Project acronym CapBed
Project Engineered Capillary Beds for Successful Prevascularization of Tissue Engineering Constructs
Researcher (PI) Rogério Pedro Lemos de Sousa Pirraco
Host Institution (HI) UNIVERSIDADE DO MINHO
Call Details Starting Grant (StG), PE8, ERC-2018-STG
Summary The demand for donated organs vastly outnumbers the supply, leading each year to the death of thousands of people and the suffering of millions more. Engineered tissues and organs following Tissue Engineering approaches are a possible solution to this problem. However, a prevascularization solution to irrigate complex engineered tissues and assure their survival after transplantation is currently elusive. In the human body, complex organs and tissues irrigation is achieved by a network of blood vessels termed capillary bed which suggests such a structure is needed in engineered tissues. Previous approaches to engineer capillary beds reached different levels of success but none yielded a fully functional one due to the inability in simultaneously addressing key elements such as correct angiogenic cell populations, a suitable matrix and dynamic conditions that mimic blood flow.
CapBed aims at proposing a new technology to fabricate in vitro capillary beds that include a vascular axis that can be anastomosed with a patient circulation. Such capillary beds could be used as prime tools to prevascularize in vitro engineered tissues and provide fast perfusion of those after transplantation to a patient. Cutting edge techniques will be for the first time integrated in a disruptive approach to address the requirements listed above. Angiogenic cell sheets of human Adipose-derived Stromal Vascular fraction cells will provide the cell populations that integrate the capillaries and manage its intricate formation, as well as the collagen required to build the matrix that will hold the capillary beds. Innovative fabrication technologies such as 3D printing and laser photoablation will be used for the fabrication of the micropatterned matrix that will allow fluid flow through microfluidics. The resulting functional capillary beds can be used with virtually every tissue engineering strategy rendering the proposed strategy with massive economical, scientific and medical potential
Summary
The demand for donated organs vastly outnumbers the supply, leading each year to the death of thousands of people and the suffering of millions more. Engineered tissues and organs following Tissue Engineering approaches are a possible solution to this problem. However, a prevascularization solution to irrigate complex engineered tissues and assure their survival after transplantation is currently elusive. In the human body, complex organs and tissues irrigation is achieved by a network of blood vessels termed capillary bed which suggests such a structure is needed in engineered tissues. Previous approaches to engineer capillary beds reached different levels of success but none yielded a fully functional one due to the inability in simultaneously addressing key elements such as correct angiogenic cell populations, a suitable matrix and dynamic conditions that mimic blood flow.
CapBed aims at proposing a new technology to fabricate in vitro capillary beds that include a vascular axis that can be anastomosed with a patient circulation. Such capillary beds could be used as prime tools to prevascularize in vitro engineered tissues and provide fast perfusion of those after transplantation to a patient. Cutting edge techniques will be for the first time integrated in a disruptive approach to address the requirements listed above. Angiogenic cell sheets of human Adipose-derived Stromal Vascular fraction cells will provide the cell populations that integrate the capillaries and manage its intricate formation, as well as the collagen required to build the matrix that will hold the capillary beds. Innovative fabrication technologies such as 3D printing and laser photoablation will be used for the fabrication of the micropatterned matrix that will allow fluid flow through microfluidics. The resulting functional capillary beds can be used with virtually every tissue engineering strategy rendering the proposed strategy with massive economical, scientific and medical potential
Max ERC Funding
1 499 940 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym DeepSPIN
Project Deep Learning for Structured Prediction in Natural Language Processing
Researcher (PI) André Filipe TORRES MARTINS
Host Institution (HI) INSTITUTO DE TELECOMUNICACOES
Call Details Starting Grant (StG), PE6, ERC-2017-STG
Summary Deep learning is revolutionizing the field of Natural Language Processing (NLP), with breakthroughs in machine translation, speech recognition, and question answering. New language interfaces (digital assistants, messenger apps, customer service bots) are emerging as the next technologies for seamless, multilingual communication among humans and machines.
From a machine learning perspective, many problems in NLP can be characterized as structured prediction: they involve predicting structurally rich and interdependent output variables. In spite of this, current neural NLP systems ignore the structural complexity of human language, relying on simplistic and error-prone greedy search procedures. This leads to serious mistakes in machine translation, such as words being dropped or named entities mistranslated. More broadly, neural networks are missing the key structural mechanisms for solving complex real-world tasks requiring deep reasoning.
This project attacks these fundamental problems by bringing together deep learning and structured prediction, with a highly disruptive and cross-disciplinary approach. First, I will endow neural networks with a "planning mechanism" to guide structural search, letting decoders learn the optimal order by which they should operate. This makes a bridge with reinforcement learning and combinatorial optimization. Second, I will develop new ways of automatically inducing latent structure inside the network, making it more expressive, scalable and interpretable. Synergies with probabilistic inference and sparse modeling techniques will be exploited. To complement these two innovations, I will investigate new ways of incorporating weak supervision to reduce the need for labeled data.
Three highly challenging applications will serve as testbeds: machine translation, quality estimation, and dependency parsing. To maximize technological impact, a collaboration is planned with a start-up company in the crowd-sourcing translation industry.
Summary
Deep learning is revolutionizing the field of Natural Language Processing (NLP), with breakthroughs in machine translation, speech recognition, and question answering. New language interfaces (digital assistants, messenger apps, customer service bots) are emerging as the next technologies for seamless, multilingual communication among humans and machines.
