---
_id: '15414'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: Schryen G. Integrating Management Science into the HPC Research Ecosystem.
Communications of the ACM. 2020;63(9):35-37.
apa: Schryen, G. (2020). Integrating Management Science into the HPC Research Ecosystem.
Communications of the ACM, 63(9), 35–37.
bibtex: '@article{Schryen_2020, title={Integrating Management Science into the HPC
Research Ecosystem}, volume={63}, number={9}, journal={Communications of the ACM},
author={Schryen, Guido}, year={2020}, pages={35–37} }'
chicago: 'Schryen, Guido. “Integrating Management Science into the HPC Research
Ecosystem.” Communications of the ACM 63, no. 9 (2020): 35–37.'
ieee: G. Schryen, “Integrating Management Science into the HPC Research Ecosystem,”
Communications of the ACM, vol. 63, no. 9, pp. 35–37, 2020.
mla: Schryen, Guido. “Integrating Management Science into the HPC Research Ecosystem.”
Communications of the ACM, vol. 63, no. 9, 2020, pp. 35–37.
short: G. Schryen, Communications of the ACM 63 (2020) 35–37.
date_created: 2019-12-28T14:27:44Z
date_updated: 2022-01-06T06:52:25Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2019-12-28T14:30:03Z
date_updated: 2020-03-05T10:36:48Z
file_id: '15415'
file_name: Bringing HPC to management science - Web version.pdf
file_size: 186658
relation: main_file
file_date_updated: 2020-03-05T10:36:48Z
has_accepted_license: '1'
intvolume: ' 63'
issue: '9'
language:
- iso: eng
oa: '1'
page: 35 - 37
publication: Communications of the ACM
status: public
title: Integrating Management Science into the HPC Research Ecosystem
type: journal_article
user_id: '61579'
volume: 63
year: '2020'
...
---
_id: '15490'
author:
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: Elmar
full_name: Baumhögger, Elmar
id: '15164'
last_name: Baumhögger
- first_name: Torben
full_name: Rüther, Torben
id: '76950'
last_name: Rüther
- first_name: Jan
full_name: Gierse, Jan
id: '28610'
last_name: Gierse
- first_name: Thomas
full_name: Tröster, Thomas
id: '553'
last_name: Tröster
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: 'Claes L, Baumhögger E, Rüther T, Gierse J, Tröster T, Henning B. Reduction
of systematic measurement deviation in acoustic absorption measurement systems.
In: Fortschritte Der Akustik - DAGA 2020. ; 2020:1077-1080.'
apa: Claes, L., Baumhögger, E., Rüther, T., Gierse, J., Tröster, T., & Henning,
B. (2020). Reduction of systematic measurement deviation in acoustic absorption
measurement systems. Fortschritte Der Akustik - DAGA 2020, 1077–1080.
bibtex: '@inproceedings{Claes_Baumhögger_Rüther_Gierse_Tröster_Henning_2020, title={Reduction
of systematic measurement deviation in acoustic absorption measurement systems},
booktitle={Fortschritte der Akustik - DAGA 2020}, author={Claes, Leander and Baumhögger,
Elmar and Rüther, Torben and Gierse, Jan and Tröster, Thomas and Henning, Bernd},
year={2020}, pages={1077–1080} }'
chicago: Claes, Leander, Elmar Baumhögger, Torben Rüther, Jan Gierse, Thomas Tröster,
and Bernd Henning. “Reduction of Systematic Measurement Deviation in Acoustic
Absorption Measurement Systems.” In Fortschritte Der Akustik - DAGA 2020,
1077–80, 2020.
ieee: L. Claes, E. Baumhögger, T. Rüther, J. Gierse, T. Tröster, and B. Henning,
“Reduction of systematic measurement deviation in acoustic absorption measurement
systems,” in Fortschritte der Akustik - DAGA 2020, 2020, pp. 1077–1080.
mla: Claes, Leander, et al. “Reduction of Systematic Measurement Deviation in Acoustic
Absorption Measurement Systems.” Fortschritte Der Akustik - DAGA 2020,
2020, pp. 1077–80.
short: 'L. Claes, E. Baumhögger, T. Rüther, J. Gierse, T. Tröster, B. Henning, in:
Fortschritte Der Akustik - DAGA 2020, 2020, pp. 1077–1080.'
date_created: 2020-01-10T16:09:17Z
date_updated: 2022-01-06T06:52:27Z
ddc:
- '620'
department:
- _id: '49'
- _id: '155'
- _id: '149'
- _id: '219'
file:
- access_level: open_access
content_type: application/pdf
creator: leanderc
date_created: 2020-05-07T14:39:55Z
date_updated: 2020-05-08T14:57:48Z
file_id: '16942'
file_name: daga.pdf
file_size: 6699449
relation: main_file
file_date_updated: 2020-05-08T14:57:48Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
page: 1077-1080
publication: Fortschritte der Akustik - DAGA 2020
status: public
title: Reduction of systematic measurement deviation in acoustic absorption measurement
systems
type: conference
user_id: '11829'
year: '2020'
...
---
_id: '15513'
abstract:
- lang: eng
text: This interview is part of the special issue (01/2020) on “High Performance
Business Computing” to be published in the journal Business & Information Systems
Engineering. The interviewee Utz-Uwe Haus is Senior Research Engineer @ CRAY European
Research Lab (CERL)). A bio of him is included at the end of the interview.
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Natalia
full_name: Kliewer, Natalia
last_name: Kliewer
- first_name: Andreas
full_name: Fink, Andreas
last_name: Fink
citation:
ama: 'Schryen G, Kliewer N, Fink A. Interview with Utz-Uwe Haus on “High Performance
Computing in Economic Environments: Opportunities and Challenges". Business
& Information Systems Engineering. 2020;62(01/2020):21-23.'
apa: 'Schryen, G., Kliewer, N., & Fink, A. (2020). Interview with Utz-Uwe Haus
on “High Performance Computing in Economic Environments: Opportunities and Challenges".
Business & Information Systems Engineering, 62(01/2020), 21–23.'
bibtex: '@article{Schryen_Kliewer_Fink_2020, title={Interview with Utz-Uwe Haus
on “High Performance Computing in Economic Environments: Opportunities and Challenges"},
volume={62}, number={01/2020}, journal={Business & Information Systems Engineering},
author={Schryen, Guido and Kliewer, Natalia and Fink, Andreas}, year={2020}, pages={21–23}
}'
chicago: 'Schryen, Guido, Natalia Kliewer, and Andreas Fink. “Interview with Utz-Uwe
Haus on “High Performance Computing in Economic Environments: Opportunities and
Challenges".” Business & Information Systems Engineering 62, no. 01/2020
(2020): 21–23.'
ieee: 'G. Schryen, N. Kliewer, and A. Fink, “Interview with Utz-Uwe Haus on “High
Performance Computing in Economic Environments: Opportunities and Challenges",”
Business & Information Systems Engineering, vol. 62, no. 01/2020, pp.
21–23, 2020.'
mla: 'Schryen, Guido, et al. “Interview with Utz-Uwe Haus on “High Performance Computing
in Economic Environments: Opportunities and Challenges".” Business & Information
Systems Engineering, vol. 62, no. 01/2020, 2020, pp. 21–23.'
short: G. Schryen, N. Kliewer, A. Fink, Business & Information Systems Engineering
62 (2020) 21–23.
date_created: 2020-01-13T13:23:51Z
date_updated: 2022-01-06T06:52:28Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: closed
content_type: application/pdf
creator: hsiemes
date_created: 2020-01-13T13:22:27Z
date_updated: 2021-08-12T11:41:55Z
file_id: '15516'
file_name: Interview Utz-Uwe Haus (Cray) - BISE SI HPBC - Prepublication version.pdf
file_size: 82469
relation: main_file
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2021-08-12T11:41:21Z
date_updated: 2021-08-12T11:41:21Z
file_id: '23386'
file_name: Schryen2020_Article_InterviewWithUtz-UweHausOnHigh.pdf
file_size: 226595
relation: main_file
file_date_updated: 2021-08-12T11:41:55Z
has_accepted_license: '1'
intvolume: ' 62'
issue: 01/2020
language:
- iso: eng
oa: '1'
page: 21 - 23
publication: Business & Information Systems Engineering
status: public
title: 'Interview with Utz-Uwe Haus on “High Performance Computing in Economic Environments:
Opportunities and Challenges"'
type: journal_article
user_id: '61579'
volume: 62
year: '2020'
...
