---
_id: '12548'
abstract:
- lang: eng
text: The limited exchange between human communities is a key factor in preventing
the spread of COVID-19. This paper introduces a digital framework that combines
an integration of real mobility data at the country scale with a series of modeling
techniques and visual capabilities that highlight mobility patterns before and
during the pandemic. The findings not only significantly exhibit mobility trends
and different degrees of similarities at regional and local levels but also provide
potential insight into the emergence of a pandemic on human behavior patterns
and their likely socio-economic impacts.
article_number: '00093'
article_processing_charge: No
author:
- first_name: Mohammad
full_name: Forghani, Mohammad
last_name: Forghani
- first_name: Christophe
full_name: Claramunt, Christophe
last_name: Claramunt
- first_name: Farid
full_name: Karimipour, Farid
id: 2A2BCDC4-CF62-11E9-BE5E-3B1EE6697425
last_name: Karimipour
orcid: 0000-0001-6746-4174
- first_name: Georg
full_name: Heiler, Georg
last_name: Heiler
citation:
ama: 'Forghani M, Claramunt C, Karimipour F, Heiler G. Visual analytics of mobility
network changes observed using mobile phone data during COVID-19 pandemic. In:
2022 IEEE International Conference on Data Mining Workshops. Institute
of Electrical and Electronics Engineers; 2023. doi:10.1109/icdmw58026.2022.00093'
apa: 'Forghani, M., Claramunt, C., Karimipour, F., & Heiler, G. (2023). Visual
analytics of mobility network changes observed using mobile phone data during
COVID-19 pandemic. In 2022 IEEE International Conference on Data Mining Workshops.
Orlando, FL, United States: Institute of Electrical and Electronics Engineers.
https://doi.org/10.1109/icdmw58026.2022.00093'
chicago: Forghani, Mohammad, Christophe Claramunt, Farid Karimipour, and Georg Heiler.
“Visual Analytics of Mobility Network Changes Observed Using Mobile Phone Data
during COVID-19 Pandemic.” In 2022 IEEE International Conference on Data Mining
Workshops. Institute of Electrical and Electronics Engineers, 2023. https://doi.org/10.1109/icdmw58026.2022.00093.
ieee: M. Forghani, C. Claramunt, F. Karimipour, and G. Heiler, “Visual analytics
of mobility network changes observed using mobile phone data during COVID-19 pandemic,”
in 2022 IEEE International Conference on Data Mining Workshops, Orlando,
FL, United States, 2023.
ista: 'Forghani M, Claramunt C, Karimipour F, Heiler G. 2023. Visual analytics of
mobility network changes observed using mobile phone data during COVID-19 pandemic.
2022 IEEE International Conference on Data Mining Workshops. ICDMW: Conference
on Data Mining Workshops, 00093.'
mla: Forghani, Mohammad, et al. “Visual Analytics of Mobility Network Changes Observed
Using Mobile Phone Data during COVID-19 Pandemic.” 2022 IEEE International
Conference on Data Mining Workshops, 00093, Institute of Electrical and Electronics
Engineers, 2023, doi:10.1109/icdmw58026.2022.00093.
short: M. Forghani, C. Claramunt, F. Karimipour, G. Heiler, in:, 2022 IEEE International
Conference on Data Mining Workshops, Institute of Electrical and Electronics Engineers,
2023.
conference:
end_date: 2022-12-01
location: Orlando, FL, United States
name: 'ICDMW: Conference on Data Mining Workshops'
start_date: 2022-11-28
date_created: 2023-02-14T07:56:21Z
date_published: 2023-02-08T00:00:00Z
date_updated: 2023-08-01T13:15:48Z
day: '08'
ddc:
- '600'
department:
- _id: HeEd
doi: 10.1109/icdmw58026.2022.00093
external_id:
isi:
- '000971492200145'
file:
- access_level: open_access
checksum: c253bee25e6dfe484f96662daa119cb6
content_type: application/pdf
creator: fkarimip
date_created: 2023-02-14T07:58:26Z
date_updated: 2023-02-14T07:58:26Z
file_id: '12549'
file_name: Visual Analysis_Mobility_COVID19 - SocDM2022.pdf
file_size: 1183339
relation: main_file
success: 1
file_date_updated: 2023-02-14T07:58:26Z
has_accepted_license: '1'
isi: 1
language:
- iso: eng
month: '02'
oa: 1
oa_version: Submitted Version
publication: 2022 IEEE International Conference on Data Mining Workshops
publication_identifier:
eisbn:
- '9798350346091'
eissn:
- 2375-9259
publication_status: published
publisher: Institute of Electrical and Electronics Engineers
quality_controlled: '1'
status: public
title: Visual analytics of mobility network changes observed using mobile phone data
during COVID-19 pandemic
type: conference
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
year: '2023'
...
