---
_id: '62885'
author:
- first_name: Malin
full_name: Osnabrügge, Malin
id: '79748'
last_name: Osnabrügge
- first_name: Claudia
full_name: Tenberge, Claudia
id: '67302'
last_name: Tenberge
- first_name: Sabine
full_name: Fechner, Sabine
id: '54823'
last_name: Fechner
orcid: 0000-0001-5645-5870
citation:
ama: Osnabrügge M, Tenberge C, Fechner S. Artificial Intelligence in primary science
and technology education with a focus on implementation of AI in learning context
– Results of a Scoping Review.
apa: Osnabrügge, M., Tenberge, C., & Fechner, S. (n.d.). Artificial Intelligence
in primary science and technology education with a focus on implementation of
AI in learning context – Results of a Scoping Review. Pupils’ Attitudes Towards
Technology (PATT), Norrköping, Sweden.
bibtex: '@inproceedings{Osnabrügge_Tenberge_Fechner, title={Artificial Intelligence
in primary science and technology education with a focus on implementation of
AI in learning context – Results of a Scoping Review}, author={Osnabrügge, Malin
and Tenberge, Claudia and Fechner, Sabine} }'
chicago: Osnabrügge, Malin, Claudia Tenberge, and Sabine Fechner. “Artificial Intelligence
in Primary Science and Technology Education with a Focus on Implementation of
AI in Learning Context – Results of a Scoping Review,” n.d.
ieee: M. Osnabrügge, C. Tenberge, and S. Fechner, “Artificial Intelligence in primary
science and technology education with a focus on implementation of AI in learning
context – Results of a Scoping Review,” presented at the Pupils’ Attitudes Towards
Technology (PATT), Norrköping, Sweden.
mla: Osnabrügge, Malin, et al. Artificial Intelligence in Primary Science and
Technology Education with a Focus on Implementation of AI in Learning Context
– Results of a Scoping Review.
short: 'M. Osnabrügge, C. Tenberge, S. Fechner, in: n.d.'
conference:
end_date: 2026-06-18
location: Norrköping, Sweden
name: Pupils' Attitudes Towards Technology (PATT)
start_date: 2026-06-15
date_created: 2025-12-04T14:12:38Z
date_updated: 2025-12-13T23:56:03Z
department:
- _id: '386'
- _id: '588'
- _id: '33'
keyword:
- Artificial intelligence
- primary education
- science and technology education
language:
- iso: eng
publication_status: draft
quality_controlled: '1'
status: public
title: Artificial Intelligence in primary science and technology education with a
focus on implementation of AI in learning context – Results of a Scoping Review
type: conference
user_id: '54823'
year: '2026'
...
---
_id: '65032'
abstract:
- lang: eng
text: "Despite its status as a key enabling technology, the adoption of 5G in\r\nindustry
remains limited, mainly due to a lack of expertise, which can be addressed\r\nby
incorporating 5G training into vocational schools. Since Augmented Reality\r\n(AR)
faces similar challenges, it is used as the 5G application. This research aims\r\nto
determine the extent to which a learning unit using 5G and AR for collaborative\r\nwork
can increase the intention to use these technologies in the vocational setting\r\nand
gathers the factors that make up 5G acceptance. It is based on the Technology
Acceptance Model 2 (TAM2). The sample includes 23 industrial mechanics\r\nstudents
who participated in the developed learning unit. All items are scored on\r\nseven-tiered
Likert scales (0 “totally disagree”; 6 “totally agree”).\r\nThe results showed
a non-significant change in behavioural intention to use\r\n5G, with a mean of
4.95 (SD: 1.18) for the pre-test and 4.43 (SD: 1.68) for the posttest. The change
in intention to use AR did not change significantly either, from\r\n3.12 (SD:
1.38) at pre-test to 3.37 (SD: 1.16) at post-test. The factors Perceived\r\nUsefulness,
Image, and Relevance had the lowest mean scores, indicating areas for\r\ntargeted
improvement. The significant change in Output Quality ratings is likely to\r\nreflect
initial overestimation by students. The difference in Behavioural Intentions\r\nbetween
5G and AR suggests that AR may not be an effective technology for\r\nincreasing
5G adoption in educational contexts. One recommendation is to address\r\n5G in
the learning unit not only indirectly."
author:
- first_name: Johannes
full_name: Schäfers, Johannes
id: '68949'
last_name: Schäfers
- first_name: Katrin
full_name: Temmen, Katrin
id: '30086'
last_name: Temmen
citation:
ama: 'Schäfers J, Temmen K. The Influence of an Immersive-Collaborative Learning
Unit on the Technology Acceptance of 5G and AR of Industrial Mechanic Students.
In: Auer ME, Rüütmann T, eds. Proceedings of the 27th International Conference
on Interactive Collaborative Learning (ICL2024), Volume 4. Vol 1281. Lecture
Notes in Networks and Systems. Springer Nature Switzerland; 2025:84 – 91. doi:10.1007/978-3-031-83520-9_8'
apa: Schäfers, J., & Temmen, K. (2025). The Influence of an Immersive-Collaborative
Learning Unit on the Technology Acceptance of 5G and AR of Industrial Mechanic
Students. In M. E. Auer & T. Rüütmann (Eds.), Proceedings of the 27th International
Conference on Interactive Collaborative Learning (ICL2024), Volume 4 (Vol.
1281, pp. 84 – 91). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-83520-9_8
bibtex: '@inbook{Schäfers_Temmen_2025, place={Cham}, series={Lecture Notes in Networks
and Systems}, title={The Influence of an Immersive-Collaborative Learning Unit
on the Technology Acceptance of 5G and AR of Industrial Mechanic Students}, volume={1281},
DOI={10.1007/978-3-031-83520-9_8},
booktitle={Proceedings of the 27th International Conference on Interactive Collaborative
Learning (ICL2024), Volume 4}, publisher={Springer Nature Switzerland}, author={Schäfers,
Johannes and Temmen, Katrin}, editor={Auer, Michael E. and Rüütmann, Tiia}, year={2025},
pages={84 – 91}, collection={Lecture Notes in Networks and Systems} }'
chicago: 'Schäfers, Johannes, and Katrin Temmen. “The Influence of an Immersive-Collaborative
Learning Unit on the Technology Acceptance of 5G and AR of Industrial Mechanic
Students.” In Proceedings of the 27th International Conference on Interactive
Collaborative Learning (ICL2024), Volume 4, edited by Michael E. Auer and
Tiia Rüütmann, 1281:84 – 91. Lecture Notes in Networks and Systems. Cham: Springer
Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83520-9_8.'
ieee: 'J. Schäfers and K. Temmen, “The Influence of an Immersive-Collaborative Learning
Unit on the Technology Acceptance of 5G and AR of Industrial Mechanic Students,”
in Proceedings of the 27th International Conference on Interactive Collaborative
Learning (ICL2024), Volume 4, vol. 1281, M. E. Auer and T. Rüütmann, Eds.
