Dragon09/odtu_chatbot huggingface dataset:
colloidal control of multiphase flow in geological porous media

the coconut project aims at developing predictive capabilities to understand how colloids nanometals fine particles bacteria viruses asphaltenes control immiscible twophase flow in complex geological formations colloids including nanoparticles have an incredible potential to remobilize nonaqueous phases trapped by capillary forces in soils and the subsurface and then to remediate contaminated groundwater or to enhance oil recovery their use in daily engineering however is still underexploited because the lack of knowledge regarding their transport mechanisms is an obstacle to precise control of twophase flow importantly the presence of colloidal particles flowing in the subsurface challenges the standard modeling viewpoint of flow and transport based on darcys law we posit that the precise control of colloids on the motion of twophase flow can only be achieved by developing a deep knowledge of the coupled hydroelectrochemical processes at the porescale the coconut project uses a combined modellingexperimental strategy focusing on the porescale mechanisms and on the upscaling to the continuumscale the project is multidisciplinary and uses computational and experimental sciences fluid dynamics electrochemistry and mathematics the project will require the development of hydroelectrochemical computational models at different scales of interest wp1 we will use highresolution simulations to interrogate emergent physicochemical processes and characterize the surface attractive and repulsive forces at the nanoscale wp2 then we will decipher the mechanisms leading to the displacement of fluids trapped in an unsaturated porous medium in the presence of colloids using porescale modelling and microfluidic experiments wp3 finally we will demonstrate and optimize the twophase flow colloidal control in geological systems at the columnscale wp4
dimension and dynamics

this ambitious project tackles several fundamental questions in dynamical systems additive combinatorics and probability theory by developing groundbreaking techniques these new techniques are rooted in fractal geometry and will make use of the latest developments in dimension theory in particular we will tackle the dimension drop conjecture advance our understanding of projections of regular sets and aim to resolve open questions on quasisymmetric embeddings of random metric spaces our approach is to develop unifying machinery that will help in studying these seemingly disparate questions
molecular dynamic of neurons during c elegans lifespan

the objective of this network is to train through research a group of 10 young scientists giving them the practical skills and knowledge necessary to tacklethe function of a neuron is determined by its expression of morphogen receptors and adhesion proteins to pattern its connectome of synaptic protein complexes for intercellular communication and of ion channels for neuronal excitability and signal propagation the protein composition of any neuron is itself dependent on gene expression controlled by transcription factors and by posttranscriptional regulations splicing translation protein stability finally neurons are highly compartmentalized cells and require trafficking of proteins to their correct locations alterations of these neuronal features can therefore be observed at multiple levels molecular cellular and behavioral we will focus on three neuronal features i gene expression levels as measured by rna sequencing and proteomics ii assembly of functional multiprotein complexes by high resolution microscopy and proximity dependent protein labelling and iii phenotypic output via a combination of optogenetics calcium imaging and behavioral assaysthis research program will help define the critical features that differentiate between physiological and pathological states of a given neuron such biomarkers would be precious to facilitate drug screens or develop novel therapeutic strategies for human neurological diseasesthe interdisciplinary research and training programme will cover a broad spectrum of approaches and topics fromintracellular molecular interactions to cellcell communication gene expression profiling the impact of deleterious mutationsbehavioral studies and translation regulation coupled with extensive networkwide transferable skills training this will prepare thefellows for careers in the medically important field of neurobiology as well as a broad range of carriers including government andindustry
autonomous flying ships for interisland and inland waters transport

