Dragon09/odtu_chatbot huggingface dataset:
why a new neutrino telescope because we can

for over a century ultrahigh energy cosmic rays cr have been observed by scientists but their energy and place of production remain a mystery at very high energies neutrinos generated by cr carry messages from eg the verge of supermassive black holes but here our understanding is limited tracking neutrinos offers a way to trace the origin of the highest energetic particles in the universe the stumbling block is that neutrinos the ghost particles are notoriously tough to detect a target of at least a gigaton of natural transparent material like water or ice must be instrumented to collect neutrinos from the cosmos currently only icecube neutrino observatory at the south pole has the exposure to detect very highenergy neutrinos beyond earths atmosphere more and larger telescopes are needed to advance on this promising rich path of fundamental discoveries in astro and particle physics the objectives of neutrinoshot are to significantly advance the development of telescopes that detect far beyond the reach of icecube and make the exploration of cosmic accelerators more affordable this can only be achieved with multicubickilometre km neutrino telescopes currently limited by the scalability of technology to volumes beyond the cubic km to this end the lead researcher has identified the optimum testing location and established a scientific relationship with ocean networks canada onc to pioneer this global network as a testbed infrastructure for first case testing deployment and use of a new multiline array neutrino telescope capable of functioning in extreme deep sea environmental conditions with improved sensitivities by orders of magnitude this project will detect the first neutrinos in the pacific ocean and give neutrino astronomy a new shot to bring science a major step closer to revealing the hidden parts of our universe
memories of the moderns lifewriting and literary history

the degree to which experimental writers of the early twentieth century drew on their own life stories for creative expression is a commonplace of both the critical and popular receptions of modernism less recognised however is the role that forms of lifewriting from memoir to biographical fiction still play in our literary histories of the period the primary research aim of memmod is to document the ways in which representations of personal memory not only inform literary history but also constitute the shared collective memory of a research community the project offers a case study of james joyce 18821941 one of the most admired emulated and mythologised masters of twentiethcentury prose and about whom many stories circulate in the research community and among the general public drawing on memory studies for its theoretical framework memmod will explore the archives of sylvia beach 18871962 frank budgen 18821971 stanislaus joyce 18841955 and richard ellmann 19181987 all of whom penned influential accounts of joyce to identify and unpack stories that are central to our understanding of the modernist period memmod will examine why these narratives have such staying power in the construction of modernism even as research and new evidence dramatically reshape our accounts of the past research objectives are to develop a theoretical framework from memory studies in order to engage with the marginal textual forms of modernist lifewriting to determine how memoirists and biographers represent personal memory by conducting onsite archival research and to edit annotate and introduce a diary covering joyces life in trieste from 1907 to 1909 and to publish and publicise it among researchers and the general public project outputs will include three peerreviewed articles in high quality journals a podcast on collective memory and research communities and a published edition of stanislaus joyces trieste diary
bavart an augmented reality game for democratizing art and culture

cultural institutions and museums are currently really eager to target a broader audience and to have visitors coming back at a regular rate to reignite the cultural sector in the postcovid era digital technology provides an amazing opportunity for cultural institutions by allowing them to be ubiquitous to engage with new audiences to help people to prepare and share their visit and to forge new relationships with their visitors bavart is totally designed to cope with such difficulties by offering both a game and a platform for professionals in augmented reality dedicated to art and culturebavart is a game similar to pokmongo except that instead of capturing the famous small and cute japanese monsters players catches artworks and for artwork capturated players collect points which can then be exchanged for cultural vouchers such as cinema or theater tickets but bavart is so much more than a game the game is only a pretext to enable cultural mediation and communication with a wider public not necessarily always inclined to enter in cultural institutionsbavart is also a b2b platform allowing art and culture professionals such as museums galleries or theater to quickly and easily create an augmented reality experience for their visitors or their target this platform format allows all actors from this sector to develop their innovation potential offering them a new revenue source and allows them to focus on the content itself and the communication strategy rather than on the technical difficulties and costs inherent to the developmentin this proposal art studio propose to deploy bavart at a european scale to encourage artwork circulation promote art culture by spreading art everywhere on map develop guided tours allowing cultural institutions to offer full personalized guided tours to their visitors or their targets a democratization of art by the gamification and the use of deep tech
open data and industry driven environment for multiphase and multiscale materials characterization and modelling combining physics and databased approaches