Cham: Springer Nature Switzerland, 2025, pp. 84 – 91.'
mla: Schäfers, Johannes, and Katrin Temmen. “The Influence of an Immersive-Collaborative
Learning Unit on the Technology Acceptance of 5G and AR of Industrial Mechanic
Students.” Proceedings of the 27th International Conference on Interactive
Collaborative Learning (ICL2024), Volume 4, edited by Michael E. Auer and
Tiia Rüütmann, vol. 1281, Springer Nature Switzerland, 2025, pp. 84 – 91, doi:10.1007/978-3-031-83520-9_8.
short: 'J. Schäfers, K. Temmen, in: M.E. Auer, T. Rüütmann (Eds.), Proceedings of
the 27th International Conference on Interactive Collaborative Learning (ICL2024),
Volume 4, Springer Nature Switzerland, Cham, 2025, pp. 84 – 91.'
conference:
end_date: 2024-09-27
location: Tallinn
name: International Conference on Interactive Collaborative Learning
start_date: 2024-09-24
date_created: 2026-03-17T13:39:04Z
date_updated: 2026-03-17T13:49:57Z
doi: 10.1007/978-3-031-83520-9_8
editor:
- first_name: Michael E.
full_name: Auer, Michael E.
last_name: Auer
- first_name: Tiia
full_name: Rüütmann, Tiia
last_name: Rüütmann
intvolume: ' 1281'
keyword:
- 5G
- Key Technology
- TAM · Augmented Reality
- VET
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/chapter/10.1007/978-3-031-83520-9_8
page: 84 – 91
place: Cham
publication: Proceedings of the 27th International Conference on Interactive Collaborative
Learning (ICL2024), Volume 4
publication_identifier:
isbn:
- '9783031835193'
- '9783031835209'
issn:
- 2367-3370
- 2367-3389
publication_status: published
publisher: Springer Nature Switzerland
series_title: Lecture Notes in Networks and Systems
status: public
title: The Influence of an Immersive-Collaborative Learning Unit on the Technology
Acceptance of 5G and AR of Industrial Mechanic Students
type: book_chapter
user_id: '68949'
volume: 1281
year: '2025'
...
---
_id: '52686'
author:
- first_name: Qazi Arbab
full_name: Ahmed, Qazi Arbab
id: '72764'
last_name: Ahmed
orcid: 0000-0002-1837-2254
- first_name: Tobias
full_name: Wiersema, Tobias
id: '3118'
last_name: Wiersema
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: Ahmed QA, Wiersema T, Platzner M. Post-configuration Activation of Hardware
Trojans in FPGAs. Journal of Hardware and Systems Security. Published online
2024. doi:10.1007/s41635-024-00147-5
apa: Ahmed, Q. A., Wiersema, T., & Platzner, M. (2024). Post-configuration Activation
of Hardware Trojans in FPGAs. Journal of Hardware and Systems Security.
https://doi.org/10.1007/s41635-024-00147-5
bibtex: '@article{Ahmed_Wiersema_Platzner_2024, title={Post-configuration Activation
of Hardware Trojans in FPGAs}, DOI={10.1007/s41635-024-00147-5},
journal={Journal of Hardware and Systems Security}, publisher={Springer Science
and Business Media LLC}, author={Ahmed, Qazi Arbab and Wiersema, Tobias and Platzner,
Marco}, year={2024} }'
chicago: Ahmed, Qazi Arbab, Tobias Wiersema, and Marco Platzner. “Post-Configuration
Activation of Hardware Trojans in FPGAs.” Journal of Hardware and Systems Security,
2024. https://doi.org/10.1007/s41635-024-00147-5.
ieee: 'Q. A. Ahmed, T. Wiersema, and M. Platzner, “Post-configuration Activation
of Hardware Trojans in FPGAs,” Journal of Hardware and Systems Security,
2024, doi: 10.1007/s41635-024-00147-5.'
mla: Ahmed, Qazi Arbab, et al. “Post-Configuration Activation of Hardware Trojans
in FPGAs.” Journal of Hardware and Systems Security, Springer Science and
Business Media LLC, 2024, doi:10.1007/s41635-024-00147-5.
short: Q.A. Ahmed, T. Wiersema, M. Platzner, Journal of Hardware and Systems Security
(2024).
date_created: 2024-03-20T12:24:50Z
date_updated: 2024-03-20T12:31:36Z
department:
- _id: '78'
doi: 10.1007/s41635-024-00147-5
keyword:
- General Engineering
- Energy Engineering and Power Technology
language:
- iso: eng
publication: Journal of Hardware and Systems Security
publication_identifier:
issn:
- 2509-3428
- 2509-3436
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Post-configuration Activation of Hardware Trojans in FPGAs
type: journal_article
user_id: '72764'
year: '2024'
...
---
_id: '53213'
article_number: '101027'
author:
- first_name: Arman
full_name: Amiri, Arman
last_name: Amiri
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Hosein
full_name: Arman, Hosein
last_name: Arman
citation:
ama: Amiri A, Tavana M, Arman H. An Integrated Fuzzy Analytic Network Process and
Fuzzy Regression Method for Bitcoin Price Prediction. Internet of Things.
2024;25. doi:10.1016/j.iot.2023.101027
apa: Amiri, A., Tavana, M., & Arman, H. (2024). An Integrated Fuzzy Analytic
Network Process and Fuzzy Regression Method for Bitcoin Price Prediction. Internet
of Things, 25, Article 101027. https://doi.org/10.1016/j.iot.2023.101027
bibtex: '@article{Amiri_Tavana_Arman_2024, title={An Integrated Fuzzy Analytic Network
Process and Fuzzy Regression Method for Bitcoin Price Prediction}, volume={25},
DOI={10.1016/j.iot.2023.101027},
number={101027}, journal={Internet of Things}, publisher={Elsevier BV}, author={Amiri,
Arman and Tavana, Madjid and Arman, Hosein}, year={2024} }'
chicago: Amiri, Arman, Madjid Tavana, and Hosein Arman. “An Integrated Fuzzy Analytic
Network Process and Fuzzy Regression Method for Bitcoin Price Prediction.” Internet
of Things 25 (2024). https://doi.org/10.1016/j.iot.2023.101027.
ieee: 'A. Amiri, M. Tavana, and H. Arman, “An Integrated Fuzzy Analytic Network
Process and Fuzzy Regression Method for Bitcoin Price Prediction,” Internet
of Things, vol. 25, Art. no. 101027, 2024, doi: 10.1016/j.iot.2023.101027.'
mla: Amiri, Arman, et al. “An Integrated Fuzzy Analytic Network Process and Fuzzy
Regression Method for Bitcoin Price Prediction.” Internet of Things, vol.
25, 101027, Elsevier BV, 2024, doi:10.1016/j.iot.2023.101027.
short: A. Amiri, M. Tavana, H. Arman, Internet of Things 25 (2024).
date_created: 2024-04-04T13:34:26Z
date_updated: 2024-04-15T13:08:17Z
department:
- _id: '277'
doi: 10.1016/j.iot.2023.101027
intvolume: ' 25'
keyword:
- Management of Technology and Innovation
- Artificial Intelligence
- Computer Science Applications
- Hardware and Architecture
- Engineering (miscellaneous)
- Information Systems
- Computer Science (miscellaneous)
- Software
language:
- iso: eng
publication: Internet of Things
publication_identifier:
issn:
- 2542-6605
publication_status: published
publisher: Elsevier BV
status: public
title: An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for
Bitcoin Price Prediction
type: journal_article
user_id: '51811'
volume: 25
year: '2024'
...
---
_id: '53309'
author:
- first_name: Lukas
full_name: Hölsch, Lukas
last_name: Hölsch
- first_name: Anian
full_name: Brosch, Anian
id: '75779'
last_name: Brosch
orcid: 0000-0003-4871-1664
- first_name: Richard
full_name: Steckel, Richard
last_name: Steckel
- first_name: Tristan
full_name: Braun, Tristan
last_name: Braun
- first_name: Sebastian
full_name: Wendel, Sebastian
last_name: Wendel
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: Hölsch L, Brosch A, Steckel R, et al. Insights and Challenges of Co-Simulation-Based
Optimal Pulse Pattern Evaluation for Electric Drives. IEEE Transactions on
Energy Conversion. Published online 2024:1-12. doi:10.1109/tec.2024.3374962
apa: Hölsch, L., Brosch, A., Steckel, R., Braun, T., Wendel, S., Böcker, J., &
Wallscheid, O. (2024). Insights and Challenges of Co-Simulation-Based Optimal
Pulse Pattern Evaluation for Electric Drives. IEEE Transactions on Energy Conversion,
1–12. https://doi.org/10.1109/tec.2024.3374962
bibtex: '@article{Hölsch_Brosch_Steckel_Braun_Wendel_Böcker_Wallscheid_2024, title={Insights
and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric
Drives}, DOI={10.1109/tec.2024.3374962},
journal={IEEE Transactions on Energy Conversion}, publisher={Institute of Electrical
and Electronics Engineers (IEEE)}, author={Hölsch, Lukas and Brosch, Anian and
Steckel, Richard and Braun, Tristan and Wendel, Sebastian and Böcker, Joachim
and Wallscheid, Oliver}, year={2024}, pages={1–12} }'
chicago: Hölsch, Lukas, Anian Brosch, Richard Steckel, Tristan Braun, Sebastian
Wendel, Joachim Böcker, and Oliver Wallscheid. “Insights and Challenges of Co-Simulation-Based
Optimal Pulse Pattern Evaluation for Electric Drives.” IEEE Transactions on
Energy Conversion, 2024, 1–12. https://doi.org/10.1109/tec.2024.3374962.