---
_id: '15022'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Schryen G. Parallel computational optimization in operations research: A new
integrative framework, literature review and research directions. European
Journal of Operational Research. 2020;287(1):1-18.'
apa: 'Schryen, G. (2020). Parallel computational optimization in operations research:
A new integrative framework, literature review and research directions. European
Journal of Operational Research, 287(1), 1–18.'
bibtex: '@article{Schryen_2020, title={Parallel computational optimization in operations
research: A new integrative framework, literature review and research directions},
volume={287}, number={1}, journal={European Journal of Operational Research},
publisher={Elsevier}, author={Schryen, Guido}, year={2020}, pages={1–18} }'
chicago: 'Schryen, Guido. “Parallel Computational Optimization in Operations Research:
A New Integrative Framework, Literature Review and Research Directions.” European
Journal of Operational Research 287, no. 1 (2020): 1–18.'
ieee: 'G. Schryen, “Parallel computational optimization in operations research:
A new integrative framework, literature review and research directions,” European
Journal of Operational Research, vol. 287, no. 1, pp. 1–18, 2020.'
mla: 'Schryen, Guido. “Parallel Computational Optimization in Operations Research:
A New Integrative Framework, Literature Review and Research Directions.” European
Journal of Operational Research, vol. 287, no. 1, Elsevier, 2020, pp. 1–18.'
short: G. Schryen, European Journal of Operational Research 287 (2020) 1–18.
date_created: 2019-11-18T11:11:00Z
date_updated: 2022-01-06T06:52:15Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2019-11-18T11:11:56Z
date_updated: 2020-03-05T10:37:02Z
file_id: '15023'
file_name: LR - OR and parallelization.pdf
file_size: 832170
relation: main_file
file_date_updated: 2020-03-05T10:37:02Z
has_accepted_license: '1'
intvolume: ' 287'
issue: '1'
language:
- iso: eng
oa: '1'
page: 1 - 18
publication: European Journal of Operational Research
publisher: Elsevier
status: public
title: 'Parallel computational optimization in operations research: A new integrative
framework, literature review and research directions'
type: journal_article
user_id: '61579'
volume: 287
year: '2020'
...
---
_id: '16197'
abstract:
- lang: eng
text: Nonlinear Pancharatnam–Berry phase metasurfaces facilitate the nontrivial
phase modulation for frequency conversion processes by leveraging photon‐spin
dependent nonlinear geometric‐phases. However, plasmonic metasurfaces show some
severe limitation for nonlinear frequency conversion due to the intrinsic high
ohmic loss and low damage threshold of plasmonic nanostructures. Here, the nonlinear
geometric‐phases associated with the third‐harmonic generation process occurring
in all‐dielectric metasurfaces is studied systematically, which are composed of
silicon nanofins with different in‐plane rotational symmetries. It is found that
the wave coupling among different field components of the resonant fundamental
field gives rise to the appearance of different nonlinear geometric‐phases of
the generated third‐harmonic signals. The experimental observations of the nonlinear
beam steering and nonlinear holography realized in this work by all‐dielectric
geometric‐phase metasurfaces are well explained with the developed theory. This
work offers a new physical picture to understand the nonlinear optical process
occurring at nanoscale dielectric resonators and will help in the design of nonlinear
metasurfaces with tailored phase properties.
article_number: '1902050'
article_type: original
author:
- first_name: Bingyi
full_name: Liu, Bingyi
last_name: Liu
- first_name: Basudeb
full_name: Sain, Basudeb
last_name: Sain
- first_name: Bernhard
full_name: Reineke, Bernhard
last_name: Reineke
- first_name: Ruizhe
full_name: Zhao, Ruizhe
last_name: Zhao
- first_name: Cedrik
full_name: Meier, Cedrik
id: '20798'
last_name: Meier
orcid: https://orcid.org/0000-0002-3787-3572
- first_name: Lingling
full_name: Huang, Lingling
last_name: Huang
- first_name: Yongyuan
full_name: Jiang, Yongyuan
last_name: Jiang
- first_name: Thomas
full_name: Zentgraf, Thomas
id: '30525'
last_name: Zentgraf
orcid: 0000-0002-8662-1101
citation:
ama: 'Liu B, Sain B, Reineke B, et al. Nonlinear Wavefront Control by Geometric-Phase
Dielectric Metasurfaces: Influence of Mode Field and Rotational Symmetry. Advanced
Optical Materials. 2020;8(9). doi:10.1002/adom.201902050'
apa: 'Liu, B., Sain, B., Reineke, B., Zhao, R., Meier, C., Huang, L., … Zentgraf,
T. (2020). Nonlinear Wavefront Control by Geometric-Phase Dielectric Metasurfaces:
Influence of Mode Field and Rotational Symmetry. Advanced Optical Materials,
8(9). https://doi.org/10.1002/adom.201902050'
bibtex: '@article{Liu_Sain_Reineke_Zhao_Meier_Huang_Jiang_Zentgraf_2020, title={Nonlinear
Wavefront Control by Geometric-Phase Dielectric Metasurfaces: Influence of Mode
Field and Rotational Symmetry}, volume={8}, DOI={10.1002/adom.201902050},
number={91902050}, journal={Advanced Optical Materials}, publisher={Wiley}, author={Liu,
Bingyi and Sain, Basudeb and Reineke, Bernhard and Zhao, Ruizhe and Meier, Cedrik
and Huang, Lingling and Jiang, Yongyuan and Zentgraf, Thomas}, year={2020} }'
chicago: 'Liu, Bingyi, Basudeb Sain, Bernhard Reineke, Ruizhe Zhao, Cedrik Meier,
Lingling Huang, Yongyuan Jiang, and Thomas Zentgraf. “Nonlinear Wavefront Control
by Geometric-Phase Dielectric Metasurfaces: Influence of Mode Field and Rotational
Symmetry.” Advanced Optical Materials 8, no. 9 (2020). https://doi.org/10.1002/adom.201902050.'
ieee: 'B. Liu et al., “Nonlinear Wavefront Control by Geometric-Phase Dielectric
Metasurfaces: Influence of Mode Field and Rotational Symmetry,” Advanced Optical
Materials, vol. 8, no. 9, 2020.'
mla: 'Liu, Bingyi, et al. “Nonlinear Wavefront Control by Geometric-Phase Dielectric
Metasurfaces: Influence of Mode Field and Rotational Symmetry.” Advanced Optical
Materials, vol. 8, no. 9, 1902050, Wiley, 2020, doi:10.1002/adom.201902050.'
short: B. Liu, B. Sain, B. Reineke, R. Zhao, C. Meier, L. Huang, Y. Jiang, T. Zentgraf,
Advanced Optical Materials 8 (2020).
date_created: 2020-02-28T17:29:17Z
date_updated: 2022-01-06T06:52:45Z
ddc:
- '530'
department:
- _id: '15'
- _id: '230'
- _id: '289'
doi: 10.1002/adom.201902050
file:
- access_level: closed
content_type: application/pdf
creator: zentgraf
date_created: 2020-02-28T17:37:38Z
date_updated: 2020-02-28T17:37:38Z
file_id: '16202'
file_name: adom.201902050.pdf
file_size: 2914923
relation: main_file
success: 1
file_date_updated: 2020-02-28T17:37:38Z
has_accepted_license: '1'
intvolume: ' 8'
issue: '9'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://onlinelibrary.wiley.com/doi/full/10.1002/adom.201902050
oa: '1'
project:
- _id: '53'
name: TRR 142
- _id: '56'
name: TRR 142 - Project Area C
- _id: '75'
name: TRR 142 - Subproject C5
publication: Advanced Optical Materials
publication_identifier:
issn:
- 2195-1071
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: 'Nonlinear Wavefront Control by Geometric-Phase Dielectric Metasurfaces: Influence
of Mode Field and Rotational Symmetry'
type: journal_article
user_id: '30525'
volume: 8
year: '2020'
...
---
_id: '16219'
abstract:
- lang: eng
text: "Network function virtualization (NFV) proposes\r\nto replace physical middleboxes
with more flexible virtual\r\nnetwork functions (VNFs). To dynamically adjust
to everchanging\r\ntraffic demands, VNFs have to be instantiated and\r\ntheir
allocated resources have to be adjusted on demand.\r\nDeciding the amount of allocated
resources is non-trivial.\r\nExisting optimization approaches often assume fixed
resource\r\nrequirements for each VNF instance. However, this can easily\r\nlead
to either waste of resources or bad service quality if too\r\nmany or too few
resources are allocated.\r\n\r\nTo solve this problem, we train machine learning
models\r\non real VNF data, containing measurements of performance\r\nand resource
requirements. For each VNF, the trained models\r\ncan then accurately predict
the required resources to handle\r\na certain traffic load. We integrate these
machine learning\r\nmodels into an algorithm for joint VNF scaling and placement\r\nand
evaluate their impact on resulting VNF placements. Our\r\nevaluation based on
real-world data shows that using suitable\r\nmachine learning models effectively
avoids over- and underallocation\r\nof resources, leading to up to 12 times lower
resource\r\nconsumption and better service quality with up to 4.5 times\r\nlower
total delay than using standard fixed resource allocation."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Narayanan Puthenpurayil
full_name: Satheeschandran, Narayanan Puthenpurayil
last_name: Satheeschandran
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Schneider SB, Satheeschandran NP, Peuster M, Karl H. Machine Learning for
Dynamic Resource Allocation in Network Function Virtualization. In: IEEE Conference
on Network Softwarization (NetSoft). IEEE; 2020.'
apa: 'Schneider, S. B., Satheeschandran, N. P., Peuster, M., & Karl, H. (2020).
