resistance to current commercially available pesticides which are harmful to the environment therefore there is a clear need to integrate sustainable alternatives in crop protection wild tomato species have the capacity to defend themselves by producing a wide variety of natural defense compounds that have a toxic or repellent effect inside trichomes glandular trichomes are hairlike structures on the surface of green tissues of tomato for the synthesis and storage of specialized metabolites that exhibit insecticidal properties from the site of synthesis in the plastid and cytosol these natural insecticidal metabolites need to pass barriers including the cell wall and cuticle to be accumulated in a dedicated storage compartment contrary to the current understanding of insecticidal metabolite biosynthesis little is known about the development and composition of these glandular trichomes though it appears to differ between cultivated and wild tomatononspecific lipid transfer proteins nsltps are known to transfer hydrophobic molecules lipids between membranes in plants i hypothesize that a specific tomato ltp gene affects the formation of trichomes through binding of fatty acids and transport of lipids in the cuticle i aim to study and discover the molecular mechanisms associated with the role of ltps in trichome development and gland constitution characterizing ltp mutants knockout and gland specific overexpression lines i will study these mutants in detail at the metabolome proteome and lipidome level as well as compare them to a number of wild accessions in the future this research would have implications in development of insect resistant cultivated tomato cultivars this proposal will help me become an independent researcher combining my background in plant biochemistry with knowledge on molecular biology
flexible approaches to support health through financing

one of the lessons learnt from the covid19 pandemic is the importance of flexibility in funding and organization of health systems european countries responded quickly to this extreme event by expanding the amount of financial resources available for health care and reallocating financial and human resources however there are several other challenges for health care systems that require efficient and flexible financing mechanisms to be successfully addressed this project undertakes a comprehensive analysis of health care financing mechanisms in europe by focusing on the two key stages of the process i budget allocation eg among managing authorities clinical areas ii financing of health services within a specific budget through the definition of contracts and payment rules we identify and examine the most prominent mechanisms underlying the relationship between the main challenges faced by health care systems demand shocks ageing budget pressure and their financing by employing a wide range of methodological approaches we provide evidence on the ability of existing financing mechanisms and contracts to address such challenges and study new solutions to achieve more effective efficient and equitable health care systems
modeling causes of language change and conservatism

universally human language changes over time one fundamental assumption about language change is that it originates at the level of an individual as a shift in frequencies with which a particular variant of linguistic expression is chosen over another conceiving of language change as the loss of an equilibrium in a system of stochastically used grammatical options a change presupposes an emerging disturbing factor or a cause a change can then be viewed as an adaptation process whereby in a linguistic environment affected by a disturbing factor a hitherto marginal grammatical option begins to create a certain communicative advantage and grows in frequency we might then in principle expect a fast transition to the new variant in the speech of an individual given the general learning abilities of humans however another fundamental property of language change is that it proceeds gradually over generations therefore there must be powerful conservative factors at play pushing against the communicative advantage presented by the new variant it has been suggested that the contrast between the speed of learning projected based on an individuals cognitive abilities and the attested pace of language change may be due to the social aspect of language whereby the communicative advantage of an innovation is balanced off by the necessity of group synchronization since many social coordination tasks can be completed within individuals lifetime the question stands open which properties of language are responsible for a relatively slow group coordination when it comes to grammatical shifts this project aims at understanding via gametheoretic and reinforcement learning modeling the interplay between the causes of language change and conservatism the models will be evaluated against the empirical material from three west germanic languages which includes creating a treebank of historical dutch
reading the minds eye aiinspired personalised brain models of mental imagery

how do we create mental images despite extensive research we still miss an overarching mechanistic understanding of mental imagery how do the various brain regions involved in mental imagery contribute to the unified percept in our minds eye why do we experience imagery so differently ranging from no to extremely vivid mental images in this project we propose a novel perspective on mental imagery viewing it as a personalised computational process that takes into account individual brain characteristics the task of this computational process is to progressively transform abstract object descriptions input into sensorylike visual representations output through feedback connections in the brains processing hierarchy to unravel the stages of this conversion process we will employ advanced fmri techniques to measure neural activity across the entire brain at an unparalleled level of detail using sophisticated analysis methods we will decode topographic and semantic information about the content of mental images from activated brain areas to investigate the causal involvement of specific areas we will transiently disrupt their activity using transcranial magnetic stimulation tms informed by the fmri and tms data we will develop the first personalized aiinspired neural network model of mental imagery this model will simulate the emergence of sensory representations backwards through the processing hierarchy and predict the perceived vividness of generated images for each individual by implementing the model into a brain computer interface we will enable participants to see imagined objects on a screen during fmri scanning this opens up new applications such as training the strength of mental imagery by providing neurofeedback based on predicted vividness this interdisciplinary project at the intersection of psychology neuroscience and ai will provide an integrative framework of the generation of subjective experiences in the minds eye
transcriptional regulation as a mediator of bacterial interactions in the microbiome

