Dragon09/odtu_chatbot huggingface dataset:
inferring the crossplatform structures of sociopolitical polarization around climate change on social media

addressing climate changes existential threat demands a global effort to rapidly reduce carbon emissions however political gridlock fuelled by societal polarisation can stymie effective action polarclimate confronts this challenge studying interventions to curb climate scepticism and foster consensuspolarclimate will use a social media lens to advance the current stateoftheart on climate polarisation tackling three key research challenges first existing studies of climate polarisation fail to consider how passive engagement with climate narratives shape climate opinions second studies of climate polarisation are typically siloed to a single platform limiting their demographic relevance and preventing a robust crossplatform analysis of content and structure finally studies do not adequately consider the agents who drive climate polarisation especially those organisations with a vested financial interest in maintaining the status quo to address these challenges polarclimate will take an interdisciplinary multimodal approach drawing on quantitative methods from networks and data science and qualitative methods from climate communications the analysis of passive consumption and crossplatform structure will be studied using bayesian inference and network reconstruction methods and content will be analysed using taxonomies of climate scepticism and computeraided topic modelling across various climate publics finally organisational financial interests will be identified by using bloomberg financial data and compared to the rhetoric of corresponding organisations on social mediapolarclimate will balance scientific rigour with policy relevance the projects outputs will offer multimodal evidence to inform the development of concrete policy recommendations aimed at mitigating the adverse impacts of climate polarization these recommendations aim to contribute to a more unified and effective global response to climate change
ness dual hybrid systems costeffective co2 solutions to increased vehicle electrification and efficiency

ness is the most efficient and costeffective dual hybrid electric fuel solution and reduces 1318 vehicles fuel consumption co2 and nox emissions it also converts fossilfuelled gasoline and diesel cars into hybrid electric vehicles hevs ready for 100 climate neutral renewable fuels such as efuels h2 gas and 2nd gen biofuels ness converts both new and existing cars as a plug n play retrofit product conversion it consists of an addon component that goes attached to the engines alternator and turbocharger forming a fully modular solution adaptable to all types of engine and vehicle sizes the savings are attained thanks to various functionalities that reduce the consumption of the vehicle in different ways depending on the drive mode the vehicle runs exhaust gas energy recovery works at cruising regenerative breaking when breaking energy boosting functions at accelerating and stop start functions when the vehicle is stationary
new strategies to characterise genomic diversity for biodiversity conservation

genetic diversity is one of the three basic elements of biodiversity understanding the full extent of this diversity within species is fundamental for their conservation however despite the ongoing advances in dna sequencing technologies conservation genomics is lagging behind in using wholegenome data efficiently in contrast other fields such as human genomics have developed theoretical and computational approaches to tackle this if applied to endangered species these approaches will provide a better understanding of their genetic diversity particularly regarding the structure of this diversity across populations and its effect on adaptation to changing environmentsby leveraging two types of genetic data currently overlooked in conservation genomics haplotype information and structural genomic variation i will develop new analysis strategies to characterise genomic variation in endangered species using the arctic fox as a model species i will use wholegenome data from both presentday and historical samples to 1 infer subtle patterns of population structure and gene flow 2 quantify temporal changes in genomic structural variation and 3 assess the ability of these types of genetic data to inform on adaptation to local environmentsthis research programme will provide not only a comprehensive characterisation of genomic diversity in arctic foxes with a direct impact on the swedish arctic fox conservation programme but also new analytical tools for conservation genomics unlocking the full potential of wholegenome data for biodiversity conservationcombining my solid track record on both human and biodiversity population genomics and the hosts extensive expertise on conservation genomics and palaeogenomics this fellowship will allow me to obtain the key scientific and transferrable skills to establish myself as a research leader in the field and make substantial contributions to biodiversity conservation
directed orchestration of microfluidic environments for guided selforganisation

