Dragon09/odtu_chatbot huggingface dataset:
deployment of modelme innovation

the primary objective of the work performed within the proposed project is to bring our innovation to the point at which it can be successfully disseminated and exploited through a product launch our technical progress so far has been a result of rd breakthroughs over the last 18 months since july 2021 by our team of four we consider the following tasksactions necessary to reaching our main objective pre launch product and design validation iteration on user interface design iteration on innovation business model go to market revision and deployment of our technology via a web based applicationproduct validation includes the rigorous interviewing of existing partners and potential clients on the topic of modelmes technical capabilities and the design of our user interface our interviews will be conducted through video calls onsite visits and through surveys the relevance of product validation ensures that after launch customers can intuitively use the product and want to pay for itbusiness model and go to market revisions will be made prior to the launch to ensure relevancy to the current market conditions in addition product and marketing material will be created for customer acquisition and product onboardinglastly upon successful iterations of the innovation and user interface design we shall build and deploy a scalable web based product which will enable our customers to access our deep tech algorithms for usegrant resources will be channeled towards each of the tasks mentioned above
broadening the coverage of metabolites in faeces through advanced analytical strategies

the analysis of human faecal metabolites can provide an insight into metabolic interactions between gut microbiota and the host organism furthermore it can be instrumental to not only treat but also intercept or even prevent diseases the present project proposes the development validation and application of two complementary chromatographic platforms gcms and lcimqtofms in combination with solid phase microextraction spme as a greener high throughput sample preparation method for faecal metabolites study more specifically volatile organic compounds vocs and bile acids bas as a proofofconcept faeces from patients with anorexia nervosa an will be analyzed and compared to that obtained from health individuals controls aiming to identify possible biomarkers andor associations between metabolites furthermore patients with an display nutritional metabolic hypothalamic and endocrine abnormalities which can lead to them presenting modified microbiota interestingly eventhough an patients often avoid cholesterolrich food hypercholesterolemia is commonly diagnosed in an patients in this context the current project also aims to investigate possible correlations between short chain fatty acids and bile acids levels bmi and blood lipidic profile cholesterol for patients with anorexia nervosa an and healthy individuals controls individuals that could shed light into the gut health development of hypercholesterolemia and establish the microbiota role in the evolution of the disease moreover this project aims to develop simple to execute greener automated sample preparation for faecal samples that could be easily implemented in clinical settings
holistic heat energy management on ships by implementing innovative dynamic calculation models towards maximum waste heat capture and energy efficiency

the project aims to decarbonize eus fleet by improving ships heat energy system through optimization of heat flow topology with dynamic calculation model as well as including latest advancements in heat energized technologies in this project all major consumers heat producers and waste heat sources are considered furthermore the calculation model is planned to be validated by reallife onboard prototype to go further from theoretical calculations and experience thus creating a new innovative approach towards design method of heat energy system on the ships the main target is to reach 14 efficiency increase by the calculation and scale it down to prototype to validate the project is divided into three phases first phase is concentrated on researech and development of the calculation tool based on the collected onboard data from the case study ship with an outcome of new heat energy system topology with best efficiency based on limitations given by the ship owner the second phase continues with development of process and system engineering for the optimized system arrangement with an outcome of initial automation and interface principles third phase is a practical installation of prototype on board of the case study ship and validation of the calculation model vs real installation the validation will impact shipowners perception on the possibilities to upgrade their ships additionally will provide valuable experience to participating parties to strengthen eu companies position on the market with highend technology and heat energy efficiency optimization on ships the efficiency increase will help to reduce ship emissions in co2 nox sox and particulate matter which is getting critical from eu enviromnental strategies
arctic summer sea ice in 3d

