---
_id: '10727'
abstract:
- lang: eng
  text: "Social insects are a common model to study disease dynamics in social animals.
    Even though pathogens should thrive in social insect colonies as the hosts engage
    in frequent social interactions, are closely related and live in a pathogen-rich
    environment, disease outbreaks are rare. This is because social insects have evolved
    mechanisms to keep pathogens at bay – and fight disease as a collective. Social
    insect colonies are often viewed as “superorganisms” with division of labor between
    reproductive “germ-like” queens and males and “somatic” workers, which together
    form an interdependent reproductive unit that parallels a multicellular body.
    Superorganisms possess a “social immune system” that comprises of collective disease
    defenses performed by the workers - summarized as “social immunity”. In social
    groups immunization (reduced susceptibility to a parasite upon secondary exposure
    to the same parasite) can e.g. be triggered by social interactions (“social immunization”).
    Social immunization can be caused by (i) asymptomatic low-level infections that
    are acquired during caregiving to a contagious individual that can give an immune
    boost, which can induce protection upon later encounter with the same pathogen
    (active immunization) or (ii) by transfer of immune effectors between individuals
    (passive immunization).\r\nIn the second chapter, I built up on a study that I
    co-authored that found that low-level infections can not only be protective, but
    also be costly and make the host more susceptible to detrimental superinfections
    after contact to a very dissimilar pathogen. I here now tested different degrees
    of phylogenetically-distant fungal strains of M. brunneum and M. robertsii in
    L. neglectus and can describe the occurrence of cross-protection of social immunization
    if the first and second pathogen are from the same level. Interestingly, low-level
    infections only provided protection when the first strain was less virulent than
    the second strain and elicited higher immune gene expression.\r\nIn the third
    and fourth chapters, I expanded on the role of social immunity in sexual selection,
    a so far unstudied field. I used the fungus Metarhizium robertsii and the ant
    Cardiocondyla obscurior as a model, as in this species mating occurs in the presence
    of workers and can be studied under laboratory conditions. Before males mate with
    virgin queens in the nest they engage in fierce combat over the access to their
    mating partners.\r\nFirst, I focused on male-male competition in the third chapter
    and found that fighting with a contagious male is costly as it can lead to contamination
    of the rival, but that workers can decrease the risk of disease contraction by
    performing sanitary care.\r\nIn the fourth chapter, I studied the effect of fungal
    infection on survival and mating success of sexuals (freshly emerged queens and
    males) and found that worker-performed sanitary care can buffer the negative effect
    that a pathogenic contagion would have on sexuals by spore removal from the exposed
    individuals. When social immunity was prevented and queens could contract spores
    from their mating partner, very low dosages led to negative consequences: their
    lifespan was reduced and they produced fewer offspring with poor immunocompetence
    compared to healthy queens. Interestingly, cohabitation with a late-stage infected
    male where no spore transfer was possible had a positive effect on offspring immunity
    – male offspring of mothers that apparently perceived an infected partner in their
    vicinity reacted more sensitively to fungal challenge than male offspring without
    paternal pathogen history."
acknowledged_ssus:
- _id: LifeSc
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Sina
  full_name: Metzler, Sina
  id: 48204546-F248-11E8-B48F-1D18A9856A87
  last_name: Metzler
  orcid: 0000-0002-9547-2494
citation:
  ama: Metzler S. Pathogen-mediated sexual selection and immunization in ant colonies.
    2022. doi:<a href="https://doi.org/10.15479/AT:ISTA:10727">10.15479/AT:ISTA:10727</a>
  apa: Metzler, S. (2022). <i>Pathogen-mediated sexual selection and immunization
    in ant colonies</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT:ISTA:10727">https://doi.org/10.15479/AT:ISTA:10727</a>
  chicago: Metzler, Sina. “Pathogen-Mediated Sexual Selection and Immunization in
    Ant Colonies.” Institute of Science and Technology Austria, 2022. <a href="https://doi.org/10.15479/AT:ISTA:10727">https://doi.org/10.15479/AT:ISTA:10727</a>.
  ieee: S. Metzler, “Pathogen-mediated sexual selection and immunization in ant colonies,”
    Institute of Science and Technology Austria, 2022.
  ista: Metzler S. 2022. Pathogen-mediated sexual selection and immunization in ant
    colonies. Institute of Science and Technology Austria.
  mla: Metzler, Sina. <i>Pathogen-Mediated Sexual Selection and Immunization in Ant
    Colonies</i>. Institute of Science and Technology Austria, 2022, doi:<a href="https://doi.org/10.15479/AT:ISTA:10727">10.15479/AT:ISTA:10727</a>.
  short: S. Metzler, Pathogen-Mediated Sexual Selection and Immunization in Ant Colonies,
    Institute of Science and Technology Austria, 2022.
date_created: 2022-02-04T15:45:12Z
date_published: 2022-02-07T00:00:00Z
date_updated: 2023-09-07T13:43:23Z
day: '07'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: SyCr
doi: 10.15479/AT:ISTA:10727
ec_funded: 1
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file_date_updated: 2023-02-04T23:30:03Z
has_accepted_license: '1'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
project:
- _id: 2649B4DE-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '771402'
  name: Epidemics in ant societies on a chip
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Sylvia
  full_name: Cremer, Sylvia
  id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87
  last_name: Cremer
  orcid: 0000-0002-2193-3868
title: Pathogen-mediated sexual selection and immunization in ant colonies
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2022'
...
---
_id: '10759'
abstract:
- lang: eng
  text: In this Thesis, I study composite quantum impurities with variational techniques,
    both inspired by machine learning as well as fully analytic. I supplement this
    with exploration of other applications of machine learning, in particular artificial
    neural networks, in many-body physics. In Chapters 3 and 4, I study quasiparticle
    systems with variational approach. I derive a Hamiltonian describing the angulon
    quasiparticle in the presence of a magnetic field. I apply analytic variational
    treatment to this Hamiltonian. Then, I introduce a variational approach for non-additive
    systems, based on artificial neural networks. I exemplify this approach on the
    example of the polaron quasiparticle (Fröhlich Hamiltonian). In Chapter 5, I continue
    using artificial neural networks, albeit in a different setting. I apply artificial
    neural networks to detect phases from snapshots of two types physical systems.
    Namely, I study Monte Carlo snapshots of multilayer classical spin models as well
    as molecular dynamics maps of colloidal systems. The main type of networks that
    I use here are convolutional neural networks, known for their applicability to
    image data.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Wojciech
  full_name: Rzadkowski, Wojciech
  id: 48C55298-F248-11E8-B48F-1D18A9856A87
  last_name: Rzadkowski
  orcid: 0000-0002-1106-4419
citation:
  ama: Rzadkowski W. Analytic and machine learning approaches to composite quantum
    impurities. 2022. doi:<a href="https://doi.org/10.15479/at:ista:10759">10.15479/at:ista:10759</a>
  apa: Rzadkowski, W. (2022). <i>Analytic and machine learning approaches to composite
    quantum impurities</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:10759">https://doi.org/10.15479/at:ista:10759</a>
  chicago: Rzadkowski, Wojciech. “Analytic and Machine Learning Approaches to Composite
    Quantum Impurities.” Institute of Science and Technology Austria, 2022. <a href="https://doi.org/10.15479/at:ista:10759">https://doi.org/10.15479/at:ista:10759</a>.
  ieee: W. Rzadkowski, “Analytic and machine learning approaches to composite quantum
    impurities,” Institute of Science and Technology Austria, 2022.
  ista: Rzadkowski W. 2022. Analytic and machine learning approaches to composite
    quantum impurities. Institute of Science and Technology Austria.
  mla: Rzadkowski, Wojciech. <i>Analytic and Machine Learning Approaches to Composite
    Quantum Impurities</i>. Institute of Science and Technology Austria, 2022, doi:<a
    href="https://doi.org/10.15479/at:ista:10759">10.15479/at:ista:10759</a>.
  short: W. Rzadkowski, Analytic and Machine Learning Approaches to Composite Quantum
    Impurities, Institute of Science and Technology Austria, 2022.
date_created: 2022-02-16T13:27:37Z
date_published: 2022-02-21T00:00:00Z
date_updated: 2024-08-07T07:16:53Z
day: '21'
ddc:
- '530'
degree_awarded: PhD
department:
- _id: GradSch
- _id: MiLe
doi: 10.15479/at:ista:10759
ec_funded: 1
file:
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  date_updated: 2022-02-22T07:20:12Z
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  file_name: Rzadkowski_thesis_final_source.zip
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  date_created: 2022-02-21T14:02:54Z
  date_updated: 2022-02-21T14:02:54Z
  file_id: '10786'
  file_name: Rzadkowski_thesis_final.pdf
  file_size: 13307331
  relation: main_file
  success: 1
file_date_updated: 2022-02-22T07:20:12Z
has_accepted_license: '1'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '120'
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:
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    relation: part_of_dissertation
    status: public
  - id: '7956'
    relation: part_of_dissertation
    status: public
  - id: '415'
    relation: part_of_dissertation
    status: public
  - id: '8644'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Mikhail
  full_name: Lemeshko, Mikhail
  id: 37CB05FA-F248-11E8-B48F-1D18A9856A87
  last_name: Lemeshko
  orcid: 0000-0002-6990-7802
title: Analytic and machine learning approaches to composite quantum impurities
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2022'
...
---
_id: '10787'
abstract:
- lang: eng
  text: "A species distributed across diverse environments may adapt to local conditions.
    We ask how quickly such a species changes its range in response to changed conditions.
    Szép et al. (Szép E, Sachdeva H, Barton NH. 2021 Polygenic local adaptation in
    metapopulations: a stochastic eco-evolutionary model. Evolution75, 1030–1045 (doi:10.1111/evo.14210))
    used the infinite island model to find the stationary distribution of allele frequencies
    and deme sizes. We extend this to find how a metapopulation responds to changes
    in carrying capacity, selection strength, or migration rate when deme sizes are
    fixed. We further develop a ‘fixed-state’ approximation. Under this approximation,
    polymorphism is only possible for a narrow range of habitat proportions when selection
    is weak compared to drift, but for a much wider range otherwise. When rates of
    selection or migration relative to drift change in a single deme of the metapopulation,
    the population takes a time of order m−1 to reach the new equilibrium. However,
    even with many loci, there can be substantial fluctuations in net adaptation,
    because at each locus, alleles randomly get lost or fixed. Thus, in a finite metapopulation,
    variation may gradually be lost by chance, even if it would persist in an infinite
    metapopulation. When conditions change across the whole metapopulation, there
    can be rapid change, which is predicted well by the fixed-state approximation.
    This work helps towards an understanding of how metapopulations extend their range
    across diverse environments.\r\nThis article is part of the theme issue ‘Species’
    ranges in the face of changing environments (Part II)’."
acknowledgement: This research was partly funded by the Austrian Science Fund (FWF)
  [FWF P-32896B].
article_processing_charge: No
article_type: original
author:
- first_name: Nicholas H
  full_name: Barton, Nicholas H
  id: 4880FE40-F248-11E8-B48F-1D18A9856A87
  last_name: Barton
  orcid: 0000-0002-8548-5240
- first_name: Oluwafunmilola O
  full_name: Olusanya, Oluwafunmilola O
  id: 41AD96DC-F248-11E8-B48F-1D18A9856A87
  last_name: Olusanya
  orcid: 0000-0003-1971-8314
citation:
  ama: 'Barton NH, Olusanya OO. The response of a metapopulation to a changing environment.
    <i>Philosophical Transactions of the Royal Society B: Biological Sciences</i>.
    2022;377(1848). doi:<a href="https://doi.org/10.1098/rstb.2021.0009">10.1098/rstb.2021.0009</a>'
  apa: 'Barton, N. H., &#38; Olusanya, O. O. (2022). The response of a metapopulation
    to a changing environment. <i>Philosophical Transactions of the Royal Society
    B: Biological Sciences</i>. The Royal Society. <a href="https://doi.org/10.1098/rstb.2021.0009">https://doi.org/10.1098/rstb.2021.0009</a>'
  chicago: 'Barton, Nicholas H, and Oluwafunmilola O Olusanya. “The Response of a
    Metapopulation to a Changing Environment.” <i>Philosophical Transactions of the
    Royal Society B: Biological Sciences</i>. The Royal Society, 2022. <a href="https://doi.org/10.1098/rstb.2021.0009">https://doi.org/10.1098/rstb.2021.0009</a>.'
  ieee: 'N. H. Barton and O. O. Olusanya, “The response of a metapopulation to a changing
    environment,” <i>Philosophical Transactions of the Royal Society B: Biological
    Sciences</i>, vol. 377, no. 1848. The Royal Society, 2022.'
  ista: 'Barton NH, Olusanya OO. 2022. The response of a metapopulation to a changing
    environment. Philosophical Transactions of the Royal Society B: Biological Sciences.
