Dragon09/odtu_chatbot huggingface dataset:
abundance of rational points on lowdegree del pezzo surfaces

describing the set of rational solutions to polynomial equations is the oldest field in mathematics and one of the fundamental goals in number theory in arithmetic geometry such solutions are studied using geometric tools rational solutions to equations correspond to rational points on the corresponding geometric objectfano varieties are among the simplest geometric objects but still far from fully understood this makes them a great class to test conjectures and develop new techniques it is generally believed that fano varieties if they have a rational point should have many and they should be welldistributed for curves dimension 1 this is the case fano varieties in dimension 2 are del pezzo surfaces and already here there are many open questions these surfaces have been a very active area of research in the last 50 yearsdel pezzo surfaces are classified by their degree an integer between 1 and 9 the lower the degree the more complex these surfaces become and especially del pezzo surfaces of degree 1 are notoriously difficult current results on the rational points on these surfaces make use of adhoc constructions and a general geometric approach is missing this forms a sharp contrast with del pezzo surfaces of higher degree and leaves a big gap in the understanding of rational points on fano varietiesthis project proposes to create a systematic approach to construct rational points on del pezzo surfaces of degree 1 and use this to prove several different results on abundant rational points for new families of surfaces this will lead to answering big open questions unirationality hilbert property and weak weak approximation for del pezzo surfaces of degree 1 and providing evidence towards a longstanding conjecture on rational points on rationally connected varieties recent developments on the construction of rational points and lowgenus curves on del pezzo surfaces make this the perfect time to tackle the proposed objectives
road trailer design use of type v thermoplastic tube with light composite structure for hydrogen transport

nowadays existing trailer transportation solutions use tubes with a working pressure between 200 and 300 bar this is not efficient in terms of quantities or cost to address large refuelling stations knowing the upcoming rampup of fuel cellbased vehicles the overall objective of the road trhyp project is to develop and validate a trailer integrating new thermoplastic composite tubes type v to reach clean hydrogen partnership objectives by maximising the quantity of h2 transported while satisfying enduser requirements safety ability to be decontaminated and enforced regulations with a low tco by the end of the project the consortium will design a trailer capable of handling a payload of 15 tonne of h2 with 700 bar tubes and a capex lower than 400 kg this enables the decrease of the number of transport rotations between the site of production and the delivery site consequently the reduction of the environmental footprint of transporting compressed hydrogen but also a downsizing of the compressor at the hrs in the meantime the project will heavily investigate new fire testing methodologies and safety barriers for type v adoption results which will be disseminated to key policy makers and regulatory committeesroad trhyps overall ambition is to develop europes value chain of type v technologies more specifically the project intends to address all manufacturers across europe who could benefit from the projects innovative process and materials beyond the targeted commercial type v trailers applications the knowledge developed on composite materials could benefit main actors in the mobility sectors or the hydrogen storage for interseasonal energy storage as a consequence the project would help achieve the european green deal making hydrogen a widespread energy carrier by 2030
altermagnetism and spintronics without magnetization and relativity

magnetically ordered crystals are traditionally divided into two basic phases ferromagnetism and antiferromagnetism the ferromagnetic order offers a range of phenomena and device applications the vanishing net magnetization in antiferromagnets is potentially favorable for spatial and temporal scalability of devices recently our team and others have predicted instances of strong timereversal symmetry breaking and spin splitting in electronic bands typical of ferromagnetism in crystals with antiparallel compensated magnetic order typical of antiferromagnetism our central idea resolving this apparent fundamental conflict in magnetism is that symmetry classifies a third basic magnetic phase its alternating spin polarizations in both crystalstructure real space and electronicstructure momentum space suggest a term altermagnetism we will demonstrate that altermagnets combine merits of ferromagnets and antiferromagnets that were regarded as principally incompatible and have merits unparalleled in either of the two traditional basic magnetic phases in objective 1 we will establish materials landscape of altermagnetism and in objective 2 show how its anisotropic dwave nature enriches fundamental physics concepts of lifted kramers spindegeneracy fermiliquid instabilities and electron quasiparticles this will underpin our development of a new avenue in spintronics elusive within the two traditional magnetic phases based on strong nonrelativistic spinconserving phenomena without magnetization imposed scalability limitations and with complex functionalities in objective 3 we will demonstrate altermagnetic giantmagnetoresistive multilayer memory devices in objective 4 we will realize logicinmemory analog functionalities in singlelayer nanoscale devices via atomicallysharp altermagnetic domain walls written by pulses scaled down to femtoseconds and forming networks of selfassembled atomicscale giantmagnetoresitive junctions
physics informed machine learningbased prediction and reversion of impaired fasting glucose management

