Dragon09/odtu_chatbot huggingface dataset:
advance marine research infrastructures together

the european ocean observing system eoos is the foundation of european ocean knowledge the core marine research infrastructures mris focused on ocean observing emso euroargo and icos erics eurofleets eurogoship groom ri jerico ri and minke as infra projects are the main providers of in situ ocean data for the eoos and copernicus and the primary managers of instrumental capacity supporting fundamental researchthese mris are aware that the lack of effective cross coordination prevents them from fully supporting frontier research while the lack of integration makes it difficult to reach a critical mass for eoos and results in significant cost duplication accordingly amrit gathers these mris together with oceanopswmo international coordination experience with the objective to ensure seamless operation of marine observation platforms ensure the full nominal use of sensors and accelerate their evolution exploit the complementarity of the various observation platforms ensure the overall coherence of the ocean data value chainto achieve these objectives amrit will design and implement an eoos technical support center eoos tsc for a fully integrated information service across the data value chain from early planning stages to final delivery to users a crossplatform fully standardised data acquisition methodology for essential ocean variables a collaborative federal structure to operate these services relying on the eris and their membersthe eoos tsc will be the cornerstone in establishing and maintaining the eoos upon which european ocean observing can be strengthened in the coming decades amrit will provide a catalyst for the development and consolidation of mris throughout europe providing a benchmark for operational coordination and collaboration amrit will advance eoos in line with its 20232027 strategy and beyond and the european commissions ambitions for sharing responsibility in ocean observing across europe
molecular visualization of high performance computing simulations with vtx

molecular dynamics simulations md are widely used in molecular and structural biology and drug discovery to study the structure properties and dynamics of small and macromolecules the size of the simulated systems up to a billion atoms and the length of the simulations from microseconds in 2010 to milliseconds in 2021 in million atom scenes have dramatically increased following the recent advances in computing hardware gpu clusters and storage additionally with the recent advances in cryo electron microscopy and the arising of alphafold many new models of macromolecular structures and complexes are now available for molecular simulation due to their more and more extreme size the storage analysis and visualization of the resulting data is becoming problematic 1 technically for a usable and efficient processing of the data and 2 environmentally in terms of storage bandwith and power comsumption within the erc vidock project we created a highly usable free and opensource highperformance molecular visualization software called vtx vtx is optimized to handle the biggest molecular structures and trajectories notably by including cuttingedge molecular graphics with a high performance graphics engine coupled with a video game based minimalistic taskoriented gui to maximize its usabilitythe goal of the vtxhpc project is to improve the performance usability and sustainability of vtx for the visualization of the high performance computing molecular dynamics simulations big data by developing and implementing 1 a highly compact molecular structure and trajectories file format optimized for streaming for increased performances and reduced environmental load 2 a meshless version of the widely used solvent excluded surface representation for scalability purposes and realtime ray tracing in the rendering engines and 3 adapted manipulation and controls for the generation of illustrations and movies of massive dynamic molecular scenes
modelling the effect of dispersion on convection in porous media

global warming attracts great social economic political and scientific attention a major proportion of the carbon dioxide co2 emitted in the atmosphere is due to anthropogenic activities and represents one of the main causes of this global problem a possible solution is represented by carbon sequestration co2 is captured from power plants and injected in underground geological formations where it dissolves into the resident fluid brine and can be safely stored for hundreds of years in this frame the properties of the rocks play a key role after injection co2 follows sinuous pathways among the rock grains and spreads in a complex manner making predictions on the longterm dynamics hard to obtain for this reason the identification of suitable sequestration sites and the design of the injection process is still a challenging task moreover injection of co2 takes place at depths between 1 and 3 km beneath the earth surface which makes insitu measurements hard to obtain simulations and labscale experiments are essential to make practical and prudent decisions about the future energy production strategies the european union eu must be able to accurately identify its carbon storage capacity the research proposed here modelling the effect of dispersion on convection in porous media media aims at improving our understanding and design capabilities of carbon storage processes in geological formations this study will focus on the analysis and interpretation of experiments and simulations of convection in porous media the results will be used to develop models that describe the rock properties contributing also to improve commercial reservoir simulators as part of media the applicant will 1 examine the effect of dispersion via innovative experiments in bead packs 2 quantify the effect of dispersion with stateofart numerical porescale simulations and 3 identify appropriate models of dispersion for largescale simulations
effective fabrication of 2d tmds with the aid of insitu microscopy