ieee: 'L. Hölsch et al., “Insights and Challenges of Co-Simulation-Based
Optimal Pulse Pattern Evaluation for Electric Drives,” IEEE Transactions on
Energy Conversion, pp. 1–12, 2024, doi: 10.1109/tec.2024.3374962.'
mla: Hölsch, Lukas, et al. “Insights and Challenges of Co-Simulation-Based Optimal
Pulse Pattern Evaluation for Electric Drives.” IEEE Transactions on Energy
Conversion, Institute of Electrical and Electronics Engineers (IEEE), 2024,
pp. 1–12, doi:10.1109/tec.2024.3374962.
short: L. Hölsch, A. Brosch, R. Steckel, T. Braun, S. Wendel, J. Böcker, O. Wallscheid,
IEEE Transactions on Energy Conversion (2024) 1–12.
date_created: 2024-04-06T13:48:59Z
date_updated: 2024-06-13T11:03:00Z
department:
- _id: '52'
doi: 10.1109/tec.2024.3374962
keyword:
- Electrical and Electronic Engineering
- Energy Engineering and Power Technology
language:
- iso: eng
page: 1-12
publication: IEEE Transactions on Energy Conversion
publication_identifier:
issn:
- 0885-8969
- 1558-0059
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation
for Electric Drives
type: journal_article
user_id: '66'
year: '2024'
...
---
_id: '56494'
abstract:
- lang: eng
text: "Many industrialized countries have recognized the need to mitigate energy
cost increases faced by low-income households by fostering the adoption of energy-efficient
technologies. How to meet this need is an open question, but “behavioral insights”
are likely components of future policy designs. Applying well-established behavioral
insights to low-income house- holds raises questions of transportability as they
are typically underrepresented in the existing evidence base. We illustrate this
problem by conducting a randomized field experiment on scalable, low-cost design
elements to improve program take-up in one of the world’s largest en- ergy efficiency
assistance programs. Observing investment decisions of over 1,800 low-income households
in Germany’s “Refrigerator Replacement Program”, we find that the transportabil-
ity problem is real and consequential: First, the most effective policy design
would not have been chosen based on existing behavioral insights. Second, design
elements favored by these insights either prove ineffective or even backfire,
violating ‘do no harm’ principles of policy advice. Systematic testing remains
crucial for addressing the transportability problem, partic- ularly for policies
targeting vulnerable groups.\r\n"
author:
- first_name: Martin
full_name: Kesternich, Martin
id: '98922'
last_name: Kesternich
orcid: 0000-0002-0653-7680
- first_name: Bettina
full_name: Chlond , Bettina
last_name: 'Chlond '
- first_name: 'Timo '
full_name: 'Goeschl, Timo '
last_name: Goeschl
- first_name: Madeline
full_name: Werthschulte, Madeline
last_name: Werthschulte
citation:
ama: 'Kesternich M, Chlond B, Goeschl T, Werthschulte M. Transporting Behavioral
Insights to Low-Income Households: A Field Experiment on Energy Efficiency Investments. AWI
Discussion Paper Series No. 755; 2024.'
apa: 'Kesternich, M., Chlond , B., Goeschl, T., & Werthschulte, M. (2024). Transporting
behavioral insights to low-income households: A field experiment on energy efficiency
investments. AWI Discussion Paper Series No. 755.'
bibtex: '@book{Kesternich_Chlond _Goeschl_Werthschulte_2024, title={Transporting
behavioral insights to low-income households: A field experiment on energy efficiency
investments}, publisher={ AWI Discussion Paper Series No. 755}, author={Kesternich,
Martin and Chlond , Bettina and Goeschl, Timo and Werthschulte, Madeline}, year={2024}
}'
chicago: 'Kesternich, Martin, Bettina Chlond , Timo Goeschl, and Madeline Werthschulte.
Transporting Behavioral Insights to Low-Income Households: A Field Experiment
on Energy Efficiency Investments. AWI Discussion Paper Series No. 755, 2024.'
ieee: 'M. Kesternich, B. Chlond , T. Goeschl, and M. Werthschulte, Transporting
behavioral insights to low-income households: A field experiment on energy efficiency
investments. AWI Discussion Paper Series No. 755, 2024.'
mla: 'Kesternich, Martin, et al. Transporting Behavioral Insights to Low-Income
Households: A Field Experiment on Energy Efficiency Investments. AWI Discussion
Paper Series No. 755, 2024.'
short: 'M. Kesternich, B. Chlond , T. Goeschl, M. Werthschulte, Transporting Behavioral
Insights to Low-Income Households: A Field Experiment on Energy Efficiency Investments, AWI
Discussion Paper Series No. 755, 2024.'
date_created: 2024-10-10T12:25:31Z
date_updated: 2024-10-11T09:04:17Z
ddc:
- '330'
file:
- access_level: open_access
content_type: application/pdf
creator: mkestern
date_created: 2024-10-10T12:25:25Z
date_updated: 2024-10-10T12:25:25Z
file_id: '56495'
file_name: 755,_october_2024.pdf
file_size: 3239473
relation: main_file
file_date_updated: 2024-10-10T12:25:25Z
has_accepted_license: '1'
jel:
- C93
- D91
- Q49
keyword:
- Transportability
- low-income households
- field experiment
- randomized controlled trial
- governmental welfare programs
- energy efficiency
- technology adoption
language:
- iso: eng
oa: '1'
publisher: ' AWI Discussion Paper Series No. 755'
status: public
title: 'Transporting behavioral insights to low-income households: A field experiment
on energy efficiency investments'
type: working_paper
user_id: '98922'
year: '2024'
...
---
_id: '45826'
author:
- first_name: Valerie A.
full_name: Niemann, Valerie A.
last_name: Niemann
- first_name: Marten
full_name: Huck, Marten
last_name: Huck
- first_name: Hans-Georg
full_name: Steinrück, Hans-Georg
id: '84268'
last_name: Steinrück
orcid: 0000-0001-6373-0877
- first_name: Michael F.
full_name: Toney, Michael F.
last_name: Toney
- first_name: William A.
full_name: Tarpeh, William A.
last_name: Tarpeh
- first_name: Sharon E.
full_name: Bone, Sharon E.
last_name: Bone
citation:
ama: Niemann VA, Huck M, Steinrück H-G, Toney MF, Tarpeh WA, Bone SE. X-ray Absorption
Spectroscopy Reveals Mechanisms of Calcium and Silicon Fouling on Reverse Osmosis
Membranes Used in Wastewater Reclamation. ACS ES&T Water. 2023;3:2627-2637.
doi:10.1021/acsestwater.3c00144
apa: Niemann, V. A., Huck, M., Steinrück, H.-G., Toney, M. F., Tarpeh, W. A., &
Bone, S. E. (2023). X-ray Absorption Spectroscopy Reveals Mechanisms of Calcium
and Silicon Fouling on Reverse Osmosis Membranes Used in Wastewater Reclamation.