the incidence of undiagnosed diabetes accounts for 36 european adults while 541m adults worldwide have impaired glucose tolerance igt an important risk factor for further t2d development both igt andor impaired fasting glucose ifg are intermediate glucose mishandling ie intermediate conditions in the healthyt2d transition and are manifestations of the socalled prediabetes condition prediabetes itself is not an extensively studied condition compared to the overt t2d but it is also a condition that can be reversed without the prescription usage to not proceed into t2d the aim of our project is to develop a prototype tool for the realtime prediction of the prediabetic risk based on a series of patientspecific mathematical models firstly developed during the fp7 missiont2d project that simulate metabolism pancreas hormone production microbiome metabolites inflammatory process and immune system response the prediction algorithm will be based on a physicsinformed machine learning approach a rich dataset of reallife data will be combined with a mathematical model to overcome the limits of a blackbox ml approach while reducing the computational time for simulating the solutions of a heavy mathematical models and improving its prediction performanceswe will collect the necessary training data eg diet questionnaire physical activity blood metabolites and microbiome from already existing clinical studies used as retrospective trials which are representative of the reallife scenarios of a prediabetesdiabetes risk insurgence in adulthood 2080y family history metabolic syndrome liver disease and obesity a newly dedicated multicentric pilot prospective observational study will be also performed during which we will also equip the participants with wearable sensors eg glucose monitoring bioimpedance heart rate accelerometer
large scale system approach for advanced charging solutions

the number of batterypowered electric vehicles is expected to be at 3040 million by 2030 in the eu this strong increase of electric vehicles is a big challenge for the energy system in europe but at the same time a chance to use v1gv2gv2xtechnologies as vehicles are mainly parking they can be used as energy storage in order to increase grid stabilitythe overall project objective is to optimize the entire charging chain from energy provision to the end user to create a clear benefit for all stakeholders therefore a ubiquitous ondemand charging solution based on an optimized charging network considering human technical and economic factors along the entire charging chain shall be developed the investigation of the user behavior as well as the analysis of the energy system and grid will form the basis from a research side to predict the future behavior of ev owners and fleet operators as well as possible shortcomings in the electric grid and energy system the development of advanced charging technologies and control mechanisms as well as advanced charging and sector coupling concepts will form the basis for the virtual and real evalulationsdemonstrations conducted in 4 different european countries belgium germany italy portugal in parallel a smart charging simulation environment digital twin of the charging chain with a holistic simulation environment with multilevel component models and representative information flow between all agents will be built up this digital twin will incorporate the results of the demonstration actions and enable an upscaling to show the impact of these technologies to ensure the interoperability and the optimization along this charging chain the consortium comprises all relevant partnersstakeholders energy providers grid operators charge point operator ev equipment providers as well a vehicle manufacturer
biorthogonal catalytic scaffold for in situ personalized cancer chemoimmunotherapy

in this fellowship i will leverage the recent advances in biorthogonal chemistry to develop an implantable catalytic hydrogel for chemoimmunotherapy through transition metalmediated biorthogonal drug uncaging the past decade saw incredible advances in the field of cancer immunotherapies with immune checkpoint blockade therapies and chimeric antigen receptort cell therapies demonstrating clinical efficacy however issues still exist as lifethreatening side effects and limited patient response therefore there is a huge need for innovative solutions to improve immunotherapies outcome this project seeks to apply the materials and reaction engineering competence of the applicant together with the biomaterials expertise of the stevens lab karolinska institute to design a nanocatalystdoped hydrogel with tailored geometry as the first biorthogonal catalytic system for cancer immunotherapy the biomaterial developed in this fellowship will address cancer immunotherapy through a completely unexplored approach catalytic uncaging of nontoxic prodrugs to their active form through metalcatalyzed depropargylation reactions completely orthogonal to biological processes the implant will enable uncaging of two toxic drugs a chemotherapeutic doxorubicin inducing immunogenic cell death and an immunostimulant drug r848 a tlr78 agonist the combination of drugs activated by the implant will enable localized cancer cells death with release of cancerspecific antigens antigens then uptaken by antigen presenting cells eventually eliciting antitumor immunity towards a personalized cancer vaccine the design of the scaffold will be guided by principles of biomaterials design and catalytic reaction engineering working in the stevens lab i will access stateoftheart equipment for materials synthesis and characterization and cutting edge facilities to study the cellmaterial interactions in vitro and characterize the efficacy of the envisioned treatment
methods and tools supporting digital product service system passport