twodimensional 2d janus transition metal dichalcogenides janus 2d tmd are specific planar materials with different top and bottom termination layers this new class of materials thus exhibits broken structural symmetry in the outofplane direction predicted to result in exotic new properties such as vertical piezoelectricity rashba spin splitting and unexpected exciton behavior however fabrication of janus 2d tmd is an extremely challenging task owing to the need of an epitaxial atomic replacement within classical 2d tmd this project is designed to achieve chalcogenide exchange within classical tmds by two novel approaches in the first approach we will utilize an electron beam as tool to alter the top layer allowing its selective selenizationsulfurization in the second approach we aim to utilize increased reactivity in the van der waals gap to allow for selective chalcogenide exchange within the gap this requires careful set of experimental conditions these will be sought with insitu electron microscopy which allows to overcome the common experimental black box approach data from insitu microscopy allow to determine kinetic constants potentially allowing to generate general growth protocols for janus tmds the growth will be followed analysis of structural optical and electrical properties of the grown materials the proposal builds on an established know how of the host institution ceitec and the supervisor miroslav kolibal providing the aplicant estcio paiva de arajo with relevant scientific training as well as widening his skillset via career development plan the project emphasizes the twoway knowledge transfer
nanobiotechnologies for innovative therapeutic approaches for cancer

nanobio4can is a new collaborative research training programme of excellence for the recruitment of 24 postdoctoral fellows in the field of nanobiotechnologies for innovative therapeutic approaches for cancer led by sabanci university nanotechnology research and application center sunum in collaboration with 3 leading turkish research centers in life sciences tubitak marmara research center tubitakmam koç university research center for translational medicine kuttam and izmir biomedicine and genome center ibgnanobio4can focuses on cancer research while providing a tailormade accelerator programme to educate tomorrows researchers in a broad set of scientific transferable and business skills to develop the mindset of an entrepreneur in parallel to the academic career the programme is designed around international networking intersectoral mobility interdisciplinary research topics to enhance the career opportunities of experienced researchers in the global market and to reach the benefits of employing creative researchers with high professional expectations in the programmes research priorities drug development targeting system development delivery systems and testing validation systems through the programme it is aimed to create roadmaps for the commercialization of the research outputs by licensing technologies of fellows in parallel while implementing their projects nanobio4can will deliver impact by putting research and innovation into a new role combined with new forms of joint efforts and collaboration as well as by engaging citizens this postdoctoral programme will contribute to broader the impact within europes economy and society also contributing to the essential horizon europe societal challenge health wellbeing the programme is also aligned with horizon europes cancer mission area and its health global challenge
neural and serotonergic mechanisms underlying time valuation in rats

time is our scarcest resource humans and other animals must decide how to spend their time choosing from endlessly many activities with distant and uncertain outcomes thereby assigning value to their time the neuromodulator serotonin is thought to arbitrate between impulsivity and the patience required to wait for future rewards suggesting a pivotal function for time valuation serotoninreleasing neurons project to frontal cortex where i have previously identified neurons that predict confidenceguided time investment but the neural and serotonergic mechanisms for time valuation remain unknown here i aim to identify the cortical control mechanisms that flexibly adjust the value of time to optimize time investment decisions my central hypothesis is that serotonin sets the value of time dynamically encoded in frontal cortex neural activity i will employ a family of decision tasks that allows for modelbased quantification of time valuation by requiring rats to invest variable time into choice options with uncertain and delayed outcomes we will use highdensity probes and extracellular singleunit recording devices combined with chemical sensor imaging and optogenetics in freely moving rats tools that i have developed during my postdoc to address three main neural mechanisms 1 what are the dynamic neural signatures of time valuation in orbitofrontal cortex a frontal cortex area central for valuation 2 does serotonin specialize in conveying decision variables that construct time valuation 3 how does serotonin impact frontal cortex neurons and network dynamics for time valuation this research will clarify serotonins behavioral function and identify principles of serotonergic neuromodulation of cortical information processing the projects will further characterize the structure of frontal cortex population dynamics underlying time valuation and decisionmaking
shaking table tests for assessment of the dynamic response of domes and masonry structures to earthquake actions

