---
_id: '11432'
abstract:
- lang: eng
text: "This paper proposes a method for simulating liquids in large bodies of water
by coupling together a water surface wave simulator with a 3D Navier-Stokes simulator.
The surface wave simulation uses the equivalent sources method (ESM) to efficiently
animate large bodies of water with precisely controllable wave propagation behavior.
The 3D liquid simulator animates complex non-linear fluid behaviors like splashes
and breaking waves using off-the-shelf simulators using FLIP or the level set
method with semi-Lagrangian advection.\r\nWe combine the two approaches by using
the 3D solver to animate localized non-linear behaviors, and the 2D wave solver
to animate larger regions with linear surface physics. We use the surface motion
from the 3D solver as boundary conditions for 2D surface wave simulator, and we
use the velocity and surface heights from the 2D surface wave simulator as boundary
conditions for the 3D fluid simulation. We also introduce a novel technique for
removing visual artifacts caused by numerical errors in 3D fluid solvers: we use
experimental data to estimate the artificial dispersion caused by the 3D solver
and we then carefully tune the wave speeds of the 2D solver to match it, effectively
eliminating any differences in wave behavior across the boundary. To the best
of our knowledge, this is the first time such a empirically driven error compensation
approach has been used to remove coupling errors from a physics simulator.\r\nOur
coupled simulation approach leverages the strengths of each simulation technique,
animating large environments with seamless transitions between 2D and 3D physics."
acknowledged_ssus:
- _id: ScienComp
acknowledgement: We wish to thank the anonymous reviewers and the members of the Visual
Computing Group at IST Austria and MFX Team at INRIA for their valuable feedback.
This research was supported by the Scientific Service Units (SSU) of IST Austria
through resources provided by Scientific Computing. This project has received funding
from the European Research Council (ERC) under the European Union’s Horizon 2020
research and innovation programme under grant agreement No. 638176.
article_processing_charge: No
article_type: original
author:
- first_name: Camille
full_name: Schreck, Camille
id: 2B14B676-F248-11E8-B48F-1D18A9856A87
last_name: Schreck
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: Schreck C, Wojtan C. Coupling 3D liquid simulation with 2D wave propagation
for large scale water surface animation using the equivalent sources method. Computer
Graphics Forum. 2022;41(2):343-353. doi:10.1111/cgf.14478
apa: Schreck, C., & Wojtan, C. (2022). Coupling 3D liquid simulation with 2D
wave propagation for large scale water surface animation using the equivalent
sources method. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.14478
chicago: Schreck, Camille, and Chris Wojtan. “Coupling 3D Liquid Simulation with
2D Wave Propagation for Large Scale Water Surface Animation Using the Equivalent
Sources Method.” Computer Graphics Forum. Wiley, 2022. https://doi.org/10.1111/cgf.14478.
ieee: C. Schreck and C. Wojtan, “Coupling 3D liquid simulation with 2D wave propagation
for large scale water surface animation using the equivalent sources method,”
Computer Graphics Forum, vol. 41, no. 2. Wiley, pp. 343–353, 2022.
ista: Schreck C, Wojtan C. 2022. Coupling 3D liquid simulation with 2D wave propagation
for large scale water surface animation using the equivalent sources method. Computer
Graphics Forum. 41(2), 343–353.
mla: Schreck, Camille, and Chris Wojtan. “Coupling 3D Liquid Simulation with 2D
Wave Propagation for Large Scale Water Surface Animation Using the Equivalent
Sources Method.” Computer Graphics Forum, vol. 41, no. 2, Wiley, 2022,
pp. 343–53, doi:10.1111/cgf.14478.
short: C. Schreck, C. Wojtan, Computer Graphics Forum 41 (2022) 343–353.
corr_author: '1'
date_created: 2022-06-05T22:01:49Z
date_published: 2022-05-01T00:00:00Z
date_updated: 2024-10-22T09:58:19Z
day: '01'
department:
- _id: ChWo
doi: 10.1111/cgf.14478
ec_funded: 1
external_id:
isi:
- '000802723900027'
intvolume: ' 41'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://hal.archives-ouvertes.fr/hal-03641349/
month: '05'
oa: 1
oa_version: Submitted Version
page: 343-353
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '638176'
name: 'Big Splash: Efficient Simulation of Natural Phenomena at Extremely Large
Scales'
publication: Computer Graphics Forum
publication_identifier:
eissn:
- 1467-8659
issn:
- 0167-7055
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Coupling 3D liquid simulation with 2D wave propagation for large scale water
surface animation using the equivalent sources method
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 41
year: '2022'
...
---
_id: '11469'
abstract:
- lang: eng
text: Thermalizing and localized many-body quantum systems present two distinct
dynamical phases of matter. Recently the fate of a localized system coupled to
a thermalizing system viewed as a quantum bath received significant theoretical
and experimental attention. In this work, we study a mobile impurity, representing
a small quantum bath, that interacts locally with an Anderson insulator with a
finite density of localized particles. Using static Hartree approximation to obtain
an effective disorder strength, we formulate an analytic criterion for the perturbative
stability of the localization. Next, we use an approximate dynamical Hartree method
and the quasi-exact time-evolved block decimation (TEBD) algorithm to study the
dynamics of the system. We find that the dynamical Hartree approach which completely
ignores entanglement between the impurity and localized particles predicts the
delocalization of the system. In contrast, the full numerical simulation of the
unitary dynamics with TEBD suggests the stability of localization on numerically
accessible timescales. Finally, using an extension of the density matrix renormalization
group algorithm to excited states (DMRG-X), we approximate the highly excited
eigenstates of the system. We find that the impurity remains localized in the
eigenstates and entanglement is enhanced in a finite region around the position
of the impurity, confirming the dynamical predictions. Dynamics and the DMRG-X
results provide compelling evidence for the stability of localization.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: We thank M. Ljubotina for insightful discussions. P. B., A. M. and
M. S. acknowledge support by the European Research Council (ERC) under the European
Union’s Horizon 2020 research and innovation program (Grant Agreement No. 850899).
D. A. was supported by the Swiss National Science Foundation and by the European
Research Council (ERC) under the European Union’s Horizon 2020 research and innovation
program (Grant Agreement No. 864597). The development of parallel TEBD code was
supported by S. Elefante from the Scientific Computing (SciComp) that is part of
Scientific Service Units (SSU) of IST Austria. Some of the computations were performed
on the Baobab cluster of the University of Geneva.
article_number: '224208'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Pietro
full_name: Brighi, Pietro
id: 4115AF5C-F248-11E8-B48F-1D18A9856A87
last_name: Brighi
orcid: 0000-0002-7969-2729
- first_name: Alexios
full_name: Michailidis, Alexios
id: 36EBAD38-F248-11E8-B48F-1D18A9856A87
last_name: Michailidis
orcid: 0000-0002-8443-1064
- first_name: Kristina
full_name: Kirova, Kristina
id: 4aeda2ae-f847-11ec-98e0-c4a66fe174d4
last_name: Kirova
- first_name: Dmitry A.
full_name: Abanin, Dmitry A.
last_name: Abanin
- first_name: Maksym
full_name: Serbyn, Maksym
id: 47809E7E-F248-11E8-B48F-1D18A9856A87
last_name: Serbyn
orcid: 0000-0002-2399-5827
citation:
ama: Brighi P, Michailidis A, Kirova K, Abanin DA, Serbyn M. Localization of a mobile
impurity interacting with an Anderson insulator. Physical Review B. 2022;105(22).
doi:10.1103/physrevb.105.224208
apa: Brighi, P., Michailidis, A., Kirova, K., Abanin, D. A., & Serbyn, M. (2022).
Localization of a mobile impurity interacting with an Anderson insulator. Physical
Review B. American Physical Society. https://doi.org/10.1103/physrevb.105.224208
chicago: Brighi, Pietro, Alexios Michailidis, Kristina Kirova, Dmitry A. Abanin,
and Maksym Serbyn. “Localization of a Mobile Impurity Interacting with an Anderson
Insulator.” Physical Review B. American Physical Society, 2022. https://doi.org/10.1103/physrevb.105.224208.
ieee: P. Brighi, A. Michailidis, K. Kirova, D. A. Abanin, and M. Serbyn, “Localization
of a mobile impurity interacting with an Anderson insulator,” Physical Review
B, vol. 105, no. 22. American Physical Society, 2022.
ista: Brighi P, Michailidis A, Kirova K, Abanin DA, Serbyn M. 2022. Localization
of a mobile impurity interacting with an Anderson insulator. Physical Review B.
105(22), 224208.
mla: Brighi, Pietro, et al. “Localization of a Mobile Impurity Interacting with
an Anderson Insulator.” Physical Review B, vol. 105, no. 22, 224208, American
Physical Society, 2022, doi:10.1103/physrevb.105.224208.
short: P. Brighi, A. Michailidis, K. Kirova, D.A. Abanin, M. Serbyn, Physical Review
B 105 (2022).
corr_author: '1'
date_created: 2022-06-29T20:19:51Z
date_published: 2022-06-27T00:00:00Z
date_updated: 2026-04-07T13:26:31Z
day: '27'
department:
- _id: MaSe
doi: 10.1103/physrevb.105.224208
ec_funded: 1
external_id:
arxiv:
- '2111.08603'
isi:
- '000823050000001'
intvolume: ' 105'
isi: 1
issue: '22'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: ' https://doi.org/10.48550/arXiv.2111.08603'
month: '06'
oa: 1
oa_version: Preprint
project:
- _id: 23841C26-32DE-11EA-91FC-C7463DDC885E
call_identifier: H2020
grant_number: '850899'
name: 'Non-Ergodic Quantum Matter: Universality, Dynamics and Control'
publication: Physical Review B
publication_identifier:
eissn:
- 2469-9969
issn:
- 2469-9950
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
related_material:
record:
- id: '12732'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Localization of a mobile impurity interacting with an Anderson insulator
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 105
year: '2022'
...
---
_id: '11470'
abstract:
- lang: eng
text: Many-body localization (MBL) is an example of a dynamical phase of matter
that avoids thermalization. While the MBL phase is robust to weak local perturbations,
the fate of an MBL system coupled to a thermalizing quantum system that represents
a “heat bath” is an open question that is actively investigated theoretically
and experimentally. In this work, we consider the stability of an Anderson insulator
with a finite density of particles interacting with a single mobile impurity—a
small quantum bath. We give perturbative arguments that support the stability
of localization in the strong interaction regime. Large-scale tensor network simulations
of dynamics are employed to corroborate the presence of the localized phase and
give quantitative predictions in the thermodynamic limit. We develop a phenomenological
description of the dynamics in the strong interaction regime, and we demonstrate
that the impurity effectively turns the Anderson insulator into an MBL phase,
giving rise to nontrivial entanglement dynamics well captured by our phenomenology.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: We acknowledge useful discussions with M. Ljubotina. P. B., A. M.,
and M. S. were supported by the European Research Council (ERC) under the European
Union’s Horizon 2020 research and innovation program (Grant Agreement No. 850899).
D.A. was supported by the Swiss National Science Foundation and by the European
Research Council (ERC) under the European Union’s Horizon 2020 research and innovation
program (Grant Agreement No. 864597). The development of parallel TEBD code was
was supported by S. Elefante from the Scientific Computing (SciComp) that is part
of Scientific Service Units (SSU) of IST Austria. Some of the computations were
performed on the Baobab cluster of the University of Geneva.
article_number: L220203
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Pietro
full_name: Brighi, Pietro
id: 4115AF5C-F248-11E8-B48F-1D18A9856A87
last_name: Brighi
orcid: 0000-0002-7969-2729
- first_name: Alexios A.
full_name: Michailidis, Alexios A.
last_name: Michailidis
- first_name: Dmitry A.
full_name: Abanin, Dmitry A.
last_name: Abanin
- first_name: Maksym
full_name: Serbyn, Maksym
id: 47809E7E-F248-11E8-B48F-1D18A9856A87
last_name: Serbyn
orcid: 0000-0002-2399-5827
citation:
ama: Brighi P, Michailidis AA, Abanin DA, Serbyn M. Propagation of many-body localization
in an Anderson insulator. Physical Review B. 2022;105(22). doi:10.1103/physrevb.105.l220203
apa: Brighi, P., Michailidis, A. A., Abanin, D. A., & Serbyn, M. (2022). Propagation
of many-body localization in an Anderson insulator. Physical Review B.
American Physical Society. https://doi.org/10.1103/physrevb.105.l220203
chicago: Brighi, Pietro, Alexios A. Michailidis, Dmitry A. Abanin, and Maksym Serbyn.
“Propagation of Many-Body Localization in an Anderson Insulator.” Physical
Review B. American Physical Society, 2022. https://doi.org/10.1103/physrevb.105.l220203.
ieee: P. Brighi, A. A. Michailidis, D. A. Abanin, and M. Serbyn, “Propagation of
many-body localization in an Anderson insulator,” Physical Review B, vol.
