Dragon09/odtu_chatbot huggingface dataset:
standardisation and sustainability of material documentation in archaeology virtual modelling and time consumption the pilot study of some late roman classes from egyptian excavations

to this date documentation of materials from archaeological sites varies greatly from project to project there are several reasons for this 1 lack of experts andor funds 2 difficulties in accessing data 3 and the long time necessary to collect and document information in addition the recent application of artificial intelligence to archaeological documentation has highlighted the need for further standardisation in data collection and consequently in the results obtained the stardoc project therefore intends to address and solve these problems by applying technologies available on the market today in a systematic and standardised manner in particular the project aims to build a pipeline that provides experts in the study of archaeological materials with a functional method to scientifically document artefacts from archaeological contexts the specific goals of the project are to construct 3d models using photographs obtained with low and mediumbudget devices these models will enable the extrapolation of the physical characteristics of each object including sections dimensions and in the case of pots diameter and correct orientationthe second specific objective will be the documentation of the pottery fabrics in particular the focus will be on pottery fabrics which will be recorded with 2d images at varying degrees of magnification specifically several classes of materials will be selected such as late roman amphora 1 aswan red slip ware and african red slip ware their fabrics will be documented and processed with mathematical quantification programmes a technique that enables to identify groups with similar physical and technical characteristics the characteristics of these groups will then be compared with those of materials from production sites the last specific objective will be to publish the collected material 2d images the virtual models and the fabric database on an open access virtual repository
shaping symbiosis in biobased industrial ecosystems based on circular bydesign supply chains

the symbio project provides european regional communities with tools and methodological approaches to building biobased business models based on circularity bydesign and industrial symbiosisthanks to tools for integrating big data and artificial intelligence symbio shapes 10 symbiotic business models with highprofitability sustainability replicable at the eu level to increase biobased products on the market and provides a system to modelling measure and monitor symbiosis and its social economic and environmental impacts symbio methodology will be designed tested and validated in 12 eu pilot regions lombardy piedmont veneto friulivenezia giulia emiliaromagna carinthia slovenia croatia andalusia bruxelles capital wallonia flanders that have been selected based on the estimation of their biobased resources defined by raw material availability socioeconomic indicators intangible networks and infrastructures and potential for development of cbe closetomarket supply chains and current trends involving all supply chain actors in a quadruplex approach will help unlock and stimulate local development potential by promoting sustainable innovative tangible and participatory pathways to the green transition through an inclusive bottomup cbe nexus
network for evaluation of propagation and interference training

the widespread use of modern communication systems the higher penetration of automated systems in automotive engineering surgery hightech machines etc the higher complexity present in those interconnected systems and the higher dependence of modern society on technology creates an urgent need to recruit and train researchers in electromagnetic compatibility this interconnected systemsofsystems are creating a complex electromagnetic environment in which interoperability of the electrical and electronic equipment has to be achieved a highly trained cadre of engineers is required to lead in this area and the aim of this initiative is to train such people connecting them to the industry for implementation of the new acquired and developed knowledge and experience the nepit consortium has been brought together not only to train qualified researchers but also to provide the fundamental research that underpins future technological developments the multidisciplinary multinational doctoral training program will provide the trainee researchers with a complete broad experience and at the same time allows them to develop and eventually lead their focused area of research the program will focus on the development of novel methods to model simulate design evaluate and test complex systems for electromagnetic compatibility nepit will also develop corrective economic measures for safe reliable efficient and greener complex systems specific innovations expected to be achieved through nepit are methodologies to optimize the design to reduce risks and to improve the testing of complex hightech systems dissemination methods to realize optimal impact will include scientific publications presentations and workshops summer schools training of engineers within industry as well as communication through newsletters interviews school visits websites and social media
south marmara hydrogen shore

