Dragon09/odtu_chatbot huggingface dataset:
visiblelightactivated transmembrane transport by photosensitized isomerization of stiffstilbene based anion receptors

stimuliresponsive transmembrane anion transport proteins are essential for cellular life due to their implication in important biological functions supramolecular systems with analogous properties have been developed however most of them rely on the use of damaging uv light sensitrans is an ambitious and multidisciplinary project aimed at activation of anion transporters using visible light by means of a sensitization strategy the project focuses on the employment of photosensitizers able to trigger isomerization of stiffstilbene based receptors in the lipid bilayer allowing activation of passive transmembrane transport in addition insertion of the photosensitizer in a vectorial manner into the lipid bilayer will be explored towards lightdriven active transport the project will result in i the development of a new strategy to control transmembrane transport with transformative impact in the field of molecular photoswitches and anion receptor chemistry ii preparation and growth of the fellow towards a fully independent academic career the new scientific research skills complementary soft skills and scientific connections she will acquire will provide her with the necessary competencies to access an academic position at an european institution and iii benefit from her multidisciplinary scientific background and her scientific network by the hosting group
attosecond photochemistry controlling chemical reactions with electrons

attop is a theoretical chemistry project that will explore the synergy between the two fields of attoscience and photochemistry chemical processes initiated by light are extremely widespread and their applications cover vital molecular research fields from medicine to computer science and energy conversion however photochemical reactions are limited by the nature and finite number of molecular electronic excited states to overcome this fundamental limitation attop proposes to bring very recent technological progress in extreme ultrashort light pulses attosecond science to the field of photochemistry and to launch the unprecedented field of attophotochemistry indeed light pulses of such short duration have a large spectral bandwidth and excite multiple electronic excited states in a simultaneous and coherent manner this superposition called an electronic wavepacket has a new electronic distribution and is thus expected to lead to a new reactivity the following questions remain for now unresolved what would be the reactivity of a molecule in these new types of electronic states that are becoming accessible experimentally to what extent will the manipulation of an electronic wavepacket produced by an attosecond domain pulse transform the outcome of chemical reactions as an emerging field attophotochemistry requires theoretical support right from the start thanks to the pis unique combination of expertise in both theoretical attoscience and photochemistry the attop team will describe accurately chemical reactions induced by electronic wavepackets via attosecond domain pulses the final aim of attop is to develop a general knowhow to design molecular systems electronic wavepackets and attosecond experiments that transform the outcome of photochemical reactions for diverse applications by doing so attophotochemistry will revolutionize photochemistry with direct impact onto many other domains of molecular science
applying novel singlecell multiomics to elucidate leukaemia cell plasticity in resistance to targeted therapy

novel targeted therapies are increasingly applied against a wide range of cancers although such agents can induce cures most patients suffer from relapsed disease acute myeloid leukaemia aml is a prime example of a deadly disease but we have a chance to dramatically improve outcomes if we can better understand resistance mechanisms against targeted agents that are transforming aml treatment such as the bcl2 inhibitor venetoclax aml is characterised by profound alterations in the epigenome that are correlated with poor survival i therefore hypothesise that targeted drug pressure induces epigenetic plasticity that allows cancer cells to sample alternate chromatin or transcriptional states a subset of which confer drug resistance a major challenge is to define how mutations of epigenetic regulators in aml affect therapy responses due to clonal heterogeneity to address this challenge i will use and further develop my recently published singlecell rapid capture hybridization sequencing scrachseq method to link the genotype of expressed genes to transcription and methylation profiles of thousands of single cells in this research proposal i aim to 1 develop a new method linking epigenetic landscape genotype and transcriptome at a singlecell level and define the impact of treatment on these interactions 2 analyse the genomewide impact of epigenetic therapies 3 define the association between drug sensitivity and epigenetic modifications regulating prosurvival genes to achieve my goals i will apply my novel singlecell multiomics to samples from aml patients treated with venetoclax alone or in combination with epigenetic therapies and apply stateoftheart technologies to established laboratory models our new approaches to fully understand the relationship between the genome epigenome and transcriptome will advance fundamental biology this has the potential to yield new therapeutic strategies to prevent and overcome resistance
flexbased inferring of terrestrial photosynthesis dynamics for quantifying european vegetation productivity

