Dragon09/odtu_chatbot huggingface dataset:
sustainable plasmonic membranes for water remediation

plasmon chemistry is an emerging field in which light energy is converted into chemical energy or heat in metal nanoparticles nps previously we have investigated the degradation of small organic molecules such as brominated nucleobases and halogenated thiophenols through excitation of nps by visible or even nearinfrared light these results inspired us to apply plasmonic nanomaterials to decompose organic micropollutants such as pharmaceuticals in waste water many pharmaceuticals are categorized as water pollutants of emerging concern due to their harmful effect even in trace quantities as they may cause damage in different living organisms present in and around aquatic systems many studies have noticed that such micropollutants show a ubiquitous environmental presence owing to their high water solubility and due to inefficient wastewater treatment to avoid severe environmental human health and biodiversity problems novel solutions for water remediation need to be developed within the susplasmem project a sustainable plasmonic membrane based on nanocellulose and plasmonic nanoparticles will be used for an efficient degradation of micropollutants by visible light the degradation by visible light is very costeffective and allows for the use of sunlight the material is easy to be scaled up and the scope of molecules to be decomposed will be studied by considering representatives of antibiotics other smallmolecule pharmaceutics and polyfluorinated alkyl substances the susplasmem project will focus on validating the effectiveness of the generated membranes with respect to micropollutant removal from wastewater samples strategies will be developed to enable water remediation in flow and a demonstrator model will be constructed finally we will work in close collaboration with industry partners to establish the implementation of the technology within an industrially relevant environment
toroidal propellers for efficient and sustainable aviation

the torpropel aims to advance aircraft propulsion technology by developing and upscaling propellers of toroidal geometry which are distinguished for their thrust efficiency and noise reduction utilising advanced carbon composites and stateoftheart robotic manufacturing processes this technology has the potential to significantly improve the performance of propellerdriven aircraft a distinct category of aviation platforms ranging from smaller piston driven or electric aircraft to vertical takeoff and landing aircraft vtols unmanned aerial vehicles uavs and even aircraft based on novel designs concepts such as those featuring distributed propulsion systems torpropel sees the development of advanced aerospacegrade carbon composites alongside the implementation of innovative robotic manufacturing solutions to ensure the achievement of critical performance objectives and a lightweight profile while also prioritising the propellers recyclability and repairability moreover the project incorporates sophisticated condition monitoring systems directly into the propeller structure essential for the realtime assessment of propeller structural health thus ensuring safety and considerably reducing the time and costs associated with maintenance overall the torpropel technology is expected to offer significant improvements in propeller performance durability weight sustainability and recyclability the proposed technology is thus expected to have a significant contribution to the scientific field of aircraft propulsion technologies improving upon the operational effectiveness and environmental sustainability of aviation and also by paving the way for a new era of shortdistance air travel that is both quieter and environmentally friendly
neurowelfare in cash transfers measures cts do welfare cash transfers show different brain activity and improve equality

neurowelfare in cash transfers measures cts do welfare cash transfers show different brain activity and improve equality nw aims to pave the way for the interdisciplinary study of the brain functioning and the sociocognitive impact on self and social perception in the experience of the two main paradigmatic cash transfer schemes conditioned cts ccts and unconditioned cts ucts nws idea is born from my phd effort in which i studied a basic income pilot project observing a mindset shift in the redistributive beliefs and attitudes of community financiers showing me the need for a neurophysiological understanding of cts phenomena nws achievability has been improved from the previous projects application in its methodological operationalization better defining the outcomes measurability and scalability to isolate effects of cts on the brain the assessment of social protection measures is usually done by looking at the behaviors of the welfare recipients in addition social neuroscience efforts are frequently focused on mental manifestations observed in the laboratory environments what if the modern techniques to investigate brain activity would be applied to healthy individuals perceiving income support in their social environment by utilizing an interdisciplinary and multidimensional approach i pursue to combine the knowledge and the methodology of human sciences with those of social neurosciences to detect and measure the effect of cts on brain from three empirical intertwined perspectives 1 neurophysiological 2 cognitive and 3 interactional ill train my interdisciplinary skills thanks to experienced supervisors in vilnius university university of oregon and isctelisboa nw tackles the complexity of redistribution social phenomena advancing my career progress in the brandnew field of neurosociology
wila1991 womens intellectual and artistic labor 19191991

