Dragon09/odtu_chatbot huggingface dataset:
ultrafast picoscopy of solids

material science quantum chemistry electrical and quantum engineering in the 21st century focus on manipulating and harnessing the properties of matter at the level of atoms and electrons advancing these technological capabilities to their ultimate limit calls for novel imaging techniques that can allow us to peer into matter at the level of valence electrons and follow their dynamics in space tens of picometers and time femtosecond to attoseconds here we propose the development and use of ultrafast picoscopy to attain this grand goal of ultrafast and microscopy sciences intense laser fields can drive the coherent motion of electrons inside crystals to emit high harmonics of the fundamental whose spectral characteristics embody critical information about the spatial arrangement of electrons and atoms in the subangstrom scale by combining this capability with stateoftheart laser pulses whose field waveform is confined to a fraction of a femtosecond optical attosecond pulses it should be possible to record movies of electrons in solids in picometer space and attosecond time scales ultrafast picoscopy aims at enabling the threedimensional visualization of the chemical bond in condensed matter the detailed visualization of structural changes in crystalline materials and the realtime tracking of atomic and electron motion in ordinary and correlated materials we anticipate the technique and the results of this endeavour to yield benefits to a broad range of scientific disciplines ranging from physics and quantum chemistry to material science and information technology
creation of modular cell factory for the production of high value chemicals towards nullpollution

towards a better future with less pollution better life quality for humans animals and plants and more sustainable highvalue chemicals under a modular biological system microorganisms clostridium sp will be the driving force and carbon dioxide co2 will be the fuel required to grow and produce the highvalue chemicals the modularity will allow the same organism to act as a multiproduct factory based on the benefit and requirements we aim to select the clostridium sp based on their ability to capture co2 enzymes involved in co2 metabolism will be subjected to improvement either the same enzymes will be mutated or substituted by a better biocatalyst from the natural inventory once satisfactory co2 utilizationorganism growth levels are achieved designed constructs targeting specific pathways will be transformed into the recombinant organism to validate their modularity we have selected bioplastic and butanol as the target model products consequently new genes will be assembled into a single plasmid and subsequently transformed into the microorganism the product levels and efficiency of the new system will be evaluated
a coherent approach to analysing heterogeneity in network data

the overarching goal of this project is to develop a coherent set of econometric methods to deal with unobserved heterogeneity in the analysis of social interactions between agents such heterogeneity is well recognized to be important it is often of great interest to document the degree of heterogeneity evaluate its impact and uncover the existence and form of any complementarities that may exist between agents with the growing availability of network data questions of this kind are increasingly being asked in applied work the development of appropriate econometric tools to answer them has however not followed suit if anything recent theoretical work has pointed at substantial difficulties with the so called fixedeffect approach currently serving as the workhorse tool this project recognizes the potential of taking a randomeffect view for settings where agents interact in pairs such a view has received some attention in the literature however to date it struggles with issues of identification estimation and computation we will develop a new nonparametric approach that provides a solution to each of these three issues we will next venture forward and extend this framework to situations where agents interact in larger groups both collaborative and noncollaborative settings will be considered thereby covering team production competition and peer effects special attention will be given to recovering treatment effects in the presence of social interactions where interference on unobservable confounders is an issue for situations where data limitations prevent a fully nonparametric approach instrumentalvariable methods that build on flexible functional form restrictions will be developed the statistical properties of the proposed estimators will be derived software implementation will be provided and empirical illustrations will be presented to highlight the usefulness of the methods
cocreating the next generation platform of pilot and demo infrastructures unlocking faster innovation and eu bioeconomy growth