photosynthesis the biochemical process by which vegetation harvests sunlight to convert carbon dioxide and water into carbohydrates and o2 fuels all life on earth and drives the global carbon cycle although the majority of absorbed light is used for carbon assimilation a remaining part is lost as heat and dissipated as emissions of solarinduced chlorophyll fluorescence sif sif the radiant flux emitted between 650 and 800 nm is therefore the most direct measurable reporter of photosynthetic machinery in plants dedicated to retrieve the full sif signal emitted across the globe esa has selected the fluorescence explorer flex mission concept as earth explorer 8 to be launched in 2024 flex will fly in tandem with copernicus sentinel3 s3 and will operate at ideal spectral spatial and temporal resolutions we are only at the dawn of uncovering the full sif potential from space as so far only a few single sif bands have been exploited the key challenge in the upcoming flex era will be to explore this unique new source of information and link it to photosynthetic activity this proposal named flexinel is determined to take leadership in exploiting and interpreting the forthcoming flex data stream targeting european vegetation productivity and carbon fluxes monitoring given state of the art in plant physiology leafcanopyatmosphere radiative transfer mechanisms machine learning and image processing flexinel seeks to advance the science in consolidating relationships between sif products and complementary s3 vegetation traits thereby uncovering the role of dynamic vegetative and atmospheric variables given a changing earth together with physicallybased modelling latest image processing concepts will be applied such as emulation and cloud computing flex and s3 products will be fed into assimilation systems for quantifying photosynthesis dynamics and into an operational biosphere model for improving europetoglobal carbon flux estimation
bayesian experimental design for in situ scanning transmission electron microscopy bedtem

the proposed project bayesian experimental design for in situ scanning transmission electron microscopy bedtem addresses challenges in conducting in situ stem experiments particularly in selecting optimal stimuli parameters while recent advancements in microelectromechanical systems mems have expanded stimulus options determining appropriate values remains elusive often relying on timeconsuming trial and error the project aims to introduce a software platform integrating bayesian experimental design with stem image analysis facilitating efficient parameter selection this platform comprises user interface image processing and experimental design modules offering streamlined workflow and enhanced usability leveraging expertise in machine learning and stem the project seeks to bridge the gap between complex experimental setups and practical application of bayesian methods the envisioned breakthrough lies in transforming offline iterative parameter determination into an online iterative process revolutionizing how in situ experiments are conducted and accelerating materials research and development the project also poses high risks particularly in adapting machine learning to stem data and ensuring market demand for the proposed software however mitigation strategies include iterative development collaboration with experts and continuous user feedback to align the solution with customer needs and commercial viability ultimately bedtem promises to reshape materials science by enabling precise characterization of material behaviors at the nanoscale under realworld conditions with potential applications spanning electronics aerospace and beyond
algorithmic bias control in deep learning

deep learning dl has reached unparalleled performance in many domains however this impressive performance typically comes at the cost of gathering large datasets and training massive models requiring extended time and prohibitive costs significant research efforts are being invested in improving dl training efficiency ie the amount of time data and resources required to train these models by changing the model eg architecture numerical precision or the training algorithm eg parallelization other modifications aim to address critical issues such as credibility and overconfidence which hinder the implementation of dl in the real world however such modifications often cause an unexplained degradation in the generalization performance of dl to unseen data recent findings suggest that this degradation is caused by changes to the hidden algorithmic bias of the training algorithm and model this bias selects a specific solution from all solutions which fit the data after years of trialanderror this bias in dl is often at a sweet spot which implicitly allows anns to learn well due to unknown key design choices but performance typically degrades when these choices change therefore understanding and controlling algorithmic bias is the key to unlocking the true potential of deep learningour goal is to develop a rigorous theory of algorithmic bias in dl and to apply it to alleviate critical practical bottlenecks that prevent such models from scaling up or implemented in realworld applicationsour approach has three objectives 1 identify the algorithmic biases affecting dl
open consortium for decentralized medical artificial intelligence

