Dragon09/odtu_chatbot huggingface dataset:
precision cosmology and dark sector physics with gravitational waves

upcoming gravitational wave gw surveys will detect thousands of resolved events and possibly the stochastic gw background with multiple surveys across the electromagnetic em spectrum providing complementary cosmological and astrophysical datasets as gw and em surveys probe the same realization of the underlying matter density field multiprobe analyses which fully take into account statistical correlations between all probes are expected to provide significantly more information than that carried by the individual probes in this action i will develop the theoretical understanding and tools required to perform multiprobe gw analyses involving data from gw cosmic microwave background and largescale structure surveys while receiving topclass training from world experts at the university of padova i will develop a pipeline to robustly carry out such analyses on real data conduct a detailed investigation of fundamental physics scenarios which these analyses can probe and provide the first applications to real data in doing so i will open new windows onto the evolution of the universe the origin and growth of fluctuations the nature of dark matter and dark energy the behavior of gravity on cosmological scales and the origin of black holes while developing novel tools to arbitrate cosmic tensions this action will unleash the full power of multiprobe gw cosmology establishing such analyses as a precision cosmological tool and developing methods which will form the backbone of these analyses for years to come successful completion of this project will establish me as a world leader in precision gw cosmology while delivering a huge contribution towards maximizing the scientific output and return for a major part of europes investment in cosmology and astrophysics
powering access to investment for next generation circular economy initiatives in cities and regions

circularinvest is a ccripda initiative proposed by 4 organisations meta inova circle economy and iclei euro that aims provide project development assistance pda to selected circular economy ce project promoters from across europe so as to access the resources needed to develop significant ce investment projects at local and regional scale and to close the investments during the action in the proposal phase circularinvest collected signed support letters from european cities that wish to benefit from the circularinvest pda services with an overall investment volume exceeding 20m circularinvest will be deployed in 4 stages 1 ignition promotion and launch of 2 calls for expressions of interest to engage ce project promoters in circularinvests pda services 2 selection implementing an independent and inclusive selection of ce investment project promoters beneficiaries to receive pda support 3 technical assistance delivering pda services based on a threepillarapproach a onetoone tailored specialised services support from experts to beneficiaries b manytoone peertopeer workshops support from beneficiaries to beneficiaries b manytomany knowledge transfer and networking actions knowledge transfer and networking opportunities created for beneficiaries with investors ce project promoters and other stakeholders 4 replication distilling lessons learnt and preparing the pathway for future replication through the exploitation key exploitable results stepbystep guide k1 for derisking of future ce investment projects policy recommendations k2 for suitable policies for ce investments across europe circular investor guide k3 for increasing investor trust community of practice k4 a knowledge exchange platform for ce investments promoters business cases k5 to allow the replication of ce solutions and the process of accessing finance pipeline of ce investment opportunities k6 for pda support after the project
the worlds smallest power converters

ultra small low power converters for mobile devices lotus patented power interposer technology pit optimize electronic devices performance and at the same time it makes the converters much smaller it secures improved energy efficiency and thermal stability it has cmoscompatibility ie being able to integrate all components such as fets inductors and capacitors into a single substrate by using siliconbased material and manufacturing technology the size of lotus power converters if 13 to 110 of existing converteres which can free limited space in the devices and enables adding new features or it allow for further device miniturazation this added flexibility has high value for various smart electronics where size and high efficiency are the key limiting design factors lotus converters will be prices similar to current converters hence device manufactures can capture the full value of the created improved design flexibility
circular rna therapeutics for duchenne muscular dystrophy

rna therapeutics is an emerging field explored in various types of diseases such as genetic disorders cancer inflammation and viral infections currently most of the research focuses on the delivery of mrna molecules that will transiently express a desired protein that can replace a defective protein or manipulate gene expression in the cells my lab was the first to show systemic cellspecific delivery of mrna molecules in animals our approach and our novel amino lipids were translated to several clinical trials in the field of infectious and monogenic diseases in protein replacement therapy the main hurdle of using mrna is the relative short half life of the mrna to address this i suggest an approach for longterm expression circular rna circrna a covalently closed loop single stranded rna that has a significant prolonged stability compared to linear mrna thus presents an immense advantage in protein replacement therapy duchenne muscular dystrophy dmd is caused by xlinked recessive mutation in dystrophin gene leading to lack of functional dystrophin protein this disease affects 15000 males causes a progressive loss of muscle tissues ultimately leading to disability and premature death because dmd pathology is caused by the lack of functional dystrophin restoring the function of dystrophin is a potential therapeutic strategy as lipid nanoparticles lnps are the most clinically advanced candidate for rna delivery able to entrap large rna payloads herein i propose an innovative multidisciplinary approach for the specific delivery of circrnalnps to muscle cells that will express the dystrophin protein and replace the defective one in a dmd mouse model the longterm expression of the circrna will offer new hope for the treatment of monogenetic diseases such as dmd this approach may ultimately become a novel therapeutic modality for dmd and open new avenues for implementing circrnas for other types of genetic disorders and vaccines
ecosystembased governance with danube lighthouse living lab for sustainable innovation processes