    377(1848).'
  mla: 'Barton, Nicholas H., and Oluwafunmilola O. Olusanya. “The Response of a Metapopulation
    to a Changing Environment.” <i>Philosophical Transactions of the Royal Society
    B: Biological Sciences</i>, vol. 377, no. 1848, The Royal Society, 2022, doi:<a
    href="https://doi.org/10.1098/rstb.2021.0009">10.1098/rstb.2021.0009</a>.'
  short: 'N.H. Barton, O.O. Olusanya, Philosophical Transactions of the Royal Society
    B: Biological Sciences 377 (2022).'
date_created: 2022-02-21T16:08:10Z
date_published: 2022-04-11T00:00:00Z
date_updated: 2025-05-26T09:05:09Z
day: '11'
ddc:
- '570'
department:
- _id: GradSch
- _id: NiBa
doi: 10.1098/rstb.2021.0009
external_id:
  isi:
  - '000758140300001'
  pmid:
  - '35184588'
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has_accepted_license: '1'
intvolume: '       377'
isi: 1
issue: '1848'
keyword:
- General Agricultural and Biological Sciences
- General Biochemistry
- Genetics and Molecular Biology
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '04'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: c08d3278-5a5b-11eb-8a69-fdb09b55f4b8
  grant_number: P32896
  name: Causes and consequences of population fragmentation
publication: 'Philosophical Transactions of the Royal Society B: Biological Sciences'
publication_identifier:
  eissn:
  - 1471-2970
  issn:
  - 0962-8436
publication_status: published
publisher: The Royal Society
quality_controlled: '1'
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scopus_import: '1'
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title: The response of a metapopulation to a changing environment
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: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 377
year: '2022'
...
---
_id: '10799'
abstract:
- lang: eng
  text: "Because of the increasing popularity of machine learning methods, it is becoming
    important to understand the impact of learned components on automated decision-making
    systems and to guarantee that their consequences are beneficial to society. In
    other words, it is necessary to ensure that machine learning is sufficiently trustworthy
    to be used in real-world applications. This thesis studies two properties of machine
    learning models that are highly desirable for the\r\nsake of reliability: robustness
    and fairness. In the first part of the thesis we study the robustness of learning
    algorithms to training data corruption. Previous work has shown that machine learning
    models are vulnerable to a range\r\nof training set issues, varying from label
    noise through systematic biases to worst-case data manipulations. This is an especially
    relevant problem from a present perspective, since modern machine learning methods
    are particularly data hungry and therefore practitioners often have to rely on
    data collected from various external sources, e.g. from the Internet, from app
    users or via crowdsourcing. Naturally, such sources vary greatly in the quality
    and reliability of the\r\ndata they provide. With these considerations in mind,
    we study the problem of designing machine learning algorithms that are robust
    to corruptions in data coming from multiple sources. We show that, in contrast
    to the case of a single dataset with outliers, successful learning within this
    model is possible both theoretically and practically, even under worst-case data
    corruptions. The second part of this thesis deals with fairness-aware machine
    learning. There are multiple areas where machine learning models have shown promising
    results, but where careful considerations are required, in order to avoid discrimanative
    decisions taken by such learned components. Ensuring fairness can be particularly
    challenging, because real-world training datasets are expected to contain various
    forms of historical bias that may affect the learning process. In this thesis
    we show that data corruption can indeed render the problem of achieving fairness
    impossible, by tightly characterizing the theoretical limits of fair learning
    under worst-case data manipulations. However, assuming access to clean data, we
    also show how fairness-aware learning can be made practical in contexts beyond
    binary classification, in particular in the challenging learning to rank setting."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Nikola H
  full_name: Konstantinov, Nikola H
  id: 4B9D76E4-F248-11E8-B48F-1D18A9856A87
  last_name: Konstantinov
citation:
  ama: Konstantinov NH. Robustness and fairness in machine learning. 2022. doi:<a
    href="https://doi.org/10.15479/at:ista:10799">10.15479/at:ista:10799</a>
  apa: Konstantinov, N. H. (2022). <i>Robustness and fairness in machine learning</i>.
    Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:10799">https://doi.org/10.15479/at:ista:10799</a>
  chicago: Konstantinov, Nikola H. “Robustness and Fairness in Machine Learning.”
    Institute of Science and Technology Austria, 2022. <a href="https://doi.org/10.15479/at:ista:10799">https://doi.org/10.15479/at:ista:10799</a>.
  ieee: N. H. Konstantinov, “Robustness and fairness in machine learning,” Institute
    of Science and Technology Austria, 2022.
  ista: Konstantinov NH. 2022. Robustness and fairness in machine learning. Institute
    of Science and Technology Austria.
  mla: Konstantinov, Nikola H. <i>Robustness and Fairness in Machine Learning</i>.
    Institute of Science and Technology Austria, 2022, doi:<a href="https://doi.org/10.15479/at:ista:10799">10.15479/at:ista:10799</a>.
  short: N.H. Konstantinov, Robustness and Fairness in Machine Learning, Institute
    of Science and Technology Austria, 2022.
date_created: 2022-02-28T13:03:49Z
date_published: 2022-03-08T00:00:00Z
date_updated: 2023-10-17T12:31:54Z
day: '08'
ddc:
- '000'
degree_awarded: PhD
department:
- _id: GradSch
- _id: ChLa
doi: 10.15479/at:ista:10799
ec_funded: 1
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keyword:
- robustness
- fairness
- machine learning
- PAC learning
- adversarial learning
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: '176'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication_identifier:
  isbn:
  - 978-3-99078-015-2
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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    relation: part_of_dissertation
    status: public
  - id: '10802'
    relation: part_of_dissertation
    status: public
  - id: '6590'
    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: Robustness and fairness in machine learning
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2022'
...
---
_id: '10842'
abstract:
- lang: eng
  text: We determine the unique factorization of some polynomials over a finite local
    commutative ring with identity explicitly. This solves and generalizes the main
    conjecture of Qian, Shi and Solé in [13]. We also give some applications to enumeration
    of certain generalized double circulant self-dual and linear complementary dual
    (LCD) codes over some finite rings together with an application in asymptotic
    coding theory.
acknowledgement: The authors would like to thank Prof. Dr. Minjia Shi for bringing
  [13, Conjecture 3.5] to our attention. We would also like to thank the associate
  editor and anonymous reviewers for their valuable comments and suggestions which
  improved and clarified the manuscript.
article_processing_charge: No
article_type: original
author:
- first_name: Seyda
  full_name: Köse, Seyda
  id: 8ba3170d-dc85-11ea-9058-c4251c96a6eb
  last_name: Köse
- first_name: Ferruh
  full_name: Özbudak, Ferruh
  last_name: Özbudak
citation:
  ama: Köse S, Özbudak F. Factorization of some polynomials over finite local commutative
    rings and applications to certain self-dual and LCD codes. <i>Cryptography and
    Communications</i>. 2022;14(4):933-948. doi:<a href="https://doi.org/10.1007/s12095-022-00557-8">10.1007/s12095-022-00557-8</a>
  apa: Köse, S., &#38; Özbudak, F. (2022). Factorization of some polynomials over
    finite local commutative rings and applications to certain self-dual and LCD codes.
    <i>Cryptography and Communications</i>. Springer Nature. <a href="https://doi.org/10.1007/s12095-022-00557-8">https://doi.org/10.1007/s12095-022-00557-8</a>
  chicago: Köse, Seyda, and Ferruh Özbudak. “Factorization of Some Polynomials over
    Finite Local Commutative Rings and Applications to Certain Self-Dual and LCD Codes.”
    <i>Cryptography and Communications</i>. Springer Nature, 2022. <a href="https://doi.org/10.1007/s12095-022-00557-8">https://doi.org/10.1007/s12095-022-00557-8</a>.
  ieee: S. Köse and F. Özbudak, “Factorization of some polynomials over finite local
    commutative rings and applications to certain self-dual and LCD codes,” <i>Cryptography
    and Communications</i>, vol. 14, no. 4. Springer Nature, pp. 933–948, 2022.
  ista: Köse S, Özbudak F. 2022. Factorization of some polynomials over finite local
    commutative rings and applications to certain self-dual and LCD codes. Cryptography
    and Communications. 14(4), 933–948.
  mla: Köse, Seyda, and Ferruh Özbudak. “Factorization of Some Polynomials over Finite
    Local Commutative Rings and Applications to Certain Self-Dual and LCD Codes.”
    <i>Cryptography and Communications</i>, vol. 14, no. 4, Springer Nature, 2022,
    pp. 933–48, doi:<a href="https://doi.org/10.1007/s12095-022-00557-8">10.1007/s12095-022-00557-8</a>.
  short: S. Köse, F. Özbudak, Cryptography and Communications 14 (2022) 933–948.
date_created: 2022-03-10T12:16:19Z
date_published: 2022-07-01T00:00:00Z
date_updated: 2023-09-05T15:35:55Z
day: '01'
department:
- _id: GradSch
doi: 10.1007/s12095-022-00557-8
external_id:
  isi:
  - '000766422000002'
intvolume: '        14'
isi: 1
issue: '4'
keyword:
- Applied Mathematics
- Computational Theory and Mathematics
- Computer Networks and Communications
language:
- iso: eng
month: '07'
oa_version: None
page: 933-948
publication: Cryptography and Communications
publication_identifier:
  eissn:
  - 1936-2455
  issn:
  - 1936-2447
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Factorization of some polynomials over finite local commutative rings and applications
  to certain self-dual and LCD codes
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 14
year: '2022'
...
---
_id: '10850'
abstract:
- lang: eng
  text: "We study two interacting quantum particles forming a bound state in d-dimensional
    free\r\nspace, and constrain the particles in k directions to (0, ∞)k ×Rd−k, with
    Neumann boundary\r\nconditions. First, we prove that the ground state energy strictly
    decreases upon going from k\r\nto k+1. This shows that the particles stick to
    the corner where all boundary planes intersect.\r\nSecond, we show that for all
    k the resulting Hamiltonian, after removing the free part of the\r\nkinetic energy,
    has only finitely many eigenvalues below the essential spectrum. This paper\r\ngeneralizes
    the work of Egger, Kerner and Pankrashkin (J. Spectr. Theory 10(4):1413–1444,\r\n2020)
    to dimensions d > 1."
acknowledgement: We thank Rupert Frank for contributing Appendix B. Funding from the
  European Union's Horizon 2020 research and innovation programme under the ERC grant
  agreement No. 694227 is gratefully acknowledged.
article_number: '109455'
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Barbara
  full_name: Roos, Barbara
  id: 5DA90512-D80F-11E9-8994-2E2EE6697425
  last_name: Roos
  orcid: 0000-0002-9071-5880
- first_name: Robert
  full_name: Seiringer, Robert
  id: 4AFD0470-F248-11E8-B48F-1D18A9856A87
  last_name: Seiringer
  orcid: 0000-0002-6781-0521
citation:
  ama: Roos B, Seiringer R. Two-particle bound states at interfaces and corners. <i>Journal
    of Functional Analysis</i>. 2022;282(12). doi:<a href="https://doi.org/10.1016/j.jfa.2022.109455">10.1016/j.jfa.2022.109455</a>
  apa: Roos, B., &#38; Seiringer, R. (2022). Two-particle bound states at interfaces
    and corners. <i>Journal of Functional Analysis</i>. Elsevier. <a href="https://doi.org/10.1016/j.jfa.2022.109455">https://doi.org/10.1016/j.jfa.2022.109455</a>
  chicago: Roos, Barbara, and Robert Seiringer. “Two-Particle Bound States at Interfaces
    and Corners.” <i>Journal of Functional Analysis</i>. Elsevier, 2022. <a href="https://doi.org/10.1016/j.jfa.2022.109455">https://doi.org/10.1016/j.jfa.2022.109455</a>.
  ieee: B. Roos and R. Seiringer, “Two-particle bound states at interfaces and corners,”
    <i>Journal of Functional Analysis</i>, vol. 282, no. 12. Elsevier, 2022.
  ista: Roos B, Seiringer R. 2022. Two-particle bound states at interfaces and corners.