artifartificial intelligence ai will revolutionize healthcare as its diagnostic performance approaches that of clinical experts in particular in cancer screening ai helps patients to make betterinformed decisions and reduce medical error however this requires large datasets whose collection faces severe practical ethical and legal obstacles these obstacles can be overcome with swarm learning sl where partners jointly train ai models without sharing any data yet access to sl technology is seriously limited because no studies have implemented sl in a true multinational setup no practically usable implementation of sl is available researchers healthcare providers have no experience with setting up sl networks and policymakers are currently unaware of the broader implications of sl odelia will address solve these issues odelia will build the first opensource software framework for sl providing an assembly line for the streamlined development of ai solutions to serve as a blueprint for future slbased ai systems odelia partners collaborate as a swarm to develop the first clinically useful ai algorithm for the detection of breast cancer in magnetic resonance imaging mri the size of odelias distributed database will exceed all previous studies and odelias ai models will reach expertlevel performance for breast cancer screening thereby odelia will not only deliver a useful medical application but prove the clinical benefit of sl in terms of accelerated development increased performance and robust generalizability to ultimately save thousands of lives of european patients odelias success will push partners to serve as nuclei for the exponential growth of the sl network and extend sl to a multitude of medical applications thus patients healthcare providers and citizens in europe will be provided with a digital infrastructure that enables development of expertlevel ai tools on big data without compromising data safety and data privacy
regional mobility infrastructures

remobilise will be the first interdisciplinary study examining the relationship between mobility infrastructures and free movement in west africa in bridging legal studies citizenship studies and infrastructure studies it aims to unpack how mobility infrastructures impact free movement in west africa and with what consequences free movement is recognised as a key driver for economic development poverty reduction and livelihood strategies the economic community of west african states ecowas was among the first organisations to introduce a regional free movement regime in 1979 yet immense disparities continue to exist in terms of who can access this seemingly equal right in practice although studies have indicated that legal technological and physical impediments may result in variegated access to free movement there remains a lack of knowledge on the impact mobility infrastructures have on free movement the project seeks to address this knowledge gap through the study of three complementary work packages focusing on the research questions on manifestations patterns and consequences of mobility infrastructures it will use a mixed method approach innovatively combining ethnographic approaches with legal research and largescale data analysis the project contributes to key debates in legal studies citizenship studies and infrastructure studies specifically by improving the emerging scholarship on mobility infrastructures the findings have direct impact on the lives of over 400 million people living in the region on the work of ecowas policymakers and on external partners such as the un and the eu
quantum simulator with hot atomic vapors

in the context of the ongoing development of novel quantum technologies includingquantum sensors quantum communication quantum simulators and quantum computingsome devices are mature without resorting to the powerful but fragile entanglement between qubitsexploiting the wave nature of devices photons often play an important role in order to enlarge thepotential of photonic devices controlled atomphoton interactions will be pushed to new limits in orderto build analog and digital wave simulators in the present projectthese interactions are mediated via photonatom coupling using room temperature cells of atomic vapours
circular ecological essential critical raw materials

rotates ambition is to tap the full potential of minerals extraction and processing in a sustainable and ecological way developing the needed technologies and tools for achieving zero emissions and pollution for essential and critical raw materials obtention and ensuring a circular approach by implementing mechanisms for waste valorisation in the context of industrial symbiosis especially reusing waste as aggregates for the construction sector and also recovering secondary productsrotates general objective is to achieve a near zero emissions and pollution obtention of raw materials providing new tools for the mining industry in its journey to a more sustainable and green mineral extraction the solutions proposed in the project will allow to improve the cutoff grade while reducing the environmental footprint of the whole process the pilot demonstrations in mineral deposits with different paragenetic minerals occurring together in a rock formed by the same genetic process during the same stage profiles will ensure the replication of the technologies to a wide variety of mining sitesto ensure eus lead on critical raw materials access the project is structured in three main interconnected pillars providing technical solutions and three transversal floors covering cross cutting issues including clustering and social acceptance a series of technical project results of pillars prp and project results of floors prf will be delivered within the rotates frameworkrotates will deliver specific methods andor technologies aiming to overcome the reluctance of social agents to the exploitation of crm deposits thanks to the environmental impact reduction achieved this will result in an increase of the crm sites that could be exploited in a future boosting the access of eu to strategic crm and enabling the development of the renewables emobility and defence space sectors
integrated urban food policies developing sustainability cobenefits spatial linkages social inclusion and sectoral connections to transform food systems in cityregions