105, no. 22. American Physical Society, 2022.
ista: Brighi P, Michailidis AA, Abanin DA, Serbyn M. 2022. Propagation of many-body
localization in an Anderson insulator. Physical Review B. 105(22), L220203.
mla: Brighi, Pietro, et al. “Propagation of Many-Body Localization in an Anderson
Insulator.” Physical Review B, vol. 105, no. 22, L220203, American Physical
Society, 2022, doi:10.1103/physrevb.105.l220203.
short: P. Brighi, A.A. Michailidis, D.A. Abanin, M. Serbyn, Physical Review B 105
(2022).
corr_author: '1'
date_created: 2022-06-29T20:20:47Z
date_published: 2022-06-27T00:00:00Z
date_updated: 2026-04-07T13:26:31Z
day: '27'
department:
- _id: MaSe
doi: 10.1103/physrevb.105.l220203
ec_funded: 1
external_id:
arxiv:
- '2109.07332'
isi:
- '000823050000012'
intvolume: ' 105'
isi: 1
issue: '22'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: ' https://doi.org/10.48550/arXiv.2109.07332'
month: '06'
oa: 1
oa_version: Preprint
project:
- _id: 23841C26-32DE-11EA-91FC-C7463DDC885E
call_identifier: H2020
grant_number: '850899'
name: 'Non-Ergodic Quantum Matter: Universality, Dynamics and Control'
publication: Physical Review B
publication_identifier:
eissn:
- 2469-9969
issn:
- 2469-9950
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
related_material:
record:
- id: '12732'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Propagation of many-body localization in an Anderson insulator
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 105
year: '2022'
...
---
_id: '11736'
abstract:
- lang: eng
text: "This paper introduces a methodology for inverse-modeling of yarn-level mechanics
of cloth, based on the mechanical response of fabrics in the real world. We compiled
a database from physical tests of several different knitted fabrics used in the
textile industry. These data span different types of complex knit patterns, yarn
compositions, and fabric finishes, and the results demonstrate diverse physical
properties like stiffness, nonlinearity, and anisotropy.\r\n\r\nWe then develop
a system for approximating these mechanical responses with yarn-level cloth simulation.
To do so, we introduce an efficient pipeline for converting between fabric-level
data and yarn-level simulation, including a novel swatch-level approximation for
speeding up computation, and some small-but-necessary extensions to yarn-level
models used in computer graphics. The dataset used for this paper can be found
at http://mslab.es/projects/YarnLevelFabrics."
acknowledged_ssus:
- _id: ScienComp
acknowledgement: We wish to thank the anonymous reviewers for their helpful comments.
To develop this project, we were helped by many people both at Under Armour (Clay
Dean, Randall Harward, Kyle Blakely, Craig Simile, Michael Seiz, Brooke Malone,
Brittainy McFarland, Emilie Phan, Lindsey Kern, Courtney Oswald, Haley Barkley,
Bob Chin, Adam Bayer, Connie Kwok, Marielle Newman, Nick Pence, Allison Hicks, Allison
White, Candace Rubenstein, Jeremy Stangland, Fred Fagergren, Michael Mazzoleni,
Nathaniel Berry, Manuel Frank) and SEDDI (Gabriel Cirio, Alejandro Rodríguez, Sofía
Dominguez, Alicia Nicas, Elena Garcés, Daniel Rodríguez, David Pascual, Manuel Godoy,
Sergio Suja, Sergio Ruiz, Roberto Condori, Alberto Martín, Graham Sullivan). We
also thank the members of the Visual Computing Group at IST Austria and the Multimodal
Simulation Lab at URJC for their feedback. This research was supported by the Scientific
Service Units (SSU) of IST Austria through resources provided by Scientific Computing,
and it was funded in part by the European Research Council (ERC Consolidator Grant
772738 TouchDesign).
article_number: '65'
article_processing_charge: No
article_type: original
author:
- first_name: Georg
full_name: Sperl, Georg
id: 4DD40360-F248-11E8-B48F-1D18A9856A87
last_name: Sperl
- first_name: Rosa M.
full_name: Sánchez-Banderas, Rosa M.
last_name: Sánchez-Banderas
- first_name: Manwen
full_name: Li, Manwen
last_name: Li
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
- first_name: Miguel A.
full_name: Otaduy, Miguel A.
last_name: Otaduy
citation:
ama: Sperl G, Sánchez-Banderas RM, Li M, Wojtan C, Otaduy MA. Estimation of yarn-level
simulation models for production fabrics. ACM Transactions on Graphics.
2022;41(4). doi:10.1145/3528223.3530167
apa: Sperl, G., Sánchez-Banderas, R. M., Li, M., Wojtan, C., & Otaduy, M. A.
(2022). Estimation of yarn-level simulation models for production fabrics. ACM
Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3528223.3530167
chicago: Sperl, Georg, Rosa M. Sánchez-Banderas, Manwen Li, Chris Wojtan, and Miguel
A. Otaduy. “Estimation of Yarn-Level Simulation Models for Production Fabrics.”
ACM Transactions on Graphics. Association for Computing Machinery, 2022.
https://doi.org/10.1145/3528223.3530167.
ieee: G. Sperl, R. M. Sánchez-Banderas, M. Li, C. Wojtan, and M. A. Otaduy, “Estimation
of yarn-level simulation models for production fabrics,” ACM Transactions on
Graphics, vol. 41, no. 4. Association for Computing Machinery, 2022.
ista: Sperl G, Sánchez-Banderas RM, Li M, Wojtan C, Otaduy MA. 2022. Estimation
of yarn-level simulation models for production fabrics. ACM Transactions on Graphics.
41(4), 65.
mla: Sperl, Georg, et al. “Estimation of Yarn-Level Simulation Models for Production
Fabrics.” ACM Transactions on Graphics, vol. 41, no. 4, 65, Association
for Computing Machinery, 2022, doi:10.1145/3528223.3530167.
short: G. Sperl, R.M. Sánchez-Banderas, M. Li, C. Wojtan, M.A. Otaduy, ACM Transactions
on Graphics 41 (2022).
date_created: 2022-08-07T22:01:58Z
date_published: 2022-07-22T00:00:00Z
date_updated: 2026-06-18T17:20:41Z
day: '22'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/3528223.3530167
external_id:
isi:
- '000830989200114'
intvolume: ' 41'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1145/3528223.3530167
month: '07'
oa: 1
oa_version: Published Version
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
link:
- description: News on the ISTA website
relation: press_release
url: https://ista.ac.at/en/news/digital-yarn-real-socks/
record:
- id: '12358'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Estimation of yarn-level simulation models for production fabrics
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 41
year: '2022'
...
---
_id: '12109'
abstract:
- lang: eng
text: Kelvin probe force microscopy (KPFM) is a powerful tool for studying contact
electrification (CE) at the nanoscale, but converting KPFM voltage maps to charge
density maps is nontrivial due to long-range forces and complex system geometry.
Here we present a strategy using finite-element method (FEM) simulations to determine
the Green's function of the KPFM probe/insulator/ground system, which allows us
to quantitatively extract surface charge. Testing our approach with synthetic
data, we find that accounting for the atomic force microscope (AFM) tip, cone,
and cantilever is necessary to recover a known input and that existing methods
lead to gross miscalculation or even the incorrect sign of the underlying charge.
Applying it to experimental data, we demonstrate its capacity to extract realistic
surface charge densities and fine details from contact-charged surfaces. Our method
gives a straightforward recipe to convert qualitative KPFM voltage data into quantitative
charge data over a range of experimental conditions, enabling quantitative CE
at the nanoscale.
acknowledged_ssus:
- _id: M-Shop
- _id: NanoFab
- _id: ScienComp
acknowledgement: "This project has received funding from the European Research Council
(ERC) under the European Union’s Horizon 2020 research and innovation programme
(Grant Agreement\r\nNo. 949120). This research was supported by the Scientific Service
Units of the Institute of Science and Technology Austria (ISTA) through resources
provided by the Miba Machine\r\nShop, the Nanofabrication Facility, and the Scientific
Computing Facility. We thank F. Stumpf from Park Systems for useful discussions
and support with scanning probe microscopy.\r\nF.P. and J.C.S. contributed equally
to this work."
article_number: '125605'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Felix
full_name: Pertl, Felix
id: 6313aec0-15b2-11ec-abd3-ed67d16139af
last_name: Pertl
orcid: 0000-0003-0463-5794
- first_name: Juan Carlos A
full_name: Sobarzo Ponce, Juan Carlos A
id: 4B807D68-AE37-11E9-AC72-31CAE5697425
last_name: Sobarzo Ponce
- first_name: Lubuna B
full_name: Shafeek, Lubuna B
id: 3CD37A82-F248-11E8-B48F-1D18A9856A87
last_name: Shafeek
orcid: 0000-0001-7180-6050
- first_name: Tobias
full_name: Cramer, Tobias
last_name: Cramer
- first_name: Scott R
full_name: Waitukaitis, Scott R
id: 3A1FFC16-F248-11E8-B48F-1D18A9856A87
last_name: Waitukaitis
orcid: 0000-0002-2299-3176
citation:
ama: Pertl F, Sobarzo Ponce JCA, Shafeek LB, Cramer T, Waitukaitis SR. Quantifying
nanoscale charge density features of contact-charged surfaces with an FEM/KPFM-hybrid
approach. Physical Review Materials. 2022;6(12). doi:10.1103/PhysRevMaterials.6.125605
apa: Pertl, F., Sobarzo Ponce, J. C. A., Shafeek, L. B., Cramer, T., & Waitukaitis,
S. R. (2022). Quantifying nanoscale charge density features of contact-charged
surfaces with an FEM/KPFM-hybrid approach. Physical Review Materials. American
Physical Society. https://doi.org/10.1103/PhysRevMaterials.6.125605
chicago: Pertl, Felix, Juan Carlos A Sobarzo Ponce, Lubuna B Shafeek, Tobias Cramer,
and Scott R Waitukaitis. “Quantifying Nanoscale Charge Density Features of Contact-Charged
Surfaces with an FEM/KPFM-Hybrid Approach.” Physical Review Materials.
American Physical Society, 2022. https://doi.org/10.1103/PhysRevMaterials.6.125605.
ieee: F. Pertl, J. C. A. Sobarzo Ponce, L. B. Shafeek, T. Cramer, and S. R. Waitukaitis,
“Quantifying nanoscale charge density features of contact-charged surfaces with
an FEM/KPFM-hybrid approach,” Physical Review Materials, vol. 6, no. 12.
American Physical Society, 2022.
ista: Pertl F, Sobarzo Ponce JCA, Shafeek LB, Cramer T, Waitukaitis SR. 2022. Quantifying
nanoscale charge density features of contact-charged surfaces with an FEM/KPFM-hybrid
approach. Physical Review Materials. 6(12), 125605.
mla: Pertl, Felix, et al. “Quantifying Nanoscale Charge Density Features of Contact-Charged
Surfaces with an FEM/KPFM-Hybrid Approach.” Physical Review Materials,
vol. 6, no. 12, 125605, American Physical Society, 2022, doi:10.1103/PhysRevMaterials.6.125605.
short: F. Pertl, J.C.A. Sobarzo Ponce, L.B. Shafeek, T. Cramer, S.R. Waitukaitis,
Physical Review Materials 6 (2022).
corr_author: '1'
date_created: 2023-01-08T23:00:53Z
date_published: 2022-12-29T00:00:00Z
date_updated: 2026-04-07T11:50:54Z
day: '29'
department:
- _id: ScWa
- _id: NanoFab
doi: 10.1103/PhysRevMaterials.6.125605
ec_funded: 1
external_id:
arxiv:
- '2209.01889'
isi:
- '000908384800001'
intvolume: ' 6'
isi: 1
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: ' https://doi.org/10.48550/arXiv.2209.01889'
month: '12'
oa: 1
oa_version: Preprint
project:
- _id: 0aa60e99-070f-11eb-9043-a6de6bdc3afa
call_identifier: H2020
grant_number: '949120'
name: 'Tribocharge: a multi-scale approach to an enduring problem in physics'
publication: Physical Review Materials
publication_identifier:
eissn:
- 2475-9953
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
related_material:
record:
- id: '20203'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Quantifying nanoscale charge density features of contact-charged surfaces with
an FEM/KPFM-hybrid approach
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 6
year: '2022'
...
---
_id: '12142'
abstract:
- lang: eng
text: Theory for liability-scale models of the underlying genetic basis of complex
disease provides an important way to interpret, compare, and understand results
generated from biological studies. In particular, through estimation of the liability-scale
heritability (LSH), liability models facilitate an understanding and comparison
of the relative importance of genetic and environmental risk factors that shape
different clinically important disease outcomes. Increasingly, large-scale biobank
studies that link genetic information to electronic health records, containing
hundreds of disease diagnosis indicators that mostly occur infrequently within
the sample, are becoming available. Here, we propose an extension of the existing
liability-scale model theory suitable for estimating LSH in biobank studies of
low-prevalence disease. In a simulation study, we find that our derived expression
yields lower mean square error (MSE) and is less sensitive to prevalence misspecification
as compared to previous transformations for diseases with =< 2% population prevalence
and LSH of =< 0.45, especially if the biobank sample prevalence is less than that
of the wider population. Applying our expression to 13 diagnostic outcomes of =<
3% prevalence in the UK Biobank study revealed important differences in LSH obtained
from the different theoretical expressions that impact the conclusions made when
comparing LSH across disease outcomes. This demonstrates the importance of careful
consideration for estimation and prediction of low-prevalence disease outcomes
and facilitates improved inference of the underlying genetic basis of =< 2% population
prevalence diseases, especially where biobank sample ascertainment results in
a healthier sample population.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: This project was funded by an SNSF Eccellenza grant to M.R.R. (PCEGP3-181181),
core funding from the Institute of Science and Technology Austria, and core funding
from the Department of Computational Biology of the University of Lausanne. Z.K.
was funded by the Swiss National Science Foundation (310030-189147). This research
was supported by the Scientific Service Units (SSUs) of IST Austria through resources
provided by Scientific Computing (SciComp). We would like to thank the participants
of the UK Biobank.
