Dragon09/odtu_chatbot huggingface dataset:
mean curvature flow singularity formation beyond 2 convexity and applications

geometric flows as a mean to attack problems in topology geometry and physics had been demonstrated to be an extremely powerful tool the most successful such flow to date is the ricci flow rf which was used in the proof of the geometrization conjecture the mean curvature flow mcf the most natural geometric flow for submanifolds in an ambient space had also been successfully applied to address such problems nevertheless the most striking potential applications of mcf are still out of reach the goal of the proposed research is to advance the understanding of the formation of singularities in mcf and to study a particular application of mcf for general relativity more concretely we propose to continue the systematic study of the formation of bubblesheet singularities in 4space initiated by choi haslhofer and the pi with the goal of obtaining a mean convex neighbourhood theorem in this setting we also propose to study the formation of singularities more generally and in particular the structure of the singular set the second objective of the proposed research is to employ mcf in lorentzian spacetime satisfying the einstein equation with positive cosmological constant to obtain versions of the cosmic no hair conjecture namely geometric convergence results to de sitter space
errorcorrecting codes and computation

errorcorrecting codes are a method for a redundant representation of data that enables one to can recover the original data even in the presence of some noise or corruption in addition to their wide practical applicability errorcorrecting codes are also supported by a rich theory with connections to diverse disciplines in mathematics science and engineering a particularly fruitful such connection has been the interplay with the theory of computation where on the one hand computational methods were used for the design of errorcorrecting codes admitting efficient errorcorrection algorithms and in the reverse direction such codes were useful for a variety of applications within the theory of computationthe current project aims to significantly enhance the aforementioned connections our first main objective is to design errorcorrecting codes that on the one hand achieve the best possible informationtheoretic tradeoff between their redundancy and errorresilience and on the other hand admit superfast errorcorrection algorithms we further believe that such codes are a powerful tool that can be used for boosting the efficiency of various fundamental computational tasks and our second main objective is to explore such potential applications we outline a couple of such potential applications within the theory of computation to obtaining highlyefficient proof systems finegrained inapproximability results fast derandomization and codebased cryptography with low overheadthe goals we plan to pursue are fundamental and longstanding and even a partial progress on them would be groundbreaking with theoretical and potentially also practical impact despite the significant challenge there has recently been an exciting progress towards these goals including by the pi and we consequently believe that we are now in a unique position for pursuing these goals
illuminating human fes cluster biology

ironsulfur fes clusters were ancient partners in the origin of life spontaneously formed in the anaerobic primordial oceans they likely helped catalyze carbon fixation and rudimentary metabolism highly versatile fes clusters unlock previously inaccessible abilities for their binding proteins aiding in electron relay catalysis regulation and structural stability over the past 20 years it has become clear that fes clusters must be formed denovo within the cell by essential proteinaceous machineries and relayed directly to their binding proteins during this time huge strides have been made to delineate the components and molecular mechanisms of this pathway however our grasp of the regulation client range and dynamics of fes cluster biosynthesis in the human cell remains fragmented these critical gaps of knowledge hinder our understanding of how fes cluster biosynthesis supports healthy human cells and how its breakdown can lead to multiple diseaseswe aim to break through to a new level understanding of human fes cluster biosynthesis catapulting our knowledge forward to encompass its holistic cellular state in fesurveil we will broadly and unbiasedly identify the human fes cluster proteome aim 1 uncover regulators of fes cluster biosynthesis aim 2 and dissect client priorities for the relay proteins aim 3 fesurveil will leverage our expertise in fes cluster biology and capitalize on our unique interdisciplinary skills spanning tool creation stateoftheart genetic profiling proteomic analysis cell biology and biochemical approaches together these independent but synergistic lines of research will illuminate the complex reciprocal relationship between fes cluster biosynthesis and the dynamic cellular environment this comprehensive perspective is essential for understanding fundamental aspects of human fes cluster biology while also providing valuable information for disease intervention and bioengineering
targeted protein degradation as a new experimental and therapeutic approach for pancreatic ductal adenocarcinoma