    Journal of Functional Analysis. 282(12), 109455.
  mla: Roos, Barbara, and Robert Seiringer. “Two-Particle Bound States at Interfaces
    and Corners.” <i>Journal of Functional Analysis</i>, vol. 282, no. 12, 109455,
    Elsevier, 2022, doi:<a href="https://doi.org/10.1016/j.jfa.2022.109455">10.1016/j.jfa.2022.109455</a>.
  short: B. Roos, R. Seiringer, Journal of Functional Analysis 282 (2022).
date_created: 2022-03-16T08:41:53Z
date_published: 2022-06-15T00:00:00Z
date_updated: 2023-10-27T10:37:29Z
day: '15'
ddc:
- '510'
department:
- _id: GradSch
- _id: RoSe
doi: 10.1016/j.jfa.2022.109455
ec_funded: 1
external_id:
  arxiv:
  - '2105.04874'
  isi:
  - '000795160200009'
file:
- access_level: open_access
  checksum: 63efcefaa1f2717244ef5407bd564426
  content_type: application/pdf
  creator: dernst
  date_created: 2022-08-02T10:37:55Z
  date_updated: 2022-08-02T10:37:55Z
  file_id: '11720'
  file_name: 2022_JourFunctionalAnalysis_Roos.pdf
  file_size: 631391
  relation: main_file
  success: 1
file_date_updated: 2022-08-02T10:37:55Z
has_accepted_license: '1'
intvolume: '       282'
isi: 1
issue: '12'
keyword:
- Analysis
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
project:
- _id: 25C6DC12-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '694227'
  name: Analysis of quantum many-body systems
publication: Journal of Functional Analysis
publication_identifier:
  issn:
  - 0022-1236
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
  record:
  - id: '14374'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Two-particle bound states at interfaces and corners
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: 282
year: '2022'
...
---
_id: '10920'
abstract:
- lang: eng
  text: The spin-orbit interaction permits to control the state of a spin qubit via
    electric fields. For holes it is particularly strong, allowing for fast all electrical
    qubit manipulation, and yet an in-depth understanding of this interaction in hole
    systems is missing. Here we investigate, experimentally and theoretically, the
    effect of the cubic Rashba spin-orbit interaction on the mixing of the spin states
    by studying singlet-triplet oscillations in a planar Ge hole double quantum dot.
    Landau-Zener sweeps at different magnetic field directions allow us to disentangle
    the effects of the spin-orbit induced spin-flip term from those caused by strongly
    site-dependent and anisotropic quantum dot g tensors. Our work, therefore, provides
    new insights into the hole spin-orbit interaction, necessary for optimizing future
    qubit experiments.
acknowledged_ssus:
- _id: M-Shop
- _id: NanoFab
acknowledgement: "This research was supported by the Scientific Service Units of ISTA
  through resources provided by the MIBA Machine Shop and the nanofabrication facility.
  This project has received funding from the European Union’s Horizon 2020 research
  and innovation program under the Marie\r\nSkłodowska-Curie Grant Agreement No. 844511,
  No. 75441, and by the FWF-P 30207, I05060, and M3032-N projects. A. B. acknowledges
  support from the EU Horizon-2020 FET project microSPIRE, ID: 766955. P.M. M. and
  G. B. acknowledge funding by the Deutsche Forschungsgemeinschaft (DFG—German Research
  Foundation) under Project No. 450396347. This work was supported by the Royal Society
  (URF\\R1\\191150) and the European Research Council (Grant Agreement No. 948932),
  N. A. acknowledges the use of the University of Oxford Advanced Research Computing
  (ARC) facility."
article_number: '126803'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Daniel
  full_name: Jirovec, Daniel
  id: 4C473F58-F248-11E8-B48F-1D18A9856A87
  last_name: Jirovec
  orcid: 0000-0002-7197-4801
- first_name: Philipp M.
  full_name: Mutter, Philipp M.
  last_name: Mutter
- first_name: Andrea C
  full_name: Hofmann, Andrea C
  id: 340F461A-F248-11E8-B48F-1D18A9856A87
  last_name: Hofmann
- first_name: Alessandro
  full_name: Crippa, Alessandro
  id: 1F2B21A2-F6E7-11E9-9B82-F7DBE5697425
  last_name: Crippa
  orcid: 0000-0002-2968-611X
- first_name: Marek
  full_name: Rychetsky, Marek
  last_name: Rychetsky
- first_name: David L.
  full_name: Craig, David L.
  last_name: Craig
- first_name: Josip
  full_name: Kukucka, Josip
  id: 3F5D8856-F248-11E8-B48F-1D18A9856A87
  last_name: Kukucka
- first_name: Frederico
  full_name: Martins, Frederico
  id: 38F80F9A-1CB8-11EA-BC76-B49B3DDC885E
  last_name: Martins
  orcid: 0000-0003-2668-2401
- first_name: Andrea
  full_name: Ballabio, Andrea
  last_name: Ballabio
- first_name: Natalia
  full_name: Ares, Natalia
  last_name: Ares
- first_name: Daniel
  full_name: Chrastina, Daniel
  last_name: Chrastina
- first_name: Giovanni
  full_name: Isella, Giovanni
  last_name: Isella
- first_name: 'Guido '
  full_name: 'Burkard, Guido '
  last_name: Burkard
- first_name: Georgios
  full_name: Katsaros, Georgios
  id: 38DB5788-F248-11E8-B48F-1D18A9856A87
  last_name: Katsaros
citation:
  ama: Jirovec D, Mutter PM, Hofmann AC, et al. Dynamics of hole singlet-triplet qubits
    with large g-factor differences. <i>Physical Review Letters</i>. 2022;128(12).
    doi:<a href="https://doi.org/10.1103/PhysRevLett.128.126803">10.1103/PhysRevLett.128.126803</a>
  apa: Jirovec, D., Mutter, P. M., Hofmann, A. C., Crippa, A., Rychetsky, M., Craig,
    D. L., … Katsaros, G. (2022). Dynamics of hole singlet-triplet qubits with large
    g-factor differences. <i>Physical Review Letters</i>. American Physical Society.
    <a href="https://doi.org/10.1103/PhysRevLett.128.126803">https://doi.org/10.1103/PhysRevLett.128.126803</a>
  chicago: Jirovec, Daniel, Philipp M. Mutter, Andrea C Hofmann, Alessandro Crippa,
    Marek Rychetsky, David L. Craig, Josip Kukucka, et al. “Dynamics of Hole Singlet-Triplet
    Qubits with Large g-Factor Differences.” <i>Physical Review Letters</i>. American
    Physical Society, 2022. <a href="https://doi.org/10.1103/PhysRevLett.128.126803">https://doi.org/10.1103/PhysRevLett.128.126803</a>.
  ieee: D. Jirovec <i>et al.</i>, “Dynamics of hole singlet-triplet qubits with large
    g-factor differences,” <i>Physical Review Letters</i>, vol. 128, no. 12. American
    Physical Society, 2022.
  ista: Jirovec D, Mutter PM, Hofmann AC, Crippa A, Rychetsky M, Craig DL, Kukucka
    J, Martins F, Ballabio A, Ares N, Chrastina D, Isella G, Burkard G, Katsaros G.
    2022. Dynamics of hole singlet-triplet qubits with large g-factor differences.
    Physical Review Letters. 128(12), 126803.
  mla: Jirovec, Daniel, et al. “Dynamics of Hole Singlet-Triplet Qubits with Large
    g-Factor Differences.” <i>Physical Review Letters</i>, vol. 128, no. 12, 126803,
    American Physical Society, 2022, doi:<a href="https://doi.org/10.1103/PhysRevLett.128.126803">10.1103/PhysRevLett.128.126803</a>.
  short: D. Jirovec, P.M. Mutter, A.C. Hofmann, A. Crippa, M. Rychetsky, D.L. Craig,
    J. Kukucka, F. Martins, A. Ballabio, N. Ares, D. Chrastina, G. Isella, G. Burkard,
    G. Katsaros, Physical Review Letters 128 (2022).
date_created: 2022-03-24T15:51:11Z
date_published: 2022-03-24T00:00:00Z
date_updated: 2023-08-03T06:14:58Z
day: '24'
ddc:
- '530'
department:
- _id: GradSch
- _id: GeKa
doi: 10.1103/PhysRevLett.128.126803
ec_funded: 1
external_id:
  arxiv:
  - '2111.05130'
  isi:
  - '000786542500004'
file:
- access_level: open_access
  checksum: 6e66ad548d18db9c131f304acbd5a1f4
  content_type: application/pdf
  creator: dernst
  date_created: 2022-03-28T06:53:39Z
  date_updated: 2022-03-28T06:53:39Z
  file_id: '10928'
  file_name: 2022_PhysRevLetters_Jirovec.pdf
  file_size: 1266515
  relation: main_file
  success: 1
file_date_updated: 2022-03-28T06:53:39Z
has_accepted_license: '1'
intvolume: '       128'
isi: 1
issue: '12'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
project:
- _id: 26A151DA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '844511'
  name: Majorana bound states in Ge/SiGe heterostructures
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
- _id: 2641CE5E-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P30207
  name: Hole spin orbit qubits in Ge quantum wells
- _id: c0977eea-5a5b-11eb-8a69-a862db0cf4d1
  grant_number: I05060
  name: High impedance circuit quantum electrodynamics with hole spins
- _id: c08c05c4-5a5b-11eb-8a69-dc6ce49d7973
  grant_number: M03032
  name: Long-range spin exchange for 2D qubits architectures
publication: Physical Review Letters
publication_identifier:
  eissn:
  - 1079-7114
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
status: public
title: Dynamics of hole singlet-triplet qubits with large g-factor differences
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: 128
year: '2022'
...
---
_id: '10925'
abstract:
- lang: eng
  text: Direct numerical simulations (DNS) of turbulent channel flows up to  Reτ≈1000  are
    conducted to investigate the three-dimensional (consisting of streamwise wavenumber,
    spanwise wavenumber and frequency) spectrum of wall pressure fluctuations. To
    develop a predictive model of the wavenumber–frequency spectrum from the wavenumber
    spectrum, the time decorrelation mechanisms of wall pressure fluctuations are
    investigated. It is discovered that the energy-containing part of the wavenumber–frequency
    spectrum of wall pressure fluctuations can be well predicted using a similar random
    sweeping model for streamwise velocity fluctuations. To refine the investigation,
    we further decompose the spectrum of the total wall pressure fluctuations into
    the autospectra of rapid and slow pressure fluctuations, and the cross-spectrum
    between them. We focus on evaluating the assumption applied in many predictive
    models, that is, the magnitude of the cross-spectrum is negligibly small. The
    present DNS shows that neglecting the cross-spectrum causes a maximum error up
    to 4.7 dB in the subconvective region for all Reynolds numbers under test. Our
    analyses indicate that the approximation of neglecting the cross-spectrum needs
    to be applied carefully in the investigations of acoustics at low Mach numbers,
    in which the subconvective components of wall pressure fluctuations make important
    contributions to the radiated acoustic power.
acknowledgement: This research is supported by the NSFC Basic Science Center Program
  for ‘Multiscale Problems in Nonlinear Mechanics’ (no. 11988102), National Key Project
  (GJXM92579) and the Strategic Priority Research Program (XDB22040104).
article_number: A39
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Bowen
  full_name: Yang, Bowen
  id: 71b6ff4b-15b2-11ec-abd3-aef6b028cf7e
  last_name: Yang
  orcid: 0000-0002-4843-6853
- first_name: Zixuan
  full_name: Yang, Zixuan
  last_name: Yang
citation:
  ama: Yang B, Yang Z. On the wavenumber-frequency spectrum of the wall pressure fluctuations
    in turbulent channel flow. <i>Journal of Fluid Mechanics</i>. 2022;937. doi:<a
    href="https://doi.org/10.1017/jfm.2022.137">10.1017/jfm.2022.137</a>
  apa: Yang, B., &#38; Yang, Z. (2022). On the wavenumber-frequency spectrum of the
    wall pressure fluctuations in turbulent channel flow. <i>Journal of Fluid Mechanics</i>.
    Cambridge University Press. <a href="https://doi.org/10.1017/jfm.2022.137">https://doi.org/10.1017/jfm.2022.137</a>
  chicago: Yang, Bowen, and Zixuan Yang. “On the Wavenumber-Frequency Spectrum of
    the Wall Pressure Fluctuations in Turbulent Channel Flow.” <i>Journal of Fluid
    Mechanics</i>. Cambridge University Press, 2022. <a href="https://doi.org/10.1017/jfm.2022.137">https://doi.org/10.1017/jfm.2022.137</a>.
  ieee: B. Yang and Z. Yang, “On the wavenumber-frequency spectrum of the wall pressure
    fluctuations in turbulent channel flow,” <i>Journal of Fluid Mechanics</i>, vol.