---
_id: '12563'
abstract:
- lang: eng
text: 'he approximate graph coloring problem, whose complexity is unresolved in
most cases, concerns finding a c-coloring of a graph that is promised to be k-colorable,
where c≥k. This problem naturally generalizes to promise graph homomorphism problems
and further to promise constraint satisfaction problems. The complexity of these
problems has recently been studied through an algebraic approach. In this paper,
we introduce two new techniques to analyze the complexity of promise CSPs: one
is based on topology and the other on adjunction. We apply these techniques, together
with the previously introduced algebraic approach, to obtain new unconditional
NP-hardness results for a significant class of approximate graph coloring and
promise graph homomorphism problems.'
acknowledgement: "Andrei Krokhin and Jakub Opršal were supported by the UK EPSRC grant
EP/R034516/1. Jakub Opršal has received funding from the European Union’s Horizon
2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement
No 101034413. Stanislav Živný was supported by a Royal Society University Research
Fellowship. This project has received funding from the European Research Council
(ERC) under the European Union’s Horizon 2020 research and innovation programme
(grant agreement No 714532). The paper re\x1Eects only the authors’ views and not
the views of the ERC or the European Commission. "
article_processing_charge: No
article_type: original
author:
- first_name: Andrei
full_name: Krokhin, Andrei
last_name: Krokhin
- first_name: Jakub
full_name: Opršal, Jakub
id: ec596741-c539-11ec-b829-c79322a91242
last_name: Opršal
orcid: 0000-0003-1245-3456
- first_name: Marcin
full_name: Wrochna, Marcin
last_name: Wrochna
- first_name: Stanislav
full_name: Živný, Stanislav
last_name: Živný
citation:
ama: Krokhin A, Opršal J, Wrochna M, Živný S. Topology and adjunction in promise
constraint satisfaction. SIAM Journal on Computing. 2023;52(1):38-79. doi:10.1137/20m1378223
apa: Krokhin, A., Opršal, J., Wrochna, M., & Živný, S. (2023). Topology and
adjunction in promise constraint satisfaction. SIAM Journal on Computing.
Society for Industrial & Applied Mathematics. https://doi.org/10.1137/20m1378223
chicago: Krokhin, Andrei, Jakub Opršal, Marcin Wrochna, and Stanislav Živný. “Topology
and Adjunction in Promise Constraint Satisfaction.” SIAM Journal on Computing.
Society for Industrial & Applied Mathematics, 2023. https://doi.org/10.1137/20m1378223.
ieee: A. Krokhin, J. Opršal, M. Wrochna, and S. Živný, “Topology and adjunction
in promise constraint satisfaction,” SIAM Journal on Computing, vol. 52,
no. 1. Society for Industrial & Applied Mathematics, pp. 38–79, 2023.
ista: Krokhin A, Opršal J, Wrochna M, Živný S. 2023. Topology and adjunction in
promise constraint satisfaction. SIAM Journal on Computing. 52(1), 38–79.
mla: Krokhin, Andrei, et al. “Topology and Adjunction in Promise Constraint Satisfaction.”
SIAM Journal on Computing, vol. 52, no. 1, Society for Industrial &
Applied Mathematics, 2023, pp. 38–79, doi:10.1137/20m1378223.
short: A. Krokhin, J. Opršal, M. Wrochna, S. Živný, SIAM Journal on Computing 52
(2023) 38–79.
date_created: 2023-02-16T07:03:52Z
date_published: 2023-01-01T00:00:00Z
date_updated: 2023-08-01T13:11:30Z
day: '01'
department:
- _id: UlWa
doi: 10.1137/20m1378223
ec_funded: 1
external_id:
arxiv:
- '2003.11351'
isi:
- '000955000000001'
intvolume: ' 52'
isi: 1
issue: '1'
keyword:
- General Mathematics
- General Computer Science
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2003.11351
month: '01'
oa: 1
oa_version: Preprint
page: 38-79
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
call_identifier: H2020
grant_number: '101034413'
name: 'IST-BRIDGE: International postdoctoral program'
publication: SIAM Journal on Computing
publication_identifier:
eissn:
- 1095-7111
issn:
- 0097-5397
publication_status: published
publisher: Society for Industrial & Applied Mathematics
quality_controlled: '1'
scopus_import: '1'
status: public
title: Topology and adjunction in promise constraint satisfaction
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 52
year: '2023'
...