From a machine learning perspective, many problems in NLP can be characterized as structured prediction: they involve predicting structurally rich and interdependent output variables. In spite of this, current neural NLP systems ignore the structural complexity of human language, relying on simplistic and error-prone greedy search procedures. This leads to serious mistakes in machine translation, such as words being dropped or named entities mistranslated. More broadly, neural networks are missing the key structural mechanisms for solving complex real-world tasks requiring deep reasoning.
This project attacks these fundamental problems by bringing together deep learning and structured prediction, with a highly disruptive and cross-disciplinary approach. First, I will endow neural networks with a "planning mechanism" to guide structural search, letting decoders learn the optimal order by which they should operate. This makes a bridge with reinforcement learning and combinatorial optimization. Second, I will develop new ways of automatically inducing latent structure inside the network, making it more expressive, scalable and interpretable. Synergies with probabilistic inference and sparse modeling techniques will be exploited. To complement these two innovations, I will investigate new ways of incorporating weak supervision to reduce the need for labeled data.
Three highly challenging applications will serve as testbeds: machine translation, quality estimation, and dependency parsing. To maximize technological impact, a collaboration is planned with a start-up company in the crowd-sourcing translation industry.
Max ERC Funding
1 436 000 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym DEPENDABLECLOUD
Project Towards the dependable cloud:
Building the foundations for tomorrow's dependable cloud computing
Researcher (PI) Rodrigo Seromenho Miragaia Rodrigues
Host Institution (HI) INESC ID - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, INVESTIGACAO E DESENVOLVIMENTO EM LISBOA
Call Details Starting Grant (StG), PE6, ERC-2012-StG_20111012
Summary Cloud computing is being increasingly adopted by individuals, organizations, and governments. However, as the computations that are offloaded to the cloud expand to societal-critical services, the dependability requirements of cloud services become much higher, and we need to ensure that the infrastructure that supports these services is ready to meet these requirements. In particular, this proposal tackles the challenges that arise from two distinctive characteristic of the cloud infrastructure.
The first is that non-crash faults, despite being considered highly unlikely by the designers of traditional systems, become commonplace at the scale and complexity of the cloud infrastructure. We argue that the current ad-hoc methods for handling these faults are insufficient, and that the only principled approach of assuming Byzantine faults is too pessimistic. Therefore, we call for a new systematic approach to tolerating non-crash, non-adversarial faults. This requires the definition of a new fault model, and the construction of a series of building blocks and key protocol elements that enable the construction of fault-tolerant cloud services.
The second issue is that to meet their scalability requirements, cloud services spread their state across multiple data centers, and direct users to the closest one. This raises the issue that not all operations can be executed optimistically, without being aware of concurrent operations over the same data, and thus multiple levels of consistency must coexist. However, this puts the onus of reasoning about which behaviors are allowed under such a hybrid consistency model on the programmer of the service. We propose a systematic solution to this problem, which includes a novel consistency model that allows for developing highly scalable services that are fast when possible and consistent when necessary, and a labeling methodology to guide the programmer in deciding which operations can run at each consistency level.
Summary
Cloud computing is being increasingly adopted by individuals, organizations, and governments. However, as the computations that are offloaded to the cloud expand to societal-critical services, the dependability requirements of cloud services become much higher, and we need to ensure that the infrastructure that supports these services is ready to meet these requirements. In particular, this proposal tackles the challenges that arise from two distinctive characteristic of the cloud infrastructure.
The first is that non-crash faults, despite being considered highly unlikely by the designers of traditional systems, become commonplace at the scale and complexity of the cloud infrastructure. We argue that the current ad-hoc methods for handling these faults are insufficient, and that the only principled approach of assuming Byzantine faults is too pessimistic. Therefore, we call for a new systematic approach to tolerating non-crash, non-adversarial faults. This requires the definition of a new fault model, and the construction of a series of building blocks and key protocol elements that enable the construction of fault-tolerant cloud services.
The second issue is that to meet their scalability requirements, cloud services spread their state across multiple data centers, and direct users to the closest one. This raises the issue that not all operations can be executed optimistically, without being aware of concurrent operations over the same data, and thus multiple levels of consistency must coexist. However, this puts the onus of reasoning about which behaviors are allowed under such a hybrid consistency model on the programmer of the service. We propose a systematic solution to this problem, which includes a novel consistency model that allows for developing highly scalable services that are fast when possible and consistent when necessary, and a labeling methodology to guide the programmer in deciding which operations can run at each consistency level.
Max ERC Funding
1 076 084 €
Duration
Start date: 2012-10-01, End date: 2018-01-31
Project acronym DIRECT-fMRI
Project Sensing activity-induced cell swellings and ensuing neurotransmitter releases for in-vivo functional imaging sans hemodynamics
Researcher (PI) Noam Shemesh
Host Institution (HI) FUNDACAO D. ANNA SOMMER CHAMPALIMAUD E DR. CARLOS MONTEZ CHAMPALIMAUD
Call Details Starting Grant (StG), PE4, ERC-2015-STG
Summary Functional-Magnetic Resonance Imaging (fMRI) has transformed our understanding of brain function due to its ability to noninvasively tag ‘active’ brain regions. Nevertheless, fMRI only detects neural activity indirectly, by relying on slow hemodynamic couplings whose relationships with underlying neural activity are not fully known.
