Dragon09/odtu_chatbot huggingface dataset:
biological resources certifications schemes

biorecer aims to ensure the environmental performance and traceability of the biological feedstock used by the biobased industries deploying guidelines to strengthen the current certification schemes within this approach the added value the use as well as social acceptance of bioproducts will be increased to fulfill this goal biorecer is structured in three main technological pillars 1 to develop a multidimensional assessment framework for an aggregated analysis on the biological feedstocks and their associated supply chains 2 to create a biorecer innovation ecosystem livinglab with a multiagent approach testing the framework in 4 biobased systems supply chain cases of study and 3 to use all this knowledge to complement current certification schemes including new criteria for certifying biological resources sustainability origin and traceability and ensure applicability at eu and global scale the transition to a biobased economy is expected to deliver substantial environmental and economic benefits specifically biorecer will assess the impact of current and adapted certification schemes on consumers and biobased industries stakeholders wtp along with industries and consumers acceptance of new biovalue chains from biological feedstocks including residual feedstock and waste the project proposes first to design and develop a multidimensional framework to analyze and define the assessment of the environmental performance of biological resources and traceability that will be subsequently validated in 4 full biobased systems and applicable to a wide range of biobased value chains this approach will be unfolded by the joint creation of two levels of interaction a physical one through the creation of a bioresources stakeholders platform brsp and a digital one through a biorecer ict tool bit to amplify the scope of the project
digital optical computing platform for neural networks

artificial intelligence humanitys new frontier has dramatically progressed during the past decade due to the introduction of deep learning deep learning applications usually require vast amounts of computing resources but microelectronics are encountering physically fundamental bottlenecks in speed energy consumption heating and interconnect delay which can no longer be resolved by scaling the end of moores law urgently calls for the introduction of new devices new integration technologies and new architectures to efficiently accelerate deep learning applications recently optical neural networks onns based on photonic integrated circuits have shown great potential as an emerging computing architecture beyond von neumann and moore to overcome the bottlenecks in their microelectronics counterparts yet the onn concepts and demonstrations so far are encountering severe obstacles such as limited calculation precision repeatability scalability and compatibility with microelectronics these obstacles are deeply rooted in the analogue computing architecture of the existing onns insufficient signaltonoise ratio due to accumulated noise and crosstalk in the system dolores aims to explore and develop a radically new digital optical computing platform to create a new class of processors namely a digital optical neural network donn processor that is fundamentally different from any onn scheme and solves the aforementioned obstacles integrating the best of photonics and electronics dolores is expected to revolutionize optical computing and in the longterm vision enable new possibilities that are barely supported by todays computing hardware if successful dolores can pave the way for a new era in ai drastically accelerating neural networks and deep learning applications which have the potential to transform many sectors of our society including healthcare finance and transportation
gated twisted 2d superconductor devices for quantum technologies gtscon2d

gtscon2d delves into the exciting realm of superconducting sc twistronics where the manipulation of the twist angle between the layers has opened up new avenues for investigating unconventional superconductivity quantum transport and emergent phenomena a significant research gap exists in understanding and harnessing the unique properties of twisted 2d sc materials gtscon2d will bridge the scientific gap through a correlated experimental and simulation approach its technological advantage lies behind the inherent sc nature of the planned materials which is expected to lead to higher operating temperature a critical condition in quantum computing application the primary objectives of gtscon2d are to unravel the quantum phenomena and electronic states that arise from stacking and twisting sc layers at precise angles and to explore the sctoinsulating switching properties by applying vertical gate field gtscon2d is a multidisciplinary project in nature and includes the development of 2d sc twisted device fabrication and carrier transport characterisation gtscon2d will benefit from close collaboration with a simulation team in the host which will provide insight into the properties of twisted sc structures and the impact of gate field on those properties discoveries in 2d sc materials will accelerate the development of quantum technologies within the eu quantum and graphene flagships goal turn wonder into action gtscon2d contributes to expanding europes leadership and excellence in this research area to starting a competitive european industry in quantum technologies and to making europe a dynamic and attractive region for innovative research business and investments in this field this fellowship will help me to improve my scientific transferable and leadership skills such skills will assist me in achieving my primary goal of becoming an independent research leader and improving my employability in academia
personalised adaptive medicine