Machine Learning for Dynamic Resource Allocation in Network Function Virtualization.
In IEEE Conference on Network Softwarization (NetSoft). Ghent, Belgium:
IEEE.'
bibtex: '@inproceedings{Schneider_Satheeschandran_Peuster_Karl_2020, title={Machine
Learning for Dynamic Resource Allocation in Network Function Virtualization},
booktitle={IEEE Conference on Network Softwarization (NetSoft)}, publisher={IEEE},
author={Schneider, Stefan Balthasar and Satheeschandran, Narayanan Puthenpurayil
and Peuster, Manuel and Karl, Holger}, year={2020} }'
chicago: Schneider, Stefan Balthasar, Narayanan Puthenpurayil Satheeschandran, Manuel
Peuster, and Holger Karl. “Machine Learning for Dynamic Resource Allocation in
Network Function Virtualization.” In IEEE Conference on Network Softwarization
(NetSoft). IEEE, 2020.
ieee: S. B. Schneider, N. P. Satheeschandran, M. Peuster, and H. Karl, “Machine
Learning for Dynamic Resource Allocation in Network Function Virtualization,”
in IEEE Conference on Network Softwarization (NetSoft), Ghent, Belgium,
2020.
mla: Schneider, Stefan Balthasar, et al. “Machine Learning for Dynamic Resource
Allocation in Network Function Virtualization.” IEEE Conference on Network
Softwarization (NetSoft), IEEE, 2020.
short: 'S.B. Schneider, N.P. Satheeschandran, M. Peuster, H. Karl, in: IEEE Conference
on Network Softwarization (NetSoft), IEEE, 2020.'
conference:
location: Ghent, Belgium
name: IEEE Conference on Network Softwarization (NetSoft)
date_created: 2020-03-03T11:42:22Z
date_updated: 2022-01-06T06:52:46Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2020-03-03T11:42:16Z
date_updated: 2020-03-03T11:42:16Z
file_id: '16220'
file_name: ris_preprint.pdf
file_size: 476590
relation: main_file
file_date_updated: 2020-03-03T11:42:16Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IEEE Conference on Network Softwarization (NetSoft)
publisher: IEEE
status: public
title: Machine Learning for Dynamic Resource Allocation in Network Function Virtualization
type: conference
user_id: '35343'
year: '2020'
...
---
_id: '16249'
abstract:
- lang: eng
text: Timing plays a crucial role in the context of information security investments.
We regard timing in two dimensions, namely the time of announcement in relation
to the time of investment and the time of announcement in relation to the time
of a fundamental security incident. The financial value of information security
investments is assessed by examining the relationship between the investment announcements
and their stock market reaction focusing on the two time dimensions. Using an
event study methodology, we found that both dimensions influence the stock market
return of the investing organization. Our results indicate that (1) after fundamental
security incidents in a given industry, the stock price will react more positively
to a firm’s announcement of actual information security investments than to announcements
of the intention to invest; (2) the stock price will react more positively to
a firm’s announcements of the intention to invest after the fundamental security
incident compared to before; and (3) the stock price will react more positively
to a firm’s announcements of actual information security investments after the
fundamental security incident compared to before. Overall, the lowest abnormal
return can be expected when the intention to invest is announced before a fundamental
information security incident and the highest return when actual investing after
a fundamental information security incident in the respective industry.
author:
- first_name: Eva
full_name: Szubartowicz, Eva
last_name: Szubartowicz
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Szubartowicz E, Schryen G. Timing in Information Security: An Event Study
on the Impact of Information Security Investment Announcements. Journal of
Information System Security. 2020;16(1):3-31.'
apa: 'Szubartowicz, E., & Schryen, G. (2020). Timing in Information Security:
An Event Study on the Impact of Information Security Investment Announcements.
Journal of Information System Security, 16(1), 3–31.'
bibtex: '@article{Szubartowicz_Schryen_2020, title={Timing in Information Security:
An Event Study on the Impact of Information Security Investment Announcements},
volume={16}, number={1}, journal={Journal of Information System Security}, publisher={Information
Institute Publishing, Washington DC, USA}, author={Szubartowicz, Eva and Schryen,
Guido}, year={2020}, pages={3–31} }'
chicago: 'Szubartowicz, Eva, and Guido Schryen. “Timing in Information Security:
An Event Study on the Impact of Information Security Investment Announcements.”
Journal of Information System Security 16, no. 1 (2020): 3–31.'
ieee: 'E. Szubartowicz and G. Schryen, “Timing in Information Security: An Event
Study on the Impact of Information Security Investment Announcements,” Journal
of Information System Security, vol. 16, no. 1, pp. 3–31, 2020.'
mla: 'Szubartowicz, Eva, and Guido Schryen. “Timing in Information Security: An
Event Study on the Impact of Information Security Investment Announcements.” Journal
of Information System Security, vol. 16, no. 1, Information Institute Publishing,
Washington DC, USA, 2020, pp. 3–31.'
short: E. Szubartowicz, G. Schryen, Journal of Information System Security 16 (2020)
3–31.
date_created: 2020-03-05T10:29:00Z
date_updated: 2022-01-06T06:52:47Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2020-03-05T10:26:11Z
date_updated: 2020-03-05T10:35:49Z
file_id: '16250'
file_name: Timing in Information Security - JISSEC format PREPUBLICATION.pdf
file_size: 478056
relation: main_file
file_date_updated: 2020-03-05T10:35:49Z
has_accepted_license: '1'
intvolume: ' 16'
issue: '1'
keyword:
- Event Study
- Information Security
- Investment Announcements
- Stock Price Reaction
- Value of Information Security Investments
language:
- iso: eng
oa: '1'
page: 3 - 31
publication: Journal of Information System Security
publisher: Information Institute Publishing, Washington DC, USA
status: public
title: 'Timing in Information Security: An Event Study on the Impact of Information
Security Investment Announcements'
type: journal_article
user_id: '61579'
volume: 16
year: '2020'
...
---
_id: '16285'
abstract:
- lang: eng
text: To decide in which part of town to open stores, high street retailers
consult statistical data on customers and cities, but they cannot analyze their
customers’ shopping behavior and geospatial features of a city due to missing
data. While previous research has proposed recommendation systems and
decision aids that address this type of decision problem – including factory
location and assortment planning – there currently is no design knowledge
available to prescribe the design of city center area recommendation systems
(CCARS). We set out to design a software prototype considering local
customers’ shopping interests and geospatial data on their shopping trips for
retail site selection. With real data on 500 customers and 1,100 shopping trips,
we demonstrate and evaluate our IT artifact. Our results illustrate how retailers
and public town center managers can use CCARS for spatial location selection,
growing retailers’ profits and a city center’s attractiveness for its citizens.
author:
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Carsten Ingo
full_name: Berendes, Carsten Ingo
id: '53344'
last_name: Berendes
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
citation:
ama: 'zur Heiden P, Berendes CI, Beverungen D. Designing City Center Area Recommendation
Systems . In: Proceedings of the 15th International Conference on Wirtschaftsinformatik.
Potsdam; 2020. doi:doi.org/10.30844/wi_2020_e1-heiden'
apa: zur Heiden, P., Berendes, C. I., & Beverungen, D. (2020). Designing City
Center Area Recommendation Systems . In Proceedings of the 15th International
Conference on Wirtschaftsinformatik. Potsdam. https://doi.org/doi.org/10.30844/wi_2020_e1-heiden
bibtex: '@inproceedings{zur Heiden_Berendes_Beverungen_2020, place={Potsdam}, title={Designing
City Center Area Recommendation Systems }, DOI={doi.org/10.30844/wi_2020_e1-heiden},
booktitle={Proceedings of the 15th International Conference on Wirtschaftsinformatik},
author={zur Heiden, Philipp and Berendes, Carsten Ingo and Beverungen, Daniel},
year={2020} }'
chicago: Heiden, Philipp zur, Carsten Ingo Berendes, and Daniel Beverungen. “Designing
City Center Area Recommendation Systems .” In Proceedings of the 15th International
Conference on Wirtschaftsinformatik. Potsdam, 2020. https://doi.org/doi.org/10.30844/wi_2020_e1-heiden.
ieee: P. zur Heiden, C. I. Berendes, and D. Beverungen, “Designing City Center Area
Recommendation Systems ,” in Proceedings of the 15th International Conference
on Wirtschaftsinformatik, Potsdam, 2020.
mla: zur Heiden, Philipp, et al. “Designing City Center Area Recommendation Systems
.” Proceedings of the 15th International Conference on Wirtschaftsinformatik,
2020, doi:doi.org/10.30844/wi_2020_e1-heiden.
short: 'P. zur Heiden, C.I. Berendes, D. Beverungen, in: Proceedings of the 15th
International Conference on Wirtschaftsinformatik, Potsdam, 2020.'
