Project acronym 3S-BTMUC
Project Soft, Slimy, Sliding Interfaces: Biotribological Properties of Mucins and Mucus gels
Researcher (PI) Seunghwan Lee
Host Institution (HI) DANMARKS TEKNISKE UNIVERSITET
Call Details Starting Grant (StG), LS9, ERC-2010-StG_20091118
Summary Mucins are a family of high-molecular-weight glycoproteins and a major macromolecular constituent in slimy mucus gels that are covering the surface of internal biological tissues. A primary role of mucus gels in biological systems is known to be the protection and lubrication of underlying epithelial cell surfaces. This is intuitively well appreciated by both science community and the public, and yet detailed lubrication properties of mucins and mucus gels have remained largely unexplored to date. Detailed and systematic understanding of the lubrication mechanism of mucus gels is significant from many angles; firstly, lubricity of mucus gels is closely related with fundamental functions of various human organs, such as eye blinking, mastication in oral cavity, swallowing through esophagus, digestion in stomach, breathing through air way and respiratory organs, and thus often indicates the health state of those organs. Furthermore, for the application of various tissue-contacting devices or personal care products, e.g. catheters, endoscopes, and contact lenses, mucus gel layer is the first counter surface that comes into the mechanical and tribological contacts with them. Finally, remarkable lubricating performance by mucins and mucus gels in biological systems may provide many useful and possibly innovative hints in utilizing water as base lubricant for man-made engineering systems. This project thus proposes to carry out a 5 year research program focusing on exploring the lubricity of mucins and mucus gels by combining a broad range of experimental approaches in biology and tribology.
Summary
Mucins are a family of high-molecular-weight glycoproteins and a major macromolecular constituent in slimy mucus gels that are covering the surface of internal biological tissues. A primary role of mucus gels in biological systems is known to be the protection and lubrication of underlying epithelial cell surfaces. This is intuitively well appreciated by both science community and the public, and yet detailed lubrication properties of mucins and mucus gels have remained largely unexplored to date. Detailed and systematic understanding of the lubrication mechanism of mucus gels is significant from many angles; firstly, lubricity of mucus gels is closely related with fundamental functions of various human organs, such as eye blinking, mastication in oral cavity, swallowing through esophagus, digestion in stomach, breathing through air way and respiratory organs, and thus often indicates the health state of those organs. Furthermore, for the application of various tissue-contacting devices or personal care products, e.g. catheters, endoscopes, and contact lenses, mucus gel layer is the first counter surface that comes into the mechanical and tribological contacts with them. Finally, remarkable lubricating performance by mucins and mucus gels in biological systems may provide many useful and possibly innovative hints in utilizing water as base lubricant for man-made engineering systems. This project thus proposes to carry out a 5 year research program focusing on exploring the lubricity of mucins and mucus gels by combining a broad range of experimental approaches in biology and tribology.
Max ERC Funding
1 432 920 €
Duration
Start date: 2011-04-01, End date: 2016-03-31
Project acronym ENVNANO
Project Environmental Effects and Risk Evaluation of Engineered Nanoparticles
Researcher (PI) Anders Baun
Host Institution (HI) DANMARKS TEKNISKE UNIVERSITET
Call Details Starting Grant (StG), LS9, ERC-2011-StG_20101109
Summary The objective of the project Environmental Effects and Risk Evaluation of Engineered Nanoparticles (EnvNano) is to elucidate the particle specific properties that govern the ecotoxicological effects of engineered nanoparticles and in this way shift the paradigm for environmental risk assessment of nanomaterials.
While current activities in the emerging field of nano-ecotoxicology and environmental risk assessment of nanomaterials are based on the assumption that the methodologies developed for chemicals can be adapted to be applicable for nanomaterials, EnvNano has a completely different starting point: The behaviour of nanoparticles in suspension is fundamentally different from that of chemicals in on solution.
