---
OA_type: closed access
_id: '19444'
abstract:
- lang: eng
  text: As the field of neural organoids and assembloids expands, there is an emergent
    need for guidance and advice on designing, conducting and reporting experiments
    to increase the reproducibility and utility of these models. In this Perspective,
    we present a framework for the experimental process that encompasses ensuring
    the quality and integrity of human pluripotent stem cells, characterizing and
    manipulating neural cells in vitro, transplantation techniques and considerations
    for modelling human development, evolution and disease. As with all scientific
    endeavours, we advocate for rigorous experimental designs tailored to explicit
    scientific questions as well as transparent methodologies and data sharing to
    provide useful knowledge for current research practices and for developing regulatory
    standards.
acknowledgement: The authors thank members of their laboratories who provided feedback
  on earlier versions of this manuscript, including A. Jourdon, V. Mariano, T. L.
  Li, N. Caporale, E. Villa and M. Sutcliffe.
article_processing_charge: No
article_type: original
author:
- first_name: Sergiu P.
  full_name: Pașca, Sergiu P.
  last_name: Pașca
- first_name: Paola
  full_name: Arlotta, Paola
  last_name: Arlotta
- first_name: Helen S.
  full_name: Bateup, Helen S.
  last_name: Bateup
- first_name: J. Gray
  full_name: Camp, J. Gray
  last_name: Camp
- first_name: Silvia
  full_name: Cappello, Silvia
  last_name: Cappello
- first_name: Fred H.
  full_name: Gage, Fred H.
  last_name: Gage
- first_name: Jürgen A.
  full_name: Knoblich, Jürgen A.
  last_name: Knoblich
- first_name: Arnold R.
  full_name: Kriegstein, Arnold R.
  last_name: Kriegstein
- first_name: Madeline A.
  full_name: Lancaster, Madeline A.
  last_name: Lancaster
- first_name: Guo Li
  full_name: Ming, Guo Li
  last_name: Ming
- first_name: Gaia
  full_name: Novarino, Gaia
  id: 3E57A680-F248-11E8-B48F-1D18A9856A87
  last_name: Novarino
  orcid: 0000-0002-7673-7178
- first_name: Hideyuki
  full_name: Okano, Hideyuki
  last_name: Okano
- first_name: Malin
  full_name: Parmar, Malin
  last_name: Parmar
- first_name: In Hyun
  full_name: Park, In Hyun
  last_name: Park
- first_name: Orly
  full_name: Reiner, Orly
  last_name: Reiner
- first_name: Hongjun
  full_name: Song, Hongjun
  last_name: Song
- first_name: Lorenz
  full_name: Studer, Lorenz
  last_name: Studer
- first_name: Jun
  full_name: Takahashi, Jun
  last_name: Takahashi
- first_name: Sally
  full_name: Temple, Sally
  last_name: Temple
- first_name: Giuseppe
  full_name: Testa, Giuseppe
  last_name: Testa
- first_name: Barbara
  full_name: Treutlein, Barbara
  last_name: Treutlein
- first_name: Flora M.
  full_name: Vaccarino, Flora M.
  last_name: Vaccarino
- first_name: Pierre
  full_name: Vanderhaeghen, Pierre
  last_name: Vanderhaeghen
- first_name: Tracy
  full_name: Young-Pearse, Tracy
  last_name: Young-Pearse
citation:
  ama: Pașca SP, Arlotta P, Bateup HS, et al. A framework for neural organoids, assembloids
    and transplantation studies. <i>Nature</i>. 2025;639(8054):315-320. doi:<a href="https://doi.org/10.1038/s41586-024-08487-6">10.1038/s41586-024-08487-6</a>
  apa: Pașca, S. P., Arlotta, P., Bateup, H. S., Camp, J. G., Cappello, S., Gage,
    F. H., … Young-Pearse, T. (2025). A framework for neural organoids, assembloids
    and transplantation studies. <i>Nature</i>. Springer Nature. <a href="https://doi.org/10.1038/s41586-024-08487-6">https://doi.org/10.1038/s41586-024-08487-6</a>
  chicago: Pașca, Sergiu P., Paola Arlotta, Helen S. Bateup, J. Gray Camp, Silvia
    Cappello, Fred H. Gage, Jürgen A. Knoblich, et al. “A Framework for Neural Organoids,
    Assembloids and Transplantation Studies.” <i>Nature</i>. Springer Nature, 2025.
    <a href="https://doi.org/10.1038/s41586-024-08487-6">https://doi.org/10.1038/s41586-024-08487-6</a>.
  ieee: S. P. Pașca <i>et al.</i>, “A framework for neural organoids, assembloids
    and transplantation studies,” <i>Nature</i>, vol. 639, no. 8054. Springer Nature,
    pp. 315–320, 2025.
  ista: Pașca SP, Arlotta P, Bateup HS, Camp JG, Cappello S, Gage FH, Knoblich JA,
    Kriegstein AR, Lancaster MA, Ming GL, Novarino G, Okano H, Parmar M, Park IH,
    Reiner O, Song H, Studer L, Takahashi J, Temple S, Testa G, Treutlein B, Vaccarino
    FM, Vanderhaeghen P, Young-Pearse T. 2025. A framework for neural organoids, assembloids
    and transplantation studies. Nature. 639(8054), 315–320.
  mla: Pașca, Sergiu P., et al. “A Framework for Neural Organoids, Assembloids and
    Transplantation Studies.” <i>Nature</i>, vol. 639, no. 8054, Springer Nature,
    2025, pp. 315–20, doi:<a href="https://doi.org/10.1038/s41586-024-08487-6">10.1038/s41586-024-08487-6</a>.
  short: S.P. Pașca, P. Arlotta, H.S. Bateup, J.G. Camp, S. Cappello, F.H. Gage, J.A.
    Knoblich, A.R. Kriegstein, M.A. Lancaster, G.L. Ming, G. Novarino, H. Okano, M.
    Parmar, I.H. Park, O. Reiner, H. Song, L. Studer, J. Takahashi, S. Temple, G.
    Testa, B. Treutlein, F.M. Vaccarino, P. Vanderhaeghen, T. Young-Pearse, Nature
    639 (2025) 315–320.
date_created: 2025-03-23T23:01:27Z
date_published: 2025-03-13T00:00:00Z
date_updated: 2025-09-30T11:13:47Z
day: '13'
department:
- _id: GaNo
doi: 10.1038/s41586-024-08487-6
external_id:
  isi:
  - '001437461900001'
  pmid:
  - '39653126'
intvolume: '       639'
isi: 1
issue: '8054'
language:
- iso: eng
month: '03'
oa_version: None
page: 315-320
pmid: 1
publication: Nature
publication_identifier:
  eissn:
  - 1476-4687
  issn:
  - 0028-0836
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: A framework for neural organoids, assembloids and transplantation studies
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 639
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '19445'
abstract:
- lang: eng
  text: "In reconfiguration, we are given two solutions to a graph problem, such as
    Vertex Cover or Dominating Set, with each solution represented by a placement
    of tokens on vertices of the graph. Our task is to reconfigure one into the other
    using small steps while ensuring the intermediate configurations of tokens are
    also valid solutions. The two commonly studied settings are Token Jumping and
    Token Sliding, which allows moving a single token to an arbitrary or an adjacent
    vertex, respectively.\r\n\r\nWe introduce new rules that generalize Token Jumping,
    parameterized by the number of tokens allowed to move at once and by the maximum
    distance of each move. Our main contribution is identifying minimal rules that
    allow reconfiguring any possible given solution into any other for Independent
    Set, Vertex Cover, and Dominating Set. For each minimal rule, we also provide
    an efficient algorithm that finds a corresponding reconfiguration sequence.\r\n\r\nWe
    further focus on the rule that allows each token to move to an adjacent vertex
    in a single step. This natural variant turns out to be the minimal rule that guarantees
    reconfigurability for Vertex Cover. We determine the computational complexity
    of deciding whether a (shortest) reconfiguration sequence exists under this rule
    for the three studied problems. While reachability for Vertex Cover is shown to
    be in P, finding a shortest sequence is shown to be NP-complete. For Independent
    Set and Dominating Set, even reachability is shown to be PSPACE-complete."
acknowledgement: J. M. Křišťan acknowledges the support of the Czech Science Foundation
  Grant No. 24-12046S. This work was supported by the Grant Agency of the Czech Technical
  University in Prague, grant No. SGS23/205/OHK3/3T/18. J. Svoboda acknowledges the
  support of the ERC CoG 863818 (ForM-SMArt) grant.
alternative_title:
- LNCS
article_processing_charge: No
arxiv: 1
author:
- first_name: Jan Matyáš
  full_name: Křišťan, Jan Matyáš
  last_name: Křišťan
- first_name: Jakub
  full_name: Svoboda, Jakub
  id: 130759D2-D7DD-11E9-87D2-DE0DE6697425
  last_name: Svoboda
  orcid: 0000-0002-1419-3267
citation:
  ama: 'Křišťan JM, Svoboda J. Reconfiguration using generalized token jumping. In:
    <i>19th International Conference and Workshops on Algorithms and Computation</i>.
    Vol 15411. Springer Nature; 2025:244-265. doi:<a href="https://doi.org/10.1007/978-981-96-2845-2_16">10.1007/978-981-96-2845-2_16</a>'
  apa: 'Křišťan, J. M., &#38; Svoboda, J. (2025). Reconfiguration using generalized
    token jumping. In <i>19th International Conference and Workshops on Algorithms
    and Computation</i> (Vol. 15411, pp. 244–265). Chengdu, China: Springer Nature.
    <a href="https://doi.org/10.1007/978-981-96-2845-2_16">https://doi.org/10.1007/978-981-96-2845-2_16</a>'
  chicago: Křišťan, Jan Matyáš, and Jakub Svoboda. “Reconfiguration Using Generalized
    Token Jumping.” In <i>19th International Conference and Workshops on Algorithms
    and Computation</i>, 15411:244–65. Springer Nature, 2025. <a href="https://doi.org/10.1007/978-981-96-2845-2_16">https://doi.org/10.1007/978-981-96-2845-2_16</a>.
  ieee: J. M. Křišťan and J. Svoboda, “Reconfiguration using generalized token jumping,”
    in <i>19th International Conference and Workshops on Algorithms and Computation</i>,
    Chengdu, China, 2025, vol. 15411, pp. 244–265.
  ista: 'Křišťan JM, Svoboda J. 2025. Reconfiguration using generalized token jumping.
    19th International Conference and Workshops on Algorithms and Computation. WALCOM:
    International Conference and Workshops on Algorithms and Computation, LNCS, vol.
    15411, 244–265.'
  mla: Křišťan, Jan Matyáš, and Jakub Svoboda. “Reconfiguration Using Generalized
    Token Jumping.” <i>19th International Conference and Workshops on Algorithms and
    Computation</i>, vol. 15411, Springer Nature, 2025, pp. 244–65, doi:<a href="https://doi.org/10.1007/978-981-96-2845-2_16">10.1007/978-981-96-2845-2_16</a>.
  short: J.M. Křišťan, J. Svoboda, in:, 19th International Conference and Workshops
    on Algorithms and Computation, Springer Nature, 2025, pp. 244–265.
conference:
  end_date: 2025-03-02
  location: Chengdu, China
  name: 'WALCOM: International Conference and Workshops on Algorithms and Computation'
  start_date: 2025-02-28
date_created: 2025-03-23T23:01:27Z
date_published: 2025-02-20T00:00:00Z
date_updated: 2025-09-30T11:14:33Z
day: '20'
department:
- _id: KrCh
doi: 10.1007/978-981-96-2845-2_16
ec_funded: 1
external_id:
  arxiv:
  - '2411.12582'
  isi:
  - '001537885900016'
intvolume: '     15411'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2411.12582
month: '02'
oa: 1
oa_version: Preprint
page: 244-265
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
  call_identifier: H2020
  grant_number: '863818'
  name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: 19th International Conference and Workshops on Algorithms and Computation
publication_identifier:
  eissn:
  - 1611-3349
  isbn:
  - '9789819628445'
  issn:
  - 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Reconfiguration using generalized token jumping
type: conference
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 15411
year: '2025'
...
---
OA_type: closed access
_id: '19465'
article_number: '415'
article_processing_charge: No
article_type: letter_note
author:
- first_name: Carrie A
  full_name: Bernecky, Carrie A
  id: 2CB9DFE2-F248-11E8-B48F-1D18A9856A87
  last_name: Bernecky
  orcid: 0000-0003-0893-7036
citation:
  ama: Bernecky C. Understanding the machinery that reads the genome. <i>Nature Reviews
    Molecular Cell Biology</i>. 2025;26. doi:<a href="https://doi.org/10.1038/s41580-025-00844-1">10.1038/s41580-025-00844-1</a>
  apa: Bernecky, C. (2025). Understanding the machinery that reads the genome. <i>Nature
    Reviews Molecular Cell Biology</i>. Springer Nature. <a href="https://doi.org/10.1038/s41580-025-00844-1">https://doi.org/10.1038/s41580-025-00844-1</a>
  chicago: Bernecky, Carrie. “Understanding the Machinery That Reads the Genome.”