ACS ES&T Water, 3, 2627–2637. https://doi.org/10.1021/acsestwater.3c00144
bibtex: '@article{Niemann_Huck_Steinrück_Toney_Tarpeh_Bone_2023, title={X-ray Absorption
Spectroscopy Reveals Mechanisms of Calcium and Silicon Fouling on Reverse Osmosis
Membranes Used in Wastewater Reclamation}, volume={3}, DOI={10.1021/acsestwater.3c00144},
journal={ACS ES&T Water}, publisher={American Chemical Society (ACS)}, author={Niemann,
Valerie A. and Huck, Marten and Steinrück, Hans-Georg and Toney, Michael F. and
Tarpeh, William A. and Bone, Sharon E.}, year={2023}, pages={2627–2637} }'
chicago: 'Niemann, Valerie A., Marten Huck, Hans-Georg Steinrück, Michael F. Toney,
William A. Tarpeh, and Sharon E. Bone. “X-Ray Absorption Spectroscopy Reveals
Mechanisms of Calcium and Silicon Fouling on Reverse Osmosis Membranes Used in
Wastewater Reclamation.” ACS ES&T Water 3 (2023): 2627–37. https://doi.org/10.1021/acsestwater.3c00144.'
ieee: 'V. A. Niemann, M. Huck, H.-G. Steinrück, M. F. Toney, W. A. Tarpeh, and S.
E. Bone, “X-ray Absorption Spectroscopy Reveals Mechanisms of Calcium and Silicon
Fouling on Reverse Osmosis Membranes Used in Wastewater Reclamation,” ACS ES&T
Water, vol. 3, pp. 2627–2637, 2023, doi: 10.1021/acsestwater.3c00144.'
mla: Niemann, Valerie A., et al. “X-Ray Absorption Spectroscopy Reveals Mechanisms
of Calcium and Silicon Fouling on Reverse Osmosis Membranes Used in Wastewater
Reclamation.” ACS ES&T Water, vol. 3, American Chemical Society (ACS),
2023, pp. 2627–37, doi:10.1021/acsestwater.3c00144.
short: V.A. Niemann, M. Huck, H.-G. Steinrück, M.F. Toney, W.A. Tarpeh, S.E. Bone,
ACS ES&T Water 3 (2023) 2627–2637.
date_created: 2023-07-01T15:47:46Z
date_updated: 2023-10-03T09:11:14Z
department:
- _id: '633'
doi: 10.1021/acsestwater.3c00144
intvolume: ' 3'
keyword:
- Water Science and Technology
- Environmental Chemistry
- Chemistry (miscellaneous)
- Chemical Engineering (miscellaneous)
language:
- iso: eng
page: 2627-2637
publication: ACS ES&T Water
publication_identifier:
issn:
- 2690-0637
- 2690-0637
publication_status: published
publisher: American Chemical Society (ACS)
status: public
title: X-ray Absorption Spectroscopy Reveals Mechanisms of Calcium and Silicon Fouling
on Reverse Osmosis Membranes Used in Wastewater Reclamation
type: journal_article
user_id: '84268'
volume: 3
year: '2023'
...
---
_id: '45866'
author:
- first_name: Lukas
full_name: Knorr, Lukas
id: '90391'
last_name: Knorr
- first_name: Florian
full_name: Schlosser, Florian
id: '88614'
last_name: Schlosser
- first_name: Henning
full_name: Meschede, Henning
id: '86954'
last_name: Meschede
orcid: 0000-0002-1538-089X
citation:
ama: Knorr L, Schlosser F, Meschede H. Assessment of Energy Efficiency and Flexibility
Measures in Electrified Process Heat Generation Based on Simulations in the Animal
Feed Industry. Journal of Sustainable Development of Energy, Water and Environment
Systems. 2023;11(3):0-0. doi:10.13044/j.sdewes.d11.0444
apa: Knorr, L., Schlosser, F., & Meschede, H. (2023). Assessment of Energy Efficiency
and Flexibility Measures in Electrified Process Heat Generation Based on Simulations
in the Animal Feed Industry. Journal of Sustainable Development of Energy,
Water and Environment Systems, 11(3), 0–0. https://doi.org/10.13044/j.sdewes.d11.0444
bibtex: '@article{Knorr_Schlosser_Meschede_2023, title={Assessment of Energy Efficiency
and Flexibility Measures in Electrified Process Heat Generation Based on Simulations
in the Animal Feed Industry}, volume={11}, DOI={10.13044/j.sdewes.d11.0444},
number={3}, journal={Journal of Sustainable Development of Energy, Water and Environment
Systems}, publisher={SDEWES Centre}, author={Knorr, Lukas and Schlosser, Florian
and Meschede, Henning}, year={2023}, pages={0–0} }'
chicago: 'Knorr, Lukas, Florian Schlosser, and Henning Meschede. “Assessment of
Energy Efficiency and Flexibility Measures in Electrified Process Heat Generation
Based on Simulations in the Animal Feed Industry.” Journal of Sustainable Development
of Energy, Water and Environment Systems 11, no. 3 (2023): 0–0. https://doi.org/10.13044/j.sdewes.d11.0444.'
ieee: 'L. Knorr, F. Schlosser, and H. Meschede, “Assessment of Energy Efficiency
and Flexibility Measures in Electrified Process Heat Generation Based on Simulations
in the Animal Feed Industry,” Journal of Sustainable Development of Energy,
Water and Environment Systems, vol. 11, no. 3, pp. 0–0, 2023, doi: 10.13044/j.sdewes.d11.0444.'
mla: Knorr, Lukas, et al. “Assessment of Energy Efficiency and Flexibility Measures
in Electrified Process Heat Generation Based on Simulations in the Animal Feed
Industry.” Journal of Sustainable Development of Energy, Water and Environment
Systems, vol. 11, no. 3, SDEWES Centre, 2023, pp. 0–0, doi:10.13044/j.sdewes.d11.0444.
short: L. Knorr, F. Schlosser, H. Meschede, Journal of Sustainable Development of
Energy, Water and Environment Systems 11 (2023) 0–0.
date_created: 2023-07-05T07:47:37Z
date_updated: 2023-10-02T09:05:36Z
department:
- _id: '644'
doi: 10.13044/j.sdewes.d11.0444
issue: '3'
keyword:
- Energy Engineering and Power Technology
- Water Science and Technology
- Environmental Science (miscellaneous)
- Renewable Energy
- Sustainability and the Environment
language:
- iso: eng
page: 0-0
publication: Journal of Sustainable Development of Energy, Water and Environment Systems
publication_identifier:
issn:
- 1848-9257
publication_status: published
publisher: SDEWES Centre
status: public
title: Assessment of Energy Efficiency and Flexibility Measures in Electrified Process
Heat Generation Based on Simulations in the Animal Feed Industry
type: journal_article
user_id: '90391'
volume: ' 11'
year: '2023'
...
---
_id: '48517'
article_number: '91'
author:
- first_name: Sylvia
full_name: Hubner-Benz, Sylvia
id: '100407'
last_name: Hubner-Benz
- first_name: Matthias
full_name: Baum, Matthias
last_name: Baum
citation:
ama: Hubner-Benz S, Baum M. What predicts effectuation preferences Disentangling
individual and environmental factors and illuminating decision criteria. International
Journal of Entrepreneurial Venturing. 2023;15(1). doi:10.1504/ijev.2023.129283
apa: Hubner-Benz, S., & Baum, M. (2023). What predicts effectuation preferences
Disentangling individual and environmental factors and illuminating decision criteria.
International Journal of Entrepreneurial Venturing, 15(1), Article
91. https://doi.org/10.1504/ijev.2023.129283
bibtex: '@article{Hubner-Benz_Baum_2023, title={What predicts effectuation preferences
Disentangling individual and environmental factors and illuminating decision criteria},
volume={15}, DOI={10.1504/ijev.2023.129283},
number={191}, journal={International Journal of Entrepreneurial Venturing}, publisher={Inderscience
Publishers}, author={Hubner-Benz, Sylvia and Baum, Matthias}, year={2023} }'
chicago: Hubner-Benz, Sylvia, and Matthias Baum. “What Predicts Effectuation Preferences
Disentangling Individual and Environmental Factors and Illuminating Decision Criteria.”