wila1991 main aim is to to bridge the gap between intellectual history and labor history and through this methodological innovation not only highlight the disparity between intellectual labor and intellectual achievements but also challenge historiographys perception of the latter while intellectual history predominantly focuses on artistic and intellectual achievements it often fails to question the underlying conditions that made such achievements possible consequently many marginalized groups have been excluded from the canon as they did not have the necessary working conditions to consistently produce intellectual or artistic labor the wila1991 project focuses specifically on womens intellectual labor from 1919 to 1991 utilizing yugoslavia as a transnational laboratory space to observe the dynamics of intellectual and artistic labor across different time periods generations social classes nationalities and ethnicities the projects outcomes will contribute to establishing new norms for reevaluating artistic and intellectual achievements ultimately broadening and decolonizing the canon the project examines work conditions considering the power structures associated with intellectual authorities social prejudices intimate beliefs and invisible social agreements at various times to achieve this it explores the intersection of intellectual labor and gender history by drawing on a diverse range of sources in different languages slovene croatian serbian german and amplifying the voices of women from ethnic and sexual minorities this project will investigate working conditions attitudes towards work legislative changes family dynamics public reception financial compensation and care work in order to understand the division between intellectual work as labor and being an intellectual as a status
characterizing and harnessing tumorreactive t cells in the brain

personalized tumor immunotherapy vaccines and t cell therapies requires the selection of few immunogenic epitopes recognized by tumorreactive t cell receptors tcrs from thousands of potential tumor antigens in each tumor this selection is a huge challenge particularly in brain tumors where access to tumor tissue is limited and tumorinfiltrating t cells tils are sparse centricbrain will reverse this epitopecentric approach by directly harnessing tumorreactive orphan tcrs from tils for personalized brain tumor immunotherapy using human brain tumor tissue we have developed and experimentally validated predictcr a novel approach using machine learning and explainable ai to derive a classifier that predicts tumorreactivity of such orphan tcrs based on the expression of signature genes with 90 accuracy across multiple tumour entities centricbrain will employ predictcr to develop a personalized adoptive cell therapy using transgenic t cells with tumorspecific tcrs and improved function centricbrain hypothesizes that the signature genes underlying predictcr determine the phenotypic and functional properties of tumorreactive t cells and that predicted tumorreactive orphan tcrs can be employed for adoptive therapy with personalized tcrtransgenic t cellsaim 1 will refine predictcr by characterizing the transcriptional programs and spatial distribution of tumorreactive t cells in human brain tumor samples aim 2 will define the functional relevance of transcriptional programs for tumorreactive t cells in syngeneic humanized and patientderived xenograft brain tumor models aim 3 will validate the predicted tumorreactive orphan tcrs by adoptive transfer of t cells genetically engineered to express predicted tumorreactive tcrs centricbrain will thus revolutionize precise and efficient implementation of personalized adoptive cell therapy for brain tumors using t cells expressing tumorreactive patientderived orphan tcrs
boosting research for a smart and carbon neutral built environment with digital twins

the overall objective of the project boosting research for a smart and carbon neutral built environment with digital twins smartwins is to build the capacities for the kaunas university of technology in lithuania through its sustainable energy in the built environment research group seberg within the faculty of civil engineering and architecture to conduct highquality research on the topic of next generation digital twins applied for allowing the transition to a smart sustainable resilient and carbon neutral built environment the concept of the smartwins project is to form a network between ktu and leading institutions in the field of energy and sustainability assessment of buildings with the use of industry 40 practices related research and innovation management for knowhow transfer and development of a longterm research collaboration ktu will twin with the politecnico di milano university polimi italy the centre for research and technology hellas certh greece a spinoff of the technical university of berlin contecht gmbh con germany and innotrope france aiming to develope its excellence and international reputation in the field to both cover fundamental research aspects as well as to further develop its skills practices and structures to conduct topnotch researchsmartwins includes activities in the field of research capacity building research management upgrade networking with the industry and the market as well as training smartwins consortium will also attempt to sustain the activities of the project by achieving further funding through succeeder projects in the fields of technology transfer innovation and research and postgraduate networks smartwins aspires to support the uptake and establishment of ktus seberg as a research hub of scientific excellence in the baltic region and beyond on the research topics of digitized assessment of sustainable buildings
understanding the physiological and pathological relevance of liquidliquid phase separation by synuclein family of proteins