pancreatic ductal adenocarcinoma pdac is a lifethreatening disease with few treatment options recently the chemical space for targeted therapeutics was significantly increased by the development of compounds that induce protein degradation protacs but so far they are unavailable for pdac the main motivation of protacpdac is to develop novel targeted therapies for pdac the project is based on our accomplishments in three crucial areas first my group identified as target candidates a series of transcription factors that are absolutely required for pdac growth in vivo second we developed dozens of potent specific protacs thereby gaining deep insight into the underlying design principles and synthesis procedures third we established genetic models in mice for simulating protac function and discovering ideal targete3 ligase pairs in protacpdac we will develop compounds that degrade key oncogenic transcription factors and inhibit pancreatic tumor growth with minimal toxicity in healthy tissues we will start by implementing the auxin degron system in a murine pdac model to induce degradation of the target candidates and select four priority targets with the highest therapeutic index aim i then we will assess their oncogenic functions by analyzing molecular cellular and organismic consequences of acute depletion in mice aim ii in parallel we will develop pharmaceutical protacs to induce target degradation and analyze their efficacy in pdac models aim iii finally with the aim of developing less toxic pdac therapy we will identify pancreatic e3 ligases for the design of the first tissuespecific protacs that induce target degradation primarily in pancreatic tumor cells aim ivwhile the main goal of protacpdac is to develop new protacbased therapeutic strategies we will also establish groundbreaking methods and models leading to fundamental discoveries in pdac biology
the effectiveness of nitrogen and phosphorus load reduction measures from source to sea considering the effects of climate change

the central aim of the proposed source to sea napsea csa is to support national and local authorities in selecting effective nutrient load reduction measures and to gain political support for the implementation the consortium partners have been closely involved in applied research and implementation of nutrient reduction measures at local national and european level in napsea the current challenges to reduce nutrient pollution eutrophication and its negative impacts on inland and coastal waters and their ecosystem services will be addressed by an integrated approach addressing nutrient pollution from river source to sea using the rhine and elbe riversnorth sea coastal system as case study and integrating three complementary perspectives governance nutrient pathways measures and ecosystem health each of these perspectives provide an essential part of the solution to achieving a healthy ecosystem with measures that are societally acceptable and costeffective we will identify options to reach a harmonized approach in nutrient reduction measures across different geographical areas and policy frameworks governance select and evaluate nutrient reduction scenarios with an integrated modelling framework from source to sea nutrient pathways and define safe ecological boundaries for different types of ecosystems along the continuum from catchment to coast ecosystem health napsea will showcase the best practices and consider obstacles on the implementation of socially acceptable sustainable and effective measures for several local case studies within this geographical scope also taking into account effects of climate change these case studies accommodate the variability in potential threats of eutrophication as well as feasibility effectiveness and implementation of potential measures to represent different ecosystem types with varying eutrophication symptoms and address different socioeconomic and governance scales from local to european level
systems and engineering science doctorate

lut university is developing doctoral education with the msca cofund systems and engineering science doctorate seed programme for the duration of 60 months with 13 doctoral candidates dc the programme builds on a versatile scholar programme a systematic secondment scheme and detailed communication dissemination and exploitation measures the systematic secondment scheme builds on each dc having an academic secondment in a european or international university of high standing and excellence and a nonacademic secondment in industry in finland the fields of study and research are software engineering chemical engineering industrial engineering management iem computational engineering applied mathematics and technical physics lut is the main beneficiary and we have 20 excellent associated partner organisations committed to hosting the dcs during their secondments during the seed programme we will develop more systematic and transparent selection processes for dcs promote equal opportunities and improve the quality of supervision and management of doctoral education this all leads to a doctoral training programme of higher quality career guidance and more systematic skill development increasing the career prospects of the dcs in both academic and nonacademic environments
unlocking the mesoscale frontier of cloudclimate uncertainty

climate projections are essential for guiding societys response to climate change but feature significant uncertainty according to the latest assessment of the intergovernmental panel on climate change ipcc clouds remain the largest source of this uncertainty the main culprit are mesoscale cloud fields which organize into striking patterns and cover hundreds of kilometers over the subtropical and tropical oceans while conspicuous in satellite imagery we lack the concepts and tools to adequately model their evolutionto overcome this mesoscale cloudclimate uncertainty the project will develop a framework to conceptually understand and quantitatively predict mesoscale cloudiness from time series of satellite imagery this requires a fundamental change of perspective instead of investigating cloud processes from the bottom up the new approach will directly focus on the emergent behavior at the mesoscale the new framework will capture mesoscale cloudiness as a datadriven complex system this characterization will enable an assessment of the role of clouds in climate projections that is novel in two aspects first it will include observational information that has not been used before to reduce cloudclimate uncertainty second the reliability of stateoftheart lines of evidence will be objectively judged based on how well they capture different scales of cloud processes the new methodology will be equipped to tap into the next generation of data and unlock additional lines of evidenceas a comprehensive tool for mastering mesoscale cloudiness the new framework will have broad and lasting impact it will steer future cloud research it will notably reduce uncertainty in the next ipcc assessment and it will be an essential guide for the upcoming datadriven revolution of atmospheric and climate modeling
lightinduced macroscopic assembly under dissipative conditions communication between artificial swimmers