    <i>Nature Reviews Molecular Cell Biology</i>. Springer Nature, 2025. <a href="https://doi.org/10.1038/s41580-025-00844-1">https://doi.org/10.1038/s41580-025-00844-1</a>.
  ieee: C. Bernecky, “Understanding the machinery that reads the genome,” <i>Nature
    Reviews Molecular Cell Biology</i>, vol. 26. Springer Nature, 2025.
  ista: Bernecky C. 2025. Understanding the machinery that reads the genome. Nature
    Reviews Molecular Cell Biology. 26, 415.
  mla: Bernecky, Carrie. “Understanding the Machinery That Reads the Genome.” <i>Nature
    Reviews Molecular Cell Biology</i>, vol. 26, 415, Springer Nature, 2025, doi:<a
    href="https://doi.org/10.1038/s41580-025-00844-1">10.1038/s41580-025-00844-1</a>.
  short: C. Bernecky, Nature Reviews Molecular Cell Biology 26 (2025).
corr_author: '1'
date_created: 2025-03-31T10:07:22Z
date_published: 2025-06-01T00:00:00Z
date_updated: 2025-09-30T11:20:36Z
day: '01'
department:
- _id: CaBe
doi: 10.1038/s41580-025-00844-1
external_id:
  isi:
  - '001455740100001'
  pmid:
  - '40155512'
intvolume: '        26'
isi: 1
language:
- iso: eng
month: '06'
oa_version: None
pmid: 1
publication: Nature Reviews Molecular Cell Biology
publication_identifier:
  eissn:
  - 1471-0080
  issn:
  - 1471-0072
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Understanding the machinery that reads the genome
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 26
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '19483'
abstract:
- lang: eng
  text: We prove matching upper and lower bounds for the average of the6-torsionof
    class groups of quadratic fields. Furthermore, we count the number of integer
    solutions on an affine quartic threefold.
article_number: '18'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Yik Tung
  full_name: Chan, Yik Tung
  id: c4c0afc8-9262-11ed-9231-d8b0bc743af1
  last_name: Chan
  orcid: 0000-0001-8467-4106
- first_name: Peter
  full_name: Koymans, Peter
  last_name: Koymans
- first_name: Carlo
  full_name: Pagano, Carlo
  last_name: Pagano
- first_name: Efthymios
  full_name: Sofos, Efthymios
  last_name: Sofos
citation:
  ama: Chan S, Koymans P, Pagano C, Sofos E. 6-torision and integral points on quartic
    threefolds. <i>Annali della Scuola Normale Superiore di Pisa, Classe di Scienze</i>.
    2025. doi:<a href="https://doi.org/10.2422/2036-2145.202412_006">10.2422/2036-2145.202412_006</a>
  apa: Chan, S., Koymans, P., Pagano, C., &#38; Sofos, E. (2025). 6-torision and integral
    points on quartic threefolds. <i>Annali Della Scuola Normale Superiore Di Pisa,
    Classe Di Scienze</i>. Scuola Normale Superiore - Edizioni della Normale. <a href="https://doi.org/10.2422/2036-2145.202412_006">https://doi.org/10.2422/2036-2145.202412_006</a>
  chicago: Chan, Stephanie, Peter Koymans, Carlo Pagano, and Efthymios Sofos. “6-Torision
    and Integral Points on Quartic Threefolds.” <i>Annali Della Scuola Normale Superiore
    Di Pisa, Classe Di Scienze</i>. Scuola Normale Superiore - Edizioni della Normale,
    2025. <a href="https://doi.org/10.2422/2036-2145.202412_006">https://doi.org/10.2422/2036-2145.202412_006</a>.
  ieee: S. Chan, P. Koymans, C. Pagano, and E. Sofos, “6-torision and integral points
    on quartic threefolds,” <i>Annali della Scuola Normale Superiore di Pisa, Classe
    di Scienze</i>. Scuola Normale Superiore - Edizioni della Normale, 2025.
  ista: Chan S, Koymans P, Pagano C, Sofos E. 2025. 6-torision and integral points
    on quartic threefolds. Annali della Scuola Normale Superiore di Pisa, Classe di
    Scienze., 18.
  mla: Chan, Stephanie, et al. “6-Torision and Integral Points on Quartic Threefolds.”
    <i>Annali Della Scuola Normale Superiore Di Pisa, Classe Di Scienze</i>, 18, Scuola
    Normale Superiore - Edizioni della Normale, 2025, doi:<a href="https://doi.org/10.2422/2036-2145.202412_006">10.2422/2036-2145.202412_006</a>.
  short: S. Chan, P. Koymans, C. Pagano, E. Sofos, Annali Della Scuola Normale Superiore
    Di Pisa, Classe Di Scienze (2025).
corr_author: '1'
date_created: 2025-04-05T10:49:27Z
date_published: 2025-03-07T00:00:00Z
date_updated: 2025-05-14T11:40:24Z
day: '07'
department:
- _id: TiBr
doi: 10.2422/2036-2145.202412_006
external_id:
  arxiv:
  - '2403.13359'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: ' https://doi.org/10.48550/arXiv.2403.13359'
month: '03'
oa: 1
oa_version: Preprint
publication: Annali della Scuola Normale Superiore di Pisa, Classe di Scienze
publication_identifier:
  eissn:
  - 2036-2145
  issn:
  - 0391-173X
publication_status: epub_ahead
publisher: Scuola Normale Superiore - Edizioni della Normale
status: public
title: 6-torision and integral points on quartic threefolds
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '19495'
abstract:
- lang: eng
  text: Machine learning interatomic potentials (MLIPs) often neglect long-range interactions,
    such as electrostatic and dispersion forces. In this work, we introduce a straightforward
    and efficient method to account for long-range interactions by learning a hidden
    variable from local atomic descriptors and applying an Ewald summation to this
    variable. We demonstrate that in systems including charged and polar molecular
    dimers, bulk water, and water-vapor interface, standard short-ranged MLIPs can
    lead to unphysical predictions even when employing message passing. The long-range
    models effectively eliminate these artifacts, with only about twice the computational
    cost of short-range MLIPs.
acknowledgement: B. C. thanks David Limmer for providing the water slab dataset, and
  Carolin Faller for the NaCl dataset.
article_number: '80'
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Bingqing
  full_name: Cheng, Bingqing
  id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
  last_name: Cheng
  orcid: 0000-0002-3584-9632
citation:
  ama: Cheng B. Latent Ewald summation for machine learning of long-range interactions.
    <i>npj Computational Materials</i>. 2025;11. doi:<a href="https://doi.org/10.1038/s41524-025-01577-7">10.1038/s41524-025-01577-7</a>
  apa: Cheng, B. (2025). Latent Ewald summation for machine learning of long-range
    interactions. <i>Npj Computational Materials</i>. Springer Nature. <a href="https://doi.org/10.1038/s41524-025-01577-7">https://doi.org/10.1038/s41524-025-01577-7</a>
  chicago: Cheng, Bingqing. “Latent Ewald Summation for Machine Learning of Long-Range
    Interactions.” <i>Npj Computational Materials</i>. Springer Nature, 2025. <a href="https://doi.org/10.1038/s41524-025-01577-7">https://doi.org/10.1038/s41524-025-01577-7</a>.
  ieee: B. Cheng, “Latent Ewald summation for machine learning of long-range interactions,”
    <i>npj Computational Materials</i>, vol. 11. Springer Nature, 2025.
  ista: Cheng B. 2025. Latent Ewald summation for machine learning of long-range interactions.
    npj Computational Materials. 11, 80.
  mla: Cheng, Bingqing. “Latent Ewald Summation for Machine Learning of Long-Range
    Interactions.” <i>Npj Computational Materials</i>, vol. 11, 80, Springer Nature,
    2025, doi:<a href="https://doi.org/10.1038/s41524-025-01577-7">10.1038/s41524-025-01577-7</a>.
  short: B. Cheng, Npj Computational Materials 11 (2025).
corr_author: '1'
date_created: 2025-04-06T22:01:32Z
date_published: 2025-03-26T00:00:00Z
date_updated: 2025-09-30T11:31:47Z
day: '26'
ddc:
- '000'
department:
- _id: BiCh
doi: 10.1038/s41524-025-01577-7
external_id:
  arxiv:
  - '2408.15165'
  isi:
  - '001453622900002'
file:
- access_level: open_access
  checksum: cc99b7407a12139d9b2d8457961935ae
  content_type: application/pdf
  creator: dernst
  date_created: 2025-04-08T09:34:58Z
  date_updated: 2025-04-08T09:34:58Z
  file_id: '19528'
  file_name: 2025_npjCompMaterials_Cheng.pdf
  file_size: 1608315
  relation: main_file
  success: 1
file_date_updated: 2025-04-08T09:34:58Z
has_accepted_license: '1'
intvolume: '        11'
isi: 1
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
publication: npj Computational Materials
publication_identifier:
  eissn:
  - 2057-3960
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Latent Ewald summation for machine learning of long-range interactions
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 11
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '19496'
abstract:
- lang: eng
  text: We introduce the notions of scale for sets and measures on metric space by
    generalizing the usual notions of dimension. Several versions of scales are introduced
    such as Hausdorff, packing, box, local and quantization. They are defined for
    different growth, allowing a refined study of infinite dimensional spaces. We
    prove general theorems comparing the different versions of scales. They are applied
    to describe geometries of ergodic decompositions, of the Wiener measure and from
    functional spaces. The first application solves a problem of Berger on the notions
    of emergence (2020); the second lies in the geometry of the Wiener measure and
    extends the work of Dereich–Lifshits (2005); the last refines Kolmogorov–Tikhomirov
    (1958) study on finitely differentiable functions.
article_number: '15'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Mathieu
  full_name: Helfter, Mathieu
  id: 7d296fbe-e2c6-11ee-84d3-d5c2945f9a57
  last_name: Helfter
citation:
  ama: Helfter M. Scales. <i>Mathematische Zeitschrift</i>. 2025;310. doi:<a href="https://doi.org/10.1007/s00209-025-03719-5">10.1007/s00209-025-03719-5</a>
  apa: Helfter, M. (2025). Scales. <i>Mathematische Zeitschrift</i>. Springer Nature.
    <a href="https://doi.org/10.1007/s00209-025-03719-5">https://doi.org/10.1007/s00209-025-03719-5</a>
  chicago: Helfter, Mathieu. “Scales.” <i>Mathematische Zeitschrift</i>. Springer
    Nature, 2025. <a href="https://doi.org/10.1007/s00209-025-03719-5">https://doi.org/10.1007/s00209-025-03719-5</a>.
  ieee: M. Helfter, “Scales,” <i>Mathematische Zeitschrift</i>, vol. 310. Springer
    Nature, 2025.
  ista: Helfter M. 2025. Scales. Mathematische Zeitschrift. 310, 15.
  mla: Helfter, Mathieu. “Scales.” <i>Mathematische Zeitschrift</i>, vol. 310, 15,
    Springer Nature, 2025, doi:<a href="https://doi.org/10.1007/s00209-025-03719-5">10.1007/s00209-025-03719-5</a>.
  short: M. Helfter, Mathematische Zeitschrift 310 (2025).
corr_author: '1'
date_created: 2025-04-06T22:01:32Z
date_published: 2025-05-01T00:00:00Z
date_updated: 2025-09-30T11:31:00Z
day: '01'
department:
- _id: VaKa
doi: 10.1007/s00209-025-03719-5
external_id:
  arxiv:
  - '2206.05231'
  isi:
  - '001450830300001'
intvolume: '       310'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2206.05231
month: '05'
oa: 1
oa_version: Preprint
publication: Mathematische Zeitschrift
publication_identifier:
  eissn:
  - 1432-1823
  issn:
  - 0025-5874
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Scales
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 310
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '19497'
abstract:
- lang: eng
  text: The stochastic gravitational wave (GW) background recently discovered by several
    pulsar timing array experiments is consistent with arising from a population of
    coalescing super-massive black hole binaries. The amplitude of the background
    is somewhat higher than expected in most previous population models or from the
    local mass density observations. Such binaries are expected to be produced in
    galaxy mergers, which are also thought to trigger bright quasar activity. Under
    the assumptions that (i) a fraction fbin∼1 of all quasars are associated with
    mergers, (ii) the typical quasar lifetime is tQ∼108 yr, and (iii) adopting Eddington
    ratios fEdd∼0.25 for the luminosity of quasars, we compute the GW background associated
    directly with the empirically measured quasar luminosity function. This approach
    bypasses the need to model the cosmological evolution of black holes or galaxy
    mergers from simulations or semi-analytical models. We find the amplitude matching
    the value measured by NANOGrav. Our results are consistent with most quasars being
    associated with black hole binaries and being the sources of the GW background,
    and imply a joint constraint on tQ, fEdd and the typical mass ratio q≡M2/M1. The
    signal in this case would be dominated by relatively distant ∼109M⊙ sources at
    z≈2−3, at the peak of quasar activity. Similarly to other models, our results
    remain in tension with the local super-massive black hole mass density.
acknowledgement: We thank Chengcheng Xin and Girish Kulkarni for useful discussions.