vaulted structures hold enormous cultural historical and artistic value as they constitute one of the main structural elements characterising monumental masonry architecture among them the dome is undoubtedly the most emblematic and prominent one preservation of cultural heritage for future generations and its sustainability is one of the major commitments to which our society is called the seismic vulnerability of some monumental buildings and the great difficulty in estimating their safety level calls for urgent remedies to the current lack of knowledge and technical regulations the research aims to carry out a systematic series of shaking table tests on scale models suitably supplemented by a large set of reliable simulated experiments by discrete element models with the goal of characterising the dynamical behaviour of masonry domes the ultimate goal of the research is to draw up valuable recommendations for the development of rational regulations verification criteria guidelines for professionals and postearthquake first intervention protocols through the theoretical analysis of the experimental results the capability to properly evaluate the safety level of masonry domes will enable limiting consolidation interventions to a minimum identifying with greater precision those cases that really require consolidation with consequent economic benefits it will also enable calibrating interventions on the basis of the true behaviour of the structure avoiding exaggeratedly invasive retrofitting works that distort the original behaviour of the construction thus being in line with the principle of architectural conservation while simultaneously ensuring the appropriate safety requirements of the building
identity attributes matrix initiative

iami aims to revolutionize entity identification and resolution in security intelligence and investigation contexts it addresses the challenges and limitations faced by current identification techniques and offers a visionary solution through advanced aipowered software the projects longterm vision is to propel eu leas and securityintelligence organizations into a new era of intelligence investigation and forensic capabilities iamis core innovation is the development of an aipowered software system that can seamlessly integrate with existing case management systems and analytic tools at the heart of iami is the concept of the identityattributesmatrix iam a 3d construct that encompasses a broad spectrum of multimodal identityrelated attributes including biometric data nonbiometric identityrelated data and analytic results these attributes are used to facilitate largescale entity identificationresolution including a broader range of entity types simultaneous and rapid multientity identificationresolution systematic and continuous analysis of flux of probe attributes confidence in noisycorrupted probe data reduced false positive rates access to contact attributes and the ability to classify fake identities and botsavatars furthermore iami sets the groundwork for effective collaboration and data sharing across european agencies including international organizations like europol and interpol through the establishment of a new euwide iami enrolled data collection repository for terrorist threat assessment and awareness which enriches their capabilities and assets the realization of iamis vision will be achieved through the demonstration of the developed iami solution it will be communicated and disseminated among eu leas and securityintelligence agencies through project activities including deliverables training curricula workshops and pilots iami represents a significant step forward in eu fight against terrorism
timelapse a vr application for speeding up time passage during chemotherapy

chemotherapy can involve lengthy treatment sessions lasting up to several hours such a duration spent in an overly medicalized setting can induce in the patients a monopolizing focus on their pathology which leads to a substantial decrease in their mental wellbeingone way to alleviate the impact of long chemotherapy sessions would be accelerating subjective time passage as perceived by the patients therefore making the treatment seemingly end more quicklystemming from the erc advanced grant anicon the timelapse project proposes to prototype test and launch on the market a virtual reality vr application that will accelerate subjective time passage during chemotherapy the idea whose singular aspects were the object of previous scientific evidence was so far not implemented comprehensively timelapse will fill this rd gap with unprecedented methods and targets adopting a patientcentred approach to innovatively incorporate in the conception of the vr application the irreplaceable perspective of its endusers the oncologic patientstimelapse will take this idea to proof of concept by means of five subsequent phases 1 theoretical elaboration to shape a theoretical hypothesis concerning what types of vr content might accelerate subjective time passage during chemotherapy 2 participatory design to refine this hypothesis by incorporating the users perspective 3 production to develop the content for the vr application to obtain a prototype ready to be tested 4 assessment to demonstrate the tolerability and effectiveness of the vr application and 5 precommercialization to prepare the launch of the vr application on the market to ensure appropriate methodological tools for each phase timelapse will rely on a collaboration between three actors a core research group part of the anicon team an industrial partner expert in vr applications khora and a clinical partner with substantial expertise in cancer treatment fondazione irccs san gerardo dei tintori
futureproof data systems in the postmoore era

three major trends put immense pressure on existing infrastructure first there is an increased demand for compute given the exponential growth of data volume we are collecting second as most data and computeintensive systems move to the cloud it is vital to make datacenters more efficient third pressured by the waning laws of computing infrastructure end of dennard scaling and its impact on moores law the hardware landscape has embarked on a major push towards specialization unsurprisingly all of these have major implications on software development fds addresses these challenges in a holistic fashion by establishing the foundations of a new software infrastructure more specifically i propose new system software abstractions that enable more efficient execution of dataintensive jobs on modern hardware and new costmodels to support reasoning about the performanceresource efficiency tradeoffs when scheduling the said workloadsto enable development of futureproof data systems i propose replacing the traditional monoliths of a logicalgraph optimizer and execution engine with a new flexible framework for optimization and compilation and a runtime system that can exploit the features of modern hardware but remains amenable to its evolving nature doing so requires innovation on many levels and combines work from many layers of the system stack from hwsw codesign to compilers operating and runtime systems databases and distributed systemsit is a nontrivial undertaking but it is a necessary one and it will have big and lasting impact on academia industry and society in fact i strongly believe that the only way forward towards reducing the increasing gap between data and computedemand in resourcehungry data centers is a softwaresolution that boosts efficiency embraces specialization removes redundancy and optimizes for data movement fds will be the pioneering system leading the way
enzymemediated dynamic combinatorial chemistry