conference:
end_date: 2020-03-11
location: Potsdam
name: 15th International Conference on Wirtschaftsinformatik
start_date: 2020-03-07
date_created: 2020-03-13T07:05:24Z
date_updated: 2022-01-06T06:52:48Z
ddc:
- '000'
department:
- _id: '526'
doi: doi.org/10.30844/wi_2020_e1-heiden
file:
- access_level: closed
content_type: application/pdf
creator: pzh
date_created: 2020-03-13T06:58:54Z
date_updated: 2020-03-13T06:58:54Z
file_id: '16286'
file_name: E1_City_recommendations_Master_final.pdf
file_size: 1370273
relation: main_file
success: 1
file_date_updated: 2020-03-13T06:58:54Z
has_accepted_license: '1'
keyword:
- Town Center Management
- High Street Retail
- Recommender Systems
- Geospatial Recommendations
- Design Science Research
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://library.gito.de/open-access-pdf/E1_City_recommendations_Master_final.pdf
oa: '1'
place: Potsdam
project:
- _id: '35'
grant_number: 02K15A073
name: Interaktive Einkaufserlebnisse in Innenstädten durch digitale Dienstleistungen
publication: Proceedings of the 15th International Conference on Wirtschaftsinformatik
publication_status: published
quality_controlled: '1'
status: public
title: 'Designing City Center Area Recommendation Systems '
type: conference
user_id: '64394'
year: '2020'
...
---
_id: '16290'
abstract:
- lang: eng
text: The control of complex systems is of critical importance in many branches
of science, engineering, and industry, many of which are governed by nonlinear
partial differential equations. Controlling an unsteady fluid flow is particularly
important, as flow control is a key enabler for technologies in energy (e.g.,
wind, tidal, and combustion), transportation (e.g., planes, trains, and automobiles),
security (e.g., tracking airborne contamination), and health (e.g., artificial
hearts and artificial respiration). However, the high-dimensional, nonlinear,
and multi-scale dynamics make real-time feedback control infeasible. Fortunately,
these high- dimensional systems exhibit dominant, low-dimensional patterns of
activity that can be exploited for effective control in the sense that knowledge
of the entire state of a system is not required. Advances in machine learning
have the potential to revolutionize flow control given its ability to extract
principled, low-rank feature spaces characterizing such complex systems.We present
a novel deep learning modelpredictive control framework that exploits low-rank
features of the flow in order to achieve considerable improvements to control
performance. Instead of predicting the entire fluid state, we use a recurrent
neural network (RNN) to accurately predict the control relevant quantities of
the system, which are then embedded into an MPC framework to construct a feedback
loop. In order to lower the data requirements and to improve the prediction accuracy
and thus the control performance, incoming sensor data are used to update the
RNN online. The results are validated using varying fluid flow examples of increasing
complexity.
article_type: original
author:
- first_name: Katharina
full_name: Bieker, Katharina
id: '32829'
last_name: Bieker
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: https://orcid.org/0000-0002-3389-793X
- first_name: Steven L.
full_name: Brunton, Steven L.
last_name: Brunton
- first_name: J. Nathan
full_name: Kutz, J. Nathan
last_name: Kutz
- first_name: Michael
full_name: Dellnitz, Michael
last_name: Dellnitz
citation:
ama: Bieker K, Peitz S, Brunton SL, Kutz JN, Dellnitz M. Deep model predictive flow
control with limited sensor data and online learning. Theoretical and Computational
Fluid Dynamics. 2020;34:577–591. doi:10.1007/s00162-020-00520-4
apa: Bieker, K., Peitz, S., Brunton, S. L., Kutz, J. N., & Dellnitz, M. (2020).
Deep model predictive flow control with limited sensor data and online learning.
Theoretical and Computational Fluid Dynamics, 34, 577–591. https://doi.org/10.1007/s00162-020-00520-4
bibtex: '@article{Bieker_Peitz_Brunton_Kutz_Dellnitz_2020, title={Deep model predictive
flow control with limited sensor data and online learning}, volume={34}, DOI={10.1007/s00162-020-00520-4},
journal={Theoretical and Computational Fluid Dynamics}, author={Bieker, Katharina
and Peitz, Sebastian and Brunton, Steven L. and Kutz, J. Nathan and Dellnitz,
Michael}, year={2020}, pages={577–591} }'
chicago: 'Bieker, Katharina, Sebastian Peitz, Steven L. Brunton, J. Nathan Kutz,
and Michael Dellnitz. “Deep Model Predictive Flow Control with Limited Sensor
Data and Online Learning.” Theoretical and Computational Fluid Dynamics
34 (2020): 577–591. https://doi.org/10.1007/s00162-020-00520-4.'
ieee: K. Bieker, S. Peitz, S. L. Brunton, J. N. Kutz, and M. Dellnitz, “Deep model
predictive flow control with limited sensor data and online learning,” Theoretical
and Computational Fluid Dynamics, vol. 34, pp. 577–591, 2020.
mla: Bieker, Katharina, et al. “Deep Model Predictive Flow Control with Limited
Sensor Data and Online Learning.” Theoretical and Computational Fluid Dynamics,
vol. 34, 2020, pp. 577–591, doi:10.1007/s00162-020-00520-4.
short: K. Bieker, S. Peitz, S.L. Brunton, J.N. Kutz, M. Dellnitz, Theoretical and
Computational Fluid Dynamics 34 (2020) 577–591.
date_created: 2020-03-13T12:40:09Z
date_updated: 2022-01-06T06:52:48Z
department:
- _id: '101'
doi: 10.1007/s00162-020-00520-4
intvolume: ' 34'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/content/pdf/10.1007/s00162-020-00520-4.pdf
oa: '1'
page: 577–591
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Theoretical and Computational Fluid Dynamics
publication_identifier:
issn:
- 0935-4964
- 1432-2250
publication_status: published
status: public
title: Deep model predictive flow control with limited sensor data and online learning
type: journal_article
user_id: '47427'
volume: 34
year: '2020'
...
---
_id: '23568'
abstract:
- lang: eng
text: "We study the structure of power networks in consideration of local protests
against certain\r\npower lines (’not-in-my-backyard’). An application of a network
formation game is used to\r\ndetermine whether or not such protests arise. We
examine the existence of stable networks and\r\ntheir characteristics, when no
player wants to make an alteration. Stability within this game is\r\nonly reached
if each player is sufficiently connected to a power source but is not linked to
more\r\nplayers than necessary. In addition we introduce an algorithm that creates
a stable network."
author:
- first_name: Lukas
full_name: Block, Lukas
id: '22527'
last_name: Block
citation:
ama: Block L. Network Formation with NIMBY Constraints.; 2020.
apa: Block, L. (2020). Network formation with NIMBY constraints.
bibtex: '@book{Block_2020, title={Network formation with NIMBY constraints}, author={Block,
Lukas}, year={2020} }'
chicago: Block, Lukas. Network Formation with NIMBY Constraints, 2020.
ieee: L. Block, Network formation with NIMBY constraints. 2020.
mla: Block, Lukas. Network Formation with NIMBY Constraints. 2020.
short: L. Block, Network Formation with NIMBY Constraints, 2020.
date_created: 2021-08-30T10:05:18Z
date_updated: 2022-02-07T20:08:54Z
ddc:
- '330'
file:
- access_level: closed
content_type: application/pdf
creator: lblock
date_created: 2021-08-30T10:01:53Z
date_updated: 2021-08-30T10:01:53Z
file_id: '23569'
file_name: Network formation with NIMBY constraints.pdf
file_size: 169285
relation: main_file
success: 1
file_date_updated: 2021-08-30T10:01:53Z
has_accepted_license: '1'
jel:
- D85
- H54
- L52
keyword:
- Network formation
- NIMBY
- Power networks
- Nash stability
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
status: public
title: Network formation with NIMBY constraints
type: working_paper
user_id: '22527'
year: '2020'
...
---
_id: '30180'
author:
- first_name: Elena
full_name: Ficara, Elena
id: '35768'
last_name: Ficara
- first_name: 'Franca '
full_name: 'd''Agostini, Franca '
last_name: d'Agostini
citation:
ama: Ficara E, d’Agostini F. Perché celebrare Hegel? La sua dialettica è un brand,
il suo pensiero una febbre benefica. La Stampa. 2020.
apa: Ficara, E., & d’Agostini, F. (2020). Perché celebrare Hegel? La sua dialettica
è un brand, il suo pensiero una febbre benefica. La Stampa.
bibtex: '@article{Ficara_d’Agostini_2020, title={Perché celebrare Hegel? La sua
dialettica è un brand, il suo pensiero una febbre benefica}, journal={La Stampa},
author={Ficara, Elena and d’Agostini, Franca }, year={2020} }'
chicago: Ficara, Elena, and Franca d’Agostini. “Perché celebrare Hegel? La sua
dialettica è un brand, il suo pensiero una febbre benefica.” La Stampa,
2020.
ieee: E. Ficara and F. d’Agostini, “Perché celebrare Hegel? La sua dialettica è
un brand, il suo pensiero una febbre benefica,” La Stampa, 2020.
mla: Ficara, Elena, and Franca d’Agostini. “Perché celebrare Hegel? La sua dialettica
è un brand, il suo pensiero una febbre benefica.” La Stampa, 2020.
short: E. Ficara, F. d’Agostini, La Stampa (2020).
date_created: 2022-03-01T11:51:58Z
date_updated: 2022-03-01T12:02:34Z
language:
- iso: ita
main_file_link:
- open_access: '1'
url: https://www.lastampa.it/topnews/tempi-moderni/2020/08/27/news/perche-celebrare-hegel-la-suadialettica-e-un-brand-il-suo-pensiero-una-febbre-benefica-1.39233751
oa: '1'
publication: La Stampa
publication_date: 2020-08-26
status: public
title: Perché celebrare Hegel? La sua dialettica è un brand, il suo pensiero una febbre
benefica
type: newspaper_article
user_id: '35768'
year: '2020'
...