personalised drug formulation is a hot topic but state of the art approaches are limited by low scalability cost and regulatory hurdles while current polypill formulation efforts are hindered by liquid form or hot melt addition approaches posing stability issues these bottlenecks carry a great societal price as the synergic boost of drug combinations was recently demonstrated to reach significant improvement in treatment outcomes while keeping active substances in the ideal physiological concentration window is known to maximise efficiency and reduce side effects also polypharmacy is a real problem leading to dosing errors and significant loss in patient adherence finally while big data health it system concepts on the far horizon hold potential to gather the large amount of reliable dosagepatient data required for evidencebased personalised medicine the technology to deliver such data welltracked patientdosing procedures with bidirectional digital information flow is missing the peramedic project proposes to resolve these problems with a breakthrough solution a standalone drug formulation system for personalised medicine offering locally prepared individually customised segmented release polypills with an inherently digital technology interface the system relies on integrating several novel technologies personal release profiles in situ 3d printing of release matrix using adaptive toolpaths and ultraprecise multichannel powder dosing of drugs into sealed microcompartments the envisaged device would be a desktopsize pillcapsule printing machine using canisters of powdered drugs and bioresorbable polymer matrix material application scenarios would be first clinical settings then at later stage pharmacy locations and medical practices such as gps office peramedic will deliver a labscale proofofconcept prototype system of the functionally combined novel technologies with a preview design of the future technology
a holistic framework in the quality labelled food supply chain systems management towards enhanced data integrity and veracity interoperability transparency and traceability

alliance represents a paradigm shift in the food supply chain systems management for the combat against food fraud distinguishing from the traditionally approaches that leverage monolithic digitalized logistic solutions and standalone fsc interoperability protocols alliance aims to provide a holistic framework that safeguards data integrity and veracity enhances traceability and transparency and reinforces interoperability in quality labelled supply chain of organic pdo pgi and gi food through innovative technology solutions and validated approaches such as distributed ledger technologies supported by iot sensing devices providing extensible anchors to interoperability protocols and use of insitu portable rapid testing devices to detect adulteration and verify food origin and authenticity and fosters evidencebased decision making through ai and ml for preventative interventions and actionable planning the proposed framework will improve social and economic sustainability of quality labelled food supply chains by ensuring quality authenticity increasing food safety while also considering climatic and environmental impacts of food products the technologies to be employed in this project will be described and demonstrated in detail to reach higher technology readiness levels trls and enable smooth and rapid adoption by all stakeholders
laser digital transfer of 2d materials enabled photonics from the lab 2 the fab

to unveil the true potential of graphene and 2d materials and address the increasing demand for industrial applications it is essential to develop upscaling growth technologies which preserve the pristine quality at large wafer size and enable the waferscale integration of the material with a standardized process therefore a green and solventfree technology offering the solution to transfer single layer graphene and 2d materials in a single step preserving the same quality in wafer scale processing constitutes a major breakthrough with the potential to disrupt all the market segments associated with the emerging applications this project l2d2 builds upon the ip generated within the h2020fetopen project leaf2d to deliver the first scalable digital process for growing and integrating graphene gr and the most prominent 2d materials including mote2 and ws2 in terms of optoelectronic properties quality and uniformity onto si photonics and cmos compatible substrates ondemand in particular l2d2 will deliver a twofold technological breakthrough 1 the technology to upscale gr and other 2d materials on the 8inch scale at industrial grade quality 2 a laserbased singlestep and green printing solution for waferscale integration of 2d materials the exploitable outcomes of l2d2 will lay the foundation for a deeptech business model which will secure the foreground of the project and transform it to innovations with high exploitation potential the business model will be realized through the creation of a spin out with a team of cofounders encompassing highly skilled entrepreneurs with equal expertise in technology innovation and business the spinout will follow a viable and fast commercialization pathway relying on strategic corporate agreements with the world leading companies in graphene and si photonics as well as on ip exploitation
heavy and extractive industry wastes phasing out through esg tailings upcycling synergy

