Dragon09/odtu_chatbot huggingface dataset:
open innovation test bed for electrolysis materials for clean hydrogen production

cleanhypro gathers some of the most recognised experts in europe on the electrolysis field for clean hydrogen production and acknowledged facilitators of technology transfer corporate finance funding and coaching making available i the most promising and breakthrough manufacturing pilots and ii advanced characterization techniques and modelling together with iii nontechnical services through this test bed while relevant improvement metrics can be defined the potential network of reachable stakeholders counts thousands of businesses on an international scale key facts are reported below within the scope of cleanhypro several circular innovative materials and key components four main electrolysis technologies and geometries will be covered providing for the first time a single entry point for industrial partners mainly smes aspiring to answer their concerns but with minimum investment costs and reduction of risks associated with technology transfer while openingup opportunities for demonstration of materials and components trl7 and thus faster opening the market for these new products the main kpis for cleanhypro technical 20 cell productivity improvement 30 faster verification 2758 and 2279 cost reduction of technologies in capex and opex respectively 39 efficiency enhancement nontechnical 4 showcases 4 certification schemes 16 democases 100 reachable smes and 300 reachable investors innomem stems from the consideration that the development of products based on key materials and components for electrolysis require access to finance and an optimised business planning relying on a sound prior analysis of the market of the economic impacts and capacity of a company the project aims at developing and organizing a sustainable open innovation test bed oitb for electrolysis materials and components for different applications the oitb will also offer a network of facilities and services through a sep to companies
dvdreadable optoelectrochemical labonadisc as smallfactor wearable wireless medical device for obesity management

obesity is one of the most common and costly chronic disorder worldwide and is a causal or a strong risk factor for several comorbidities as type 2 diabetes t2d which is now reaching epidemic proportions to monitor multifactorial disorders such as obesity and t2d clinical evidences from more than one energetic biomarker are crucial current multiplexed systems present limited multiplicity capacities because they combine individual tests spatially separated from the others requiring complex and bulky instruments eg hplc so they are difficult to operate out of the laboratory other described tests also cannot be adapted to monitor chronic disorders because they present at least one of the following critical limitations 1 they are semiquantitative eg lateral flow test so cannot perform the analyte monitoring to the required level of precision 2 restricted to a single analyte which does not address the accepted criteria that an obesity management requires clinical evidence from multiple biomarkers andor 3 cannot integrate the microfluidic processing required for blood analysisto overcome current limitations a novel multiplexed medical device is proposed here to enable for the very first time the fully control and management of chronic disorders as obesity and t2d this will combine optics electrochemistry microfluidics and optoelectronics to monitor the most appropriate energy biomarkers succinate as novel metabolite in addition to lactate ketones pyruvate and glycaemia in a friendly and decentralised way no one has previously proposed a useful multiplexed approach as this allowing the opportunity of the control of a particular energy biomarker such as succinate which will facilitate current chronic disorders management thus this novel costeffective and portable multiplexed medical device with unique and unprecedented attributes will play a role key in the accurate management of chronic disorders
climatesmart circular and sustainable solutions for use of wood in the construction sector

the construction sector is responsible for 40 of co2 emissions 50 of all extracted materials and 35 of waste generated timberhaus will contribute significantly to decreasing these numbers and reaching europes climate policy targets by developing innovative circular solutions for sustainable wood construction timberhaus will use the considerable expertise and innovation power of the multiactor consortium consisting of key stakeholders across the value chain to realise the full circular and sustainable potential of wood construction game changing wood processing technologies based on machine learning and artificial intelligence will be developed and used in the prototyping of innovative wood construction products incorporating currently underutilized wood resources and postconsumer wood supporting the new european bauhaus holistic and circular wood building blueprints for multistory buildings incorporating local cultural traditions and design languages as well as human health and wellbeing aspects will be cocreated and demonstrated as digital pilots together with european cities and their stakeholders new knowledge on the quantitative limits and opportunities of wood as a resource will be generated to give valuable input to forest and climate policy development to support the european commissions framework for carbon removal certification timberhaus will develop a robust and costefficient methodology to quantify the carbon removal benefits of wood construction products and other materials a european observatory for wood construction will be established to provide best practise guidelines and monitor statistics and market uptake localised and eulevel decarbonisation strategies for buildings will be developed along with roadmaps for mainstreaming multistory wood buildings based on project learnings policy recommendations will be provided along with recommendations for new or updated european harmonised technical specifications and eurocodes
process intensification towards sustainable wastewater treatment with phototropic biofilms