Therefore, all modifications of existing techniques that do not take this fact into account are bound to have a limited sphere of application or in the worst case to be invalid. By replacing the assumption of dissolved chemicals with a particle behaviour assumption, the traditional risk assessment paradigm will be so seriously impaired that a shift of paradigm will be needed.
EnvNano is based on the following hypotheses: 1. The ecotoxicity and bioaccumulation of engineered nanoparticles will be a function of specific physical and chemical characteristics of the nanoparticles; 2. The environmental hazards of engineered nanoparticles cannot be derived from hazard identifications of the material in other forms; 3. Existing regulatory risk assessment procedures for chemicals will not be appropriate to assess the behaviour and potential harmful effects of engineered nanoparticles on the environment.
These research hypotheses will be addressed in the four interacting research topics of EnvNano: Particle Characterization, Ecotoxicty, Bioaccumulation, and Framework for Risk Evaluation of Nanoparticles aimed to form the foundation for a movement from coefficient-based to kinetic-based environmental nanotoxicology and risk assessment.
Summary
The objective of the project Environmental Effects and Risk Evaluation of Engineered Nanoparticles (EnvNano) is to elucidate the particle specific properties that govern the ecotoxicological effects of engineered nanoparticles and in this way shift the paradigm for environmental risk assessment of nanomaterials.
While current activities in the emerging field of nano-ecotoxicology and environmental risk assessment of nanomaterials are based on the assumption that the methodologies developed for chemicals can be adapted to be applicable for nanomaterials, EnvNano has a completely different starting point: The behaviour of nanoparticles in suspension is fundamentally different from that of chemicals in on solution.
Therefore, all modifications of existing techniques that do not take this fact into account are bound to have a limited sphere of application or in the worst case to be invalid. By replacing the assumption of dissolved chemicals with a particle behaviour assumption, the traditional risk assessment paradigm will be so seriously impaired that a shift of paradigm will be needed.
EnvNano is based on the following hypotheses: 1. The ecotoxicity and bioaccumulation of engineered nanoparticles will be a function of specific physical and chemical characteristics of the nanoparticles; 2. The environmental hazards of engineered nanoparticles cannot be derived from hazard identifications of the material in other forms; 3. Existing regulatory risk assessment procedures for chemicals will not be appropriate to assess the behaviour and potential harmful effects of engineered nanoparticles on the environment.
These research hypotheses will be addressed in the four interacting research topics of EnvNano: Particle Characterization, Ecotoxicty, Bioaccumulation, and Framework for Risk Evaluation of Nanoparticles aimed to form the foundation for a movement from coefficient-based to kinetic-based environmental nanotoxicology and risk assessment.
Max ERC Funding
1 196 260 €
Duration
Start date: 2011-12-01, End date: 2016-03-31
Project acronym INNODYN
Project Integrated Analysis & Design in Nonlinear Dynamics
Researcher (PI) Jakob Søndergaard Jensen
Host Institution (HI) DANMARKS TEKNISKE UNIVERSITET
Call Details Starting Grant (StG), PE8, ERC-2011-StG_20101014
Summary Imagine lighter and more fuel economic cars with improved crashworthiness that help save lives, aircrafts and wind-turbine blades with significant weight reductions that lead to large savings in material costs and environmental impact, and light but efficient armour that helps to protect against potentially deadly blasts. These are the future perspectives with a new generation of advanced structures and micro-structured materials.
The goal of INNODYN is to bring current design procedures for structures and materials a significant step forward by developing new efficient procedures for integrated analysis and design taking the nonlinear dynamic performance into account. The assessment of nonlinear dynamic effects is essential for fully exploiting the vast potentials of structural and material capabilities, but a focused endeavour is strongly required to develop the methodology required to reach the ambitious goals.