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Sven E.
full_name: Ojavee, Sven E.
last_name: Ojavee
- first_name: Zoltan
full_name: Kutalik, Zoltan
last_name: Kutalik
- first_name: Matthew Richard
full_name: Robinson, Matthew Richard
id: E5D42276-F5DA-11E9-8E24-6303E6697425
last_name: Robinson
orcid: 0000-0001-8982-8813
citation:
ama: Ojavee SE, Kutalik Z, Robinson MR. Liability-scale heritability estimation
for biobank studies of low-prevalence disease. The American Journal of Human
Genetics. 2022;109(11):2009-2017. doi:10.1016/j.ajhg.2022.09.011
apa: Ojavee, S. E., Kutalik, Z., & Robinson, M. R. (2022). Liability-scale heritability
estimation for biobank studies of low-prevalence disease. The American Journal
of Human Genetics. Elsevier. https://doi.org/10.1016/j.ajhg.2022.09.011
chicago: Ojavee, Sven E., Zoltan Kutalik, and Matthew Richard Robinson. “Liability-Scale
Heritability Estimation for Biobank Studies of Low-Prevalence Disease.” The
American Journal of Human Genetics. Elsevier, 2022. https://doi.org/10.1016/j.ajhg.2022.09.011.
ieee: S. E. Ojavee, Z. Kutalik, and M. R. Robinson, “Liability-scale heritability
estimation for biobank studies of low-prevalence disease,” The American Journal
of Human Genetics, vol. 109, no. 11. Elsevier, pp. 2009–2017, 2022.
ista: Ojavee SE, Kutalik Z, Robinson MR. 2022. Liability-scale heritability estimation
for biobank studies of low-prevalence disease. The American Journal of Human Genetics.
109(11), 2009–2017.
mla: Ojavee, Sven E., et al. “Liability-Scale Heritability Estimation for Biobank
Studies of Low-Prevalence Disease.” The American Journal of Human Genetics,
vol. 109, no. 11, Elsevier, 2022, pp. 2009–17, doi:10.1016/j.ajhg.2022.09.011.
short: S.E. Ojavee, Z. Kutalik, M.R. Robinson, The American Journal of Human Genetics
109 (2022) 2009–2017.
corr_author: '1'
date_created: 2023-01-12T12:05:28Z
date_published: 2022-11-03T00:00:00Z
date_updated: 2025-06-11T13:55:19Z
day: '03'
ddc:
- '570'
department:
- _id: MaRo
doi: 10.1016/j.ajhg.2022.09.011
external_id:
isi:
- '000898683500006'
pmid:
- '36265482'
file:
- access_level: open_access
checksum: 4cd7f12bfe21a8237bb095eedfa26361
content_type: application/pdf
creator: dernst
date_created: 2023-01-24T09:23:01Z
date_updated: 2023-01-24T09:23:01Z
file_id: '12353'
file_name: 2022_AJHG_Ojavee.pdf
file_size: 705195
relation: main_file
success: 1
file_date_updated: 2023-01-24T09:23:01Z
has_accepted_license: '1'
intvolume: ' 109'
isi: 1
issue: '11'
keyword:
- Genetics (clinical)
- Genetics
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
page: 2009-2017
pmid: 1
project:
- _id: 9B8D11D6-BA93-11EA-9121-9846C619BF3A
grant_number: PCEGP3_181181
name: Improving estimation and prediction of common complex disease risk
publication: The American Journal of Human Genetics
publication_identifier:
issn:
- 0002-9297
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Liability-scale heritability estimation for biobank studies of low-prevalence
disease
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 109
year: '2022'
...
---
_id: '12495'
abstract:
- lang: eng
text: "Fairness-aware learning aims at constructing classifiers that not only make
accurate predictions, but also do not discriminate against specific groups. It
is a fast-growing area of\r\nmachine learning with far-reaching societal impact.
However, existing fair learning methods\r\nare vulnerable to accidental or malicious
artifacts in the training data, which can cause\r\nthem to unknowingly produce
unfair classifiers. In this work we address the problem of\r\nfair learning from
unreliable training data in the robust multisource setting, where the\r\navailable
training data comes from multiple sources, a fraction of which might not be representative
of the true data distribution. We introduce FLEA, a filtering-based algorithm\r\nthat
identifies and suppresses those data sources that would have a negative impact
on\r\nfairness or accuracy if they were used for training. As such, FLEA is not
a replacement of\r\nprior fairness-aware learning methods but rather an augmentation
that makes any of them\r\nrobust against unreliable training data. We show the
effectiveness of our approach by a\r\ndiverse range of experiments on multiple
datasets. Additionally, we prove formally that\r\n–given enough data– FLEA protects
the learner against corruptions as long as the fraction of\r\naffected data sources
is less than half. Our source code and documentation are available at\r\nhttps://github.com/ISTAustria-CVML/FLEA."
acknowledged_ssus:
- _id: ScienComp
acknowledgement: 'The authors would like to thank Bernd Prach, Elias Frantar, Alexandra
Peste, Mahdi Nikdan, and Peter Súkeník for their helpful feedback. This research
was supported by the Scientific Service Units (SSU) of IST Austria through resources
provided by Scientific Computing (SciComp). This publication was made possible by
an ETH AI Center postdoctoral fellowship granted to Nikola Konstantinov. Eugenia
Iofinova was supported in part by the FWF DK VGSCO, grant agreement number W1260-N35. '
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Eugenia B
full_name: Iofinova, Eugenia B
id: f9a17499-f6e0-11ea-865d-fdf9a3f77117
last_name: Iofinova
orcid: 0000-0002-7778-3221
- first_name: Nikola H
full_name: Konstantinov, Nikola H
id: 4B9D76E4-F248-11E8-B48F-1D18A9856A87
last_name: Konstantinov
orcid: 0009-0009-5204-7621
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: 'Iofinova EB, Konstantinov NH, Lampert C. FLEA: Provably robust fair multisource
learning from unreliable training data. Transactions on Machine Learning Research.
2022.'
apa: 'Iofinova, E. B., Konstantinov, N. H., & Lampert, C. (2022). FLEA: Provably
robust fair multisource learning from unreliable training data. Transactions
on Machine Learning Research. ML Research Press.'
chicago: 'Iofinova, Eugenia B, Nikola H Konstantinov, and Christoph Lampert. “FLEA:
Provably Robust Fair Multisource Learning from Unreliable Training Data.” Transactions
on Machine Learning Research. ML Research Press, 2022.'
ieee: 'E. B. Iofinova, N. H. Konstantinov, and C. Lampert, “FLEA: Provably robust
fair multisource learning from unreliable training data,” Transactions on Machine
Learning Research. ML Research Press, 2022.'
ista: 'Iofinova EB, Konstantinov NH, Lampert C. 2022. FLEA: Provably robust fair
multisource learning from unreliable training data. Transactions on Machine Learning
Research.'
mla: 'Iofinova, Eugenia B., et al. “FLEA: Provably Robust Fair Multisource Learning
from Unreliable Training Data.” Transactions on Machine Learning Research,
ML Research Press, 2022.'
short: E.B. Iofinova, N.H. Konstantinov, C. Lampert, Transactions on Machine Learning
Research (2022).
corr_author: '1'
date_created: 2023-02-02T20:29:57Z
date_published: 2022-12-22T00:00:00Z
date_updated: 2025-12-30T11:04:31Z
day: '22'
ddc:
- '000'
department:
- _id: ChLa
external_id:
arxiv:
- '2106.11732'
file:
- access_level: open_access
checksum: 97c8a8470759cab597abb973ca137a3b
content_type: application/pdf
creator: dernst
date_created: 2023-02-23T10:30:04Z
date_updated: 2023-02-23T10:30:04Z
file_id: '12673'
file_name: 2022_TMLR_Iofinova.pdf
file_size: 1948063
relation: main_file
success: 1
file_date_updated: 2023-02-23T10:30:04Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://openreview.net/forum?id=XsPopigZXV
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 9B9290DE-BA93-11EA-9121-9846C619BF3A
grant_number: W1260-N35
name: Vienna Graduate School on Computational Optimization
publication: Transactions on Machine Learning Research
publication_identifier:
issn:
- 2835-8856
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
related_material:
link:
- description: source code
relation: software
url: https://github.com/ISTAustria-CVML/FLEA
status: public
title: 'FLEA: Provably robust fair multisource learning from unreliable training data'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2022'
...
---
_id: '10284'
abstract:
- lang: eng
text: Infections early in life can have enduring effects on an organism's development
and immunity. In this study, we show that this equally applies to developing ‘superorganisms’––incipient
social insect colonies. When we exposed newly mated Lasius niger ant queens to
a low pathogen dose, their colonies grew more slowly than controls before winter,
but reached similar sizes afterwards. Independent of exposure, queen hibernation
survival improved when the ratio of pupae to workers was small. Queens that reared
fewer pupae before worker emergence exhibited lower pathogen levels, indicating
that high brood rearing efforts interfere with the ability of the queen's immune
system to suppress pathogen proliferation. Early-life queen pathogen exposure
also improved the immunocompetence of her worker offspring, as demonstrated by
challenging the workers to the same pathogen a year later. Transgenerational transfer
of the queen's pathogen experience to her workforce can hence durably reduce the
disease susceptibility of the whole superorganism.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: The authors are grateful to G. Tkačik and V. Mireles for advice on
data analyses and to A. Schloegl for help using the IST Austria HPC cluster for
data processing. The authors thank J. Eilenberg for providing the fungal strain
and A.V. Grasse for support with the molecular analysis. The authors also thank
the Social Immunity group at IST Austria, in particular B. Milutinović, for discussions
throughout and comments on the manuscript.
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Barbara E
full_name: Casillas Perez, Barbara E
id: 351ED2AA-F248-11E8-B48F-1D18A9856A87
last_name: Casillas Perez
- first_name: Christopher
full_name: Pull, Christopher
id: 3C7F4840-F248-11E8-B48F-1D18A9856A87
last_name: Pull
orcid: 0000-0003-1122-3982
- first_name: Filip
full_name: Naiser, Filip
last_name: Naiser
- first_name: Elisabeth
full_name: Naderlinger, Elisabeth
id: 31757262-F248-11E8-B48F-1D18A9856A87
last_name: Naderlinger
- first_name: Jiri
full_name: Matas, Jiri
last_name: Matas
- first_name: Sylvia
full_name: Cremer, Sylvia
id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87
last_name: Cremer
orcid: 0000-0002-2193-3868
citation:
ama: Casillas Perez BE, Pull C, Naiser F, Naderlinger E, Matas J, Cremer S. Early
queen infection shapes developmental dynamics and induces long-term disease protection
in incipient ant colonies. Ecology Letters. 2022;25(1):89-100. doi:10.1111/ele.13907
apa: Casillas Perez, B. E., Pull, C., Naiser, F., Naderlinger, E., Matas, J., &
Cremer, S. (2022). Early queen infection shapes developmental dynamics and induces
long-term disease protection in incipient ant colonies. Ecology Letters.
Wiley. https://doi.org/10.1111/ele.13907
chicago: Casillas Perez, Barbara E, Christopher Pull, Filip Naiser, Elisabeth Naderlinger,
Jiri Matas, and Sylvia Cremer. “Early Queen Infection Shapes Developmental Dynamics
and Induces Long-Term Disease Protection in Incipient Ant Colonies.” Ecology
Letters. Wiley, 2022. https://doi.org/10.1111/ele.13907.
ieee: B. E. Casillas Perez, C. Pull, F. Naiser, E. Naderlinger, J. Matas, and S.
Cremer, “Early queen infection shapes developmental dynamics and induces long-term
disease protection in incipient ant colonies,” Ecology Letters, vol. 25,
no. 1. Wiley, pp. 89–100, 2022.
ista: Casillas Perez BE, Pull C, Naiser F, Naderlinger E, Matas J, Cremer S. 2022.
Early queen infection shapes developmental dynamics and induces long-term disease
protection in incipient ant colonies. Ecology Letters. 25(1), 89–100.
mla: Casillas Perez, Barbara E., et al. “Early Queen Infection Shapes Developmental
Dynamics and Induces Long-Term Disease Protection in Incipient Ant Colonies.”
Ecology Letters, vol. 25, no. 1, Wiley, 2022, pp. 89–100, doi:10.1111/ele.13907.
short: B.E. Casillas Perez, C. Pull, F. Naiser, E. Naderlinger, J. Matas, S. Cremer,
Ecology Letters 25 (2022) 89–100.
corr_author: '1'
date_created: 2021-11-14T23:01:25Z
date_published: 2022-01-01T00:00:00Z
date_updated: 2025-04-14T13:55:31Z
day: '01'
ddc:
- '573'
department:
- _id: SyCr
doi: 10.1111/ele.13907
ec_funded: 1
external_id:
isi:
- '000713396100001'
pmid:
- '34725912'
file:
- access_level: open_access
checksum: 0bd4210400e9876609b7c538ab4f9a3c
content_type: application/pdf
creator: cchlebak
date_created: 2022-02-03T13:37:11Z
date_updated: 2022-02-03T13:37:11Z
file_id: '10721'
file_name: 2021_EcologyLetters_CasillasPerez.pdf
file_size: 700087
relation: main_file
success: 1
file_date_updated: 2022-02-03T13:37:11Z
has_accepted_license: '1'
intvolume: ' 25'
isi: 1
issue: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: 89-100
pmid: 1
project:
- _id: 2649B4DE-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '771402'
name: Epidemics in ant societies on a chip
publication: Ecology Letters
publication_identifier:
eissn:
- 1461-0248
issn:
- 1461-023X
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
record:
- id: '13061'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Early queen infection shapes developmental dynamics and induces long-term disease
protection in incipient ant colonies
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 25
year: '2022'
...