the matchmaker project is determined to support excellence in research on methods and tools for advanced materials development matchmaker will enable the integration and interoperability of complex cm workflows matching the needs of eu manufacturing industry requirements on multiphase and multiscale materials coming from construction energy and mobility sectors will be translated into specific innovation challenges that can be addressed by an integrated approach combining characterization and physics and databased modelling for establishing the processmicrostructuremacroscopic properties correlation in advanced materials in a reproducible and efficient way reducing development costs time and risks while improving sustainability knowledge transfer data sharing and full interoperability between cm communities will be facilitated using data related standards chada moda emmo and by the creation of an open repository with connection to design and manufacturing processes the repository will be based on semantic web to represent rich and complex ontologies emmo is the starting point domain and application ontologies related to matchmaker use cases and providing a fully semantical vocabulary to describe the produced cm data will be developed standardisation of matchmaker ontologies data documentation and domain ontologies will be sought via engagement in specific activities eg collaboration with emmc emcc ontocommons csa the ambition of matchmaker is to validate project results on three use cases uc representatives of low carbon and clean industry uc1constructioncement uc2 energy solid oxide fuel cellssolid oxide electrolysis cells sofcsoec uc3 mobilityprotonexchange membrane fuel cells pemfc the project will foster synergies and interaction with emmc and emcc to align matchmaker results to councils objectives
human footprint on water from remote cold areas to the tropical belt integrated approach to secure water quality by exploiting sustainable processes

in2aquas will train 15 doctoral candidates dcs for facing the complex challenge of envisaging the pollutant impact on the environment and of tailoring the proper treatments for the production of safe and clean water also in extreme environments using green approaches through high quality research training management and innovation this goal will be attained via a structured trainingthroughresearch programme consisting of original individual research projects and education on technical and transferable skills experts from 10degree awarding universities 4 national research centers 1 associated university 4 companies and a highly qualified mindfulnessintheworkplace facilitator will join forces to facilitate the successful training programme that will allow dcs to be awarded with a double doctoral degree in two different countries these aims will be pursued by applying different actions which include the study and development of innovative technologies against the water pollution paying attention not only to the sustainability of the water management systems in a circular economy vision but also to the reuse of water the recovery of nutrients and the green synthesis of functional materials the developed technologies will be tailored to variegated scenarios with particular emphasis to three case studies aquaculture arid areas and remote cold areas the overall research goals will imply three main steps 1 the assessment of water quality and the prediction of its response toward the increased environmental stresses 2 restore water quality while approaching the zero waste discharge and 3 scale up and process integration the multidisciplinary interdisciplinary and intersectoral network will forge creative entrepreneurial and innovative scientists who will be equipped with the skills tools insights and flexibility that enable them to be the next generation of urban water system management innovators
social media for democracy understanding the causal mechanisms of digital citizenship

social media for democracy understanding the causal mechanisms of digital citizenship some4demcurrent diagnoses that democracy is in crisis at the beginning of the 21st century share a common argumentative reference point the implicit reference to the dysfunctional constitution of the political public sphere which is currently undergoing structural change the rise of social media platforms is considered as one of its main constituents while social media make the public arena more open and thus more responsive these platforms also lead to new mechanisms of fragmentation and exclusion an erosion of norms in public debate and a loss of trust in traditional institutionsthe project will reconsider the diagnoses of this crisis by 1 providing better empirical evidence for the impact of social media on society with respect to political debates 2 understanding the main causal mechanisms of this impact and 3 developing tools that improve the capacity of social media to contribute to the functioning of the public arena in a liberal democracy ie deliberation legitimation and the selfperception of the democratic subject
elucidation of crystallisation process using fff 3d printer assisted ir thermal imaging technique on plastic waste