We have recently pioneered two unique MR approaches: Non-Uniform Oscillating-Gradient Spin-Echo (NOGSE) MRI and Relaxation Enhanced MR Spectroscopy (RE MRS). NOGSE-MRI is an exquisite microstructural probe, sensing cell sizes (l) with an unprecedented l^6 sensitivity (compared to l^2 in conventional approaches); RE MRS is a new spectral technique capable of recording metabolic signals with extraordinary fidelity at ultrahigh fields.
This proposal aims to harness these novel concepts for mapping neural activity directly, without relying on hemodynamics. The specific objectives of this proposal are:
(1) Mapping neural activity via sensing cell swellings upon activity (μfMRI): we hypothesize that NOGSE can robustly sense subtle changes in cellular microstructure upon neural firings and hence convey neural activity directly.
(2) Probing the nature of elicited activity via detection of neurotransmitter release: we posit that RE MRS is sufficiently sensitive to robustly detect changes in Glutamate and GABA signals upon activation.
(3) Network mapping in optogenetically-stimulated, behaving mice: we propose to couple our novel approaches with optogenetics to resolve neural correlates of behavior in awake, behaving mice.
Simulations for μfMRI predict >4% signal changes upon subtle cell swellings; further, our in vivo RE MRS experiments have detected metabolites with SNR>50 in only 6 seconds. Hence, these two complementary –and importantly, hemodynamics-independent– approaches will represent a true paradigm shift: from indirect detection of neurovasculature couplings towards direct and noninvasive mapping of neural activity in vivo.
Summary
Functional-Magnetic Resonance Imaging (fMRI) has transformed our understanding of brain function due to its ability to noninvasively tag ‘active’ brain regions. Nevertheless, fMRI only detects neural activity indirectly, by relying on slow hemodynamic couplings whose relationships with underlying neural activity are not fully known.
We have recently pioneered two unique MR approaches: Non-Uniform Oscillating-Gradient Spin-Echo (NOGSE) MRI and Relaxation Enhanced MR Spectroscopy (RE MRS). NOGSE-MRI is an exquisite microstructural probe, sensing cell sizes (l) with an unprecedented l^6 sensitivity (compared to l^2 in conventional approaches); RE MRS is a new spectral technique capable of recording metabolic signals with extraordinary fidelity at ultrahigh fields.
This proposal aims to harness these novel concepts for mapping neural activity directly, without relying on hemodynamics. The specific objectives of this proposal are:
(1) Mapping neural activity via sensing cell swellings upon activity (μfMRI): we hypothesize that NOGSE can robustly sense subtle changes in cellular microstructure upon neural firings and hence convey neural activity directly.
(2) Probing the nature of elicited activity via detection of neurotransmitter release: we posit that RE MRS is sufficiently sensitive to robustly detect changes in Glutamate and GABA signals upon activation.
(3) Network mapping in optogenetically-stimulated, behaving mice: we propose to couple our novel approaches with optogenetics to resolve neural correlates of behavior in awake, behaving mice.
Simulations for μfMRI predict >4% signal changes upon subtle cell swellings; further, our in vivo RE MRS experiments have detected metabolites with SNR>50 in only 6 seconds. Hence, these two complementary –and importantly, hemodynamics-independent– approaches will represent a true paradigm shift: from indirect detection of neurovasculature couplings towards direct and noninvasive mapping of neural activity in vivo.
Max ERC Funding
1 787 500 €
Duration
Start date: 2016-03-01, End date: 2021-02-28
Project acronym ELASTIC-TURBULENCE
Project Purely-elastic flow instabilities and transition to elastic turbulence in microscale flows of complex fluids
Researcher (PI) Manuel António Moreira Alves
Host Institution (HI) UNIVERSIDADE DO PORTO
Call Details Starting Grant (StG), PE8, ERC-2012-StG_20111012
Summary Flows of complex fluids, such as many biological fluids and most synthetic fluids, are common in our daily life and are very important from an industrial perspective. Because of their inherent nonlinearity, the flow of complex viscoelastic fluids often leads to counterintuitive and complex behaviour and, above critical conditions, can prompt flow instabilities even under low Reynolds number conditions which are entirely absent in the corresponding Newtonian fluid flows.
The primary goal of this project is to substantially expand the frontiers of our current knowledge regarding the mechanisms that lead to the development of such purely-elastic flow instabilities, and ultimately to understand the transition to so-called “elastic turbulence”, a turbulent-like phenomenon which can arise even under inertialess flow conditions. This is an extremely challenging problem, and to significantly advance our knowledge in such important flows these instabilities will be investigated in a combined manner encompassing experiments, theory and numerical simulations. Such a holistic approach will enable us to understand the underlying mechanisms of those instabilities and to develop accurate criteria for their prediction far in advance of what we could achieve with either approach separately. A deep understanding of the mechanisms generating elastic instabilities and subsequent transition to elastic turbulence is crucial from a fundamental point of view and for many important practical applications involving engineered complex fluids, such as the design of microfluidic mixers for efficient operation under inertialess flow conditions, or the development of highly efficient micron-sized energy management and mass transfer systems.
This research proposal will create a solid basis for the establishment of an internationally-leading research group led by the PI studying flow instabilities and elastic turbulence in complex fluid flows.
Summary
Flows of complex fluids, such as many biological fluids and most synthetic fluids, are common in our daily life and are very important from an industrial perspective. Because of their inherent nonlinearity, the flow of complex viscoelastic fluids often leads to counterintuitive and complex behaviour and, above critical conditions, can prompt flow instabilities even under low Reynolds number conditions which are entirely absent in the corresponding Newtonian fluid flows.
