Dragon09/odtu_chatbot huggingface dataset:
foundations of timedrelease cryptography

cryptography has repeatedly revolutionized modern technology via its easyorinfeasible design paradigm classifying computations as either easy or infeasible nowadays however this foundational paradigm is insufficient for a host of rapidly evolving applications and a finegrained accounting of sequential timing guarantees is urgently needed this has recently led to substantial interest in the classic yet insufficientlyexplored vision of timedrelease cryptography enabling cryptographic systems to rely on such guarantees realistically despite the significant attention the vision of timedrelease cryptography is still alarmingly far and the landscape of our current knowledge must rapidly change to facilitate its deployment timedrelease cryptography suffers from an extreme lack of candidate schemes and the security of its main candidates is provided directly by assumption with essentially no supporting evidence other than the lack of successful speedup attacksthis proposal aims to establish robust foundations for timedrelease cryptography by obtaining an indepth understanding of the computational landscape building blocks and schemes required for realizing its premise specifically i plan to direct our effort towards addressing the following three fundamental objectives which span a broad and interdisciplinary flavor of research directions 1 explore sources of computational hardness that enable to base timedrelease cryptography on the hardness of wellstudied problems 2 identify the extents to which timedrelease primitive building blocks require cryptographic structure and can be utilized in designing more complex schemes and 3 construct concrete such schemes offering a wide range of security and functionality guarantees i strongly believe that substantial progress towards our objectives will enable us to realize the premise of timedrelease cryptography and will have a longlasting impact on cryptography
tight junctions and tissue mechanics as sensors and executers of heart regeneration

one of the most fascinating aspects of salamander regeneration is the level of precision at which restoration of complex structures occurs how the recovery of form and function is sensed at a cellular level leading to appropriate termination of regenerative programs remains largely unknown this is partly due to technical challenges of studying cellular events at a highresolution during regeneration and establishing a constitutive link between cell behavior tissue architecture and function here i propose taking an interdisciplinary approach that combines gene editing deeptissue imaging force measurements and spatial omics to overcome these barriers my goal is to gain holistic understanding of regeneration by integrating molecular cellular mechanical and functional parameters specifically i aim to explore the role of tight junctions and mechanical cues in sensing and relaying macroscale information to adapt cellular events as the regeneration unfolds we will utilize the newt pleurodeles waltl and heart regeneration as an ideally suited regeneration context where i recently showed that the injury response by the epitheliallike covering called epicardium and the dedifferentiating cardiomyocytes are closely coordinated to replenish the lost muscle by combining long term intravital cell tracking mechanical characterization and ultrasound imaging with tight junction manipulations and mechanical perturbations we will 1 define cell dynamics and regenerative state transitions 2 test whether unique expansion in the tight junction protein claudin6 sequence that extends its nterminus is protective against overproliferation and 3 map the physical properties controlling the termination of regenerative programs our results will identify mechanisms underlying the tight control of regeneration and bring new insights into the function of claudins that are frequently dysregulated in cancer opening new venues in regenerative medicine and cancer research
decoding death and dying in people with dementia by digital thanotyping

how can we recognize that a person with dementia is at the end of life when we are dying our physical mental and social abilities are gradually declining no reliable method of predicting perceived dying currently exists although the technology is available sensors algorithms the aim of decoding death and dying in dementia by digital thanotyping 5d is to provide methods and tools to diagnose and describe dying to an unprecedented level of accuracy and robustness within a timespan larger than is possible now focusing on the case of dying people with dementia as one of the most vulnerable and difficult to study groups 5d combines clinical assessment tools with wearable sensing technology to monitor a pain and distressing symptoms b behavioral and psychological symptoms in dementia bpsd c oral changes and to decode the point of no return as the beginning of perceived dying to obtain this outcome in nursing home patients with dementia i will test the main hypothesis from monitoring the evolution of thanotype components over time and their interdependencies the prediction of the point of no return is possible the objectives of 5d areo1 collect data using sensors and validated assessment scales o2 develop estimation methods for bpsd from sensor measurements o3 develop digital tools to capture the expression of paino4 determine the relationship between breathing and oral symptoms o5 develop models for symptom interdependencies at the end of life and the point of no return o6 perform humanintheloop validation of developed tools models and algorithmsthe groundbreaking interdisciplinary novelty of 5d endeavors to enhance our understanding of endoflife underlying pain and symptoms in people with dementia advancing our theoretical knowledge to uncover how when and why perceived dying can be identified opens the doors for transferable research across several scientific fields
nextmol a virtual lab for safe and sustainable chemicals