the overall aim of the copilot project is to build the reference database of bioeconomybased europe wide openaccess infrastructures that accelerate the scaleup of innovations and to unify and interlink the related bioeconomy ecosystem for scalingup infrastructures innovators and enablers into one vibrant community since pilot and demo equipment is very expensive and requires specific expertise in a short span of time open access infrastructures are the most cost and speedeffective manner to support the deployment of biobased industrydriven innovations in the market in accordance with the european bioeconomy strategy and action plan copilot aims to create an open access pilot and demo database embedded into a selfsustainable platform1exploitation of past pioneer eu projects experiences and achievements pilots4u esfri and bioeconomyventure2cocreation dynamics coming from the community to create a tailoredmade platform for users needs engagement and stimulation to participate in copilot activities via 3 open calls3key services training and matchmaking opportunities aiming to foster collaborations among the community to unlock a clearer and faster access of the bioprocesses scaleup in the eu for innovators and enablersthis will be carried out in close collaboration with the full consortium build on a strong pool of experts within the fields of bioeconomy ensuring the involvement of all the relevant eu regions to consolidate the maximum outreach of the initiative it consists of 10 partners with complementary competences 2 major partners involved in the eu bioeconomy infrastructure ecosystem involved in the pilots4u project as well vtt and bbepp 7 clusters or networks of startups spinoffs corporates investors and public authorities ibf foodi b4c khz sgz spring and bioeast and 1 partner representing the largest global startup network who will ensure the right methodology and strong impacts of the fstp strategy f6s
treebased ridge extractor for image analysis

accurate and reliable analyses of medical images have become a key step to determine the presence or severity of diseases directly impacting the clinical care for patients among the numerous and various biomedical image analysis the identification of blood vessels and the associated vascular trees is one of the most central topics for diagnosis of the coronary lungs liver or retina which require detection methods to assist physicians many such methods show intrinsic limitations due to the required preprocessing of the images to the approach used eg limited training databases etc complex filamentary patterns such as the vascular trees are common and widely observed in geology astrophysics etc in astrophysics elongated structures made of the alignment of galaxies called filaments of the cosmic web cw reveal the nature of matter in the universe and the way it assembles over the 14 billion years history of the cosmos for these reasons detecting cw filaments and studying them is an increasingly important topic in astrophysics and is one of the aims of the ercadvanced project byopic baryon picture of the cosmos this proposal is a direct offspring of byopic it is the first step of a multistep technology transfer strategy which aims at transferring an innovative algorithm to detect filaments in the distribution of galaxies to the analysis of biomedical images laying the ground for applications in scores of other domains eg satellite imagery geophysical tomographic data engineering etc
autonomous vehicular edge computing and networking for intelligent transportation

intelligent transportation systems its are vital for enhancing road safety alleviating traffic congestion and saving energy in transport however due to the complex and dynamic operating environments of its including fastmoving vehicles fluctuating vehicular communications and scarce computing resources its face unprecedented challenges in meeting the stringent service requirements in terms of ultrahigh reliability and lowlatency demanded by the emerging missioncritical applications eg autonomous driving and realtime intelligent traffic control to address these challenges ascent aims to form an international multidisciplinary and intersectoral consortium with worldleading experts to create a novel autonomous vehicular edge computing and networking system empowered by advanced artificial intelligence ai technologies towards achieving reliable and efficient its specifically ascent will pioneer research and innovations ri on groundbreaking technologies including 1 a novel and scalable system architecture that enables agile and reliable its service provisioning 2 an original distributed ai framework fuelled by bespoke federated deep learning methods to offer pervasive intelligence 3 innovative analytics tools to accurately predict dynamic network status including network traffic and channel quality 4 autonomous and smart resource management schemes to support missioncritical its services ascent will boost the ri capability of partners in multiple disciplines and create a longterm crossdiscipline and crosssector knowledgesharing platform with complementary expertise the researchers involved will be trained through extensive ri actions and wellplanned networking activities to enrich their skill sets as well as enhance their career perspectives the outcomes of ascent will significantly contribute to enhance the eus competitiveness and transforming our transportation systems into safer smarter and greener future its
supramolecular agents as radiotheranostic drugs

from diagnostic applications in the quantification and characterisation of biomarker expression in cancer patients through to molecularly targeted radionuclide therapy radiopharmaceuticals are at the frontline of modern personalised medicine the radical longterm vision of smartdrugs is to harness the untapped potential of supramolecular chemistry to create a new class of therapies radiotheranostics which combine both diagnostic and therapeutic radionuclides in one compound by using the selfassembly of hostguest supramolecular coordination complexes and molecularly interlocked molecules as scaffolds for creating supramolecular radiotheranostic drugs new methods for radiotheranostic synthesis that break away from conventional medicinal chemistry concept will be introduced smartdrugs will establish a proofofconcept demonstrating the utility of noncovalent systems in the design of multifunctional radiotheranostic agents with tailored pharmacokinetics and their application in challenging drugdelivery scenarios including targeted delivery to cancers of the lung and brain our 3 main objectivesobjective 1 develop new chemical landscapes using noncovalent bonding to create functionalised supramolecular compounds for cancerspecific theranosticsobjective 2 elucidate the key relationships between supramolecular radiotheranostics and the complex tumour microenvironment that determine drug efficacy in vivoobjective 3 perform headtohead studies to establish a proofofprinciple that supramolecular chemistry is a viable alternative to classical radiopharmaceutical designthe longterm goal is to establish a new chemical landscape for radiotheranostic design and to facilitate clinical translation of this new technology successful experiments will lay the foundations for exploiting supramolecular chemistry in the wider context of drug delivery and theranostics and for studying biological interactions at the cellular to wholeorganism levels
mantras in religion media and society in global southern asia