The primary goal of this project is to substantially expand the frontiers of our current knowledge regarding the mechanisms that lead to the development of such purely-elastic flow instabilities, and ultimately to understand the transition to so-called “elastic turbulence”, a turbulent-like phenomenon which can arise even under inertialess flow conditions. This is an extremely challenging problem, and to significantly advance our knowledge in such important flows these instabilities will be investigated in a combined manner encompassing experiments, theory and numerical simulations. Such a holistic approach will enable us to understand the underlying mechanisms of those instabilities and to develop accurate criteria for their prediction far in advance of what we could achieve with either approach separately. A deep understanding of the mechanisms generating elastic instabilities and subsequent transition to elastic turbulence is crucial from a fundamental point of view and for many important practical applications involving engineered complex fluids, such as the design of microfluidic mixers for efficient operation under inertialess flow conditions, or the development of highly efficient micron-sized energy management and mass transfer systems.
This research proposal will create a solid basis for the establishment of an internationally-leading research group led by the PI studying flow instabilities and elastic turbulence in complex fluid flows.
Max ERC Funding
994 110 €
Duration
Start date: 2012-10-01, End date: 2018-01-31
Project acronym EXOEARTHS
Project EXtra-solar planets and stellar astrophysics: towards the detection of Other Earths
Researcher (PI) Nuno Miguel Cardoso Santos
Host Institution (HI) CENTRO DE INVESTIGACAO EM ASTRONOMIA E ASTROFISICA DA UNIVERSIDADE DO PORTO
Call Details Starting Grant (StG), PE9, ERC-2009-StG
Summary The detection of more than 300 extrasolar planets orbiting other solar-like stars opened the window to a new field of astrophysics. Many projects to search for Earth-like planets are currently under way, using a huge battery of telescopes and instruments. New instrumentation is also being developed towards this goal for use in both ground- and space-based based facilities. Since planets come as an output of the star formation process, the study of the stars hosting planets is of great importance. The stellar-planet connection is strengthened by the fact that most of the exoplanets were discovered using a Doppler radial-velocity technique, where the gravitational influence of the planet on the star and not the planet itself is actually measured. This project aims at doing frontier research to explore i) in unique detail the stellar limitations of the radial-velocity technique, as well as ways of reducing them, having in mind the detection of Earth-like planets and ii) to develop and apply software packages aiming at the study of the properties of the planet-host stars, having in mind the full characterization of the newfound planets, as well as understanding planet formation processes. These goals will improve our capacity to detect, study, and characterize new very low mass extra-solar planets. EXOEarths further fits into the fact that I am currently Co-PI of the project for a new high-resolution ultra-stable spectrograph for the VLT. The results of this project are crucial to fully exploit this new instrument. They will be also of extreme importance to current state-of-the-art planet-search projects aiming at the discovery of other Earths, in particular those making use of the radial-velocity method.
Summary
The detection of more than 300 extrasolar planets orbiting other solar-like stars opened the window to a new field of astrophysics. Many projects to search for Earth-like planets are currently under way, using a huge battery of telescopes and instruments. New instrumentation is also being developed towards this goal for use in both ground- and space-based based facilities. Since planets come as an output of the star formation process, the study of the stars hosting planets is of great importance. The stellar-planet connection is strengthened by the fact that most of the exoplanets were discovered using a Doppler radial-velocity technique, where the gravitational influence of the planet on the star and not the planet itself is actually measured. This project aims at doing frontier research to explore i) in unique detail the stellar limitations of the radial-velocity technique, as well as ways of reducing them, having in mind the detection of Earth-like planets and ii) to develop and apply software packages aiming at the study of the properties of the planet-host stars, having in mind the full characterization of the newfound planets, as well as understanding planet formation processes. These goals will improve our capacity to detect, study, and characterize new very low mass extra-solar planets. EXOEarths further fits into the fact that I am currently Co-PI of the project for a new high-resolution ultra-stable spectrograph for the VLT. The results of this project are crucial to fully exploit this new instrument. They will be also of extreme importance to current state-of-the-art planet-search projects aiming at the discovery of other Earths, in particular those making use of the radial-velocity method.
Max ERC Funding
928 090 €
Duration
Start date: 2009-10-01, End date: 2014-12-31
Project acronym FattyCyanos
Project Fatty acid incorporation and modification in cyanobacterial natural products
Researcher (PI) Pedro LEÃO
Host Institution (HI) CIIMAR - Centro Interdisciplinar de Investigação Marinha e Ambiental
Call Details Starting Grant (StG), PE5, ERC-2017-STG
Summary Known, but mostly novel natural products (NPs) are in high demand – these are used in drugs, cosmetics and agrochemicals and serve also as research tools to probe biological systems. NP structures inspire chemists to develop new syntheses, and NP biosynthetic enzymes add to the metabolic engineer’s toolbox. The advent of next generation DNA-sequencing has revealed a vastly rich pool of NP biosynthetic gene clusters (BGCs) among bacterial genomes, most of which with no corresponding NP. Hence, opportunities abound for the discovery of new chemistry and enzymology that has the potential to push the boundaries of chemical space and enzymatic reactivity. Still, we cannot reliably predict chemistry from BGCs with unusual organization or encoding unknown functionalities, and, for molecules of unorthodox architecture, it is difficult to anticipate how their BGCs are organized. It is the valuable, truly novel chemistry and biochemistry that lies on these unexplored connections, that we aim to reveal with this proposal. To achieve it, we will work with a chemically-talented group of organisms – cyanobacteria, and with a specific structural class – fatty acids (FAs) – that is metabolized in a quite peculiar fashion by these organisms, paving the way for NP and enzyme discovery. On one hand, we will exploit the unique FA metabolism of cyanobacteria to develop a feeding strategy that will quickly reveal unprecedented FA-incorporating NPs. On the other, we will scrutinize the intriguing biosynthesis of three unique classes of metabolites that we have isolated recently and that incorporate and modify FA-moieties. We will find the BGCs for these compounds and dissect the functionality involved in such puzzling modifications to uncover important underlying enzymatic chemistry. This proposal is a blend of discovery- and hypothesis-driven research at the NP chemistry/biosynthesis interface that draws on the experience of the PI’s work on different aspects of cyanobacterial NPs.