arctic sea ice is diminishing with climate warming at a rate unmatched for 1000 years as the receding ice pack changes rapidly and becomes increasingly mobile the demand from academic and commercial stakeholders for accurate and timely sea ice forecasts is intensifying forecasting accuracy is enhanced with the assimilation of sea ice thickness observations from satellite altimetry however these data are currently unavailable during summer when they would be most valuable for stakeholders owing to significant data processing challenges this has been identified as a key observation gap for polar research by the ipccsi3d will address this gap harnessing deep machine learning modelling of the radar altimeter response and dedicated field campaigns to overcome the processing barriers i will integrate satellite data from multiple esa eucopernicus and nasa altimetry missions to produce the first 15 year highaccuracy record of panarctic sea ice thickness without interruptions in the summer with this unique dataset i can achieve the following goals 1 to close the arctic sea ice volume budget pinpointing the mechanisms driving seasonal decay and breakup of the ice pack and the feedbacks of sea ice loss on arctic temperatures 2 to upgrade seasonal sea ice forecasts from stateoftheart modelling systems by assimilating summer ice thickness observationssi3d will create a new discipline of sea ice research by using altimetry to study the arctic summer which is risky having led the first published pilot research in this field however i am ideally placed to carry out the project and will leverage the expertise i have gained at three international arctic research institutions to make it happen on completion this work will transform opportunities for arctic system science improving sea ice modelling forecasting on timescales from weeks to years mass budgeting and biogeochemistry studies during the critical summer melting months
how mirrorimage effects shape online labour markets

the gig economy where workers are hired through internet platforms to complete a onetime service task a gig is growing into a major labour market yet we still lack a theory of how it develops its online part including tasks to be completed at the computer eg programming or translations constitutes the first truly global labour market faced with unprecedented competition most gig workers offer their services at low rates that do not allow for insurances or building up pensions several governments therefore consider making social security contributions compulsory but can regulation at the national level protect workers in online markets or will the demand for online gigs simply relocate to lowwage lowprotection economiesbased on an interdisciplinary framework of theories on varietiesofcapitalism innovation systems and entrepreneurial ecosystems i propose a new institutional theory on mirrorimage specialization i hypothesize that education and labourmarket institutions lead requesters platforms and providers of online gig work to specialize in hiring transacting and offering those skills that are least available in their home labour markets this leads to specialization patterns in a countrys online gig economy opposite to those in its traditional labour market if this is the case my theory breaks ground for a new paradigm in institutional research of online markets and indicates that national policymaking can protect gig workers without risking the relocation of gig demandto enable this theoretical highriskhighgain contribution i will go beyond the empirical stateoftheart of singleplatform studies by collecting novel largen data on gig requesters wp1 platforms wp2 and gig providers wp3 using quantitative and qualitative methods i will go beyond the analytical stateoftheart of onetime studies and analyse panel and timestamped data to gain overtime insights into how the online gig economy unfolds
enhanced safe and sustainable coatings for supporting the planet

proplanet addresses novel coating materials solutions tackling the problem from a sustainablebusiness perspective enabling overcoming the barrier for environmental protection safety chemical improvements and circular value chains the main goal of proplanet is to design and optimise 3 innovative coatings for industrial sectors textile foodpackaging and glass 1crosslinked biopolymer oilwax microcapsules in polysaccharide matrix hydrophobic olephobic biobased coating 2 hybrid siloxane biobased coating nonstick and anticorrosion protection biobased hybrid coating 3 hybrid siloxane coating antisoiling as antireflecting ar hybrid coating the value chain of each product is optimised from raw material source to end of life of products ensuring the circular economy all coatings are designed based on safety and sustainability by design ssbd concepts and optimised with mathematical computational tools such as firstprinciplesbased models in silico models environmental fate models and sustainability assessment on top of that replication activities aided by a powerful proplanet replication tool based on datadriven algorithms and multiobjective optimization mo will promote the integration of the novel coatings on different applications supporting their route to market operating at different conditions and following an ecodesign thinking a wellbalanced consortium covering all actors in the formed by endusers technology solution providers and research organizations ensures the successful achievement of objectives which will allow a widespreading replication strategy towards efficient and safe designs for new coatings
targeting of glycosylation pathways to empower cart therapy of solid tumors

