Dragon09/odtu_chatbot huggingface dataset:
molecular drivers of the interactions between marine algicidal kordia and diatoms from coexistence to algal lysis

interactions between marine bacteria and phytoplankton are increasingly recognized as a fundamental shaping force of microbial taxonomic and functional diversity and activity algicidal bacteria found in several marine taxa possess the ability to induce cellular lysis in marine phytoplankton research on cultured strains shows a variety of algicidal properties on distinct phytoplankton host spectra among different bacterial taxa these observations hint to the existence of an array of diverse but poorly characterized mechanisms implicated at various stages of bacterialphytoplankton warfare partner recognition triggers of lytic activity bacterial algicidal apparatus and phytoplankton resistance tools the research proposed in the diskordia project named after the roman goddess of strife discordia aims to provide a deeper understanding of the molecular aspects of the interactions between the algicidal marine bacterial genus kordia and diatoms a diverse and ecologically important phytoplankton group cutting edge techniques such as transcriptomics and untargeted metabolomics will be combined to enable naive discovery of genes and metabolites potentially involved in bacterial induction and effectors of algicidal activity and in diatom sensitivity or resistance in addition genetic tools will be applied to a model kordia strain to produce the first genetic system for algicidal bacteria in the bacteroidetes phylum and test the role of specific bacterial genes in algal lysis finally the ecological relevance of the processes identified by these methods will be explored at a global scale by bioinformatic screening of existing metagenomic and metatranscriptomic datasets from diverse marine environments together these approaches will improve our understanding of the molecular strategies implicated in bacterial algicidal activity and phytoplankton response while providing tools and a conceptual framework for future studies of microbial interactions
integrative characterisation of novel adenovirus vectors aimed at therapeutic applications

adenovirus based vectors have potential translational and commercial values and are studied as vectors for gene transfer and vaccination low seroprevalence adenoviruses are efficacious platforms for vector design warranting their thorough investigation therefore the main objective of invecta is to establish a collaborative effort for the study of scientific problems related to development of novel low seroprevalence adenovirus based vectors aimed at their therapeutic usage with an emphasis on training both experienced and early stage researchers in adenovirus research as well as establishing foundation for long term collaboration as the use of adenoviral based platforms becomes widespread there is a pressing need to develop protocols and methodologies to define the full complement of adenovirushost interactions the adenoviral interactome that may limit efficacy and compromise safety within invecta we aim to increase our understanding of novel low seroprevalence adenovirus vectors with respect to infectivity structure stability receptor usage tropism and the interaction with the blood and immune system this knowledge will allow us to evaluate novel low seroprevalence vectors at the preclinical level in areas of unmet clinical need namely cancer gene therapy and vaccination invecta presents an interdisciplinary and intersectoral network in basic and translational adenovirus research which will foster transfer of knowledge skills and technology as well as enable training in the field of basic and applicative adenovirus biology to maximize knowledge sharing invecta will second researchers within consortium organize internal workshops and training sessions and strongly encourage participation in specialized workshops schools and conferences according to the open science model
quantitative rectifiability from vitushkins conjecture to manifold learning

for compact planar sets an analogue to the classic travelling salesman problem is when can all points in a compact set e be traversed by a rectifiable curve and how long should such a curve be p jones came up with an answer in his influential analysts travelling salesman theorem atst recent work by the pi and collaborators suggest that fundamental questions at the interface between geometric measure theory gmt harmonic analysis ha pdes and machine learning ml have at their core establishing higher dimensional analogues of jones atst this proposal takes up this challenge by focussing onto three concrete investigations 1 we aim at solving a longstanding and notoriously difficult conjecture of vitushkin on the connection between analytic capacity and favard length as a result of our strategy we will prove a quantification of the classical besicovitchfederer projections theorem 2 we study the interplay between the geometry and the differentiability structure a set can support resulting in a a geometric characterisation of domains admitting a sobolev trace theorem and b a geometric converse of rademachers theorem which answers a notable open question in the davidsemmes theory of uniform rectifiability 3 we study the geometry of point clouds by developing a coronatype construction which tests whether the data points lie near a parametrisable surface this is a way of testing the manifold hypothesis relied upon by most nonlinear dimensionality reduction algortihms in data analysisour framework provide a common language within which we tackle these diverse issues hence achieving our objectives will not only result in major subjectspecific breakthroughs but just as importantly will develop and expand this language thus providing fertile ground for multidisciplinary interactions to take place
datapact compliance by design of dataai operations and pipelines