the hephaestus project is built around one key overarching objectiveto develop a set of scalable and tuneable unit operations to be built as integrated processing plant featuring the capacity to treat multiple process wastes deriving from primary mineral and metallurgical primary and secondary streams the unit operations arecleantech electric furnace to transform the eaf and aod dust into metal alloy to be immediately remelted process supported with streams of fines byproducts from the mineral primary extractions construction aggregates and dimensional stoneezinex process to extract the zinc present in the dust of the furnacefibre drawing for mineral wool manufacturing out of the process slag in molten statecatalytic conversion of co2 gas into methanol or formic acidammoniaammonium carbonate aac and methanesulfonic acid msa based hydrometallurgical processes to produce a recyclable ferich residue and to recover metals egeg zns from eaf dustthe project is targeting primarily smallscale applications order of magnitude 10 k tons waste dust per year to cope with the typically fragmented european process size such scale is matching the waste volumes and differentiation and granting positive environmental and economic sustainability through the valorisation of different streams of byproducts at low operational and capital expenditure ensuring vast replicability and short roiproject will be demonstrated in two pilot applications in greece and italy with the purpose of creating awareness on the business potential and to generate the conditions for a longterm exploitation leading to meaningful reduction of wastes for the extractive and steel industries
virtual environment and toolboxing for trustworthy development of riscv based cloud services

vitaminv aims to develop a complete riscv opensource software stack for cloud services with isoperformance to the clouddominant x86 counterpart and a powerful virtual execution environment for software development validation verification and test that considers the relevant riscv isa extensions for cloud deploymentspecifically commercial cloud systems make use of hardware features that are currently unavailable in riscv virtual environments not to mention the lack of specific riscv hardware these features include the virtualization cryptography and vectorization for which vitaminv will add support in three virtual environments qemu gem5 and cloudfpga prototype platforms vitaminv focuses and will provide support for epibased riscv designs for both the main cpus and cloudimportant accelerators for memory compression we will add the compiler llvmbased and toolchain support for the isa extensions moreover novel approaches for the validation verification and test of software trustworthiness will be developed consideringvitaminv will port and evaluate several cuttingedge vmms and container suites ie vosysmonitor kvm qemu docker rustvmm kata containers cloud management software ie openstack and kubernetes together with their software and libraries dependencies eg jvm python and ai ie tensorflow and bigdata applications apache spark these software suites are representative of the three cloud setups that will be demonstrated classical openstack modern kubernetes and serverless rustvmm kata kubernetes the cloud setups will be benchmarked against relevant ai ie google net resbet vgg19 bigdata tpcds and serverless applications functionbench serverlessbench vitaminv aims to match the software performance of its x86 equivalent while contributing to riscv opensource virtual environments software validation and cloud software suites
innovations for vaccines against helminth infections

infections with parasitic worms helminths continue to cause a massive global health burden yet effective vaccines to enable control and elimination of helminth infections do not exist primary reasons for this are that target discovery approaches are not welldeveloped protective immune mechanisms are only partially clarified at best production platforms tailored to specific helminth vaccine requirements are not available and a pipeline for selecting and rapidly progressing preclinical and clinical vaccine candidates is generally lacking moreover controlled human infection models are only now being developed and optimized for some of the most important human helminths these models have not yet been widely implemented in vaccine development programs to datethe objective of wormvacs20 is to establish an effective pipeline to support helminth vaccine development focusing on schistosomes and hookworms and ultimately the control and elimination of some of the worlds most devastating and persistent neglected tropical diseases ntds we aim to achieve this through the development and application of an innovative approach leveraging controlled human infection models novel platforms for helminth vaccinevaccine antigen production experimental animal models and improved target discovery methodology applying stateoftheart immunological profiling to identify correlates and signatures of protection wormvacs20 will advance scientific and clinical knowledge of host immunity in response to helminth infection apply innovative and sustainable platform technologies tailored to the next generation of effective vaccines against helminth infections of global importance the project will produce a diversified portfolio of hookworm and schistosome vaccine candidates ready for progressing to clinical testing and conduct a phase 1 clinical trial to advance an mrna platform based schistosomiasis vaccine
triangulated categories and their applications chiefly to algebraic geometry

there are two components to this project 1 develop and extend the striking new theory created by the pi in the last few years which studies triangulated categories via metrics and approximations 2 build on very recent work to better understand which functors are fouriermukai and which arent in the case of 1 the novel idea of appropriately using metrics has already allowed the pi to prove several difficult conjectures the most recent just a few weeks ago the potential of the new theory is immense and this project aims to extend the scope of the methods and apply them widely the project also aims to work out the implications of a surprising theorem proved by the methods which shows that the derived category of perfect complexes and the bounded derived category of coherent sheaves are constructible from each other as triangulated categories by an explicit recipe this theorem flies in the face of accepted wisdom which viewed the two categories as totally different thus a whole body of work analysing the many differences between these derived categories needs to be carefully revisited and reconsidered in the light of the new construction the fouriermukai transforms of 2 have a long and venerable history with beautiful work by many authors but there were novel techniques introduced in a couple of recent articles and the project plans to deploy them more widely the aim is for a breakthrough in the area leading to a better understanding of which exact functors are fouriermukai and which arent
preparatory phase for the einstein telescope gravitational wave observatory