International Journal of Entrepreneurial Venturing 15, no. 1 (2023). https://doi.org/10.1504/ijev.2023.129283.
ieee: 'S. Hubner-Benz and M. Baum, “What predicts effectuation preferences Disentangling
individual and environmental factors and illuminating decision criteria,” International
Journal of Entrepreneurial Venturing, vol. 15, no. 1, Art. no. 91, 2023, doi:
10.1504/ijev.2023.129283.'
mla: Hubner-Benz, Sylvia, and Matthias Baum. “What Predicts Effectuation Preferences
Disentangling Individual and Environmental Factors and Illuminating Decision Criteria.”
International Journal of Entrepreneurial Venturing, vol. 15, no. 1, 91,
Inderscience Publishers, 2023, doi:10.1504/ijev.2023.129283.
short: S. Hubner-Benz, M. Baum, International Journal of Entrepreneurial Venturing
15 (2023).
date_created: 2023-10-27T12:38:59Z
date_updated: 2023-10-27T12:42:47Z
doi: 10.1504/ijev.2023.129283
intvolume: ' 15'
issue: '1'
keyword:
- Management of Technology and Innovation
- Strategy and Management
- Business and International Management
language:
- iso: eng
publication: International Journal of Entrepreneurial Venturing
publication_identifier:
issn:
- 1742-5360
- 1742-5379
publication_status: published
publisher: Inderscience Publishers
status: public
title: What predicts effectuation preferences Disentangling individual and environmental
factors and illuminating decision criteria
type: journal_article
user_id: '100407'
volume: 15
year: '2023'
...
---
_id: '48900'
author:
- first_name: Sarah
full_name: Diederich, Sarah
last_name: Diederich
- first_name: Anja
full_name: Iseke, Anja
last_name: Iseke
- first_name: Kerstin
full_name: Pull, Kerstin
last_name: Pull
- first_name: Martin
full_name: Schneider, Martin
last_name: Schneider
citation:
ama: 'Diederich S, Iseke A, Pull K, Schneider M. Role (in-)congruity and the Catch
22 for female executives: how stereotyping contributes to the gender pay gap at
top executive level. The International Journal of Human Resource Management.
Published online 2023:1-29. doi:10.1080/09585192.2023.2273331'
apa: 'Diederich, S., Iseke, A., Pull, K., & Schneider, M. (2023). Role (in-)congruity
and the Catch 22 for female executives: how stereotyping contributes to the gender
pay gap at top executive level. The International Journal of Human Resource
Management, 1–29. https://doi.org/10.1080/09585192.2023.2273331'
bibtex: '@article{Diederich_Iseke_Pull_Schneider_2023, title={Role (in-)congruity
and the Catch 22 for female executives: how stereotyping contributes to the gender
pay gap at top executive level}, DOI={10.1080/09585192.2023.2273331},
journal={The International Journal of Human Resource Management}, publisher={Informa
UK Limited}, author={Diederich, Sarah and Iseke, Anja and Pull, Kerstin and Schneider,
Martin}, year={2023}, pages={1–29} }'
chicago: 'Diederich, Sarah, Anja Iseke, Kerstin Pull, and Martin Schneider. “Role
(in-)Congruity and the Catch 22 for Female Executives: How Stereotyping Contributes
to the Gender Pay Gap at Top Executive Level.” The International Journal of
Human Resource Management, 2023, 1–29. https://doi.org/10.1080/09585192.2023.2273331.'
ieee: 'S. Diederich, A. Iseke, K. Pull, and M. Schneider, “Role (in-)congruity and
the Catch 22 for female executives: how stereotyping contributes to the gender
pay gap at top executive level,” The International Journal of Human Resource
Management, pp. 1–29, 2023, doi: 10.1080/09585192.2023.2273331.'
mla: 'Diederich, Sarah, et al. “Role (in-)Congruity and the Catch 22 for Female
Executives: How Stereotyping Contributes to the Gender Pay Gap at Top Executive
Level.” The International Journal of Human Resource Management, Informa
UK Limited, 2023, pp. 1–29, doi:10.1080/09585192.2023.2273331.'
short: S. Diederich, A. Iseke, K. Pull, M. Schneider, The International Journal
of Human Resource Management (2023) 1–29.
date_created: 2023-11-14T16:13:46Z
date_updated: 2023-11-14T16:13:52Z
doi: 10.1080/09585192.2023.2273331
keyword:
- Management of Technology and Innovation
- Organizational Behavior and Human Resource Management
- Strategy and Management
- Business and International Management
- Industrial relations
language:
- iso: eng
page: 1-29
publication: The International Journal of Human Resource Management
publication_identifier:
issn:
- 0958-5192
- 1466-4399
publication_status: published
publisher: Informa UK Limited
status: public
title: 'Role (in-)congruity and the Catch 22 for female executives: how stereotyping
contributes to the gender pay gap at top executive level'
type: journal_article
user_id: '471'
year: '2023'
...
---
_id: '49446'
author:
- first_name: Sarah
full_name: Diederich, Sarah
last_name: Diederich
- first_name: Anja
full_name: Iseke, Anja
last_name: Iseke
- first_name: Kerstin
full_name: Pull, Kerstin
last_name: Pull
- first_name: Martin
full_name: Schneider, Martin
id: '471'
last_name: Schneider
orcid: https://orcid.org/0000-0002-6961-3716
citation:
ama: 'Diederich S, Iseke A, Pull K, Schneider M. Role (in-)congruity and the Catch
22 for female executives: how stereotyping contributes to the gender pay gap at
top executive level. The International Journal of Human Resource Management.
Published online 2023:1-29. doi:10.1080/09585192.2023.2273331'
apa: 'Diederich, S., Iseke, A., Pull, K., & Schneider, M. (2023). Role (in-)congruity
and the Catch 22 for female executives: how stereotyping contributes to the gender
pay gap at top executive level. The International Journal of Human Resource
Management, 1–29. https://doi.org/10.1080/09585192.2023.2273331'
bibtex: '@article{Diederich_Iseke_Pull_Schneider_2023, title={Role (in-)congruity
and the Catch 22 for female executives: how stereotyping contributes to the gender
pay gap at top executive level}, DOI={10.1080/09585192.2023.2273331},
journal={The International Journal of Human Resource Management}, publisher={Informa
UK Limited}, author={Diederich, Sarah and Iseke, Anja and Pull, Kerstin and Schneider,
Martin}, year={2023}, pages={1–29} }'
chicago: 'Diederich, Sarah, Anja Iseke, Kerstin Pull, and Martin Schneider. “Role
(in-)Congruity and the Catch 22 for Female Executives: How Stereotyping Contributes
to the Gender Pay Gap at Top Executive Level.” The International Journal of
Human Resource Management, 2023, 1–29. https://doi.org/10.1080/09585192.2023.2273331.'
ieee: 'S. Diederich, A. Iseke, K. Pull, and M. Schneider, “Role (in-)congruity and
the Catch 22 for female executives: how stereotyping contributes to the gender
pay gap at top executive level,” The International Journal of Human Resource
Management, pp. 1–29, 2023, doi: 10.1080/09585192.2023.2273331.'
mla: 'Diederich, Sarah, et al. “Role (in-)Congruity and the Catch 22 for Female
Executives: How Stereotyping Contributes to the Gender Pay Gap at Top Executive
Level.” The International Journal of Human Resource Management, Informa
UK Limited, 2023, pp. 1–29, doi:10.1080/09585192.2023.2273331.'
short: S. Diederich, A. Iseke, K. Pull, M. Schneider, The International Journal
of Human Resource Management (2023) 1–29.
date_created: 2023-12-04T11:59:27Z
date_updated: 2023-12-04T12:05:49Z
department:
- _id: '19'
- _id: '185'
doi: 10.1080/09585192.2023.2273331
keyword:
- Management of Technology and Innovation
- Organizational Behavior and Human Resource Management
- Strategy and Management
- Business and International Management
- Industrial relations
language:
- iso: eng
page: 1-29
publication: The International Journal of Human Resource Management
publication_identifier:
issn:
- 0958-5192
- 1466-4399
publication_status: published
publisher: Informa UK Limited
status: public
title: 'Role (in-)congruity and the Catch 22 for female executives: how stereotyping
contributes to the gender pay gap at top executive level'
type: journal_article
user_id: '54657'
year: '2023'
...