---
_id: '20143'
author:
- first_name: Mortaza
full_name: Otroshi, Mortaza
id: '71269'
last_name: Otroshi
orcid: 0000-0002-8652-9209
- first_name: Moritz
full_name: Rossel, Moritz
last_name: Rossel
- first_name: Gerson
full_name: Meschut, Gerson
id: '32056'
last_name: Meschut
orcid: 0000-0002-2763-1246
citation:
ama: Otroshi M, Rossel M, Meschut G. Stress state dependent damage modeling of self-pierce
riveting process simulation using GISSMO damage model. Journal of Advanced
Joining Processes. 2020;1. doi:10.1016/j.jajp.2020.100015
apa: Otroshi, M., Rossel, M., & Meschut, G. (2020). Stress state dependent damage
modeling of self-pierce riveting process simulation using GISSMO damage model.
Journal of Advanced Joining Processes, 1. https://doi.org/10.1016/j.jajp.2020.100015
bibtex: '@article{Otroshi_Rossel_Meschut_2020, title={Stress state dependent damage
modeling of self-pierce riveting process simulation using GISSMO damage model},
volume={1}, DOI={10.1016/j.jajp.2020.100015},
journal={Journal of Advanced Joining Processes}, publisher={Elsevier}, author={Otroshi,
Mortaza and Rossel, Moritz and Meschut, Gerson}, year={2020} }'
chicago: Otroshi, Mortaza, Moritz Rossel, and Gerson Meschut. “Stress State Dependent
Damage Modeling of Self-Pierce Riveting Process Simulation Using GISSMO Damage
Model.” Journal of Advanced Joining Processes 1 (2020). https://doi.org/10.1016/j.jajp.2020.100015.
ieee: 'M. Otroshi, M. Rossel, and G. Meschut, “Stress state dependent damage modeling
of self-pierce riveting process simulation using GISSMO damage model,” Journal
of Advanced Joining Processes, vol. 1, 2020, doi: 10.1016/j.jajp.2020.100015.'
mla: Otroshi, Mortaza, et al. “Stress State Dependent Damage Modeling of Self-Pierce
Riveting Process Simulation Using GISSMO Damage Model.” Journal of Advanced
Joining Processes, vol. 1, Elsevier, 2020, doi:10.1016/j.jajp.2020.100015.
short: M. Otroshi, M. Rossel, G. Meschut, Journal of Advanced Joining Processes
1 (2020).
date_created: 2020-10-20T14:49:15Z
date_updated: 2022-04-25T07:49:50Z
department:
- _id: '157'
doi: 10.1016/j.jajp.2020.100015
intvolume: ' 1'
keyword:
- Self-pierce riveting
- Ductile fracture
- Damage modeling
- GISSMO damage model
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication: Journal of Advanced Joining Processes
publisher: Elsevier
quality_controlled: '1'
status: public
title: Stress state dependent damage modeling of self-pierce riveting process simulation
using GISSMO damage model
type: journal_article
user_id: '71269'
volume: 1
year: '2020'
...
---
_id: '11946'
abstract:
- lang: eng
text: "Literature reviews (LRs) play an important role in the development of domain
knowledge in all fields. Yet, we observe a\r\nlack of insights into the activities
with which LRs actually develop knowledge. To address this important gap, we (1)\r\nderive
knowledge building activities from the extant literature on LRs, (2) suggest a
knowledge-based typology of LRs\r\nthat complements existing typologies, and (3)
apply the suggested typology in an empirical study that explores how LRs\r\nwith
different goals and methodologies have contributed to knowledge development. The
analysis of 240 LRs published\r\nin 40 renowned IS journals between 2000 and 2014
allows us to draw a detailed picture of knowledge development\r\nachieved by one
of the most important genres in the IS field. An overarching contribution of our
work is to unify extant\r\nconceptualizations of LRs by clarifying and illustrating
how LRs apply different methodologies in a range of knowledge\r\nbuilding activities
to achieve their goals with respect to theory."
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Alexander
full_name: Benlian, Alexander
last_name: Benlian
- first_name: Guy
full_name: Paré, Guy
last_name: Paré
citation:
ama: 'Schryen G, Wagner G, Benlian A, Paré G. A Knowledge Development Perspective
on Literature Reviews: Validation of a New Typology in the IS Field. Communications
of the AIS. 2020;46:134-186. doi:10.17705/1CAIS.04607'
apa: 'Schryen, G., Wagner, G., Benlian, A., & Paré, G. (2020). A Knowledge Development
Perspective on Literature Reviews: Validation of a New Typology in the IS Field.
Communications of the AIS, 46, 134–186. https://doi.org/10.17705/1CAIS.04607'
bibtex: '@article{Schryen_Wagner_Benlian_Paré_2020, title={A Knowledge Development
Perspective on Literature Reviews: Validation of a New Typology in the IS Field},
volume={46}, DOI={10.17705/1CAIS.04607},
journal={Communications of the AIS}, author={Schryen, Guido and Wagner, Gerit
and Benlian, Alexander and Paré, Guy}, year={2020}, pages={134–186} }'
chicago: 'Schryen, Guido, Gerit Wagner, Alexander Benlian, and Guy Paré. “A Knowledge
Development Perspective on Literature Reviews: Validation of a New Typology in
the IS Field.” Communications of the AIS 46 (2020): 134–86. https://doi.org/10.17705/1CAIS.04607.'
ieee: 'G. Schryen, G. Wagner, A. Benlian, and G. Paré, “A Knowledge Development
Perspective on Literature Reviews: Validation of a New Typology in the IS Field,”
Communications of the AIS, vol. 46, pp. 134–186, 2020, doi: 10.17705/1CAIS.04607.'
mla: 'Schryen, Guido, et al. “A Knowledge Development Perspective on Literature
Reviews: Validation of a New Typology in the IS Field.” Communications of the
AIS, vol. 46, 2020, pp. 134–86, doi:10.17705/1CAIS.04607.'
short: G. Schryen, G. Wagner, A. Benlian, G. Paré, Communications of the AIS 46
(2020) 134–186.
date_created: 2019-07-12T12:01:02Z
date_updated: 2022-06-10T06:38:58Z
ddc:
- '000'
department:
- _id: '277'
doi: 10.17705/1CAIS.04607
file:
- access_level: open_access
content_type: application/pdf
creator: schryen
date_created: 2020-02-26T18:12:29Z
date_updated: 2020-03-05T10:36:15Z
file_id: '16115'
file_name: RA-18-198.pdf
file_size: 1146830
relation: main_file
file_date_updated: 2020-03-05T10:36:15Z
has_accepted_license: '1'
intvolume: ' 46'
keyword:
- Literature review
- knowledge development
- knowledge building activities
- knowledge-based typology
- information systems research
language:
- iso: eng
oa: '1'
page: 134-186
publication: Communications of the AIS
publication_identifier:
issn:
- ' 1529-3181'
status: public
title: 'A Knowledge Development Perspective on Literature Reviews: Validation of a
New Typology in the IS Field'
type: journal_article
user_id: '72850'
volume: 46
year: '2020'
...