modern industrial companies aim to extend their products with services as fundamental valueadded activities the key potential of the concept of product service system pss besides radical improvements in the use of products is a reduction of environmental footprint of products and services the overall footprint of pss is still insufficiently investigated the services within pss are an important insufficiently used source of digitalized data on the product and its use it is likely that digital means facilitating provision of consistent track and trace information on the origin composition and entire life cycle not only of a product but of all services offered and used around the product will offer important contribution towards achievement of full circularity for manufacturing the key idea of psspass is to investigate how extension of dpp to digital product service system passport dpssp can be effectively achieved and how it will allow for improved circularity of the manufacturing industry the overarching hypothesis is that lca underpinned by machine learning ml methods and informed by dynamic data paves the way to more accurate lca while supporting pss life cycle decision making the collected and sharable data from dpssp will allow to effectively apply ml as well as digital twin dt for more reliable decisionmaking processes concerning circularity of pss the project will provide methodological framework for definition development and update of dpssp digital environment for dpssp built on existing interoperability architectures set of ontologies for improved interoperability at dpssp environment novel dtbased simulation framework for modelling standardized and interoperable dts for pss lifecycle analysis and ai based methodtool to forecasts the environmental impact of pss the psspass solutions will be tested and evaluated within 3 pilots in diverse sectors home appliances complex equipment and textile industry
integration of heterogeneous data and evidence towards regulatory and hta acceptance

iderha will address the key obstacles to achieving appropriate access sharing use and reuse of lung cancer data and thus enable enhanced regulatory and hta decisionmaking recommendations for integrated health research with the aim to improve care and better meet the needs of patients and health care professionals the iderha open platform for multimodal health data will enhance innovation in eu health care systems and is directly scalable by means of connecting additional systems data sources and additional services and tools it will extend and elaborate standards in semantic interpretation data quality ethics and transferability to ensure the harmonisation of heterogeneous data sources and wider health data reuse use cases positioned along the lung cancer patient pathway will be implemented using retrospective data and in a remote patient care context these practical implementations will demonstrate the added value of multimodal data aggregation and analysis with impacts expected on public health patient burden health outcomes and cost we will perform aiml based lungcancer risk profiling using patients ehrs and improved ct image based aiml to provide risk prediction of potential lung cancer patients and explore the possibilility of personal prognosis of disease progression using patient monitoring and engagement including digital biomarker proms and connected devices the iderha platform will enable remote patient monitoring and provide data for joint patienthealth professional decision making along with health care stakeholders iderha will develop consensus policy recommendations for appropriate data sharing to enable multistakeholder research informed by patient advisory groups we will address critical obstacles and issues to heterogeneous health data primary and secondary use regulatory and hta agencies will be engaged to create criteria for assessing the acceptability of heterogeneous health research results in regulatory and hta decisionmaking
personalised health cognitive assistance for rehabilitation system

strokecaused cognitive and neuromotor impairment is currently an increasing burden poststroke deficits are commonly believed to be treated with rehabilitation direct medical costs of stroke are stimated to increase up to 943 billion usd only in us the indirect costs including nonhealthcare costs are estimated at 159 billion the journey towards recovery includes several stages from hospitalization to inpatient and outpatient rehabilitation and the subsequent return to home not everyone has access to rehabilitation programs and the gains of them tend to deteriorate after hospital discharge focused stroke rehabilitation reduces longterm disability and the economic burden of stroke and supports prevention by lessening modifiable risks the objective of phrase personalised health cognitive assistance for rehabilitation system is to create a workflow that integrates the best available scientific knowledge and obtain an efficient prognosis and intervention protocols for stroke and other brainrelated diseases it will not only allow to treat strokecaused impairments better and more efficiently but also it is a potential treatment for other neurological diseases like dementia aphasia and psci depression or multiple sclerosis eodynes phrase will be based on rgs previous technology developing its technology readiness level the present consortium brings together a comprehensive group of highly qualified experts so that eodyne can successfully produce prognosis and intervention individualized protocols ebrains will be the brain database and charit will provide with its brain models for the combination of data brain specslab will bring its knowledge in cognitive rehabilitation and will act as clinical coordinator while saddlepoint science brings the expertise to implement the ai tools for continuous improvement of the intervention protocols
improve the shelf life of perishable goods through stabilization of vitamins