the region of south marmara is ideally placed geographically economically and politically to take up the challenge of developing and implementing a hydrogen valley in 2023 and help to build towards the national turkish goal to be carbon free by 2053 south marmara is situated between the largest metropolitan areas of türkiye istanbul to the north izmir to the southwest and bursa to the east it is bordered by the aegean sea to the west and the sea of marmara to the north which gives it unlimited access to waterthe south marmara region has set a clear vision to reach a carbonneutral economy by 2053 by phasingout fossilfuel utilization in all sectors and green hydrogen will play a critical role in this paththe hysouthmarmara project is the first step of this vision and it will create a detailed roadmap which sets out recommendations up to 2035 and beyond in terms of establishing a regional hydrogen economy design deploy and install a polymer electrolyte membrane pem electrolyser with a minimum 4mw of power to reach annual hydrogen production of 500 tonnes develop and implement a digital twin of the hydrogen production system that will create the flexibility for renewable energy usage and efficient production of green hydrogen create the south marmara hydrogen backbone by determining the infrastructure requirements for the storage transport and deployment of the green hydrogen demonstrate the uptake and replacement of grey hydrogen with green hydrogen in two industries hydrogen peroxide production and glass manufacturing conceive and build a kiln to use hydrogen as a fuel in energyintensive ceramic industrial processes develop sodium borohydride plant and use it as a basis for a power supply explore and create new markets for the use of green hydrogen and its liquid and solid derivatives create a meaningful communication plan to show to public and stakeholders the benefits of green hydrogen and help other regions to creat
creating a robust accessible federated technology for open access

after several decades of evolving open access oa publishing is now at the centre of scientific communication providing access to scientific publications without barriers in diamond open access authors can publish free of charge as the institutional sector with universities research institutions or libraries provide the necessary technological infrastructure while the commercial model of open access dominates in anglophone journals from the global north the diamond oa model shows a much higher level of diversity and origin however the diamond oa landscape continues to be fragmented is often underfunded and is not always technically proficient enough to develop its full potential for science and society the craftoa project aims to consolidate the diamond oa publishing landscape the project focuses on four threads of activities to improve the technical and organisational infrastructure of diamond oa 1 provide technical improvements for journal platforms and journal software 2 build communities of practice to foster overall infrastructure improvement 3 increase visibility discoverability and recognition for diamond oa publishing 4 integrate diamond oa publishing with eosc and other largescale data aggregators craftoas 23 consortium partners from 14 european countries are all engaged in institutional publishing and its infrastructures and committed to sustaining and developing capacities in the field many craftoa partners are leading organisations at national and european levels in terms of open publishing and represent internationally visible centres of expertise in open science and fair implementation with strong connections to eosc within 36 months craftoa will deliver technical and community tools training events training materials information and services for the diamond oa institutional publishing environment it will foster communities of practice with the capacity to sustain the project improvements over time
residual disease assessment in hematologic malignancies to improve patientrelevant outcomes across europe resolve

memeasurable residual disease mrd detected by multiparameter flow cytometry mfc has strong prognostic value in patients with the most frequent acute and chronic leukemias acute myeloid aml and chronic lymphocytic leukemia cll but it has not yet been confirmed as a treatmentguiding biomarker the resolve consortium will leverage numerous existing expert networks and patient advocacy partnerships to establish the predictive value of mrd in amlcll patients with the expectation that this affordable minimallyinvasive biomarker can be imminently used to guide the intensity of consolidation therapy improve quality of life qol and reduce costs this will be achieved through 1 development of a realworld patient registry and data platform
validation and comparitive multiomics benchmarking of fluidderived volatilomics biomarkers for the prevention and early detection of schizophrenia

schizophrenia sz impacts around 1 of the global population posing diagnostic challenges that lead to a misdiagnosis rate of 2340 the need for reliable biomarkers is crucial to improve early detection and treatment outcomes volabios aims to revolutionize sz management by harnessing innovative realtime and portable spectrograph technology to validate volatile organic compounds vocs as noninvasive and costeffective biomarkers detectable during the early stages of the disease this entails extensive data analysis prospective clinical studies involving 3692 subjects across six centres and a blind validation study with 1000 subjects focusing on longitudinal monitoring of atrisk individuals to identify early sz transition to further substantiate the efficacy of vocs and gain profound insights volabios will integrate voc analysis with genomics proteomics and transcriptomics this integration will be supported by a biobank comprising approximately 4000 samples and a dataset consisting of 9 million records by considering external and personal risk factors as well as biological responses volabios aims to unravel intricate correlations that contribute to sz development this comprehensive approach will enhance prediction accuracy facilitate early detection and improve management strategies furthermore volabios plans to explore the realtime effects of validated vocs through controlled invivo experiments using animal models providing valuable information about associated cellular and molecular pathways volabioss endeavours to validate and establish euwide sz diagnosis protocols are set to significantly enhance patient care and healthcare efficiency marking a substantial step forward in addressing the complexities surrounding sz
strengthening the research capacities for extreme weather events in romania