Summary
Known, but mostly novel natural products (NPs) are in high demand – these are used in drugs, cosmetics and agrochemicals and serve also as research tools to probe biological systems. NP structures inspire chemists to develop new syntheses, and NP biosynthetic enzymes add to the metabolic engineer’s toolbox. The advent of next generation DNA-sequencing has revealed a vastly rich pool of NP biosynthetic gene clusters (BGCs) among bacterial genomes, most of which with no corresponding NP. Hence, opportunities abound for the discovery of new chemistry and enzymology that has the potential to push the boundaries of chemical space and enzymatic reactivity. Still, we cannot reliably predict chemistry from BGCs with unusual organization or encoding unknown functionalities, and, for molecules of unorthodox architecture, it is difficult to anticipate how their BGCs are organized. It is the valuable, truly novel chemistry and biochemistry that lies on these unexplored connections, that we aim to reveal with this proposal. To achieve it, we will work with a chemically-talented group of organisms – cyanobacteria, and with a specific structural class – fatty acids (FAs) – that is metabolized in a quite peculiar fashion by these organisms, paving the way for NP and enzyme discovery. On one hand, we will exploit the unique FA metabolism of cyanobacteria to develop a feeding strategy that will quickly reveal unprecedented FA-incorporating NPs. On the other, we will scrutinize the intriguing biosynthesis of three unique classes of metabolites that we have isolated recently and that incorporate and modify FA-moieties. We will find the BGCs for these compounds and dissect the functionality involved in such puzzling modifications to uncover important underlying enzymatic chemistry. This proposal is a blend of discovery- and hypothesis-driven research at the NP chemistry/biosynthesis interface that draws on the experience of the PI’s work on different aspects of cyanobacterial NPs.
Max ERC Funding
1 462 938 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym HyLEF
Project Hydrodynamic Limits and Equilibrium Fluctuations: universality from stochastic systems
Researcher (PI) ANA PATRICIA CARVALHO GONÇALVES
Host Institution (HI) INSTITUTO SUPERIOR TECNICO
Call Details Starting Grant (StG), PE1, ERC-2016-STG
Summary A classical problem in the field of interacting particle systems (IPS) is to derive the macroscopic laws of the thermodynamical quantities of a physical system by considering an underlying microscopic dynamics which is composed of particles that move according to some prescribed stochastic, or deterministic, law. The macroscopic laws can be partial differential equations (PDE) or stochastic PDE (SPDE) depending on whether one is looking at the convergence to the mean or to the fluctuations around that mean. One of the purposes of this research project is to give a mathematically rigorous description of the derivation of SPDE from different IPS. We will focus on the derivation of the stochastic Burgers equation (SBE) and its integrated counterpart, namely, the KPZ equation, as well as their fractional versions. The KPZ equation is conjectured to be a universal SPDE describing the fluctuations of randomly growing interfaces of 1d stochastic dynamics close to a stationary state. With this study we want to characterize what is known as the KPZ universality class: the weak and strong conjectures. The latter states that there exists a universal process, namely the KPZ fixed point, which is a fixed point of the renormalization group operator of space-time scaling 1:2:3, for which the KPZ is also invariant. The former states that the fluctuations of a large class of 1d conservative microscopic dynamics are ruled by stationary solutions of the KPZ. Our goal is threefold: first, to derive the KPZ equation from general weakly asymmetric systems, showing its universality; second, to derive new SPDE, which are less studied in the literature, as the fractional KPZ from IPS which allow long jumps, the KPZ with boundary conditions from IPS in contact with reservoirs or with defects, and coupled KPZ from IPS with more than one conserved quantity. Finally, we will analyze the fluctuations of purely strong asymmetric systems, which are conjectured to be given by the KPZ fixed point.
Summary
A classical problem in the field of interacting particle systems (IPS) is to derive the macroscopic laws of the thermodynamical quantities of a physical system by considering an underlying microscopic dynamics which is composed of particles that move according to some prescribed stochastic, or deterministic, law. The macroscopic laws can be partial differential equations (PDE) or stochastic PDE (SPDE) depending on whether one is looking at the convergence to the mean or to the fluctuations around that mean. One of the purposes of this research project is to give a mathematically rigorous description of the derivation of SPDE from different IPS. We will focus on the derivation of the stochastic Burgers equation (SBE) and its integrated counterpart, namely, the KPZ equation, as well as their fractional versions. The KPZ equation is conjectured to be a universal SPDE describing the fluctuations of randomly growing interfaces of 1d stochastic dynamics close to a stationary state. With this study we want to characterize what is known as the KPZ universality class: the weak and strong conjectures. The latter states that there exists a universal process, namely the KPZ fixed point, which is a fixed point of the renormalization group operator of space-time scaling 1:2:3, for which the KPZ is also invariant. The former states that the fluctuations of a large class of 1d conservative microscopic dynamics are ruled by stationary solutions of the KPZ. Our goal is threefold: first, to derive the KPZ equation from general weakly asymmetric systems, showing its universality; second, to derive new SPDE, which are less studied in the literature, as the fractional KPZ from IPS which allow long jumps, the KPZ with boundary conditions from IPS in contact with reservoirs or with defects, and coupled KPZ from IPS with more than one conserved quantity. Finally, we will analyze the fluctuations of purely strong asymmetric systems, which are conjectured to be given by the KPZ fixed point.