europes urban areas face significant challenges to ensure the availability and consumption of healthy affordable safe and sustainably produced food such challenges converge within local food environments but are often neglected by public planners promising initiatives taken by municipalities to change the architecture of food choice often fail to become embedded in the wider policy context and to reach deprived and vulnerable groups key factors responsible for this are 1 siloed ways of working and 2 fragmentation of knowledge on facilitators and barriers related to food system transformation these factors hinder the development and implementation of integrated urban food policiesfoodclic will create strong sciencepolicypractice interfaces across eight european cityregions 45 towns and cities the backbone of such interfaces will be provided by food policy networks which will manage realworld experimental living labs to build a policyrelevant evidencebase through learninginaction activities will be informed by an innovative conceptual framework the clic which emphasizes four desired outcomes of food system integration sustainability cobenefits spatial linkages social inclusion and sectoral connectivities capacitybuilding and direct support for intensive multistakeholder engagement including deprived and vulnerable groups will enable policy actors and urban planners across partner cityregions to develop continuously evolving integrated urban food policies and render planning frameworks foodsensitive results will be communicated and disseminated amongst others by extending the novel policy practices to another eight cityregions in europe and africa an online knowledgehub a highlevel think tank and partners networksin these ways foodclic aims to contribute to urban food environments that make healthy and sustainable food available affordable and attractive to all citizens including deprived and vulnerable groups
crossplatform open security stack for connected devices

iot developers face a very fragmented landscape made of very different devices from bare metal devices with few kb of ram and limited or no security protection to devices equipped with powerful support for ai and with builtin hardware hw to implement root of trust rot and trusted execution environments tee such different devices coexist and it is an open challenge to guarantee an acceptable level of security across the whole system to avoid easy entry points for attackers the complexity is further exacerbated by the existence of many hw platforms general purpose but also domain specific each implementing proprietary instances of rot and tee that prevent or make it very difficult for applications and security services to interoperate crosscon aims at addressing all these issues by designing a new open flexible highly portable and vendor independent iot security stack that can run across a variety of different edge devices and multiple hw platforms to offer a consistent security baseline across an entire iot system a highlevel assurance is guaranteed by the formal verification of the stack specifications crosscon stack offers a unified set of trusted apis to the layers above it is modular and among all the security features it offers is possible to configure only the ones needed depending on the underlined hw and firmware it leverages the security features already implemented in the layers below in case such security features are missing like in bare metal devices the stack offers an entire tee implementation suitable for such devices as devices are getting more powerful and use cases more complex there is the need to add new trusted services as building blocks to implement security at the higher levels such as protection of the models given in input to ml engines embedded in hw or support for biometrics and template protections crosscon provides the open specifications of the stack along with an opensource reference implementation
earth laughs in flowers research training in horticultural precision breeding addressing flower colour as established model

the colornamental team comprises a promising experienced researcher er in the field of horticulture and molecular breeding and her future supervising team ie an academic beneficiary in austria an associated partner from the commercial horticultural industry in germany and an academic associated partner in germany hosting a 6 month secondment together they have defined an innovative and challenging research project that offers a wellbalanced mixture of research at the interface of fundamental and applied research addressing promising opportunities in the nonacademic sector and scientific hotspots in plant research simultaneously an innovative breeding approach will exploit flower colour as an established model to implement for the first time the use of mad7 nucleases in ornamental breeding and protoplast transformation to modify the bract colour of poinsettia the genome editing approach addresses the substrate specificity of dihydrolflavonol 4reductase dfr and will promote the accumulation of orange pelargonidin based pigments flavonoids including the colourful anthocyanins are the most important secondary metabolites contributing a broad range of physiological functions in plants and humans the latter when consumed as plant derived food this makes them an attractive topic for industry and academia across many research fields the pathway has always served as an important model to establish fundamental scientific knowledge of enzymes gene regulation in plants and a variety of evolutionary processes this will allow the er to augment her expertise with knowledge that is seen as the future of food security while herself imparting a new perspective to her hosts a tailormade training plan composed of scientific key transferable skills elements for public and private sector employment research management presentation and language skills was designed to empower the er to move up the career ladder