the scewero project will be developed by a consortium of 5 organizations from 4 countries babebolyai university ubb a research institution located in romania as a widening country and acting as coordinator three topclass leading partners fondazione centro euromediterraneo sui cambiamenti climatici it universiteit antwerpen be and justusliebiguniversitt giessen de and a private partner sme indeco soft ro aiming to improve the excellence capacity in research to raise the scientific reputation research profile and attractiveness through networking and strengthening research management capacity and administrative skills of the ubb teamthe scewero project will be implemented in 9 work packages one is dedicated to ethics issues two are dedicated to project management and two to dissemination exploitation and communication two dedicated wps focus on comprehensive training for ubb researchers provided by the topclass partners on the topics of i extreme temperature and precipitation events compound events and artificial intelligence use for better analyzing and forecasting them wp4 and ii science communication on weather extremes and artificial intelligence wp5 wp6 is dedicated to consolidating research management capacity and administrative skills and providing instruction for a dedicated working group to be created in the ubbwp7 covers a small research project with the ubb team that holds the potential to make a significant impact it will put into practice the knowledge transferred through instructions provided in wps 4 and 5 by the highperforming partners aligned with the early warnings for all initiative and the eu mission on adaptation to climate change and the european green deal objectives the research component aims to establish a new methodology and provide relevant results obtained through a complex approach to contribute to the enhancement of the early warning systems on heat event romania the methodology could be then replicated in other european countries paving the way for a more resilient future
model invariants in algebraic statistics

the goal of this research project is to develop new methods for data analysis based on algebraic statistics demonstrate their effectiveness on real data problems and make them available to the public as software packagesthree algebraic model invariants are central to this action the maximum likelihood ml degree the euclidean distance ed degree and the polar degree recently developed in theoretical research these invariants promise to unlock new algebraic methods for data analysis this action will realize this vision expand the underlying theoretical foundations as needed and produce statistical tools fit for use by practitionersthe expected impact of this research is fourfold first the obtained results will ground the latest theoretical advances in real applications improving the algebraic statistics communitys sense of what is possible and directing future research second they will generate new mathematically interesting results tailored to the data applications of the project third they will produce novel insights about complicated data problems with an algebraic structure strengthening the case for algebra and geometry in data analysis fourth the easily accessible software produced during this action will introduce algebraic techniques to the data analysis toolkits of data practitioners and domain experts
clonebased fulllength rnaseq for early diagnosis of cancer

intratumor genetic heterogeneity imposes a great challenge on cancer therapy resistance to molecularly targeted therapies and chemotherapy can arise from selective growth of preexisting subclones that carries drugresistance mutations altered metabolic andor epigenomic states providing a survival advantages early detection of these subclonal states can thus significantly aid cancer therapy however attempts to profile various types of primary cancer cells using singlecell techniques are relatively poor one of the major limitations is the significant dropout rate ie loss of alleles observed in singlecell rnaseq it severely affects our ability to leverage single cell rnaseq to accurately profile somatic mutation to reveal cancer driver mutation and even extract lowmidlevel expressed genes and splicing for that reason most of the efforts to expose mutations that are critical for cancer growth and can subsequently lead to more effective treatment are based on the sequencing of bulk populations however due to the noise introduced by pcr sequencing and alignment processes bulk sequencing is limited to identify mutations with a frequency higher than 5 here we propose to develop a novel 3d clonebased fulllength rnaseq profiling technology a preliminary version of this technology for digital profiling of mrna already allowed us to significantly improve sensitivity comparing to goldstandard singlecell rnaseq methods using this preliminary version on clones of lung adenocarcinoma we revealed novel cancer stem like subpopulation that could not be detected using regular single cell rnaseq maps altogether improving the ability to detect rare mutations 5 splicing events and transcriptional variation between cancer cells will be an extremely powerful tool for early diagnosis of cancer and effective means to improve personalized based drug treatment decision making
quantum photonic integrated circuits at 1550 nm