Max ERC Funding
1 179 496 €
Duration
Start date: 2016-12-01, End date: 2021-11-30
Project acronym IgYPurTech
Project IgY Technology: A Purification Platform using Ionic-Liquid-Based Aqueous Biphasic Systems
Researcher (PI) Mara Guadalupe Freire Martins
Host Institution (HI) UNIVERSIDADE DE AVEIRO
Call Details Starting Grant (StG), PE8, ERC-2013-StG
Summary With the emergence of antibiotic-resistant pathogens the development of antigen-specific antibodies for use in passive immunotherapy is, nowadays, a major concern in human society. Despite the most focused mammal antibodies, antibodies obtained from egg yolk of immunized hens, immunoglobulin Y (IgY), are an alternative option that can be obtained in higher titres by non-stressful and non-invasive methods. This large amount of available antibodies opens the door for a new kind of cheaper biopharmaceuticals. However, the production cost of high-quality IgY for large-scale applications remains higher than other drug therapies due to the lack of an efficient purification method. The search of new purification platforms is thus a vital demand to which liquid-liquid extraction using aqueous biphasic systems (ABS) could be the answer. Besides the conventional polymer-based systems, highly viscous and with a limited polarity/affinity range, a recent type of ABS composed of ionic liquids (ILs) may be employed. ILs are usually classified as “green solvents” due to their negligible vapour pressure. Yet, the major advantage of IL-based ABS relies on the possibility of tailoring their phases’ polarities aiming at extracting a target biomolecule. A proper manipulation of the system constituents and respective composition allows the pre-concentration, complete extraction, or purification of the most diverse biomolecules.
This research project addresses the development of a new technique for the extraction and purification of IgY from egg yolk using IL-based ABS. The proposed plan contemplates the optimization of purification systems at the laboratory scale and their use in countercurrent chromatography to achieve a simple, cost-effective and scalable process. The success of this project and its scalability to an industrial level certainly will allow the production of cheaper antibodies with a long-term impact in human healthcare.
Summary
With the emergence of antibiotic-resistant pathogens the development of antigen-specific antibodies for use in passive immunotherapy is, nowadays, a major concern in human society. Despite the most focused mammal antibodies, antibodies obtained from egg yolk of immunized hens, immunoglobulin Y (IgY), are an alternative option that can be obtained in higher titres by non-stressful and non-invasive methods. This large amount of available antibodies opens the door for a new kind of cheaper biopharmaceuticals. However, the production cost of high-quality IgY for large-scale applications remains higher than other drug therapies due to the lack of an efficient purification method. The search of new purification platforms is thus a vital demand to which liquid-liquid extraction using aqueous biphasic systems (ABS) could be the answer. Besides the conventional polymer-based systems, highly viscous and with a limited polarity/affinity range, a recent type of ABS composed of ionic liquids (ILs) may be employed. ILs are usually classified as “green solvents” due to their negligible vapour pressure. Yet, the major advantage of IL-based ABS relies on the possibility of tailoring their phases’ polarities aiming at extracting a target biomolecule. A proper manipulation of the system constituents and respective composition allows the pre-concentration, complete extraction, or purification of the most diverse biomolecules.
This research project addresses the development of a new technique for the extraction and purification of IgY from egg yolk using IL-based ABS. The proposed plan contemplates the optimization of purification systems at the laboratory scale and their use in countercurrent chromatography to achieve a simple, cost-effective and scalable process. The success of this project and its scalability to an industrial level certainly will allow the production of cheaper antibodies with a long-term impact in human healthcare.
Max ERC Funding
1 386 020 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym NanoTrigger
Project Triggerable nanomaterials to modulate cell activity
Researcher (PI) Lino Da Silva Ferreira
Host Institution (HI) CENTRO DE NEUROCIENCIAS E BIOLOGIACELULAR ASSOCIACAO
Call Details Starting Grant (StG), PE8, ERC-2012-StG_20111012
Summary The advent of molecular reprogramming and the associated opportunities for personalised and therapeutic medicine requires the development of novel systems for on-demand delivery of reprogramming factors into cells in order to modulate their activity/identity. Such triggerable systems should allow precise control of the timing, duration, magnitude and spatial release of the reprogramming factors. Furthermore, the system should allow this control even in vivo, using non-invasive means. The present project aims at developing triggerable systems able to release efficiently reprogramming factors on demand. The potential of this technology will be tested in two settings: (i) in the reprogramming of somatic cells in vitro, and (ii) in the improvement of hematopoietic stem cell engraftment in vivo, at the bone marrow. The proposed research involves a team formed by engineers, chemists, biologists and is highly multidisciplinary in nature encompassing elements of engineering, chemistry, system biology, stem cell technology and nanomedicine.
