Dragon09/odtu_chatbot huggingface dataset:
deformable phase plates for adaptive optics applied to ophthalmology and microscopy

adaptive optics ao technology is pivotal in modern optics addressing the critical need for advanced imaging capabilities beyond the limitations of traditional fixed lenses traditional methods are inadequate for todays complex imaging requirements particularly in medical diagnostics where precise adaptable imaging is crucial for early disease detection and treatment phaseforms innovative deformable phase plates dpps cater to this essential need offering dynamic highresolution imaging solutions that adapt in realtime to changes in the subject or environment significantly enhancing diagnostic accuracy and potential treatment outcomesphaseform a university of freiburg spinoff has transitioned from prototype to advanced product development securing a strong ip portfolio the technologys broad applicability promises substantial market penetration in optical microscopy and ophthalmic diagnostics sectors poised for growth validation by key industry players forecasts a lucrative revenue stream enhancing phaseforms market positionthe companys strategic progress is bolstered by the eic accelerator project aiming for commercial scalability and market readiness this includes performance enhancements cost reduction strategies and market engagement plans eic funding is crucial enabling phaseform to navigate the niche market landscape effectively avoiding restrictive partnerships that could limit broader market accessphaseforms dpp technology is set to transform optical imaging offering significant benefits across healthcare research and manufacturing cementing its status as a leader in highresolution imaging innovations
improved sciencebased maritime spatial planning to safeguard and restore biodiversity in a coherent european mpa network

with an overall aim to support the coherent implementation of the eu european union biodiversity strategy eubs 2030 the convention on biological diversity cbd post2020 framework as well as the eu green deal msp4bio develops and demonstrates the ways in which knowledgebased msp becomes a vehicle and a tool for the protection and recovery of ecosystems specifically msp4bio will develop an integrated flexible socioecological management to cope with a rapidly changing environment for coastal offshore and deepsea ecosystems and validate its concrete applicability in 6 test sites in 5 european sea basins the management relies on improved systemic biodiversity prioritization criteria for mpas and ebsas based on the best available scientific knowledge on biodiversity attributes and linking spatial ecological features including migratory ones with socioeconomic considerations msp4bio uses a participatory approach to codevelop ecosystem services tradeoff scenarios to prioritize the areas and assess the suitability of spatial and strategic management measures from the ecological and socioeconomic perspectives the approach integrates the criteria and objectives of relevant maritime and biodiversity policies as well as the eubs 2030 to ensure coherent policy implementation as such the project will develop and improve approaches methods and tools to feed scientific knowledge making it of direct use to planners and mpa managers while producing sitespecific results informing sitespecific and broader policy processes and decisions the project builds on and integrate existing knowledge and results from multiple origins and ensures effective collaboration with relevant projects and initiatives to fill present gaps on marine biodiversity speeding up the scientific brake while paving pave the way for effective biodiversity management
a computational approach to studying how narratives can promote and support the reception of atypicality

among the lessons learned from the recent pandemic is the importance of embracing the unconventional indeed atypical approaches have proved to be a key strategic resource for coping with unpredictable events promoting sociocultural transformation and expanding the capacity to deliver valued goods and services however although a departure from what is a standard positioning within sociocultural domains may open up pathways to exceptional impact existing research shows that atypical ideas products or actors generate mistrust and encourage rejection as they are subject to skepticism and face a higher risk of being considered ambiguous or illegitimate this projects aim is to study how narratives can support the reception of atypicality and stimulate its diffusion narratives are powerful means of sustaining the alignment between actions and established conventions especially in the face of situations that depart from expectations or definitions of what is considered contextually normal narratyves narratives for atypicality aims to 1 develop an understanding of the role of narratives content and structure in promoting and supporting the evaluation of atypicality and 2 introduce an innovative computational approach based on cuttingedge natural language processing nlp techniques to model two fundamental dimensions of narratives namely their contextual embeddedness and their sequential unfolding based on cuttingedge natural language processing nlp techniques to map narrativity ie the set of narrative elements that characterize the complex nature of narratives through this handson 2year research project the researchers knowledge and skill will be enhanced enormously and he shall be en route to becoming an expert in this field
digital and innovative mine of the future