the 2030 2050 green deal goals push eu towards integrated solutions clear targets ecodalli embedded in the mission restore our ocean seas waters by 2030 will help achieve freshwater targets of european green deal integrating a systemic approach for restoration protection preservation for the entire danube basin provided by coordinated actions the main objective of ecodalli is to centralise danube governance structures in terms of innovative solutions for improved ecological restoration protection and preservation of the danube basin and its delta by fostering a stronger innovation ecosystem within a wellconnected practices living lab system supported by a digital portal completly linked to the mission implementation platform innovative solutions open new opportunities for better water restoration taking into consideration social innovation aspects reducing climate change effects and reducing also costs an improved governance at danube basin level based on dedicated ecodalli tools will foster such innovative solutions change mindsets on water ecosystems restoration and climate change and develop value chains based on ecosystem services this will contribute to the decarbonisation goal of green deal cleaner water improved state of the environment land creation of jobs in sensitive areas along the basin especially in the danube delta ecodalli will support innovators connect to governance structures providing and maintaining networks trough dedicated living labs for knowledge cocreation workshops a custom made digital portal for synergies and innovation support services to experiment with new solutions helping the innovation ecosystem to create circular services towards sustainable blue economy in the danube basin and beyond
optimizing the implementation and scaleup of the who tb treatment decision algorithms for children with pulmonary tuberculosis in subsaharan africa

every year about a million children under 15 years are diagnosed with tuberculosis tb worldwide and about a quarter die however over 60 of children with tb remain undiagnosed particularly in subsaharan africa which accounts for about 20 of the global burden of paediatric tb cases in 2022 who issued an interim general recommendation to use integrated treatmentdecision algorithms tdas to diagnose tb in children under 10 years however this recommendation was based on very low certainty of evidence therefore we are seeking funding to address four objectives 1 to compare the effectiveness of tdas and the standard of care in routine clinical settings 2 to identify processes and contextual factors that influence the effectiveness and fidelity in the implementation of tdas 3 to compare the costs costeffectiveness and the population level impact of the tda strategies on the burden of tb and 4 to validate the diagnostic performance sensitivity specificity negative and positive predictive values of the tdas in various health system settings and clinical context a fouryear pragmatic openlabel cluster randomized controlled trial will be conducted in 120 primary health facilities in tanzania uganda and dr congo the primary outcome is the proportion of children detected and initiated on tb treatment about 60000 children with presumptive tb will be screened we anticipate that this project will yield results that address the issue of low detection rates of paediatric tb in subsaharan africa and beyond build research capacity in conducting implementation research in lowincome countries and foster networking and collaboration between the partner institutions
translational specialization of cellular identity in embryonic development and disease

a central question in developmental biology is how the genetic information is differentially interpreted to program cellfate decisions essential for embryogenesis the success of developmental cellfate decisions relies on the accurate rewiring of the proteome to support rapid cellular identity changes here we will address the fundamental question how is the developmental transcriptome differentially translated in time and space to program cellfate decisions i hypothesize that the developmental competence for cellfate decisions is controlled by fatespecific translational specialization factors tsfs tsfs program the selective and privileged translation of developmental genes in defined time windows to enable the acquisition of cell fate and maintenance of cellular identity notably in a proofofprinciple study we discovered that translational specialization in pluripotency poises future lineage choices in humans the research program transcend has four work packages 1 identifying candidate tsfs engineering cardiac fate at critical cellfate transitions by cellfate specific systematic cataloging tsfs on ribosomal complexes 2 dissecting the molecular and functional role of tsfs in cardiac cellfate specification by combining targeted crispr screens and tethered functional approaches 3 decoding the mechanisms modalities and design principles by which tsfs program cardiac identity by using a holistic approach including lossoffunction studies in cardiac 2d organoid and mouse models along with systemswide methods such as eclipseq and tcpseq and 4 engineering translation specialization modules to ameliorate pathological cardiac hypertrophy using patientderived in vitro and murine in vivo models ultimately the proposed research program transcend aims at transforming our current understanding of translational control over cellfate decisions and opening up innovative avenues for controlled therapeutic restoration of cardiac function
doubleactive membranes for a sustainable co2 cycle