    937. Cambridge University Press, 2022.
  ista: Yang B, Yang Z. 2022. On the wavenumber-frequency spectrum of the wall pressure
    fluctuations in turbulent channel flow. Journal of Fluid Mechanics. 937, A39.
  mla: Yang, Bowen, and Zixuan Yang. “On the Wavenumber-Frequency Spectrum of the
    Wall Pressure Fluctuations in Turbulent Channel Flow.” <i>Journal of Fluid Mechanics</i>,
    vol. 937, A39, Cambridge University Press, 2022, doi:<a href="https://doi.org/10.1017/jfm.2022.137">10.1017/jfm.2022.137</a>.
  short: B. Yang, Z. Yang, Journal of Fluid Mechanics 937 (2022).
date_created: 2022-03-27T22:01:45Z
date_published: 2022-04-25T00:00:00Z
date_updated: 2023-08-03T06:20:26Z
day: '25'
department:
- _id: GradSch
doi: 10.1017/jfm.2022.137
external_id:
  arxiv:
  - '2201.04702'
  isi:
  - '000763547000001'
intvolume: '       937'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1017/jfm.2022.137
month: '04'
oa: 1
oa_version: Published Version
publication: Journal of Fluid Mechanics
publication_identifier:
  eissn:
  - 1469-7645
  issn:
  - 0022-1120
publication_status: published
publisher: Cambridge University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: On the wavenumber-frequency spectrum of the wall pressure fluctuations in turbulent
  channel flow
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 937
year: '2022'
...
---
_id: '10934'
abstract:
- lang: eng
  text: 'FtsA is crucial for assembly of the E. coli divisome, as it dynamically links
    cytoplasmic FtsZ filaments with transmembrane cell division proteins. FtsA allegedly
    initiates cell division by switching from an inactive polymeric to an active monomeric
    confirmation, which recruits downstream proteins and stabilizes FtsZ filaments.
    Here, we use biochemical reconstitution experiments combined with quantitative
    fluorescence microscopy to study divisome activation in vitro. We compare wildtype-FtsA
    with FtsA-R286W, a constantly active gain-of-function mutant and find that R286W
    outperforms the wildtype protein in replicating FtsZ treadmilling dynamics, stabilizing
    FtsZ filaments and recruiting FtsN. We attribute these differences to a faster
    membrane exchange of FtsA-R286W and its higher packing density below FtsZ filaments.  Using
    FRET microscopy, we find that FtsN binding does not compete with, but promotes
    FtsA self-interaction. Our findings suggest a model where FtsA always forms dynamic
    polymers on the membrane, which re-organize during assembly and activation of
    the divisome. '
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
acknowledgement: We acknowledge members of the Loose laboratory at IST Austria for
  helpful discussions—in particular L. Lindorfer for his assistance with cloning and
  purifications. We thank J. Löwe and T. Nierhaus (MRC-LMB Cambridge, UK) for sharing
  unpublished work and helpful discussions, as well as D. Vavylonis and D. Rutkowski
  (Lehigh University, Bethlehem, PA, USA) as well as S. Martin (University of Lausanne,
  Switzerland) for sharing their code for FRAP analysis. We are also thankful for
  the support by the Scientific Service Units (SSU) of IST Austria through resources
  provided by the Imaging and Optics Facility (IOF) and the Lab Support Facility (LSF).
  This work was supported by the European Research Council through grant ERC 2015-StG-679239
  and by the Austrian Science Fund (FWF) StandAlone P34607 to M.L. and HFSP LT 000824/2016-L4
  to N.B. For the purpose of open access, we have applied a CC BY public copyright
  licence to any Author Accepted Manuscript version arising from this submission.
article_processing_charge: No
author:
- first_name: Philipp
  full_name: Radler, Philipp
  id: 40136C2A-F248-11E8-B48F-1D18A9856A87
  last_name: Radler
  orcid: ' 0000-0001-9198-2182 '
citation:
  ama: Radler P. In vitro reconstitution of Escherichia coli divisome activation.
    2022. doi:<a href="https://doi.org/10.15479/AT:ISTA:10934">10.15479/AT:ISTA:10934</a>
  apa: Radler, P. (2022). In vitro reconstitution of Escherichia coli divisome activation.
    Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT:ISTA:10934">https://doi.org/10.15479/AT:ISTA:10934</a>
  chicago: Radler, Philipp. “In Vitro Reconstitution of Escherichia Coli Divisome
    Activation.” Institute of Science and Technology Austria, 2022. <a href="https://doi.org/10.15479/AT:ISTA:10934">https://doi.org/10.15479/AT:ISTA:10934</a>.
  ieee: P. Radler, “In vitro reconstitution of Escherichia coli divisome activation.”
    Institute of Science and Technology Austria, 2022.
  ista: Radler P. 2022. In vitro reconstitution of Escherichia coli divisome activation,
    Institute of Science and Technology Austria, <a href="https://doi.org/10.15479/AT:ISTA:10934">10.15479/AT:ISTA:10934</a>.
  mla: Radler, Philipp. <i>In Vitro Reconstitution of Escherichia Coli Divisome Activation</i>.
    Institute of Science and Technology Austria, 2022, doi:<a href="https://doi.org/10.15479/AT:ISTA:10934">10.15479/AT:ISTA:10934</a>.
  short: P. Radler, (2022).
contributor:
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date_created: 2022-03-31T11:32:32Z
date_published: 2022-04-05T00:00:00Z
date_updated: 2024-02-21T12:35:18Z
day: '05'
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doi: 10.15479/AT:ISTA:10934
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file_date_updated: 2022-04-22T10:15:19Z
has_accepted_license: '1'
keyword:
- Bacterial cell division
- in vitro reconstitution
- FtsZ
- FtsN
- FtsA
month: '04'
oa: 1
oa_version: Submitted Version
project:
- _id: 2595697A-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '679239'
  name: Self-Organization of the Bacterial Cell
- _id: fc38323b-9c52-11eb-aca3-ff8afb4a011d
  grant_number: P34607
  name: "Understanding bacterial cell division by in vitro\r\nreconstitution"
publisher: Institute of Science and Technology Austria
related_material:
  link:
  - description: A custom written code (FRAPdiff) to quantify the Off binding rate
      and Diffusion coefficient of membrane bound proteins. Written by Christoph Sommer.
    relation: software
    url: https://doi.org/10.5281/zenodo.6400639
  record:
  - id: '11373'
    relation: used_in_publication
    status: public
  - id: '14280'
    relation: used_in_publication
    status: public
status: public
title: In vitro reconstitution of Escherichia coli divisome activation
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: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2022'
...
---
_id: '11128'
abstract:
- lang: eng
  text: "Although we often see studies focusing on simple or even discrete traits
    in studies of colouration,\r\nthe variation of “appearance” phenotypes found in
    nature is often more complex, continuous\r\nand high-dimensional. Therefore, we
    developed automated methods suitable for large datasets\r\nof genomes and images,
    striving to account for their complex nature, while minimising human\r\nbias.
    We used these methods on a dataset of more than 20, 000 plant SNP genomes and\r\ncorresponding
    fower images from a hybrid zone of two subspecies of Antirrhinum majus with\r\ndistinctly
    coloured fowers to improve our understanding of the genetic nature of the fower\r\ncolour
    in our study system.\r\nFirstly, we use the advantage of large numbers of genotyped
    plants to estimate the haplotypes in\r\nthe main fower colour regulating region.
    We study colour- and geography-related characteristics\r\nof the estimated haplotypes
    and how they connect to their relatedness. We show discrepancies\r\nfrom the expected
    fower colour distributions given the genotype and identify particular\r\nhaplotypes
    leading to unexpected phenotypes. We also confrm a signifcant defcit of the\r\ndouble
    recessive recombinant and quite surprisingly, we show that haplotypes of the most\r\nfrequent
    parental type are much less variable than others.\r\nSecondly, we introduce our
    pipeline capable of processing tens of thousands of full fower\r\nimages without
    human interaction and summarising each image into a set of informative scores.\r\nWe
    show the compatibility of these machine-measured fower colour scores with the
    previously\r\nused manual scores and study impact of external efect on the resulting
    scores. Finally, we use\r\nthe machine-measured fower colour scores to ft and
    examine a phenotype cline across the\r\nhybrid zone in Planoles using full fower
    images as opposed to discrete, manual scores and\r\ncompare it with the genotypic
    cline."
acknowledged_ssus:
- _id: ScienComp
- _id: Bio
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Lenka
  full_name: Matejovicova, Lenka
  id: 2DFDEC72-F248-11E8-B48F-1D18A9856A87
  last_name: Matejovicova
citation:
  ama: Matejovicova L. Genetic basis of flower colour as a model for adaptive evolution.
    2022. doi:<a href="https://doi.org/10.15479/at:ista:11128">10.15479/at:ista:11128</a>
  apa: Matejovicova, L. (2022). <i>Genetic basis of flower colour as a model for adaptive
    evolution</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:11128">https://doi.org/10.15479/at:ista:11128</a>
  chicago: Matejovicova, Lenka. “Genetic Basis of Flower Colour as a Model for Adaptive
    Evolution.” Institute of Science and Technology Austria, 2022. <a href="https://doi.org/10.15479/at:ista:11128">https://doi.org/10.15479/at:ista:11128</a>.
  ieee: L. Matejovicova, “Genetic basis of flower colour as a model for adaptive evolution,”
    Institute of Science and Technology Austria, 2022.
  ista: Matejovicova L. 2022. Genetic basis of flower colour as a model for adaptive
    evolution. Institute of Science and Technology Austria.
  mla: Matejovicova, Lenka. <i>Genetic Basis of Flower Colour as a Model for Adaptive
    Evolution</i>. Institute of Science and Technology Austria, 2022, doi:<a href="https://doi.org/10.15479/at:ista:11128">10.15479/at:ista:11128</a>.
  short: L. Matejovicova, Genetic Basis of Flower Colour as a Model for Adaptive Evolution,
    Institute of Science and Technology Austria, 2022.
date_created: 2022-04-07T08:19:54Z
date_published: 2022-04-06T00:00:00Z
date_updated: 2023-06-23T06:26:41Z
day: '06'
ddc:
- '576'
- '582'
degree_awarded: PhD
department:
- _id: GradSch
- _id: NiBa
doi: 10.15479/at:ista:11128
file:
- access_level: open_access
  checksum: e9609bc4e8f8e20146fc1125fd4f1bf7
  content_type: application/pdf
  creator: cchlebak
  date_created: 2022-04-07T08:11:34Z
  date_updated: 2022-04-07T08:11:34Z
  file_id: '11129'
  file_name: LenkaPhD_Official_PDFA.pdf
  file_size: 11906472
  relation: main_file
- access_level: closed
  checksum: 99d67040432fd07a225643a212ee8588
  content_type: application/x-zip-compressed
  creator: cchlebak
  date_created: 2022-04-07T08:11:51Z
  date_updated: 2022-04-07T08:11:51Z
  file_id: '11130'
  file_name: LenkaPhD Official_source.zip
  file_size: 23036766
  relation: source_file
file_date_updated: 2022-04-07T08:11:51Z
has_accepted_license: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: '112'
publication_identifier:
  isbn:
  - 978-3-99078-016-9
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Nicholas H
  full_name: Barton, Nicholas H
  id: 4880FE40-F248-11E8-B48F-1D18A9856A87
  last_name: Barton
  orcid: 0000-0002-8548-5240
title: Genetic basis of flower colour as a model for adaptive evolution
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: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2022'
...
---
_id: '11135'
abstract:
- lang: eng
  text: We consider a correlated NxN Hermitian random matrix with a polynomially decaying
    metric correlation structure. By calculating the trace of the moments of the matrix
    and using the summable decay of the cumulants, we show that its operator norm
    is stochastically dominated by one.
article_number: '2250036'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Jana
  full_name: Reker, Jana
  id: e796e4f9-dc8d-11ea-abe3-97e26a0323e9
  last_name: Reker
citation:
  ama: 'Reker J. On the operator norm of a Hermitian random matrix with correlated
    entries. <i>Random Matrices: Theory and Applications</i>. 2022;11(4). doi:<a href="https://doi.org/10.1142/s2010326322500368">10.1142/s2010326322500368</a>'
  apa: 'Reker, J. (2022). On the operator norm of a Hermitian random matrix with correlated
    entries. <i>Random Matrices: Theory and Applications</i>. World Scientific. <a
    href="https://doi.org/10.1142/s2010326322500368">https://doi.org/10.1142/s2010326322500368</a>'
  chicago: 'Reker, Jana. “On the Operator Norm of a Hermitian Random Matrix with Correlated
    Entries.” <i>Random Matrices: Theory and Applications</i>. World Scientific, 2022.