chimeric antigen receptor car t cell therapy uniquely can provide lifelong protection against tumor reemergence upon clearance of even advancedstage leukemia however for the more frequent solid tumor types carcinomas lymphomas clearance of advancedstage tumors and especially the subsequent longterm protection is only rarely achieved the main reason for this is the multipathway immunosuppressive environment that these tumors evolve to overcome the selective pressure imposed by the patients immune system this both hampers the initial attack by carts and often leads to low numbers of longterm persisting cart cells which tend to be in a state of functional exhaustion most attempts at overcoming this target particular cart cell proteins involved in individual pathways of immunosuppression however it is clear from earlystage clinical trials with such engineered cart cells that multiple pathways will need to be tackled at the same time inspired by this challenge i have chosen a radically different path we are targeting the cart cell glycocalyx ie the assembly of glycosylated structures that forms the outer layer of the cell the unique property of glycosylation pathways is that they often modulate a large range of cell surface receptor biology at the same timeexcitingly this new research line has now generated the first highly promising results with the discovery of a single cart glycogene inactivation that results in robust clearance of a benchmark highly immunosuppressive carcinoma rechallenge in mice that were cart cured from their primary tumor months earlier encouraged by these exciting results that demonstrate strong longterm functional persistence of these glycoengineered cart cells we have defined a programme to build on this finding and to explore a candidate set of further glycosylation engineering concepts in cart cells to further improve cart therapy of solid tumors
durability modelling of composite structures with arbitrary layup using standardized testing and artificial intelligence

advanced composite manufacturing is becoming crucial in the global sustainable drive for a climateneutral future as enabler of lightweight structures in for example the aerospace and wind energy sector their increased relevance has raised the importance of damage tolerance and durability of composite structures currently dealt with timeconsuming and inaccurate techniques hence the objective of dstandart is to develop fast and efficient methods to model the durability of largescale composite structures with arbitrary layups under realistic conditions loads environment new test methodologies will be developed using generic specimens to correctly quantify material parameters that determine the durability of composites under cyclical loading material characterisation will be used in highfidelity models to simulate defect growth in various layups and at various scales as a function of cyclical loading and rate to apply these models in an industrial design environment dstandart will make use of artificial intelligence ai surrogate models trained using test data from the project and historical test data to easily adapt to different design parameters and complex layups thereby accelerating the development uptake and commercialisation of advanced components two use cases have been selected to validate the modelled durability performance both in the aerospace and renewable energy sectors furthermore circularity and sustainability will be assessed via dedicated lifecycle assessment life cycle costing and costbenefit analysis this 36month 56m valued action involves 9 partners 3 universities 2 rtos 2 industry and 2 smes from four countries united kingdom the netherlands germany and france the consortium will be supported by an advisory board formed of 6 end users embracing the value chain to validate requirements guide on relevant approach to certification and finally support results uptake in tight alignment with emcc
to develop a new targeted therapy for the treatment of naive and parp inhibitorresistant brca12mutated tumors

breast and ovarian carcinomas are aggressive tumors with few treatment options and high recurrence rates about half of these tumors shows defects in homologous recombination hr repair defect in hr hrd causes genomic instability and dependence on poly adpribose polymerase parpmediated dna repair as a result parp inhibitors parpi are now widely used for the treatment of these tumors however resistance to parpi is emerging as the major obstacle to clinical effectiveness consequently many patients run out of treatment options and succumb to the disease this prompts the development of novel therapeuticsbeyond its wellknown functions in regulating metabolic processes we discovered that enzyme x maintains genomic stability in hrd cells enzyme x inhibition kills hrd cells without affecting hrproficient cell survival pointing to a synthetic lethal interaction between enzyme x and hr genes moreover we showed that enzyme x functions independently of parp in the survival of hrd cells as a result enzyme x inhibition kills naive and parpiresistant hrd cells thus targeting this enzyme has the potential to provide a new cure for hrd tumorsno inhibitors nor patents on enzyme x exist hrd tumors being a major economic burden worldwide developing enzyme x inhibitors has high innovation and financial reward potentials by screening chemical libraries we identified a top hit inhibitor of enzyme x our targetbrca project aims at improving potency and specificity of our molecule inhibitor and provides a proofofconcept on its use as a cure for hrd tumors targetbrca relies on complementary teams of crystallographers chemists and specialists of hrd tumor biology and associates structureaided drug design with the use of preclinical in vivo models our ultimate goal is to foster the development of a clinicalgrade inhibitor to be used for the treatment of hrd tumors either by licensing and codevelopment partnerships or by the creation of a startup
janus graphene supported single atom catalysts for ultrasensitive cytokine point of care sensors