the exploitation of fossil fuels brought our ecosystem on the edge of catastrophic changes mankinds current challenge is to reverse the increase of greenhouse gases emissions to mitigate the serious consequences on the global climate in this scenario the transition of modern society to a more sustainable and circular economy must be accelerated one of the key pillars of this transition is the implementation of a sustainable co2 cycle based on netzero emissions carbon capture and utilization processes membranebased technologies could play a pivotal role to bring this vision closer to reality indeed thanks to their high efficiency scalability easy operability they are candidates for the efficient capture and use of co2 the goal of dam4co2 is to develop a novel membrane technology for the simultaneous co2 separation and its photocatalytic conversion to c4 molecules as renewable fuels dam4co2 will overcome the conventional membrane technologies by developing double active membranes dams with a durable and highly selective gas separation layer and a photocatalytic layer able to simultaneously combine in one pot reverse water gas shift rwgs and fishertropsch synthesis fts to obtain c4 molecules the project will deliver a prototype designed using the designbuildtestlearn approach for a proofofconcept validation in labconditions close attention will be paid to the use of noncritical raw materials at every stage of the process and the carbonneutrality of the entire process will be certified by a full life cycle analysis dam4co2 brings together the complementary expertise of our team in the areas of organic inorganic and physical chemistry materials science and chemical engineering for the development synthesis and characterization of the starting materials and for the design construction and application of membrane modules dam4co2 will implement a sustainable cost and energy effective net zero carbon co2 cycle
dac migration roadmap towards deployment and related activities

the project daccord provides with management competencies employed already in the precursor project daccelerate to support to the eurail ju for the continuation of the professional management of the activities of the european dac delivery programme eddp enabled by the eurail ju and established in the eurail ju work programme in which european rail freight sector and manufacturers are united to strive for the europewide introduction of a digital automatic couplerdaccord describes in detail the required migration planning activities leading to an industrial migration roadmap as the eddp focuses on the preparation of dac migration deployment from 2023 onwards for doing this the project will work closely with eddp members and stakeholders to set up the overall task list in the actions defined by the eddp as alignment on the daceddp objectives throughout europe is key to achieve consensus on objectives and specially to unlock the necessary funding for such a sectorwide transformation daccord establishes a mechanism for collecting and reporting the positions in the european stakeholder landscape to support the eurail ju in providing recommended measures to the eddp stakeholder management teamprofessional communication materialtools and targeted dissemination activities will back the efforts any of the described activities involving stakeholder management and dissemination actions will be coordinated and submitted for validation to the eurail juto make dac implementation economically possible the project will further provide a draft concept on requirements for the dac deployment funding mechanisms and potential options to fulfil them to prepare the way for dac deployment management entities in europeto align the different activities shaping the architectural and procedural dacrelated european railway system project trans4rmr in the eurail ju flagship area 5 the eurail ju system pillar task 4 and eddp daccord will support the eurail ju in the crosscoordination and interfacing of the three entities and in the management and administration of its different decisionmaking bodies
boxing earthquakes and faults in active tectonics

largemagnitude earthquakes accommodate most of the tectonic deformations of the earth along active fault systems however despite the occurrence of numerous earthquakes every year our knowledge of the physical processes governing earthquake ruptures the relation between rupture propagation slip distribution and fault geometry and the evolution of the fault geometry through successive earthquake cycles is still extremely limited hindering significant progress in earthquake hazard mitigation although an increasing number of observations points to a key role of the fault geometry and its evolution on the way rupture propagates and ends through successive earthquake cycles understanding the 3d geometry of fault systems and its dynamics during earthquakes from natural data alone remains difficult and fraud with problemsin this project i propose a new approach to address those pending questions by generating my own earthquakes from a combination of lab experiments and numerical simulations to make a major step forward in the understanding of natural observations of earthquake ruptures and fault systems these experimental earthquakes will provide original data to study simultaneously rupture processes and fault geometry and its evolution in 3d the new dataset will be used to train neural networks designed to solve for earthquake source parameters including 3d rupture geometry and finite slip distribution eventually the neural networks will analyze real earthquake ruptures incorporating remote sensing field and seismological data to produce 3d earthquake rupture models the project befact will thus produce an integrated view of the earthquake fault systems that will answer these longlasting questions about the intimate relations between earthquake ruptures and fault system geometry providing a new steppingstone toward a more earthquakeresilient society
cohort network to be activated globally in outbreaks