our society and economy are profoundly influenced by chemicals chemicals have helped to raise our standard of living but new challenges steadily emerge and novel chemicals are demanded representing a key element of the commercial success of tomorrows industrial products and competitiveness of industry up to now chemicals have been designed and characterized mainly using experimental techniques however with todays increased competition the experimental trialanderror approach has become too slow and inefficient chemical companies need solutions that reduce the time and cost required to develop new chemicals bytelab solutions develops nextmol wwwnextmolcom a softwareasaservice platform for chemistry rd it provides molecular modelling and artificial intelligence tools to speed up the development of safe and sustainable chemicals nextmol shortens the path to chemical innovation accelerating the development by 10x over traditional approaches based exclusively on the laboratory our greatest challenge as a company is to shift from organic growth to scalable growth initial sales and grants have allowed us to grow organically develop our product to an earlyadopters beta release and gain the first customers however it is now the time to aim big and build a scalable company able to provide innovative reliable and secure deep tech solutions to many customers in the chemical industry this project will prepare us to raise private investment in q3 2022
focused ultrasound personalized therapy for the treatment of depression upside

major depressive disorder mdd is the leading cause of disability worldwide affecting 300 million people with a lifetime prevalence of 15 approximately one third of all mdd patients fail to respond to currently established treatments based on medication and psychotherapy thus falling into the category of treatmentresistant depression trd patients electroconvulsive therapy ect repetitive transcranial magnetic stimulation trms vagus nerve stimulation deep brain stimulation dbs and transcranial focused ultrasound tfus still show poor spatial resolution ect trms tfus or low network coverage vns dbs with average remission rates in clinical trials still lower than 30 apart from the existing stimulation hurdles reliable biomarkers for depression are needed as a diagnostic tool and in the case of nt to determine the stimulation efficacy and allow for personalized treatment the upside project proposes a minimally invasive high spatial resolution and multibrain region stimulation and recording system to largely exceed the capabilities of existing nt for depression our objective is to research and validate in vivo an hybrid neurotechnology consisting of an epidural focused ultrasound efus stimulator employing threedimensional beamforming and a highdensity epidural eeg recording system epidural deployment of these devices will be enabled by novel methods for massive integration and miniaturization of highperforming piezoelectric ultrasound materials and highfidelity organic bioelectronic materials with high energyefficient complementary metaloxide semiconductor cmos technology in a biocompatible manner the upside project will result in a demonstrator which will allow for the first time network stimulation and simultaneous biomarker readout in behavioral experiments with animal models featuring depressionlike symptoms this technological breakthrough will pave the way towards a personalized treatment for trd
urban economic segregation integrating explanatory mechanisms across geographical scales to compare remediatory policies in silico

the uneven concentration of people and economic resources in cities hampers the wellbeing and opportunities of poorer citizens and represents a threat to social cohesion it is considered a major policy challenge by researchers and international institutions alike my aim with the segue project is to identify and model the combination of economic geographical and demographical drivers of urban economic segregation in order to better understand its dynamics and to better assess possible remediatory policies the existing literature on urban segregation mainly explains urban economic segregation with sociological and intracity factors resource accessibility social networks contextual effects and the urban form but also acknowledges a link with the evolution of economic inequality the existing literature on economic inequality by contrast mainly focuses on factors operating at the national and individual levels selective migration assortative mating family inheritance education my project addresses this gap by spatialising the national and individual explanations of economic inequality relating to residential mobility or the tax and education system and by integrating these into a simulation model of urban segregation this model will be calibrated with a uniquely rich source of exhaustive and longitudinal individual data from the netherlands its analysis will produce new insights about the interaction between drivers of economic inequality and segregation in cities and will provide a costeffective tool to compare policies to reduce urban economic segregation at different scales of action local urban national ex ante ie within the virtual laboratory of a simulation instead of in situ with costly and risky experiments the results obtained from the research should also open new perspectives to study various forms of inequality and facilitate the study of economic segregation in other national contexts
bio methanol production via chemical looping gasification coupled with membrane reactors