INNODYN will in two interacting work-packages develop the necessary computational analysis and design tools using
1) reduced-order models (WP1) that enable optimization of the overall topology of structures which is today hindered by excessive computational costs when dealing with nonlinear dynamic systems
2) multi-scale models (WP2) that facilitates topological design of the material microstructure including essential nonlinear geometrical effects currently not included in state-of-the-art methods.
The work will be carried out by a research group with two PhD-students and a postdoc, led by a PI with a track-record for original ground-breaking research in analysis and optimization of linear and nonlinear dynamics and hosted by one of the world's leading research groups on topology optimization, the TOPOPT group at the Technical University of Denmark.
Summary
Imagine lighter and more fuel economic cars with improved crashworthiness that help save lives, aircrafts and wind-turbine blades with significant weight reductions that lead to large savings in material costs and environmental impact, and light but efficient armour that helps to protect against potentially deadly blasts. These are the future perspectives with a new generation of advanced structures and micro-structured materials.
The goal of INNODYN is to bring current design procedures for structures and materials a significant step forward by developing new efficient procedures for integrated analysis and design taking the nonlinear dynamic performance into account. The assessment of nonlinear dynamic effects is essential for fully exploiting the vast potentials of structural and material capabilities, but a focused endeavour is strongly required to develop the methodology required to reach the ambitious goals.
INNODYN will in two interacting work-packages develop the necessary computational analysis and design tools using
1) reduced-order models (WP1) that enable optimization of the overall topology of structures which is today hindered by excessive computational costs when dealing with nonlinear dynamic systems
2) multi-scale models (WP2) that facilitates topological design of the material microstructure including essential nonlinear geometrical effects currently not included in state-of-the-art methods.
The work will be carried out by a research group with two PhD-students and a postdoc, led by a PI with a track-record for original ground-breaking research in analysis and optimization of linear and nonlinear dynamics and hosted by one of the world's leading research groups on topology optimization, the TOPOPT group at the Technical University of Denmark.
Max ERC Funding
823 992 €
Duration
Start date: 2012-02-01, End date: 2016-01-31
Project acronym LOWLANDS
Project Parsing low-resource languages and domains
Researcher (PI) Anders Søgaard
Host Institution (HI) KOBENHAVNS UNIVERSITET
Call Details Starting Grant (StG), SH4, ERC-2012-StG_20111124
Summary "There are noticeable asymmetries in availability of high-quality natural language processing (NLP). We can adequately summarize English newspapers and translate them into Korean, but we cannot translate Korean newspaper articles into English, and summarizing micro-blogs is much more difficult than summarizing newspaper articles. This is a fundamental problem for modern societies, their development and democracy, as well as perhaps the most important research problem in NLP right now.
Most NLP technologies rely on highly accurate syntactic parsing. Reliable parsing models can be induced from large collections of manually annotated data, but such collections are typically limited to sampled newswire in major languages. Highly accurate parsing is therefore not available for other languages and other domains.
The NLP community is well aware of this problem, but unsupervised techniques that do not rely on manually annotated data cannot be used for real-world applications, where highly accurate parsing is needed, and sample bias correction methods that automatically correct the bias in newswire when parsing, say, micro-blogs, do not yet lead to robust improvements across the board.
The objective of this project is to develop new learning methods for parsing natural language for which no unbiased labeled data exists. In order to do so, we need to fundamentally rethink the unsupervised parsing problem, including how we evaluate unsupervised parsers, but we also need to supplement unsupervised learning techniques with robust methods for automatically correcting sample selection biases in related data. Such methods will be applicable to both cross-domain and cross-language syntactic parsing and will pave the way toward robust and scalable NLP. The societal impact of robust and scalable NLP is unforeseeable and comparable to how efficient information retrieval techniques have revolutionized modern societies."
Summary
"There are noticeable asymmetries in availability of high-quality natural language processing (NLP). We can adequately summarize English newspapers and translate them into Korean, but we cannot translate Korean newspaper articles into English, and summarizing micro-blogs is much more difficult than summarizing newspaper articles. This is a fundamental problem for modern societies, their development and democracy, as well as perhaps the most important research problem in NLP right now.