although raw materials are of strategic importance for the european economy in key exponentially growing value chains such as the energy transition where europe should strengthen its resilience independence and competitiveness european mining operators fail to meet the demand as they suffer from low productivity poor waste management resourceintensity and the consequent environmental impacts to meet the everincreasing demand and negative market prospects while mitigating the environmental and societal impacts the mining industry needs a drastic transformation in this context dinamine aims to demonstrate a holistic mine management approach based on i artificial intelligencebased data analytics tools for realtime minetoport monitoring of the risks performance environmental footprint maintenance needs product quality and recovery rates ii machine automation and robotization strategies to enhance safety and productivity iii onsite studies to identify best practices for carbon neutral logisticstransportation more energyefficient processing and wastetailings handling and valorisation our goal is to propose tools that enable a smarter more efficient more selective safer and more sustainable mining industry with a specific focus on european smes technologies developed will be upscaled and tested and studies performed in 2 smallmedium scale european mining operations one openpit feldspar mine portugal and one underground graphite mine norway and their associated processing plants the project is brought forward by a highlevel industryled multidisciplinary consortium of 11 partners from 6 european countries including 3 research institutes and 6 industries including 4 smes via increased selectivity and productivity dinamine will bring several impacts for eu and global mines helping them to improve their irr and ultimately contribute to an increase in eu raw materials security of supply
models of the maternal and fetal cardiovascular systems coupling via uterus and placenta

complications occur in 510 of pregnancies resulting every year in 26 million stillbirths and 303000 maternal deaths there is established evidence that complications and stillbirth are associated with abnormal developmentadaptation of the cardiovascular system cvs during pregnancy however the literature lacks a holistic approach and only a few limited aspects have been investigated therefore measure aims at pursuing a holistic investigation of the cvs and the coupling between its subsystems fetal and maternal cvs mediated by the uterus and placenta synchronized doppler and electrophysiological acquisitions will be performed to produce a unique dataset for the identification of a mathematical model describing the cvs this will be achieved through robust and accurate extraction of time series representing the characteristics of the cvs in healthy pregnancies through an innovative aggregating strategy proposed to improve clinical reliability the obtained model will be translated into a coupling map ie a graphical representation of the relationships between the cvs subsystems and their variables being more intuitive and easier to interpret this representation is particularly suitable for its clinical use and uptake finally the comparison between the coupling maps of healthy and complicated pregnancies will allow identifying anomalies in the interactions between the cvs subsystems and designingtraining a machine learning classifier to automatically discern between them the outcomes of measure will improve our understanding of the physiological mechanisms underlying pregnancy and original causes of complications paving the way for the development of novel powerful diagnostic tools for timely diagnosis and possibly prediction of pregnancy complications the support of academic industrial and clinical partners will provide all the instruments to achieve the envisioned scientific breakthroughs and favour their clinical translation
energyefficient highly accurate data prefetching

data prefetchers are ubiquitous in current highperformance computers such as those manufactured by intel arm amd or ibm as they play a fundamental role in hiding longlatency memory accesses prefetchers predict the data that will be needed by a processor in the future and fetch such data ahead of execution stateoftheart data prefetchers push the limits of performance but often without caring about energy efficiency the energy efficiency of a prefetcher is dictated by its accuracy which measures the percentage of data moved by the prefetcher that satisfies the processor demandsberti is a data prefetcher sited at the firstlevel data cache l1d that makes a compelling case for timeliness and accuracy berti can boost processors performance by 33 with respect to those not using prefetching mechanisms and 85 when compared to mainstream prefetchers while providing an accuracy above 90 which translates into a low energy overhead of the memory hierarchy in addition berti is a costeffective prefetcher that just requires 255kb of storagethe objective of this project is to elaborate a hardware design for the berti data prefetcher as we strongly believe that the notable boost in processor performance and efficiency along with its design simplicity makes berti a serious candidate both for the emerging lowpower edge market and for highperformance computers
gender discourses in archaeology conceptual models stereotypes and asymmetries in the spanish iron age 1st millennium bce