    <a href="https://doi.org/10.1142/s2010326322500368">https://doi.org/10.1142/s2010326322500368</a>.'
  ieee: 'J. Reker, “On the operator norm of a Hermitian random matrix with correlated
    entries,” <i>Random Matrices: Theory and Applications</i>, vol. 11, no. 4. World
    Scientific, 2022.'
  ista: 'Reker J. 2022. On the operator norm of a Hermitian random matrix with correlated
    entries. Random Matrices: Theory and Applications. 11(4), 2250036.'
  mla: 'Reker, Jana. “On the Operator Norm of a Hermitian Random Matrix with Correlated
    Entries.” <i>Random Matrices: Theory and Applications</i>, vol. 11, no. 4, 2250036,
    World Scientific, 2022, doi:<a href="https://doi.org/10.1142/s2010326322500368">10.1142/s2010326322500368</a>.'
  short: 'J. Reker, Random Matrices: Theory and Applications 11 (2022).'
date_created: 2022-04-08T07:11:12Z
date_published: 2022-10-01T00:00:00Z
date_updated: 2023-08-03T06:32:22Z
day: '01'
department:
- _id: GradSch
- _id: LaEr
doi: 10.1142/s2010326322500368
external_id:
  arxiv:
  - '2103.03906'
  isi:
  - '000848873800001'
intvolume: '        11'
isi: 1
issue: '4'
keyword:
- Discrete Mathematics and Combinatorics
- Statistics
- Probability and Uncertainty
- Statistics and Probability
- Algebra and Number Theory
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: ' https://doi.org/10.48550/arXiv.2103.03906'
month: '10'
oa: 1
oa_version: Preprint
publication: 'Random Matrices: Theory and Applications'
publication_identifier:
  eissn:
  - 2010-3271
  issn:
  - 2010-3263
publication_status: published
publisher: World Scientific
quality_controlled: '1'
scopus_import: '1'
status: public
title: On the operator norm of a Hermitian random matrix with correlated entries
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 11
year: '2022'
...
---
_id: '11193'
abstract:
- lang: eng
  text: "The infiltration of immune cells into tissues underlies the establishment
    of tissue-resident\r\nmacrophages and responses to infections and tumors. However,
    the mechanisms immune\r\ncells utilize to collectively migrate through tissue
    barriers in vivo are not yet well understood.\r\nIn this thesis, I describe two
    mechanisms that Drosophila immune cells (hemocytes) use to\r\novercome the tissue
    barrier of the germband in the embryo. One strategy is the strengthening\r\nof
    the actin cortex through developmentally controlled transcriptional regulation
    induced by\r\nthe Drosophila proto-oncogene family member Dfos, which I show in
    Chapter 2. Dfos induces\r\nexpression of the tetraspanin TM4SF and the filamin
    Cher leading to higher levels of the\r\nactivated formin Dia at the cortex and
    increased cortical F-actin. This enhanced cortical\r\nstrength allows hemocytes
    to overcome the physical resistance of the surrounding tissue and\r\ntranslocate
    their nucleus to move forward. This mechanism affects the speed of migration\r\nwhen
    hemocytes face a confined environment in vivo.\r\nAnother aspect of the invasion
    process is the initial step of the leading hemocytes entering\r\nthe tissue, which
    potentially guides the follower cells. In Chapter 3, I describe a novel\r\nsubpopulation
    of hemocytes activated by BMP signaling prior to tissue invasion that leads\r\npenetration
    into the germband. Hemocytes that are deficient in BMP signaling activation\r\nshow
    impaired persistence at the tissue entry, while their migration speed remains\r\nunaffected.\r\nThis
    suggests that there might be different mechanisms controlling immune cell migration\r\nwithin
    the confined environment in vivo, one of these being the general ability to overcome\r\nthe
    resistance of the surrounding tissue and another affecting the order of hemocytes
    that\r\ncollectively invade the tissue in a stream of individual cells.\r\nTogether,
    my findings provide deeper insights into transcriptional changes in immune\r\ncells
    that enable efficient tissue invasion and pave the way for future studies investigating
    the\r\nearly colonization of tissues by macrophages in higher organisms. Moreover,
    they extend the\r\ncurrent view of Drosophila immune cell heterogeneity and point
    toward a potentially\r\nconserved role for canonical BMP signaling in specifying
    immune cells that lead the migration\r\nof tissue resident macrophages during
    embryogenesis."
acknowledged_ssus:
- _id: LifeSc
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Stephanie
  full_name: Wachner, Stephanie
  id: 2A95E7B0-F248-11E8-B48F-1D18A9856A87
  last_name: Wachner
citation:
  ama: Wachner S. Transcriptional regulation by Dfos and BMP-signaling support tissue
    invasion of Drosophila immune cells. 2022. doi:<a href="https://doi.org/10.15479/at:ista:11193">10.15479/at:ista:11193</a>
  apa: Wachner, S. (2022). <i>Transcriptional regulation by Dfos and BMP-signaling
    support tissue invasion of Drosophila immune cells</i>. Institute of Science and
    Technology Austria. <a href="https://doi.org/10.15479/at:ista:11193">https://doi.org/10.15479/at:ista:11193</a>
  chicago: Wachner, Stephanie. “Transcriptional Regulation by Dfos and BMP-Signaling
    Support Tissue Invasion of Drosophila Immune Cells.” Institute of Science and
    Technology Austria, 2022. <a href="https://doi.org/10.15479/at:ista:11193">https://doi.org/10.15479/at:ista:11193</a>.
  ieee: S. Wachner, “Transcriptional regulation by Dfos and BMP-signaling support
    tissue invasion of Drosophila immune cells,” Institute of Science and Technology
    Austria, 2022.
  ista: Wachner S. 2022. Transcriptional regulation by Dfos and BMP-signaling support
    tissue invasion of Drosophila immune cells. Institute of Science and Technology
    Austria.
  mla: Wachner, Stephanie. <i>Transcriptional Regulation by Dfos and BMP-Signaling
    Support Tissue Invasion of Drosophila Immune Cells</i>. Institute of Science and
    Technology Austria, 2022, doi:<a href="https://doi.org/10.15479/at:ista:11193">10.15479/at:ista:11193</a>.
  short: S. Wachner, Transcriptional Regulation by Dfos and BMP-Signaling Support
    Tissue Invasion of Drosophila Immune Cells, Institute of Science and Technology
    Austria, 2022.
date_created: 2022-04-20T08:59:07Z
date_published: 2022-04-20T00:00:00Z
date_updated: 2023-09-19T10:15:54Z
day: '20'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: DaSi
doi: 10.15479/at:ista:11193
file:
- access_level: open_access
  checksum: 999ab16884c4522486136ebc5ae8dbff
  content_type: application/pdf
  creator: cchlebak
  date_created: 2022-04-20T09:03:57Z
  date_updated: 2023-04-21T22:30:03Z
  embargo: 2023-04-20
  file_id: '11195'
  file_name: Thesis_Stephanie_Wachner_20200414_formatted.pdf
  file_size: 8820951
  relation: main_file
- access_level: closed
  checksum: fd92b1e38d53bdf8b458213882d41383
  content_type: application/x-zip-compressed
  creator: cchlebak
  date_created: 2022-04-22T12:41:00Z
  date_updated: 2023-04-21T22:30:03Z
  embargo_to: open_access
  file_id: '11329'
  file_name: Thesis_Stephanie_Wachner_20200414.zip
  file_size: 65864612
  relation: source_file
file_date_updated: 2023-04-21T22:30:03Z
has_accepted_license: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: '170'
project:
- _id: 26199CA4-B435-11E9-9278-68D0E5697425
  grant_number: '24800'
  name: Tissue barrier penetration is crucial for immunity and metastasis
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '10614'
    relation: part_of_dissertation
    status: public
  - id: '544'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Daria E
  full_name: Siekhaus, Daria E
  id: 3D224B9E-F248-11E8-B48F-1D18A9856A87
  last_name: Siekhaus
  orcid: 0000-0001-8323-8353
title: Transcriptional regulation by Dfos and BMP-signaling support tissue invasion
  of Drosophila immune cells
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: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2022'
...
---
_id: '11196'
abstract:
- lang: eng
  text: "One of the fundamental questions in Neuroscience is how the structure of
    synapses and their physiological properties are related. While synaptic transmission
    remains a dynamic process, electron microscopy provides images with comparably
    low temporal resolution (Studer et al., 2014). The current work overcomes this
    challenge and describes an improved “Flash and Freeze” technique (Watanabe et
    al., 2013a; Watanabe et al., 2013b) to study synaptic transmission at the hippocampal
    mossy fiber-CA3 pyramidal neuron synapses, using mouse acute brain slices and
    organotypic slices culture. The improved method allowed for selective stimulation
    of presynaptic mossy fiber boutons and the observation of synaptic vesicle pool
    dynamics at the active zones. Our results uncovered several intriguing morphological
    features of mossy fiber boutons. First, the docked vesicle pool was largely depleted
    (more than 70%) after stimulation, implying that the docked synaptic vesicles
    pool and readily releasable pool are vastly overlapping in mossy fiber boutons.
    Second, the synaptic vesicles are skewed towards larger diameters, displaying
    a wide range of sizes. An increase in the mean diameter of synaptic vesicles,
    after single and repetitive stimulation, suggests that smaller vesicles have a
    higher release probability. Third, we observed putative endocytotic structures
    after moderate light stimulation, matching the timing of previously described
    ultrafast endocytosis (Watanabe et al., 2013a; Delvendahl et al., 2016). \r\n\tIn
    addition, synaptic transmission depends on a sophisticated system of protein machinery
    and calcium channels (Südhof, 2013b), which amplifies the challenge in studying
    synaptic communication as these interactions can be potentially modified during
    synaptic plasticity. And although recent study elucidated the potential correlation
    between physiological and morphological properties of synapses during synaptic
    plasticity (Vandael et al., 2020), the molecular underpinning of it remains unknown.
    Thus, the presented work tries to overcome this challenge and aims to pinpoint
    changes in the molecular architecture at hippocampal mossy fiber bouton synapses
    during short- and long-term potentiation (STP and LTP), we combined chemical potentiation,
    with the application of a cyclic adenosine monophosphate agonist (i.e. forskolin)
    and freeze-fracture replica immunolabelling. This method allowed the localization
    of membrane-bound proteins with nanometer precision within the active zone, in
    particular, P/Q-type calcium channels and synaptic vesicle priming proteins Munc13-1/2.
    First, we found that the number of clusters of Munc13-1 in the mossy fiber bouton
    active zone increased significantly during STP, but decreased to lower than the
    control value during LTP. Secondly, although the distance between the calcium
    channels and Munc13-1s did not change after induction of STP, it shortened during
    the LTP phase. Additionally, forskolin did not affect Munc13-2 distribution during
    STP and LTP. These results indicate the existence of two distinct mechanisms that
    govern STP and LTP at mossy fiber bouton synapses: an increase in the readily
    realizable pool in the case of STP and a potential increase in release probability
    during LTP. “Flash and freeze” and functional electron microscopy, are versatile
    methods that can be successfully applied to intact brain circuits to study synaptic
    transmission even at the molecular level.\r\n"
acknowledged_ssus:
- _id: EM-Fac
- _id: PreCl
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Olena
  full_name: Kim, Olena
  id: 3F8ABDDA-F248-11E8-B48F-1D18A9856A87
  last_name: Kim
citation:
  ama: Kim O. Nanoarchitecture of hippocampal mossy fiber-CA3 pyramidal neuron synapses.