Most NLP technologies rely on highly accurate syntactic parsing. Reliable parsing models can be induced from large collections of manually annotated data, but such collections are typically limited to sampled newswire in major languages. Highly accurate parsing is therefore not available for other languages and other domains.
The NLP community is well aware of this problem, but unsupervised techniques that do not rely on manually annotated data cannot be used for real-world applications, where highly accurate parsing is needed, and sample bias correction methods that automatically correct the bias in newswire when parsing, say, micro-blogs, do not yet lead to robust improvements across the board.
The objective of this project is to develop new learning methods for parsing natural language for which no unbiased labeled data exists. In order to do so, we need to fundamentally rethink the unsupervised parsing problem, including how we evaluate unsupervised parsers, but we also need to supplement unsupervised learning techniques with robust methods for automatically correcting sample selection biases in related data. Such methods will be applicable to both cross-domain and cross-language syntactic parsing and will pave the way toward robust and scalable NLP. The societal impact of robust and scalable NLP is unforeseeable and comparable to how efficient information retrieval techniques have revolutionized modern societies."
Max ERC Funding
1 126 183 €
Duration
Start date: 2013-01-01, End date: 2017-12-31
Project acronym MINDREHAB
Project Consciousness In basic Science And Neurorehabilitation
Researcher (PI) Morten Overgaard
Host Institution (HI) AARHUS UNIVERSITET
Call Details Starting Grant (StG), SH4, ERC-2009-StG
Summary This project studies the topic of human consciousness from a multidisciplinary perspective. Human consciousness can be defined as the inner subjective experience of mental states such as perceptions, judgments, thoughts, intentions to act, feelings or desires. These experiences are to be described from a subjective, phenomenal first-person account. On the other hand, cognitive neurosciences explore the neural correlates with respect to brain topology and brain dynamics from an objective third-person account.
Despite a great interest in consciousness among cognitive neuroscientists, there are yet no general agreement on definitions or models, and no attempts to draw conclusions from the existing body of work to make progress in the treatment of patients. While it is generally the case that research in cognitive neuroscience has a minimal influence on clinical work in neurorehabilitation, this is very much the case in consciousness studies. Here, so far, there is no direct connection to clinical practice
MindRehab will make use of an integrated approach to find new ways to understand cognitive dysfunctions and to actually rehabilitate patients with cognitive problems after brain injury. This integrated approach, using consciousness studies to create progress in a clinical area, is novel and does not exist as an explicit goal for any other research group in the world. The objective of MindRehab is to integrate three aspects: Philosophy and basic research on consciousness, and clinical work in neurorehabilitation. Furthermore, the objective is to realize a number of research projects leading to novel contributions at the frontier of all three domains. However, contrary to all other current research projects in this field, the emphasis is put on the latter the clinical work.
Summary
This project studies the topic of human consciousness from a multidisciplinary perspective. Human consciousness can be defined as the inner subjective experience of mental states such as perceptions, judgments, thoughts, intentions to act, feelings or desires. These experiences are to be described from a subjective, phenomenal first-person account. On the other hand, cognitive neurosciences explore the neural correlates with respect to brain topology and brain dynamics from an objective third-person account.
Despite a great interest in consciousness among cognitive neuroscientists, there are yet no general agreement on definitions or models, and no attempts to draw conclusions from the existing body of work to make progress in the treatment of patients. While it is generally the case that research in cognitive neuroscience has a minimal influence on clinical work in neurorehabilitation, this is very much the case in consciousness studies. Here, so far, there is no direct connection to clinical practice
MindRehab will make use of an integrated approach to find new ways to understand cognitive dysfunctions and to actually rehabilitate patients with cognitive problems after brain injury. This integrated approach, using consciousness studies to create progress in a clinical area, is novel and does not exist as an explicit goal for any other research group in the world. The objective of MindRehab is to integrate three aspects: Philosophy and basic research on consciousness, and clinical work in neurorehabilitation. Furthermore, the objective is to realize a number of research projects leading to novel contributions at the frontier of all three domains. However, contrary to all other current research projects in this field, the emphasis is put on the latter the clinical work.