nowadays the issue of plastic recycling has become one of the major issues of environmental protection and waste management since 1950 humans have produced more than 8 billion tons of plastic of which more than half was discarded into landfills and only 9 was recycled the majority of plastic waste stemmed from semicrystalline polymers such pe pp and pet when recycled the properties of these polymers deteriorated due to shrinkage and warpage issues related to the crystallisation process that occurred during the cooling process the temperature gradient during cooling is able to control the crystallisation growth however determining the crystallization process of plastic waste during processing is difficult as generally plastic waste contains additives therefore cpw uses ir thermal imaging technique as it can capture the temperature profile of plastic waste during 3d printing to study the temperaturecrystallisation relationship the existing techniques such as hotstage microscopy xray synchrotron and insitu light scattering have several restrictions among them are nonsimultaneous processes expensive and requiring high energy radiation sources furthermore these techniques can only be applied to virgin plastic and are limited to transparent polymers that are free from additives and contamination the captured temperature profile will be analysed using matlab to examine the crystallite structure at precise temperature thus could control their properties through the processing temperature of the 3d printer an innovative approach through experimental setup and technique used to investigate the crystallisation process will be the novelty of cpw this research will contribute to at least four research papers with two isi journals and two conference papers and a patent application the implementation of the msca will benefit and impact the recycling of plastic wastes in the world and this is in line with eus strategy for the sdg 12 and sdg13
g9 go for the missions

the g9 go for the missions g9missions will be our 3rd experience as a consortium in managing the european researchers night in spain covering 40 of the spanish territory university of cantabria will be the coordinator of a team composed by eight spanish universities acting as beneficiaries the overall initiative will be centred on the five european research and innovation missions that aim to deliver solutions of the great societal challenges facing our world climateneutral and smart cities adaptation to climate change cancer and healthy soils and water g9missions will promote awareness and encourage them to find solutions together to make a real difference engaging activities will be designed to show the policies that are behind these missions namely the european green deal europes beating cancer plan as well as the sustainable development goals the project consists of two main events to be held on september 30th in 2022 and september 29th in 2023 three pre events open to general public researchers at school activities distributed throughout the two years focused on pupils in schools and two post events as wrapup meetings to analyse the impact preevents will be celebrated on world environment day 5th june world cancer day 4th february and world oceans day 8th june each with a main activity coordinated by different partners researchers at school activities will be part of a programme denominated circular science based on activities with innovative methodology and involving the whole school community a mission book and a school certification after completing all missions will be some assets to promote participation stem fields rri principles gender management and open science practices will be widely covered the european dimension will be emphasised by the active involvement of researchers with european funds and marie skodowskacurie fellows and a strong collaboration with the european universities initiatives
microbehaviors recognitions through nonverbal signals

microbehaviors are subtle often unconscious actions expressions or gestures that individuals exhibit in their daily lives they are often shown in nonverbal communication understanding these subtle cues and endowing future artificial intelligence agents this capability could enhance our interactions and relationships however current automated systems cannot recognize microbehaviors to this end i will address this gap using multimodal perception and deep learning to automatically recognize microbehaviors through nonverbal signals such as facial expressions and body language i will focus on the development of contextaware and privacypreserving machine learning methods that are robust towards missing data
electrochemistryenabled reductive alkyl radical generation from alcohols

transition metalcatalysed crosscoupling reactions are considered landmark achievements in organic synthesis thus a modern organic chemists toolbox is filled with methods building csp2csp2 bonds however the myriad of tetrahedral carbon atoms in organic molecules alongside the evergrowing interest in drug discovery and development to access the treedimensional chemical space has encouraged chemists to develop crosscouplings that involve csp3 atoms despite their ubiquitous nature the most available sources of functionalised csp3 atoms alcohols are underutilised in crosscoupling reactions due to the difficulty associated with the csp3o cleavage step their mainstream adaptation for crosscoupling reactions would unlock a previously untapped chemical space by virtue of their structural diversity stability and convenience furthermore shifting the focus from halides to more environmentally benign alcohols offers a green and sustainable future by minimising manufacturing costs and toxic waste therefore the overarching goal of this proposed research programme is to devise new generally applicable and modular methodologies in organic chemistry to address the longstanding challenge of alkyl radical generation from alcohols thus making the csp3oh bond a mainstream radical crosscoupling handle using transition metal catalysis downstream application of these radicals would construct csp3csp3 csp3csp2 and csp3heteroatom bonds furnishing complex structures from ubiquitous precursors in order to harness the potential of native alcohols and to achieve the aims of this proposal the outgoing phase of this fellowship would take place in prof phil s barans laboratory at scripps research la jolla usa during the third final year the incoming phase would take place at dr josep cornellas laboratory at maxplanckinstitut mülheim an der ruhr germany
deep neuron embeddings datadriven multimodal discovery of cell types in the neocortex