datapact develops novel tools and methodologies that enable efficient compliant ethical and sustainable dataai operations and pipelines datapact delivers a transformative approach where compliance ethics and environmental sustainability are not afterthoughts but foundational elements of dataai operations and pipelines datapact contributes to the design implementation and management of dataai operations and pipelines by embedding compliance privacy and environmental sustainability at their core design it delivers compliance by design for dataai operations and pipelines by developing innovative technical tools datapact compliance toolbox and toolsupported methodologies datapact compliance framework for compliance assessment and realization of dataai pipelines designed deployed and executed through a set of pipeline management tools and techniques datapact complianceaware dataai pipeline toolboxdatapact validates its core results through a strong selection of seven complementary use cases offered by smes large companies and public sector organizations in relevant areas including media and entertainment healthcare smart cities law enforcement and security customer relationship management manufacturing and public data datapact helps them ensure straightforward and costeffective compliance with existing and emerging regulations and guidelines shorter timetomarket for compliant data solutions fair and unbiased datadriven systems respect for privacy and other fundamental rights and lower and transparent environmental impact for intensive dataai pipeline operationsdatapact gathers a balanced consortium of 18 partners from 16 countries consisting of two large companies two public sector organizations four smes two research centers and seven universities covering relevant aspects related to legal ethical social environmental and technical compliance of dataai operations and pipelines
building selfsupporting allliquid hierarchical constructs using polysaccharide nanoparticlesstabilized interfaces

liquids lack the spatial order required for advanced multifunctional materials with spatial resolution however selfsupporting structured allliquid multiphase systems would create a new class of biomimetic and reconfigurable materials this can be achieved by assembling nanoparticles nps at the liquidliquid interfaces providing enhanced interfacial elasticity and stability however npsstabilised multiphasic materials currently suffer from low mechanical strength owning to the limited particle concentration that can be achieved at the interface ultimately limiting the structureproperty space to remove these limitations interlayer sets out to localise nps at the interface with much higher concentration via novel advective processing for the first time enabling nonequilibrium kinetically trapped stabilized states this will impart enhanced interfacial and bulk mechanical properties while offering a unique and materialefficient route to create novel selfsupporting allliquid hierarchical constructs the choice of polysaccharide nanoparticles pnps in interlayer isolated topdown from plantbased sources offers a promising platform with adaptability in particle shape size and surface chemistry pnps are also a sustainable alternative for fossilbased surfactants and inorganic particles and are gaining increasing attention from industry interlayer will establish static state diagrams linking pnp physicochemical properties to the multiphase material structure objective 1 elucidating the physicschemistryprocessing relations will allow the production of novel selfsupporting allliquid hierarchical constructs stabilized by pnpsladen interfaces objective 2 these constructs will then be used to build multiphase materials with more complex structures and advanced functionalities via 3d printing longterm vision interlayer will pave the way to the nextgeneration sustainabilitybydesign materials contributing to a more sustainable world
gapplasmon electrochemistry coupled with photoinduced enhanced raman spectroscopy to probe oxygen vacancy dynamics insitu and hot charge carrier kinetics for photoelectrochemical co2 reduction

photoelectrochemical co2 reduction co2 er is a promising technology to mitigate the everincreasing co2 levels in the earths atmosphere as well as to produce chemical feedstocks simultaneously though tremendous research has been undertaken in the recent past to enhance the efficiency of co2er still little known about co2er reaction pathways selectivity and the role of active sites which impede the largescale implementation at the industrial level it is well known that the surface structure strongly influences the electrocatalytic activity of electrode materials thus the presence of defects for instance oxygen vacancies vos drastically alter the surface physicochemical properties of metal oxide mo based electrodes and play a crucial role in defining the overall performance of co2 er therefore it is indeed necessary to better understand the vos formation healing and associated reaction kinetics here i introduce photoinduced enhanced raman spectroscopy piers coupled with gapplasmonassisted electrochemistry as a powerful tool to probe the vos and associated charge transfer dynamics of mo electrocatalysts plasmonic nanogaps are ideal for the extreme localization of light and they generate intense electric fields in confined volumes such a small gap volume dramatically enhances the lightmatter interaction and enables the creation of single moleculelevel spectroscopic probes therefore using the combination of gapplasmon probe electrochemistry and insitu piers the current proposal aims to elucidate the underlying reaction mechanism of co2er at active sites vos as a result new strategies may be unveiled to design and tune the active sites on mo electrode surfaces for efficient co2er therefore the study is not only limited to co2er but also provides significant insights for other important photoelectrocatalytic applications as well for instance fuel cells
glycerol and nitrogen conversion through electrochemistry