---
_id: '49565'
article_number: '100504'
author:
- first_name: Felix
full_name: Ebersold, Felix
last_name: Ebersold
- first_name: Ron-Hendrik
full_name: Hechelmann, Ron-Hendrik
last_name: Hechelmann
- first_name: Peter
full_name: Holzapfel, Peter
last_name: Holzapfel
- first_name: Henning
full_name: Meschede, Henning
id: '86954'
last_name: Meschede
orcid: 0000-0002-1538-089X
citation:
ama: 'Ebersold F, Hechelmann R-H, Holzapfel P, Meschede H. Carbon insetting as a
measure to raise supply chain energy efficiency potentials: Opportunities and
challenges. Energy Conversion and Management: X. 2023;20. doi:10.1016/j.ecmx.2023.100504'
apa: 'Ebersold, F., Hechelmann, R.-H., Holzapfel, P., & Meschede, H. (2023).
Carbon insetting as a measure to raise supply chain energy efficiency potentials:
Opportunities and challenges. Energy Conversion and Management: X, 20,
Article 100504. https://doi.org/10.1016/j.ecmx.2023.100504'
bibtex: '@article{Ebersold_Hechelmann_Holzapfel_Meschede_2023, title={Carbon insetting
as a measure to raise supply chain energy efficiency potentials: Opportunities
and challenges}, volume={20}, DOI={10.1016/j.ecmx.2023.100504},
number={100504}, journal={Energy Conversion and Management: X}, publisher={Elsevier
BV}, author={Ebersold, Felix and Hechelmann, Ron-Hendrik and Holzapfel, Peter
and Meschede, Henning}, year={2023} }'
chicago: 'Ebersold, Felix, Ron-Hendrik Hechelmann, Peter Holzapfel, and Henning
Meschede. “Carbon Insetting as a Measure to Raise Supply Chain Energy Efficiency
Potentials: Opportunities and Challenges.” Energy Conversion and Management:
X 20 (2023). https://doi.org/10.1016/j.ecmx.2023.100504.'
ieee: 'F. Ebersold, R.-H. Hechelmann, P. Holzapfel, and H. Meschede, “Carbon insetting
as a measure to raise supply chain energy efficiency potentials: Opportunities
and challenges,” Energy Conversion and Management: X, vol. 20, Art. no.
100504, 2023, doi: 10.1016/j.ecmx.2023.100504.'
mla: 'Ebersold, Felix, et al. “Carbon Insetting as a Measure to Raise Supply Chain
Energy Efficiency Potentials: Opportunities and Challenges.” Energy Conversion
and Management: X, vol. 20, 100504, Elsevier BV, 2023, doi:10.1016/j.ecmx.2023.100504.'
short: 'F. Ebersold, R.-H. Hechelmann, P. Holzapfel, H. Meschede, Energy Conversion
and Management: X 20 (2023).'
date_created: 2023-12-12T22:06:23Z
date_updated: 2023-12-12T22:06:51Z
doi: 10.1016/j.ecmx.2023.100504
intvolume: ' 20'
keyword:
- Energy Engineering and Power Technology
- Fuel Technology
- Nuclear Energy and Engineering
- Renewable Energy
- Sustainability and the Environment
language:
- iso: eng
publication: 'Energy Conversion and Management: X'
publication_identifier:
issn:
- 2590-1745
publication_status: published
publisher: Elsevier BV
status: public
title: 'Carbon insetting as a measure to raise supply chain energy efficiency potentials:
Opportunities and challenges'
type: journal_article
user_id: '86954'
volume: 20
year: '2023'
...
---
_id: '45270'
abstract:
- lang: eng
text: Clinical depression is a serious mental disorder that poses challenges for
both personal and public health. Millions of people struggle with depression each
year, but for many, the disorder goes undiagnosed or untreated. Over the last
decade, early depression detection on social media emerged as an interdisciplinary
research field. However, there is still a gap in detecting hesitant, depression-susceptible
individuals with minimal direct depressive signals at an early stage. We, therefore,
take up this open point and leverage posts from Reddit to fill the addressed gap.
Our results demonstrate the potential of contemporary Transformer architectures
in yielding promising predictive capabilities for mental health research. Furthermore,
we investigate the model’s interpretability using a surrogate and a topic modeling
approach. Based on our findings, we consider this work as a further step towards
developing a better understanding of mental eHealth and hope that our results
can support the development of future technologies.
author:
- first_name: Haya
full_name: Halimeh, Haya
id: '87673'
last_name: Halimeh
- first_name: Matthew
full_name: Caron, Matthew
id: '60721'
last_name: Caron
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: 'Halimeh H, Caron M, Müller O. Early Depression Detection with Transformer
Models: Analyzing the Relationship between Linguistic and Psychology-Based Features.
In: Hawaii International Conference on System Sciences. ; 2023.'
apa: 'Halimeh, H., Caron, M., & Müller, O. (2023). Early Depression Detection
with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based
Features. Hawaii International Conference on System Sciences. Hawaii International
Conference on System Sciences.'
bibtex: '@inproceedings{Halimeh_Caron_Müller_2023, title={Early Depression Detection
with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based
Features}, booktitle={Hawaii International Conference on System Sciences}, author={Halimeh,
Haya and Caron, Matthew and Müller, Oliver}, year={2023} }'
chicago: 'Halimeh, Haya, Matthew Caron, and Oliver Müller. “Early Depression Detection
with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based
Features.” In Hawaii International Conference on System Sciences, 2023.'
ieee: 'H. Halimeh, M. Caron, and O. Müller, “Early Depression Detection with Transformer
Models: Analyzing the Relationship between Linguistic and Psychology-Based Features,”
presented at the Hawaii International Conference on System Sciences, 2023.'
mla: 'Halimeh, Haya, et al. “Early Depression Detection with Transformer Models:
Analyzing the Relationship between Linguistic and Psychology-Based Features.”
Hawaii International Conference on System Sciences, 2023.'
short: 'H. Halimeh, M. Caron, O. Müller, in: Hawaii International Conference on
System Sciences, 2023.'
conference:
end_date: 2023-01-06
name: Hawaii International Conference on System Sciences
start_date: 2023-01-03
date_created: 2023-05-25T10:25:21Z
date_updated: 2024-01-10T15:16:37Z
department:
- _id: '195'
- _id: '196'
keyword:
- Social Media and Healthcare Technology
- early depression detection
- liwc
- mental health
- transfer learning
- transformer architectures
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://scholarspace.manoa.hawaii.edu/items/2ddab486-5d2f-4302-8de3-a8b24017da3d
oa: '1'
publication: Hawaii International Conference on System Sciences
publication_status: published
related_material:
link:
- relation: confirmation
url: https://hdl.handle.net/10125/103046
status: public
title: 'Early Depression Detection with Transformer Models: Analyzing the Relationship
between Linguistic and Psychology-Based Features'
type: conference
user_id: '60721'
year: '2023'
...