the goal of this project is to create a universal qpic platform at 1550nm by integrating inp quantum dots and ingaas detectors on sin pics together for the first time this new platform has the potential to revolutionise quantum photonics by enabling the creation of ondemand single photons and entangled photon pairs with efficient single photon detection critical to this platform is its compatibility with existing optical fibre networks which makes this a costeffective solution for quantum communication computing and quantum metrology applications we demonstrate the flexibility of our qpic platform in three different use cases quantum key distribution remote quantum computing and quantum clock synchronisation experiments
the quantum gravity imprint new guiding principles at low energies

what are the constraints that a low energy effective field theory must satisfy to be consistent with a quantum gravity description at higher energies can we determine these constraints in a precise way and use them as new guiding principles to progress in high energy physics recently novel quantum gravity criteria have been proposed that imply nontrivial constraints on models of particle physics and cosmology and can provide the missing piece to solve the longstanding naturalness issues observed in our universe however none of these socalled swampland constraints have been completely proven yet and often they even lack a precise formulation the goal of my proposal is to determine the constraints that quantum gravity imposes at low energies by uncovering the fundamental principles underlying the swampland conjectures and looking for new universal constraints in the context of string theory to achieve this goal i propose a novel approach based on cuttingedge mathematical techniques of algebraic geometry and the topological cobordism groups that extend the notion of symmetry each conjecture will be subject to scrutiny such that it gets either disproven or promoted to a sharp statement in the realm of wellestablished string compactifications specific goals include an indepth analysis of the mechanisms by which string theory avoids new classes of generalised global symmetries a complete classification of the field spectra emerging at the large field limits of flat space string compactifications developing new methods to study the scalar potential at the large field limits and determining whether supersymmetry is a necessary condition to ensure vacuum stability these new quantum gravity constraints will trigger a revolution in our understanding of the quantum gravity imprint at low energies addressing questions about axions neutrino masses inflation hierarchy problems weakly coupled charged matter and the accelerated expansion of the universe
biobased solutions for improved acoustic applications

the project focuses on a highly actual problem of the society and economy noise is one of the major issue for people who spent most of her time in offices or in the workplace the demand for acoustic solutions which are costeffective renewable ecofriendly in nature and have a positive impact on human health and wellbeing one of the key strategies and challenges we have is how to develop cost effective natural reproducible materials by combining of the biobased materials nanofibers that will contribute to environmental protection and sustainable acoustic solutions that are economic advantages in real world applications than the traditional alternatives the wp research structure has been designed so to follow a problem solving approach the research and innovation staff exchange and trained esrs ensure a high degree of collaboration increase intersectoral transfer of knowledge will be able to propose the most suitable acoustic solutions in workplace and open spaces innovation is increasingly dependent on the complementary nature of research the resultant sharing of knowledge and skills between different organisations therefore bioacouis project will deliver an improved innovative acoustic solutions based on biobased materials nanofibers and fully biobased which are biodegradable lightweight costefficient and ecofriendly in nature while preventing and reducing noises in open plan spaces the scientific progress will be performed within research and training activities and the results will be disseminated to audience worldwide
collaboration with nsf on fundamental research on new concepts for distributed computing and swarm intelligence

the discoverus project aims to istrengthen longterm collaboration between the eu and the us by creating networking and collaboration opportunities to promote cooperation on new concepts and visions for the computing continuum distributed computing and swarm intelligence iifacilitate brokerage events for ongoing and future work streams in eu and us projects addressing the edgecloud continuumiiiimplement research exchange and fellowship programmes to encourage and initiate collaborationivcreate a euus collaboration support infrastructure consisting of various services networking brokerage training vision building communication and disseminationcontentwise discoverus will focus on the following four key research topics for the collaborationimanaging complexity through high levels of abstractioniinew concepts for distributed computing the computing continuum swarm intelligence and edge intelligent things iiiaibased concepts for selforganized dynamic and adaptive managementivcollaborative programming frameworks and software development toolsdiscoverus will boost synergies experience and knowledge sharing and lay the ground work for creating a euus collaborative research ecosystem for precompetitive research in the computing continuum distributed computing and swarm intelligence it will strengthen the transatlantic research efforts in this area and also strengthen europes position in the cloud to edge computing and in the internet of things iot and the tactile internet this will be achieved by integrating relevant elements of computing connectivity iot artificial intelligence ai and cybersecurity the project will run for 30 months will deliver a vision on the computing continuum distributed computing and swarm intelligence create a transatlantic research community of about 100 senior researchers and fund about 20 precompetitive transatlantic research collaborations