Dragon09/odtu_chatbot huggingface dataset:
photoactivated metal oxide transport layers for indoor perovskite photovoltaics

harnessing indoor lighting available in buildings has the potential to power the next generation of internet of things creating a more environmentally and economically sustainable ecosystem to accelerate future innovation indoor photovoltaics enable this by utilising artificial light sources such as white lightemitting diode and fluorescent lamps to negate the limitations imposed by batterypowered systems among the emerging photovoltaic technologies indoor perovskite solar cells display immense promise and require further study to reach their true potential the electron transport layer an integral part of the perovskite solar cell architecture is of particular interest as its optimisation can lead to overall enhancement of device performance in indoor conditions popular metal oxidebased electron transport layers that offer solution processability tunable electronic properties high carrier mobility and favourable energy level match with the perovskite continue to suffer from high temperature processing and interfacial defects lowering the processing temperature to increase compatibility with flexible devices diversifying the metal oxide family to develop a wider choice of materials and formation of metal oxide composites to augment charge transfer and stability are some measures that can overcome the challenges of the present transport layers and further enhance their properties this study attempts to achieve this by innovatively combining low temperature photoannealing and graphene incorporation to produce high quality films of conventional and novel metal oxides that can be employed in indoor perovskite solar cells to improve overall device efficiency and stability this proposal is a focussed but significant attempt to fill the gap arising from a lack of concentrated study on electron transport materials more specifically inorganic metal oxides in the domain of indoor perovskite solar cells
artificial intelligence for traffic safety between vehicles and vulnerable road users

traffic safety is the fundamental criterion for vehicular environments and many artificial intelligencebased systems like selfdriving cars there are places eg intersections and shared spaces in the urban environment with high risks where vehicles and vulnerable road users vrus such as pedestrians and cyclists directly interact with each other by advancing starteoftheart artificial intelligence methodologies this project vevusafety aims to build a privacyaware deep learning framework to learn road users behaviour in various mixed traffic situations for the safety between vehicles and vrus vevusafety proposes a 3d environment model based on 3d point cloud for privacy protection private information like license plates and face is anonymized then within this environment model an endtoend deep learning framework using camera data will be built for multimodal trajectory prediction anomaly detection and potential risk classification based on deep generative models such as variational autoencoder additionally an active privacy mechanism will also be adopted by application of the differential privacy mechanism to help the deep learning models prevent modelinversion attack moreover the frameworks generalizability will be investigated by exploring the normalizing flows approach for domain adaption the frameworks performance will be validated at different intersections and shared spaces using realworld traffic data besides road user safety and privacy vevusafety can help traffic engineers and city planners to better estimate the design of traffic facilities in order to achieve a roaduserfriendly urban traffic environment furthermore the success of vevusafety will enhance the fellows scientific knowledge and project management skills to become an artificial intelligence expert for traffic safety and intelligent transportation systems
support to the activities of the concentrated solar thermal technology area of the set plan

the main hurdle the concentrated solar thermal technologies cst sector has been facing over the last decade in europe is the assumed level of the costs of csp power plants with a too narrow perception of its use as flexibility provider to the sole electricity systems to mitigate this the cst4all project identifies an array of hybridisation and cooperation initiatives at the interface between cst and other technologies for applications relevant to the 3 sectors electricity heat and fuels incorporating the work products of various etips wellaligned on current eu initiatives smart sector integration fit for 55 cetp and specific energy strategies across the reviewed member states to provide answers to the most urgent challenges of decarbonisation the core deliverable of cst4all consists of an intertwined set of workshops with respective industry and ri focus these shall bring together better coordinate and incentivise the interaction of main stakeholders at key technology interfaces with the csp sector building on combined technological and nontechnological improvements both the research and the industry perspectives are first analysed aiming primarily at supporting and enlarging the network of active stakeholders in the csp implementation working group in the set plan and to raise the general awareness about the role cst can play in a future sustainable energy mixthese workshops finally result in specific proposals at eulevel from a crosssector perspective to foster publicprivate funding for ri and create the necessary politicalregulatory framework conditions for the execution of the new csp implementation plan
synthetic antibody synab receptors for the detection and isolation of cyclic depsipeptide cdp toxins in food samples