cytokines such as tnf hold immense significance as protein biomarkers pivotal for diagnostic prognostic and therapeutic management across various clinical disorders like alzheimers disease sepsis and cancer nonetheless prevailing techniques like enzymelinked immunosorbent assay elisa and polymerase chain reaction pcr prove to be expensive timeintensive and reliant on specialized personnel intricate instrumentation and infrastructure furthermore the performance of present biosensing techniques necessitates refinements in terms of realtime outcomes sensitivity affordability and userfriendliness within this context the response project sets out to forge an innovative approach intertwining janus graphene derivatives jgds and single atom catalysts sacs or atozymes for pointofcare poc biosensors for cytokine detection this undertaking involves the strategic utilization of selectively and densely functionalized jgds serving dual roles i as signal transducer immobilized on a paper lateral flow electrochemical sensor lfes and carrying the cytokine bioreceptor primarycapture antibody ab1 and ii as signal amplifier jgds housing the sacs and the secondarysignal antibody ab2 which binds to a different epitope of cytokine the binding between tnf and jgdsab1 initiates the sandwich formation with sacjgdsab2 complex at the test region here the sacs catalyze the oxidation of an appropriate reporter molecule liberating electrons and thereby significantly amplifying the signal output which can be quantified through an integrated electrode system repsonse offers affordability point of care readiness and commercialization potential importantly responses strategy defines the blueprint for transitioning from the current symptomfocused and latestage diagnosis to the nextgeneration prognostic biomarkerguided preventative or therapeutic treatment management and improve lifequality of millions of people worldwide
modelling nanoparticle transport in the extracellular matrix improving drug delivery with ultrasounds

cancer is the second most important cause of death in europe with an estimated 227 million new cases and 13 million deaths in 2020 the prerequisite for a successful medicinal therapy is that the drug reaches its target and that toxicity towards healthy tissue is limited however the systemic injection of drugs leads to less than 1 of the drugs accumulating in solid tumours relying on the permeability of the blood vessel in cancer tumours the encapsulation of drugs in nanoparticles nps constitutes a promising approach for cancer treatment however the homogeneous distribution of nps in the tumour tissue remains a challenge to reach all cells in the tumour the nps must cross the extracellular matrix ecm a major component of solid tumours consisting mainly of a network of collagen fibres embedded in a hydrophilic gel of proteoglycans together they limit the diffusion of drugs across the tumour focused ultrasound fus exposure has been reported to improve the delivery of nps to tumour cells fus induces acoustic radiation force and cavitation that can lead to microstreaming or shock waves but the underlying mechanisms for the improved transport are not well understood successful delivery depends on many factors including the pathology structure and composition of the diseased tissue the characteristics of the nps and the exposure parameters of the fus making it a complex problem difficult to solve using an experimental approach in this project we will use molecular modelling to identify correlations between the molecular details of nps and ecm and fus exposure parameters with np transport across the ecm creating a predictive model for fus delivery of nps and drugs to diseased tissue the model validated by experimental data will contribute to the design of personalized medicine for improved npbased drug delivery
early detection of treatment response in breast cancer

breast cancer is the prominent cancer among women globally with over 2 million women diagnosed annually even though early detection and advancements in treatment have led to improved outcomes and survival rates still 685000 women died in 2020 it is thus fundamental to select the best treatment for the individual patient precision medicine to improve outcome and reduce side effects personalized healthcare the challenge is that predicting how well a patient responds to the therapy takes many months and is uncertain with this trialanderror approach patients can be subjected to treatments that have no or very little effect and suffer from side effects importantly precious time can be lost in finding the right treatment the proposed solution is hyperpolarized magnetic resonance hypmr imaging that may be able to detect nonresponders to chemotherapy after the first treatments much earlier than the current 34 months of a full treatment cycle thus it may allow clinicians to adjust the therapy to the individual patient to improve the outcome significantly hypmr is a novel molecular imaging modality that promises to revolutionize diagnostic radiology with a much wider perspective the project team comprises worldleading academic public and industrial partners in the field of hypmr that will conduct the necessary rd towards multicenter clinical studies and commercialization of the technique starting with breast cancer as the first use case response will have significant impacts for the sme polarize it will represent a major milestone to raise capital and investments needed for the final steps to market clinical studiescommercialization of the clinical polarizer and consumables incl the contrast agent is expected to generate cumulative revenues of more than 250m 5 years postmarket entry the societal cost savings on treatments hospitalization and qualityoflife far outweigh the cost of the diagnostic test