in europe 263 per 10000 pregnancies are diagnosed with a fetal congenital anomaly congenital anomalies also referred to as birth defects are defined as structural or functional disorders that occur during fetal development and are inherited andor caused by environmental factors unfortunately the link between environmental factors such as drugs toxins or other chemicals and the manifestation of these multifactorial disorders is poorly understood to identify environmental factors affecting tissue and organogenesis and study their pathogenic mechanisms new 3d in vitro models with reliable and highly reproducible architecture are urgently needed none of the current cell culture systems available can provide the controlled environment needed to sufficiently guide the selforganization process of stem cellbased 3d in vitro models our new microfluidic platform domes is the first of its kind combining precise control over morphogenetic processes with standardized and userfriendly handling in this project we will exemplarily focus on congenital diseases of the kidney in particular the collecting duct system we will analyse onchip the impact of specific environmental compounds such as drugs and endocrine disruptors on the branching morphogenesis of the collecting ductdomes is a product family of microfluidic 3d cell culture chips which will allow the control and study not only of kidney organoids but of other 3d cell models including lung neural gut organoids and embryoid bodies this is the first instance of a cell culture platform allowing direct orchestration of the microfluidic environment for guiding selforganisation symmetry breaking and organogenesis and represents a paradigm shift in researchers ability to study development of organs and their congenital anomalies in vitro
airborne wind energy training for industrialization network

the objective of awetrain is to train 12 esrs on how airborne wind energy awe can be integrated into the industrial energy system disruptive innovation like this is needed to fulfill the goals of the green deal fit for 55 the revised res directive and the offshore energy strategy awe can access wind resources conventional cannot thus can help fill gaps in renewable energy generation furthermore it has the potential to cut the capital cost of wind energy by half while doubling the production capacitythe research program is based around 10 attractive multidisciplinary esr projects distributed across universities and technology startups the first scientific workpackage looks at improving the reliability of the devices so that it is viable for industrial exploitation the second scientific workpackage will contain groundbreaking research looking at how the technology can be scaled up to construct gridscale power plants the final groundbreaking scientific workpackage looks at the potential impact of this technology on european electricity grids and the transformations needed in society and the awe sector to acheive these benefitsthe intersectoral training will develop the skills needed in the energy industry to facilitate the green transition increasingly professionals need to work in multidisciplinary teams have the awareness of how their sector is evolving and the agility so their work can be adapted for maximum impact the skills developed in this network can be transferable to industrializing any emerging technology this will give the esrs highly attractive skills for transforming ideas into products that will boost their career prospects this will be done through networking among their scientific peers and engaging with the general publicfor the institutes the ambitious research and training implemented though international collaboration will greatly enhance our own training innovation capacities
novel business model enabled by a patented fermentation technology to produce 100 biodegradable textile fibres from co2emissions

our innovation is the creation of a disruptive business model in the textile industry by establishing a new interconnection between two industrial value chains that are typically not connected co2emitting industry such as energy intense sectors eg chemical industry and the textile industry the innovation is enabled by our patented fermentation technology which turns harmful industrial co2gases into valuable 100 biodegradable biopolymers we capture co2 emissions before their release into the atmosphere and use them as feedstock to produce addedvalue pha biopolymers through a highly efficient highyield fermentation process in this process 25 tonnes of co2 are turned into 1 tonne of pha biopolymer from which textile fibres are produced and sold at current market prices 1kg the material can be used for several years and fully decomposes within 1 year in industrial or home compost conditions or in the marine environment thus preventing plastic pollution
manipulating magnetic domains through femtosecond pulses of magnetic field

while the electronic industry has successfully entered the nanoworld following moores law the speed of manipulating and storing data lags behind creating the socalled ultrafast technology gap processors already have a clock speed of a few gigahertz while the storage on a magnetic hard disk requires a few nanoseconds this bottleneck can also be found in magnetic random access memory devices the use of ultrafast pulses of light has demonstrated effectiveness in manipulating magnetic orders on very short time scales however the physical processes involved are still poorly understood and such a control reaches the micrometer scale at best effectively preventing their use for highdensity data storagefemtomagnet aims to develop an entirely new approach to manipulating magnetic domains based on the engineering of plasmonic nanodevices for that these devices will optically generate ultrashort intense and reversible pulses of magnetic field at the nanoscale a challenge that no other technique can achieve so far to meet its ambitious goals my research program engineers innovative plasmonic nanostructures inverselydesigned to tailor lightmatter interactions at the nanoscale under the right illumination conditions the electromagnetic fields generated by the nanostructure set the electrons in a metal such as in a coil in pseudocontinuous drift motion in turn yielding the creation of a strong stationary magnetic fieldby specifically creating and manipulating ultrafast strong confined and reversible pulses of magnetic field in an alloptical fashion my research program will enable the manipulation of magnetic domains at the nanoscale and over very short timescales a few tens of femtoseconds opening the way to applications in ultrafast data storage and data processing
optovalleytronic moir polaritons