    2022. doi:<a href="https://doi.org/10.15479/at:ista:11196">10.15479/at:ista:11196</a>
  apa: Kim, O. (2022). <i>Nanoarchitecture of hippocampal mossy fiber-CA3 pyramidal
    neuron synapses</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:11196">https://doi.org/10.15479/at:ista:11196</a>
  chicago: Kim, Olena. “Nanoarchitecture of Hippocampal Mossy Fiber-CA3 Pyramidal
    Neuron Synapses.” Institute of Science and Technology Austria, 2022. <a href="https://doi.org/10.15479/at:ista:11196">https://doi.org/10.15479/at:ista:11196</a>.
  ieee: O. Kim, “Nanoarchitecture of hippocampal mossy fiber-CA3 pyramidal neuron
    synapses,” Institute of Science and Technology Austria, 2022.
  ista: Kim O. 2022. Nanoarchitecture of hippocampal mossy fiber-CA3 pyramidal neuron
    synapses. Institute of Science and Technology Austria.
  mla: Kim, Olena. <i>Nanoarchitecture of Hippocampal Mossy Fiber-CA3 Pyramidal Neuron
    Synapses</i>. Institute of Science and Technology Austria, 2022, doi:<a href="https://doi.org/10.15479/at:ista:11196">10.15479/at:ista:11196</a>.
  short: O. Kim, Nanoarchitecture of Hippocampal Mossy Fiber-CA3 Pyramidal Neuron
    Synapses, Institute of Science and Technology Austria, 2022.
date_created: 2022-04-20T09:47:12Z
date_published: 2022-04-20T00:00:00Z
date_updated: 2023-08-18T06:31:52Z
day: '20'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: PeJo
- _id: GradSch
doi: 10.15479/at:ista:11196
ec_funded: 1
file:
- access_level: open_access
  checksum: 1616a8bf6f13a57c892dac873dcd0936
  content_type: application/pdf
  creator: okim
  date_created: 2022-04-20T14:21:56Z
  date_updated: 2023-04-20T22:30:03Z
  embargo: 2023-04-19
  file_id: '11220'
  file_name: Olena_KIM_thesis_final.pdf
  file_size: 21273537
  relation: main_file
- access_level: closed
  checksum: 1acb433f98dc42abb0b4b0cbb0c4b918
  content_type: application/x-zip-compressed
  creator: okim
  date_created: 2022-04-20T14:22:56Z
  date_updated: 2023-04-20T22:30:03Z
  embargo_to: open_access
  file_id: '11221'
  file_name: KIM_thesis_final.zip
  file_size: 59248569
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file_date_updated: 2023-04-20T22:30:03Z
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '04'
oa: 1
oa_version: Published Version
page: '132'
project:
- _id: 25BAF7B2-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '708497'
  name: Presynaptic calcium channels distribution and impact on coupling at the hippocampal
    mossy fiber synapse
- _id: 25B7EB9E-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '692692'
  name: Biophysics and circuit function of a giant cortical glumatergic synapse
- _id: 25C3DBB6-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W01205
  name: Zellkommunikation in Gesundheit und Krankheit
- _id: 25C5A090-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: Z00312
  name: The Wittgenstein Prize
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '11222'
    relation: part_of_dissertation
    status: public
  - id: '7473'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Peter M
  full_name: Jonas, Peter M
  id: 353C1B58-F248-11E8-B48F-1D18A9856A87
  last_name: Jonas
  orcid: 0000-0001-5001-4804
title: Nanoarchitecture of hippocampal mossy fiber-CA3 pyramidal neuron synapses
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: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2022'
...
---
_id: '11321'
abstract:
- lang: eng
  text: 'Here are the research data underlying the publication "Effects of fine-scale
    population structure on the distribution of heterozygosity in a long-term study
    of Antirrhinum majus" Further information are summed up in the README document. '
article_processing_charge: No
author:
- first_name: Parvathy
  full_name: Surendranadh, Parvathy
  id: 455235B8-F248-11E8-B48F-1D18A9856A87
  last_name: Surendranadh
- first_name: Louise S
  full_name: Arathoon, Louise S
  id: 2CFCFF98-F248-11E8-B48F-1D18A9856A87
  last_name: Arathoon
  orcid: 0000-0003-1771-714X
- first_name: Carina
  full_name: Baskett, Carina
  id: 3B4A7CE2-F248-11E8-B48F-1D18A9856A87
  last_name: Baskett
  orcid: 0000-0002-7354-8574
- first_name: David
  full_name: Field, David
  id: 419049E2-F248-11E8-B48F-1D18A9856A87
  last_name: Field
  orcid: 0000-0002-4014-8478
- first_name: Melinda
  full_name: Pickup, Melinda
  id: 2C78037E-F248-11E8-B48F-1D18A9856A87
  last_name: Pickup
  orcid: 0000-0001-6118-0541
- 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: Surendranadh P, Arathoon LS, Baskett C, Field D, Pickup M, Barton NH. Effects
    of fine-scale population structure on the distribution of heterozygosity in a
    long-term study of Antirrhinum majus. 2022. doi:<a href="https://doi.org/10.15479/at:ista:11321">10.15479/at:ista:11321</a>
  apa: Surendranadh, P., Arathoon, L. S., Baskett, C., Field, D., Pickup, M., &#38;
    Barton, N. H. (2022). Effects of fine-scale population structure on the distribution
    of heterozygosity in a long-term study of Antirrhinum majus. Institute of Science
    and Technology Austria. <a href="https://doi.org/10.15479/at:ista:11321">https://doi.org/10.15479/at:ista:11321</a>
  chicago: Surendranadh, Parvathy, Louise S Arathoon, Carina Baskett, David Field,
    Melinda Pickup, and Nicholas H Barton. “Effects of Fine-Scale Population Structure
    on the Distribution of Heterozygosity in a Long-Term Study of Antirrhinum Majus.”
    Institute of Science and Technology Austria, 2022. <a href="https://doi.org/10.15479/at:ista:11321">https://doi.org/10.15479/at:ista:11321</a>.
  ieee: P. Surendranadh, L. S. Arathoon, C. Baskett, D. Field, M. Pickup, and N. H.
    Barton, “Effects of fine-scale population structure on the distribution of heterozygosity
    in a long-term study of Antirrhinum majus.” Institute of Science and Technology
    Austria, 2022.
  ista: Surendranadh P, Arathoon LS, Baskett C, Field D, Pickup M, Barton NH. 2022.
    Effects of fine-scale population structure on the distribution of heterozygosity
    in a long-term study of Antirrhinum majus, Institute of Science and Technology
    Austria, <a href="https://doi.org/10.15479/at:ista:11321">10.15479/at:ista:11321</a>.
  mla: Surendranadh, Parvathy, et al. <i>Effects of Fine-Scale Population Structure
    on the Distribution of Heterozygosity in a Long-Term Study of Antirrhinum Majus</i>.
    Institute of Science and Technology Austria, 2022, doi:<a href="https://doi.org/10.15479/at:ista:11321">10.15479/at:ista:11321</a>.
  short: P. Surendranadh, L.S. Arathoon, C. Baskett, D. Field, M. Pickup, N.H. Barton,
    (2022).
contributor:
- contributor_type: project_member
  first_name: Louise S
  id: 2CFCFF98-F248-11E8-B48F-1D18A9856A87
  last_name: Arathoon
- contributor_type: project_member
  first_name: Carina
  id: 3B4A7CE2-F248-11E8-B48F-1D18A9856A87
  last_name: Baskett
  orcid: 0000-0002-7354-8574
- contributor_type: project_member
  first_name: David
  id: 419049E2-F248-11E8-B48F-1D18A9856A87
  last_name: Field
  orcid: 0000-0002-4014-8478
- contributor_type: project_member
  first_name: Melinda
  id: 2C78037E-F248-11E8-B48F-1D18A9856A87
  last_name: Pickup
  orcid: 0000-0001-6118-0541
- contributor_type: project_member
  first_name: Nicholas H
  id: 4880FE40-F248-11E8-B48F-1D18A9856A87
  last_name: Barton
  orcid: 0000-0002-8548-5240
date_created: 2022-04-22T09:42:24Z
date_published: 2022-04-28T00:00:00Z
date_updated: 2024-02-21T12:41:09Z
day: '28'
ddc:
- '570'
department:
- _id: GradSch
- _id: NiBa
doi: 10.15479/at:ista:11321
file:
- access_level: open_access
  checksum: 96c1b86cdf25481f2a52972fcc45ca7f
  content_type: application/x-zip-compressed
  creator: larathoo
  date_created: 2022-04-22T09:39:03Z
  date_updated: 2022-04-22T09:39:03Z
  file_id: '11326'
  file_name: Data_Code.zip
  file_size: 13260571
  relation: main_file
  success: 1
file_date_updated: 2022-04-22T09:39:03Z
has_accepted_license: '1'
month: '04'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '11411'
    relation: used_in_publication
    status: public
  - id: '9192'
    relation: earlier_version
    status: public
  - id: '8254'
    relation: earlier_version
    status: public
status: public
title: Effects of fine-scale population structure on the distribution of heterozygosity
  in a long-term study of Antirrhinum majus
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: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2022'
...
---
_id: '11362'
abstract:
- lang: eng
  text: "Deep learning has enabled breakthroughs in challenging computing problems
    and has emerged as the standard problem-solving tool for computer vision and natural
    language processing tasks.\r\nOne exception to this trend is safety-critical tasks
    where robustness and resilience requirements contradict the black-box nature of
    neural networks. \r\nTo deploy deep learning methods for these tasks, it is vital
    to provide guarantees on neural network agents' safety and robustness criteria.
    \r\nThis can be achieved by developing formal verification methods to verify the
    safety and robustness properties of neural networks.\r\n\r\nOur goal is to design,
    develop and assess safety verification methods for neural networks to improve
    their reliability and trustworthiness in real-world applications.\r\nThis thesis
    establishes techniques for the verification of compressed and adversarially trained
    models as well as the design of novel neural networks for verifiably safe decision-making.\r\n\r\nFirst,
    we establish the problem of verifying quantized neural networks. Quantization
    is a technique that trades numerical precision for the computational efficiency
    of running a neural network and is widely adopted in industry.\r\nWe show that
    neglecting the reduced precision when verifying a neural network can lead to wrong
    conclusions about the robustness and safety of the network, highlighting that
    novel techniques for quantized network verification are necessary. We introduce
    several bit-exact verification methods explicitly designed for quantized neural
    networks and experimentally confirm on realistic networks that the network's robustness
    and other formal properties are affected by the quantization.\r\n\r\nFurthermore,
    we perform a case study providing evidence that adversarial training, a standard
    technique for making neural networks more robust, has detrimental effects on the
    network's performance. This robustness-accuracy tradeoff has been studied before
    regarding the accuracy obtained on classification datasets where each data point
    is independent of all other data points. On the other hand, we investigate the
    tradeoff empirically in robot learning settings where a both, a high accuracy
    and a high robustness, are desirable.\r\nOur results suggest that the negative
    side-effects of adversarial training outweigh its robustness benefits in practice.\r\n\r\nFinally,
    we consider the problem of verifying safety when running a Bayesian neural network
    policy in a feedback loop with systems over the infinite time horizon. Bayesian
    neural networks are probabilistic models for learning uncertainties in the data
    and are therefore often used on robotic and healthcare applications where data
    is inherently stochastic.\r\nWe introduce a method for recalibrating Bayesian
    neural networks so that they yield probability distributions over safe decisions
    only.\r\nOur method learns a safety certificate that guarantees safety over the
    infinite time horizon to determine which decisions are safe in every possible
    state of the system.\r\nWe demonstrate the effectiveness of our approach on a
    series of reinforcement learning benchmarks."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Mathias
  full_name: Lechner, Mathias
  id: 3DC22916-F248-11E8-B48F-1D18A9856A87
  last_name: Lechner
citation:
  ama: Lechner M. Learning verifiable representations. 2022. doi:<a href="https://doi.org/10.15479/at:ista:11362">10.15479/at:ista:11362</a>
  apa: Lechner, M. (2022). <i>Learning verifiable representations</i>. Institute of
    Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:11362">https://doi.org/10.15479/at:ista:11362</a>
  chicago: Lechner, Mathias. “Learning Verifiable Representations.” Institute of Science
    and Technology Austria, 2022. <a href="https://doi.org/10.15479/at:ista:11362">https://doi.org/10.15479/at:ista:11362</a>.
  ieee: M. Lechner, “Learning verifiable representations,” Institute of Science and
    Technology Austria, 2022.
  ista: Lechner M. 2022. Learning verifiable representations. Institute of Science
    and Technology Austria.
  mla: Lechner, Mathias. <i>Learning Verifiable Representations</i>. Institute of
    Science and Technology Austria, 2022, doi:<a href="https://doi.org/10.15479/at:ista:11362">10.15479/at:ista:11362</a>.
  short: M. Lechner, Learning Verifiable Representations, Institute of Science and
    Technology Austria, 2022.
date_created: 2022-05-12T07:14:01Z
date_published: 2022-05-12T00:00:00Z
date_updated: 2025-07-14T09:10:11Z
day: '12'
ddc:
- '004'
degree_awarded: PhD
department:
- _id: GradSch
- _id: ToHe
doi: 10.15479/at:ista:11362
ec_funded: 1
file:
- access_level: closed
  checksum: 8eefa9c7c10ca7e1a2ccdd731962a645
  content_type: application/zip
  creator: mlechner
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file_date_updated: 2022-05-17T15:19:39Z
has_accepted_license: '1'
keyword:
- neural networks
- verification
- machine learning
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nd/4.0/
month: '05'
oa: 1
oa_version: Published Version
page: '124'
project:
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: Z211
  name: The Wittgenstein Prize
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
  call_identifier: H2020
  grant_number: '101020093'
  name: Vigilant Algorithmic Monitoring of Software
publication_identifier:
  isbn:
  - 978-3-99078-017-6
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '11366'
    relation: part_of_dissertation
    status: public
  - id: '7808'
    relation: part_of_dissertation
    status: public
  - id: '10666'
    relation: part_of_dissertation
    status: public
  - id: '10665'
    relation: part_of_dissertation
    status: public
  - id: '10667'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Thomas A
  full_name: Henzinger, Thomas A
  id: 40876CD8-F248-11E8-B48F-1D18A9856A87
  last_name: Henzinger
  orcid: 0000-0002-2985-7724
title: Learning verifiable representations
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  name: Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)
  short: CC BY-ND (4.0)
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2022'
...