nature exploits transient selfassembled architectures that require a continuous input of energy to express functional properties across length scales the development of synthetic mimics of such nonequilibrium systems provides access to innovative materials with lifelike properties which respond to external stimuli while adapting their structure however the production of macroscopic building blocks that selfassemble under dissipative conditions to display emergent functionalities remains an ongoing challenge this multidisciplinary project aims to create a macroscopic selfassembling system that shows communication between the constituent artificial building blocks under dissipative conditions in particular swimmers that selfassemble under light irradiation are exploited as a minimalistic model of responsive macroscopic matter with dissipative characteristics light induces the swimmer locomotion concomitantly providing energy to allow the anchoring between them thanks to a reactiondiffusion network a successful connection is signalled by fluorescence emission confined at the interface of the interlinked swimmers due to the nonequilibrium state the fluorescence is maintained when light is removed and the assembled structure slowly relaxes back to individual entities no emission upon reestablishing the illumination the cycle is repeated these results make a leap from passive building blocks to dynamic molecular systems to macroscopic functional matter with embedded networks this msca project will be performed at the aizenberg and prins groups where i will enrich his scientific background with acquired knowledge in adaptive materials and dissipative systems moreover i will improve my leadership management and teaching skills with the proposed training activities and by closely working with both supervisors ultimately this msca will allow me to become an established researcher in a highly competitive scientific environment
innovation in germplasm cryopreservation for improved animal breeding and the conservation of europes livestock biodiversity

cryostore aims to create a lasting research and education network for a new generation of animal husbandry experts with a broad multidisciplinary approach to the complexity of modern animal production and the conservation of farm animal biodiversity taking into account economic societal and environmental needs a vibrant and effective animal breeding and production industry is essential to meet europes increasing need for sustainable and secure food production farm animal and fish breeding are global highly competitive and knowledge intensive sectors and currently european breeding organisations are global leaders if europe is to maintain its competitive advantage in these strategically important industries innovative research is needed in those reproductive technologies that underpin efficient and profitable animal production as such cryostore will develop innovative technologies for improved cryopreservation of germplasm gametes embryos germ cells for use in assisted reproductive procedures leading to increased reproductive efficiency in europes livestock and aquaculture industries technological advances in germplasm cryopreservation will also be of key importance to future initiatives aimed at conserving europes livestock biodiversity through genetic resource banking conserving europes numerous and diverse native breeds many of which are seriously threatened will be of crucial importance to future sustainable animal production as genetic biodiversity allows the expression of advantageous traits influencing adaptability to harsh environments or disease resistance it is likely that selecting for naturally occurring traits will help overcome future difficulties in livestock production wrought by climate change the intensive training of cryostore esrs in a wide range of scientific and transferable skills will greatly enhance their future employability in europes important animal production industries and conservation initiatives
paving the way for offtheshelf adoptive treg therapy using epigenetic forward programming

regulatory t cells treg are a type of immune cell that can suppress harmful inflammation caused by autoimmune diseases or organ transplant rejection using treg as a living drug is a promising form of precision medicine but it faces many practical and economic challenges such as the need to produce a specific cell product for each patient a more feasible solution would be to create offtheshelf treg products that are readily available and can be used universally without customizing them for each patient one way to do this is to use human induced pluripotent stem cells hipscs which can be differentiated into many different cell types however for tregs this has not been achieved yet in a clinically relevant wayin this proof of concept study we will test our novel method of epigenetic editing on hipscs which can modify the dna structure and gene expression of the cells to make them differentiate into functional treg for their application in therapy this method is based on our previous work in the erc starting grant project epitune if successful it will open new avenues for the production of offtheshelf therapeutic treg products which would mean a very important innovation for the field of treg therapyfor this project we assembled a team of experts who have experience in developing and testing new t cell therapy products in the clinic including regulatory affairs experts ip protection professionals and marketing strategists if the poc succeeds their advice and guidance will help us prepare for the next steps of developing a clinicalgrade manufacturing process
fundamental limits of sensing systems