besides being an important chemical commodity methanol is a multipurpose fuel that can be used directly in internal combustion engines blended with other fuels or for producing fuel additives which improve engine performance methanol has great potential to be one of the selected lowcarbon fuels for heavy road and transportation and marine freight technologies that are using methanol as fuel are gaining more momentum and attention globally however two key issues may challenge the further uptake of methanol in energy systems i methanol is today produced from fossil resources and ii methanol is used mainly by chemical industries leaving small room for the energy sector to count on it biomegafuel is proposing a novel route that converts low value biomass to methanol via an intensified process with a minimum carbon footprint comparable to conventional methods biomegafuel uses chemical looping gasification to produce clean syngas from biomass and membrane reactor technology to directly produce methanol from syngas a key feature of biomegafuel is the possibility to maximize the conversion of hydrogen and carbon via co2 recirculation from biomass waste to methanol with the minimum number of process steps the process is based on the conversion of biomass waste aimed at increasing the capacity of biomethanol production in a sustainable way and addressing the increasing demand for biomethanol as a fuel biomegafuel is underpinned by technologies that are being developed to trl 5 by an expert consortium besides it is backed by a strong reference group including the business leaders and market players in biomass supply whole methanol production value chain potential end users and potential future players in the production management and distribution of biomethanol this greatly ensures the quality of the research and appropriate exploitation of the results predicted in biomegafuel
highprecision computations on fine lattices

lattice quantum chromodynamics lqcd is the only known abinitio approach to compute observables in the nonperturbative regime of the strong interactions of particles and fields the theory of strong interactions is solved numerically in finite volumes on an euclidean spacetime grid the framework of lqcd has systematically improvable statistic and systematic uncertainties it provides highly relevant theoretical input for highenergy and nuclear physics the precision of lqcd computations has significantly improved in the last years thanks to algorithmic advancementsthis project aims to further improve the precision of phenomenologically important observables the improvement will be achieved by the development and application of noise reduction techniques to reduce statistical uncertainties at computationally challenging very fine resolutions of lqcd simulationsthe focus of this project will be on the improved determination of the hadronic vacuum polarization contribution to the anomalous magnetic moment of the muon precise theoretical predictions of this observable are of utmost importance in the search for physics beyond the standard model of particles as the uncertainties of the experimental results will significantly decrease in the upcoming years the computation of the hadronic vacuum polarization in the framework of lqcd suffers from an exponentially enhanced increase of the noisetosignal ratio in the low energy region furthermore the precision of stateoftheart determinations is bounded by systematic uncertainties due to the presence of the finite grid both uncertainties will be addressed and reduced in this workfurthermore the approach will be tested in the computation of bphysics observables that are needed to investigate currently observed anomalies in the heavy quark flavor sector of the standard model
agriculturalclimatic interactions on the control of stream dissolved organic matter trends

the rising trends in terrestrial dissolved organic matter dom concentrations in streams have become a serious environmental issue in many catchments of the northern hemisphere indeed dom impairs water quality and affects the biogeochemical and ecological functioning of aquatic ecosystems knowledge gaps in drivers controlling seasonal and interannual variations of stream dom limit our ability to provide measures that may be implemented by decision makers in order to mitigate the continuing trends in rural landscapes agricultural practices interact with climatic drivers to affect biogeochemical cycles however these interactions and their impacts on stream dom dynamics over different timescales have not been considered so far the ambition of costream is to provide a better understanding of the linkages between management actions and stream dom variability both spatially and temporally in order to enhance sciencebased management and restoration solutions the project will combine field and experimental studies in a wellequipped agricultural catchment with data mining of longterm records collected in the french brittany region the main objectives are 1 to investigate the impact of nitrogen mineral fertilizer on the production of terrestrial dom at the seasonal scale and 2 to determine how land use management plans during the last decades have interacted with shifts in climatic drivers to regulate stream dom patterns at the regional scale the costream project has potentially strong impacts on both scientific and societal perspectives thanks to this project the experienced researcher will receive a unique multidisciplinary scientific training by inrae that will reinforce significantly his expertise for future research activities and open new perspectives for both academic and nonacademic careers
tuning heat transport in 2d materials with defects