---
_id: '14985'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Natalia
full_name: Kliewer, Natalia
last_name: Kliewer
- first_name: Andreas
full_name: Fink, Andreas
last_name: Fink
citation:
ama: Schryen G, Kliewer N, Fink A. High Performance Business Computing. Business
& Information Systems Engineering. 2020;62(1):1-3. doi:10.1007/s12599-019-00622-2
apa: Schryen, G., Kliewer, N., & Fink, A. (2020). High Performance Business
Computing. Business & Information Systems Engineering, 62(1),
1–3. https://doi.org/10.1007/s12599-019-00622-2
bibtex: '@article{Schryen_Kliewer_Fink_2020, title={High Performance Business Computing},
volume={62}, DOI={10.1007/s12599-019-00622-2},
number={1}, journal={Business & Information Systems Engineering}, author={Schryen,
Guido and Kliewer, Natalia and Fink, Andreas}, year={2020}, pages={1–3} }'
chicago: 'Schryen, Guido, Natalia Kliewer, and Andreas Fink. “High Performance Business
Computing.” Business & Information Systems Engineering 62, no. 1 (2020):
1–3. https://doi.org/10.1007/s12599-019-00622-2.'
ieee: 'G. Schryen, N. Kliewer, and A. Fink, “High Performance Business Computing,”
Business & Information Systems Engineering, vol. 62, no. 1, pp. 1–3,
2020, doi: 10.1007/s12599-019-00622-2.'
mla: Schryen, Guido, et al. “High Performance Business Computing.” Business &
Information Systems Engineering, vol. 62, no. 1, 2020, pp. 1–3, doi:10.1007/s12599-019-00622-2.
short: G. Schryen, N. Kliewer, A. Fink, Business & Information Systems Engineering
62 (2020) 1–3.
date_created: 2019-11-14T10:49:39Z
date_updated: 2022-06-10T06:15:40Z
ddc:
- '000'
department:
- _id: '277'
doi: 10.1007/s12599-019-00622-2
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2019-11-14T10:52:41Z
date_updated: 2020-03-05T10:37:36Z
file_id: '14986'
file_name: Schryen2019_Article_HighPerformanceBusinessComputi.pdf
file_size: 161538
relation: main_file
file_date_updated: 2020-03-05T10:37:36Z
has_accepted_license: '1'
intvolume: ' 62'
issue: '1'
language:
- iso: eng
oa: '1'
page: 1-3
publication: Business & Information Systems Engineering
status: public
title: High Performance Business Computing
type: journal_article
user_id: '72850'
volume: 62
year: '2020'
...
---
_id: '32425'
author:
- first_name: Johanna
full_name: Tönsing, Johanna
id: '52678'
last_name: Tönsing
citation:
ama: 'Tönsing J. Animalische Epistemologie: Tierwahrheiten bei Franz Kafka am
Beispiel von “Ein Bericht für eine Akademie.”; 2020.'
apa: 'Tönsing, J. (2020). Animalische Epistemologie: Tierwahrheiten bei Franz
Kafka am Beispiel von “Ein Bericht für eine Akademie.”'
bibtex: '@book{Tönsing_2020, place={Paderborn}, title={Animalische Epistemologie:
Tierwahrheiten bei Franz Kafka am Beispiel von “Ein Bericht für eine Akademie”},
author={Tönsing, Johanna}, year={2020} }'
chicago: 'Tönsing, Johanna. Animalische Epistemologie: Tierwahrheiten bei Franz
Kafka am Beispiel von “Ein Bericht für eine Akademie.” Paderborn, 2020.'
ieee: 'J. Tönsing, Animalische Epistemologie: Tierwahrheiten bei Franz Kafka
am Beispiel von “Ein Bericht für eine Akademie.” Paderborn, 2020.'
mla: 'Tönsing, Johanna. Animalische Epistemologie: Tierwahrheiten bei Franz Kafka
am Beispiel von “Ein Bericht für eine Akademie.” 2020.'
short: 'J. Tönsing, Animalische Epistemologie: Tierwahrheiten bei Franz Kafka am
Beispiel von “Ein Bericht für eine Akademie,” Paderborn, 2020.'
date_created: 2022-07-26T08:55:17Z
date_updated: 2022-07-26T08:56:29Z
department:
- _id: '464'
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://digital.ub.uni-paderborn.de/urn/urn:nbn:de:hbz:466:2-37112
oa: '1'
place: Paderborn
status: public
title: 'Animalische Epistemologie: Tierwahrheiten bei Franz Kafka am Beispiel von
"Ein Bericht für eine Akademie"'
type: book
user_id: '14932'
year: '2020'
...
---
_id: '21294'
author:
- first_name: Ruth
full_name: Hagengruber, Ruth
id: '198'
last_name: Hagengruber
orcid: https://orcid.org/0000-0003-3360-6335
citation:
ama: Hagengruber R. Review Hagengruber Le Ru Émilie Du Châtelet Philosophe . H-France
Net. 2020;158.
apa: Hagengruber, R. (2020). Review Hagengruber Le Ru Émilie Du Châtelet Philosophe
. In H-France Net (Vol. 158).
bibtex: '@article{Hagengruber_2020, title={Review Hagengruber Le Ru Émilie Du Châtelet
Philosophe }, volume={158}, journal={H-France Net}, author={Hagengruber, Ruth},
year={2020} }'
chicago: Hagengruber, Ruth. “Review Hagengruber Le Ru Émilie Du Châtelet Philosophe
.” H-France Net, 2020.
ieee: R. Hagengruber, “Review Hagengruber Le Ru Émilie Du Châtelet Philosophe ,”
H-France Net, vol. 158. 2020.
mla: Hagengruber, Ruth. “Review Hagengruber Le Ru Émilie Du Châtelet Philosophe
.” H-France Net, vol. 158, 2020.
short: R. Hagengruber, H-France Net 158 (2020).
date_created: 2021-02-28T10:07:07Z
date_updated: 2022-11-25T19:16:11Z
department:
- _id: '519'
intvolume: ' 158'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://h-france.net/vol20reviews/vol20no158hagengruber.pdf
oa: '1'
publication: H-France Net
publication_date: Sept 20, 2020
publication_identifier:
issn:
- ISSN 1553-9172
quality_controlled: '1'
status: public
title: 'Review Hagengruber Le Ru Émilie Du Châtelet Philosophe '
type: review
user_id: '49063'
volume: 158
year: '2020'
...
---
_id: '17598'
author:
- first_name: Tomohiro
full_name: Nakatani, Tomohiro
last_name: Nakatani
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Keisuke
full_name: Kinoshita, Keisuke
last_name: Kinoshita
- first_name: Rintaro
full_name: Ikeshita, Rintaro
last_name: Ikeshita
- first_name: Marc
full_name: Delcroix, Marc
last_name: Delcroix
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Nakatani T, Boeddeker C, Kinoshita K, Ikeshita R, Delcroix M, Haeb-Umbach R.
Jointly optimal denoising, dereverberation, and source separation. IEEE/ACM
Transactions on Audio, Speech, and Language Processing. Published online 2020:1-1.
doi:10.1109/TASLP.2020.3013118
apa: Nakatani, T., Boeddeker, C., Kinoshita, K., Ikeshita, R., Delcroix, M., &
Haeb-Umbach, R. (2020). Jointly optimal denoising, dereverberation, and source
separation. IEEE/ACM Transactions on Audio, Speech, and Language Processing,
1–1. https://doi.org/10.1109/TASLP.2020.3013118
bibtex: '@article{Nakatani_Boeddeker_Kinoshita_Ikeshita_Delcroix_Haeb-Umbach_2020,
title={Jointly optimal denoising, dereverberation, and source separation}, DOI={10.1109/TASLP.2020.3013118},
journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing}, author={Nakatani,
Tomohiro and Boeddeker, Christoph and Kinoshita, Keisuke and Ikeshita, Rintaro
and Delcroix, Marc and Haeb-Umbach, Reinhold}, year={2020}, pages={1–1} }'
chicago: Nakatani, Tomohiro, Christoph Boeddeker, Keisuke Kinoshita, Rintaro Ikeshita,
Marc Delcroix, and Reinhold Haeb-Umbach. “Jointly Optimal Denoising, Dereverberation,
and Source Separation.” IEEE/ACM Transactions on Audio, Speech, and Language
Processing, 2020, 1–1. https://doi.org/10.1109/TASLP.2020.3013118.
ieee: 'T. Nakatani, C. Boeddeker, K. Kinoshita, R. Ikeshita, M. Delcroix, and R.
Haeb-Umbach, “Jointly optimal denoising, dereverberation, and source separation,”
IEEE/ACM Transactions on Audio, Speech, and Language Processing, pp. 1–1,
2020, doi: 10.1109/TASLP.2020.3013118.'
mla: Nakatani, Tomohiro, et al. “Jointly Optimal Denoising, Dereverberation, and
Source Separation.” IEEE/ACM Transactions on Audio, Speech, and Language Processing,
2020, pp. 1–1, doi:10.1109/TASLP.2020.3013118.
short: T. Nakatani, C. Boeddeker, K. Kinoshita, R. Ikeshita, M. Delcroix, R. Haeb-Umbach,
IEEE/ACM Transactions on Audio, Speech, and Language Processing (2020) 1–1.
date_created: 2020-08-05T06:16:56Z
date_updated: 2022-12-05T12:34:01Z
department:
- _id: '54'
doi: 10.1109/TASLP.2020.3013118
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2020/journal_2020_boeddeker.pdf
oa: '1'
page: 1-1
publication: IEEE/ACM Transactions on Audio, Speech, and Language Processing
status: public
title: Jointly optimal denoising, dereverberation, and source separation
type: journal_article
user_id: '40767'
year: '2020'
...