Summary
The advent of molecular reprogramming and the associated opportunities for personalised and therapeutic medicine requires the development of novel systems for on-demand delivery of reprogramming factors into cells in order to modulate their activity/identity. Such triggerable systems should allow precise control of the timing, duration, magnitude and spatial release of the reprogramming factors. Furthermore, the system should allow this control even in vivo, using non-invasive means. The present project aims at developing triggerable systems able to release efficiently reprogramming factors on demand. The potential of this technology will be tested in two settings: (i) in the reprogramming of somatic cells in vitro, and (ii) in the improvement of hematopoietic stem cell engraftment in vivo, at the bone marrow. The proposed research involves a team formed by engineers, chemists, biologists and is highly multidisciplinary in nature encompassing elements of engineering, chemistry, system biology, stem cell technology and nanomedicine.
Max ERC Funding
1 699 320 €
Duration
Start date: 2012-11-01, End date: 2017-10-31
Project acronym NEW_FUN
Project New era of printed paper electronics based on advanced functional cellulose
Researcher (PI) Luis Miguel Nunes Pereira
Host Institution (HI) NOVA ID FCT - ASSOCIACAO PARA A INOVACAO E DESENVOLVIMENTO DA FCT
Call Details Starting Grant (StG), PE8, ERC-2014-STG
Summary Fully recyclable and low cost electronic goods are still far from reality. My interest is in creating environmental friendly advanced functional materials and processes able to result in new class of paper based electronic products. This represents a reborn of the paper millenary industry for a plethora of low cost, recyclable and disposable electronics, putting Europe in the front line of a new era of consumer electronics.
While the vision of the proposal is a very ambitious one, my ground-breaking research work to date related with oxide based transistors on paper (from which I am one of the co-inventors) has contributed to the basic technological breakthroughs needed to create the key elements to establish a new era of paper electronics. Field effect transistors (FETs), memory and CMOS devices, with excellent electronic performance and using paper as substrate and dielectric have resulted from my recent work. What I am proposing now is to reinvent the concept of paper electronics. In NEW_FUN I want to develop a completely new and disruptive approach where functionalized cellulose fibers will be used not only as dielectric but also as semiconductor and conductor able to coexist in a multilayer paper structure. That is, assembling paper that can have different functionalities locally, on each face or even along its entire thickness/bulk. This way issues such as failure under bending, mechanical robustness and stability can be minimized. Doing so, electronic and electrochemical devices can be produced not only on paper but also from paper. The outputs of NEW_FUN will open the door to turn paper into a real electronic material making possible disposable/recyclable electronic products, such as smart labels/packages (e.g. food and medicine industry), sensors for air quality control (car, house and industry environments); disposable electronic devices such as bio-detection platforms, lab-on-paper systems, among others.
Summary
Fully recyclable and low cost electronic goods are still far from reality. My interest is in creating environmental friendly advanced functional materials and processes able to result in new class of paper based electronic products. This represents a reborn of the paper millenary industry for a plethora of low cost, recyclable and disposable electronics, putting Europe in the front line of a new era of consumer electronics.
While the vision of the proposal is a very ambitious one, my ground-breaking research work to date related with oxide based transistors on paper (from which I am one of the co-inventors) has contributed to the basic technological breakthroughs needed to create the key elements to establish a new era of paper electronics. Field effect transistors (FETs), memory and CMOS devices, with excellent electronic performance and using paper as substrate and dielectric have resulted from my recent work. What I am proposing now is to reinvent the concept of paper electronics. In NEW_FUN I want to develop a completely new and disruptive approach where functionalized cellulose fibers will be used not only as dielectric but also as semiconductor and conductor able to coexist in a multilayer paper structure. That is, assembling paper that can have different functionalities locally, on each face or even along its entire thickness/bulk. This way issues such as failure under bending, mechanical robustness and stability can be minimized. Doing so, electronic and electrochemical devices can be produced not only on paper but also from paper. The outputs of NEW_FUN will open the door to turn paper into a real electronic material making possible disposable/recyclable electronic products, such as smart labels/packages (e.g. food and medicine industry), sensors for air quality control (car, house and industry environments); disposable electronic devices such as bio-detection platforms, lab-on-paper systems, among others.
Max ERC Funding
1 429 719 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym TREND
Project Transparent and flexible electronics with embedded energy harvesting based on oxide nanowire devices
Researcher (PI) Pedro CANDIDO BARQUINHA
Host Institution (HI) NOVA ID FCT - ASSOCIACAO PARA A INOVACAO E DESENVOLVIMENTO DA FCT
Call Details Starting Grant (StG), PE8, ERC-2016-STG
Summary The Internet of Things is shaping the evolution of information society, requiring an increasing number of objects with embedded electronics, sensors and connectivity. This spurs the need for systems where summing to performance and low cost, multifunctionality has to be assured. In this context, TREND aims to take transparent electronics into as-of-yet unexplored levels of integration, by combining on flexible substrates transparent and high-speed nanocircuits with energy harvesting capabilities, all based on multicomponent metal oxide nanowires (NWs). For this end, sustainable and recyclable materials as ZnO, SnO2, TiO2 and Cu2O will be synthesized in different forms of heterostructured NWs, using low-temperature and low-cost solution processes. For precise positioning, NWs will be directly grow on flexible substrates using seed layers patterned by nanoimprint lithography. This will be crucial for integration in different nanotransistor structures, which will be combined into digital/analog nanocircuits following planar and 3D approaches. Energy will be provided by piezoelectric nanogenerators with innovative structures and materials. Final platform of nanocircuits+nanogenerators will make use of NW interconnects, bringing a new dimension to the systems-on-foil concept.