---
_id: '10752'
abstract:
- lang: eng
text: 'The digitalization of almost all aspects of our everyday lives has led to
unprecedented amounts of data being freely available on the Internet. In particular
social media platforms provide rich sources of user-generated data, though typically
in unstructured form, and with high diversity, such as written in many different
languages. Automatically identifying meaningful information in such big data resources
and extracting it efficiently is one of the ongoing challenges of our time. A
common step for this is sentiment analysis, which forms the foundation for tasks
such as opinion mining or trend prediction. Unfortunately, publicly available
tools for this task are almost exclusively available for English-language texts.
Consequently, a large fraction of the Internet users, who do not communicate in
English, are ignored in automatized studies, a phenomenon called rare-language
discrimination.In this work we propose a technique to overcome this problem by
a truly multi-lingual model, which can be trained automatically without linguistic
knowledge or even the ability to read the many target languages. The main step
is to combine self-annotation, specifically the use of emoticons as a proxy for
labels, with multi-lingual sentence representations.To evaluate our method we
curated several large datasets from data obtained via the free Twitter streaming
API. The results show that our proposed multi-lingual training is able to achieve
sentiment predictions at the same quality level for rare languages as for frequent
ones, and in particular clearly better than what mono-lingual training achieves
on the same data. '
acknowledged_ssus:
- _id: ScienComp
acknowledgement: This research was funded in parts by the FORTE program of the Austrian
Research Promotion Agency (FFG) and the Federal Ministry of Agriculture, Regions
and Tourism (BMLRT) as part of the AMMONIS project (grant no. 879705). The research
was also supported by the Scientific Service Units (SSU) of IST Austria through
resources provided by Scientific Computing (SciComp).
article_processing_charge: No
author:
- first_name: Jasmin
full_name: Lampert, Jasmin
last_name: Lampert
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0002-4561-241X
citation:
ama: 'Lampert J, Lampert C. Overcoming rare-language discrimination in multi-lingual
sentiment analysis. In: 2021 IEEE International Conference on Big Data.
IEEE; 2022:5185-5192. doi:10.1109/bigdata52589.2021.9672003'
apa: 'Lampert, J., & Lampert, C. (2022). Overcoming rare-language discrimination
in multi-lingual sentiment analysis. In 2021 IEEE International Conference
on Big Data (pp. 5185–5192). Orlando, FL, United States: IEEE. https://doi.org/10.1109/bigdata52589.2021.9672003'
chicago: Lampert, Jasmin, and Christoph Lampert. “Overcoming Rare-Language Discrimination
in Multi-Lingual Sentiment Analysis.” In 2021 IEEE International Conference
on Big Data, 5185–92. IEEE, 2022. https://doi.org/10.1109/bigdata52589.2021.9672003.
ieee: J. Lampert and C. Lampert, “Overcoming rare-language discrimination in multi-lingual
sentiment analysis,” in 2021 IEEE International Conference on Big Data,
Orlando, FL, United States, 2022, pp. 5185–5192.
ista: 'Lampert J, Lampert C. 2022. Overcoming rare-language discrimination in multi-lingual
sentiment analysis. 2021 IEEE International Conference on Big Data. Big Data:
International Conference on Big Data, 5185–5192.'
mla: Lampert, Jasmin, and Christoph Lampert. “Overcoming Rare-Language Discrimination
in Multi-Lingual Sentiment Analysis.” 2021 IEEE International Conference on
Big Data, IEEE, 2022, pp. 5185–92, doi:10.1109/bigdata52589.2021.9672003.
short: J. Lampert, C. Lampert, in:, 2021 IEEE International Conference on Big Data,
IEEE, 2022, pp. 5185–5192.
conference:
end_date: 2021-12-18
location: Orlando, FL, United States
name: 'Big Data: International Conference on Big Data'
start_date: 2021-12-15
corr_author: '1'
date_created: 2022-02-10T14:08:23Z
date_published: 2022-01-13T00:00:00Z
date_updated: 2024-10-21T06:01:53Z
day: '13'
department:
- _id: ChLa
doi: 10.1109/bigdata52589.2021.9672003
external_id:
isi:
- '000800559505036'
isi: 1
language:
- iso: eng
month: '01'
oa_version: None
page: 5185-5192
publication: 2021 IEEE International Conference on Big Data
publication_identifier:
isbn:
- '9781665439022'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Overcoming rare-language discrimination in multi-lingual sentiment analysis
type: conference
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2022'
...
---
_id: '12244'
abstract:
- lang: eng
text: Environmental cues influence the highly dynamic morphology of microglia. Strategies
to characterize these changes usually involve user-selected morphometric features,
which preclude the identification of a spectrum of context-dependent morphological
phenotypes. Here we develop MorphOMICs, a topological data analysis approach,
which enables semiautomatic mapping of microglial morphology into an atlas of
cue-dependent phenotypes and overcomes feature-selection biases and biological
variability. We extract spatially heterogeneous and sexually dimorphic morphological
phenotypes for seven adult mouse brain regions. This sex-specific phenotype declines
with maturation but increases over the disease trajectories in two neurodegeneration
mouse models, with females showing a faster morphological shift in affected brain
regions. Remarkably, microglia morphologies reflect an adaptation upon repeated
exposure to ketamine anesthesia and do not recover to control morphologies. Finally,
we demonstrate that both long primary processes and short terminal processes provide
distinct insights to morphological phenotypes. MorphOMICs opens a new perspective
to characterize microglial morphology.
acknowledged_ssus:
- _id: PreCl
- _id: Bio
- _id: ScienComp
acknowledgement: We thank the scientific service units at ISTA, in particular M. Schunn’s
team at the preclinical facility, and especially our colony manager S. Haslinger,
for excellent support. We are also grateful to the ISTA Imaging & Optics Facility,
and in particular C. Sommer for helping with the data file conversions. We thank
R. Erhart from the ISTA Scientific Computing Unit for improving the script performance.
We thank M. Maes, B. Nagy, S. Oakeley and M. Benevento and all members of the Siegert
group for constant feedback on the project and on the manuscript. This research
was supported by the European Union Horizon 2020 research and innovation program
under the Marie Skłodowska-Curie Actions program (754411 to R.J.A.C.), and by the
European Research Council (grant no. 715571 to S.S.). L.K. was supported by funding
to the Blue Brain Project, a research center of the École polytechnique fédérale
de Lausanne, from the Swiss government’s ETH Board of the Swiss Federal Institutes
of Technology. L.-H.T. was supported by NIH (grant no. R37NS051874) and by the JPB
Foundation. The funders had no role in study design, data collection and analysis,
decision to publish or preparation of the manuscript.
article_processing_charge: No
article_type: original
author:
- first_name: Gloria
full_name: Colombo, Gloria
id: 3483CF6C-F248-11E8-B48F-1D18A9856A87
last_name: Colombo
orcid: 0000-0001-9434-8902
- first_name: Ryan J
full_name: Cubero, Ryan J
id: 850B2E12-9CD4-11E9-837F-E719E6697425
last_name: Cubero
orcid: 0000-0003-0002-1867
- first_name: Lida
full_name: Kanari, Lida
last_name: Kanari
- first_name: Alessandro
full_name: Venturino, Alessandro
id: 41CB84B2-F248-11E8-B48F-1D18A9856A87
last_name: Venturino
orcid: 0000-0003-2356-9403
- first_name: Rouven
full_name: Schulz, Rouven
id: 4C5E7B96-F248-11E8-B48F-1D18A9856A87
last_name: Schulz
orcid: 0000-0001-5297-733X
- first_name: Martina
full_name: Scolamiero, Martina
last_name: Scolamiero
- first_name: Jens
full_name: Agerberg, Jens
last_name: Agerberg
- first_name: Hansruedi
full_name: Mathys, Hansruedi
last_name: Mathys
- first_name: Li-Huei
full_name: Tsai, Li-Huei
last_name: Tsai
- first_name: Wojciech
full_name: Chachólski, Wojciech
last_name: Chachólski
- first_name: Kathryn
full_name: Hess, Kathryn
last_name: Hess
- first_name: Sandra
full_name: Siegert, Sandra
id: 36ACD32E-F248-11E8-B48F-1D18A9856A87
last_name: Siegert
orcid: 0000-0001-8635-0877
citation:
ama: Colombo G, Cubero RJ, Kanari L, et al. A tool for mapping microglial morphology,
morphOMICs, reveals brain-region and sex-dependent phenotypes. Nature Neuroscience.
2022;25(10):1379-1393. doi:10.1038/s41593-022-01167-6
apa: Colombo, G., Cubero, R. J., Kanari, L., Venturino, A., Schulz, R., Scolamiero,
M., … Siegert, S. (2022). A tool for mapping microglial morphology, morphOMICs,
reveals brain-region and sex-dependent phenotypes. Nature Neuroscience.
Springer Nature. https://doi.org/10.1038/s41593-022-01167-6
chicago: Colombo, Gloria, Ryan J Cubero, Lida Kanari, Alessandro Venturino, Rouven
Schulz, Martina Scolamiero, Jens Agerberg, et al. “A Tool for Mapping Microglial
Morphology, MorphOMICs, Reveals Brain-Region and Sex-Dependent Phenotypes.” Nature
Neuroscience. Springer Nature, 2022. https://doi.org/10.1038/s41593-022-01167-6.
ieee: G. Colombo et al., “A tool for mapping microglial morphology, morphOMICs,
reveals brain-region and sex-dependent phenotypes,” Nature Neuroscience,
vol. 25, no. 10. Springer Nature, pp. 1379–1393, 2022.
ista: Colombo G, Cubero RJ, Kanari L, Venturino A, Schulz R, Scolamiero M, Agerberg
J, Mathys H, Tsai L-H, Chachólski W, Hess K, Siegert S. 2022. A tool for mapping
microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes.
Nature Neuroscience. 25(10), 1379–1393.
mla: Colombo, Gloria, et al. “A Tool for Mapping Microglial Morphology, MorphOMICs,
Reveals Brain-Region and Sex-Dependent Phenotypes.” Nature Neuroscience,
vol. 25, no. 10, Springer Nature, 2022, pp. 1379–93, doi:10.1038/s41593-022-01167-6.
short: G. Colombo, R.J. Cubero, L. Kanari, A. Venturino, R. Schulz, M. Scolamiero,
J. Agerberg, H. Mathys, L.-H. Tsai, W. Chachólski, K. Hess, S. Siegert, Nature
Neuroscience 25 (2022) 1379–1393.
corr_author: '1'
date_created: 2023-01-16T09:53:07Z
date_published: 2022-10-01T00:00:00Z
date_updated: 2026-07-26T22:30:08Z
day: '01'
ddc:
- '570'
department:
- _id: SaSi
doi: 10.1038/s41593-022-01167-6
ec_funded: 1
external_id:
isi:
- '000862214700001'
pmid:
- '36180790'
file:
- access_level: open_access
checksum: 28431146873096f52e0107b534f178c9
content_type: application/pdf
creator: dernst
date_created: 2023-01-30T08:06:56Z
date_updated: 2023-01-30T08:06:56Z
file_id: '12437'
file_name: 2022_NatureNeuroscience_Colombo.pdf
file_size: 23789835
relation: main_file
success: 1
file_date_updated: 2023-01-30T08:06:56Z
has_accepted_license: '1'
intvolume: ' 25'
isi: 1
issue: '10'
keyword:
- General Neuroscience
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 1379-1393
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
- _id: 25D4A630-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715571'
name: Microglia action towards neuronal circuit formation and function in health
and disease
publication: Nature Neuroscience
publication_identifier:
eissn:
- 1546-1726
issn:
- 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- description: News on ISTA website
relation: press_release
url: https://ista.ac.at/en/news/morphomics-revealing-the-hidden-meaning-of-microglia-shape/
record:
- id: '12378'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: A tool for mapping microglial morphology, morphOMICs, reveals brain-region
and sex-dependent phenotypes
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 25
year: '2022'
...
---
OA_place: publisher
_id: '12378'
abstract:
- lang: eng
text: "Environmental cues influence the highly dynamic morphology of microglia.
Strategies to \r\ncharacterize these changes usually involve user-selected morphometric
features, which \r\npreclude the identification of a spectrum of context-dependent
morphological phenotypes. \r\nHere, we develop MorphOMICs, a topological data
analysis approach, which enables semi\x02automatic mapping of microglial morphology
into an atlas of cue-dependent phenotypes,\r\novercomes feature-selection bias
and minimizes biological variability. \r\nFirst, with MorphOMICs we derive the
morphological spectrum of microglia across seven \r\nbrain regions during postnatal
development and in two distinct Alzheimer’s disease \r\ndegeneration mouse models.