  ZH gratefully acknowledges the hospitality of Eötvös University during an extended
  sabbatical visit, where this work began. ZH acknowledges support from NSF Grant
  AST-2006176 and NASA Grants 80NSSC22K0822 and 80NSSC24K0440. ZF acknowledges support
  from the Hungarian National Research, Development and Innovation Office (NKFIH)
  through the Institutional Excellence Program No. TKP2021-NKTA-64.
article_number: '075007'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Ágnes
  full_name: Kis-Tóth, Ágnes
  last_name: Kis-Tóth
- first_name: Zoltán
  full_name: Haiman, Zoltán
  id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36
  last_name: Haiman
  orcid: 0000-0003-3633-5403
- first_name: Zsolt
  full_name: Frei, Zsolt
  last_name: Frei
citation:
  ama: Kis-Tóth Á, Haiman Z, Frei Z. Can quasars, triggered by mergers, account for
    NANOGrav’s stochastic gravitational wave background? <i>Classical and Quantum
    Gravity</i>. 2025;42(7). doi:<a href="https://doi.org/10.1088/1361-6382/adbda6">10.1088/1361-6382/adbda6</a>
  apa: Kis-Tóth, Á., Haiman, Z., &#38; Frei, Z. (2025). Can quasars, triggered by
    mergers, account for NANOGrav’s stochastic gravitational wave background? <i>Classical
    and Quantum Gravity</i>. IOP Publishing. <a href="https://doi.org/10.1088/1361-6382/adbda6">https://doi.org/10.1088/1361-6382/adbda6</a>
  chicago: Kis-Tóth, Ágnes, Zoltán Haiman, and Zsolt Frei. “Can Quasars, Triggered
    by Mergers, Account for NANOGrav’s Stochastic Gravitational Wave Background?”
    <i>Classical and Quantum Gravity</i>. IOP Publishing, 2025. <a href="https://doi.org/10.1088/1361-6382/adbda6">https://doi.org/10.1088/1361-6382/adbda6</a>.
  ieee: Á. Kis-Tóth, Z. Haiman, and Z. Frei, “Can quasars, triggered by mergers, account
    for NANOGrav’s stochastic gravitational wave background?,” <i>Classical and Quantum
    Gravity</i>, vol. 42, no. 7. IOP Publishing, 2025.
  ista: Kis-Tóth Á, Haiman Z, Frei Z. 2025. Can quasars, triggered by mergers, account
    for NANOGrav’s stochastic gravitational wave background? Classical and Quantum
    Gravity. 42(7), 075007.
  mla: Kis-Tóth, Ágnes, et al. “Can Quasars, Triggered by Mergers, Account for NANOGrav’s
    Stochastic Gravitational Wave Background?” <i>Classical and Quantum Gravity</i>,
    vol. 42, no. 7, 075007, IOP Publishing, 2025, doi:<a href="https://doi.org/10.1088/1361-6382/adbda6">10.1088/1361-6382/adbda6</a>.
  short: Á. Kis-Tóth, Z. Haiman, Z. Frei, Classical and Quantum Gravity 42 (2025).
date_created: 2025-04-06T22:01:32Z
date_published: 2025-04-04T00:00:00Z
date_updated: 2025-09-30T11:30:11Z
day: '04'
department:
- _id: ZoHa
doi: 10.1088/1361-6382/adbda6
external_id:
  arxiv:
  - '2412.12726'
  isi:
  - '001448904700001'
intvolume: '        42'
isi: 1
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2412.12726
month: '04'
oa: 1
oa_version: Preprint
publication: Classical and Quantum Gravity
publication_identifier:
  eissn:
  - 1361-6382
  issn:
  - 0264-9381
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Can quasars, triggered by mergers, account for NANOGrav’s stochastic gravitational
  wave background?
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 42
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '19500'
abstract:
- lang: eng
  text: We consider the Brown measure of the free circular Brownian motion,  a+t√x
    , with an arbitrary initial condition  a , i.e.  a  is a general non-normal operator
    and  x  is a circular element  ∗ -free from  a . We prove that, under a mild assumption
    on  a , the density of the Brown measure has one of the following two types of
    behavior around each point on the boundary of its support -- either (i) sharp
    cut, i.e. a jump discontinuity along the boundary, or (ii) quadratic decay at
    certain critical points on the boundary. Our result is in direct analogy with
    the previously known phenomenon for the spectral density of free semicircular
    Brownian motion, whose singularities are either a square-root edge or a cubic
    cusp. We also provide several examples and counterexamples, one of which shows
    that our assumption on  a  is necessary.
acknowledgement: We thank Ping Zhong for pointing out references [15,19] and providing
  helpful comments. We also thank the anonymous referee for many valuable comments
  and proposals to streamline the presentation. This work was partially supported
  by ERC Advanced Grant “RMTBeyond” No. 10102033.
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: László
  full_name: Erdös, László
  id: 4DBD5372-F248-11E8-B48F-1D18A9856A87
  last_name: Erdös
  orcid: 0000-0001-5366-9603
- first_name: Hong Chang
  full_name: Ji, Hong Chang
  last_name: Ji
citation:
  ama: Erdös L, Ji HC. Density of Brown measure of free circular Brownian motion.
    <i>Documenta Mathematica</i>. 2025;30(2):417-453. doi:<a href="https://doi.org/10.4171/DM/999">10.4171/DM/999</a>
  apa: Erdös, L., &#38; Ji, H. C. (2025). Density of Brown measure of free circular
    Brownian motion. <i>Documenta Mathematica</i>. EMS Press. <a href="https://doi.org/10.4171/DM/999">https://doi.org/10.4171/DM/999</a>
  chicago: Erdös, László, and Hong Chang Ji. “Density of Brown Measure of Free Circular
    Brownian Motion.” <i>Documenta Mathematica</i>. EMS Press, 2025. <a href="https://doi.org/10.4171/DM/999">https://doi.org/10.4171/DM/999</a>.
  ieee: L. Erdös and H. C. Ji, “Density of Brown measure of free circular Brownian
    motion,” <i>Documenta Mathematica</i>, vol. 30, no. 2. EMS Press, pp. 417–453,
    2025.
  ista: Erdös L, Ji HC. 2025. Density of Brown measure of free circular Brownian motion.
    Documenta Mathematica. 30(2), 417–453.
  mla: Erdös, László, and Hong Chang Ji. “Density of Brown Measure of Free Circular
    Brownian Motion.” <i>Documenta Mathematica</i>, vol. 30, no. 2, EMS Press, 2025,
    pp. 417–53, doi:<a href="https://doi.org/10.4171/DM/999">10.4171/DM/999</a>.
  short: L. Erdös, H.C. Ji, Documenta Mathematica 30 (2025) 417–453.
corr_author: '1'
date_created: 2025-04-06T22:01:32Z
date_published: 2025-03-20T00:00:00Z
date_updated: 2025-09-30T11:28:02Z
day: '20'
ddc:
- '510'
department:
- _id: LaEr
doi: 10.4171/DM/999
ec_funded: 1
external_id:
  arxiv:
  - '2307.08626'
  isi:
  - '001450119900005'
file:
- access_level: open_access
  checksum: 97a02d18c05f2b9f2048747b140e7d43
  content_type: application/pdf
  creator: dernst
  date_created: 2025-04-07T11:21:13Z
  date_updated: 2025-04-07T11:21:13Z
  file_id: '19523'
  file_name: 2025_DocumentaMathematica_Erdoes.pdf
  file_size: 1366865
  relation: main_file
  success: 1
file_date_updated: 2025-04-07T11:21:13Z
has_accepted_license: '1'
intvolume: '        30'
isi: 1
issue: '2'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 417-453
project:
- _id: 62796744-2b32-11ec-9570-940b20777f1d
  call_identifier: H2020
  grant_number: '101020331'
  name: Random matrices beyond Wigner-Dyson-Mehta
publication: Documenta Mathematica
publication_identifier:
  eissn:
  - 1431-0643
  issn:
  - 1431-0635
publication_status: published
publisher: EMS Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Density of Brown measure of free circular Brownian motion
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 30
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '19502'
abstract:
- lang: eng
  text: Alkali dimers, Ak2, located on the surface of a helium nanodroplet, are set
    into rotation through the polarizability interaction with a nonresonant 1-ps-long
    laser pulse. The time-dependent degree of alignment is recorded using femtosecond-probe-pulse-induced
    Coulomb explosion into a pair of Ak+ fragment ions. The results, obtained for
    Na2, K2, and Rb2 in both the ground state 11Σ+g and the lowest-lying triplet state
    13Σ+u, exhibit distinct, periodic revivals with a gradually decreasing amplitude.
    The dynamics differ from that expected for dimers had they behaved as free rotors.
    Numerically, we solve the time-dependent rotational Schrödinger equation, including
    an effective mean-field potential to describe the interaction between the dimer
    and the droplet. The experimental and simulated alignment dynamics agree well
    and their comparison enables us to determine the effective rotational constants
    of the alkali dimers with the exception of Rb2(13Σ+u) that only exhibits a prompt
    alignment peak but no subsequent revivals. For Na2(13Σ+u), K2(11Σ+g), K2(13Σ+u)
    and Rb2(11Σ+g), the alignment dynamics are well-described by a 2D rotor model.
    We ascribe this to a significant confinement of the internuclear axis of these
    dimers, induced by the orientation-dependent droplet-dimer interaction, to the
    tangential plane of their residence point on the droplet.
acknowledgement: H.S. acknowledges support from the Villum Foundation through a Villum
  Investigator Grant No. 25886. We thank Jan Thøgersen for expert help with the optics
  and the laser system.
article_number: '033114'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Henrik H.
  full_name: Kristensen, Henrik H.
  last_name: Kristensen
- first_name: Lorenz
  full_name: Kranabetter, Lorenz
  last_name: Kranabetter
- first_name: Areg
  full_name: Ghazaryan, Areg
  id: 4AF46FD6-F248-11E8-B48F-1D18A9856A87
  last_name: Ghazaryan
  orcid: 0000-0001-9666-3543
- first_name: Constant A.
  full_name: Schouder, Constant A.
  last_name: Schouder
- first_name: Emil
  full_name: Hansen, Emil
  last_name: Hansen
- first_name: Frank
  full_name: Jensen, Frank
  last_name: Jensen
- first_name: Robert E.
  full_name: Zillich, Robert E.
  last_name: Zillich
- first_name: Mikhail
  full_name: Lemeshko, Mikhail
  id: 37CB05FA-F248-11E8-B48F-1D18A9856A87
  last_name: Lemeshko
  orcid: 0000-0002-6990-7802
- first_name: Henrik
  full_name: Stapelfeldt, Henrik
  last_name: Stapelfeldt
citation:
  ama: Kristensen HH, Kranabetter L, Ghazaryan A, et al. Nonadiabatic laser-induced
    alignment dynamics of alkali-metal dimers on the surface of a helium droplet.
    <i>Physical Review A</i>. 2025;111(3). doi:<a href="https://doi.org/10.1103/PhysRevA.111.033114">10.1103/PhysRevA.111.033114</a>
  apa: Kristensen, H. H., Kranabetter, L., Ghazaryan, A., Schouder, C. A., Hansen,
    E., Jensen, F., … Stapelfeldt, H. (2025). Nonadiabatic laser-induced alignment
    dynamics of alkali-metal dimers on the surface of a helium droplet. <i>Physical
    Review A</i>. American Physical Society. <a href="https://doi.org/10.1103/PhysRevA.111.033114">https://doi.org/10.1103/PhysRevA.111.033114</a>
  chicago: Kristensen, Henrik H., Lorenz Kranabetter, Areg Ghazaryan, Constant A.