---
_id: '11388'
abstract:
- lang: eng
  text: "In evolve and resequence experiments, a population is sequenced, subjected
    to selection and\r\nthen sequenced again, so that genetic changes before and after
    selection can be observed at\r\nthe genetic level. Here, I use these studies to
    better understand the genetic basis of complex\r\ntraits - traits which depend
    on more than a few genes.\r\nIn the first chapter, I discuss the first evolve
    and resequence experiment, in which a population\r\nof mice, the so-called \"Longshanks\"
    mice, were selected for tibia length while their body mass\r\nwas kept constant.
    The full pedigree is known. We observed a selection response on all\r\nchromosomes
    and used the infinitesimal model with linkage, a model which assumes an infinite\r\nnumber
    of genes with infinitesimally small effect sizes, as a null model. Results implied
    a very\r\npolygenic basis with a few loci of major effect standing out and changing
    in parallel. There\r\nwas large variability between the different chromosomes
    in this study, probably due to LD.\r\nIn chapter two, I go on to discuss the impact
    of LD, on the variability in an allele-frequency\r\nbased summary statistic, giving
    an equation based on the initial allele frequencies, average\r\npairwise LD, and
    the first four moments of the haplotype block copy number distribution. I\r\ndescribe
    this distribution by referring back to the founder generation. I then demonstrate\r\nhow
    to infer selection via a maximum likelihood scheme on the example of a single
    locus and\r\ndiscuss how to extend this to more realistic scenarios.\r\nIn chapter
    three, I discuss the second evolve and resequence experiment, in which a small\r\npopulation
    of Drosophila melanogaster was selected for increased pupal case size over 6\r\ngenerations.
    The experiment was highly replicated with 27 lines selected within family and
    a\r\nknown pedigree. We observed a phenotypic selection response of over one standard
    deviation.\r\nI describe the patterns in allele frequency data, including allele
    frequency changes and patterns\r\nof heterozygosity, and give ideas for future
    work."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Stefanie
  full_name: Belohlavy, Stefanie
  id: 43FE426A-F248-11E8-B48F-1D18A9856A87
  last_name: Belohlavy
  orcid: 0000-0002-9849-498X
citation:
  ama: Belohlavy S. The genetic basis of complex traits studied via analysis of evolve
    and resequence experiments. 2022. doi:<a href="https://doi.org/10.15479/at:ista:11388">10.15479/at:ista:11388</a>
  apa: Belohlavy, S. (2022). <i>The genetic basis of complex traits studied via analysis
    of evolve and resequence experiments</i>. Institute of Science and Technology
    Austria. <a href="https://doi.org/10.15479/at:ista:11388">https://doi.org/10.15479/at:ista:11388</a>
  chicago: Belohlavy, Stefanie. “The Genetic Basis of Complex Traits Studied via Analysis
    of Evolve and Resequence Experiments.” Institute of Science and Technology Austria,
    2022. <a href="https://doi.org/10.15479/at:ista:11388">https://doi.org/10.15479/at:ista:11388</a>.
  ieee: S. Belohlavy, “The genetic basis of complex traits studied via analysis of
    evolve and resequence experiments,” Institute of Science and Technology Austria,
    2022.
  ista: Belohlavy S. 2022. The genetic basis of complex traits studied via analysis
    of evolve and resequence experiments. Institute of Science and Technology Austria.
  mla: Belohlavy, Stefanie. <i>The Genetic Basis of Complex Traits Studied via Analysis
    of Evolve and Resequence Experiments</i>. Institute of Science and Technology
    Austria, 2022, doi:<a href="https://doi.org/10.15479/at:ista:11388">10.15479/at:ista:11388</a>.
  short: S. Belohlavy, The Genetic Basis of Complex Traits Studied via Analysis of
    Evolve and Resequence Experiments, Institute of Science and Technology Austria,
    2022.
date_created: 2022-05-16T16:49:18Z
date_published: 2022-05-18T00:00:00Z
date_updated: 2023-08-29T06:41:51Z
day: '18'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: GradSch
- _id: NiBa
doi: 10.15479/at:ista:11388
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file_date_updated: 2023-05-20T22:30:03Z
has_accepted_license: '1'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: '98'
publication_identifier:
  isbn:
  - 978-3-99078-018-3
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '6713'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Nicholas H
  full_name: Barton, Nicholas H
  id: 4880FE40-F248-11E8-B48F-1D18A9856A87
  last_name: Barton
  orcid: 0000-0002-8548-5240
title: The genetic basis of complex traits studied via analysis of evolve and resequence
  experiments
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: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2022'
...
---
_id: '11393'
abstract:
- lang: eng
  text: "AMPA receptors (AMPARs) mediate fast excitatory neurotransmission and their
    role is\r\nimplicated in complex processes such as learning and memory and various
    neurological\r\ndiseases. These receptors are composed of different subunits and
    the subunit composition can\r\naffect channel properties, receptor trafficking
    and interaction with other associated proteins.\r\nUsing the high sensitivity
    SDS-digested freeze-fracture replica labeling (SDS-FRL) for\r\nelectron microscopy
    I investigated the number, density, and localization of AMPAR subunits,\r\nGluA1,
    GluA2, GluA3, and GluA1-3 (panAMPA) in pyramidal cells in the CA1 area of mouse\r\nhippocampus.
    I have found that the immunogold labeling for all of these subunits in the\r\npostsynaptic
    sites was highest in stratum radiatum and lowest in stratum lacunosummoleculare.
    The labeling density for the all subunits in the extrasynaptic sites showed a
    gradual\r\nincrease from the pyramidal cell soma towards the distal part of stratum
    radiatum. The densities\r\nof extrasynaptic GluA1, GluA2 and panAMPA labeling
    reached 10-15% of synaptic densities,\r\nwhile the ratio of extrasynaptic labeling
    for GluA3 was significantly lower compared than those\r\nfor other subunits. The
    labeling patterns for GluA1, GluA2 and GluA1-3 are similar and their\r\ndensities
    were higher in the periphery than center of synapses. In contrast, the GluA3-\r\ncontaining
    receptors were more centrally localized compared to the GluA1- and GluA2-\r\ncontaining
    receptors.\r\nThe hippocampus plays a central role in learning and memory. Contextual
    learning has been\r\nshown to require the delivery of AMPA receptors to CA1 synapses
    in the dorsal hippocampus.\r\nHowever, proximodistal heterogeneity of this plasticity
    and particular contribution of different\r\nAMPA receptor subunits are not fully
    understood. By combining inhibitory avoidance task, a\r\nhippocampus-dependent
    contextual fear-learning paradigm, with SDS-FRL, I have revealed an\r\nincrease
    in synaptic density specific to GluA1-containing AMPA receptors in the CA1 area.\r\nThe
    intrasynaptic distribution of GluA1 also changed from the periphery to center-preferred\r\npattern.
    Furthermore, this synaptic plasticity was evident selectively in stratum radiatum
    but\r\nnot stratum oriens, and in the CA1 subregion proximal but not distal to
    CA2. These findings\r\nfurther contribute to our understanding of how specific
    hippocampal subregions and AMPA\r\nreceptor subunits are involved in physiological
    learning.\r\nAlthough the immunolabeling results above shed light on subunit-specific
    plasticity in\r\nAMPAR distribution, no tools to visualize and study the subunit
    composition at the single\r\nchannel level in situ have been available. Electron
    microscopy with conventional immunogold\r\nlabeling approaches has limitations
    in the single channel analysis because of the large size of\r\nantibodies and
    steric hindrance hampering multiple subunit labeling of single channels. I\r\nmanaged
    to develop a new chemical labeling system using a short peptide tag and small\r\nsynthetic
    probes, which form specific covalent bond with a cysteine residue in the tag fused
    to\r\nproteins of interest (reactive tag system). I additionally made substantial
    progress into adapting\r\nthis system for AMPA receptor subunits."
acknowledged_ssus:
- _id: EM-Fac
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Marijo
  full_name: Jevtic, Marijo
  id: 4BE3BC94-F248-11E8-B48F-1D18A9856A87
  last_name: Jevtic
citation:
  ama: Jevtic M. Contextual fear learning induced changes in AMPA receptor subtypes
    along the proximodistal axis in dorsal hippocampus. 2022. doi:<a href="https://doi.org/10.15479/at:ista:11393">10.15479/at:ista:11393</a>
  apa: Jevtic, M. (2022). <i>Contextual fear learning induced changes in AMPA receptor
    subtypes along the proximodistal axis in dorsal hippocampus</i>. Institute of
    Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:11393">https://doi.org/10.15479/at:ista:11393</a>
  chicago: Jevtic, Marijo. “Contextual Fear Learning Induced Changes in AMPA Receptor
    Subtypes along the Proximodistal Axis in Dorsal Hippocampus.” Institute of Science
    and Technology Austria, 2022. <a href="https://doi.org/10.15479/at:ista:11393">https://doi.org/10.15479/at:ista:11393</a>.
  ieee: M. Jevtic, “Contextual fear learning induced changes in AMPA receptor subtypes
    along the proximodistal axis in dorsal hippocampus,” Institute of Science and
    Technology Austria, 2022.
  ista: Jevtic M. 2022. Contextual fear learning induced changes in AMPA receptor
    subtypes along the proximodistal axis in dorsal hippocampus. Institute of Science
    and Technology Austria.
  mla: Jevtic, Marijo. <i>Contextual Fear Learning Induced Changes in AMPA Receptor
    Subtypes along the Proximodistal Axis in Dorsal Hippocampus</i>. Institute of
    Science and Technology Austria, 2022, doi:<a href="https://doi.org/10.15479/at:ista:11393">10.15479/at:ista:11393</a>.
  short: M. Jevtic, Contextual Fear Learning Induced Changes in AMPA Receptor Subtypes
    along the Proximodistal Axis in Dorsal Hippocampus, Institute of Science and Technology
    Austria, 2022.
date_created: 2022-05-17T08:57:41Z
date_published: 2022-05-16T00:00:00Z
date_updated: 2023-09-07T14:53:44Z
day: '16'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: RySh
doi: 10.15479/at:ista:11393
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  date_created: 2022-05-17T12:09:25Z
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file_date_updated: 2023-05-17T22:30:03Z
has_accepted_license: '1'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: '108'
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '7391'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Ryuichi
  full_name: Shigemoto, Ryuichi
  id: 499F3ABC-F248-11E8-B48F-1D18A9856A87
  last_name: Shigemoto
  orcid: 0000-0001-8761-9444
title: Contextual fear learning induced changes in AMPA receptor subtypes along the
  proximodistal axis in dorsal hippocampus
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2022'
...
---
_id: '11403'
article_processing_charge: No
article_type: original
author:
- first_name: Andrea
  full_name: Stöllner, Andrea
  id: 4bdcf7f6-eb97-11eb-a6c2-9981bbdc3bed
  last_name: Stöllner
  orcid: 0000-0002-0464-8440
citation:
  ama: Stöllner A. Measuring airborne nanoplastics using aerosol physics. <i>Nature
    Reviews Earth and Environment</i>. 2022;3(6):360. doi:<a href="https://doi.org/10.1038/s43017-022-00302-y">10.1038/s43017-022-00302-y</a>
  apa: Stöllner, A. (2022). Measuring airborne nanoplastics using aerosol physics.
    <i>Nature Reviews Earth and Environment</i>. Springer Nature. <a href="https://doi.org/10.1038/s43017-022-00302-y">https://doi.org/10.1038/s43017-022-00302-y</a>
  chicago: Stöllner, Andrea. “Measuring Airborne Nanoplastics Using Aerosol Physics.”