the current climate crisis caused by greenhouse gas emissions urgently requires sustainable chemical processes ammonia a critical chemical for fertilizers as well as an emerging energy carrier has a significant role in the transition to renewable energy due to its high hydrogen content and energy density however the conventional haberbosch process for ammonia production is highly energyconsuming and polluting my ongoing ercstg is dealing with lithiummediated electrochemical nitrogen reduction reaction enrr as a more sustainable pathway towards ammonia production but we as well as the overall scientific community are facing challenges like low nitrogen solubility poor selectivity and dependence on critical raw materials crms ginny project proposal addresses a novel hybrid electrolyte system combining polyethylene oxide and glycerol to boost nitrogen solubility and the process is potassiummediated thus avoiding the use of lithium additionally ginny integrates an anode process for the oxidation of glycerol a biodiesel industry byproduct that urgently needs strategies to be converted into highvalue chemicals like dihydroxyacetone and glyceric acid key intermediates for pharmaceuticals and fine chemicalsbuilding on pioneering work from my ercstg project as well as from our recent fundamental studies on potassiumbased batteries ginny aims to obtain a new generation of flowcell devices they will boost ammonia and useful chemicals production efficiency through a sustainable and economically viable technology featuring crmsfree components and reduced environmental impact also exploiting a continuous interaction with two supporting companies the dualobjective strategy of ginny promises to significantly contribute to the global shift towards greener chemical processes
strengthening research in armenia for energy transition toward climate solutions

a key tenet of the european green deal egd is to build clean and renewable energy capacity as a key step toward decarbonisation while providing energy security planning and implementing the transition to a decarbonized sustainable and resilient energy regime is a complex technical social political and economic process in the case of armenia its landlocked and tense geopolitical position in the south caucasus adds to the complexity of its energy transition efforts streacs aims to enhance the research capacity in armenia to support the countrys efforts to accelerate its energy transition toward clean and renewable energy sources while enhancing its energy security importantly such enhanced capacity will also enable armenia to become better integrated into and a more productive actor in the european research area streacs will facilitate the transfer of knowledge exchange of best practices and inclusion in domainspecific academic networks from research institutions and partners in the eu
sustainable hydrogen powered shipping

the general objective of shyps is to support the decarbonisation of the shipping industry by leveraging on previous and ongoing work and investment made by viking and some consortium members it will develop a hydrogenbased solution which can be adapted to multiple types of vessels and in some cases can already achieve imos target for 2030 and 2050the project will develop a i novel hydrogen storage intermodal 40 iso ctype container ii the complete detailed design of modular containerised powertrain based on optimised pem fuel cells and iii their dedicated logistics on one hand the project will define a logistic based on swapping prefilled containers on the other hand it will define a perspective scaleup of the storage capacity and the supply applied to the port of bergen usecase this will allow to kick start a supplychain without waiting for the full infrastructure to be in place we show how this approach can already support a remarkable part of the vessels in the eu waters the project will use the window of opportunity of 1 vikings newbuilds ocean cruise vessel to install the storage system onboard with the complete gas handling and energy management system and test it during the shakedown cruise by 2026 with a limited power fuel cell when the 6mw will be in place pendent investment decision by viking this will allow to cut 50 of emissions in a 14 days fjord cruise the midterm outcomes are remarkable since viking has a building program of 6 ocean cruise ships by 2030 and several river ships with the right logistics in place the iso container technology can develop in hundreds of units per year in the meantime the upscaled design of the container from this project will approach more segments in sea and iww application and look to hundreds of vessels in the order book of commercial fleets the valuechain include lh2 suppliers giving the opportunity to speed up a supply of thousands tons of lh2 per year in the next 20 years
highthroughput combinatory drugs testing on in vitro 3d cells model platform