    Schouder, Emil Hansen, Frank Jensen, Robert E. Zillich, Mikhail Lemeshko, and
    Henrik Stapelfeldt. “Nonadiabatic Laser-Induced Alignment Dynamics of Alkali-Metal
    Dimers on the Surface of a Helium Droplet.” <i>Physical Review A</i>. American
    Physical Society, 2025. <a href="https://doi.org/10.1103/PhysRevA.111.033114">https://doi.org/10.1103/PhysRevA.111.033114</a>.
  ieee: H. H. Kristensen <i>et al.</i>, “Nonadiabatic laser-induced alignment dynamics
    of alkali-metal dimers on the surface of a helium droplet,” <i>Physical Review
    A</i>, vol. 111, no. 3. American Physical Society, 2025.
  ista: Kristensen HH, Kranabetter L, Ghazaryan A, Schouder CA, Hansen E, Jensen F,
    Zillich RE, Lemeshko M, Stapelfeldt H. 2025. Nonadiabatic laser-induced alignment
    dynamics of alkali-metal dimers on the surface of a helium droplet. Physical Review
    A. 111(3), 033114.
  mla: Kristensen, Henrik H., et al. “Nonadiabatic Laser-Induced Alignment Dynamics
    of Alkali-Metal Dimers on the Surface of a Helium Droplet.” <i>Physical Review
    A</i>, vol. 111, no. 3, 033114, American Physical Society, 2025, doi:<a href="https://doi.org/10.1103/PhysRevA.111.033114">10.1103/PhysRevA.111.033114</a>.
  short: H.H. Kristensen, L. Kranabetter, A. Ghazaryan, C.A. Schouder, E. Hansen,
    F. Jensen, R.E. Zillich, M. Lemeshko, H. Stapelfeldt, Physical Review A 111 (2025).
date_created: 2025-04-06T22:01:32Z
date_published: 2025-03-21T00:00:00Z
date_updated: 2025-09-30T11:27:25Z
day: '21'
department:
- _id: MiLe
doi: 10.1103/PhysRevA.111.033114
external_id:
  arxiv:
  - '2502.14521'
  isi:
  - '001459727400007'
intvolume: '       111'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2502.14521
month: '03'
oa: 1
oa_version: Preprint
publication: Physical Review A
publication_identifier:
  eissn:
  - 2469-9934
  issn:
  - 2469-9926
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Nonadiabatic laser-induced alignment dynamics of alkali-metal dimers on the
  surface of a helium droplet
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 111
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '19503'
abstract:
- lang: eng
  text: "A tantalizing open problem, posed independently by Stiebitz in 1995 and by
    Alon in 1996 and again in 2006, asks whether for every pair of integers  s,t≥1
    there exists a finite number  F(s,t)\r\nsuch that the vertex set of every digraph
    of minimum out-degree at least  F(s,t) can be partitioned into non-empty parts
    \ A  and  B  such that the subdigraphs induced on  A\r\n  and  B  have minimum
    out-degree at least  s  and  t , respectively.\r\nIn this short note, we prove
    that if  F(2,2)  exists, then all the numbers  F(s,t)  with  s,t≥1\r\n  exist
    and satisfy  F(s,t)=Θ(s+t) . In consequence, the problem of Alon and Stiebitz
    reduces to the case  s=t=2 . Moreover, the numbers  F(s,t)  with  s,t≥2  either
    all exist and grow linearly, or all of them do not exist."
acknowledgement: Funded by SNSF Ambizione grant No. 216071. This project has received
  funding from the European Union’s Horizon 2020 research and innovation programme
  under the Marie Skłodowska-Curie grant agreement No, 101034413. Funded by SNSF grant
  CRSII5, 173721.
article_processing_charge: Yes (in subscription journal)
article_type: original
arxiv: 1
author:
- first_name: Micha
  full_name: Christoph, Micha
  last_name: Christoph
- first_name: Kalina H
  full_name: Petrova, Kalina H
  id: 554ff4e4-f325-11ee-b0c4-a10dbd523381
  last_name: Petrova
- first_name: Raphael
  full_name: Steiner, Raphael
  last_name: Steiner
citation:
  ama: Christoph M, Petrova KH, Steiner R. A note on digraph splitting. <i>Combinatorics
    Probability and Computing</i>. 2025;34(4):559-564. doi:<a href="https://doi.org/10.1017/S0963548325000045">10.1017/S0963548325000045</a>
  apa: Christoph, M., Petrova, K. H., &#38; Steiner, R. (2025). A note on digraph
    splitting. <i>Combinatorics Probability and Computing</i>. Cambridge University
    Press. <a href="https://doi.org/10.1017/S0963548325000045">https://doi.org/10.1017/S0963548325000045</a>
  chicago: Christoph, Micha, Kalina H Petrova, and Raphael Steiner. “A Note on Digraph
    Splitting.” <i>Combinatorics Probability and Computing</i>. Cambridge University
    Press, 2025. <a href="https://doi.org/10.1017/S0963548325000045">https://doi.org/10.1017/S0963548325000045</a>.
  ieee: M. Christoph, K. H. Petrova, and R. Steiner, “A note on digraph splitting,”
    <i>Combinatorics Probability and Computing</i>, vol. 34, no. 4. Cambridge University
    Press, pp. 559–564, 2025.
  ista: Christoph M, Petrova KH, Steiner R. 2025. A note on digraph splitting. Combinatorics
    Probability and Computing. 34(4), 559–564.
  mla: Christoph, Micha, et al. “A Note on Digraph Splitting.” <i>Combinatorics Probability
    and Computing</i>, vol. 34, no. 4, Cambridge University Press, 2025, pp. 559–64,
    doi:<a href="https://doi.org/10.1017/S0963548325000045">10.1017/S0963548325000045</a>.
  short: M. Christoph, K.H. Petrova, R. Steiner, Combinatorics Probability and Computing
    34 (2025) 559–564.
date_created: 2025-04-06T22:01:32Z
date_published: 2025-07-01T00:00:00Z
date_updated: 2025-09-30T11:26:00Z
day: '01'
ddc:
- '510'
department:
- _id: MaKw
doi: 10.1017/S0963548325000045
ec_funded: 1
external_id:
  arxiv:
  - '2310.08449'
  isi:
  - '001449245700001'
file:
- access_level: open_access
  checksum: 98491e59b4f0d05d69f608bbd5706f1a
  content_type: application/pdf
  creator: dernst
  date_created: 2025-08-05T12:54:06Z
  date_updated: 2025-08-05T12:54:06Z
  file_id: '20135'
  file_name: 2025_CombProbComputing_Christoph.pdf
  file_size: 188818
  relation: main_file
  success: 1
file_date_updated: 2025-08-05T12:54:06Z
has_accepted_license: '1'
intvolume: '        34'
isi: 1
issue: '4'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 559-564
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: Combinatorics Probability and Computing
publication_identifier:
  eissn:
  - 1469-2163
  issn:
  - 0963-5483
publication_status: published
publisher: Cambridge University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: A note on digraph splitting
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 34
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '19504'
abstract:
- lang: eng
  text: Observational studies have shown that galaxy disks were already in place in
    the first few billion years of the Universe. The early disks detected so far,
    with typical half-light radii of 3 kpc at stellar masses around 1011 M⊙ for redshift
    z ≈ 3, are significantly smaller than today’s disks with similar masses, which
    is in agreement with expectations from current galaxy models. Here we report observations
    of a giant disk at z = 3.25, when the Universe was only two billion years old,
    with a half-light radius of 9.6 kpc and stellar mass of (math formular). This
    galaxy is larger than any other kinematically confirmed disks at similar epochs
    and is surprisingly similar to today’s largest disks with regard to size and mass.
    James Webb Space Telescope imaging and spectroscopy reveal its spiral morphology
    and a rotational velocity consistent with a local Tully–Fisher relationship. Multiwavelength
    observations show that it lies in an exceptionally dense environment, where the
    galaxy number density is more than ten times higher than the cosmic average and
    mergers are frequent. The discovery of such a giant disk suggests the presence
    of favourable physical conditions for large-disk formation in dense environments
    in the early Universe, which may include efficient accretion of gas carrying coherent
    angular momentum and non-destructive mergers between exceptionally gas-rich progenitor
    galaxies.
acknowledgement: We thank B. Wang, P. Madau, M. Dotti, A. de la Vega, Y. Guo, C. Bacchini,
  Z. Cai, C. Conselice, A. Dekel, S. Faber, F. Fraternali, L. Ho, F. Jiang, S. Kassin,
  D. Koo, N. Mandelker, S. Mao and D. Xu for the valuable and insightful discussions
  regarding the research topics relevant to this paper. This project was supported
  by the European Research Council (ERC) Consolidator Grant no. 864361 (CosmicWeb).
  A.P. acknowledges the support from Fondazione Cariplo grant no. 2020-0902. M.V.M.
  acknowledges funding from NASA by means of HST-GO-17065. T.N. acknowledges support
  from Australian Research Council Laureate Fellowship FL180100060. This work is based
  in part on observations made with the NASA/ESA/CSA James Webb Space Telescope. The
  data were obtained from the Mikulski Archive for Space Telescopes at the Space Telescope
  Science Institute, which is operated by the Association of Universities for Research
  in Astronomy, Inc., under NASA contract NAS 5-03127 for JWST. These observations
  are associated with programme no. 1835. Support for programme no. 1835 was provided
  by NASA through a grant from the Space Telescope Science Institute, which is operated
  by the Association of Universities for Research in Astronomy, Inc., under NASA contract
  NAS 5-03127. This research is based on observations made with the NASA/ESA Hubble
  Space Telescope obtained from the Space Telescope Science Institute, which is operated
  by the Association of Universities for Research in Astronomy, Inc., under NASA contract
  NAS 5-26555. These observations are associated with programme 17065. ALMA is a partnership
  of ESO (representing its member states), NSF (USA) and NINS (Japan), together with
  NRC (Canada), MOST and ASIAA (Taiwan), and KASI (Republic of Korea), in cooperation
  with the Republic of Chile. The Joint ALMA Observatory is operated by ESO, AUI/NRAO
  and NAOJ. The scientific results reported in this article are based in part on observations
  made by the Chandra X-ray Observatory. This work is also based on observations collected
  at the European Southern Observatory under ESO programme 110.23ZX.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Weichen
  full_name: Wang, Weichen
  last_name: Wang
- first_name: Sebastiano
  full_name: Cantalupo, Sebastiano
  last_name: Cantalupo
- first_name: Antonio
  full_name: Pensabene, Antonio
  last_name: Pensabene
- first_name: Marta
  full_name: Galbiati, Marta
  last_name: Galbiati
- first_name: Andrea
  full_name: Travascio, Andrea
  last_name: Travascio
- first_name: Charles C.
  full_name: Steidel, Charles C.
  last_name: Steidel
- first_name: Michael V.
  full_name: Maseda, Michael V.
  last_name: Maseda
- first_name: Gabriele
  full_name: Pezzulli, Gabriele
  last_name: Pezzulli
- first_name: Stephanie
  full_name: De Beer, Stephanie
  last_name: De Beer
- first_name: Matteo
  full_name: Fossati, Matteo
  last_name: Fossati
- first_name: Michele
  full_name: Fumagalli, Michele
  last_name: Fumagalli
- first_name: Sofia G.
  full_name: Gallego, Sofia G.
  last_name: Gallego
- first_name: Titouan
  full_name: Lazeyras, Titouan
  last_name: Lazeyras
- first_name: Ruari
  full_name: Mackenzie, Ruari
  last_name: Mackenzie
- first_name: Jorryt J
  full_name: Matthee, Jorryt J
  id: 7439a258-f3c0-11ec-9501-9df22fe06720
  last_name: Matthee
  orcid: 0000-0003-2871-127X
- first_name: Themiya
  full_name: Nanayakkara, Themiya
  last_name: Nanayakkara
- first_name: Giada
  full_name: Quadri, Giada
  last_name: Quadri
citation:
  ama: Wang W, Cantalupo S, Pensabene A, et al. A giant disk galaxy two billion years
    after the Big Bang. <i>Nature Astronomy</i>. 2025;9:710-719. doi:<a href="https://doi.org/10.1038/s41550-025-02500-2">10.1038/s41550-025-02500-2</a>
  apa: Wang, W., Cantalupo, S., Pensabene, A., Galbiati, M., Travascio, A., Steidel,
    C. C., … Quadri, G. (2025). A giant disk galaxy two billion years after the Big
    Bang. <i>Nature Astronomy</i>. Springer Nature. <a href="https://doi.org/10.1038/s41550-025-02500-2">https://doi.org/10.1038/s41550-025-02500-2</a>
  chicago: Wang, Weichen, Sebastiano Cantalupo, Antonio Pensabene, Marta Galbiati,
    Andrea Travascio, Charles C. Steidel, Michael V. Maseda, et al. “A Giant Disk
    Galaxy Two Billion Years after the Big Bang.” <i>Nature Astronomy</i>. Springer
    Nature, 2025. <a href="https://doi.org/10.1038/s41550-025-02500-2">https://doi.org/10.1038/s41550-025-02500-2</a>.
  ieee: W. Wang <i>et al.</i>, “A giant disk galaxy two billion years after the Big
    Bang,” <i>Nature Astronomy</i>, vol. 9. Springer Nature, pp. 710–719, 2025.
  ista: Wang W, Cantalupo S, Pensabene A, Galbiati M, Travascio A, Steidel CC, Maseda
    MV, Pezzulli G, De Beer S, Fossati M, Fumagalli M, Gallego SG, Lazeyras T, Mackenzie
    R, Matthee JJ, Nanayakkara T, Quadri G. 2025. A giant disk galaxy two billion
    years after the Big Bang. Nature Astronomy. 9, 710–719.