einstein telescope et will be the european thirdgeneration 3g gravitational wave gw observatory designed to observe the universe by covering the whole spectrum observable from earth with interferometric gw detectors et will put europe at the forefront of the gw research being the first and most advanced 3g gw observatory europe will take the lead in the newborn multimessenger astronomy by combining information delivered by et with optical ir uv gamma cosmic ray and neutrino telescopes observations et will impact on our fundamental physics knowledge and our understanding of the fundamental interactions governing the evolution of blackholes and neutron stars the et preparatory phase etpp will address a number of fundamental prerequisites for the approval construction and operation of et the enlargement of the et consortium the legal framework governance schemes and financial regulations under which et will be constructed and operated the detailed technical design and costing of the et observatory the preparation of the et site selection detailing and costestimation of the required site infrastructure and its socioeconomic and environmental impacts the schemes for technology transfer procurement and industry involvement in the technical design and construction of et the required linking with relevant science communities regarding the detailed definition of the science program and the user services and data access modelfor etpp support is sought for work on the legal governance and financial issues for the installation of a project office coordinating and supporting management of etpp as well as the design of et and the planning of the implementation for siterelated work for studies regarding the optimization and production of et components by industry for linking with science communities and for increasing social awareness hence etpp will deliver a detailed implementation plan for the et infrastructure
automated compliance checks for construction renovation or demolition works

accords objective is to digitalise permitting and compliance processes using bim and other data sources to improve the productivity and quality of design and construction processes support the design of climateneutral buildings and advance a sustainable built environment in line with the eu green deal and new european bauhaus initiative these digitized processes must be humancentred transparent and costeffective for the permit applicants and authorities another objective is to develop and integrate technical solutions for automating compliance checking of buildings in their design construction and renovationdemolition lifecycle phases all this will be based on open and neutral data exchange standardsaccord will develop a semantic framework for european digital building permitting processes regulations data and tools this framework will drive rule formalization and integration of existing compliance tools as microservices solutions and tools are to be developed providing consistency interoperability and reliability with national regulatory frameworks processes and standards the solutions are implemented and demonstrated across construction projects in various eu regulatory contexts uk finland estonia germany and spain accord supports work programme ksos expected outcomes and impacts by 1 developing open apis allowing local authorities to choose their digital services without a lockin 2 automating the checking of environmental regulations co2 emissions lca and circular economy by developing machinereadable rules thus steering the digital and green transition and involving relevant stakeholders through cocreation and 3 creating information guidelines for structured data models to increase the value of buildings and reduce their operating costs and 4 providing the open accord framework based on microservices allowing businesses to connect and develop solutions resulting in a scalable durable and flexible permitting ecosystem
management and completion of dynamic knowledge graph

in moka we will design and implement methods for managing the evolution of large and dynamic knowledge graphs kgcurrently kg are getting much attention from both industry and academia because they have properties that support the design anddevelopment of more intelligent and intelligible systems by connecting and structuring knowledge ensuring semanticinteroperability between information systems and providing richer content for automatic reasoning however one of the most widelyagreedupon problems experienced by data scientists and knowledge engineers is the maintenance of such kg over time since kgmodel the knowledge of a given domain they have to be frequently updated to reflect the evolution of that domain which demandsignificant effort from experts and once updated changes are lost which leads to a general impoverishment of knowledge over timeto do so our methods and tools will allow to i identify and characterize changes that occurs in kg when the domain evolves whichwill significantly reduce the efforts of domain experts in the kg maintenance tasks and ii define a mechanism to represent theevolution of a domain within a socalled historical knowledge graph hkg that will allow users having a clear and deepunderstanding of the evolution of the domain knowledge over time the proposed methods and tools will be evaluated on the kg ofthe open research knowledge graph initiative and the data of the space domain we will have a significant impact on scientifictechnological economic and societal aspects this will be made possible thanks to the proposed dissemination exploitation andcommunication plans aimed at a large audience that will facilitate the development of the career of the researcher