improving current biological wastewater treatment wwt plants towards more sustainable solutions is a priority of the eu water framework directive conventional activated sludge technology faces some challenges such as high o2 demand and inevitable co2 emissions phototropic microorganisms offer a sustainable way of wwt by converting co2 to o2 and valuable biofeedstock which can further be converted to bioenergy photogranules are compact spherical biofilms which contain high amounts of phototrophs in addition to heterotrophs as a result photogranule based wwt can couple co2 and o2 fluxes from different microorganisms leading to an aeration free wwt however to utilize the true potential of this technology revolutionary reactor designs together with more fundamental understanding on photogranulanation is needed this work aims to intensify photobioreactors for wwt by using a multidisciplinary approach which combines microrhelogy and microbiology with mass and photon transport models to have more control over growth and light novel supports for biofilms will be designed in addition the project will explore the relationship between environmental conditions such as light availability and shear on microbial community composition and structure in complex phototropic biofilms by both microfluidic experiments and mathematical models the information obtained from these studies will be translated to a macroscopic level using simplified transport phenomena models to design an efficient photobioreactor the findings of this study will both advance our understanding of phototropic biofilms and pave the way towards industrialscale sustainable wwt with this project i am aiming to combine my background on design and modelling of lightdriven multiphase systems with the distinguished expertise of the host research group in wwt at tu delft while acquiring further knowledge on mass transfer in photobiofilms during my secondment at eth zurich
borderline personality disorder memory and identity in adolescence

bold minds aspires to enhance the understanding of vulnerability factors underlying the emergence of borderline personality disorder bpd with an ultimate aim of increasing the potential for young individuals to receive early evidencebased help when their mental health is at risk bold minds will achieve this by investigating whether disruptions in two aspects of autobiographical memory am narrative identity ni and involuntary am iam are associated with bpd features and problem behaviours in adolescents concurrently and over time in doing so bold minds will strengthen the understanding of mechanisms underlying the emergence of bpd in adolescence and lay a groundwork for developing evidencebased early interventions for bpd while currently limited the study of am in this field is essential for two reasons firstly because the aspects of am under investigation ni and iam are known to be involved in identity formation and emotion regulation which represent two key psychological processes that are disrupted in adults with bpd and are linked to problem behaviours such as selfharm and suicidality secondly because promising research is emerging on the use of am targets in the treatment of emotional disorder in adults and provides a strong model for future treatment development with vulnerable adolescents in addition this timely research program aligns with calls from international organizations to prioritize early interventions to promote adolescent mental health bold minds will adopt and adapt stateoftheart ecological momentary assessment and analytical techniques and work at the crossroads of clinical and cognitive psychological perspectives allowing for a multidimensional approach to understanding bpd vulnerability trainingthroughresearch and formalized training of the experienced researcher will prepare her for a permanent academic position and the founding of her own research lab specializing in am and early interventions for bpd
precision tissue biobanking made easy

large scale biobanks are essential to meet the worldwide demand for high quality tissues to understand the development and progression of disease or discover and validate novel biomarkers current biobanking protocols for harvesting and processing tissue are manual and therefore rely on experienced and costly onsite personnel imagine the possibilities of scientific discoveries in personalized diagnostics prognostics and treatment if highquality tissues could be made available from several hospitals using streamlined harmonized and automated biobanking protocols that would also allow for maximal utilization of this precious material in this poc we propose a shift from a human centered to a semi or fully automated tissue harvesting and processing protocol specifically we propose to develop further test and validate from trl4 to trl7 an augmented reality enhanced and automated tissue sampler arts a technology that is costeffective simple to operate and allows for maximal tissue utilization the arts prototype was developed within my ongoing erc stg and already enables subsamples to be selected from tissue based on invisible features such as diseased and nondiseased cells one of the general challenges of biobanking today in this poc we will include comprehensive process monitoring and sample tracking features such as position temperature and processing time to allow automated subsampling while ensuring operator quality assurance with minimal handson time we will also incorporate a tested userfriendly interface ready for industry and a potential spinoff company arts will allow biobanks to serve customers with specific and highquality targeted subsamples which will enhance the value of the material through increased reproducibility faster processing and more efficient utilization in addition arts will relieve financial burden and achieve more longterm sustainability for biobanks which typically depend on public funding
thermodynamics of synthetic biological circuits