this project focuses on the gender roles in the iron age societies of spain a tradition that epitomises the challenges in gender equality on a global basis the iron age has been a crucial period that has influenced the construction of national identities across europe prioritising activities assumed carried out by men war metalwork cattle raising relegating women and alternative gender identities to a secondary stance this emphasis on maledominated interpretations have taken womens agency away and led us to understand that history happens to women while men make it happen this project addresses therefore an urgent key issue of the contemporary world gender equalitythis research will incorporate traditional archaeological analysis of sources and material culture with cuttingedge digital humanities techniques combining corpus linguistics and geographical information sciences the first part of the research will assess the criteria behind the interpretations of gender examine how archaeologists have reached these conclusions and evaluate the strength of their argumentation a second stage will produce genderdisaggregated data and a novel narrative for the iron age that will potentially transform how the discipline understands the role of gender in the past in this way this project will produce a transferable methodology capable of unveiling and visualising the conceptual models that underpin the main argumentative pillars to construct genderrelated discourses interpretations and stereotypes at the same time this research will bring hidden and overlooked data about gender to the forefront break current harmful gender stereotypes and bridge the gender data gap finally to ensure that the paradigm shift goes beyond academia this research has an ambitious dissemination programme for nonacademic audiences therefore this fielddefining project will make a broad impact on archaeology and beyond
stationary random subgroups

the notion of invariant random subgroups irs has proven extremely useful during the last decade particularly to the study of asymptotic invariants of lattices however the scope of problems that one can investigate when restricting to invariant measures on the space of subgroups is limited it was recently realised that the notion of stationary random subgroups srs which is much more general is still extremely powerful and opens up new paths to attacking problems that previously seemed to be out of our reachnotably the notion of stationary random subgroups has turned out to be a wonderful new tool in the analysis of discrete subgroups of infinite covolume and in particular thin subgroups of arithmetic groups a few months ago m fraczyk and i proved using srs the following conjecture of margulis let g be a higher rank simple lie group and g a discrete subgroup then the orbifold gk has finite volume if and only if it has bounded injectivity radius this is a farreaching generalisation of the celebrated normal subgroup theorem of margulis and while it is new even for subgroups of lattices it is completely generalone of the main problems we wish to solve is the variant of the schoenyau conjecture postulated by margulis namely that higher rank locally symmetric manifolds gk of infinite volume are not liouville a positive answer would have many applications in the theory of discrete subgroups of lie groups some exiting applications are possible using partial results
digital analytics and robotics for sustainable forestry

what if we could create a revolution in spatial data acquisition organization and analysis and give forestry operators and enterprises uptodate tangible information about the status of their forests down to the individual tree we believe this would improve their oversight by allowing more accurate growth modelling of forest stands and precise predictions of timber yields it would remove the uncertainty of when thinning operations are needed or where there are trees which are ready for harvest it could also enable operators to automatically plan where their staff or equipment should be deployed with capable semiautonomous harvesting operators eventually automating the full process it could also better quantify a forests carbon sequestration with low uncertainty pertree carbon estimates precise measures of crown volume and tree diameters would improve the granularity of carbon credit schemes this could inform national governments and policy makers when deciding policy on initiatives such as carbon offsets and carbon farmingin digiforest we propose to create such an ecosystem by developing a team of heterogeneous robots to collect and update this raw 3d spatial representations building large scale forest maps and feeding them to machine learning and spatial ai to semantically segment and label the trees and also the terrain our robot team will be diverse we will use both rugged field robots as well as more experimental vehicles most ambitious of all is the intention to semiautomate a lightweight harvester for sustainable selective loggingprogress in this project will be demonstrated with an ambitious series of field trials with the clear engagement of forestry and industrial companies commercial pathways are readily availablea 115 video summarizing the overall project ambitions and consortium can be viewed herehttpstinyurlcomdigiforest
realtime imaging and mechanistic analysis of tau fibril disaggregation in live cells

agedependent neurodegenerative diseases associated with protein aggregation represent one of the most important medical and socioeconomic challenges of our time with the extension of human life span the prevalence of this group of diseases has markedly increased among them alzheimers diseases ad and other dementias have become the second leading cause of death in highincome countries as a pathological hallmark tau amyloid aggregation in the brain has been determined to be closely related to the cognitive impairment in ad and related dementias despite major research efforts worldwide the mechanism of tau pathology and how its manifestation is prevented in healthy cells is not yet understoodthis project builds on recent findings in the host laboratory that the aaa atpase complex of vcp can mediate the disaggregation of tau fibrils in a cellular model consistently autosomal dominant vcp hypomorph mutations have been found to exacerbate tau pathology in patients i will use live cell fluorescence imaging and advanced singlemolecule tracking to investigate the mechanism of vcp and cooperating factors in tau disaggregation in real time stable reporter cell lines will be generated in which components of interest carry selflabeling affinity tags to introduce fluorescence signals for singlemolecule monitoring the planned research will provide new insights into the cellular pathways of fibril decomposition and may benefit the development of new therapeutic strategies for tauopathies the experimental approach to be established in this study can be applied to investigate disaggregation in other neurodegenerative disorders including huntingtons and parkinsons disease
efficient confluent edge networks