over 4 million people in europe including hindu buddhist sikh minorities and yoga practitioners use mantrassacred utterances formulas or syllablesfor the purposes of ritual prayer contemplation and wellness the term mantra itself has entered the vocabulary of most modern european languages but how do mantras work where do they come from and how did they spread around the globe despite their ubiquity and relevance mantras have seldom been studied in their own right this project will produce an unprecedented global history and anthropology of mantras grounded in the pis expertise on the very places and traditions where mantras originatesouthern asia where mantras have been used in rites meditation worship and healing for more than 3000 years as mantras have been transmitted through diasporic networks new religious movements yoga and the internet they have become central to religion and culture worldwide while they also play a key role in traditional medicine and identity politics most scholarship to date has approached mantras through language and philology privileging sanskrit texts from elite contexts yet mantras have always been diverse multimodal and multisensory manifesting in manuscripts on stones in the voice through chanting in the mind through meditation and on the body through amulets tattoos and clothing bringing together leading scholars working across disciplines and cultural regions this 6year project will create sonic visual and digital textual archives on the transcultural and multisensory lives of mantras together with an exceptional array of academic deliverables and a museum exhibition raising awareness of mantrassignificance from their origins in ancient south asia to their modern ramifications in the global north the mantrams project will produce the firstever scientific project entirely dedicated to understanding the relevance of mantras at a global scale
european youth in education and in transition to the labour market

the edulab is a comparative european study that systematically examines factors and determinants influencing choices pathways and transitions in education and training et and from et to the labour market of young people aged 1530 years the focus is on equity and inclusion and on young peoples participation progression and completion of upper secondary and tertiary general education ge and professionalvocational education pvet at isced levels 38 as well as on their transitions to and from the labour market first edulab will develop comprehensive models of pathways and transitions per country in the european education area eea including their intersectional and largely generic determinants second an efficiency assessment of policies and investments in ge and pvet will be carried out third novel quantitative and qualitative evidence will be provided on how determinants including policies and investments contribute to young peoples pathways and transitions specifically to inclusion and equity and their participation and completion of ge and pvet edulab relies on a mixedmethods approach with emphasis being placed on secondary quantitative analyses of openly available empirical data and newly collected qualitative empirical data specifically edulab considers all stakeholders and conducts a systematic literature review qualitative conceptual analysis quantitative trend and regression analysis differenceindifferences analysis expert interviews and surveys and qualitative case studies focusing on young peoples voices and based on researchpractice partnerships the following eea targets are scrutinized a increasing the rate of youth with tertiary education attainment b reducing the share of early leavers from et c increasing workbased learning in vocational et d increasing the number of students belonging to groups underrepresented in educational fields eg based on gender ethnic minority migration etc
development of a fluorescencebased nanotool for early breast cancer diagnosis

breast cancer is the most common cancer globally accounting for 12 of all new annual cancer cases worldwide according to the world health organization and early detection is a key issue as survival improves when cancer is detected early nanonir will develop a novel fluorescencebased nanotool for the detection and quantification of mir99a5p in liquid biopsy samples from breast cancer patients the nanotool will consist of upconverting nanoparticles ucnps decorated with aptamers and small gold nanoparticles aunps ucnps are inorganic nanocrystals that convert nearinfrared nir light into shorter wavelength emissions and exhibit narrow emission bandwidths and large antistokes shifts ex 980 nm em 540 655 nm these photophysical properties make them excellent candidates for fluorescence biosensing allowing for effective sensing with diminished background noise in a complicated detection system the aunps have a large extinction coefficient and a broad uvvis absorption band 500 580 nm making them excellent fluorescence quenching agents the combination of ucnps donors with aunps acceptors linked through complementary aptamers will result in a fluorescence emission quenching of ucnps at 540 nm following the detection of mir99a5p by its complementary aptamer sequence aunps will be displaced from the ucnps surface restoring the luminescence of ucnps at 540 nm with an intensitydependent to mirna9a5p concentration allowing the detection of mir99a5p in real samples additionally the luminescence signal at 655 nm could be used for the ratiometric measurements
digital personalized ai based platform training parents and therapist to develop children with autism everyday interaction