We uncover region-specific and sexually dimorphic\r\nmorphological trajectories,
with females showing an earlier morphological shift than males in \r\nthe degenerating
brain. Overall, we demonstrate that both long primary- and short terminal \r\nprocesses
provide distinct insights to morphological phenotypes. Moreover, using machine
\r\nlearning to map novel condition on the spectrum, we observe that microglia
morphologies \r\nreflect a dose-dependent adaptation upon ketamine anesthesia
and do not recover to control \r\nmorphologies.\r\nNext, we took advantage of
MorphOMICs to build a high-resolution and layer-specific map of \r\nmicroglial
morphological spectrum in the retina, covering postnatal development and rd10
\r\ndegeneration. Here, following photoreceptor death, microglia assume an early
development\x02like morphology. Finally, we map microglial morphology following
optic nerve crush on the \r\nretinal spectrum and observe a layer- and sex-dependent
response. \r\nOverall, MorphOMICs opens a new perspective to analyze microglial
morphology across \r\nmultiple conditions, and provides a novel tool to characterize
microglial morphology beyond \r\nthe traditionally dichotomized view of microglia."
acknowledged_ssus:
- _id: PreCl
- _id: Bio
- _id: ScienComp
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Gloria
full_name: Colombo, Gloria
id: 3483CF6C-F248-11E8-B48F-1D18A9856A87
last_name: Colombo
orcid: 0000-0001-9434-8902
citation:
ama: Colombo G. MorphOMICs, a tool for mapping microglial morphology, reveals brain
region- and sex-dependent phenotypes. 2022. doi:10.15479/at:ista:12378
apa: Colombo, G. (2022). MorphOMICs, a tool for mapping microglial morphology,
reveals brain region- and sex-dependent phenotypes. Institute of Science and
Technology Austria. https://doi.org/10.15479/at:ista:12378
chicago: Colombo, Gloria. “MorphOMICs, a Tool for Mapping Microglial Morphology,
Reveals Brain Region- and Sex-Dependent Phenotypes.” Institute of Science and
Technology Austria, 2022. https://doi.org/10.15479/at:ista:12378.
ieee: G. Colombo, “MorphOMICs, a tool for mapping microglial morphology, reveals
brain region- and sex-dependent phenotypes,” Institute of Science and Technology
Austria, 2022.
ista: Colombo G. 2022. MorphOMICs, a tool for mapping microglial morphology, reveals
brain region- and sex-dependent phenotypes. Institute of Science and Technology
Austria.
mla: Colombo, Gloria. MorphOMICs, a Tool for Mapping Microglial Morphology, Reveals
Brain Region- and Sex-Dependent Phenotypes. Institute of Science and Technology
Austria, 2022, doi:10.15479/at:ista:12378.
short: G. Colombo, MorphOMICs, a Tool for Mapping Microglial Morphology, Reveals
Brain Region- and Sex-Dependent Phenotypes, Institute of Science and Technology
Austria, 2022.
corr_author: '1'
date_created: 2023-01-25T14:27:43Z
date_published: 2022-11-11T00:00:00Z
date_updated: 2026-04-07T14:29:41Z
day: '11'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: SaSi
doi: 10.15479/at:ista:12378
ec_funded: 1
file:
- access_level: closed
checksum: 8cd3ddfe9b53381dcf086023d8d8893a
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: cchlebak
date_created: 2023-01-25T14:31:32Z
date_updated: 2023-04-12T22:30:03Z
embargo_to: open_access
file_id: '12379'
file_name: Gloria_Colombo_Thesis.docx
file_size: 23890382
relation: source_file
- access_level: open_access
checksum: 8af4319c18b516e8758e9a6cb02b103b
content_type: application/pdf
creator: cchlebak
date_created: 2023-01-25T14:31:36Z
date_updated: 2023-04-12T22:30:03Z
embargo: 2023-04-11
file_id: '12380'
file_name: Gloria_Colombo_Thesis.pdf
file_size: 13802421
relation: main_file
file_date_updated: 2023-04-12T22:30:03Z
has_accepted_license: '1'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
page: '142'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '12244'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Sandra
full_name: Siegert, Sandra
id: 36ACD32E-F248-11E8-B48F-1D18A9856A87
last_name: Siegert
orcid: 0000-0001-8635-0877
title: MorphOMICs, a tool for mapping microglial morphology, reveals brain region-
and sex-dependent phenotypes
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2022'
...
---
_id: '12138'
abstract:
- lang: eng
text: 'Complex I is the first enzyme in the respiratory chain, which is responsible
for energy production in mitochondria and bacteria1. Complex I couples the transfer
of two electrons from NADH to quinone and the translocation of four protons across
the membrane2, but the coupling mechanism remains contentious. Here we present
cryo-electron microscopy structures of Escherichia coli complex I (EcCI) in different
redox states, including catalytic turnover. EcCI exists mostly in the open state,
in which the quinone cavity is exposed to the cytosol, allowing access for water
molecules, which enable quinone movements. Unlike the mammalian paralogues3, EcCI
can convert to the closed state only during turnover, showing that closed and
open states are genuine turnover intermediates. The open-to-closed transition
results in the tightly engulfed quinone cavity being connected to the central
axis of the membrane arm, a source of substrate protons. Consistently, the proportion
of the closed state increases with increasing pH. We propose a detailed but straightforward
and robust mechanism comprising a ‘domino effect’ series of proton transfers and
electrostatic interactions: the forward wave (‘dominoes stacking’) primes the
pump, and the reverse wave (‘dominoes falling’) results in the ejection of all
pumped protons from the distal subunit NuoL. This mechanism explains why protons
exit exclusively from the NuoL subunit and is supported by our mutagenesis data.
We contend that this is a universal coupling mechanism of complex I and related
enzymes.'
acknowledged_ssus:
- _id: EM-Fac
- _id: LifeSc
- _id: ScienComp
acknowledgement: This research was supported by the Scientific Service Units (SSU)
of IST Austria through resources provided by the Electron Microscopy Facility (EMF),
the Life Science Facility (LSF) and the IST high-performance computing cluster.
We thank V.-V. Hodirnau from IST Austria EMF, M. Babiak from CEITEC for assistance
with collecting cryo-EM data and A. Charnagalov for the assistance with protein
purification. V.K. was a recipient of a DOC Fellowship of the Austrian Academy of
Sciences at the Institute of Science and Technology, Austria. V.K. and O.P. are
funded by the ERC Advanced Grant 101020697 RESPICHAIN to L.S. This work was also
supported by the Medical Research Council (UK).
article_processing_charge: No
article_type: original
author:
- first_name: Vladyslav
full_name: Kravchuk, Vladyslav
id: 4D62F2A6-F248-11E8-B48F-1D18A9856A87
last_name: Kravchuk
orcid: 0000-0001-9523-9089
- first_name: Olga
full_name: Petrova, Olga
id: 5D8C9660-5D49-11EA-8188-567B3DDC885E
last_name: Petrova
- first_name: Domen
full_name: Kampjut, Domen
id: 37233050-F248-11E8-B48F-1D18A9856A87
last_name: Kampjut
orcid: 0000-0002-6018-3422
- first_name: Anna
full_name: Wojciechowska-Bason, Anna
last_name: Wojciechowska-Bason
- first_name: Zara
full_name: Breese, Zara
last_name: Breese
- first_name: Leonid A
full_name: Sazanov, Leonid A
id: 338D39FE-F248-11E8-B48F-1D18A9856A87
last_name: Sazanov
orcid: 0000-0002-0977-7989
citation:
ama: Kravchuk V, Petrova O, Kampjut D, Wojciechowska-Bason A, Breese Z, Sazanov
LA. A universal coupling mechanism of respiratory complex I. Nature. 2022;609(7928):808-814.
doi:10.1038/s41586-022-05199-7
apa: Kravchuk, V., Petrova, O., Kampjut, D., Wojciechowska-Bason, A., Breese, Z.,
& Sazanov, L. A. (2022). A universal coupling mechanism of respiratory complex
I. Nature. Springer Nature. https://doi.org/10.1038/s41586-022-05199-7
chicago: Kravchuk, Vladyslav, Olga Petrova, Domen Kampjut, Anna Wojciechowska-Bason,
Zara Breese, and Leonid A Sazanov. “A Universal Coupling Mechanism of Respiratory
Complex I.” Nature. Springer Nature, 2022. https://doi.org/10.1038/s41586-022-05199-7.
ieee: V. Kravchuk, O. Petrova, D. Kampjut, A. Wojciechowska-Bason, Z. Breese, and
L. A. Sazanov, “A universal coupling mechanism of respiratory complex I,” Nature,
vol. 609, no. 7928. Springer Nature, pp. 808–814, 2022.
ista: Kravchuk V, Petrova O, Kampjut D, Wojciechowska-Bason A, Breese Z, Sazanov
LA. 2022. A universal coupling mechanism of respiratory complex I. Nature. 609(7928),
808–814.
mla: Kravchuk, Vladyslav, et al. “A Universal Coupling Mechanism of Respiratory
Complex I.” Nature, vol. 609, no. 7928, Springer Nature, 2022, pp. 808–14,
doi:10.1038/s41586-022-05199-7.
short: V. Kravchuk, O. Petrova, D. Kampjut, A. Wojciechowska-Bason, Z. Breese, L.A.
Sazanov, Nature 609 (2022) 808–814.
corr_author: '1'
date_created: 2023-01-12T12:04:33Z
date_published: 2022-09-22T00:00:00Z
date_updated: 2026-07-26T22:30:11Z
day: '22'
ddc:
- '572'
department:
- _id: LeSa
doi: 10.1038/s41586-022-05199-7
ec_funded: 1
external_id:
isi:
- '000854788200001'
pmid:
- '36104567'
file:
- access_level: open_access
checksum: d42a93e24f59e883ef0b5429832391d0
content_type: application/pdf
creator: lsazanov
date_created: 2023-05-30T17:05:31Z
date_updated: 2023-05-30T17:05:31Z
file_id: '13104'
file_name: EcCxI_manuscript_rev3_noSI_updated_withFigs_opt.pdf
file_size: 1425655
relation: main_file
success: 1
- access_level: open_access
checksum: 5422bc0a73b3daadafa262c7ea6deae3
content_type: application/pdf
creator: lsazanov
date_created: 2023-05-30T17:07:05Z
date_updated: 2023-05-30T17:07:05Z
file_id: '13105'
file_name: EcCxI_manuscript_rev3_SI_All_opt_upd.pdf
file_size: 9842513
relation: main_file
success: 1
file_date_updated: 2023-05-30T17:07:05Z
has_accepted_license: '1'
intvolume: ' 609'
isi: 1
issue: '7928'
keyword:
- Multidisciplinary
language:
- iso: eng
month: '09'
oa: 1
oa_version: Submitted Version
page: 808-814
pmid: 1
project:
- _id: 238A0A5A-32DE-11EA-91FC-C7463DDC885E
grant_number: '25541'
name: 'Structural characterization of E. coli complex I: an important mechanistic
model'
- _id: 627abdeb-2b32-11ec-9570-ec31a97243d3
call_identifier: H2020
grant_number: '101020697'
name: Structure and mechanism of respiratory chain molecular machines
publication: Nature
publication_identifier:
eissn:
- 1476-4687
issn:
- 0028-0836
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: https://doi.org/10.1038/s41586-022-05457-8
- description: News on ISTA website
relation: press_release
url: https://ista.ac.at/en/news/proton-dominos-kick-off-life/
record:
- id: '12781'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: A universal coupling mechanism of respiratory complex I
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 609
year: '2022'
...
---
_id: '12248'
abstract:
- lang: eng
text: Eurasian brine shrimp (genus Artemia) have closely related sexual and asexual
lineages of parthenogenetic females, which produce rare males at low frequencies.
Although they are known to have ZW chromosomes, these are not well characterized,
and it is unclear whether they are shared across the clade. Furthermore, the underlying
genetic architecture of the transmission of asexuality, which can occur when rare
males mate with closely related sexual females, is not well understood. We produced
a chromosome-level assembly for the sexual Eurasian species Artemia sinica and
characterized in detail the pair of sex chromosomes of this species. We combined
this new assembly with short-read genomic data for the sexual species Artemia
sp. Kazakhstan and several asexual lineages of Artemia parthenogenetica, allowing
us to perform an in-depth characterization of sex-chromosome evolution across
the genus. We identified a small differentiated region of the ZW pair that is
shared by all sexual and asexual lineages, supporting the shared ancestry of the
sex chromosomes. We also inferred that recombination suppression has spread to
larger sections of the chromosome independently in the American and Eurasian lineages.
Finally, we took advantage of a rare male, which we backcrossed to sexual females,
to explore the genetic basis of asexuality. Our results suggest that parthenogenesis
is likely partly controlled by a locus on the Z chromosome, highlighting the interplay
between sex determination and asexuality.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "This work was supported by the European Research Council under the
European Union’s Horizon 2020 research and innovation program (grant agreement no.