the ecoenet project will perform foundational research on emerging transmission technologies to form a new confluent edge network that brings together optical and radio transport to scale to new levels of efficiency and capacity for 6g by integrating confluent frontmidbackhaul xhaul with cellfree and distributed multipleinput multipleoutput based access networks the combination of photonic radio fixed wireless and free space optical transmission is used for fixed wireless connections enabling the creation of an edge mesh network new monitoring and sliceaware control protocols will unify the radio intelligent controllers with the transport software defined networking to efficiently deliver highcapacity flex grid wavelength multiplexed signals over standard single mode fibre and the fixed wireless links radio signals can be flexibly processed at different split phy points throughout the network or remain in analog radio over fibre format endtoend the unique ecoenet combination of wired and wireless transport is further exploited for wireless control of the wired network segments enhanced clock synchronization and optical space and wavelength switching groomed over flexe ethernet ai layer controls are added to orchestrate the federation of edge processing and splitting of ai models for optimum efficiency in executing user applications and smart network control functions the ecoenet project brings together an interdisciplinary team of industry and academic partners to explore the full potential of these important emerging technologies to support the capacity ultrahigh energy efficiency low latency and robustness needed in 6g networks
intraplate earthquakes the signature of the static fatigue of continents

while most earthquakes occur near plate boundaries where the relative motion of tectonic plates is accommodated by slip on active faults rare and unexpected but destructive earthquakes also occur in stable continental regions in scrs although we do not know why earthquakes occur everywhere they cluster are of all magnitudes and are modulated by surface loads however no tectonic secular strain can be detected and we do not know the origin of the elastic stress fueling these seismic events current hypothesis suggests that scrs are stable reservoirs of elastic stress in which earthquakes can tap to break the crust however although tremendous work has been conducted to seismically characterize these regions existing catalogs are not dense enough to explore potential physical mechanisms i propose to test the following hypothesis these rare albeit potentially destructive earthquakes are the result of the static fatigue of continents under stress left by previous phases of deformation in the geological history of a region i will leverage the latest developments in artificial intelligence to grow the densest and largest global catalog of earthquakes in scrs from seismological and insar data wp1 i will develop a tool to predict realistic time series of surface loads affecting the crust wp2 i will implement static fatigue in the form of brittle creep in a numerical model wp3 to test whether continents are effectively failing today under paleostress left by fossil plate boundaries perturbed by todays modulations of crustal stress comparing model outcomes with data collected in wp1 this interdisciplinary project combining seismology geodesy machine learning and numerical modeling will allow to 1 grow a physical understanding of the seismogenic behavior of scrs 2 tune estimates of seismogenic potential and eventually hazard for any given scr 3 test whether a changing climate will affect the seismogenic potential of scrs in the future
rain and cloud organization in the trades using observations and models

our climate fundamentally depends on the abundance and behaviour of its smallest clouds shallow trade cumulus clouds their response to climate change is a major uncertainty in climate projections with the most pressing but least understood question being what is the role of mesoscale convective organization in trade cumulus feedbacks rain affects convective organization through its reevaporation which triggers downdrafts and cold pools cold pools can create large cloud holes surrounded by cloud arcs but how the size and lifetime of cold pools link to the initial rain evaporation and downdrafts and how they influence cloud cover and thus the radiative budget is unclear critical reasons for these knowledge gaps are a lack of rain process observations and the fascinating range of scales involvedroto is driven by the opportunity for groundbreaking advances in observing simulating and understanding organized precipitating shallow convection to elucidate the role of rain and cold pools for climate my goal is to answer three questions i what is the impact of evaporation downdrafts and cold pools on the tradewind layer equilibrium state ii under what conditions do cold pools organize or disorganize shallow convection iii do cold pools increase or decrease total cloud cover in the trades to answer these questions i will create a unique multiyear dataset of rain evaporation downdrafts and cold pools by applying new remote sensing retrieval techniques to existing trade cumulus observations combined with cuttingedge numerical simulations using superdroplet microphysics the project promises to fundamentally improve our understanding of how organized shallow clouds may change with warming and the implications this has for the hydrological cycle roto is a unique opportunity for me to focus my broad expertise in observing and modeling clouds to answer three critical questions of tropical meteorology and climate science