bacteria from the gut microbiota constantly interact with a range of abiotic and biotic factors perturbations in these factors such as nutrient depletion or exposure to exogenous microbes require specific bacterial responses that involve tightly controlled gene expression changes however the transcriptional regulation mechanisms promoting such gene expression changes remain poorly understood despite their importanceregubiome will characterize how responses to specific biotic and abiotic stimuli are regulated at the transcriptional level in two healthassociated gut bacteria one probiotic lacticaseibacillus rhamnosus and one pathobiont fusobacterium nucleatum previously linked to colorectal cancer this project relies on combining experimental platforms of increasing complexity to systematically characterize the responses of these two bacteria to defined biotic and abiotic factors and to evaluate how these responses impact host health first i will develop a novel highthroughput functional screening tool coupling crispr interference microfluidic platforms for singlecell isolation and transcriptomic profiling of isolates by applying this tool to in vitro monocultures i will reconstruct the firstever gene regulatory networks in these bacteria and identify mechanisms of response to different abiotic factors second microfluidic coculturing of these two strains with multiple other bacteria coupled with metatranscriptomic profiling will reveal the regulatory mechanisms mediating the interactions with other microbiome members lastly in vivo work in mouse models will shed light on how the host colonic environment impacts gene expression in these healthassociated bacteriaaltogether regubiome will provide proof of the importance of gut bacterial gene regulation networks to host health besides by uncovering gene regulatory mechanisms in microbiome bacteria regubiome will provide novel actionable targets for microbiota modulation strategies
europes rail flagship project 2 rail to digital automated up to autonomous train operation

to meet the increasing demand for transportation of both passengers and freight fp2r2dato will take the advantages of digitalisation and automation to develop the next generation atc and deliver scalable digital and automatic up to autonomous train operation dato capabilities in order to enhance the capacity of the existing rail networks tangible results of fp2r2dato are expected to be delivered by 2025 on key topics ato etcs hybrid level 3 and level 3 moving block digital technologies 5gconnectivity and a standardized onboard ictplatform and guidelines and methods for fast and costeffective deployment and migration of dato throughout europe through these technical improvements fp2r2dato will meet the objectives and impacts defined in the erju master plan and annual work program contribute to increased punctuality reliability and productivity of staff rolling stock and infrastructure fp2r2dato will pay attention to potential risks such as acceptance by the public synchronising with etcsdeployment and potential legal issues the overall methodology fp2r2dato uses to achieve the desired results is setup along three stages from the development of technical enablers via prototypes that lead to dedicated demonstrators at trl 67 the collaborative approach of industry suppliers railway operators infrastructure managers together with research centres and academia fp2r2dato will ensure that each of the technical enablers will be developed at a reasonable cost and will match operational requirements as well as integration innovative technologies feedback loops are organised to align research centers suppliers and railway operators throughout the project to ensure the technology developed creates the impacts aspired towards a future digitised and automated european rail system
nutribudget optimisation of nutrient budget in agriculture

in line with the zero pollution action plan and the farm to fork strategy nutribudget will develop the prototype of a firstofitskind integrated nutrient management platform called nutriplatform in various regions across europe the nutriplatform will operate as a decisionsupport tool dst for farmers advisors and regional authorities and before the end of the project this prototype as a standalone or integrated in the existing ec promoted fast tool for nutrient management will be tested and used by at least 40000 farmers across europe firstly the development of the nutriplatform will be based on the algorithms of two advanced newly developed holistic nutrimodels that quantify the impact of agronomic mitigation measures to optimize nutrient budget and flow across scales from farm to europe across elements c and nutrients n p k s ca mg cu and zn and by looking at various agronomic and environmental targets the measures will be derived from i existing knowledge including input from relevant eu projects eg the 4 on nutrient recycling from the call and ii new data from field experiments with innovative mitigation measures and combinations thereof that connect animal and crop production via agroprocessing industries in 5 pilot regions 4 nutrient hotspot and 1 nutrient deficient area in 4 different climate regions in europe secondly these measures will be linked to relevant monitoring indicators called nutrikpis for agronomic performance in different farming systems nutrient emissions and impact on biodiversity all will be done in cocreation according to a nutriactor approach with a consortium of 17 partners from 10 countries that are all experts in their respective fields thereby nutribudget will contribute to systemically optimize nutrient management across different agricultural production systems and regions in the eu to reduce pollution due to the excessive use of nutrients and nutrient losses to the environment
roughnessinduced secondary currents in arterial flows with stents

stents are tub nets of varied materials and geometries that are installed in narrowed stenotic arteries to preserve their restored diameter following surgical procedure eg angioplasty stents add a roughness element to the otherwise smooth walls of arteries thus altering the hemodynamic environment and the flow characteristics care is inspired by recent results in wallbounded flows which have shown that roughness patterns of height much smaller than the flow size may generate secondary currents scs largescale streamwise vortices comparable to the artery diameter that alter flow structure transport mechanisms wall shear stress distributions and flow drag among others due to their geometrical properties stents are ideal candidates for the generation of scs within the flow with potentially significant effects on biological processes eg restenosis care will aim at advancing our understanding of sc dynamics in arterial flows by assessing their effects on key hemodynamic parameters and analysing energy exchanges general guidelines for improved stent designs that control and modulate scs by preventing or promoting their generation will be outlinedat present roughnessinduced scs in stented arteries are largely unexplored making the proposed research particularly timely care will be based on laboratory experiments covering a range of flow conditions similar to those that can be found in the main body arteries different roughness patterns will be studied including the reproduction of an actual stent an advanced stereoscopic particleimage velocimetry system capable of nonintrusive planar velocity measurements will be used to study the sc patterns and their effects on wall shear stress distribution as well as their contribution to momentum and energy exchanges