this project derives informationtheoretic fundamental limits and tradeoffs of classical and quantum distributed sensing detection and estimation systems which are key in the industry 40 smart cities environmental applications autonomous vehicles etc our limits will 1 serve as benchmarks for practical designs 2 characterize the inherent tradeoffs and 3 provide engineering guidelines so far a technique is missing that can derive the limits of modern distributed sensing systems with multiple decision centers multiple objectives and interactive and sequential behaviours for the emerging field of quantum sensing even the limits of simple distributed systems have not been derived with our recent converse proof technique which already served to establish limits of detection channel coding and compression problems we have a powerful tool for obtaining the desired strong or probabilityoferror dependent converse proofs
health innofacilitator the european facilitator community promoting public procurement of innovation in healthcare

health innofacilitator aims to create a community leveraging capabilities and promoting innovation procurement within healthcare provide support tailormade training and coaching services for buyers and suppliers develop and foster a community supported by online collaborative tools increase the awareness skills and knowledge about innovation procurement among the buyers and the solution providers actors of innovation build capabilities and therefore fostering the innovation procurement capabilities within the community providing trainings mentoring and coaching and supporting the community which will in return improve smes and startups access to innovation procurement leverage capability among the buyers to develop innovation procurement foster public and private partnership to encourage the codesign of innovation procurement matching the buyers needs and helping the buyers to identify existing innovative solutions and to identify their needs for research and development
expanding the properties of artificial spider silk

spider silk is a material with remarkable biological and mechanical properties unfortunately the cannibalistic nature of spiders makes it impossible to harvest natural silk at large quantities whereas artificial silk production has historically suffered from poor quality low yields and environmentally harmful protocols overcoming these limitations prof anna rising host has recently developed a biomimetic spinning setup for generating high quality artificial silk fibres that uses water as the sole solvent and scales volume for economically feasible massproduction although remarkable the fibres generated still require improved mechanical and electromagnetic properties to achieve their full potential in the envisioned biomedical and soft electronics applications by combining the hosts expertise in protein biochemistry and biotechnology with my dr greco fellow skills in mechanical and materials engineering epass aims to improve the mechanical and electromagnetic properties of artificial silk fibres by spinning fibres from protein solutions containing carbon nanotubes and magnetic nanoparticles after establishing an optimized spinning protocol for the introduction of nanomaterials a new generation of modified silk fibres will be spun and analysed morphologically mechanically and electromagnetically delivering a novel strategy for generating silk fibres with custommade properties that are highly needed in the area of soft electronics with additional expertise gained from a secondment and shortterm visit epass will create a strong foundation for stateoftheart research and extensive knowledge sharing between researchers and organisationsin summary epass will integrate novel methodologies to create a new generation of scalable green materials with breakthrough potential in soft electronics while simultaneously shaping a new research line functionalized spider silk which i will pioneer thus boosting my future career as research leader
nanoscale bioanalytical measurements of exosome release to gain insight into the initiation of shortterm memory

the aim of this proposed research is to determine the molecular paradigm for initiation of stm based on exosome release despite the vital role in neural disorders the molecular mechanism to initiate stm remains a mystery understanding the mysterious mechanism of the stm initiation at the molecular level from how the exosome modulates synaptic strength and plasticity to effect memory is difficult to establish as it requires advanced analytical measurements at the level of nanometer exosomes and synaptic cleft to monitor individual exosome exocytosis events nanobioerstm will quantitative measure exosome release at single cell level and clarify it is another pathway of exocytosis through new analytical nanoelectrochemistry work package 1 and will determine how exosome release in the presence of endogenous lipids and zinc and exogenous effectors cognition enhancing drugs is regulated and will correlate these changes to the molecular initiation of stm work package 2 and 3 these changes which might alter the cell communication can be hypothesized to be the initial step that alters synaptic plasticity and commencement of stm these studies will be developed based on state of the art analytical techniques including subcellular nanoelectrochemistry nano secondary ion mass spectrometry nanosims and stimulated emission depletion sted superresolution nanoscopy on model cells and simple animal nerve cells overall this project will provide new insights into the pathogenesis of neurodegenerative disorders ultimately driving the development of exosomes as diagnostic biomarkers and therapeutic measures implementation of this project will also be a major innovation in the field of both neurochemical research and electrochemical sensing which will provide innovative analytical approaches for modern brain science discoveries