in europe many archipelagos and inland waterways can be found the use of such waterways for the airborne transportation of both goods and persons has huge potential and in many cases is the only possible way in this cases the transportation of goods and persons by airplanes or ships has many drawbacks the first have the problem of cost and environmental impact while the second while allowing larger payloads have the drawback of limited speed additionally both are extremely low energy efficient at high speed airship envisions an innovative use of a known transportation mean flying ships such vehicles also known as ekranoplans or winginground wig vehicles are designed and built to take advantage of the ground effect that allows these crafts to fly with enhanced lift and reduced drag wigs inherit all the advantages of conventional airborne transportation while being more energy efficient and environmentally friendly both from the carbon footprint and the acoustic noise pollution point of view airship will study and develop new technologies in zeroemission power onboar ai and in automatic flight control that overcome the challenging technological problems that flying in ground effect poses allowing such vehicles to become autonomous so they can be effectively used in a wide range of business applications and services leading to new aviation business models our aim is to lay the foundations of a new class of fully electrical unmanned aircraft system the uwv unmanned wig vehicle that brings together speed flexibility and energy efficiency
extratropicaltropical interaction a unified view on the extratropical impact on the subtropics and tropics at weather timescales

an immediate critical challenge facing humanity is the impact of weather extremes under a changing climate across the globe accurate weather forecasts and reliable climate projections rely on understanding the complex interactions between the atmospheric circulation and the water cycle largely governed by deep clouds tropical weather cannot be forecasted more than a day in advance leaving almost half of humanity living in these regions even more vulnerable although extratropical outside the tropics flows can drastically affect tropical clouds and precipitation this effect has not been systematically quantified or understood the novelty of this proposal is in asking a new question how do extratropical dynamics influence the subtropicswe will build on our recent work and paradigmchallenging preliminary results to study how extratropical dry cold air intrusions into the tropics dramatically modify its atmosphere and airsea interaction we will use a new global lagrangian identification approach to study this extratropicaltropical interaction for the first time and uniquely combine stateoftheart data from multiple sources diagnostic tools and multiscale modelling we will quantify the global spatiotemporal occurrence variability and trends of these events wp1 understand their underlying dynamics and precursors in midlatitudes and their impact on the water cycle wp2 and assess their suitability as predictors of highimpact tropical weather wp3 a dedicated international observational flight campaign will allow us to synergistically study the extratropics impact on the tropics wp4our findings will advance not only the meteorological community but also the oceanographic cloud physics and climate dynamics scientific communities by providing a unified global view of the interacting largescale atmospheric dynamics clouds and precipitation through their common weather timescales paving the way for timely accurate weather warnings
global migration justice beyond conflicting approaches to migration in international human rights law

migjust addresses the unacknowledged fundamental conflict between the european court of human rights which in its migration case law adopts a sovereignty approach normalising sedentarism and the interamerican and african human rights commission and court which adopt a human rights approach normalising mobility this fragmentation of international law also plays out in un human rights committees this fragmentation is not acknowledged in academic work in which the european approach is assumed to represent the most advanced version of international law this fragmentation is problematic because it undermines the international character of international law legal doctrine overlaps with political theory on migration justice which focuses on europe and north america and does not acknowledge distinct positions developed in latin american african and islamic political theorymigjust ends the hypothesised bias not merely by including interamerican african and un case law and acknowledging their distinct positions but by in addition linking european interamerican african and un case law to political theory migjust will thus producea restatement of international human rights law doctrine in the field of migration which includes interamerican african and un case law as well as european case lawan analysis of the conflicting fundamental positionsan analysis of how the conflict relates to divergent ideas on migration justice in european north american latino african and islamic political theorylegal doctrinal alternatives inspired by nonideal political and legal theoryin doing so migjust makes a fundamental academic contribution by ending the assumed european bias a fundamental contribution to legal practice by unlocking interamerican african and un case lawa fundamental contribution to international cooperation between states ios and ingos by making their varying normative positions understandable to each other
design and development of 3d printed force transducers

additive manufacturing am as an advanced manufacturing technique has the potential to transform the landscape of product development manufacturing and logistics as well as increase sustainability in a variety of industries over the past ten years am has gained widespread acceptance for producing various engineering and scientific components for research commercial and even medicinal uses the aim of the project is to design and develop 3d printed force transducers the specific objectives of the project are to contribute to the development of realistic concepts realizing that transducers are of many sorts and configurations the formulation of a model for extreme multiphysics situations is a significant goal of the work the project has a strong multidisciplinary aspect combining welldeveloped mechanics material science metrology machine design and computational analysis this proposal includes both the transfer of knowledge to the host institution and the training of the candidate in new advanced techniques this project is in line with the eu strategy for the united nations sustainable development goals
organization and function of the axonal endoplasmic reticulum