---
_id: '53074'
article_number: '112820'
author:
- first_name: Tina
full_name: Kasper, Tina
last_name: Kasper
- first_name: Nils
full_name: Hansen, Nils
last_name: Hansen
citation:
ama: Kasper T, Hansen N. Resonance enhanced multiphoton ionization detection of
aromatics formation in fuel-rich flames. Combustion and Flame. 2023;257.
doi:10.1016/j.combustflame.2023.112820
apa: Kasper, T., & Hansen, N. (2023). Resonance enhanced multiphoton ionization
detection of aromatics formation in fuel-rich flames. Combustion and Flame,
257, Article 112820. https://doi.org/10.1016/j.combustflame.2023.112820
bibtex: '@article{Kasper_Hansen_2023, title={Resonance enhanced multiphoton ionization
detection of aromatics formation in fuel-rich flames}, volume={257}, DOI={10.1016/j.combustflame.2023.112820},
number={112820}, journal={Combustion and Flame}, publisher={Elsevier BV}, author={Kasper,
Tina and Hansen, Nils}, year={2023} }'
chicago: Kasper, Tina, and Nils Hansen. “Resonance Enhanced Multiphoton Ionization
Detection of Aromatics Formation in Fuel-Rich Flames.” Combustion and Flame
257 (2023). https://doi.org/10.1016/j.combustflame.2023.112820.
ieee: 'T. Kasper and N. Hansen, “Resonance enhanced multiphoton ionization detection
of aromatics formation in fuel-rich flames,” Combustion and Flame, vol.
257, Art. no. 112820, 2023, doi: 10.1016/j.combustflame.2023.112820.'
mla: Kasper, Tina, and Nils Hansen. “Resonance Enhanced Multiphoton Ionization Detection
of Aromatics Formation in Fuel-Rich Flames.” Combustion and Flame, vol.
257, 112820, Elsevier BV, 2023, doi:10.1016/j.combustflame.2023.112820.
short: T. Kasper, N. Hansen, Combustion and Flame 257 (2023).
date_created: 2024-03-27T16:07:31Z
date_updated: 2024-03-27T16:23:48Z
department:
- _id: '728'
doi: 10.1016/j.combustflame.2023.112820
intvolume: ' 257'
keyword:
- General Physics and Astronomy
- Energy Engineering and Power Technology
- Fuel Technology
- General Chemical Engineering
- General Chemistry
language:
- iso: eng
publication: Combustion and Flame
publication_identifier:
issn:
- 0010-2180
publication_status: published
publisher: Elsevier BV
status: public
title: Resonance enhanced multiphoton ionization detection of aromatics formation
in fuel-rich flames
type: journal_article
user_id: '94562'
volume: 257
year: '2023'
...
---
_id: '53220'
article_number: '100786'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Arash
full_name: Khalili Nasr, Arash
last_name: Khalili Nasr
- first_name: Alireza Barati
full_name: Ahmadabadi, Alireza Barati
last_name: Ahmadabadi
- first_name: Alireza Shamekhi
full_name: Amiri, Alireza Shamekhi
last_name: Amiri
- first_name: Hassan
full_name: Mina, Hassan
last_name: Mina
citation:
ama: Tavana M, Khalili Nasr A, Ahmadabadi AB, Amiri AS, Mina H. An interval multi-criteria
decision-making model for evaluating blockchain-IoT technology in supply chain
networks. Internet of Things. 2023;22. doi:10.1016/j.iot.2023.100786
apa: Tavana, M., Khalili Nasr, A., Ahmadabadi, A. B., Amiri, A. S., & Mina,
H. (2023). An interval multi-criteria decision-making model for evaluating blockchain-IoT
technology in supply chain networks. Internet of Things, 22, Article
100786. https://doi.org/10.1016/j.iot.2023.100786
bibtex: '@article{Tavana_Khalili Nasr_Ahmadabadi_Amiri_Mina_2023, title={An interval
multi-criteria decision-making model for evaluating blockchain-IoT technology
in supply chain networks}, volume={22}, DOI={10.1016/j.iot.2023.100786},
number={100786}, journal={Internet of Things}, publisher={Elsevier BV}, author={Tavana,
Madjid and Khalili Nasr, Arash and Ahmadabadi, Alireza Barati and Amiri, Alireza
Shamekhi and Mina, Hassan}, year={2023} }'
chicago: Tavana, Madjid, Arash Khalili Nasr, Alireza Barati Ahmadabadi, Alireza
Shamekhi Amiri, and Hassan Mina. “An Interval Multi-Criteria Decision-Making Model
for Evaluating Blockchain-IoT Technology in Supply Chain Networks.” Internet
of Things 22 (2023). https://doi.org/10.1016/j.iot.2023.100786.
ieee: 'M. Tavana, A. Khalili Nasr, A. B. Ahmadabadi, A. S. Amiri, and H. Mina, “An
interval multi-criteria decision-making model for evaluating blockchain-IoT technology
in supply chain networks,” Internet of Things, vol. 22, Art. no. 100786,
2023, doi: 10.1016/j.iot.2023.100786.'
mla: Tavana, Madjid, et al. “An Interval Multi-Criteria Decision-Making Model for
Evaluating Blockchain-IoT Technology in Supply Chain Networks.” Internet of
Things, vol. 22, 100786, Elsevier BV, 2023, doi:10.1016/j.iot.2023.100786.
short: M. Tavana, A. Khalili Nasr, A.B. Ahmadabadi, A.S. Amiri, H. Mina, Internet
of Things 22 (2023).
date_created: 2024-04-04T13:49:53Z
date_updated: 2024-04-15T13:10:41Z
department:
- _id: '277'
doi: 10.1016/j.iot.2023.100786
intvolume: ' 22'
keyword:
- Management of Technology and Innovation
- Artificial Intelligence
- Computer Science Applications
- Hardware and Architecture
- Engineering (miscellaneous)
- Information Systems
- Computer Science (miscellaneous)
- Software
language:
- iso: eng
publication: Internet of Things
publication_identifier:
issn:
- 2542-6605
publication_status: published
publisher: Elsevier BV
status: public
title: An interval multi-criteria decision-making model for evaluating blockchain-IoT
technology in supply chain networks
type: journal_article
user_id: '51811'
volume: 22
year: '2023'
...
---
_id: '53226'
article_number: '100454'
author:
- first_name: Raquel
full_name: Marín, Raquel
last_name: Marín
- first_name: Francisco J.
full_name: Santos-Arteaga, Francisco J.
last_name: Santos-Arteaga
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Debora
full_name: Di Caprio, Debora
last_name: Di Caprio
citation:
ama: Marín R, Santos-Arteaga FJ, Tavana M, Di Caprio D. Value Chain digitalization
and technological development as innovation catalysts in small and medium-sized
enterprises. Journal of Innovation & Knowledge. 2023;8(4). doi:10.1016/j.jik.2023.100454
apa: Marín, R., Santos-Arteaga, F. J., Tavana, M., & Di Caprio, D. (2023). Value
Chain digitalization and technological development as innovation catalysts in
small and medium-sized enterprises. Journal of Innovation & Knowledge,
8(4), Article 100454. https://doi.org/10.1016/j.jik.2023.100454
bibtex: '@article{Marín_Santos-Arteaga_Tavana_Di Caprio_2023, title={Value Chain
digitalization and technological development as innovation catalysts in small
and medium-sized enterprises}, volume={8}, DOI={10.1016/j.jik.2023.100454},
number={4100454}, journal={Journal of Innovation & Knowledge}, publisher={Elsevier
BV}, author={Marín, Raquel and Santos-Arteaga, Francisco J. and Tavana, Madjid
and Di Caprio, Debora}, year={2023} }'
chicago: Marín, Raquel, Francisco J. Santos-Arteaga, Madjid Tavana, and Debora Di
Caprio. “Value Chain Digitalization and Technological Development as Innovation
Catalysts in Small and Medium-Sized Enterprises.” Journal of Innovation &
Knowledge 8, no. 4 (2023). https://doi.org/10.1016/j.jik.2023.100454.
ieee: 'R. Marín, F. J. Santos-Arteaga, M. Tavana, and D. Di Caprio, “Value Chain
digitalization and technological development as innovation catalysts in small
and medium-sized enterprises,” Journal of Innovation & Knowledge, vol.