the unstoppable race towards miniaturization is pushing the limits of electronics this has to be conciliated with the inevitable joule heating that affects all electronic devices ultimately compromising miniaturization itself as denser circuits require improved thermal management understanding and eventually controlling heat transport at the nanometer scale will lay the foundation for the design of present and future electronics where the use of complex architectures and new nanomaterials such as twodimensional 2d materials holds a great potential at such scales atomicscale defects which are present everywhere in nature play a fundamental role as just a single defect can greatly impact the properties of materials however our knowledge of the influence of an individual defect on heat propagation is surprisingly scarce this is partly due to the limited spatial resolution of stateoftheart thermal imagingheat2defects aims to explore the fundamental properties of matter at a much smaller scale than is currently possible engineering the influence of defects namely vacancies ripples and unconventional stacking on heat transport of 2d devices to this end hinging on my extensive experience in scanning probe microscopy i will develop an imaging technique with pioneering advances based on atomic force microscopy afm raman spectroscopy and nanoheater engineering the versatility and resolution of afm plus the thermal capabilities of raman will allow thermal mapping with nm precision improving stateoftheart resolution by one order of magnitude this will enable a deep understanding of the influence of defects on heat transport and ultimately the engineering of the striking properties of 2d materials as thermal management components vital to avoid energy waste and device malfunction farreaching implications are expected both from the profound impact of heat transport in many scenarios and from the technological developments
satellites for wilderness inspection and forest threat tracking

forests are essential to life on earth they proforests are essential to life on earth they provide habitats for thousands of creatures and combat climate change through carbon sequestration however our forests are threatened by insect outbreaks fires windthrow and droughts notably insect outbreaks are one of the leading causes of forest loss globally destroying 85m ha of forest worth 15b annually at the same time wildfires destroy 400m ha annually on a global scale according to the european space agency the wind is also a significant forest disturbance agent in the temperate forests of france germany and most of europeclimate change affects forests causing insects to breed more frequently it also provides more dry fuel for global wildfires the dry conditions increase the length of the fire season and the size of areas affected by the fire in addition both the frequency and the severity of large storms causing windthrow can be attributed to climate change as a result countless habitats are lost and co2 sequestered yearly decreases by over 4850m tonsour solution swiftt will provide a scientifically sound and technically feasible way to help monitor and manage forest risks windthrow insect outbreaks and forest fires swiftt will enable forest managers to adapt to climate change with affordable simple and effective remote sensing tools backed up by powerful machine learning models our solution will offer a monthly health monitoring service using copernicus satellite imagery to detect and map the various risks to which forests and their managers are exposed early threat detection aids timely intervention swiftt will be tested in real conditions by several endusers from the forest industry which include fürstliches forstamt groupe coopration forestire and the rigas mezia we anticipate monitoring and protecting up to 40m ha of global forests by 2030 saving foresters over 468m in monitoring costs and creating over 50 direct jobs
new remote noninvasive monitoring solutions for ensuring the health of mothers and babies before and after birth

there is increasing focus on the well being of mothers and babies both before and after delivery and early detection ofpathologies to prevent mother and perinatal morbidity and mortality the overall well being of mothers also has longer termimpact women who remain healthy during pregnancy and after birth are more likely to stay healthy later in life and havebetter birth outcomes also influencing the infancy childhood and adulthood of their childrennewlife project will develop new remote noninvasive monitoring solutions for ensuring the health of mothers and babiesbefore and after birth the target is to develop emerging noninvasive methods for gathering vital data and analysing it withadvanced aiml methods to be able to secure life in its most vulnerable phase for clinical acceptance the developedsolutions need to be well integrated to the clinical workflows with proper data integration security safety and medicalqualificationthe technologies and solutions developed are demonstrated in five use cases for both hospitals and personalizedmonitoring in home environments 1 pregnancy parent companion 2 smart garment for monitoring of pregnancies complications 3 fetal monitoring patch for highrisk pregnancies 4 newborn monitoring with smart clothes and 5 newbornmonitoring well being in bed with the developed solutions newlife project will contribute to the disruption of the health caremodels by focusing on preventive actions rather than treating diseases and moving healthcare from hospitals to home
development of indicators econometric analysis on ri performance

this project continues the research activity carried out by the jrc in support of the work on better evidence for policymaking by the directorategeneral for research innovation ri it focuses on three interrelated research streams the first research line consists in the development refinement and update of the methodologies concerning composite indicators and dashboards measuring ri performance of eu member states mss and selected benchmark countries more specifically the innovation output indicator ioi and the people planet and prosperity 3p dashboards the second research line concerns the green and digital technologies in the eu and the knowledge base needed for their development and includes a description of recent technological trajectories and an analysis of the role of innovative foreign direct investments flows to the establishment of the related knowledge base the third research line is about the complex relationships between digital technologies on the one side and the social economic and environmental domains of sustainable development on the other one using the lens of scientific knowledge through scientific publications the research entails first the benchmarking of eu mss performance in the production of pertinent scientific knowledge and second the assessment of the contribution of advanced digital technologies to the achievement of societal development goals