brain function relies on neurotransmission at synapses where local increases in calcium trigger the fusion of synaptic vesicles and release of their neurotransmitters decades of research yielded detailed knowledge on synaptic vesicles and the individual proteins that mediate neurotransmission conversely we know surprisingly little about the synaptic contribution of the largest organelle in neurons the endoplasmic reticulum er aberrant alterations in er shape are however associated with many neurologic disorders highlighting the importance of understanding the role this organelle plays in the neuron taking into consideration the mere quantity and range of specialized er functions such as calcium signalling and lipid synthesis the neuronal er has received very little attention i therefore strive to shed light on the major unresolved questions of the field namely what the er protein composition is in synapses and how the er contributes to important neuronal functions such as neurotransmissionto dissect er function in neurons i will first characterize the composition of neuronal er proteins and identify the key players that regulate er degradation second i will manipulate er content localization and degradation to understand how the er contributes to neurotransmission and development finally i will investigate the importance of er and er degradation for physiological and pathophysiological processes in vivo to this end i propose a multidisciplinary approach using advanced imaging techniques endogenous protein tagging and proteomics to study er function and its regulated degradation in neurons these studies will yield innovative fundamental insights into the role of synaptic er and thereby fill a crucial knowledge gap in neuroscience furthermore they will provide a better understanding and explanation of how defects in er and er degradation cause neurodegenerative diseases
swedish presidency conference on deep tech entrepreneurship for an innovative resilient and competitive internal market

the internal market turned 30 in the beginning of 2023 it is one of the greatest successes of the union but the eu cannot rest on it laurels there are several challenges to the internal market including inflation high energy costs competition from global rivals component supply shortages and the disruptions from the war in ukraine there is also an urgent need to push forward with the green and digital transitions the deep tech sector which is characterised by sciencebased revolutionary innovation holds the key to make europe globally competitive while at the same time bringing the next generation of clean technology to the market and reducing dependence on hostile counties the european commission has proposed several important initiatives to boost the eus competitiveness private sector national and regional governments and other stakeholders can join forces to help push for the common aims the swedish government and the innovation agency vinnova together with the european innovation council will host a presidency conference on deep tech entrepreneurship to provide a forum for knowledge exchange and coimplementation within the framework of the european innovation agenda and the action plan on intellectual property the discussions will focus on the following areasthe importance of researchintensive companies for the green and digital transformation financing for growth in europe competence supply and diversity access to infrastructure for researchintensive young companies improved collaboration between small researchintensive companies and large companies and the public sector strategic use of intellectual assetsthe conference will the held at xpo conference centre by stockholm arlanda airport sweden 12 june 2023
techtissue validate humanbased 3d in vitro models for accurate drug discovery and development towards a successful market entry

metatissue is focused on the design production and commercialization of chemically modified humanderived proteins to prepare hydrogels sponges and bioinks to improve 3d cell culture and disease modelling for drug discovery and development tissue engineering and personalized medicine advancementsmetatissue has developed a bioactive plateletrich plasma derivative precursor that can be cured upon light exposure to form soft materials with tunable mechanical properties such materials provide functional support for cell growth and interact with cells to control their function guiding the process of tissue morphogenesis this platform is the first to offer complete humanbased material for 3d cell culture and an easytouse solution for clinical purposesthis deep technology enables researchers to culture human cells in a physiologically relevant microenvironment for applications in cell culture research drug screening and development cancer research tissue engineering replacement of animal testing and therapeutic applications this technology will have a significant impact on the 3d cell culture market and pharmaceutical industry by accelerating drug screening and development reducing associated coststhese materials present an alternative to the gold standard materials that are currently used in cell culture assays which generally comprise animalderived proteins that form a gel under corporal conditions techtissue intend to achieve the current metatissue strategy by exploiting its business opportunity and setting a successful business strategy and commercialization plan based on the technical optimisation of the product the assessed market requirements the enduser needs and the competitor analysis
foundations for offshore wind turbines