drug combinations can lead to the discovery of novel drugs by increasing efficacy or lowering toxicity through synergy this can boost existing drugs rescue drug candidates and accelerate drug discovery for yet poorly addressed diseases however predicting synergy is difficult and finding synergies requires highthroughput screening hts in advanced cell models current solutions propose either hts in 2d cell cultures or low throughput assays in 3d cell cultures but not bothon the basis of a technology developed in the ercfunded abioevo project we devised an innovative microfluidic platform for 3d culture and hts of drug combinations miniaturization densifies routine 3d assays resulting in a throughput increase of 10 to 100 times fluidic automation reduces liquid handling 500 times for a 100x100 drug library at a 10point doseresponse combinatorial screening furthermore 3d culture models better predict later physiological responses thus increasing the success probability of downstream drug development stages we have shown doseresponse measurements of 144 antibiotic combinations on bacteria on a single chip in this poc we aim to demonstrate the applicability of our technology to human cells and benchmark it based on existing screens for breast cancer cells we will adapt the cell culture conditions and data analysis perform market analysis and examine industrialization feasibility this will put us in a position to create a spinoff to reach the preclinical drug screening market and identify the most promising therapeutic areas indeed the technology has the potential to screen for synergistic drug combinations at an earlier stage of the drug discovery process thanks to miniaturization and automation while providing a more reliable cellular response for later stages thanks to 3d culture
the german network primo levis correspondence with german readers and intellectuals

primo levi 19191987 one of the most important witnesses of the holocaust has been studied increasingly over the last three decades levi is currently recognized as one of the few italian thinkers of essential importance for the understanding of the 20th century as a whole the levinet project aims to provide the very first edition of a significant portion of levis multilingual correspondence the edition will be open source and hosted on an online platform it will concentrate on levis german correspondence the epistolary exchanges that took place between levi and his germanspeaking readers interlocutors friends survivors and former oppressors from 1959 to 1987 this correspondence constitutes a stunning epistolary network between him and many germanlanguage correspondents including the translator heinz riedt the philosopher jean amry the historian hermann langbein and the politician hety schmittmaass it consists of a rich and vibrant discussion on themes such as guilt the possibility of overcoming the past and the consequences of that past on the present what is at the heart of this network is the rebuilding of a postwar european identity in short this project uncovers a new and decisive crossroad in european cultural history thanks to the authorization of primo levis heirs it will be possible to access levis private archive for the first time and so to have a complete view of his german network the planned opensource edition will include a philological transcription and a semantic analysis of each letter a graphic visualization of the german network indepth biographical information for each correspondent a timeline and a map and a series of thematic itineraries this edition will provide a brandnew narrative in studies of primo levi and unique core material for literary scholars and historians moreover it will be an innovative didactic tool for the international community of teachers students and readers
quality assurance for ai

the adoption of ai technology is growing faster than ever tripling from 2017 to 2021 mckinsey risks of ai incidents in particular with ethical biases prediction errors and cybersecurity are rising current ai quality tools are insufficient and rely on manual testing leaving a gap that aiml engineers cannot meet in terms of workload costs demand at the needed paceto address this need giskard is developing an opensource and saas solution for companies that need quality assurance of their ai models it provides a software platform for automated ai quality testing inspection remediationas a member of afnor the french national standards council giskard is committed to becoming the leading european software provider to help organisations prepare for the upcoming eu ai act eic support is crucially needed to achieve this in this project giskard will optimise and validate its ai testing solution and extend it to more use cases such as time series computer vision
investigation of mechanical properties reversing energy absorption ultrasound monitoring and identification of progressive failure behavior of 4d printed meta structures

using additive manufacturing methods and the capability of introducing meta structures by four dimensional 4d printing technology the study of smart reinforced meta structures srms is one of the most attractive areas of research literature survey reveals that there is the lack of comprehensive research in this area therefore there is a good potential to improve the design of meta structures using fiberreinforced composite materials and to optimize and improve the quality of engineering structures the proposed research program will deliver a novel robust efficient and accurate methodology for designing the 4d printed reinforced meta structures with nonlinear damaged structural segments in addition for identifying the existence of a certain damage type the ultrasonic wave actuation will be employed which has never been applied on composite meta structures before to proceed the project the 4d printer set up will be developed for fabricating the srms lattice structures for the first time to examine the capacity of absorbed energy the fabricated smrs will be undergone the virtual and real experimental tests realization of the results of this research will make it possible to design structures with high energy absorption capacity that have suitable mechanical properties including higher special absorb energy to ideal weight to characterize and monitor the potential damage mechanisms formed in the structures ultrasound measurements will be employed for the first time in tessellated composite structures for this aim after calibrating ultrasound sensors at different level of applied compressive load the piezoelectric transducer excites propagating waves within the composite meta structures the outgoing reflected and transmitted waves will be used for on quantifying and identifying damage