food safety plays a critical role in society when it comes to avoiding food poisoning most of the attention goes to preventing microbial growth in food products however the cause of intoxication is the presence of toxins produced by these microorganisms yet standard industrial or household food processing and preparation techniques effective at removing the producing microorganisms fail to remove the actual toxins as a result these toxins which typically are not detected in routine microbial food analysis are consumed daily by the general population beauvericin bea and enniatin b enn b are mycotoxins produced on crops that can easily end up in the final food or feed products other examples include cereulide cer which is produced by bacteria and has a high prevalence in readytoeat foods multiple consequences and even fatalities have been reported due to the consumption of food contaminated with beaenn or cer and as such the detection and sequestration of these toxins is of utmost importance both in public health and economic terms as well as from a broader stakeholder perspectivedespite numerous attempts worldwide the current state of the art does not allow the production of antibodies against cer bea or enn b via classical animal immunization this hampers the creation of a fast robust inexpensive and onfield kitbased detection system for these toxins in food commodities in the current project i intend to use artificial synthetic antibodies synabs that bind to these toxins ionophoric cyclic depsipeptides to produce valuable technologies for detecting and isolating these toxins in complex food samples
signalling of minor pocket agonists at cxcr4

the following project smipax4 conducted in the academic group of jeanphilippe herbeuval univeristy of paris france is at the cross section of immunology and pharmacology moreover due to its direct application potential and the subsequent industrial placement to deepen the acquired knowledge at sanofi it is also cross sectional between academia and industry the main objective of the project is to understand the mode of action of small molecules functionally causing a reduction of immune response binding into the minor binding pocket of the g protein coupled receptor cxcr4 the signalling cascade as well as the implication of different expression levels of the target cxcr4 will be explored through different biochemical techniques proteinprotein interactions will be identified using bioluminescence energy transfer bret techniques increase or decrease of second messenger molecules will be identified using biosensors and phosphorylation states up or downregulation of signalling proteins will be measured using flow cytometry or western blotting inflammation of cells when controlling the impact of silencing certain signalling molecules will be controlled by measuring the levels of inflammation markers due to the projects implication in autoimmune and other inflammation diseases it is relevant for cluster 1 health of the horizon europe programme the project shows great potential in the area of impact due to its unique target potentially helping people that do not respond well to already approved medication both the dissemination of results producing multiple publications in peer reviewed journals talks and posters at scientific meetings as well as the potential of creating market within the eu are very probable with completion of this project
valorising magnetometry in cells

magnetic resonance spectroscopy nmr or esr and magnetic resonance imaging mri are widely used however magnetic resonance signals are low in energy and thus difficult to detect these techniques are expensive and typically only offer millimeter down to micrometer resolution diamond magnetometry potentially offers a solution the technique is based on a quantum effect and allows even the detection of single electron spins while the technique is already used for a few years in physics during my erc project this powerful tool was utilised for the first time to measure metabolic activity in living cellsthe aim of this project is to explore the commercial potential of these results and if it is deemed feasible found a startup company for exploitation as a first application we will investigate free radical generation these molecules play a key role in many biological processes including cell communication immune responses or ageing additionally they are an indicator for stress and thus play a role in many diseases including cancer cardiovascular diseases or viral and bacterial infections despite their relevance and the fact that free radical generation is often an early sign of disease they are rarely used as biomarkers since they are notoriously difficult to measure in this project we will build a prototype to be patented that can be used for demonstrations to customers this will be done on close collaboration with a user committee in order to meet the customer expectations to demonstrate the usefulness to customers for diagnosis we will conduct test measurements further we will assess whether a business model based on a product or based on services or a hybrid business model containing both is most promising
robust and accessible modelling for an effective management of agricultural soil erosion in europe

soil erosion represents a serious challenge for agricultural production and for the environment soil erosion impacts such as reduction of fertile soil alteration of the carbon cycle and pollution and eutrophication of water bodies represent a significant management concern for the european union modelling approaches can deliver indicators on the state of soil erosion impacts and its trends and scenarios in relation to climate and land use change this can help define efficient and targeted mitigation strategies by identifying the longterm controlling factors and the areas where and periods during which soil is at high risk of erosion however to define such strategies there remains a lack of modelling approaches a able to provide with longer term baseline information which to measure the success or otherwise of mitigation strategies at the catchment scale and b accessible and robust enough to be used understood and trusted by users with more or less expertise including researchers land managers and policy makers in response this project will improve improve the robustness and accessibility of quantitative methods for supporting agricultural land management the objectives of this project are i to develop an accessible soil erosion model impacterosion to support agricultural land management in europe at the catchment scale ii to apply a robust and multidisciplinary model evaluation approach to achieve greater confidence in the impacterosion model predictions and iii to identify the soil erosion controlling processes and vulnerable areas and periods to define targeted and effective mitigation strategies until 2100
striking stroke enhancing and expanding strokealerts business skills