---
_id: '12545'
abstract:
- lang: eng
text: We study active surface wetting using a minimal model of bacteria that takes
into account the intrinsic motility diversity of living matter. A mixture of “fast”
and “slow” self-propelled Brownian particles is considered in the presence of
a wall. The evolution of the wetting layer thickness shows an overshoot before
stationarity and its composition evolves in two stages, equilibrating after a
slow elimination of excess particles. Nonmonotonic evolutions are shown to arise
from delayed avalanches towards the dilute phase combined with the emergence of
a transient particle front.
acknowledgement: 'MR-V and RS are supported by Fondecyt Grant No. 1220536 and ANID
– Millennium Science Initiative Program – NCN19 170D, Chile. PdC is supported by
grant #2021/10139-2, Sao Paulo Research Foundation (FAPESP), Brazil.'
article_number: '014608'
article_processing_charge: No
article_type: original
author:
- first_name: Mauricio Nicolas
full_name: Rojas Vega, Mauricio Nicolas
id: 441e7207-f91f-11ec-b67c-9e6fe3d8fd6d
last_name: Rojas Vega
- first_name: Pablo
full_name: De Castro, Pablo
last_name: De Castro
- first_name: Rodrigo
full_name: Soto, Rodrigo
last_name: Soto
citation:
ama: Rojas Vega MN, De Castro P, Soto R. Wetting dynamics by mixtures of fast and
slow self-propelled particles. Physical Review E. 2023;107(1). doi:10.1103/PhysRevE.107.014608
apa: Rojas Vega, M. N., De Castro, P., & Soto, R. (2023). Wetting dynamics by
mixtures of fast and slow self-propelled particles. Physical Review E.
American Physical Society. https://doi.org/10.1103/PhysRevE.107.014608
chicago: Rojas Vega, Mauricio Nicolas, Pablo De Castro, and Rodrigo Soto. “Wetting
Dynamics by Mixtures of Fast and Slow Self-Propelled Particles.” Physical Review
E. American Physical Society, 2023. https://doi.org/10.1103/PhysRevE.107.014608.
ieee: M. N. Rojas Vega, P. De Castro, and R. Soto, “Wetting dynamics by mixtures
of fast and slow self-propelled particles,” Physical Review E, vol. 107,
no. 1. American Physical Society, 2023.
ista: Rojas Vega MN, De Castro P, Soto R. 2023. Wetting dynamics by mixtures of
fast and slow self-propelled particles. Physical Review E. 107(1), 014608.
mla: Rojas Vega, Mauricio Nicolas, et al. “Wetting Dynamics by Mixtures of Fast
and Slow Self-Propelled Particles.” Physical Review E, vol. 107, no. 1,
014608, American Physical Society, 2023, doi:10.1103/PhysRevE.107.014608.
short: M.N. Rojas Vega, P. De Castro, R. Soto, Physical Review E 107 (2023).
date_created: 2023-02-12T23:00:59Z
date_published: 2023-01-24T00:00:00Z
date_updated: 2023-08-01T13:09:45Z
day: '24'
department:
- _id: GradSch
doi: 10.1103/PhysRevE.107.014608
external_id:
arxiv:
- '2301.01856'
isi:
- '000963909800006'
intvolume: ' 107'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2301.01856
month: '01'
oa: 1
oa_version: Preprint
publication: Physical Review E
publication_identifier:
eissn:
- 2470-0053
issn:
- 2470-0045
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Wetting dynamics by mixtures of fast and slow self-propelled particles
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 107
year: '2023'
...
---
_id: '12427'
abstract:
- lang: eng
text: 'Let k be a number field and X a smooth, geometrically integral quasi-projective
variety over k. For any linear algebraic group G over k and any G-torsor g : Z
→ X, we observe that if the étale-Brauer obstruction is the only one for strong
approximation off a finite set of places S for all twists of Z by elements in
H^1(k, G), then the étale-Brauer obstruction is the only one for strong approximation
off a finite set of places S for X. As an application, we show that any homogeneous
space of the form G/H with G a connected linear algebraic group over k satisfies
strong approximation off the infinite places with étale-Brauer obstruction, under
some compactness assumptions when k is totally real. We also prove more refined
strong approximation results for homogeneous spaces of the form G/H with G semisimple
simply connected and H finite, using the theory of torsors and descent.'