  mla: Wang, Weichen, et al. “A Giant Disk Galaxy Two Billion Years after the Big
    Bang.” <i>Nature Astronomy</i>, vol. 9, Springer Nature, 2025, pp. 710–19, doi:<a
    href="https://doi.org/10.1038/s41550-025-02500-2">10.1038/s41550-025-02500-2</a>.
  short: W. Wang, S. Cantalupo, A. Pensabene, M. Galbiati, A. Travascio, C.C. Steidel,
    M.V. Maseda, G. Pezzulli, S. De Beer, M. Fossati, M. Fumagalli, S.G. Gallego,
    T. Lazeyras, R. Mackenzie, J.J. Matthee, T. Nanayakkara, G. Quadri, Nature Astronomy
    9 (2025) 710–719.
date_created: 2025-04-06T22:01:32Z
date_published: 2025-03-17T00:00:00Z
date_updated: 2025-09-30T11:25:14Z
day: '17'
ddc:
- '520'
department:
- _id: JoMa
doi: 10.1038/s41550-025-02500-2
external_id:
  arxiv:
  - '2409.17956'
  isi:
  - '001447477100001'
  pmid:
  - '40417329'
file:
- access_level: open_access
  checksum: a0e65fe3374bd755b18ba03fd5e42a3f
  content_type: application/pdf
  creator: dernst
  date_created: 2025-08-05T12:49:36Z
  date_updated: 2025-08-05T12:49:36Z
  file_id: '20134'
  file_name: 2025_NatureAstronomy_Wang.pdf
  file_size: 4912850
  relation: main_file
  success: 1
file_date_updated: 2025-08-05T12:49:36Z
has_accepted_license: '1'
intvolume: '         9'
isi: 1
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 710-719
pmid: 1
publication: Nature Astronomy
publication_identifier:
  eissn:
  - 2397-3366
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: A giant disk galaxy two billion years after the Big Bang
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 9
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '19505'
abstract:
- lang: eng
  text: In this paper, we introduce and study the primitive equations with non-isothermal
    turbulent pressure and transport noise. They are derived from the Navier–Stokes
    equations by employing stochastic versions of the Boussinesq and the hydrostatic
    approximations. The temperature dependence of the turbulent pressure can be seen
    as a consequence of an additive noise acting on the small vertical dynamics. For
    such a model we prove global well-posedness in H^1 where the noise is considered
    in both the Itô and Stratonovich formulations. Compared to previous variants of
    the primitive equations, the one considered here presents a more intricate coupling
    between the velocity field and the temperature. The corresponding analysis is
    seriously more involved than in the deterministic setting. Finally, the continuous
    dependence on the initial data and the energy estimates proven here are new, even
    in the case of isothermal turbulent pressure.
acknowledgement: "The first author thanks Umberto Pappalettera for helpful suggestions
  on Section 2 and for bringing to his attention the reference [56]. The first author
  is grateful to Marco Romito for helpful comments related to Remarks 2.1 and 2.2.
  Finally, the first author thanks Caterina Balzotti for her support in creating the
  picture.\r\nAntonio Agresti has received funding from the European Research Council
  (ERC) under the European Union’s Horizon 2020 research and innovation programme
  (grant agreement No 948819). Antonio Agresti is a member of GNAMPA (INδAM).\r\nMatthias
  Hieber gratefully acknowledges the support by the Deutsche Forschungsgemeinschaft
  (DFG) through the Research Unit 5528—project number 500072446.\r\nAmru Hussein has
  been supported by Deutsche Forschungsgemeinschaft (DFG)—project\r\nnumber 508634462
  and by MathApp—Mathematics Applied to Real-World Problems—part\r\nof the Research
  Initiative of the Federal State of Rhineland-Palatinate, Germany.\r\nMartin Saal
  has been supported by Deutsche Forschungsgemeinschaft (DFG)—project\r\nnumber 429483464."
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Antonio
  full_name: Agresti, Antonio
  id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72
  last_name: Agresti
  orcid: 0000-0002-9573-2962
- first_name: Matthias
  full_name: Hieber, Matthias
  last_name: Hieber
- first_name: Amru
  full_name: Hussein, Amru
  last_name: Hussein
- first_name: Martin
  full_name: Saal, Martin
  last_name: Saal
citation:
  ama: Agresti A, Hieber M, Hussein A, Saal M. The stochastic primitive equations
    with nonisothermal turbulent pressure. <i>Annals of Applied Probability</i>. 2025;35(1):635-700.
    doi:<a href="https://doi.org/10.1214/24-AAP2124">10.1214/24-AAP2124</a>
  apa: Agresti, A., Hieber, M., Hussein, A., &#38; Saal, M. (2025). The stochastic
    primitive equations with nonisothermal turbulent pressure. <i>Annals of Applied
    Probability</i>. Institute of Mathematical Statistics. <a href="https://doi.org/10.1214/24-AAP2124">https://doi.org/10.1214/24-AAP2124</a>
  chicago: Agresti, Antonio, Matthias Hieber, Amru Hussein, and Martin Saal. “The
    Stochastic Primitive Equations with Nonisothermal Turbulent Pressure.” <i>Annals
    of Applied Probability</i>. Institute of Mathematical Statistics, 2025. <a href="https://doi.org/10.1214/24-AAP2124">https://doi.org/10.1214/24-AAP2124</a>.
  ieee: A. Agresti, M. Hieber, A. Hussein, and M. Saal, “The stochastic primitive
    equations with nonisothermal turbulent pressure,” <i>Annals of Applied Probability</i>,
    vol. 35, no. 1. Institute of Mathematical Statistics, pp. 635–700, 2025.
  ista: Agresti A, Hieber M, Hussein A, Saal M. 2025. The stochastic primitive equations
    with nonisothermal turbulent pressure. Annals of Applied Probability. 35(1), 635–700.
  mla: Agresti, Antonio, et al. “The Stochastic Primitive Equations with Nonisothermal
    Turbulent Pressure.” <i>Annals of Applied Probability</i>, vol. 35, no. 1, Institute
    of Mathematical Statistics, 2025, pp. 635–700, doi:<a href="https://doi.org/10.1214/24-AAP2124">10.1214/24-AAP2124</a>.
  short: A. Agresti, M. Hieber, A. Hussein, M. Saal, Annals of Applied Probability
    35 (2025) 635–700.
date_created: 2025-04-06T22:01:32Z
date_published: 2025-02-01T00:00:00Z
date_updated: 2025-09-30T11:23:58Z
day: '01'
department:
- _id: JuFi
doi: 10.1214/24-AAP2124
ec_funded: 1
external_id:
  arxiv:
  - '2210.05973'
  isi:
  - '001434322900016'
intvolume: '        35'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2210.05973
month: '02'
oa: 1
oa_version: Preprint
page: 635-700
project:
- _id: 0aa76401-070f-11eb-9043-b5bb049fa26d
  call_identifier: H2020
  grant_number: '948819'
  name: Bridging Scales in Random Materials
publication: Annals of Applied Probability
publication_identifier:
  issn:
  - 1050-5164
publication_status: published
publisher: Institute of Mathematical Statistics
quality_controlled: '1'
scopus_import: '1'
status: public
title: The stochastic primitive equations with nonisothermal turbulent pressure
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 35
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '19507'
abstract:
- lang: eng
  text: The epidermis provides a protective barrier against hostile environments.
    However, our knowledge of how this barrier forms during development and is subsequently
    maintained remains incomplete. The infundibulum is a cylindrical epidermal tissue
    compartment that serves as an outlet for hair follicles protruding from the skin
    and the excretion of the sebaceous glands that are essential for proper skin function.
    In this study, we applied quantitative fate mapping to address how infundibulum
    are maintained during adulthood. We demonstrate that progenitors build and maintain
    tissues through stochastic cell fate choices. Long-term analysis identified a
    preferential transient contribution from cells initially located at the bottom
    of the structure to the maintenance of the tissue, with bursts of local progenitor
    expansion associated with the phases of hair growth. Beyond providing compartment-wide
    insights into progenitor cell dynamics in infundibulum, these findings demonstrate
    how spatiotemporal regulation controls transient progenitor dominance.
acknowledgement: We thank the members of the Jensen Laboratory for experimental and
  technical advice, the imaging facilities at reNEW, and animal caretakers for expert
  assistance. This work was supported by the Lundbeck Foundation (R105-A9755 to KBJ)
  and the Leo Pharma Foundation (LF-OC-20-000169). The Novo Nordisk Foundation Center
  for Stem Cell Medicine was supported by a Novo Nordisk Foundation grant (NNF21CC0073729).
  B.D.S. was supported by the Wellcome Trust (219478/Z/19/Z) and a Royal Society EP
  Abraham Research Professorship (RP/R1/180165 and RP\R\231004). Figure elements were
  adapted from Bio-Render. KBJ is the lead contact and guarantor of this study.
article_processing_charge: No
article_type: original
author:
- first_name: Marianne S.
  full_name: Andersen, Marianne S.
  last_name: Andersen
- first_name: Svetlana
  full_name: Ulyanchenko, Svetlana
  last_name: Ulyanchenko
- first_name: Pawel J.
  full_name: Schweiger, Pawel J.
  last_name: Schweiger
- first_name: Edouard B
  full_name: Hannezo, Edouard B
  id: 3A9DB764-F248-11E8-B48F-1D18A9856A87
  last_name: Hannezo
  orcid: 0000-0001-6005-1561
- first_name: Benjamin D.
  full_name: Simons, Benjamin D.
  last_name: Simons
- first_name: Kim B.
  full_name: Jensen, Kim B.
  last_name: Jensen
citation:
  ama: Andersen MS, Ulyanchenko S, Schweiger PJ, Hannezo EB, Simons BD, Jensen KB.
    Spatiotemporal switches in progenitor cell fate govern upper hair follicle growth
    and maintenance. <i>Journal of Investigative Dermatology</i>. 2025;145(9):2191-2202.e5.
    doi:<a href="https://doi.org/10.1016/j.jid.2025.01.034">10.1016/j.jid.2025.01.034</a>
  apa: Andersen, M. S., Ulyanchenko, S., Schweiger, P. J., Hannezo, E. B., Simons,
    B. D., &#38; Jensen, K. B. (2025). Spatiotemporal switches in progenitor cell
    fate govern upper hair follicle growth and maintenance. <i>Journal of Investigative
    Dermatology</i>. Elsevier. <a href="https://doi.org/10.1016/j.jid.2025.01.034">https://doi.org/10.1016/j.jid.2025.01.034</a>
  chicago: Andersen, Marianne S., Svetlana Ulyanchenko, Pawel J. Schweiger, Edouard
    B Hannezo, Benjamin D. Simons, and Kim B. Jensen. “Spatiotemporal Switches in
    Progenitor Cell Fate Govern Upper Hair Follicle Growth and Maintenance.” <i>Journal
    of Investigative Dermatology</i>. Elsevier, 2025. <a href="https://doi.org/10.1016/j.jid.2025.01.034">https://doi.org/10.1016/j.jid.2025.01.034</a>.
  ieee: M. S. Andersen, S. Ulyanchenko, P. J. Schweiger, E. B. Hannezo, B. D. Simons,
    and K. B. Jensen, “Spatiotemporal switches in progenitor cell fate govern upper
    hair follicle growth and maintenance,” <i>Journal of Investigative Dermatology</i>,
    vol. 145, no. 9. Elsevier, p. 2191–2202.e5, 2025.
  ista: Andersen MS, Ulyanchenko S, Schweiger PJ, Hannezo EB, Simons BD, Jensen KB.