biomolecular templates define the outcomes of enzymatic reactions in some of the most fundamental of biological processes such as dna replication transcription and translation in synthetic chemistry molecular templates have enabled the synthesis of highly complex molecular architectures and interlocked structures the possibility to use synthetic templates to direct enzymatic reactions and obtain alternative products to those generated in nature will be investigated in this project the overall objective of this research programme is to explore a conceptually new approach to the use of enzymes for chemical synthesis and thus establish a new synthetic methodology templatedirected enzymemediated dynamic combinatorial chemistry we will exploit the inherent reversibility of enzymatic reactions to generate dynamic chemical networks which can be manipulated via supramolecular interactions with artificial template molecules to promote the preferential synthesis of specific products to implement this novel concept we will develop an unprecedented templated enzymatic approach to oligosaccharide synthesis we will explore dynamic systems of interconverting glycans with the goal of accessing unusual or challenging oligosaccharide products the specific aims are 1 to achieve templated enzymatic selective synthesis of largering cyclodextrins cyclodextrins cds with more than 8 glucose units 2 to explore cyclodextrin glucanotransferasemediated dynamic mixtures of modified cds and using thiolfunctionalised cds develop a doubly dynamic system that combines reversible transglycosylation with disulfide exchange 3 to generate phosphorylasemediated dynamic mixtures of linear 14glycans and employ templates to achieve length and sequenceselective synthesis 4 to establish a fuelled farfromequilibrium system for continuous largering cd synthesis using templates together with a series of interconnected dynamic enzymatic transformations
de novo synthesis of fluoroarenes and fluoroheteroarenes

historically one of the biggest challenges in synthetic organic chemistry has always been to synthesize fluoroarenes arf and fluoroheteroarenes hetf from cheap readily available starting materials as fluorination has always concerned synthetic chemists due to either undesirable safety of reagents low selectivities or poor reactivities since fluoroaryl arf and fluoroheteroaryl hetf are the most common fluorinated motives among pharmaceuticals development of a completely novel synthetic strategy would be of great importance to the research community de novo construction of fluorobenzene using c1f1 synthons is an unprecedented process we foresee that little explored monofluorinated ortoformates ro3cf fofs could be a synthetic equivalent to access c1f1 synthon for annulation reactions
recurrent miscarriage as a complex phenotype harnessing largescale clinical data to uncover underlying biological pathways

recurrent miscarriage rm affects 1 of couples trying to conceive and has a wide range of negative physical and mental impacts yet still has few evidencebased preventative treatments rm is used as a catchall term for an event with diverse underlying causes broad categorisation hampers research targeting specific causes that could identify potential therapeutic avenues this generalisation compounds trauma for patients and the path to successful pregnancy is unclearas a msca fellow at the university of copenhagen i will generate deeper understanding of rm aetiology by identifying granular subgroups of rm and elucidating their underlying biology to do so i will 1 establish novel phenotypes derived from clinical data in electronic health records including ultrasound images and use these phenotypes to identify clinical phenotypes driving current miscarriage classification systems 2 apply hypothesisfree unsupervised machine learning to clinical data to disentangle complex phenotypes of rm into clinically relevant subgroups 3 employ genetic analyses to characterise biological pathways underlying these rm subgroups and identify potential therapeutic avenuesthis fellowship will allow me to apply my skills and expertise in largescale biomedical data analysis and genetics to a new field in which i will pursue a longterm career in particular it will provide training in field specific scientific knowledge obstetrics and gynaecology cutting edge techniques machine learning and transferable skills towards scientific leadership research managementtaken together the outcomes of this interdisciplinary research will have ramifications for researchers clinicians and patients for researchers a granular understanding of rm and its causes will enable discovery of novel therapeutic avenues for clinicians it would assist clinical decision making towards personalised treatments for patients alleviation of trauma through empowerment with information