contagio is a consortium of investigators from europe north america latin america asia and africa that aims to create coordination mechanisms to rapidly react to infectious disease reemergence in low and middleincome countries lmics the consortium builds on the experience acquired through the ecfunded projects recodid orchestra zikalliance and idamswe believe that observational cohorts are essential instruments as they provide much needed information on the natural history of the disease including transmission routes vulnerability factors the proportion of and risk factors for severe disease outcomes and therefore lay the ground for intervention studiescontagio will convene cohort investigators and dataspecimen sharing specialists by a generating a preparedness and interoperability platform wp12 b enabling a suite of tools and key pathways for data sharing wp23 and c developing governance for sharing of biological material in the event of emerging infections wp4 a key step on this path is the investigation of how ongoing cohorts repurpose their focus from one infectious disease to another in the event of epidemics eg from dengue to zika to covid19 the open science foreseen in contagio will create a coordination mechanism and framework for the role of sustainable cohorts in preparedness for reemerging infectious diseases during interepidemic periods which will be vital for the joint progress towards a better tackling of disease emergence aimed at the protection of citizens in lmics europe and the rest of the world
omnisupervised learning for dynamic scene understanding

computer vision has become a powerful technology able to bring applications such as autonomous vehicles and social robots closer to reality in order for autonomous vehicles to safely navigate a scene they need to understand the dynamic objects around it in other words we need computer vision algorithms to perform dynamic scene understanding dsu ie detection segmentation and tracking of multiple moving objects in a scene this is an essential feature for higherlevel tasks such as action recognition or decision making for autonomous vehicles much of the success of computer vision models for dsu has been driven by the rise of deep learning in particular convolutional neural networks trained on largescale datasets in a supervised way but the closedworld created by our datasets is not an accurate representation of the real world if our methods only work on annotated object classes what happens if a new object appears in front of an autonomous vehicle we propose to rethink the deep learning models we use the way we obtain data annotations as well as the generalization of our models to previously unseen object classes to bring all the power of computer vision algorithms for dsu to the openworld we will focus on three lines of research 1models we will design novel machine learning models to address the shortcomings of convolutional neural networks a hierarchical from pixels to objects imagedependent representation will allow us to capture spatiotemporal dependencies at all levels of the hierarchy 2data to train our models we will create a new largescale dsu synthetic dataset and propose novel methods to mitigate the annotation costs for video data 3openworld to bring dsu to the openworld we will design methods that learn directly from unlabeled video streams our models will be able to detect segment retrieve and track dynamic objects coming from classes never previously observed during the training of our models
aquatic pollution from light and anthropogenic noise management of impacts on biodiversity

recent decades have seen dramatic increases in our understanding of light and noise pollution lnp impacts on aquatic biodiversity these impacts are globally widespread and occurring in all aquatic ecosystems from lakes and rivers to the seafloor a variety of technologies and policy interventions are also now available to mitigate lnp impacts in aquatic ecosystems yet numerous knowledge gaps exist that if addressed would substantially improve our understanding of the prevalence and impacts of lnp and our ability to manage them there remain critical gaps in our understanding of the combined occurrence and impacts of lnp across the breadth of aquatic ecosystems particularly at large spatial scales and over longtime frames while numerous abatement options exist pathways to achieving their effective implementation remain unclear aquaplan is an interdisciplinary paneuropean consortium that are world leaders in the fields of aquatic light andor noise pollution aquaplan aims to quantify the combined impacts of lnp on aquatic biodiversity across european seas lakes and rivers and facilitate the implementation of empirically sound strategies for managing these pollutants through novel interdisciplinary approaches aquaplan will i provide a comprehensive review of the state of the art on the impacts of lnp on aquatic biodiversity ii assess perceptions of lnp impacts and the need for their management across key stakeholder groups iii quantify the combined impacts of lnp on the conservation status of biodiversity in aquatic habitats iv identify the mechanisms leading to individual and combined impacts of lnp on aquatic biodiversity v explore innovative interdisciplinary solutions to prevent and mitigate lnp impacts on aquatic biodiversity vi build an international interdisciplinary network to assess prevent and mitigate the combined impacts of lnp on aquatic biodiversity