Max ERC Funding
1 641 232 €
Duration
Start date: 2010-06-01, End date: 2015-05-31
Project acronym miPDesign
Project Designing microProteins to alter growth processes in crop plants
Researcher (PI) Stephan Wenkel
Host Institution (HI) KOBENHAVNS UNIVERSITET
Call Details Starting Grant (StG), LS9, ERC-2013-StG
Summary The directed control of protein activity plays a crucial role in the regulation of growth and development of multicellular organisms. Different post-translational control mechanisms are known to influence the activity of proteins. Here, I am proposing a novel way to control the activity of proteins that function as multimeric complexes. MicroProteins, are small single-domain protein species that can influence target proteins by sequestering them into non-productive protein complexes. I have developed the concept of microProtein function and subsequently started to identify novel microProtein regulators in the model plant Arabidopsis. The aim of this proposal is to use the microProtein concept and build synthetic microProtein modules in economical import crop plants. By combining synthetic biology approaches with modern plant breeding, we intent to re-wire plant development and alter the flowering behaviour of rice. In addition, we will use a combination of artificial microProteins and microProtein-resistant transcription factors to modify the inclination angle of leaves in rice and the bioenergy model species Brachypodium distachion. Modification of the leaf angle will allow us to grow crops at higher densities, thus having the potential to increase both biomass and seed production per acreage. Finally, we aim to identify novel, evolutionary conserved microProtein-modules and unravel the mechanism of microProtein function, to study their role in plant development and adaptation.
Summary
The directed control of protein activity plays a crucial role in the regulation of growth and development of multicellular organisms. Different post-translational control mechanisms are known to influence the activity of proteins. Here, I am proposing a novel way to control the activity of proteins that function as multimeric complexes. MicroProteins, are small single-domain protein species that can influence target proteins by sequestering them into non-productive protein complexes. I have developed the concept of microProtein function and subsequently started to identify novel microProtein regulators in the model plant Arabidopsis. The aim of this proposal is to use the microProtein concept and build synthetic microProtein modules in economical import crop plants. By combining synthetic biology approaches with modern plant breeding, we intent to re-wire plant development and alter the flowering behaviour of rice. In addition, we will use a combination of artificial microProteins and microProtein-resistant transcription factors to modify the inclination angle of leaves in rice and the bioenergy model species Brachypodium distachion. Modification of the leaf angle will allow us to grow crops at higher densities, thus having the potential to increase both biomass and seed production per acreage. Finally, we aim to identify novel, evolutionary conserved microProtein-modules and unravel the mechanism of microProtein function, to study their role in plant development and adaptation.
Max ERC Funding
1 443 320 €
Duration
Start date: 2013-12-01, End date: 2018-11-30
Project acronym OscillatoryVision
Project The retinae as windows to the brain: An oscillatory vision
Researcher (PI) Sarang Suresh Dalal
Host Institution (HI) AARHUS UNIVERSITET
Call Details Starting Grant (StG), SH4, ERC-2014-STG
Summary Several sophisticated image processing circuits have been discovered in the animal retina, many of which manifest massive neural synchrony. A major insight is that this type of synchrony often translates to high-frequency activity on a macroscopic level, but electroretinography (ERG) has not been tapped to examine this potential in humans. Bolstered by our compelling results combining ERG with magnetoencephalography (MEG), this project will address several open questions with respect to human visual processing:
1) Could variable retinal timing be linked to intrinsic image properties and pass on phase variance downstream to visual cortex? Our data suggests the retina responds to moving gratings and natural imagery with non-phase-locked high gamma oscillations (>65 Hz) just like visual cortex, and that slower ERG potentials exhibit strong phase-locking within stimuli but large phase variance across stimuli.