an intensive evidencedbased therapy in the early years of a child with autism determine the childs developmental trajectory children with autism dont get the therapy they need due to lack of qualified therapists and lack of training socialmind developed a platform that trains parents and therapists to turn every interaction into an evidentbased opportunity the company developed a protocol that is based on esdm early start denver model and prt pivotal response treatment autism evidencebased intervention socialmind broke down these comprehensive interventions into a series of concrete parenting skills that motivate the child to interact and learn throughout the day an essential component of the solution is based on the ability of the parent to upload a video of themselves interacting with their child and get a response from our hybridresponse system ai software analyzes the audio and visuals and then a member of our community of qualified reviewers parents that are our mega users and students goes over and complements the machine assessment the company has so far helped 150 children progress in the uploaded video the company annotates child and parent behaviors and makes a basic behavior annotation that enables an accurate and efficient review and feedback feedback is generated that is synchronized to the interaction and sent back to the parent a second machine analysis will be used on the feedback to identify errors and alert the expert level before the feedback is sent back to the parentbased on data collected from home interactions the system will learn novel therapy insights from analyzing child development characteristic parent implementation characteristics and the best intervention skill that the parent should learn to optimize their childs development at the current stage
carolus magnuss oral legends unravelling and safeguarding

carolus responds to the urgent need to safeguard the endangered oral traditions related to carolus magnus and his heroes the project addresses the imminent extinction of these cultural treasures in europe and remote corners of south america and africa through immersive fieldwork and interdisciplinary studies carolus aims to document study and revitalize these intangible heritages ensuring their preservation for future generationsthe project employs a sophisticated research methodology which weaves diachronic links between presentday local expressions and medieval origins and conducts synchronic and comparative analyses on surviving performances sung narratives and traditional theatre about carolus magnus this comprehensive approach spans a millennium and encompasses literature performing arts philology sociology and anthropology carolus is a transdisciplinary exploration of oral and written traditions from the middle ages to the presentfocussed on the epic of carolus magnus hailed as the father of europe the project boasts a transcultural scope spanning three continents and different linguistic areas beyond research it envisions an innovative open science portal providing unrestricted access to materials academic outcomes and outreaches for a broader audience carolus aims to be a bastion for the preservation of this intangible heritage ensuring its resonance within the tapestry of human culture this project is not merely an academic pursuit
optimising colorectal cancer prevention trough personalised treatment with artificial intelligence

integration of artificial intelligence ai technologies into clinical medicine has been hampered by challenges related to uncertain longterm clinical benefits costeffectiveness and ethicslegal concerns application of ai in colonoscopy a forefront research topic has been also bothered by these issues ai is however expected to reduce colorectal cancer incidence and mortality through personalised treatment our proposed project would change this discouraging situation and thus drastically improves colorectal cancer care we achieve the following goals 1 establish the value of aiassisted colonoscopy in colorectal cancer prevention by conducting a paneuropean populationbased randomised trial with 222000 participants 2 develop a colonoscopy ai riskprediction tool for personalized treatment of colorectal polyps and cancer 3 develop costeffectiveness models of aiassisted colonoscopy in colorectal cancer screening 4 investigate ethical and legal barriers in ai development and implementation 5 generate the first trustworthy and rapidly updating living clinical guidelines for ai in screening colonoscopy 6 develop a patientoriented ai tool by including endusers in the process of ai development and communication our research consortium maximises the feasibility of the project with worldclass experts in gastroenterology machine learning cancer screening biostatistics disease modelling regulatory science and ethics and law in medicine from nine european countries the us and japan we also partner with a european mediumsize ai enterprise for implementing the output of the project the project has large potential impact on patients society and economy in europe and the world up to 6000 fewer deaths due to colorectal cancer and saving of 720 million euro can be expected per year once the technology is widely accepted in europe