our vision is to preserve improve the quality of life by reducing silent stroke impact we will develop manufacture and introduce the first easytouse device for alerting stroke for highrisk populations the first market is hospital use during sedation with the endstage market being home telemonitoring the company has a clear patentable product a large growing market and an expert and experienced team strokealerts intellectual property is an alerting system via continuous monitoring of hemodynamic parameters patent submitted strokealerts impact will be reducing morbidity and mortality from stroke we shall compare patients neurological outcomes with and without strokealert
disrupting purine de novo biosynthesis to fight cancer from molecules to cells to in vivo studies

according to the who in 2022 there were an estimated 20 million new cancer cases and 97 million deaths the proposed project fits perfectly into the europes beating cancer plan in particular the point diagnosis and treatment and quality of life of cancer patientsthis project combines the expertise of scientists and academic centres from five different countries in three continents who are applying their knowledge at the frontiers of biology chemistry bioinformatics biophysics and medicine to find a specific inhibitor for the atic enzyme involved in de novo purine biosynthesis we have developed a number of new peptidelike compounds and more compounds will be uncovered by bioinformatics tools and will evaluate their efficacy in inhibiting the dimerisation of the enzymeatic monomers the studies will also be conducted in cancer cell lines and in drosophila flies the outcomes can not only improve the health of society but also provide new insights into metabolic pathways in cancer the project will involve young and experienced scientists from eu countries the usa and australia scientists who have previously worked on the interactions of molecules in vitro will learn how to work with animal models and how to conduct in silico studies those who have previously used structural spectroscopy techniques in their work will learn physicochemical methods eg isothermal titration microcalorimetry itc and microscopic techniquesin addition european scientists will have the opportunity to improve their ability to communicate and present their work results in english to enter into new collaborations and to form their own international teams uptodate information about the project will be published on the websites of all consortium partners involved in this project we also plan to organise at least one live workshop every effort will be made to ensure gender balance at all levels of staff involved in the project
geotechnical derisk by genetic inverse analysis

mainly funded by taxpayers money the construction industry has a poor track record in sustainability efficiency and safety which are in many cases linked to the lack of understanding of ground behaviour the construction industry is responsible for 11 of global carbon emissions from construction embodied carbon 9 out of 10 projects experience cost overruns 45 of project cost and 60000 fatal accidents in construction yearly geotechnical uncertainty translates to overdesigns unforeseen events and impacts overall safetygeorgia responds to the opportunity to reshape the capital infrastructure and large building projects market by introducing and consolidating the concept of interactive design georgia will enhance the development and commercialization of daarwin as the pioneer endtoend digital platform based on adaptive genetic algorithm to address the ground uncertainty problem and reduce carbon footprint cost overruns and increase the safety of construction projects
screening and characterization for fast rubisco activating and heat stable rubisco activase to enhance crop photosynthesis and productivity in the future warm climate

the future warm climate is predicted to reduce crop productivity by decreasing the co2 fixation in photosynthesis which is a concern for global food security co2 fixation in photosynthesis is mainly constrained by an enzyme rubisco rubisco has several inefficiencies including inhibition of its active sites by sugarphosphate derivatives rubisco inhabitation reduces photosynthetic co2 fixation and hence crop productivity and resourceuse efficiency the removal of such inhibitors to restore rubisco activity needs interaction with enzyme rubisco activase rca rca is a crucial heatsensitive enzyme determining the efficiency of co2 fixation by rubisco and hence crop productivity and resourceuse efficiency consequently rca is a promising target to develop productive and resourceuse efficient crops for the future warm climate the limited evidence suggests that exploitable diversity in the speed of rubisco activation and heat stability of rca exists in nature however this diversity is largely unexplored thus hindering our efforts to use rca in crop improvement to fill this gap screenrca will identify and characterize fast rubisco activating and heatstable rca in warm adapted c4 grasses grasses with c4 type of photosynthesis specifically screenrca will use diverse accessions of c4 model grass setaria viridis and c4 model crop sorghum bicolor adapted to a range of temperature gradients these c4 accessions will be exposed to short and longterm warm environments to identify novel fast rubisco activating and heatstable rcas using an intradisciplinary approach melding physiology biochemistry molecular biology and synthetic biology further these novel rcas will be characterized to uncover underlying mechanisms responsible for the efficiency in rubisco activation and heatstability these novel rcas will have utility to develop climateresilient productive and resourceuse efficient crops
6g intelligent connectivity and interaction for users and infrastructures