715257) and by the Austrian Science Foundation (FWF SFB F88-10).\r\nWe thank the
Vicoso group for comments on the manuscript and the ISTA Scientific computing team
and the Vienna Biocenter Sequencing facility for technical support."
article_number: iyac123
article_processing_charge: No
article_type: original
author:
- first_name: Marwan N
full_name: Elkrewi, Marwan N
id: 0B46FACA-A8E1-11E9-9BD3-79D1E5697425
last_name: Elkrewi
orcid: 0000-0002-5328-7231
- first_name: Uladzislava
full_name: Khauratovich, Uladzislava
id: 5eba06f4-97d8-11ed-9f8f-d826ebdd9434
last_name: Khauratovich
- first_name: Melissa A
full_name: Toups, Melissa A
id: 4E099E4E-F248-11E8-B48F-1D18A9856A87
last_name: Toups
orcid: 0000-0002-9752-7380
- first_name: Vincent K
full_name: Bett, Vincent K
id: 57854184-AAE0-11E9-8D04-98D6E5697425
last_name: Bett
- first_name: Andrea
full_name: Mrnjavac, Andrea
id: 353FAC84-AE61-11E9-8BFC-00D3E5697425
last_name: Mrnjavac
- first_name: Ariana
full_name: Macon, Ariana
id: 2A0848E2-F248-11E8-B48F-1D18A9856A87
last_name: Macon
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Luca
full_name: Sax, Luca
id: 701c5602-97d8-11ed-96b5-b52773c70189
last_name: Sax
- first_name: Ann K
full_name: Huylmans, Ann K
id: 4C0A3874-F248-11E8-B48F-1D18A9856A87
last_name: Huylmans
orcid: 0000-0001-8871-4961
- first_name: Francisco
full_name: Hontoria, Francisco
last_name: Hontoria
- first_name: Beatriz
full_name: Vicoso, Beatriz
id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87
last_name: Vicoso
orcid: 0000-0002-4579-8306
citation:
ama: Elkrewi MN, Khauratovich U, Toups MA, et al. ZW sex-chromosome evolution and
contagious parthenogenesis in Artemia brine shrimp. Genetics. 2022;222(2).
doi:10.1093/genetics/iyac123
apa: Elkrewi, M. N., Khauratovich, U., Toups, M. A., Bett, V. K., Mrnjavac, A.,
Macon, A., … Vicoso, B. (2022). ZW sex-chromosome evolution and contagious parthenogenesis
in Artemia brine shrimp. Genetics. Oxford University Press. https://doi.org/10.1093/genetics/iyac123
chicago: Elkrewi, Marwan N, Uladzislava Khauratovich, Melissa A Toups, Vincent K
Bett, Andrea Mrnjavac, Ariana Macon, Christelle Fraisse, et al. “ZW Sex-Chromosome
Evolution and Contagious Parthenogenesis in Artemia Brine Shrimp.” Genetics.
Oxford University Press, 2022. https://doi.org/10.1093/genetics/iyac123.
ieee: M. N. Elkrewi et al., “ZW sex-chromosome evolution and contagious parthenogenesis
in Artemia brine shrimp,” Genetics, vol. 222, no. 2. Oxford University
Press, 2022.
ista: Elkrewi MN, Khauratovich U, Toups MA, Bett VK, Mrnjavac A, Macon A, Fraisse
C, Sax L, Huylmans AK, Hontoria F, Vicoso B. 2022. ZW sex-chromosome evolution
and contagious parthenogenesis in Artemia brine shrimp. Genetics. 222(2), iyac123.
mla: Elkrewi, Marwan N., et al. “ZW Sex-Chromosome Evolution and Contagious Parthenogenesis
in Artemia Brine Shrimp.” Genetics, vol. 222, no. 2, iyac123, Oxford University
Press, 2022, doi:10.1093/genetics/iyac123.
short: M.N. Elkrewi, U. Khauratovich, M.A. Toups, V.K. Bett, A. Mrnjavac, A. Macon,
C. Fraisse, L. Sax, A.K. Huylmans, F. Hontoria, B. Vicoso, Genetics 222 (2022).
corr_author: '1'
date_created: 2023-01-16T09:56:10Z
date_published: 2022-10-01T00:00:00Z
date_updated: 2026-07-26T22:31:06Z
day: '01'
ddc:
- '570'
department:
- _id: BeVi
doi: 10.1093/genetics/iyac123
ec_funded: 1
external_id:
isi:
- '000850270300001'
pmid:
- '35977389'
file:
- access_level: open_access
checksum: f79ff5383e882ea3f95f3da47a78029d
content_type: application/pdf
creator: dernst
date_created: 2023-01-30T08:59:58Z
date_updated: 2023-01-30T08:59:58Z
file_id: '12440'
file_name: 2022_Genetics_Elkrewi.pdf
file_size: 1347136
relation: main_file
success: 1
file_date_updated: 2023-01-30T08:59:58Z
has_accepted_license: '1'
intvolume: ' 222'
isi: 1
issue: '2'
keyword:
- Genetics
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 250BDE62-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715257'
name: Prevalence and Influence of Sexual Antagonism on Genome Evolution
- _id: 34ae1506-11ca-11ed-8bc3-c14f4c474396
grant_number: F8810
name: The highjacking of meiosis for asexual reproduction
publication: Genetics
publication_identifier:
issn:
- 1943-2631
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
related_material:
record:
- id: '11653'
relation: research_data
status: public
- id: '19386'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: ZW sex-chromosome evolution and contagious parthenogenesis in Artemia brine
shrimp
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 222
year: '2022'
...
---
_id: '11458'
abstract:
- lang: eng
text: 'The increasing computational requirements of deep neural networks (DNNs)
have led to significant interest in obtaining DNN models that are sparse, yet
accurate. Recent work has investigated the even harder case of sparse training,
where the DNN weights are, for as much as possible, already sparse to reduce computational
costs during training. Existing sparse training methods are often empirical and
can have lower accuracy relative to the dense baseline. In this paper, we present
a general approach called Alternating Compressed/DeCompressed (AC/DC) training
of DNNs, demonstrate convergence for a variant of the algorithm, and show that
AC/DC outperforms existing sparse training methods in accuracy at similar computational
budgets; at high sparsity levels, AC/DC even outperforms existing methods that
rely on accurate pre-trained dense models. An important property of AC/DC is that
it allows co-training of dense and sparse models, yielding accurate sparse–dense
model pairs at the end of the training process. This is useful in practice, where
compressed variants may be desirable for deployment in resource-constrained settings
without re-doing the entire training flow, and also provides us with insights
into the accuracy gap between dense and compressed models. The code is available
at: https://github.com/IST-DASLab/ACDC.'
acknowledged_ssus:
- _id: ScienComp
acknowledgement: This project has received funding from the European Research Council
(ERC) under the European Union’s Horizon 2020 research and innovation programme
(grant agreement No 805223 ScaleML), and a CNRS PEPS grant. This research was supported
by the Scientific Service Units (SSU) of IST Austria through resources provided
by Scientific Computing (SciComp). We would also like to thank Christoph Lampert
for his feedback on an earlier version of this work, as well as for providing hardware
for the Transformer-XL experiments.
alternative_title:
- Advances in Neural Information Processing Systems
article_processing_charge: No
arxiv: 1
author:
- first_name: Elena-Alexandra
full_name: Peste, Elena-Alexandra
id: 32D78294-F248-11E8-B48F-1D18A9856A87
last_name: Peste
- first_name: Eugenia B
full_name: Iofinova, Eugenia B
id: f9a17499-f6e0-11ea-865d-fdf9a3f77117
last_name: Iofinova
orcid: 0000-0002-7778-3221
- first_name: Adrian
full_name: Vladu, Adrian
last_name: Vladu
- first_name: Dan-Adrian
full_name: Alistarh, Dan-Adrian
id: 4A899BFC-F248-11E8-B48F-1D18A9856A87
last_name: Alistarh
orcid: 0000-0003-3650-940X
citation:
ama: 'Krumes A, Iofinova EB, Vladu A, Alistarh D-A. AC/DC: Alternating Compressed/DeCompressed
training of deep neural networks. In: 35th Conference on Neural Information
Processing Systems. Vol 34. Neural Information Processing Systems Foundation;
2021:8557-8570.'
apa: 'Krumes, A., Iofinova, E. B., Vladu, A., & Alistarh, D.-A. (2021). AC/DC:
Alternating Compressed/DeCompressed training of deep neural networks. In 35th
Conference on Neural Information Processing Systems (Vol. 34, pp. 8557–8570).
Virtual, Online: Neural Information Processing Systems Foundation.'
chicago: 'Krumes, Alexandra, Eugenia B Iofinova, Adrian Vladu, and Dan-Adrian Alistarh.
“AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.”
In 35th Conference on Neural Information Processing Systems, 34:8557–70.
Neural Information Processing Systems Foundation, 2021.'
ieee: 'A. Krumes, E. B. Iofinova, A. Vladu, and D.-A. Alistarh, “AC/DC: Alternating
Compressed/DeCompressed training of deep neural networks,” in 35th Conference
on Neural Information Processing Systems, Virtual, Online, 2021, vol. 34,
pp. 8557–8570.'
ista: 'Krumes A, Iofinova EB, Vladu A, Alistarh D-A. 2021. AC/DC: Alternating Compressed/DeCompressed
training of deep neural networks. 35th Conference on Neural Information Processing
Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information
Processing Systems, vol. 34, 8557–8570.'
mla: 'Krumes, Alexandra, et al. “AC/DC: Alternating Compressed/DeCompressed Training
of Deep Neural Networks.” 35th Conference on Neural Information Processing
Systems, vol. 34, Neural Information Processing Systems Foundation, 2021,
pp. 8557–70.'
short: A. Krumes, E.B. Iofinova, A. Vladu, D.-A. Alistarh, in:, 35th Conference
on Neural Information Processing Systems, Neural Information Processing Systems
Foundation, 2021, pp. 8557–8570.
conference:
end_date: 2021-12-14
location: Virtual, Online
name: 'NeurIPS: Neural Information Processing Systems'
start_date: 2021-12-06
corr_author: '1'
date_created: 2022-06-20T12:11:53Z
date_published: 2021-12-06T00:00:00Z
date_updated: 2026-06-18T17:18:20Z
day: '06'
ddc:
- '000'
department:
- _id: GradSch
- _id: DaAl
ec_funded: 1
external_id:
arxiv:
- '2106.12379'
intvolume: ' 34'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://proceedings.neurips.cc/paper/2021/file/48000647b315f6f00f913caa757a70b3-Paper.pdf
month: '12'
oa: 1
oa_version: Published Version
page: 8557-8570
project:
- _id: 268A44D6-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '805223'
name: Elastic Coordination for Scalable Machine Learning
publication: 35th Conference on Neural Information Processing Systems
publication_identifier:
isbn:
- '9781713845393'
issn:
- 1049-5258
publication_status: published
publisher: Neural Information Processing Systems Foundation
quality_controlled: '1'
related_material:
record:
- id: '13074'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: 'AC/DC: Alternating Compressed/DeCompressed training of deep neural networks'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 34
year: '2021'
...
---
_id: '10146'
abstract:
- lang: eng
text: The enzymes of the mitochondrial electron transport chain are key players
of cell metabolism. Despite being active when isolated, in vivo they associate
into supercomplexes1, whose precise role is debated. Supercomplexes CIII2CIV1-2
(refs. 2,3), CICIII2 (ref. 4) and CICIII2CIV (respirasome)5,6,7,8,9,10 exist in
mammals, but in contrast to CICIII2 and the respirasome, to date the only known
eukaryotic structures of CIII2CIV1-2 come from Saccharomyces cerevisiae11,12 and
plants13, which have different organization. Here we present the first, to our
knowledge, structures of mammalian (mouse and ovine) CIII2CIV and its assembly
intermediates, in different conformations. We describe the assembly of CIII2CIV
from the CIII2 precursor to the final CIII2CIV conformation, driven by the insertion
of the N terminus of the assembly factor SCAF1 (ref. 14) deep into CIII2, while
its C terminus is integrated into CIV. Our structures (which include CICIII2 and
the respirasome) also confirm that SCAF1 is exclusively required for the assembly
of CIII2CIV and has no role in the assembly of the respirasome. We show that CIII2
is asymmetric due to the presence of only one copy of subunit 9, which straddles
both monomers and prevents the attachment of a second copy of SCAF1 to CIII2,
explaining the presence of one copy of CIV in CIII2CIV in mammals. Finally, we
show that CIII2 and CIV gain catalytic advantage when assembled into the supercomplex
and propose a role for CIII2CIV in fine tuning the efficiency of electron transfer
in the electron transport chain.
acknowledged_ssus:
- _id: PreCl
- _id: EM-Fac
- _id: ScienComp
acknowledgement: We thank the pre-clinical facility of the IST Austria and A. Venturino
for assistance with the animals; and V.-V. Hodirnau for assistance during the Titan
Krios data collection, performed at the IST Austria. The data processing was performed
at the IST high-performance computing cluster. This project has received funding
from the European Union’s Horizon 2020 research and innovation program under the
Marie Skłodowska-Curie grant agreement no. 754411.
article_processing_charge: No
article_type: original
author:
- first_name: Irene
full_name: Vercellino, Irene
id: 3ED6AF16-F248-11E8-B48F-1D18A9856A87
last_name: Vercellino
orcid: 0000-0001-5618-3449
- first_name: Leonid A
full_name: Sazanov, Leonid A
id: 338D39FE-F248-11E8-B48F-1D18A9856A87
last_name: Sazanov
orcid: 0000-0002-0977-7989
citation:
ama: Vercellino I, Sazanov LA. Structure and assembly of the mammalian mitochondrial
supercomplex CIII2CIV. Nature. 2021;598(7880):364-367. doi:10.1038/s41586-021-03927-z
apa: Vercellino, I., & Sazanov, L. A. (2021). Structure and assembly of the
mammalian mitochondrial supercomplex CIII2CIV. Nature. Springer
Nature. https://doi.org/10.1038/s41586-021-03927-z
chicago: Vercellino, Irene, and Leonid A Sazanov. “Structure and Assembly of the
Mammalian Mitochondrial Supercomplex CIII2CIV.” Nature. Springer
Nature, 2021. https://doi.org/10.1038/s41586-021-03927-z.
ieee: I. Vercellino and L. A. Sazanov, “Structure and assembly of the mammalian
mitochondrial supercomplex CIII2CIV,” Nature, vol. 598, no.