2) Do such retinal gamma band responses, both evoked and induced, directly drive some cortical gamma responses? Pilot data suggests that it can, through retinocortical coherence, our novel ERG-MEG mapping technique.
3) Several kinds of motion have now been shown to elicit massive synchrony in mammalian retina circuits. Does this also result in macroscopic high-frequency activity? If so, our experiments will finally reveal and characterize motion detection by the human retina.
4) Do efferent pathways to the retina exist in humans? We discovered that the ERG exhibits eyes-closed alpha waves strikingly similar to the classic EEG phenomenon and, leveraging our retinocortical coherence technique, that this activity is likely driven by contralateral occipital cortex. Then, can retinal responses be influenced by ongoing cortical activity?
Characterizing retinocortical interaction represents a complete paradigm shift that will be imperative for our understanding of neural synchrony in the human nervous system and enable several groundbreaking new avenues for research.
Summary
Several sophisticated image processing circuits have been discovered in the animal retina, many of which manifest massive neural synchrony. A major insight is that this type of synchrony often translates to high-frequency activity on a macroscopic level, but electroretinography (ERG) has not been tapped to examine this potential in humans. Bolstered by our compelling results combining ERG with magnetoencephalography (MEG), this project will address several open questions with respect to human visual processing:
1) Could variable retinal timing be linked to intrinsic image properties and pass on phase variance downstream to visual cortex? Our data suggests the retina responds to moving gratings and natural imagery with non-phase-locked high gamma oscillations (>65 Hz) just like visual cortex, and that slower ERG potentials exhibit strong phase-locking within stimuli but large phase variance across stimuli.
2) Do such retinal gamma band responses, both evoked and induced, directly drive some cortical gamma responses? Pilot data suggests that it can, through retinocortical coherence, our novel ERG-MEG mapping technique.
3) Several kinds of motion have now been shown to elicit massive synchrony in mammalian retina circuits. Does this also result in macroscopic high-frequency activity? If so, our experiments will finally reveal and characterize motion detection by the human retina.
4) Do efferent pathways to the retina exist in humans? We discovered that the ERG exhibits eyes-closed alpha waves strikingly similar to the classic EEG phenomenon and, leveraging our retinocortical coherence technique, that this activity is likely driven by contralateral occipital cortex. Then, can retinal responses be influenced by ongoing cortical activity?
Characterizing retinocortical interaction represents a complete paradigm shift that will be imperative for our understanding of neural synchrony in the human nervous system and enable several groundbreaking new avenues for research.
Max ERC Funding
1 499 850 €
Duration
Start date: 2016-03-01, End date: 2021-02-28
Project acronym SOCRATES
Project Serial Optical Communications for Advanced Terabit Ethernet Systems
Researcher (PI) Leif Katsuo Oxenløwe
Host Institution (HI) DANMARKS TEKNISKE UNIVERSITET
Call Details Starting Grant (StG), PE7, ERC-2009-StG
Summary The last two decades has seen an explosion in telecommunication bandwidth, a trend which has never ceased. Another current trend is the growing concern for the environmental footprint humankind is leaving due to various industries. The Internet traffic grows roughly by 60% per year, and internet servers today consume about 2% of the total global electric power consumption corresponding to a CO2 emission approaching 1% of the total emission caused by human beings. These trends have made it very clear that it is imperative to develop new technologies that can accommodate for the ever growing bandwidth demand and reduce power consumption. The key issue for modern telecommunication engineers and designers is no longer cost per bit, but power per bit. Using optical methods for carrying data and processing the data, without opto-to-electrical conversion, so-called all-optical methods, may help in this respect. This project will aim at developing an all-optical power-efficient communication scenario based on serial optical communications. In serial communications, fewer components will in general be used, and with ultra-short pulses, very high bit rates will become available. Historically, increases in the serial data rate have lead to cost savings, due to reduced complexity in management, reduced power consumption and a reduced number of components. We believe this will hold true, and will explore the fundamental physical limits of serial communications to reach the ultimate serial bit rate, and develop network scenarios to fully take advantage of the serial nature of the data, whilst maintaining a focus on limiting the power consumption. In particular we want to design network scenarios for optical serial multi-Tbit/s data and additionally build a 1 Tbit/s optical Ethernet scenario. We will develop stable ultra-fast switches , and mature them for a variety of functionalities, eventually leading to a validation of ultra-high-speed serial optical communication systems.