    2025. Spatiotemporal switches in progenitor cell fate govern upper hair follicle
    growth and maintenance. Journal of Investigative Dermatology. 145(9), 2191–2202.e5.
  mla: Andersen, Marianne S., et al. “Spatiotemporal Switches in Progenitor Cell Fate
    Govern Upper Hair Follicle Growth and Maintenance.” <i>Journal of Investigative
    Dermatology</i>, vol. 145, no. 9, Elsevier, 2025, p. 2191–2202.e5, doi:<a href="https://doi.org/10.1016/j.jid.2025.01.034">10.1016/j.jid.2025.01.034</a>.
  short: M.S. Andersen, S. Ulyanchenko, P.J. Schweiger, E.B. Hannezo, B.D. Simons,
    K.B. Jensen, Journal of Investigative Dermatology 145 (2025) 2191–2202.e5.
corr_author: '1'
date_created: 2025-04-06T22:01:32Z
date_published: 2025-09-01T00:00:00Z
date_updated: 2025-12-29T14:13:43Z
day: '01'
ddc:
- '570'
department:
- _id: EdHa
doi: 10.1016/j.jid.2025.01.034
external_id:
  isi:
  - '001604396400001'
  pmid:
  - '40010488'
file:
- access_level: open_access
  checksum: a2b313de3cacb53f20f2b91c42612ad9
  content_type: application/pdf
  creator: dernst
  date_created: 2025-12-29T14:13:01Z
  date_updated: 2025-12-29T14:13:01Z
  file_id: '20874'
  file_name: 2025_JourInvestigativeDerma_Andersen.pdf
  file_size: 7301679
  relation: main_file
  success: 1
file_date_updated: 2025-12-29T14:13:01Z
has_accepted_license: '1'
intvolume: '       145'
isi: 1
issue: '9'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: 2191-2202.e5
pmid: 1
publication: Journal of Investigative Dermatology
publication_identifier:
  eissn:
  - 1523-1747
  issn:
  - 0022-202X
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Spatiotemporal switches in progenitor cell fate govern upper hair follicle
  growth and maintenance
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 145
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '19529'
abstract:
- lang: eng
  text: NRF2 is a transcription factor responsible for coordinating the expression
    of over a thousand cytoprotective genes. Although NRF2 is constitutively expressed,
    its stability is modulated by the redox-sensitive protein KEAP1 and other conditional
    binding partner regulators. The new era of NRF2 research has highlighted the cooperation
    between NRF2 and PIN1 in modifying its cytoprotective effect. Despite numerous
    studies, the understanding of the PIN1-NRF2 interaction remains limited. Herein,
    we described the binding interaction of PIN1 and three different 14-mer long phospho-peptides
    mimicking NRF2 protein using computer-based, biophysical, and biochemical approaches.
    According to our computational analyses, the residues positioned in the WW domain
    of PIN1 (Ser16, Arg17, Ser18, Tyr23, Ser32, Gln33, and Trp34) were found to be
    crucial for PIN1-NRF2 interactions. Biophysical FP assays were used to verify
    the computational prediction. The data demonstrated that Pintide, a peptide predominantly
    interacting with the PIN1 WW-domain, led to a significant reduction in the binding
    affinity of the NRF2 mimicking peptides. Moreover, we evaluated the impact of
    known PIN1 inhibitors (juglone, KPT-6566, and EGCG) on the PIN1-NRF2 interaction.
    Among the inhibitors, KPT-6566 showed the most potent inhibitory effect on PIN1-NRF2
    interaction within an IC<jats:sub>50</jats:sub> range of 0.3–1.4 µM. Furthermore,
    our mass spectrometry analyses showed that KPT-6566 appeared to covalently modify
    PIN1 via conjugate addition, rather than disulfide exchange of the sulfonyl-acetate
    moiety. Altogether, such inhibitors would also be highly valuable molecular probes
    for further investigation of PIN1 regulation of NRF2 in the cellular context and
    potentially pave the way for drug molecules that specifically inhibit the cytoprotective
    effects of NRF2 in cancer.
acknowledgement: The authors would like to thank the Ministry of National Education
  of Republic of Türkiye within the scope of the YLSY scholarship program for funding
  (AO). This article is based upon work from COST Action CA20121, supported by COST
  (European Cooperation in Science and Technology) (www.cost.eu) (https://benbedphar.org/about-benbedphar/).
  The molecular dynamics simulations reported in this paper were performed at TUBITAK
  ULAKBIM, High Performance and Grid Computing Center (TRUBA resources). The authors
  thank Dr Sharad Mistry for his support in acquiring and processing the MS data.
article_number: '8907'
article_processing_charge: Yes
article_type: original
author:
- first_name: Adem
  full_name: Ozleyen, Adem
  last_name: Ozleyen
- first_name: Gizem Nur
  full_name: Duran, Gizem Nur
  last_name: Duran
- first_name: Serhat
  full_name: Dönmez, Serhat
  id: 7c624079-3200-11ee-973b-9fcc8a575580
  last_name: Dönmez
- first_name: Mehmet
  full_name: Ozbil, Mehmet
  last_name: Ozbil
- first_name: Richard G.
  full_name: Doveston, Richard G.
  last_name: Doveston
- first_name: Tugba Boyunegmez
  full_name: Tumer, Tugba Boyunegmez
  last_name: Tumer
citation:
  ama: Ozleyen A, Duran GN, Dönmez S, Ozbil M, Doveston RG, Tumer TB. Identification
    and inhibition of PIN1-NRF2 protein–protein interactions through computational
    and biophysical approaches. <i>Scientific Reports</i>. 2025;15. doi:<a href="https://doi.org/10.1038/s41598-025-89342-0">10.1038/s41598-025-89342-0</a>
  apa: Ozleyen, A., Duran, G. N., Dönmez, S., Ozbil, M., Doveston, R. G., &#38; Tumer,
    T. B. (2025). Identification and inhibition of PIN1-NRF2 protein–protein interactions
    through computational and biophysical approaches. <i>Scientific Reports</i>. Springer
    Nature. <a href="https://doi.org/10.1038/s41598-025-89342-0">https://doi.org/10.1038/s41598-025-89342-0</a>
  chicago: Ozleyen, Adem, Gizem Nur Duran, Serhat Dönmez, Mehmet Ozbil, Richard G.
    Doveston, and Tugba Boyunegmez Tumer. “Identification and Inhibition of PIN1-NRF2
    Protein–Protein Interactions through Computational and Biophysical Approaches.”
    <i>Scientific Reports</i>. Springer Nature, 2025. <a href="https://doi.org/10.1038/s41598-025-89342-0">https://doi.org/10.1038/s41598-025-89342-0</a>.
  ieee: A. Ozleyen, G. N. Duran, S. Dönmez, M. Ozbil, R. G. Doveston, and T. B. Tumer,
    “Identification and inhibition of PIN1-NRF2 protein–protein interactions through
    computational and biophysical approaches,” <i>Scientific Reports</i>, vol. 15.
    Springer Nature, 2025.
  ista: Ozleyen A, Duran GN, Dönmez S, Ozbil M, Doveston RG, Tumer TB. 2025. Identification
    and inhibition of PIN1-NRF2 protein–protein interactions through computational
    and biophysical approaches. Scientific Reports. 15, 8907.
  mla: Ozleyen, Adem, et al. “Identification and Inhibition of PIN1-NRF2 Protein–Protein
    Interactions through Computational and Biophysical Approaches.” <i>Scientific
    Reports</i>, vol. 15, 8907, Springer Nature, 2025, doi:<a href="https://doi.org/10.1038/s41598-025-89342-0">10.1038/s41598-025-89342-0</a>.
  short: A. Ozleyen, G.N. Duran, S. Dönmez, M. Ozbil, R.G. Doveston, T.B. Tumer, Scientific
    Reports 15 (2025).
date_created: 2025-04-08T11:12:20Z
date_published: 2025-03-14T00:00:00Z
date_updated: 2025-09-30T11:33:37Z
day: '14'
ddc:
- '570'
department:
- _id: LeSa
doi: 10.1038/s41598-025-89342-0
external_id:
  isi:
  - '001445507400002'
  pmid:
  - '40087364'
file:
- access_level: open_access
  checksum: 6124a10402a67b66364cfa9350d35b4b
  content_type: application/pdf
  creator: dernst
  date_created: 2025-04-10T06:21:11Z
  date_updated: 2025-04-10T06:21:11Z
  file_id: '19537'
  file_name: 2025_ScientificReports_Ozleyen.pdf
  file_size: 5333058
  relation: main_file
  success: 1
file_date_updated: 2025-04-10T06:21:11Z
has_accepted_license: '1'
intvolume: '        15'
isi: 1
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
pmid: 1
publication: Scientific Reports
publication_identifier:
  eissn:
  - 2045-2322
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Identification and inhibition of PIN1-NRF2 protein–protein interactions through
  computational and biophysical approaches
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 15
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '19554'
abstract:
- lang: eng
  text: 'In 1981, Karp and Sipser proved a law of large numbers for the matching number
    of a sparse Erdős–Rényi random graph, in an influential paper pioneering the so-called
    differential equation method for analysis of random graph processes. Strengthening
    this classical result, and answering a question of Aronson, Frieze and Pittel,
    we prove a central limit theorem in the same setting: the fluctuations in the
    matching number of a sparse random graph are asymptotically Gaussian. Our new
    contribution is to prove this central limit theorem in the subcritical and critical
    regimes, according to a celebrated algorithmic phase transition first observed
    by Karp and Sipser. Indeed, in the supercritical regime, a central limit theorem
    has recently been proved in the PhD thesis of Kreačić, using a stochastic generalisation
    of the differential equation method (comparing the so-called Karp–Sipser process
    to a system of stochastic differential equations). Our proof builds on these methods,
    and introduces new techniques to handle certain degeneracies present in the subcritical
    and critical cases. Curiously, our new techniques lead to a non-constructive result:
    we are able to characterise the fluctuations of the matching number around its
    mean, despite these fluctuations being much smaller than the error terms in our
    best estimates of the mean. We also prove a central limit theorem for the rank
    of the adjacency matrix of a sparse random graph.'
acknowledgement: "We would like to thank Christina Goldschmidt and Eleonora Kreačić
  for insightful discussions and clarifications about their work in the thesis [26].
  Matthew Kwan was supported by ERC Starting Grant ‘RANDSTRUCT’ No. 101076777. Ashwin
  Sah and Mehtaab Sawhney were supported by NSF Graduate Research Fellowship Program
  DGE-2141064. Ashwin Sah was supported by the PD Soros Fellowship.\r\nOpen access
  funding provided by Institute of Science and Technology Austria/KEMÖ."
article_number: e70101
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Margalit
  full_name: Glasgow, Margalit
  last_name: Glasgow
- first_name: Matthew Alan
  full_name: Kwan, Matthew Alan
  id: 5fca0887-a1db-11eb-95d1-ca9d5e0453b3
  last_name: Kwan
  orcid: 0000-0002-4003-7567
- first_name: Ashwin
  full_name: Sah, Ashwin
  last_name: Sah
- first_name: Mehtaab
  full_name: Sawhney, Mehtaab
  last_name: Sawhney
citation:
  ama: Glasgow M, Kwan MA, Sah A, Sawhney M. A central limit theorem for the matching
    number of a sparse random graph. <i>Journal of the London Mathematical Society</i>.
    2025;111(4). doi:<a href="https://doi.org/10.1112/jlms.70101">10.1112/jlms.70101</a>
  apa: Glasgow, M., Kwan, M. A., Sah, A., &#38; Sawhney, M. (2025). A central limit
    theorem for the matching number of a sparse random graph. <i>Journal of the London
    Mathematical Society</i>. Wiley. <a href="https://doi.org/10.1112/jlms.70101">https://doi.org/10.1112/jlms.70101</a>
  chicago: Glasgow, Margalit, Matthew Alan Kwan, Ashwin Sah, and Mehtaab Sawhney.
    “A Central Limit Theorem for the Matching Number of a Sparse Random Graph.” <i>Journal
    of the London Mathematical Society</i>. Wiley, 2025. <a href="https://doi.org/10.1112/jlms.70101">https://doi.org/10.1112/jlms.70101</a>.
  ieee: M. Glasgow, M. A. Kwan, A. Sah, and M. Sawhney, “A central limit theorem for
    the matching number of a sparse random graph,” <i>Journal of the London Mathematical
    Society</i>, vol. 111, no. 4. Wiley, 2025.
  ista: Glasgow M, Kwan MA, Sah A, Sawhney M. 2025. A central limit theorem for the
    matching number of a sparse random graph. Journal of the London Mathematical Society.
    111(4), e70101.
  mla: Glasgow, Margalit, et al. “A Central Limit Theorem for the Matching Number
    of a Sparse Random Graph.” <i>Journal of the London Mathematical Society</i>,
    vol. 111, no. 4, e70101, Wiley, 2025, doi:<a href="https://doi.org/10.1112/jlms.70101">10.1112/jlms.70101</a>.
  short: M. Glasgow, M.A. Kwan, A. Sah, M. Sawhney, Journal of the London Mathematical
    Society 111 (2025).
corr_author: '1'
date_created: 2025-04-13T22:01:19Z
date_published: 2025-04-01T00:00:00Z
date_updated: 2025-09-30T11:35:55Z
day: '01'
ddc:
- '510'
department:
- _id: MaKw
doi: 10.1112/jlms.70101
external_id:
  arxiv:
  - '2402.05851'
  isi:
  - '001473087200024'
file:
- access_level: open_access
  checksum: 69ce9feaf64e776b99f3afd1041b1b11
  content_type: application/pdf
  creator: dernst
  date_created: 2025-04-15T13:18:43Z
  date_updated: 2025-04-15T13:18:43Z
  file_id: '19564'
  file_name: 2025_JourLondMathSoc_Glasgow.pdf
  file_size: 392208
  relation: main_file
  success: 1
file_date_updated: 2025-04-15T13:18:43Z
has_accepted_license: '1'
intvolume: '       111'
isi: 1
issue: '4'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
project:
- _id: bd95085b-d553-11ed-ba76-e55d3349be45
  grant_number: '101076777'
  name: Randomness and structure in combinatorics
publication: Journal of the London Mathematical Society
publication_identifier:
  eissn:
  - 1469-7750
  issn:
  - 0024-6107
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: A central limit theorem for the matching number of a sparse random graph
tmp:
  image: /images/cc_by_nc.png
  legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
  short: CC BY-NC (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 111
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '19555'
abstract:
- lang: eng
  text: The charged arginine side chain is unique in determining many innate properties
    of proteins, contributing to stability and interaction surfaces, and directing
    allosteric regulation and enzymatic catalysis. NMR experiments can be used to
    reveal these processes at the molecular level, but it often requires selective
    insertion of carbon-13, nitrogen-15, and deuterium at defined atomic positions.