---
_id: '27394'
abstract:
- lang: eng
text: Der systematischen Reflexion von Praxiserfahrungen anhand von Theorie wird
in der Lehrerinnenbildung ein besonders hoher Stellenwert zugeschrieben. Auf Makroebene
wurde durch die Einführung des Praxissemesters in NRW auf der einen Seite ein
wichtiger Schritt zur stärkeren Verknüpfung von Schulpraxis und universitärer
Ausbildung getan. Auf der anderen Seite bestehen auf der Mirkoebene immer noch
Herausforderungen in der Relationierung von Theorie und Praxis für Lehramtsstudierende.
Hier heißt es für Dozierende, die Lehramtsstudierende während dieses Langzeitpraktikums
in universitären Veranstaltungen begleiten, tragfähige Seminarkonzepte zu entwickeln.
Der vorliegende Beitrag stellt eine Methode, die Theoriebasierte Fallreflexion
(TFR), mit zwei Umsetzungsvarianten vor. Damit wird eine konkrete Möglichkeit
dargelegt, wie in Begleitveranstaltungen zum Praxissemester zum einen eine systematische
theoretische Analyse und zum anderen die Generierung individueller Handlungsmöglichkeiten
für die konkrete Schulpraxis angeleitet werden kann. Des Weiteren werden insgesamt
410 verschiedene Rückmeldungen zur Methode von insgesamt N = 93 Studierenden,
welche die TFR im Rahmen einer halbtägigen Blockveranstaltung durchführten, mittels
der qualitativen Inhaltsanalyse nach Mayring (2015) kategorisiert. Die Studierenden
betonten in ihren Rückmeldungen besonders das Potential der TFR im Hinblick auf
ein tieferes Verständnis von theoretischen Inhalten sowie hinsichtlich der Möglichkeiten
zum intensiven Austausch mit Kommilitonen*innen sowie zur individuellen Reflexion
schulpraktischer Situationen.
article_type: original
author:
- first_name: Sabrina
full_name: Bonanati, Sabrina
last_name: Bonanati
- first_name: Petra
full_name: Westphal, Petra
id: '42377'
last_name: Westphal
- first_name: Christoph
full_name: Wiethoff, Christoph
id: '585'
last_name: Wiethoff
citation:
ama: Bonanati S, Westphal P, Wiethoff C. Theoriebasierte Fallreflexion (TFR) im
Praxissemester. Didaktische Umsetzung und Evaluation. . HLZ - Herausforderungen
Lehrer*innenbildung. 2020;3(1):461–479. doi:10.4119/HLZ-3142
apa: Bonanati, S., Westphal, P., & Wiethoff, C. (2020). Theoriebasierte Fallreflexion
(TFR) im Praxissemester. Didaktische Umsetzung und Evaluation. . HLZ - Herausforderungen
Lehrer*innenbildung, 3(1), 461–479. https://doi.org/10.4119/HLZ-3142
bibtex: '@article{Bonanati_Westphal_Wiethoff_2020, title={Theoriebasierte Fallreflexion
(TFR) im Praxissemester. Didaktische Umsetzung und Evaluation. }, volume={3},
DOI={10.4119/HLZ-3142}, number={1},
journal={HLZ - Herausforderungen Lehrer*innenbildung}, author={Bonanati, Sabrina
and Westphal, Petra and Wiethoff, Christoph}, year={2020}, pages={461–479} }'
chicago: 'Bonanati, Sabrina, Petra Westphal, and Christoph Wiethoff. “Theoriebasierte
Fallreflexion (TFR) im Praxissemester. Didaktische Umsetzung und Evaluation. .”
HLZ - Herausforderungen Lehrer*innenbildung 3, no. 1 (2020): 461–479. https://doi.org/10.4119/HLZ-3142.'
ieee: 'S. Bonanati, P. Westphal, and C. Wiethoff, “Theoriebasierte Fallreflexion
(TFR) im Praxissemester. Didaktische Umsetzung und Evaluation. ,” HLZ - Herausforderungen
Lehrer*innenbildung, vol. 3, no. 1, pp. 461–479, 2020, doi: 10.4119/HLZ-3142.'
mla: Bonanati, Sabrina, et al. “Theoriebasierte Fallreflexion (TFR) im Praxissemester.
Didaktische Umsetzung und Evaluation. .” HLZ - Herausforderungen Lehrer*innenbildung,
vol. 3, no. 1, 2020, pp. 461–479, doi:10.4119/HLZ-3142.
short: S. Bonanati, P. Westphal, C. Wiethoff, HLZ - Herausforderungen Lehrer*innenbildung
3 (2020) 461–479.
date_created: 2021-11-12T08:00:22Z
date_updated: 2022-01-13T20:31:39Z
department:
- _id: '36'
doi: 10.4119/HLZ-3142
extern: '1'
intvolume: ' 3'
issue: '1'
keyword:
- TFR
- Theoriebasierte Fallreflexion
- Praxissemester
- Begleitseminar
- Theorie-Praxis-Verzahnung
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.herausforderung-lehrerinnenbildung.de/index.php/hlz/article/view/3142
oa: '1'
page: 461–479
popular_science: '1'
publication: HLZ - Herausforderungen Lehrer*innenbildung
publication_status: published
status: public
title: 'Theoriebasierte Fallreflexion (TFR) im Praxissemester. Didaktische Umsetzung
und Evaluation. '
type: journal_article
user_id: '84570'
volume: 3
year: '2020'
...
---
_id: '29298'
abstract:
- lang: ger
text: "Die Themen „Big Data“, „Künstliche Intelligenz und „Data Science“ werden
seit einiger Zeit nicht nur in der breiten Öffentlichkeit kontrovers diskutiert,
sondern stellen für die Ausbildung in den IT- und IT-nahen Berufen schon heute
neue Herausforderungen dar, die in Zukunft durch die gesellschaftliche und technologische
Weiterentwicklung hin zu einer Datengesellschaft noch größer werden.\r\nAn dieser
Stelle stellt sich die Frage, welche Aspekte dieses großen Themenkomplexes für
Schule und Ausbildung von Wichtigkeit sind und wie diese Themen sinnstiftend und
gewinnbringend in die informatische Ausbildung in verschiedenen Bildungsgängen
integriert werden können. Im Rahmen des von uns im Jahr 2017 organisierten Symposiums
zum Thema „Data Science“ wurden für die Bildung relevante Aspekte erörtert, wodurch
als Kernelemente für den Unterricht Algorithmen der Künstlichen Intelligenz und
ihre Anwendung in Industrie und Gesellschaft, Explorationen von Big Data sowie
der Umgang mit eigenen Daten in sozialen Netzwerken herausgearbeitet wurden. Ziel
ist, aus diesen Themenbereichen sowohl ein umfassendes Curriculum als auch Module
für verschiedene Unterrichtsszenarien zu entwickeln und zu erproben. Durch diese
Materialien soll es Lehrkräften aus der Informatik, Mathematik oder Technik ermöglicht
werden, diese Themen auf Basis des Curriculums und der erprobten Unterrichtskonzepte
selbst zu unterrichten.\r\nHierfür wurde im Rahmen des Projekts ProDaBi (Projekt
Data Science und Big Data in der Schule, https://www.prodabi.de), initiiert von
der Telekom Stiftung, ein experimenteller Projektkurs entwickelt, den wir mit
Schüler:innen der Sekundarstufe II an der Universität Paderborn im Schuljahr 2018/19
durchführten. Dieser Kurs enthält neben einem Modul zur Exploration von Big Data
und einem weiteren Modul zum Maschinellen Lernen als Teil der Künstlichen Intelligenz
auch eine Projektphase, die es in Zusammenarbeit mit lokalen Unternehmen den Schüler:innen\r\nermöglicht,
das Erlernte in ein reales Data Science-Projekt einzubringen. Aus den Erfahrungen
dieses Projektkurses sowie den parallel durchgeführten Erprobungen einzelner Bausteine
auch mit beruflichen Schulen werden ab dem Schuljahr 2019/20 die hierfür verwendeten
Materialien weiterentwickelt und weiteren Kooperationspartnern zur Erprobung zur
Verfügung gestellt. Damit wurden zum Ende des Projekts nicht nur vollständige
Unterrichtsmaterialien, sondern auch ein umfassendes Curriculum entwickelt."
- lang: eng
text: "The topics ”Big Data”, “Artificial Intelligence” and “Data Science” are controversially
discussed among the general public, but they present new challenges for training
in IT and IT-related professions. These challenges will become more important
in the future as a result of further social and technological development towards
a data society.\r\nAt this point, the question arises as to which aspects of this
large complex of topics are important for school and education, and how these
topics can be integrated in a meaningful and profitable way into informatics education
in vocational education. In 2017, we organized a symposium towards the topic “Data
Science” and discussed relevant aspects for general and vocational education.