Summary
The last two decades has seen an explosion in telecommunication bandwidth, a trend which has never ceased. Another current trend is the growing concern for the environmental footprint humankind is leaving due to various industries. The Internet traffic grows roughly by 60% per year, and internet servers today consume about 2% of the total global electric power consumption corresponding to a CO2 emission approaching 1% of the total emission caused by human beings. These trends have made it very clear that it is imperative to develop new technologies that can accommodate for the ever growing bandwidth demand and reduce power consumption. The key issue for modern telecommunication engineers and designers is no longer cost per bit, but power per bit. Using optical methods for carrying data and processing the data, without opto-to-electrical conversion, so-called all-optical methods, may help in this respect. This project will aim at developing an all-optical power-efficient communication scenario based on serial optical communications. In serial communications, fewer components will in general be used, and with ultra-short pulses, very high bit rates will become available. Historically, increases in the serial data rate have lead to cost savings, due to reduced complexity in management, reduced power consumption and a reduced number of components. We believe this will hold true, and will explore the fundamental physical limits of serial communications to reach the ultimate serial bit rate, and develop network scenarios to fully take advantage of the serial nature of the data, whilst maintaining a focus on limiting the power consumption. In particular we want to design network scenarios for optical serial multi-Tbit/s data and additionally build a 1 Tbit/s optical Ethernet scenario. We will develop stable ultra-fast switches , and mature them for a variety of functionalities, eventually leading to a validation of ultra-high-speed serial optical communication systems.
Max ERC Funding
1 518 387 €
Duration
Start date: 2009-09-01, End date: 2014-08-31
Project acronym UniEqTURB
Project Universal Equilibrium and Beyond - Challenging the Richardson-Kolmogorov Paradigm
Researcher (PI) Clara VELTE
Host Institution (HI) DANMARKS TEKNISKE UNIVERSITET
Call Details Starting Grant (StG), PE8, ERC-2018-STG
Summary Turbulence is at a crossroads: The old, established ideas of Richardson and Kolmogorov have with accumulating evidence come under renewed scrutiny, especially in non-stationary and non-equilibrium flows. Many in the community seek new and more accurate ways to describe turbulence. This is a time of re-evaluation and opportunity!
The assumed statistical equilibrium of the smallest and intermediate scales is identified as the main cause of the potentially erroneous deductions. This problem was not previously noticed because experiments that confirmed the previous theories were all in statistical equilibrium. And those experiments and theories which disagreed were labelled ‘anomalous’, no matter how carefully performed or argued.
The proposed theory-intensive approach will therefore specifically use non-equilibrium and statistically non-stationary flows to:
1. Investigate the underlying mechanisms determining the level of dissipation
2. Quantify the resulting effects on the balance equations of central importance
3. Test the results against the established, as well as competing, theories
I will use stationary and accelerating jets well-suited for studying the non-linear interactions and quantifying departures to the assumed equilibrium and the non-stationary dissipation. The feasibility is demonstrated with preliminary results. The databases which will be established should contribute substantially to settling the long-lived ultimate question of turbulence: what are the true underlying mechanisms that set the level of dissipation.
The results will be ground breaking scientifically and economically. The impact for engineering applications is extensive, since Kolmogorov-based turbulence models are routinely used, and since developing flows constitute the rule rather than the exception in the majority of engineering applications. The potential economic consequences for e.g. transportation, climate predictions and power extraction are impossible to underestimate.