    We introduce a method to endow arginine residues with defined isotope patterns,
    combining synthetic organic chemistry and cell-based protein overexpression. The
    resulting proteins feature NMR active spin systems with optimized relaxation pathways
    leading to simplified NMR spectra with a sensitive response to changes in the
    chemical environment of the nuclei observed.
acknowledged_ssus:
- _id: NMR
acknowledgement: We thank Lea Marie Becker for assistance with python scripts used
  to analyze the labeling efficiency, and Undina Guillerm, Rajkumar Singh, and Anna
  Kapitonova for help with protein production. This work was supported by the Austrian
  Science Fund (FWF; project number I5812-B) through a French-Austrian bi-national
  research project. We thank the Scientific Service Units (SSU) of Institute of Science
  and Technology Austria (ISTA) through resources provided by the NMR Facility, as
  well as the NMR center and MS center of the University of Vienna.
article_number: e202500408
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Darja
  full_name: Rohden, Darja
  id: 81dc668a-19fa-11f0-bf31-d56534059ef3
  last_name: Rohden
- first_name: Giorgia
  full_name: Toscano, Giorgia
  last_name: Toscano
- first_name: Paul
  full_name: Schanda, Paul
  id: 7B541462-FAF6-11E9-A490-E8DFE5697425
  last_name: Schanda
  orcid: 0000-0002-9350-7606
- first_name: Roman J.
  full_name: Lichtenecker, Roman J.
  last_name: Lichtenecker
citation:
  ama: Rohden D, Toscano G, Schanda P, Lichtenecker RJ. Synthesis of selectively 13C/2H/15N-
    labeled arginine to probe protein conformation and interaction by NMR spectroscopy.
    <i>Chemistry - A European Journal</i>. 2025;31(24). doi:<a href="https://doi.org/10.1002/chem.202500408">10.1002/chem.202500408</a>
  apa: Rohden, D., Toscano, G., Schanda, P., &#38; Lichtenecker, R. J. (2025). Synthesis
    of selectively 13C/2H/15N- labeled arginine to probe protein conformation and
    interaction by NMR spectroscopy. <i>Chemistry - A European Journal</i>. Wiley.
    <a href="https://doi.org/10.1002/chem.202500408">https://doi.org/10.1002/chem.202500408</a>
  chicago: Rohden, Darja, Giorgia Toscano, Paul Schanda, and Roman J. Lichtenecker.
    “Synthesis of Selectively 13C/2H/15N- Labeled Arginine to Probe Protein Conformation
    and Interaction by NMR Spectroscopy.” <i>Chemistry - A European Journal</i>. Wiley,
    2025. <a href="https://doi.org/10.1002/chem.202500408">https://doi.org/10.1002/chem.202500408</a>.
  ieee: D. Rohden, G. Toscano, P. Schanda, and R. J. Lichtenecker, “Synthesis of selectively
    13C/2H/15N- labeled arginine to probe protein conformation and interaction by
    NMR spectroscopy,” <i>Chemistry - A European Journal</i>, vol. 31, no. 24. Wiley,
    2025.
  ista: Rohden D, Toscano G, Schanda P, Lichtenecker RJ. 2025. Synthesis of selectively
    13C/2H/15N- labeled arginine to probe protein conformation and interaction by
    NMR spectroscopy. Chemistry - A European Journal. 31(24), e202500408.
  mla: Rohden, Darja, et al. “Synthesis of Selectively 13C/2H/15N- Labeled Arginine
    to Probe Protein Conformation and Interaction by NMR Spectroscopy.” <i>Chemistry
    - A European Journal</i>, vol. 31, no. 24, e202500408, Wiley, 2025, doi:<a href="https://doi.org/10.1002/chem.202500408">10.1002/chem.202500408</a>.
  short: D. Rohden, G. Toscano, P. Schanda, R.J. Lichtenecker, Chemistry - A European
    Journal 31 (2025).
corr_author: '1'
date_created: 2025-04-13T22:01:19Z
date_published: 2025-04-25T00:00:00Z
date_updated: 2025-09-30T11:35:05Z
day: '25'
ddc:
- '540'
department:
- _id: PaSc
doi: 10.1002/chem.202500408
external_id:
  isi:
  - '001479486400019'
  pmid:
  - '40080421'
file:
- access_level: open_access
  checksum: e3788628644b5aac666cf079b05f8fa7
  content_type: application/pdf
  creator: dernst
  date_created: 2025-08-05T12:59:24Z
  date_updated: 2025-08-05T12:59:24Z
  file_id: '20136'
  file_name: 2025_ChemistryEur_Rohden.pdf
  file_size: 2840681
  relation: main_file
  success: 1
file_date_updated: 2025-08-05T12:59:24Z
has_accepted_license: '1'
intvolume: '        31'
isi: 1
issue: '24'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: eb9c82eb-77a9-11ec-83b8-aadd536561cf
  grant_number: I05812
  name: AlloSpace. The emergence and mechanisms of allostery
publication: Chemistry - A European Journal
publication_identifier:
  eissn:
  - 1521-3765
  issn:
  - 0947-6539
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Synthesis of selectively 13C/2H/15N- labeled arginine to probe protein conformation
  and interaction by NMR spectroscopy
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 31
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '19565'
abstract:
- lang: eng
  text: 'Measuring distances in a multidimensional setting is a challenging problem,
    which appears in many fields of science and engineering. In this paper, to measure
    the distance between two multivariate distributions, we introduce a new measure
    of discrepancy which is scale invariant and which, in the case of two independent
    copies of the same distribution, and after normalization, coincides with the scaling
    invariant multidimensional version of the Gini index recently proposed in [P.
    Giudici, E. Raffinetti and G. Toscani, Measuring multidimensional inequality:
    A new proposal based on the Fourier transform, preprint (2024), arXiv:2401.14012
    ]. A byproduct of the analysis is an easy-to-handle discrepancy metric, obtained
    by application of the theory to a pair of Gaussian multidimensional densities.
    The obtained metric does improve the standard metrics, based on the mean squared
    error, as it is scale invariant. The importance of this theoretical finding is
    illustrated by means of a real problem that concerns measuring the importance
    of Environmental, Social and Governance factors for the growth of small and medium
    enterprises. '
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Gennaro
  full_name: Auricchio, Gennaro
  last_name: Auricchio
- first_name: Giovanni
  full_name: Brigati, Giovanni
  id: 63ff57e8-1fbb-11ee-88f2-f558ffc59cf1
  last_name: Brigati
- first_name: Paolo
  full_name: Giudici, Paolo
  last_name: Giudici
- first_name: Giuseppe
  full_name: Toscani, Giuseppe
  last_name: Toscani
citation:
  ama: Auricchio G, Brigati G, Giudici P, Toscani G. Multivariate Gini-type discrepancies.
    <i>Mathematical Models and Methods in Applied Sciences</i>. 2025;35(5):1267-1296.
    doi:<a href="https://doi.org/10.1142/s0218202525500174">10.1142/s0218202525500174</a>
  apa: Auricchio, G., Brigati, G., Giudici, P., &#38; Toscani, G. (2025). Multivariate
    Gini-type discrepancies. <i>Mathematical Models and Methods in Applied Sciences</i>.
    World Scientific Publishing. <a href="https://doi.org/10.1142/s0218202525500174">https://doi.org/10.1142/s0218202525500174</a>
  chicago: Auricchio, Gennaro, Giovanni Brigati, Paolo Giudici, and Giuseppe Toscani.
    “Multivariate Gini-Type Discrepancies.” <i>Mathematical Models and Methods in
    Applied Sciences</i>. World Scientific Publishing, 2025. <a href="https://doi.org/10.1142/s0218202525500174">https://doi.org/10.1142/s0218202525500174</a>.
  ieee: G. Auricchio, G. Brigati, P. Giudici, and G. Toscani, “Multivariate Gini-type
    discrepancies,” <i>Mathematical Models and Methods in Applied Sciences</i>, vol.
    35, no. 5. World Scientific Publishing, pp. 1267–1296, 2025.
  ista: Auricchio G, Brigati G, Giudici P, Toscani G. 2025. Multivariate Gini-type
    discrepancies. Mathematical Models and Methods in Applied Sciences. 35(5), 1267–1296.
  mla: Auricchio, Gennaro, et al. “Multivariate Gini-Type Discrepancies.” <i>Mathematical
    Models and Methods in Applied Sciences</i>, vol. 35, no. 5, World Scientific Publishing,
    2025, pp. 1267–96, doi:<a href="https://doi.org/10.1142/s0218202525500174">10.1142/s0218202525500174</a>.
  short: G. Auricchio, G. Brigati, P. Giudici, G. Toscani, Mathematical Models and
    Methods in Applied Sciences 35 (2025) 1267–1296.
date_created: 2025-04-15T13:34:00Z
date_published: 2025-05-01T00:00:00Z
date_updated: 2025-09-30T11:36:56Z
day: '01'
department:
- _id: JaMa
doi: 10.1142/s0218202525500174
external_id:
  arxiv:
  - '2411.01052'
  isi:
  - '001456337300001'
intvolume: '        35'
isi: 1
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2411.01052
month: '05'
oa: 1
oa_version: Preprint
page: 1267-1296
publication: Mathematical Models and Methods in Applied Sciences
publication_identifier:
  eissn:
  - 1793-6314
  issn:
  - 0218-2025
publication_status: published
publisher: World Scientific Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Multivariate Gini-type discrepancies
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 35
year: '2025'
...
---
OA_type: closed access
_id: '19585'
abstract:
- lang: eng
  text: Air quality in northern South America faces significant challenges due to
    insufficient high-resolution emission inventories and sparse atmospheric studies.
    This study addresses these gaps by developing a novel framework that integrates
    high-resolution nighttime light data from SDGSAT-1 and multisource remote sensing
    datasets with deep learning techniques to downscale emission inventories. The
    refined inventories are coupled with meteorological inputs into the Weather Research
    and Forecasting (WRF-Chem) model, enabling precise simulation of pollutant dynamics.
    Validated against ground measurements from Colombia's SISAIRE monitoring network,
    demonstrates significant improvements in spatiotemporal accuracy, particularly
    for particulate matter (PM) and nitrogen dioxide (NO₂) with error reductions of
    22–30 % and correlation coefficients increasing from 0.68 to 0.85. These findings
    underscore the critical role of satellite-enhanced inventories in resolving localized
    emission patterns and seasonal variability, such as dry-season PM₁₀ spikes (150
    % increase from wildfires). The framework provides policymakers with actionable
    insights to prioritize mitigation in rapidly urbanizing regions and manage transboundary
    pollution. By bridging data scarcity gaps, this replicable methodology offers
    transformative potential for global air quality management and public health protection,
    advocating for expanded ground monitoring networks and real-time satellite data
    integration in future applications.
acknowledgement: This project was supported by the National Natural Science Foundation
  of China (Grant No. 42471425). The research findings are a component of the SDGSAT-1
  Open Science Program, which is conducted by the International Research Center of
  Big Data for Sustainable Development Goals (CBAS). The data utilized in this study
  is sourced from SDGSAT-1 and provided by CBAS. Alejandro Casallas was supported
  by a fellowship awarded by the Abdus Salam International Centre for Theoretical
  Physics and also by the European Union's Horizon 2020 research and innovation programme
  under the Marie Skłodowska-Curie grant agreement No 101034413. Ellie López-Barrera
  was supported by project No. IN.BG.086.24.015 from Universidad Sergio Arboleda.
article_number: '114761'
article_processing_charge: No
article_type: original
author:
- first_name: Franz
  full_name: Antezana-Lopez, Franz
  last_name: Antezana-Lopez
- first_name: Alejandro
  full_name: Casallas Garcia, Alejandro
  id: 92081129-2d75-11ef-a48d-b04dd7a2385a
  last_name: Casallas Garcia
  orcid: 0000-0002-1988-5035
- first_name: Guanhua
  full_name: Zhou, Guanhua
  last_name: Zhou
- first_name: Kai
  full_name: Zhang, Kai
  last_name: Zhang
- first_name: Guifei
  full_name: Jing, Guifei
  last_name: Jing
- first_name: Aamir
  full_name: Ali, Aamir
  last_name: Ali
- first_name: Ellie
  full_name: Lopez-Barrera, Ellie
  last_name: Lopez-Barrera
- first_name: Luis Carlos
  full_name: Belalcazar, Luis Carlos
  last_name: Belalcazar
- first_name: Nestor
  full_name: Rojas, Nestor
  last_name: Rojas
- first_name: Hongzhi
  full_name: Jiang, Hongzhi
  last_name: Jiang
citation:
  ama: Antezana-Lopez F, Casallas Garcia A, Zhou G, et al. High-resolution anthropogenic
    emission inventories with deep learning in northern South America. <i>Remote Sensing
    of Environment</i>. 2025;324. doi:<a href="https://doi.org/10.1016/j.rse.2025.114761">10.1016/j.rse.2025.114761</a>
  apa: Antezana-Lopez, F., Casallas Garcia, A., Zhou, G., Zhang, K., Jing, G., Ali,
    A., … Jiang, H. (2025). High-resolution anthropogenic emission inventories with
    deep learning in northern South America. <i>Remote Sensing of Environment</i>.