the emerging field of optovalleytronics based on twodimensional 2d transition metal dichalcogenides tmds has the potential to revolutionize quantum information processing by enabling alloptical quantum photonic circuits with nonlinear and nonreciprocal devices such as optical switches and isolators such devices are inherently difficult to realize because photons generally do not interact and flow in both directions due to timereversal symmetry in this action i propose to develop novel optical microcavities with embedded tmd heterostructures to achieve photonphoton interaction and directional light propagation a small twist angle between tmd heterobilayers gives rise to hybrid moir excitons exhibiting a permanent dipole moment in addition to increased lifetimes and oscillator strengths strongly coupled to a microcavity moir polaritons emerge with valleycontrasting dipolar optical selection rules moir polaritons exhibit optical nonlinearities induced by the moir potential based on all this the overriding research objective of the project 2dvalley is to develop and investigate novel optovalleytronic devices utilizing valleypolarized moir polaritons to achieve this goal i will first develop gatetunable moir polaritons by studying hybrid moir excitons in cryogenic optical spectroscopy and then embedding them into optical microcavities i propose to lift the valley degeneracy of moir polaritons with an external magnetic field providing control over the valley degree of freedom finally i propose to replace the external magnetic field by an internal builtin magnetic field via 2d ferromagnets which enables unprecedented intrinsic control of the valley degree of freedom by lifting valley degeneracy via magnetic proximity exchange interaction such nonlinear and nonreciprocal optovalleytronic devices would have potential technological and societal impact by increasing information processing speed volume and security
next generation offtheshelf non fratricidedirected car immunotherapy for relapserefractory tcell acute lymphoblastic leukemia

rr tall remains a major clinical challenge despite improved survival rates thanks to intensive chemotherapy regimens eventfree efs and overall os survival remains 70 and rr tall has a particularly poor outcome there are currently no potential curative options for rr tall beyond hematopoietic stem cell transplantation hsct and conventional chemotherapy which is linked to large tradeoffs in toxicities sadly 90 of patients with rr tallll ultimately die strategies targeting tcell malignancies using immunotherapies including carts remain challenging because of the shared expression of target antigens between normal and malignant tcells ultimately leading to lifethreatening immunodeficiency due to tcell aplasia and fratricide of carts which limits their therapeutic efficacyhere we propose a unique and innovative approach to address this unmet clinical need based on the dual targeting of two specific antigens with expression restricted to tcell lymphoblasts our consortium aims to provide a costeffective immunotherapeutic alternative for most of the rr tall patients by the dual targeting of two tnonfratricide antigens using our scalable hlaindependent allogenic offtheshelf proprietary platform of cordgdt cells thus overcoming the challenges of harvesting sufficient numbers of functional effector t cells from multitreated patients with advanced disease while avoiding the toxicities derived from other shared antigens between healthy and malignant t cells our strategy will be preclinically assayed using cuttingedge experimental models and we will mature and scaleup the proprietary platform of universal cordgdt cells redirected against these two nonfratricide antigens expected to provide superior effector features and contribute to adhoc pointofcare treatment with costeffective readytouse and offtheshelf effector cells
structured functional glasses for lasing sensing and health applications

over the past four decades glasses glassceramics and composites have contributed to achieving the most advanced socioeconomic breakthroughs steadily as advanced hightech materials to highlight the importance of glass 2022 has been declared international year of glass by the united nations to compete with emerging economies like china and india the european glass sector is challenged to seek product leadership by investing more in research and innovation in order to develop new materials and to train specialists for a competitive but promising market contributing to this challenge is the main aim of this project structured functional glasses for lasing sensing and health applications functiglass a unique interdisciplinary doubledegree research and training program it aims at impacting advanced hightech materials for three sectors light sources sensors and bioapplications functiglass program will fully train 11 doctoral candidates dcs who will participate in a joint research training program built on very strong academiaindustry cooperation it guarantees the exposure of researchers to 11 academic universities and research institutes and 9 nonacademic environments industry and smes representing 9 different countries each dc will be supervised by two academic tutors and one mentor industrial partner to guarantee intersectorial knowledge sharing and acquisition of transferable skills with emphasis on entrepreneurship and innovation with the multidimensional training of functiglass program the 11 dcs will excel in the future economy by acquiring a multifaceted perspective and a growing mindset to become the future leaders in glass science and especially in nanomicrostructured glassbased materials with this program the dcs will find their own future innovative path in academia or industry this program will create the grounds for establishing longterm relations between the academic and private sectors for technology and compete
computational methods to analyse intraoperative adverse events in surgery at scale