The research will be carried out at FCT-UNL, in a group pioneering transparent electronics. My PhD on oxide materials/devices and proven expertise on circuit integration, oxide nanostructure synthesis and nanofabrication/characterization tools will be a decisive contribute to the implementation of the proposal. TREND is an ambitious multidisciplinary project motivating advances in materials science, engineering, physics and chemistry, with impact extending from consumer electronics to health monitoring wearable devices. By promoting new ideas for practical ends, it will contribute to place Europe in the leading position of such strategic areas, where sustainability and innovation are key factors.
Summary
The Internet of Things is shaping the evolution of information society, requiring an increasing number of objects with embedded electronics, sensors and connectivity. This spurs the need for systems where summing to performance and low cost, multifunctionality has to be assured. In this context, TREND aims to take transparent electronics into as-of-yet unexplored levels of integration, by combining on flexible substrates transparent and high-speed nanocircuits with energy harvesting capabilities, all based on multicomponent metal oxide nanowires (NWs). For this end, sustainable and recyclable materials as ZnO, SnO2, TiO2 and Cu2O will be synthesized in different forms of heterostructured NWs, using low-temperature and low-cost solution processes. For precise positioning, NWs will be directly grow on flexible substrates using seed layers patterned by nanoimprint lithography. This will be crucial for integration in different nanotransistor structures, which will be combined into digital/analog nanocircuits following planar and 3D approaches. Energy will be provided by piezoelectric nanogenerators with innovative structures and materials. Final platform of nanocircuits+nanogenerators will make use of NW interconnects, bringing a new dimension to the systems-on-foil concept.
The research will be carried out at FCT-UNL, in a group pioneering transparent electronics. My PhD on oxide materials/devices and proven expertise on circuit integration, oxide nanostructure synthesis and nanofabrication/characterization tools will be a decisive contribute to the implementation of the proposal. TREND is an ambitious multidisciplinary project motivating advances in materials science, engineering, physics and chemistry, with impact extending from consumer electronics to health monitoring wearable devices. By promoting new ideas for practical ends, it will contribute to place Europe in the leading position of such strategic areas, where sustainability and innovation are key factors.
Max ERC Funding
1 500 000 €
Duration
Start date: 2017-01-01, End date: 2021-12-31
Project acronym Universal Banking
Project Universal Banking, Corporate Control and Crises
Researcher (PI) Miguel Luis Sousa De Almeida Ferreira
Host Institution (HI) FACULDADE DE ECONOMIA DA UNIVERSIDADE NOVA DE LISBOA
Call Details Starting Grant (StG), SH1, ERC-2012-StG_20111124
Summary Financial intermediaries play a vital role in providing capital to corporations. The 2007-2009 financial crisis had dramatic consequences on the organization of the financial system that led to the rise of universal banking and financial conglomerates. Financial conglomerates have been common in Europe, but the recent developments have eroded the separation of commercial and investment banking elsewhere. Financial conglomerates act as lenders but also underwrite and trade securities, have equity stakes and sit on the board of corporations, and manage mutual and pension funds that invest in corporations. These forms of corporate control by financial conglomerates are distinct in their incentives and costs and therefore can have distinct effects on non-financial corporations. We will study the effect of control by financial conglomerates on corporation’s performance, investment, financing, and corporate governance policies. A particular relevant channel through which financial conglomerates can affect firm’s policies is the credit channel. Firms establish relationships with financial conglomerates that give easier access to credit and potentially at a lower cost due to economies of scale in information collection and monitoring. There may be, however, costs to firms with a close relationship with a financial conglomerate as firms may be locked up due to an information monopoly. We will study the effects of bank-firm relationships on the loan market. In particular, we will examine the importance of these relationships for explaining differences in the cost of bank distress across firms. The hypothesis is that strong ties with banks reduce firms’ ability to substitute relationship bank loans with other sources of external finance, and therefore firms with stronger relationships could experience greater costs during financial crises. We will contribute to the understanding the consequences of shocks to the financial health of banks for nonfinancial firms.
Summary
Financial intermediaries play a vital role in providing capital to corporations. The 2007-2009 financial crisis had dramatic consequences on the organization of the financial system that led to the rise of universal banking and financial conglomerates. Financial conglomerates have been common in Europe, but the recent developments have eroded the separation of commercial and investment banking elsewhere. Financial conglomerates act as lenders but also underwrite and trade securities, have equity stakes and sit on the board of corporations, and manage mutual and pension funds that invest in corporations. These forms of corporate control by financial conglomerates are distinct in their incentives and costs and therefore can have distinct effects on non-financial corporations. We will study the effect of control by financial conglomerates on corporation’s performance, investment, financing, and corporate governance policies. A particular relevant channel through which financial conglomerates can affect firm’s policies is the credit channel. Firms establish relationships with financial conglomerates that give easier access to credit and potentially at a lower cost due to economies of scale in information collection and monitoring. There may be, however, costs to firms with a close relationship with a financial conglomerate as firms may be locked up due to an information monopoly. We will study the effects of bank-firm relationships on the loan market. In particular, we will examine the importance of these relationships for explaining differences in the cost of bank distress across firms. The hypothesis is that strong ties with banks reduce firms’ ability to substitute relationship bank loans with other sources of external finance, and therefore firms with stronger relationships could experience greater costs during financial crises. We will contribute to the understanding the consequences of shocks to the financial health of banks for nonfinancial firms.
Max ERC Funding
1 174 000 €
Duration
Start date: 2013-03-01, End date: 2018-02-28