    <i>Nature Reviews Earth and Environment</i>. Springer Nature, 2022. <a href="https://doi.org/10.1038/s43017-022-00302-y">https://doi.org/10.1038/s43017-022-00302-y</a>.
  ieee: A. Stöllner, “Measuring airborne nanoplastics using aerosol physics,” <i>Nature
    Reviews Earth and Environment</i>, vol. 3, no. 6. Springer Nature, p. 360, 2022.
  ista: Stöllner A. 2022. Measuring airborne nanoplastics using aerosol physics. Nature
    Reviews Earth and Environment. 3(6), 360.
  mla: Stöllner, Andrea. “Measuring Airborne Nanoplastics Using Aerosol Physics.”
    <i>Nature Reviews Earth and Environment</i>, vol. 3, no. 6, Springer Nature, 2022,
    p. 360, doi:<a href="https://doi.org/10.1038/s43017-022-00302-y">10.1038/s43017-022-00302-y</a>.
  short: A. Stöllner, Nature Reviews Earth and Environment 3 (2022) 360.
date_created: 2022-05-22T22:01:41Z
date_published: 2022-06-01T00:00:00Z
date_updated: 2023-11-28T09:53:42Z
day: '01'
department:
- _id: GradSch
doi: 10.1038/s43017-022-00302-y
external_id:
  isi:
  - '000791125600002'
intvolume: '         3'
isi: 1
issue: '6'
language:
- iso: eng
month: '06'
oa_version: None
page: '360'
publication: Nature Reviews Earth and Environment
publication_identifier:
  eissn:
  - 2662-138X
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Measuring airborne nanoplastics using aerosol physics
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 3
year: '2022'
...
---
_id: '11411'
abstract:
- lang: eng
  text: Many studies have quantified the distribution of heterozygosity and relatedness
    in natural populations, but few have examined the demographic processes driving
    these patterns. In this study, we take a novel approach by studying how population
    structure affects both pairwise identity and the distribution of heterozygosity
    in a natural population of the self-incompatible plant Antirrhinum majus. Excess
    variance in heterozygosity between individuals is due to identity disequilibrium,
    which reflects the variance in inbreeding between individuals; it is measured
    by the statistic g2. We calculated g2 together with FST and pairwise relatedness
    (Fij) using 91 SNPs in 22,353 individuals collected over 11 years. We find that
    pairwise Fij declines rapidly over short spatial scales, and the excess variance
    in heterozygosity between individuals reflects significant variation in inbreeding.
    Additionally, we detect an excess of individuals with around half the average
    heterozygosity, indicating either selfing or matings between close relatives.
    We use 2 types of simulation to ask whether variation in heterozygosity is consistent
    with fine-scale spatial population structure. First, by simulating offspring using
    parents drawn from a range of spatial scales, we show that the known pollen dispersal
    kernel explains g2. Second, we simulate a 1,000-generation pedigree using the
    known dispersal and spatial distribution and find that the resulting g2 is consistent
    with that observed from the field data. In contrast, a simulated population with
    uniform density underestimates g2, indicating that heterogeneous density promotes
    identity disequilibrium. Our study shows that heterogeneous density and leptokurtic
    dispersal can together explain the distribution of heterozygosity.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "Part of this work was funded by Marie Curie COFUND Doctoral Fellowship
  and Austrian Science Fund FWF (grant P32166).\r\nWe thank the many volunteers and
  friends who have contributed to data collection in the field site over the years,
  in particular those who have managed field seasons: Barbora Trubenova, Maria Clara
  Melo, Tom Ellis, Eva Cereghetti, Lenka Matejovicova, Beatriz Pablo Carmona. Frederic
  Ferrer and Eva Salmerón Mateu have been immensely helpful with logistics at our
  informal field station, El Serrat de Planoles. We thank Sean Stankowski for technical
  help in\r\nproducing figure 1. This research was also supported by the Scientific
  Service Units (SSU) of IST Austria through resources provided by Scientific Computing
  (SciComp)."
article_number: iyac083
article_processing_charge: No
article_type: original
author:
- first_name: Parvathy
  full_name: Surendranadh, Parvathy
  id: 455235B8-F248-11E8-B48F-1D18A9856A87
  last_name: Surendranadh
- first_name: Louise S
  full_name: Arathoon, Louise S
  id: 2CFCFF98-F248-11E8-B48F-1D18A9856A87
  last_name: Arathoon
  orcid: 0000-0003-1771-714X
- first_name: Carina
  full_name: Baskett, Carina
  id: 3B4A7CE2-F248-11E8-B48F-1D18A9856A87
  last_name: Baskett
  orcid: 0000-0002-7354-8574
- first_name: David
  full_name: Field, David
  id: 419049E2-F248-11E8-B48F-1D18A9856A87
  last_name: Field
  orcid: 0000-0002-4014-8478
- first_name: Melinda
  full_name: Pickup, Melinda
  id: 2C78037E-F248-11E8-B48F-1D18A9856A87
  last_name: Pickup
  orcid: 0000-0001-6118-0541
- 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: Surendranadh P, Arathoon LS, Baskett C, Field D, Pickup M, Barton NH. Effects
    of fine-scale population structure on the distribution of heterozygosity in a
    long-term study of Antirrhinum majus. <i>Genetics</i>. 2022;221(3). doi:<a href="https://doi.org/10.1093/genetics/iyac083">10.1093/genetics/iyac083</a>
  apa: Surendranadh, P., Arathoon, L. S., Baskett, C., Field, D., Pickup, M., &#38;
    Barton, N. H. (2022). Effects of fine-scale population structure on the distribution
    of heterozygosity in a long-term study of Antirrhinum majus. <i>Genetics</i>.
    Oxford University Press. <a href="https://doi.org/10.1093/genetics/iyac083">https://doi.org/10.1093/genetics/iyac083</a>
  chicago: Surendranadh, Parvathy, Louise S Arathoon, Carina Baskett, David Field,
    Melinda Pickup, and Nicholas H Barton. “Effects of Fine-Scale Population Structure
    on the Distribution of Heterozygosity in a Long-Term Study of Antirrhinum Majus.”
    <i>Genetics</i>. Oxford University Press, 2022. <a href="https://doi.org/10.1093/genetics/iyac083">https://doi.org/10.1093/genetics/iyac083</a>.
  ieee: P. Surendranadh, L. S. Arathoon, C. Baskett, D. Field, M. Pickup, and N. H.
    Barton, “Effects of fine-scale population structure on the distribution of heterozygosity
    in a long-term study of Antirrhinum majus,” <i>Genetics</i>, vol. 221, no. 3.
    Oxford University Press, 2022.
  ista: Surendranadh P, Arathoon LS, Baskett C, Field D, Pickup M, Barton NH. 2022.
    Effects of fine-scale population structure on the distribution of heterozygosity
    in a long-term study of Antirrhinum majus. Genetics. 221(3), iyac083.
  mla: Surendranadh, Parvathy, et al. “Effects of Fine-Scale Population Structure
    on the Distribution of Heterozygosity in a Long-Term Study of Antirrhinum Majus.”
    <i>Genetics</i>, vol. 221, no. 3, iyac083, Oxford University Press, 2022, doi:<a
    href="https://doi.org/10.1093/genetics/iyac083">10.1093/genetics/iyac083</a>.
  short: P. Surendranadh, L.S. Arathoon, C. Baskett, D. Field, M. Pickup, N.H. Barton,
    Genetics 221 (2022).
date_created: 2022-05-26T13:44:50Z
date_published: 2022-07-01T00:00:00Z
date_updated: 2024-02-21T12:38:33Z
day: '01'
ddc:
- '576'
department:
- _id: GradSch
- _id: NiBa
doi: 10.1093/genetics/iyac083
external_id:
  isi:
  - '000803735800001'
  pmid:
  - '35639938'
file:
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intvolume: '       221'
isi: 1
issue: '3'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Submitted Version
pmid: 1
project:
- _id: 05959E1C-7A3F-11EA-A408-12923DDC885E
  grant_number: P32166
  name: The maintenance of alternative adaptive peaks in snapdragons
publication: Genetics
publication_identifier:
  eissn:
  - 1943-2631
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
related_material:
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  - id: '14651'
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  - id: '11321'
    relation: research_data
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  - id: '9192'
    relation: research_data
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scopus_import: '1'
status: public
title: Effects of fine-scale population structure on the distribution of heterozygosity
  in a long-term study of Antirrhinum majus
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 221
year: '2022'
...
---
_id: '11438'
abstract:
- lang: eng
  text: Lasers with well-controlled relative frequencies are indispensable for many
    applications in science and technology. We present a frequency-offset locking
    method for lasers based on beat-frequency discrimination utilizing hybrid electronic
    LC filters. The method is specifically designed for decoupling the tightness of
    the lock from the broadness of its capture range. The presented demonstration
    locks two free-running diode lasers at 780 nm with a 5.5-GHz offset. It displays
    an offset frequency instability below 55 Hz for time scales in excess of 1000
    s and a minimum of 12 Hz at 10-s averaging. The performance is complemented with
    a 190-MHz lock-capture range, a tuning range of up to 1 GHz, and a frequency ramp
    agility of 200kHz/μs.
acknowledgement: This work was supported by IST Austria. The authors thank Yueheng
  Shi for technical contributions.
article_number: '054031'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Vyacheslav
  full_name: Li, Vyacheslav
  id: 3A4FAA92-F248-11E8-B48F-1D18A9856A87
  last_name: Li
- first_name: Fritz R
  full_name: Diorico, Fritz R
  id: 2E054C4C-F248-11E8-B48F-1D18A9856A87
  last_name: Diorico
- first_name: Onur
  full_name: Hosten, Onur
  id: 4C02D85E-F248-11E8-B48F-1D18A9856A87
  last_name: Hosten
  orcid: 0000-0002-2031-204X
citation:
  ama: Li V, Diorico FR, Hosten O. Laser frequency-offset locking at 10-Hz-level instability
    using hybrid electronic filters. <i>Physical Review Applied</i>. 2022;17(5). doi:<a
    href="https://doi.org/10.1103/physrevapplied.17.054031">10.1103/physrevapplied.17.054031</a>
  apa: Li, V., Diorico, F. R., &#38; Hosten, O. (2022). Laser frequency-offset locking
    at 10-Hz-level instability using hybrid electronic filters. <i>Physical Review
    Applied</i>. American Physical Society. <a href="https://doi.org/10.1103/physrevapplied.17.054031">https://doi.org/10.1103/physrevapplied.17.054031</a>
  chicago: Li, Vyacheslav, Fritz R Diorico, and Onur Hosten. “Laser Frequency-Offset
    Locking at 10-Hz-Level Instability Using Hybrid Electronic Filters.” <i>Physical
    Review Applied</i>. American Physical Society, 2022. <a href="https://doi.org/10.1103/physrevapplied.17.054031">https://doi.org/10.1103/physrevapplied.17.054031</a>.
  ieee: V. Li, F. R. Diorico, and O. Hosten, “Laser frequency-offset locking at 10-Hz-level
    instability using hybrid electronic filters,” <i>Physical Review Applied</i>,
    vol. 17, no. 5. American Physical Society, 2022.
  ista: Li V, Diorico FR, Hosten O. 2022. Laser frequency-offset locking at 10-Hz-level
    instability using hybrid electronic filters. Physical Review Applied. 17(5), 054031.
  mla: Li, Vyacheslav, et al. “Laser Frequency-Offset Locking at 10-Hz-Level Instability
    Using Hybrid Electronic Filters.” <i>Physical Review Applied</i>, vol. 17, no.
    5, 054031, American Physical Society, 2022, doi:<a href="https://doi.org/10.1103/physrevapplied.17.054031">10.1103/physrevapplied.17.054031</a>.
  short: V. Li, F.R. Diorico, O. Hosten, Physical Review Applied 17 (2022).
date_created: 2022-06-07T08:07:59Z
date_published: 2022-05-19T00:00:00Z
date_updated: 2023-08-03T07:18:34Z
day: '19'
department:
- _id: GradSch
- _id: OnHo
doi: 10.1103/physrevapplied.17.054031
external_id:
  arxiv:
  - '2111.13194'
  isi:
  - '000880670300001'
intvolume: '        17'
isi: 1
issue: '5'
keyword:
- General Physics and Astronomy
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: ' https://doi.org/10.48550/arXiv.2111.13194'
month: '05'
oa: 1
oa_version: Preprint
publication: Physical Review Applied
publication_identifier:
  issn:
  - 2331-7019
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
status: public
title: Laser frequency-offset locking at 10-Hz-level instability using hybrid electronic
  filters
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 17
year: '2022'
...