the operating room is the most frequent location for hospitalrelated errors however intraoperative adverse events iaes are underreported which impedes their largescale analysis the definition of appropriate safety measures and the development of intraoperative support systems to reduce their occurrence recent manual videobased assessments of surgical procedures have shown that not only are iaes frequent but also that near miss intraoperative events previously thought to be inconsequential are in fact predictors of major errors and correlate with complications and poor surgical outcomeswe leverage these recent findings to propose a radically new computational approach to improve intraoperative surgical safety we propose to focus on automatically detecting and analyzing iaes in endoscopic videos via novel computer vision methods that model the detailed semantics of tooltissue interactions as needed to study the activity patterns leading to these critical events we will first generate a multicentric multiprocedure dataset annotated with tooltissue interaction semantics and iaes we will then develop a new fully differentiable neural network model of surgical videos relying on an intermediate graph representation to disentangle the surgical semantics finally we will introduce new training methods for scaling these approaches to different types of surgeries and centers using a limited set of annotationsthese computational methods will allow the automated reporting and analysis of iaes at a scale unfeasible with manual methods we will use them to analyze patterns of iaes and to identify the activities and phases of the surgical procedures that would benefit from new safety measures we will also design a prototype for intraoperative support we believe that this project will help to improve surgical safety and hence greatly benefit patient care
investigate maternal and paternal risk factors for violence during pregnancy lasting impact for everyone

globally one in three women are estimated to experience physical andor sexual intimate partner violence during their lifetime pregnancy is a lifechanging time when violence might subside occur for the first time or intensify abuse and its consequences can be severe for both mother and children and cascade into the next generationimprovelifes aim is to understand the risk and protective factors for violence during pregnancy its short and longterm effects and intergenerational impactthis project proposes the first theorization and empirical assessment of violence during pregnancy its intergenerational transmission and health and social effects using clinically tested biomarkers it will synthesize new and existing intergenerational cohort data from diverse settings bangladesh and the uk use pooled multicountry survey datasets and qualitative evidenceimprovelife will address five objectives 1 investigate the short and longterm social and health effects of violence during pregnancy on women and their children 2 explore if violence during pregnancy is a marker for severe violence 3 study maternal and paternal risk factors for the transmission of violence to their children 4 elicit male and female experiences and views of the causes of violence during pregnancy and 5 provide evidence on the global applicability of established pathways explaining violence during pregnancythe fundamental gains for the protection of women and prevention of violence emerging from this ambitious research programme are immense the high risks arising from following a cohort after two decades integrating clinically collected biomarkers and male voices are addressed by a dedicated and experienced pi and team and robust research approaches the new empirically tested ecological theoretical framework will be vital to inform policy prevention and response programmes addressing violence during pregnancy thereby improving lives
light based multisensing device for screening of pathogens and nutrients in bioreactors

the bioreactor industry is currently flourishing with a global market valued estimated at 23 b in 2020 and predicted to exceed 66 b euro by 2030 growing at a rate of 107 cagr despite this impressive growth there are challenges which can significantly impede the further advancement of bioreactors bioproducts can be sustainable and competitive only if reliable and contaminationfree production is ensured currently there is no catholic solution to this issue to this end libra project introduces a benchtop smart multisensing system for the inline automatable screening of cultivation processes in bioreactors the libra sensing technology lies in the use of light based integrated onchip real time sensors a novel integration procedure of the photonic platforms together with disposable microfluidic modules and biofunctionalization units will result in a modular system with interchangeable components enabling the screening of nutrients and pathogens in bioreactor samples according to the end users need furthermore the libra system will be able to be attached and integrated to various bioreactor systems regardless of their form factors spanning from stirred tank bioreactors to single use bioreactors sub to achieve this libra will rely on a highly multidisciplinary consortium comprising expertise and specialization in several fields spanning photonics surface functionalization microfluidics advanced packaging and assembly artificial intelligence and bioreactor manufacturers the exploitable results of libra are expected to disrupt the current picbased sensing landscape as estimated by the two business cases stemming from the project the market revenues one year after the end of this project are expected to be 78 million growing to almost 59 million in 2032 and plethora of new ip and new business opportunities for the partners involved in the joint venture of libra