7880. Springer Nature, pp. 364–367, 2021.
ista: Vercellino I, Sazanov LA. 2021. Structure and assembly of the mammalian mitochondrial
supercomplex CIII2CIV. Nature. 598(7880), 364–367.
mla: Vercellino, Irene, and Leonid A. Sazanov. “Structure and Assembly of the Mammalian
Mitochondrial Supercomplex CIII2CIV.” Nature, vol. 598, no.
7880, Springer Nature, 2021, pp. 364–67, doi:10.1038/s41586-021-03927-z.
short: I. Vercellino, L.A. Sazanov, Nature 598 (2021) 364–367.
corr_author: '1'
date_created: 2021-10-17T22:01:17Z
date_published: 2021-10-14T00:00:00Z
date_updated: 2025-04-14T07:43:46Z
day: '14'
department:
- _id: LeSa
doi: 10.1038/s41586-021-03927-z
ec_funded: 1
external_id:
isi:
- '000704581600001'
pmid:
- '34616041'
intvolume: ' 598'
isi: 1
issue: '7880'
language:
- iso: eng
month: '10'
oa_version: None
page: 364-367
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Nature
publication_identifier:
eissn:
- 1476-4687
issn:
- 0028-0836
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- description: News on IST Webpage
relation: press_release
url: https://ist.ac.at/en/news/boosting-the-cells-power-house/
scopus_import: '1'
status: public
title: Structure and assembly of the mammalian mitochondrial supercomplex CIII2CIV
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 598
year: '2021'
...
---
_id: '10166'
abstract:
- lang: eng
text: While sexual reproduction is widespread among many taxa, asexual lineages
have repeatedly evolved from sexual ancestors. Despite extensive research on the
evolution of sex, it is still unclear whether this switch represents a major transition
requiring major molecular reorganization, and how convergent the changes involved
are. In this study, we investigated the phylogenetic relationship and patterns
of gene expression of sexual and asexual lineages of Eurasian Artemia brine shrimp,
to assess how gene expression patterns are affected by the transition to asexuality.
We find only a few genes that are consistently associated with the evolution of
asexuality, suggesting that this shift may not require an extensive overhauling
of the meiotic machinery. While genes with sex-biased expression have high rates
of expression divergence within Eurasian Artemia, neither female- nor male-biased
genes appear to show unusual evolutionary patterns after sexuality is lost, contrary
to theoretical expectations.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: We thank the Vicoso laboratory, Thomas Lenormand and Tanja Schwander
for helpful discussions, the group of Gonzalo Gajardo, especially Cristian Gallardo-Escárate
and Margarita Parraguez Donoso, for sequencing data and advice, and the IST Scientific
Computing Group for their support. This work was supported by the European Research
Council under the European Union's Horizon 2020 research and innovation program
(grant agreement no. 715257).
article_number: '20211720'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Ann K
full_name: Huylmans, Ann K
id: 4C0A3874-F248-11E8-B48F-1D18A9856A87
last_name: Huylmans
orcid: 0000-0001-8871-4961
- first_name: Ariana
full_name: Macon, Ariana
id: 2A0848E2-F248-11E8-B48F-1D18A9856A87
last_name: Macon
- first_name: Francisco
full_name: Hontoria, Francisco
last_name: Hontoria
- first_name: Beatriz
full_name: Vicoso, Beatriz
id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87
last_name: Vicoso
orcid: 0000-0002-4579-8306
citation:
ama: 'Huylmans AK, Macon A, Hontoria F, Vicoso B. Transitions to asexuality and
evolution of gene expression in Artemia brine shrimp. Proceedings of the Royal
Society B: Biological Sciences. 2021;288(1959). doi:10.1098/rspb.2021.1720'
apa: 'Huylmans, A. K., Macon, A., Hontoria, F., & Vicoso, B. (2021). Transitions
to asexuality and evolution of gene expression in Artemia brine shrimp. Proceedings
of the Royal Society B: Biological Sciences. The Royal Society. https://doi.org/10.1098/rspb.2021.1720'
chicago: 'Huylmans, Ann K, Ariana Macon, Francisco Hontoria, and Beatriz Vicoso.
“Transitions to Asexuality and Evolution of Gene Expression in Artemia Brine Shrimp.”
Proceedings of the Royal Society B: Biological Sciences. The Royal Society,
2021. https://doi.org/10.1098/rspb.2021.1720.'
ieee: 'A. K. Huylmans, A. Macon, F. Hontoria, and B. Vicoso, “Transitions to asexuality
and evolution of gene expression in Artemia brine shrimp,” Proceedings of the
Royal Society B: Biological Sciences, vol. 288, no. 1959. The Royal Society,
2021.'
ista: 'Huylmans AK, Macon A, Hontoria F, Vicoso B. 2021. Transitions to asexuality
and evolution of gene expression in Artemia brine shrimp. Proceedings of the Royal
Society B: Biological Sciences. 288(1959), 20211720.'
mla: 'Huylmans, Ann K., et al. “Transitions to Asexuality and Evolution of Gene
Expression in Artemia Brine Shrimp.” Proceedings of the Royal Society B: Biological
Sciences, vol. 288, no. 1959, 20211720, The Royal Society, 2021, doi:10.1098/rspb.2021.1720.'
short: 'A.K. Huylmans, A. Macon, F. Hontoria, B. Vicoso, Proceedings of the Royal
Society B: Biological Sciences 288 (2021).'
date_created: 2021-10-21T07:46:06Z
date_published: 2021-09-22T00:00:00Z
date_updated: 2025-04-14T07:41:20Z
day: '22'
ddc:
- '595'
department:
- _id: BeVi
doi: 10.1098/rspb.2021.1720
ec_funded: 1
external_id:
isi:
- '000697643700001'
pmid:
- '34547909'
file:
- access_level: open_access
checksum: 76e7f253b7040bca2ad76f82bd7c45c0
content_type: application/pdf
creator: cchlebak
date_created: 2021-10-22T11:48:02Z
date_updated: 2021-10-22T11:48:02Z
file_id: '10172'
file_name: 2021_ProRoSocBBioSci_Huylmans.pdf
file_size: 995806
relation: main_file
success: 1
file_date_updated: 2021-10-22T11:48:02Z
has_accepted_license: '1'
intvolume: ' 288'
isi: 1
issue: '1959'
keyword:
- asexual reproduction
- parthenogenesis
- sex-biased genes
- sexual conflict
- automixis
- crustaceans
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 250BDE62-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715257'
name: Prevalence and Influence of Sexual Antagonism on Genome Evolution
publication: 'Proceedings of the Royal Society B: Biological Sciences'
publication_identifier:
eissn:
- 1471-2954
issn:
- 0962-8452
publication_status: published
publisher: The Royal Society
quality_controlled: '1'
related_material:
link:
- relation: supplementary_material
url: https://doi.org/10.6084/m9.figshare.c.5615488.v1
record:
- id: '9949'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Transitions to asexuality and evolution of gene expression in Artemia brine
shrimp
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 288
year: '2021'
...
---
_id: '10535'
abstract:
- lang: eng
text: Realistic models of biological processes typically involve interacting components
on multiple scales, driven by changing environment and inherent stochasticity.
Such models are often analytically and numerically intractable. We revisit a dynamic
maximum entropy method that combines a static maximum entropy with a quasi-stationary
approximation. This allows us to reduce stochastic non-equilibrium dynamics expressed
by the Fokker-Planck equation to a simpler low-dimensional deterministic dynamics,
without the need to track microscopic details. Although the method has been previously
applied to a few (rather complicated) applications in population genetics, our
main goal here is to explain and to better understand how the method works. We
demonstrate the usefulness of the method for two widely studied stochastic problems,
highlighting its accuracy in capturing important macroscopic quantities even in
rapidly changing non-stationary conditions. For the Ornstein-Uhlenbeck process,
the method recovers the exact dynamics whilst for a stochastic island model with
migration from other habitats, the approximation retains high macroscopic accuracy
under a wide range of scenarios in a dynamic environment.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "Computational resources for the study were provided by the Institute
of Science and Technology, Austria.\r\nKB received funding from the Scientific Grant
Agency of the Slovak Republic under the Grants Nos. 1/0755/19 and 1/0521/20."
article_number: e1009661
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Katarína
full_name: Bod'ová, Katarína
id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87
last_name: Bod'ová
orcid: 0000-0002-7214-0171
- first_name: Eniko
full_name: Szep, Eniko
id: 485BB5A4-F248-11E8-B48F-1D18A9856A87
last_name: Szep
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Bodova K, Szep E, Barton NH. Dynamic maximum entropy provides accurate approximation
of structured population dynamics. PLoS Computational Biology. 2021;17(12).
doi:10.1371/journal.pcbi.1009661
apa: Bodova, K., Szep, E., & Barton, N. H. (2021). Dynamic maximum entropy provides
accurate approximation of structured population dynamics. PLoS Computational
Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1009661
chicago: Bodova, Katarina, Eniko Szep, and Nicholas H Barton. “Dynamic Maximum Entropy
Provides Accurate Approximation of Structured Population Dynamics.” PLoS Computational
Biology. Public Library of Science, 2021. https://doi.org/10.1371/journal.pcbi.1009661.
ieee: K. Bodova, E. Szep, and N. H. Barton, “Dynamic maximum entropy provides accurate
approximation of structured population dynamics,” PLoS Computational Biology,
vol. 17, no. 12. Public Library of Science, 2021.
ista: Bodova K, Szep E, Barton NH. 2021. Dynamic maximum entropy provides accurate
approximation of structured population dynamics. PLoS Computational Biology. 17(12),
e1009661.
mla: Bodova, Katarina, et al. “Dynamic Maximum Entropy Provides Accurate Approximation
of Structured Population Dynamics.” PLoS Computational Biology, vol. 17,
no. 12, e1009661, Public Library of Science, 2021, doi:10.1371/journal.pcbi.1009661.
short: K. Bodova, E. Szep, N.H. Barton, PLoS Computational Biology 17 (2021).
corr_author: '1'
date_created: 2021-12-12T23:01:27Z
date_published: 2021-12-01T00:00:00Z
date_updated: 2024-10-09T21:01:16Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
- _id: GaTk
doi: 10.1371/journal.pcbi.1009661
external_id:
arxiv:
- '2102.03669'
pmid:
- '34851948'
file:
- access_level: open_access
checksum: dcd185d4f7e0acee25edf1d6537f447e
content_type: application/pdf
creator: dernst
date_created: 2022-05-16T08:53:11Z
date_updated: 2022-05-16T08:53:11Z
file_id: '11383'
file_name: 2021_PLOsComBio_Bodova.pdf
file_size: 2299486
relation: main_file
success: 1
file_date_updated: 2022-05-16T08:53:11Z
has_accepted_license: '1'
intvolume: ' 17'
issue: '12'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLoS Computational Biology
publication_identifier:
eissn:
- 1553-7358
issn:
- 1553-734X
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Dynamic maximum entropy provides accurate approximation of structured population
dynamics
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 17
year: '2021'
...
---
_id: '9168'
abstract:
- lang: eng
text: Interspecific crossing experiments have shown that sex chromosomes play a
major role in reproductive isolation between many pairs of species. However, their
ability to act as reproductive barriers, which hamper interspecific genetic exchange,
has rarely been evaluated quantitatively compared to Autosomes. This genome-wide
limitation of gene flow is essential for understanding the complete separation
of species, and thus speciation. Here, we develop a mainland-island model of secondary
contact between hybridizing species of an XY (or ZW) sexual system. We obtain
theoretical predictions for the frequency of introgressed alleles, and the strength
of the barrier to neutral gene flow for the two types of chromosomes carrying
multiple interspecific barrier loci. Theoretical predictions are obtained for
scenarios where introgressed alleles are rare. We show that the same analytical
expressions apply for sex chromosomes and autosomes, but with different sex-averaged
effective parameters. The specific features of sex chromosomes (hemizygosity and
absence of recombination in the heterogametic sex) lead to reduced levels of introgression
on the X (or Z) compared to autosomes. This effect can be enhanced by certain
types of sex-biased forces, but it remains overall small (except when alleles
causing incompatibilities are recessive). We discuss these predictions in the
light of empirical data comprising model-based tests of introgression and cline
surveys in various biological systems.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "The computations were performed with the IST Austria High-Performance
Computing (HPC) Cluster and the Institut Français de Bioinformatique (IFB) Core
Cluster. We are grateful to Nick Barton and Beatriz Vicoso for critical comments
on the model and the manuscript. We also thank Brian Charlesworth, Stuart Baird,
and an anonymous reviewer for insightful comments.\r\nC.F. was supported by an Austrian
Science Foundation FWF grant (Project M 2463-B29)."
article_number: iyaa025
article_processing_charge: No
article_type: original
author:
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Himani
full_name: Sachdeva, Himani
id: 42377A0A-F248-11E8-B48F-1D18A9856A87
last_name: Sachdeva
citation:
ama: 'Fraisse C, Sachdeva H. The rates of introgression and barriers to genetic
exchange between hybridizing species: Sex chromosomes vs autosomes. Genetics.