in the context of modern technologies the transition to 6g networks faces numerous challenges therefore novel solutions must be discovered combined and tested in order to achieve distributed smart connectivity imperceptible latency virtually infinite capacity improved securityprivacy smartadaptive networking and energy efficiency the 6gicarus project will investigate combine and improve on current technologies in order to address numerous obstacles that 6g networks will face in order to define the future wireless networks fwns6gicarus is focused on fwns capable of meeting a variety of targets resulting in better geographic coverage particularly in urban areas higher transmission rates lower latency provision of diverse services processing of information generated from a massive volume of heterogeneous sources inherent resilience to counter potential security threats and making intelligent decisions 6gicarus is founded on three pillars i effective utilisation of reconfigurable intelligent surfaces suitably controlled by artificial intelligence software ii channel modelling for mmwavesubthz communications iii multiconnectivity solutions for 6g mobile communicationsthe project will generate novel research results as well as novel original hardware supported by innovative software techniques algorithms based mostly on machine learning and deep learning hardware and software will be combined and examined in realworld settings to fulfill certain situations all of which are matched with realworld applications there will be separate proof of concept studies to validate the technologies and methodologies under consideration
building momentum and trust to achieve credible soil carbon farming in the eu

the main goal of the credible project is to build momentum and trust for the implementation of carbon farming in the eu this will be primarily achieved by setting up and moderating a network of initiativesprojectsstakeholders referred to here as the network of networks non for favouring transparency environmental integrity and methodology standardisation in soil carbon accounting such a non will be responsible for pushing forward multiple discussions articulated around three main themes which practises what standards how to monitor and is expected to evolve from a mostly technicalscientific network at the onset of the project into a process catalysing policy making and business innovation toward its end the transparent open access multi actor dialogues required to build trust and cocreate solutions will be orchestrated around three annual european carbon farming summits which will present opportunities for the non to interact with the broader stakeholder community and grow to the point it would attract further fundings for long term sustainability through the action four specific objectives will be achieved o1 to build and disseminate a practical toolbox for promoting carbon farming capable of taking into account local land uses best practices and multiactor interests o2 to identify options for benchmarking and selecting standards certification mechanisms and policy instruments for carbon farming o3 to favour the establishment of a network of soil carbon data collectors and repositories to improve measuring and monitoring carbon dynamics o4 to build up processes and tools to drive conversations for the upscaling of carbon farming credibles ambition is to support the european commission and the expert group on carbon removal in the identification and upscale of solutions for soil carbon farming
rethinking images as the book of the illiterate towards a new acoustic understanding of religious art 15501650

aurart investigates auditory perception in early modern religious art by exploring the catholic debate over the gregorian definition of images as the book of the illiterate developed in italy after the council of trent 1563 drawing on a wide range of literary and figurative primary sources such as treatises on the justification of images and contemporary jesuit frescoes the project demonstrates the close interaction between seeing reading and listening in the reception of sacred texts and pictures by rethinking hearing in early modern religious art aurart seeks to fill both a thematic and a methodological gap in the emerging field of study at the intersection of art history sound studies and religion studies the overall goal of the project is to offer a new acoustic understanding of early modern sacred images which will contribute to the current transformative change leading to a new interpretation of art as a cultural phenomenon involving the whole body and its sensorium my research will be supervised by prof ralph dekoninck a specialist in the field of early modern religious art and literature and an expert in artistic theories and sensible practices related to sacred images the fellowship will be hosted at the group of early modern cultural analysis gemca at uclouvain and involves a unique twoway knowledge transfer based on sharing interdisciplinary methodologies for developing new sensory approaches to art history the results will be disseminated through the publication of four articles the development of a website and the organization of two international research workshops aurart also includes the design of a museum auditory device at the musel of louvainlaneuve in collaboration with muriel damien muselgemca the device project involves a synergetic interaction between research artistic creation and sensory heritage mediation with the aim of fostering an embodied acoustic experience of religious artworks accessible to all