the goal of this project will be to create a general theoretical framework to study the nonequilibrium thermodynamics of biological systems with particular focus on synthetic circuits in cellfree environments to do this we will rely on the recently developed theory of stochastic thermodynamics which makes it possible to study the fluctuating thermodynamics of smallscaled systems arbitrary far from equilibriumfirstly we will construct a framework to determine the thermodynamic performance of any given synthetic biological circuits this can be done by breaking the complicated circuits up into specific modules and derive general expressions for the thermodynamic properties of these individual modules we will first look at cellfree translationfree nucleicacid networks and subsequently extend the results to transcriptiontranslation systems and cellular implementationssecondly this framework will be used to optimize the thermodynamic performance of some of the most important biologically relevant circuits we will first focus on simple network motives such as toggleswitches and oscillators where we will study the optimal network structures leading to the correct behaviour subsequently we will move to more complicated systems such as molecular amplifiers and absolute concentration robust sensors where we will look at optimal designs but also derive general tradeoff relations between dissipation and robustnesswe expect that our results will lead to new design principles for synthetic circuits and give a better understanding of what can and cannot be done using these synthetic networks but we also believe that our results will lead to a better understanding of the motives behind the evolution of real generegulatory networks
alternative sources for high added value food andor feed ingredients

the world is facing the daunting challenge of increasing and improving the quality of its food production to match its population growth and simultaneously of making its food production system more sustainable if it wants to reach the goals set in the paris agreement on climate change more than a quarter of greenhouse gases are generated by the food production systemin the eu an additional challenge comes up since about 75 of protein production is imported this dependence on imports represents a weakness as supply chain disruptions have become much more common due to pandemic crises or geopolitical upheavalsarb has developed a highquality protein ingredient called sylpro that addresses all these challenges it valorises underused feedstock such as agricultural or forestry residues as raw material and harnesses the power of a proprietary yeast to produce a protein rich ingredient that can be used directly for human food or animal feed arbs technology can thus produce proteins both locally and on a very large scale since lignocellulosic material and agricultural side streams are available in huge quantities thanks to a robust and efficient process it also has a low environmental footprint making its product one of the protein ingredients with the lowest co2 emissionssylplant is building on the success of its demonstration program sylfeed a 4years innovative collaborative project financed by bbiju 20172021for this project arb proposes to move to the next step building its firstofakind commercial plant with a capacity of 10 ktyear of sylpro and developing market applications with various partnersupon completion sylplant will then deliver an industrial plant producing a highquality protein ingredient innovative market products in the food petfood and aquafeed sectors and a roadmap for building larger plants combining arb and fibs technologies making the vision of creating food from underused and local resources a reality
enteroviruslinked type 1 diabetes exposed mechanisms and prevention

ent1dep aims to define causal links between infections and ncds by focusing on enterovirus ev infections and type 1 diabetes t1d a robust association without proof of causality causality is addressed by a multidisciplinary multilayer approach using invitro and invivo models unique human samples and artificial intelligence to identify mechanisms and related biomarkers asking 3 key questions1 why are only insulinproducing cells destroyed by evs weak cell antiviral responses and high expression of ev entry receptors may favour ev persistence this hypothesis is addressed using human cell models stemcellderived cells organoids their genetic modifications antiev tcells and pancreas tissues from t1d patients2 why do only some individuals develop t1d after ev infection weak ev immunity may predispose to virus spreading to pancreas persistence and local inflammation triggering autoimmunity this hypothesis is addressed by analysing adaptive and innate immune responses to evs correlating these with gene polymorphisms and ev persistence in children followed from birth and who developed t1d3 how can evassociated t1d risk be attenuated by using vaccines inducing protective immunity and antiviral drugs eradicating persistent infection this hypothesis is addressed by examining samples from pioneering ev vaccine and t1d antiviral trials to develop biomarkers of vaccine vs infectioninduced immunity as surrogates of vaccine efficacy by studying whether vaccineinduced antibodies prevent evinduced diabetes in mice by correlating antiviral treatment with ev clearance and immunity to identify biomarkers for ev eradication and patient selectionthe final goal is to identify individuals at risk for evinduced t1d as targets for early interventions these outcomes may also facilitate progress in other ncds extending impact this new knowledge is disseminated among stakeholders to facilitate optimal ncd prevention and treatment
enhanced selectivity voc detection using novel gcqepas