proteins are among the most essential molecules of life in recent times it has been discovered that proteins can undergo liquidliquid phase separation llps to form highly efficient droplet reservoirs for its functionality however these concentrated protein droplets can also lead to pathological protein aggregation and toxic amyloid fibril formation one such example is synuclein syn which can undergo llpsmediated amyloid aggregation associated with parkinsons disease pd pathogenesis the physiological and pathological relevance of syn llps remains elusive in the context of many biological factors such as familial mutations presence of other synucleins protein modifications and lipid membrane interaction all of these factors significantly modulate the aggregation of monomeric syn in solution in this proposal i aim to elucidate and quantify the effects of these mentioned in vivo relevant factors on the phase separation of syn in a high throughput htp and quantitative manner while my work was the first to show that syn can undergo llps the host laboratory has developed a microfluidics based htp method perfectly suited for protein llps related research during the course of this project i will get trained on this particular technique along with several other sophisticated instruments the outcome of this project will significantly help to elucidate the molecular origins of pd and provide important insights with respect to the onset time and progression of pd pathology which is currently poorly understood the knowledge obtained from this study will have crucial impact on the european society and the results might also be of interest to the pharmaceutical industries to effectively design new drugs against the progression of pd pathology in the long run
the hardness of finding good algorithms

this is a project in computational complexity the project aims to answer the following question how hard is it to find a good algorithm for a given computational problemthis question can be asked in several different settings depending on what one means by algorithm what is the computational model computational problem is it a decision problem a search problem a communication problem and by good do we want an algorithm that uses little time little memory few logical gates this question has a deep connection with the problem of proving lowerbounds and in almost every setting where the question has been answered either the answer was discovered while attempting to prove lowerbounds or obtaining the answer required the development of new lowerbound methods it is also known that several variants of the above question are equivalent to fundamental open questions in cryptography pseudorandomness and learning theory the goal of this project is to answer this question in various settings where the answer is unknown in circuit complexity communication complexity data structures and algebraic models of computation for each of these settings we will either provide explicit methods for finding efficient algorithms or show that the problem of finding such efficient algorithms is nphard
flying companion for floating litter collection

plastic pollution is considered one of the most challenging environmental risks globally and rivers have been identified as a dominant pathway for the accumulation of plastic in the oceans the flyflic flying companion for floating litter collection project addresses this global challenge by deploying a firstofitskind robotic platform composed of multiple unmanned aerial robots to effectively collect litter from rivers and canals thus preventing such litter from reaching our oceans chiara gabellieri will carry out the flyflic project under the supervision of prof antonio franchi at the university of twente ut the netherlands the project contributes to european strategic priorities horizon europe mission on healthy oceans seas coastal and inland waters and global strategic priorities united nations sustainable development goals compared to stateoftheart solutions which are boatlike robots or fixed trapping mechanisms a flying platform can target desired spots can easily discharge the collected litter is low cost and is not hindered by nonnavigable spots such as dams and low bridges the general vision of the flyflic project will be accomplished through four specific objectives a novel prototype composed of two physically connected aerial robots and a net to be dragged in the water to collect the litter will be assembled the dynamic model of the complex manipulation aerial system embedding the waterrelated disturbances will be computed and a modelbased control law designed accordingly all the components for autonomous functioning will be integrated especially the control law and stateoftheart algorithms for object recognition and trajectory generation finally a user interface will be created to let a human monitor the task execution and possibly select actions and the cooperative humanrobot discharge of the litter will be made possible through the design of an advanced physical interaction control algorithm
exploration of unknown environments for digital twins