the offshore wind sector has experienced rapid growth in recent years with new turbine technologies increased sizes and construction locations further from the shore in deeper waters than ever before a critical challenge for future developments is the lack of knowledge surrounding how to design foundations to support these turbines with the safety lifespan cost and environmental implications coming increasingly into question to maintain europes stance as a worldleader in offshore wind foundations for offshore wind turbines frontiers dn has been designed to bring together research intensive universities and major industry stakeholders to train the next generation of graduates with the appropriate skills to tackle the emerging issues presenting as a barrier to continued development of the sector 11 talented doctoral candidates dcs will undergo training via individual guided research projects networkwide disciplinespecific and transferrable training events and local training at each host over a 36month phd programme dcs will receive training in innovation communication commercialisation and entrepreneurship as well as undertaking specific modules in business development to arm them with the requisite allround skills to excel in academic or industry careers a tailored dissemination strategy will govern outputs and ensure that the research reaches wider audiences both scientific and public through a variety of media the secondment strategy is designed to expose dcs to both academic and industry environments to foster an appreciation for the requirements of each sector and to enable research translation where a dcs research makes an appropriate contribution to its field of science the candidate will be awarded a doctorate degree from one of four worldleading academic institutions partaking in the programme frontiers will create the next generation of highskilled professionals who will be in highdemand in this expanding sector
actionable performance intelligence towards health and care systems for people planet and prosperity

background there is an urgent need to improve health and care systems in a way that health inequalities are reduced health professionals are better protected and financial environmental waste are minimised to do so actionable health performance intelligence has to be available to and used by all relevant decisionmakers in the system consortium in this industrial doctorate health and care system decisionmakers policymakers purchasers managers health professionals patients and citizens join forces with scientific experts from a wide array of disciplines eg data science clinical science systems science planetary health health economics citizen science aim by training a next generation of professionals that leverage existing data across society to cocreate actionable performance intelligence with users healthintelact aims to empower decisionmakers to strengthen health and care systems positive impact on people planet and prosperity workplan via trainingthroughresearch and cocreation with different sectors 15 phd fellows will develop new methods to measure health and care systems peoplecentredness environmental sustainability and impact on prosperity they will develop tools to improve the interpretation of health data and embedding of intelligence in governance and develop strategies to apply intelligence in decisionmaking processes finally they will develop instruments to evaluate the use of healthcare performance intelligence in practice impact the actionable performance intelligence developed during the project has large potential to lead to improved health equity and access to care improved worker satisfaction and reduced financial and environmental waste in health and care systems after healthintelact our fellows will be well positioned to pursue careers in academia health services research data science government health policy healthcare quality assurance and commercial business it data analysis
heterogeneously integrated multi material photonic chiplets for neuromorphic photonic transfer learning ai engines

haetae targets to establish a novel computing paradigm by developing a multimaterial pic technology platform and align this along photonic neural network architectures capable of operating along the principles of transfer learning methods haetae will deploy a cointegrated pic platform that brings together the bestinclass material platforms through microtransferprinting and hybrid multichiplet bonding and proceeds along the bestinclass linear optical circuit architectures combining a sisi3n4sige photonics for highspeed fanin weighting and fanout computational stages b inp actives for onchip amplification and alloptical nonlinearities for speed and snrenhancement in neuromorphic photonic circuit layouts c sisi3n4 nonvolatile microelectromechanical systems mems structures for energyefficient and nonvolatile weighting d embedded fpgabased control plane for the efficient programmability of mems and chipconfiguration it aims to finally deliver a photonic transfer learning engine that can support one order of magnitude improvements along all critical performance metrics of ai chipsets energy efficiency of 19fjmac and onchip computational power that can scale to 41pmacs haetae aims to highlight the versatility and flexibility of its twofold photonic transfer learning accelerator by targeting three discrete application sectors in communications and computing i realtime threat detection processor for dc cybersecurity applications ii dl and ai computing as a llm transformer and iii an opticsenabled aienhanced dsp processor for imdd transceivers