volatile organic compounds vocs are organic chemicals that have a high vapor pressure at room temperature based on their origin and formation mechanisms vocs can be markers in many industrial processes in food production as quality markers technological indicators process contaminants in plant phenotyping as botanicalgeographical tracers authenticity markers and in crops storage as shelflife indicators vocs also pose a range of hazards to human health and the environment evoques main objective is to develop a novel photonicbased sensory system with potential to outperform the current standards and to meet the challenging requirements of atline online infield needs of agriculture food environmental pollution monitoring and industrial emissions monitoring evoque will combine gas chromatography gc quartz enhanced photoacoustic spectroscopy qepas long wavelength quantum cascade lasers qcls and midir metasurfaces to produce a compact easy to use low cost atline and ultimately online field deployable vocs analyser that will have equivalent performance to the gold standard lab based gcms evoque will leverage gcs separation of components from complex mixtures and qepass high sensitivity specificity and quantification unlike simpler gc detectors qepas will provide molecular recognition based on the specific spectral features of single vocs the system measures the target compound even in presence of interferents thus avoiding issues with poor repeatability of elution times and reducing the false positive rate relative to gc with nonspecific detectors also optical spectroscopy of many vocs is hampered by absorption by atmospheric compounds at the wavelengths of interest or overlapping absorption features of related molecules using the gc column these compounds are separated and eluted from the column at different times thus unleashing the potential of photonics for sensitive fast nondestructive measurements of vocs
digital twins and ontology for robot assisted decommissioning operations dorado

the overall aim of the dorado project is to improve safety and efficiency in nuclear decommissioning by applying digital technologies such as artificial intelligence ai and building information models bim with a dedicated decommissioning ontology in dorado a holistic digital platform based on a datadriven approach will be created integrating digital tools into a coherent suite customized for decommissioning applications once completed the platform can be utilized especially for in situ waste characterization planning segregation and packing remotely robotics and remote handling systems sampling and clearance of surfaces and structures cost estimation risk identification and knowledge management including onsite voice assistance to the fieldworkers dorado will focus on eight technologies that will be developed and integrated to be used with a common data server combining the data flow into a bim model these include eg pointcloud 3d models and change detection digital twins based alara dose estimation robot mission optimization and smart voice assistant interface after the development phase all the results will be demonstrated with data sets collected from real nuclear facilities an enduser group is involved throughout the project to ensure matching a market need main impacts are achieved by minimizing radiation exposure and risk of occupational incidents to workers and increasing the efficiency of decommissioning planning by enabling remote operations and planning this can result in significant cost reduction and optimized waste management strategies as well as increase the public confidence towards nuclear energy benchmarking digital tools with demonstrations from nuclear facilities also assists the regulators to understand the technical potential and to update regulations to cover all the changes in the operating environment
soft function simulation and evaluation of real and virtual emissions for nonglobal observables

to facilitate the resummation of nonglobal logarithms and thereby enhancing theoretical predictions for collider phenomenology i propose a project to calculate nnlo order alphas2 soft functions for nonglobal observables in softcollinear effective theory scet using seminumerical methods the proposed framework consists of two steps first the universal structure of soft and collinear divergences in quantum chromodynamics qcd is analysed to isolate singularities in an observableindependent fashion after which the remaining phase space integrations are performed numerically the objectives of the project are the release of a public software package for use by phenomenologists and the use of the universal divergence structure to relate different classes of observables and shed light on properties of qcd factorisation with the equivalence of virtuality and rapidity anomalous dimensions as a concrete examplethe project is structured into six work packages wp1 application to scet1 energytype observables without clustering effectswp2 scet1 with clustering effects wp3 scet2 transverse momentumtype observables wp4 development of a softwarepackage and wp5 exploitation wp6 communication dissemination and trainingthe project is inspired by previous efforts directed at the much simpler global observables as nonglobal observables are less investigated yet ubiquitous in collider physics eg jet observables and resummation calculations for them are only regularly performed in the large nc limit and at low logarithmic accuracy a framework to calculate soft functions for wide swathes of observables can be of tremendous service to the community the systematic separation of observabledependent features from universal structures can also help shed light on fundamental properties of qcd factorisation via eg an observableindependent analysis of glauber modes and their impact on factorisation