in the explorer project we will develop methods for automatically capturing and labelling video data in open worlds the ultimate goal is the great facilitation of the creation and maintenance of digital twins digital twins are virtual 3d copies of complex scenes such as cities factories or construction sites not just a 3d reconstruction they should capture the scenes semantics ie the identity of each object and the scenes dynamics ie how objects move because digital twins have the potential to be extremely useful for monitoring large complex sites and planning the development of these sites their forecast market is huge they remain mostly a concept because of important limitations of the current technology our methods will guide autonomous systems such as robotic platforms and uavs through complex and unknown environments to capture visual data for creating and maintaining digital twins this is extremely challenging as these systems will encounter objects without any prior knowledge about them and will have to collect sufficient data about them to the best of our knowledge this active and automatic capture in complex real environments is a new problem it is however very important to solve it as this will relax the need for human expertise and time currently capturing such data is done manually only by researchers and requires strong understanding of what the learning algorithms require to tackle the complexity of this problem our approach is inspired by techniques from artificial intelligence applied to the exploration of extremely large trees this approach will allow us to bring the perception part and the planning part of the problem together under the same optimization framework to formalize it and solve it efficiently to evaluate our developments we will create a dataset of annotated video sequences from working sites which we will share with the community
predicting the future how our brain predicts future events for successful navigation through our dynamic environment

to successfully navigate our dynamic environment our brain needs to continuously update its representation of external information this poses a fundamental problem how does the brain cope with a stream of dynamic input it takes time to transmit and process information along the hierarchy of the visual system our capacity to interact with dynamic stimuli in a timely manner eg catch a ball suggests that our brain generates predictions of unfolding dynamics while predictive processing theories assume an internal representation of future external states empirical research typically employs neural measures that capture an indirect consequence of prediction the representational nature of predictions remains largely unexplored one approach for investigating neural representations is representational similarity analysis rsa which typically uses models of static stimulus features at different hierarchical levels of complexity eg color shape category concept to investigate how these features are represented in the brain i have recently developed a novel dynamic extension to rsa that uses temporally variable models to capture neural representations of dynamic stimuli a proofofconcept meg study unveiled predictive neural representations of naturalistic dynamic input these promising initial results open the door for addressing important outstanding questions on how our brain represents and predicts the dynamics of the world in this project i aim to answer these questions i will execute the project at the prestigious donders institute in the lab of floris de lange a leading expert in the field of predictive processing the proposed project is unique as it tackles the rich dynamics of predictive processing in terms of neural representations it will allow me to conduct creative original and important research which will propel my scientific career and strengthen my competitiveness as a scientist
excelling deep tech through placebased innovation and connected ecosystems for womenled startups

epicx aims to accelerate and unlock excellence by connecting regional innovation ecosystems across the eu building on strategic areas of regional strength and specialisation and addressing the innovation divide and underrepresentation of talents within the european union the project enlists a diverse and strong multiactor interregional ecosystem network that resonates in a paneuropean alliance of interconnected ecosystems comprising 16 ecosystem builders hailing from the16 moderate and innovator countries the basis of this network is set to widely expand to all regions and engage quadruple helix players in collaborative efforts of cocreation coimplementation and coassessment of pioneering acceleration programme which encompasses a fstp scheme to support deep tech womenled startups embedded within this comprehensive programme are crossfertilisation activities and an innovative mobility scheme aimed at the selected startups ecosystem builders and members of the network will have dedicated opportunities for collaboration and knowledge exchange through tailored actions with a wealth of experience the consortium comprising 13 entities will spearhead efforts to develop and disseminate materials that underpin a comprehensive communication dissemination and exploitation strategy aimed at amplifying the impact of the epicx this includes the production of a white paper containing policy recommendations and an articlepaper to highlight key insights built around the three pillars of deep tech womenled startups and smart specialisation strategies the project activities and synergies fostered by a multilayer glocal approach will create a favourable environment for localplaced innovation and sustainable and inclusive growth
electrical modulation of elastic moduli

how could a textile change its feel upon the push of a button while we are accustomed to visual displays and loudspeakers interactive tactile perception largely eludes our experience textiles that change their pliability and texture would allow for communication using our sense of touch potential applications abound from humanmachine interfaces for robotics to new forms of virtual realityto facilitate such a tuneable mechanical response materials are needed whose stiffness can be altered this project will use conjugated polymers to realise stimuliresponsive materials the developed materials will be spun into fibres and yarns which will be integrated into prototype textile devices that can undergo a reversible change in pliability and texture the explored materials science concepts will open up a new line of research in the blossoming field of organic electronics while the applicationoriented part of the project opens new horizons for the interdisciplinary field of wearable electronics