Summary
Turbulence is at a crossroads: The old, established ideas of Richardson and Kolmogorov have with accumulating evidence come under renewed scrutiny, especially in non-stationary and non-equilibrium flows. Many in the community seek new and more accurate ways to describe turbulence. This is a time of re-evaluation and opportunity!
The assumed statistical equilibrium of the smallest and intermediate scales is identified as the main cause of the potentially erroneous deductions. This problem was not previously noticed because experiments that confirmed the previous theories were all in statistical equilibrium. And those experiments and theories which disagreed were labelled ‘anomalous’, no matter how carefully performed or argued.
The proposed theory-intensive approach will therefore specifically use non-equilibrium and statistically non-stationary flows to:
1. Investigate the underlying mechanisms determining the level of dissipation
2. Quantify the resulting effects on the balance equations of central importance
3. Test the results against the established, as well as competing, theories
I will use stationary and accelerating jets well-suited for studying the non-linear interactions and quantifying departures to the assumed equilibrium and the non-stationary dissipation. The feasibility is demonstrated with preliminary results. The databases which will be established should contribute substantially to settling the long-lived ultimate question of turbulence: what are the true underlying mechanisms that set the level of dissipation.
The results will be ground breaking scientifically and economically. The impact for engineering applications is extensive, since Kolmogorov-based turbulence models are routinely used, and since developing flows constitute the rule rather than the exception in the majority of engineering applications. The potential economic consequences for e.g. transportation, climate predictions and power extraction are impossible to underestimate.
Max ERC Funding
1 499 036 €
Duration
Start date: 2019-04-01, End date: 2024-03-31
Project acronym YEAST-TRANS
Project Deciphering the transport mechanisms of small xenobiotic molecules in synthetic yeast cell factories
Researcher (PI) Irina BORODINA
Host Institution (HI) DANMARKS TEKNISKE UNIVERSITET
Call Details Starting Grant (StG), LS9, ERC-2017-STG
Summary Industrial biotechnology employs synthetic cell factories to create bulk and fine chemicals and fuels from renewable resources, laying the basis for the future bio-based economy. The major part of the wanted bio-based chemicals are not native to the host cell, such as yeast, i.e. they are xenobiotic. Some xenobiotic compounds are readily secreted by synthetic cells, some are poorly secreted and some are not secreted at all, but how does this transport occur? Or why does it not occur? These fundamental questions remain to be answered and this will have great implications on industrial biotechnology, because improved secretion would bring down the production costs and enable the emergence of novel bio-based products.
YEAST-TRANS will fill in this knowledge gap by carrying out the first systematic genome-scale transporter study to uncover the transport mechanisms of small xenobiotic molecules by synthetic yeast cells and to apply this knowledge for engineering more efficient cell factories for bio-based production of fuels and chemicals.
Summary
Industrial biotechnology employs synthetic cell factories to create bulk and fine chemicals and fuels from renewable resources, laying the basis for the future bio-based economy. The major part of the wanted bio-based chemicals are not native to the host cell, such as yeast, i.e. they are xenobiotic. Some xenobiotic compounds are readily secreted by synthetic cells, some are poorly secreted and some are not secreted at all, but how does this transport occur? Or why does it not occur? These fundamental questions remain to be answered and this will have great implications on industrial biotechnology, because improved secretion would bring down the production costs and enable the emergence of novel bio-based products.
YEAST-TRANS will fill in this knowledge gap by carrying out the first systematic genome-scale transporter study to uncover the transport mechanisms of small xenobiotic molecules by synthetic yeast cells and to apply this knowledge for engineering more efficient cell factories for bio-based production of fuels and chemicals.
Max ERC Funding
1 423 358 €
Duration
Start date: 2017-12-01, End date: 2022-11-30