understanding the relationship between structure and function of cortical neurons and circuits is one of the key challenges in neuroscience for inhibitory neurons roughly 15 subtypes are well characterized and we know a fair bit about their function however the vast majority of neocortical neurons are excitatory yet we know little about how differences in the morphology of excitatory neurons relate to their computational properties in vivo i hypothesize that there is a close correspondence between morphology and function of excitatory neurons distinct subtypes can be identified not only by their morphological features but also by how they respond to stimulation with natural stimuli to test this hypothesis i will build upon recent advances in machine learning and develop a datadriven approach to derive a bar code for each neuron a lowdimensional representation of its morphological features and its response properties to natural stimuli using these techniques i will tackle the structurefunction question by harnessing a largescale functional anatomy dataset a combination of electronmicroscopy reconstructions at submicrometer resolution with twophoton functional imaging of nearly all excitatory neurons in one cubic millimeter of the mouse visual cortex if successful my project could fundamentally change our view on the diversity of excitatory cell types and reveal how morphological features are linked to a neurons computational output it could pave the way towards a unified definition of cell types one of the fundamental building blocks of the brain the same approach could be used in other brain areas and even other cellular systems beyond the brain more broadly while machine learning is promising to transform the scientific discovery process as a whole my project could serve as a prime example of this transformation process in neuroscience and show how machine learning can help to discover structure in nature
crossspecies regulation of action by controllability a keystone of 5ht signalling

knowing the causal structure of a system enables controlling this system to our benefit in neuroscience the brain is widely envisioned as a complex controller whose main role is to help the organism reach and maintain itself into the most desirable states of its environment however not all environments are equally controllable and changes in environmental controllability require a permanent adaptation of cognitive and motor processes controllability estimation may thus play a key role in the regulation of action in health and disease but its cognitive and neurobiological underpinnings remain poorly understood here i will leverage a computational framework that i have recently developed to investigate in detail the neural implementation and the downstream consequences of controllability estimation for adaptive and maladaptive behaviours with a particular focus on the serotonin 5ht system my goal is to demonstrate that 5ht neurons broadcast controllability prediction errors and mediate the behavioural effects of controllability estimation in rodents and humans performing homologous tasks to do so i will record and manipulate the activity of genetically defined 5ht neurons using lightbased techniques and pharmacological manipulations i will further test whether drugnave patients diagnosed with depression suffer from downward biases in controllability estimation and whether these biases can be alleviated by the initiation of serotonergic antidepressants finally i will probe the neural mechanisms underlying controllability estimation mechanisms in healthy and depressed participants using functional neuroimaging the ambition of this translational project is to untangle the complexities of 5ht signalling and clarify its roles in depression and antidepressant treatments which are still elusive despite decades of research as such it may provide new insights and predictive phenotyping tools for evidencebased approaches in neuropsychiatry
indepth dynamical structural and optical study of unconventional au based plasmonic core catalytic shell antennareactor system by electron microscopy and simulations

noble metal nanoparticles au ag cu show unique optical properties called localized surface plasmon resonances lspr when interacts with external electromagnetic em waves in the uvvisnir region surface conduction electron of these nanomaterials can gain a huge amount of energy from the decay of the lspr hot electrons and can drive chemical reaction at the nanoparticle surface various metalsemiconductor combinations were observed to generate hot electron but their catalytic efficiency is very low due to the presence of the schottky barrier at the interfaces plasmonic metalcatalytic metal combination is a major breakthrough in this aspect and was observed to show very good catalytic efficiency contributed by hot electrons however they suffer from major structural instability during the reaction condition which is inherent in the conventional 3hhexagonal closedpacked hcp structures of these plasmonic nanostructures unconventional plasmonic nanostructures of 4h2hhcp configuration is considered to have higher mechanical and structural stability compared to the conventional one in this project we will look into the hotelectron generation and transfer mechanism of novel bimetallic unconventional au nanotriangle auntpd and auntgraphene antennareactor system in nanoscale spatial resolution experimentally using electron energy loss spectroscopy eels in aberrationcorrected transmission electron microscope actem and theoretically using timedependent density functional theory approach besides tem the nanostructures will be characterized using other high end characterization tools to investigate their structural optical and chemical properties stability of the nanostructures during reaction condition will be studied extensively using dynamical insitu heatingcooling and biasing holder in an actem these studies will of extreme important to develop next generation photocatalytic materials to replace the conventional fossilfuels