article_processing_charge: No
article_type: original
author:
- first_name: Francesca
full_name: Balestrieri, Francesca
id: 3ACCD756-F248-11E8-B48F-1D18A9856A87
last_name: Balestrieri
citation:
ama: Balestrieri F. Some remarks on strong approximation and applications to homogeneous
spaces of linear algebraic groups. Proceedings of the American Mathematical
Society. 2023;151(3):907-914. doi:10.1090/proc/15239
apa: Balestrieri, F. (2023). Some remarks on strong approximation and applications
to homogeneous spaces of linear algebraic groups. Proceedings of the American
Mathematical Society. American Mathematical Society. https://doi.org/10.1090/proc/15239
chicago: Balestrieri, Francesca. “Some Remarks on Strong Approximation and Applications
to Homogeneous Spaces of Linear Algebraic Groups.” Proceedings of the American
Mathematical Society. American Mathematical Society, 2023. https://doi.org/10.1090/proc/15239.
ieee: F. Balestrieri, “Some remarks on strong approximation and applications to
homogeneous spaces of linear algebraic groups,” Proceedings of the American
Mathematical Society, vol. 151, no. 3. American Mathematical Society, pp.
907–914, 2023.
ista: Balestrieri F. 2023. Some remarks on strong approximation and applications
to homogeneous spaces of linear algebraic groups. Proceedings of the American
Mathematical Society. 151(3), 907–914.
mla: Balestrieri, Francesca. “Some Remarks on Strong Approximation and Applications
to Homogeneous Spaces of Linear Algebraic Groups.” Proceedings of the American
Mathematical Society, vol. 151, no. 3, American Mathematical Society, 2023,
pp. 907–14, doi:10.1090/proc/15239.
short: F. Balestrieri, Proceedings of the American Mathematical Society 151 (2023)
907–914.
date_created: 2023-01-29T23:00:58Z
date_published: 2023-01-01T00:00:00Z
date_updated: 2023-08-01T13:03:32Z
day: '01'
department:
- _id: TiBr
doi: 10.1090/proc/15239
external_id:
isi:
- '000898440000001'
intvolume: ' 151'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://hal.science/hal-03013498/
month: '01'
oa: 1
oa_version: Preprint
page: 907-914
publication: Proceedings of the American Mathematical Society
publication_identifier:
eissn:
- 1088-6826
issn:
- 0002-9939
publication_status: published
publisher: American Mathematical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Some remarks on strong approximation and applications to homogeneous spaces
of linear algebraic groups
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 151
year: '2023'
...
---
_id: '12542'
abstract:
- lang: eng
text: In this issue of Neuron, Espinosa-Medina et al.1 present the TEMPO (Temporal
Encoding and Manipulation in a Predefined Order) system, which enables the marking
and genetic manipulation of sequentially generated cell lineages in vertebrate
species in vivo.
article_processing_charge: No
article_type: letter_note
author:
- first_name: Ana
full_name: Villalba Requena, Ana
id: 68cb85a0-39f7-11eb-9559-9aaab4f6a247
last_name: Villalba Requena
orcid: 0000-0002-5615-5277
- first_name: Simon
full_name: Hippenmeyer, Simon
id: 37B36620-F248-11E8-B48F-1D18A9856A87
last_name: Hippenmeyer
orcid: 0000-0003-2279-1061
citation:
ama: Villalba Requena A, Hippenmeyer S. Going back in time with TEMPO. Neuron.
2023;111(3):291-293. doi:10.1016/j.neuron.2023.01.006
apa: Villalba Requena, A., & Hippenmeyer, S. (2023). Going back in time with
TEMPO. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2023.01.006
chicago: Villalba Requena, Ana, and Simon Hippenmeyer. “Going Back in Time with
TEMPO.” Neuron. Elsevier, 2023. https://doi.org/10.1016/j.neuron.2023.01.006.
ieee: A. Villalba Requena and S. Hippenmeyer, “Going back in time with TEMPO,” Neuron,
vol. 111, no. 3. Elsevier, pp. 291–293, 2023.
ista: Villalba Requena A, Hippenmeyer S. 2023. Going back in time with TEMPO. Neuron.
111(3), 291–293.
mla: Villalba Requena, Ana, and Simon Hippenmeyer. “Going Back in Time with TEMPO.”
Neuron, vol. 111, no. 3, Elsevier, 2023, pp. 291–93, doi:10.1016/j.neuron.2023.01.006.
short: A. Villalba Requena, S. Hippenmeyer, Neuron 111 (2023) 291–293.
date_created: 2023-02-12T23:00:58Z
date_published: 2023-02-01T00:00:00Z
date_updated: 2023-08-01T13:10:27Z
day: '01'
department:
- _id: SiHi
doi: 10.1016/j.neuron.2023.01.006
external_id:
isi:
- '000994473300001'
intvolume: ' 111'
isi: 1
issue: '3'
language:
- iso: eng
month: '02'
oa_version: None
page: 291-293
publication: Neuron
publication_identifier:
eissn:
- 1097-4199
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Going back in time with TEMPO
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 111
year: '2023'
...