Algorithms of artificial intelligence and their application in industry and society,
explorations of Big Data as well as the handling of one's own data in social networks
were worked out as core elements for teaching. For this reason, our aim is to
develop a comprehensive curriculum on this topic from these subject areas and
to develop and test modules for various teaching scenarios in order to enable
teachers from computer science, mathematics or technology to teach these topics
themselves.\r\nFor this purpose, an experimental project course was developed
within the framework of the ProDaBi project (Project Data Science and Big Data
at School, https://www.prodabi.de), which we conducted with students from upper
secondary classes at the University of Paderborn in the school year 2018/19. In
this course we try to address all these aspects. This course consists of several
modules: One module has been designed to teach the exploration of Big Data. Another
module encompasses aspects of machine learning as part of artificial intelligence.
The course concludes in a project phase which, in cooperation with local companies,
will enable the students to apply what they have learned into a real Data Science
project. Based on the experiences of this project course and the parallel testing
of individual modules with vocational schools, we will further develop the material
and make it available to other cooperation partners for testing, so that not only
complete teaching materials but also a comprehensive curriculum will have been
developed until the end of the project."
author:
- first_name: Simone Anna
full_name: Opel, Simone Anna
id: '72932'
last_name: Opel
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
citation:
ama: 'Opel SA, Schlichtig M. Data Science und Big Data in der beruflichen Bildung
– Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II. In: Vollmer
T, Karges T, Richter T, Schlömer B, Schütt-Sayed S, eds. Sammelband der 27.
Fachtagung der BAG Berufliche Bildung. Vol 55. Berufsbildung, Arbeit und Innovation.
wbv Media GmbH & Co. KG; 2020:176-194. doi:https://doi.org/10.3278/6004722w'
apa: Opel, S. A., & Schlichtig, M. (2020). Data Science und Big Data in der
beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe
II. In T. Vollmer, T. Karges, T. Richter, B. Schlömer, & S. Schütt-Sayed (Eds.),
Sammelband der 27. Fachtagung der BAG Berufliche Bildung (Vol. 55, pp.
176–194). wbv Media GmbH & Co. KG. https://doi.org/10.3278/6004722w
bibtex: '@inproceedings{Opel_Schlichtig_2020, place={Bielefeld}, series={Berufsbildung,
Arbeit und Innovation}, title={Data Science und Big Data in der beruflichen Bildung
– Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II}, volume={55},
DOI={https://doi.org/10.3278/6004722w},
booktitle={Sammelband der 27. Fachtagung der BAG Berufliche Bildung}, publisher={wbv
Media GmbH & Co. KG}, author={Opel, Simone Anna and Schlichtig, Michael},
editor={Vollmer, Thomas and Karges, Torben and Richter, Tim and Schlömer, Britta
and Schütt-Sayed, Sören}, year={2020}, pages={176–194}, collection={Berufsbildung,
Arbeit und Innovation} }'
chicago: 'Opel, Simone Anna, and Michael Schlichtig. “Data Science und Big Data
in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für
die Sekundarstufe II.” In Sammelband der 27. Fachtagung der BAG Berufliche
Bildung, edited by Thomas Vollmer, Torben Karges, Tim Richter, Britta Schlömer,
and Sören Schütt-Sayed, 55:176–94. Berufsbildung, Arbeit und Innovation. Bielefeld:
wbv Media GmbH & Co. KG, 2020. https://doi.org/10.3278/6004722w.'
ieee: 'S. A. Opel and M. Schlichtig, “Data Science und Big Data in der beruflichen
Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II,”
in Sammelband der 27. Fachtagung der BAG Berufliche Bildung, Siegen, 2020,
vol. 55, pp. 176–194, doi: https://doi.org/10.3278/6004722w.'
mla: Opel, Simone Anna, and Michael Schlichtig. “Data Science und Big Data in der
beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe
II.” Sammelband der 27. Fachtagung der BAG Berufliche Bildung, edited by
Thomas Vollmer et al., vol. 55, wbv Media GmbH & Co. KG, 2020, pp. 176–94,
doi:https://doi.org/10.3278/6004722w.
short: 'S.A. Opel, M. Schlichtig, in: T. Vollmer, T. Karges, T. Richter, B. Schlömer,
S. Schütt-Sayed (Eds.), Sammelband der 27. Fachtagung der BAG Berufliche Bildung,
wbv Media GmbH & Co. KG, Bielefeld, 2020, pp. 176–194.'
conference:
end_date: 2019-03-13
location: Siegen
name: 20. Hochschultage Berufliche Bildung (HTBB) "Digitale Welt - Bildung und Arbeit
in Transformationsgesellschaften".
start_date: 2019-03-11
date_created: 2022-01-12T16:43:38Z
date_updated: 2022-01-12T17:04:10Z
department:
- _id: '67'
doi: https://doi.org/10.3278/6004722w
editor:
- first_name: Thomas
full_name: Vollmer, Thomas
last_name: Vollmer
- first_name: Torben
full_name: Karges, Torben
last_name: Karges
- first_name: Tim
full_name: Richter, Tim
last_name: Richter
- first_name: Britta
full_name: Schlömer, Britta
last_name: Schlömer
- first_name: Sören
full_name: Schütt-Sayed, Sören
last_name: Schütt-Sayed
intvolume: ' 55'
keyword:
- Berufsbildung
- vocational education
- Ausbildung
- training
- berufliche Weiterbildung
- advanced vocational education
- Digitalisierung
- digitalization
- Unterricht
- teaching
- Lehrmethode
- teaching method
- Interdisziplinarität
- interdisciplinarity
- Fachdidaktik
- subject didactics
- Curriculum
- curriculum
- gewerblich-technischer Beruf
- vocational/technical occupation
- Fachkraft
- specialist
- Qualifikationsanforderungen
- qualification requirements
- Kompetenz
- competence
- Lehrerbildung
- teacher training
- Bundesrepublik Deutschland
- Federal Republic of Germany
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://library.oapen.org/handle/20.500.12657/43933
oa: '1'
page: 176-194
place: Bielefeld
publication: Sammelband der 27. Fachtagung der BAG Berufliche Bildung
publication_status: published
publisher: wbv Media GmbH & Co. KG
series_title: Berufsbildung, Arbeit und Innovation
status: public
title: Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung
eines Projektkurses für die Sekundarstufe II
type: conference
user_id: '32312'
volume: 55
year: '2020'
...
---
_id: '29546'
author:
- first_name: Sofya
full_name: Maslovskaya, Sofya
id: '87909'
last_name: Maslovskaya
- first_name: Jean-Baptiste
full_name: Caillau, Jean-Baptiste
last_name: Caillau
- first_name: Walid
full_name: Djema, Walid
last_name: Djema
- first_name: Laetitia
full_name: Giraldi, Laetitia
last_name: Giraldi
- first_name: Jean-Luc
full_name: Jean-Luc, Jean-Luc
last_name: Jean-Luc
- first_name: Jean-Baptiste
full_name: Pomet, Jean-Baptiste
last_name: Pomet
citation:
ama: 'Maslovskaya S, Caillau J-B, Djema W, Giraldi L, Jean-Luc J-L, Pomet J-B. The
turnpike property in maximization of microbial metabolite production. In: ; 2020.'
apa: Maslovskaya, S., Caillau, J.-B., Djema, W., Giraldi, L., Jean-Luc, J.-L., &
Pomet, J.-B. (2020). The turnpike property in maximization of microbial metabolite
production. IFAC 2020 - 21rst IFAC World Congress.
bibtex: '@inproceedings{Maslovskaya_Caillau_Djema_Giraldi_Jean-Luc_Pomet_2020, title={The
turnpike property in maximization of microbial metabolite production}, author={Maslovskaya,
Sofya and Caillau, Jean-Baptiste and Djema, Walid and Giraldi, Laetitia and Jean-Luc,
Jean-Luc and Pomet, Jean-Baptiste}, year={2020} }'
chicago: Maslovskaya, Sofya, Jean-Baptiste Caillau, Walid Djema, Laetitia Giraldi,
Jean-Luc Jean-Luc, and Jean-Baptiste Pomet. “The Turnpike Property in Maximization
of Microbial Metabolite Production,” 2020.
ieee: S. Maslovskaya, J.-B. Caillau, W. Djema, L. Giraldi, J.-L. Jean-Luc, and J.-B.
Pomet, “The turnpike property in maximization of microbial metabolite production,”
presented at the IFAC 2020 - 21rst IFAC World Congress, 2020.
mla: Maslovskaya, Sofya, et al. The Turnpike Property in Maximization of Microbial
Metabolite Production. 2020.
short: 'S. Maslovskaya, J.-B. Caillau, W. Djema, L. Giraldi, J.-L. Jean-Luc, J.-B.
Pomet, in: 2020.'
conference:
name: IFAC 2020 - 21rst IFAC World Congress
date_created: 2022-01-26T13:26:36Z
date_updated: 2022-01-26T13:39:01Z
department:
- _id: '636'
extern: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://hal.archives-ouvertes.fr/hal-02916081/document
oa: '1'
quality_controlled: '1'
status: public
title: The turnpike property in maximization of microbial metabolite production
type: conference_abstract
user_id: '87909'
year: '2020'
...