    Elsevier. <a href="https://doi.org/10.1016/j.rse.2025.114761">https://doi.org/10.1016/j.rse.2025.114761</a>
  chicago: Antezana-Lopez, Franz, Alejandro Casallas Garcia, Guanhua Zhou, Kai Zhang,
    Guifei Jing, Aamir Ali, Ellie Lopez-Barrera, Luis Carlos Belalcazar, Nestor Rojas,
    and Hongzhi Jiang. “High-Resolution Anthropogenic Emission Inventories with Deep
    Learning in Northern South America.” <i>Remote Sensing of Environment</i>. Elsevier,
    2025. <a href="https://doi.org/10.1016/j.rse.2025.114761">https://doi.org/10.1016/j.rse.2025.114761</a>.
  ieee: F. Antezana-Lopez <i>et al.</i>, “High-resolution anthropogenic emission inventories
    with deep learning in northern South America,” <i>Remote Sensing of Environment</i>,
    vol. 324. Elsevier, 2025.
  ista: Antezana-Lopez F, Casallas Garcia A, Zhou G, Zhang K, Jing G, Ali A, Lopez-Barrera
    E, Belalcazar LC, Rojas N, Jiang H. 2025. High-resolution anthropogenic emission
    inventories with deep learning in northern South America. Remote Sensing of Environment.
    324, 114761.
  mla: Antezana-Lopez, Franz, et al. “High-Resolution Anthropogenic Emission Inventories
    with Deep Learning in Northern South America.” <i>Remote Sensing of Environment</i>,
    vol. 324, 114761, Elsevier, 2025, doi:<a href="https://doi.org/10.1016/j.rse.2025.114761">10.1016/j.rse.2025.114761</a>.
  short: F. Antezana-Lopez, A. Casallas Garcia, G. Zhou, K. Zhang, G. Jing, A. Ali,
    E. Lopez-Barrera, L.C. Belalcazar, N. Rojas, H. Jiang, Remote Sensing of Environment
    324 (2025).
date_created: 2025-04-17T09:04:17Z
date_published: 2025-07-01T00:00:00Z
date_updated: 2025-12-30T08:15:35Z
day: '01'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1016/j.rse.2025.114761
ec_funded: 1
external_id:
  isi:
  - '001475174300001'
has_accepted_license: '1'
intvolume: '       324'
isi: 1
language:
- iso: eng
month: '07'
oa_version: None
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: Remote Sensing of Environment
publication_identifier:
  eissn:
  - 1879-0704
  issn:
  - 0034-4257
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: High-resolution anthropogenic emission inventories with deep learning in northern
  South America
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 324
year: '2025'
...
---
OA_type: closed access
_id: '19594'
abstract:
- lang: eng
  text: In this issue of Developmental Cell, Lee et al. identify a pivotal role for
    glutathione (GSH) in plant regeneration, a vital biological process enabling plants
    to regrow tissues and organs after injury. Applying single-cell RNA sequencing
    (scRNA-seq) and live imaging, the authors demonstrate that GSH, released upon
    tissue damage, accelerates cell-cycle transitions, particularly shortening the
    G1 phase, thereby facilitating efficient organ regeneration.
article_processing_charge: No
article_type: letter_note
author:
- first_name: Eva
  full_name: Benková, Eva
  id: 38F4F166-F248-11E8-B48F-1D18A9856A87
  last_name: Benková
  orcid: 0000-0002-8510-9739
citation:
  ama: 'Benková E. Unlocking plant regeneration: The role for glutathione. <i>Developmental
    Cell</i>. 2025;60(8):1137-1139. doi:<a href="https://doi.org/10.1016/j.devcel.2025.03.012">10.1016/j.devcel.2025.03.012</a>'
  apa: 'Benková, E. (2025). Unlocking plant regeneration: The role for glutathione.
    <i>Developmental Cell</i>. Elsevier. <a href="https://doi.org/10.1016/j.devcel.2025.03.012">https://doi.org/10.1016/j.devcel.2025.03.012</a>'
  chicago: 'Benková, Eva. “Unlocking Plant Regeneration: The Role for Glutathione.”
    <i>Developmental Cell</i>. Elsevier, 2025. <a href="https://doi.org/10.1016/j.devcel.2025.03.012">https://doi.org/10.1016/j.devcel.2025.03.012</a>.'
  ieee: 'E. Benková, “Unlocking plant regeneration: The role for glutathione,” <i>Developmental
    Cell</i>, vol. 60, no. 8. Elsevier, pp. 1137–1139, 2025.'
  ista: 'Benková E. 2025. Unlocking plant regeneration: The role for glutathione.
    Developmental Cell. 60(8), 1137–1139.'
  mla: 'Benková, Eva. “Unlocking Plant Regeneration: The Role for Glutathione.” <i>Developmental
    Cell</i>, vol. 60, no. 8, Elsevier, 2025, pp. 1137–39, doi:<a href="https://doi.org/10.1016/j.devcel.2025.03.012">10.1016/j.devcel.2025.03.012</a>.'
  short: E. Benková, Developmental Cell 60 (2025) 1137–1139.
corr_author: '1'
date_created: 2025-04-20T22:01:28Z
date_published: 2025-04-21T00:00:00Z
date_updated: 2025-09-30T12:07:36Z
day: '21'
department:
- _id: EvBe
doi: 10.1016/j.devcel.2025.03.012
external_id:
  isi:
  - '001477400800001'
  pmid:
  - '40262524'
intvolume: '        60'
isi: 1
issue: '8'
language:
- iso: eng
month: '04'
oa_version: None
page: 1137-1139
pmid: 1
publication: Developmental Cell
publication_identifier:
  eissn:
  - 1878-1551
  issn:
  - 1534-5807
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Unlocking plant regeneration: The role for glutathione'
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 60
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '19595'
abstract:
- lang: eng
  text: We investigate the locality of magnetic response in polycyclic aromatic molecules
    using a novel deep-learning approach. Our method employs graph neural networks
    (GNNs) with a graph-of-rings representation to predict nucleus independent chemical
    shifts (NICS) in the space around the molecule. We train a series of models, each
    time reducing the size of the largest molecules used in training. The accuracy
    of prediction remains high (MAE < 0.5 ppm), even when training the model only
    on molecules with up to four rings, thus providing strong evidence for the locality
    of magnetic response. To overcome the known problem of generalization of GNNs,
    we implement a k-hop expansion strategy and succeed in achieving accurate predictions
    for molecules with up to 15 rings (almost 4 times the size of the largest training
    example). Our findings have implications for understanding the magnetic response
    in complex molecules and demonstrate a promising approach to overcoming GNN scalability
    limitations. Furthermore, the trained models enable rapid characterization, without
    the need for more expensive DFT calculations.
acknowledgement: The authors express their gratitude to Professor Dr. Peter Chen for
  his continued support. The authors acknowledge the Branco Weiss Fellowship for supporting
  this research as part of a Society in Science grant and the Israel Science Foundation
  for financial support (Grant No. 1745/23 to R.G.-P.). R.G.-P. is a Branco Weiss
  Fellow, a Horev Fellow, and an Alon Scholarship recipient. A.M.B. was supported
  by the ERC StG EARS and the Israeli Science Foundation.
article_number: '144101'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Yair
  full_name: Davidson, Yair
  last_name: Davidson
- first_name: Aviad
  full_name: Philipp, Aviad
  last_name: Philipp
- first_name: Sabyasachi
  full_name: Chakraborty, Sabyasachi
  last_name: Chakraborty
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Renana
  full_name: Gershoni-Poranne, Renana
  last_name: Gershoni-Poranne
citation:
  ama: Davidson Y, Philipp A, Chakraborty S, Bronstein AM, Gershoni-Poranne R. How
    local is “local”? Deep learning reveals locality of the induced magnetic field
    of polycyclic aromatic hydrocarbons. <i>Journal of Chemical Physics</i>. 2025;162(14).
    doi:<a href="https://doi.org/10.1063/5.0257558">10.1063/5.0257558</a>
  apa: Davidson, Y., Philipp, A., Chakraborty, S., Bronstein, A. M., &#38; Gershoni-Poranne,
    R. (2025). How local is “local”? Deep learning reveals locality of the induced
    magnetic field of polycyclic aromatic hydrocarbons. <i>Journal of Chemical Physics</i>.
    AIP Publishing. <a href="https://doi.org/10.1063/5.0257558">https://doi.org/10.1063/5.0257558</a>
  chicago: Davidson, Yair, Aviad Philipp, Sabyasachi Chakraborty, Alex M. Bronstein,
    and Renana Gershoni-Poranne. “How Local Is ‘Local’? Deep Learning Reveals Locality
    of the Induced Magnetic Field of Polycyclic Aromatic Hydrocarbons.” <i>Journal
    of Chemical Physics</i>. AIP Publishing, 2025. <a href="https://doi.org/10.1063/5.0257558">https://doi.org/10.1063/5.0257558</a>.
  ieee: Y. Davidson, A. Philipp, S. Chakraborty, A. M. Bronstein, and R. Gershoni-Poranne,
    “How local is ‘local’? Deep learning reveals locality of the induced magnetic
    field of polycyclic aromatic hydrocarbons,” <i>Journal of Chemical Physics</i>,
    vol. 162, no. 14. AIP Publishing, 2025.
  ista: Davidson Y, Philipp A, Chakraborty S, Bronstein AM, Gershoni-Poranne R. 2025.
    How local is “local”? Deep learning reveals locality of the induced magnetic field
    of polycyclic aromatic hydrocarbons. Journal of Chemical Physics. 162(14), 144101.
  mla: Davidson, Yair, et al. “How Local Is ‘Local’? Deep Learning Reveals Locality
    of the Induced Magnetic Field of Polycyclic Aromatic Hydrocarbons.” <i>Journal
    of Chemical Physics</i>, vol. 162, no. 14, 144101, AIP Publishing, 2025, doi:<a
    href="https://doi.org/10.1063/5.0257558">10.1063/5.0257558</a>.
  short: Y. Davidson, A. Philipp, S. Chakraborty, A.M. Bronstein, R. Gershoni-Poranne,
    Journal of Chemical Physics 162 (2025).
corr_author: '1'
date_created: 2025-04-20T22:01:28Z
date_published: 2025-04-14T00:00:00Z
date_updated: 2025-09-30T12:06:51Z
day: '14'
ddc:
- '000'
department:
- _id: AlBr
doi: 10.1063/5.0257558
external_id:
  isi:
  - '001466311300030'
  pmid:
  - '40197568'
file:
- access_level: open_access
  checksum: 20a31a4c506b52de863bab7d3ff989ef
  content_type: application/pdf
  creator: dernst
  date_created: 2025-04-22T09:27:43Z
  date_updated: 2025-04-22T09:27:43Z
  file_id: '19606'
  file_name: 2025_JourChemicalPhysics_Davidson.pdf
  file_size: 7812182
  relation: main_file
  success: 1
file_date_updated: 2025-04-22T09:27:43Z
has_accepted_license: '1'
intvolume: '       162'
isi: 1
issue: '14'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 92f4a086-16d5-11f0-9cad-c929f5c58b0c
  grant_number: '863839'
  name: Acoustics-based drone navigation and interaction
publication: Journal of Chemical Physics
publication_identifier:
  eissn:
  - 1089-7690
  issn:
  - 0021-9606
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
related_material:
  link:
  - relation: software
    url: https://gitlab.com/porannegroup/magnetic_locality
scopus_import: '1'
status: public
title: How local is “local”? Deep learning reveals locality of the induced magnetic
  field of polycyclic aromatic hydrocarbons
tmp:
  image: /images/cc_by_nc.png
  legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
  short: CC BY-NC (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 162
year: '2025'
...