2021;217(2). doi:10.1093/genetics/iyaa025'
apa: 'Fraisse, C., & Sachdeva, H. (2021). The rates of introgression and barriers
to genetic exchange between hybridizing species: Sex chromosomes vs autosomes.
Genetics. Genetics Society of America. https://doi.org/10.1093/genetics/iyaa025'
chicago: 'Fraisse, Christelle, and Himani Sachdeva. “The Rates of Introgression
and Barriers to Genetic Exchange between Hybridizing Species: Sex Chromosomes
vs Autosomes.” Genetics. Genetics Society of America, 2021. https://doi.org/10.1093/genetics/iyaa025.'
ieee: 'C. Fraisse and H. Sachdeva, “The rates of introgression and barriers to genetic
exchange between hybridizing species: Sex chromosomes vs autosomes,” Genetics,
vol. 217, no. 2. Genetics Society of America, 2021.'
ista: 'Fraisse C, Sachdeva H. 2021. The rates of introgression and barriers to genetic
exchange between hybridizing species: Sex chromosomes vs autosomes. Genetics.
217(2), iyaa025.'
mla: 'Fraisse, Christelle, and Himani Sachdeva. “The Rates of Introgression and
Barriers to Genetic Exchange between Hybridizing Species: Sex Chromosomes vs Autosomes.”
Genetics, vol. 217, no. 2, iyaa025, Genetics Society of America, 2021,
doi:10.1093/genetics/iyaa025.'
short: C. Fraisse, H. Sachdeva, Genetics 217 (2021).
corr_author: '1'
date_created: 2021-02-18T14:41:30Z
date_published: 2021-02-01T00:00:00Z
date_updated: 2026-06-18T19:40:39Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1093/genetics/iyaa025
external_id:
isi:
- '000637218100005'
pmid:
- '33724409'
intvolume: ' 217'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1093/genetics/iyaa025
month: '02'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 2662AADE-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: M02463
name: Sex chromosomes and species barriers
publication: Genetics
publication_identifier:
issn:
- 1943-2631
publication_status: published
publisher: Genetics Society of America
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'The rates of introgression and barriers to genetic exchange between hybridizing
species: Sex chromosomes vs autosomes'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 217
year: '2021'
...
---
OA_place: publisher
_id: '9418'
abstract:
- lang: eng
text: "Deep learning is best known for its empirical success across a wide range
of applications\r\nspanning computer vision, natural language processing and speech.
Of equal significance,\r\nthough perhaps less known, are its ramifications for
learning theory: deep networks have\r\nbeen observed to perform surprisingly well
in the high-capacity regime, aka the overfitting\r\nor underspecified regime.
Classically, this regime on the far right of the bias-variance curve\r\nis associated
with poor generalisation; however, recent experiments with deep networks\r\nchallenge
this view.\r\n\r\nThis thesis is devoted to investigating various aspects of underspecification
in deep learning.\r\nFirst, we argue that deep learning models are underspecified
on two levels: a) any given\r\ntraining dataset can be fit by many different functions,
and b) any given function can be\r\nexpressed by many different parameter configurations.
We refer to the second kind of\r\nunderspecification as parameterisation redundancy
and we precisely characterise its extent.\r\nSecond, we characterise the implicit
criteria (the inductive bias) that guide learning in the\r\nunderspecified regime.
Specifically, we consider a nonlinear but tractable classification\r\nsetting,
and show that given the choice, neural networks learn classifiers with a large
margin.\r\nThird, we consider learning scenarios where the inductive bias is not
by itself sufficient to\r\ndeal with underspecification. We then study different
ways of ‘tightening the specification’: i)\r\nIn the setting of representation
learning with variational autoencoders, we propose a hand-\r\ncrafted regulariser
based on mutual information. ii) In the setting of binary classification, we\r\nconsider
soft-label (real-valued) supervision. We derive a generalisation bound for linear\r\nnetworks
supervised in this way and verify that soft labels facilitate fast learning. Finally,
we\r\nexplore an application of soft-label supervision to the training of multi-exit
models."
acknowledged_ssus:
- _id: ScienComp
- _id: CampIT
- _id: E-Lib
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Phuong
full_name: Bui Thi Mai, Phuong
id: 3EC6EE64-F248-11E8-B48F-1D18A9856A87
last_name: Bui Thi Mai
citation:
ama: Phuong M. Underspecification in deep learning. 2021. doi:10.15479/AT:ISTA:9418
apa: Phuong, M. (2021). Underspecification in deep learning. Institute of
Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:9418
chicago: Phuong, Mary. “Underspecification in Deep Learning.” Institute of Science
and Technology Austria, 2021. https://doi.org/10.15479/AT:ISTA:9418.
ieee: M. Phuong, “Underspecification in deep learning,” Institute of Science and
Technology Austria, 2021.
ista: Phuong M. 2021. Underspecification in deep learning. Institute of Science
and Technology Austria.
mla: Phuong, Mary. Underspecification in Deep Learning. Institute of Science
and Technology Austria, 2021, doi:10.15479/AT:ISTA:9418.
short: M. Phuong, Underspecification in Deep Learning, Institute of Science and
Technology Austria, 2021.
corr_author: '1'
date_created: 2021-05-24T13:06:23Z
date_published: 2021-05-30T00:00:00Z
date_updated: 2026-04-08T07:01:17Z
day: '30'
ddc:
- '000'
degree_awarded: PhD
department:
- _id: GradSch
- _id: ChLa
doi: 10.15479/AT:ISTA:9418
file:
- access_level: open_access
checksum: 4f0abe64114cfed264f9d36e8d1197e3
content_type: application/pdf
creator: bphuong
date_created: 2021-05-24T11:22:29Z
date_updated: 2021-05-24T11:22:29Z
file_id: '9419'
file_name: mph-thesis-v519-pdfimages.pdf
file_size: 2673905
relation: main_file
success: 1
- access_level: closed
checksum: f5699e876bc770a9b0df8345a77720a2
content_type: application/zip
creator: bphuong
date_created: 2021-05-24T11:56:02Z
date_updated: 2021-05-24T11:56:02Z
file_id: '9420'
file_name: thesis.zip
file_size: 92995100
relation: source_file
file_date_updated: 2021-05-24T11:56:02Z
has_accepted_license: '1'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: '125'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '7435'
relation: part_of_dissertation
status: deleted
- id: '7481'
relation: part_of_dissertation
status: public
- id: '9416'
relation: part_of_dissertation
status: public
- id: '7479'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
title: Underspecification in deep learning
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2021'
...
---
_id: '9431'
abstract:
- lang: eng
text: Inositol hexakisphosphate (IP6) is an assembly cofactor for HIV-1. We report
here that IP6 is also used for assembly of Rous sarcoma virus (RSV), a retrovirus
from a different genus. IP6 is ~100-fold more potent at promoting RSV mature capsid
protein (CA) assembly than observed for HIV-1 and removal of IP6 in cells reduces
infectivity by 100-fold. Here, visualized by cryo-electron tomography and subtomogram
averaging, mature capsid-like particles show an IP6-like density in the CA hexamer,
coordinated by rings of six lysines and six arginines. Phosphate and IP6 have
opposing effects on CA in vitro assembly, inducing formation of T = 1 icosahedrons
and tubes, respectively, implying that phosphate promotes pentamer and IP6 hexamer
formation. Subtomogram averaging and classification optimized for analysis of
pleomorphic retrovirus particles reveal that the heterogeneity of mature RSV CA
polyhedrons results from an unexpected, intrinsic CA hexamer flexibility. In contrast,
the CA pentamer forms rigid units organizing the local architecture. These different
features of hexamers and pentamers determine the structural mechanism to form
CA polyhedrons of variable shape in mature RSV particles.
acknowledged_ssus:
- _id: ScienComp
- _id: LifeSc
- _id: EM-Fac
acknowledgement: This work was funded by the National Institute of Allergy and Infectious
Diseases under awards R01AI147890 to R.A.D., R01AI150454 to V.M.V, R35GM136258 in
support of J-P.R.F, and the Austrian Science Fund (FWF) grant P31445 to F.K.M.S.
Access to high-resolution cryo-ET data acquisition at EMBL Heidelberg was supported
by iNEXT (grant no. 653706), funded by the Horizon 2020 program of the European
Union (PID 4246). We thank Wim Hagen and Felix Weis at EMBL Heidelberg for support
in cryo-ET data acquisition. This work made use of the Cornell Center for Materials
Research Shared Facilities, which are supported through the NSF MRSEC program (DMR-179875).
This research was also supported by the Scientific Service Units (SSUs) of IST Austria
through resources provided by Scientific Computing (SciComp), the Life Science Facility
(LSF), and the Electron Microscopy Facility (EMF).
article_number: '3226'
article_processing_charge: No
article_type: original
author:
- first_name: Martin
full_name: Obr, Martin
id: 4741CA5A-F248-11E8-B48F-1D18A9856A87
last_name: Obr
orcid: 0000-0003-1756-6564
- first_name: Clifton L.
full_name: Ricana, Clifton L.
last_name: Ricana
- first_name: Nadia
full_name: Nikulin, Nadia
last_name: Nikulin
- first_name: Jon-Philip R.
full_name: Feathers, Jon-Philip R.
last_name: Feathers
- first_name: Marco
full_name: Klanschnig, Marco
last_name: Klanschnig
- first_name: Andreas
full_name: Thader, Andreas
id: 3A18A7B8-F248-11E8-B48F-1D18A9856A87
last_name: Thader
- first_name: Marc C.
full_name: Johnson, Marc C.
last_name: Johnson
- first_name: Volker M.
full_name: Vogt, Volker M.
last_name: Vogt
- first_name: Florian KM
full_name: Schur, Florian KM
id: 48AD8942-F248-11E8-B48F-1D18A9856A87
last_name: Schur
orcid: 0000-0003-4790-8078
- first_name: Robert A.
full_name: Dick, Robert A.
last_name: Dick
citation:
ama: Obr M, Ricana CL, Nikulin N, et al. Structure of the mature Rous sarcoma virus
lattice reveals a role for IP6 in the formation of the capsid hexamer. Nature
Communications. 2021;12(1). doi:10.1038/s41467-021-23506-0
apa: Obr, M., Ricana, C. L., Nikulin, N., Feathers, J.-P. R., Klanschnig, M., Thader,
A., … Dick, R. A. (2021). Structure of the mature Rous sarcoma virus lattice reveals
a role for IP6 in the formation of the capsid hexamer. Nature Communications.
Nature Research. https://doi.org/10.1038/s41467-021-23506-0
chicago: Obr, Martin, Clifton L. Ricana, Nadia Nikulin, Jon-Philip R. Feathers,
Marco Klanschnig, Andreas Thader, Marc C. Johnson, Volker M. Vogt, Florian KM
Schur, and Robert A. Dick. “Structure of the Mature Rous Sarcoma Virus Lattice
Reveals a Role for IP6 in the Formation of the Capsid Hexamer.” Nature Communications.
Nature Research, 2021. https://doi.org/10.1038/s41467-021-23506-0.
ieee: M. Obr et al., “Structure of the mature Rous sarcoma virus lattice
reveals a role for IP6 in the formation of the capsid hexamer,” Nature Communications,
vol. 12, no. 1. Nature Research, 2021.
ista: Obr M, Ricana CL, Nikulin N, Feathers J-PR, Klanschnig M, Thader A, Johnson
MC, Vogt VM, Schur FK, Dick RA. 2021. Structure of the mature Rous sarcoma virus
lattice reveals a role for IP6 in the formation of the capsid hexamer. Nature
Communications. 12(1), 3226.
mla: Obr, Martin, et al. “Structure of the Mature Rous Sarcoma Virus Lattice Reveals
a Role for IP6 in the Formation of the Capsid Hexamer.” Nature Communications,
vol. 12, no. 1, 3226, Nature Research, 2021, doi:10.1038/s41467-021-23506-0.
short: M. Obr, C.L. Ricana, N. Nikulin, J.-P.R. Feathers, M. Klanschnig, A. Thader,
M.C. Johnson, V.M. Vogt, F.K. Schur, R.A. Dick, Nature Communications 12 (2021).
corr_author: '1'
date_created: 2021-05-28T14:25:50Z
date_published: 2021-05-28T00:00:00Z
date_updated: 2025-04-15T08:24:49Z
day: '28'
ddc:
- '570'
department:
- _id: FlSc
doi: 10.1038/s41467-021-23506-0
external_id:
isi:
- '000659145000011'
file:
- access_level: open_access
checksum: 53ccc53d09a9111143839dbe7784e663
content_type: application/pdf
creator: kschuh
date_created: 2021-06-09T15:21:14Z
date_updated: 2021-06-09T15:21:14Z
file_id: '9538'
file_name: 2021_NatureCommunications_Obr.pdf
file_size: 6166295
relation: main_file
success: 1
file_date_updated: 2021-06-09T15:21:14Z
has_accepted_license: '1'
intvolume: ' 12'
isi: 1
issue: '1'
keyword:
- General Biochemistry
- Genetics and Molecular Biology
- General Physics and Astronomy
- General Chemistry
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
project:
- _id: 26736D6A-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P31445
name: Structural conservation and diversity in retroviral capsid
publication: Nature Communications
publication_identifier:
eissn:
- 2041-1723
publication_status: published
publisher: Nature Research
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/how-retroviruses-become-infectious/
scopus_import: '1'
status: public
title: Structure of the mature Rous sarcoma virus lattice reveals a role for IP6 in
the formation of the capsid hexamer
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 12
year: '2021'
...