food processing industries face great pressure to increase the shelf life of goods decreasing the tons of waste generated every year at the same time consumers are becoming more conscious about their choices and more critical about the use of synthetic preservatives the most common group of chemical compounds used to preserve the freshness of food are vitamins also known as antioxidants antioxidants are compounds capable to inhibit oxidation which is a chemical reaction that leads to the production of free radicals involving the possible damage the cells antioxidants such as vitamins vitamin c ascorbic acid or vitamin e tocopherol end these chain reactions for that reason many food supplements and cosmetics are constituted by these vitamins to prevent their early degradation is of maximum interest and it is the objective of this project to disclose the use of deep eutectic systems des to increase the shelftime of these compounds des are mixtures of two solid species that at particular molar ratio form a new compound with different properties the team has demonstrated already that the use of this technology enhances the antioxidant activity up to 5 days and prevents fruit oxidation up to 48 hours contrarily to what happens with conventional methods which only prevent food oxidation up a couple of hours within this proof of concept the team intends to validate the product in terms of its technical features but also validate the market and evaluate the commercial potential of our solution
conditions for responsible research of srm analysis cocreation and ethos cocreate

experimental research on solar radiation modification srm is controversial and feared to distract from climate change mitigation or leading to dangerous srm use it is not clear whether and under which conditions and governance arrangements experimental srm research may be desirable for reducing uncertainties and lowering the probability of problematic outcomes including unilateral deployment elsewhere cocreate seeks to help structure this decision problem through cocreative scoping analysis and engagement for the development of principles and guidelines the project starts with a series of scoping notes that outline key dimensions of experimental srm research including possible cases and their geographical stake and rightsholder and regulatory implications which ground the conceptual work cocreate then analyses and develops decisionsupport tools by asking what we can learn from governance analogues and how various risk evaluation frameworks may help identify key characteristics of research proposals cocreate furthermore analyses possible legal and procedural conditions including appropriate participation cocreate itself will for the development of these governance elements enter an extensive stakeholder and rightsholder dialogue that validates preliminary analytical work ensures stakeholders diverse dimensions of concern are included and strengthens deliberative capacity cocreate proposes guidelines and principles to facilitate decisionmaking by the relevant authorities on broader categories of experimental research of srm as well as casebycase decisions a draft will be discussed at a cocreate hosted conference and later refined based on feedback received proposed principles and guidelines will be grounded in a understanding of scientific merit physical and political dimensions of risk and riskattenuation benefit and consideration of broader sets of values and concerns cocreatively identified during the project
spatiotemporal analysis of mammalian embryonic development at singlecell level

mammalian early embryonic development requires exquisite spatiotemporal gene regulation at the level of individual cells however it is still unclear and remains a fundamental challenge how cell behaviours govern gastrulation and organogenesis in early embryos two techniques have recently been developed to investigate cell fate decisions in early mammalian development spatial transcriptomics at singlecell level or to study the dynamic transition from single cells to fully formed organisms in toto imaging and if only these two techniques could be combined would we be able to link cell motion with cell state and more completely understand developmental processes there is precedence for combining live cell imaging with gene expression data in ascidians and annelids but this has yet to be done at scale in more complex mammalian systems to this end the proposal aims to investigate early mammalian development by linking spatial transcriptomics and in toto imaging data this will be the first combination of realtime tracking of cellular dynamics and spatiotemporal gene expression profiles across the developing embryo thus providing insight into how cells move interact with each other and how they regulate their own gene expression ultimately revealing the fate that cells adopt accordingly i will develop a novel integration framework and generate the first cellularresolution mammalian embryo developmental gene expression map in four dimensions that reflects both cellular dynamics and spatiotemporal gene expression profiles at the singlecell level moreover this work will pave the way for multiomics integration which has been increasingly explored but to date is confined to the singlecell space