8, no. 4, Art. no. 100454, 2023, doi: 10.1016/j.jik.2023.100454.'
mla: Marín, Raquel, et al. “Value Chain Digitalization and Technological Development
as Innovation Catalysts in Small and Medium-Sized Enterprises.” Journal of
Innovation & Knowledge, vol. 8, no. 4, 100454, Elsevier BV, 2023, doi:10.1016/j.jik.2023.100454.
short: R. Marín, F.J. Santos-Arteaga, M. Tavana, D. Di Caprio, Journal of Innovation
& Knowledge 8 (2023).
date_created: 2024-04-04T13:55:31Z
date_updated: 2024-04-15T13:12:06Z
department:
- _id: '277'
doi: 10.1016/j.jik.2023.100454
intvolume: ' 8'
issue: '4'
keyword:
- Management of Technology and Innovation
- Marketing
- Economics and Econometrics
- Business and International Management
language:
- iso: eng
publication: Journal of Innovation & Knowledge
publication_identifier:
issn:
- 2444-569X
publication_status: published
publisher: Elsevier BV
status: public
title: Value Chain digitalization and technological development as innovation catalysts
in small and medium-sized enterprises
type: journal_article
user_id: '51811'
volume: 8
year: '2023'
...
---
_id: '53224'
article_number: '122510'
author:
- first_name: Francisco J.
full_name: Santos-Arteaga, Francisco J.
last_name: Santos-Arteaga
- first_name: Debora
full_name: Di Caprio, Debora
last_name: Di Caprio
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
citation:
ama: Santos-Arteaga FJ, Di Caprio D, Tavana M. A combinatorial data envelopment
analysis with uncertain interval data with application to ICT evaluation. Technological
Forecasting and Social Change. 2023;191. doi:10.1016/j.techfore.2023.122510
apa: Santos-Arteaga, F. J., Di Caprio, D., & Tavana, M. (2023). A combinatorial
data envelopment analysis with uncertain interval data with application to ICT
evaluation. Technological Forecasting and Social Change, 191, Article
122510. https://doi.org/10.1016/j.techfore.2023.122510
bibtex: '@article{Santos-Arteaga_Di Caprio_Tavana_2023, title={A combinatorial data
envelopment analysis with uncertain interval data with application to ICT evaluation},
volume={191}, DOI={10.1016/j.techfore.2023.122510},
number={122510}, journal={Technological Forecasting and Social Change}, publisher={Elsevier
BV}, author={Santos-Arteaga, Francisco J. and Di Caprio, Debora and Tavana, Madjid},
year={2023} }'
chicago: Santos-Arteaga, Francisco J., Debora Di Caprio, and Madjid Tavana. “A Combinatorial
Data Envelopment Analysis with Uncertain Interval Data with Application to ICT
Evaluation.” Technological Forecasting and Social Change 191 (2023). https://doi.org/10.1016/j.techfore.2023.122510.
ieee: 'F. J. Santos-Arteaga, D. Di Caprio, and M. Tavana, “A combinatorial data
envelopment analysis with uncertain interval data with application to ICT evaluation,”
Technological Forecasting and Social Change, vol. 191, Art. no. 122510,
2023, doi: 10.1016/j.techfore.2023.122510.'
mla: Santos-Arteaga, Francisco J., et al. “A Combinatorial Data Envelopment Analysis
with Uncertain Interval Data with Application to ICT Evaluation.” Technological
Forecasting and Social Change, vol. 191, 122510, Elsevier BV, 2023, doi:10.1016/j.techfore.2023.122510.
short: F.J. Santos-Arteaga, D. Di Caprio, M. Tavana, Technological Forecasting and
Social Change 191 (2023).
date_created: 2024-04-04T13:52:46Z
date_updated: 2024-04-15T13:11:54Z
department:
- _id: '277'
doi: 10.1016/j.techfore.2023.122510
intvolume: ' 191'
keyword:
- Management of Technology and Innovation
- Applied Psychology
- Business and International Management
language:
- iso: eng
publication: Technological Forecasting and Social Change
publication_identifier:
issn:
- 0040-1625
publication_status: published
publisher: Elsevier BV
status: public
title: A combinatorial data envelopment analysis with uncertain interval data with
application to ICT evaluation
type: journal_article
user_id: '51811'
volume: 191
year: '2023'
...
---
_id: '49785'
abstract:
- lang: eng
text: "Reputation is indispensable for online business since it supports customers
in their buying decisions and\r\nallows sellers to justify premium prices. While
IS research has investigated reputation systems mainly\r\nas review systems on
online platforms for business-to-consumer (B2C) transactions, no proper solutions\r\nhave
been developed for business-to-business (B2B) transactions yet. We use blockchain
technology to\r\npropose a new class of reputation systems that apply ratings
as voluntary bonus payments: Before a\r\ntransaction is performed, customers commit
to pay a bonus that is granted if a service provider has\r\nperformed a service
properly. As opposed to rival reputation systems that build on cumulated ratings\r\nor
reviews, our system enables monetized reputation mechanisms that are inextricably
linked with online\r\ntransactions. We expect this system class to provide more
trustworthy ratings, which might reduce\r\nagency costs and serve quality providers
to establish a reputation towards new customers, building on\r\nsecond-order trust."
author:
- first_name: Simon
full_name: Hemmrich, Simon
id: '83557'
last_name: Hemmrich
citation:
ama: 'Hemmrich S. Business Reputation Systems based on Blockchain Technology—A Risky
Advance. In: Proceedings of 31st European Conference on Information Systems
(ECIS 2023). ; 2023.'
apa: Hemmrich, S. (2023). Business Reputation Systems based on Blockchain Technology—A
Risky Advance. Proceedings of 31st European Conference on Information Systems
(ECIS 2023).
bibtex: '@inproceedings{Hemmrich_2023, title={Business Reputation Systems based
on Blockchain Technology—A Risky Advance}, booktitle={Proceedings of 31st European
Conference on Information Systems (ECIS 2023)}, author={Hemmrich, Simon}, year={2023}
}'
chicago: Hemmrich, Simon. “Business Reputation Systems Based on Blockchain Technology—A
Risky Advance.” In Proceedings of 31st European Conference on Information Systems
(ECIS 2023), 2023.
ieee: S. Hemmrich, “Business Reputation Systems based on Blockchain Technology—A
Risky Advance,” Kristiansand, 2023.
mla: Hemmrich, Simon. “Business Reputation Systems Based on Blockchain Technology—A
Risky Advance.” Proceedings of 31st European Conference on Information Systems
(ECIS 2023), 2023.
short: 'S. Hemmrich, in: Proceedings of 31st European Conference on Information
Systems (ECIS 2023), 2023.'
conference:
location: Kristiansand
date_created: 2023-12-18T12:55:32Z
date_updated: 2024-04-15T13:33:21Z
jel:
- D47
- D82
- D81
- E42
keyword:
- Trust
- Risk
- Reputation System
- Blockchain Technology
- Business Reputation System.
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://aisel.aisnet.org/ecis2023_rip/51/
oa: '1'
publication: Proceedings of 31st European Conference on Information Systems (ECIS
2023)
publication_status: published
quality_controlled: '1'
status: public
title: Business Reputation Systems based on Blockchain Technology—A Risky Advance
type: conference
user_id: '83557'
year: '2023'
...
---
_id: '39976'
abstract:
- lang: eng
text: "The context of the study is the increasing digitalisation of the living environment
of primary school students, which is to be introduced into primary schools according
to theoretical and educational policy guidelines. In this regard, further teacher\r\ntraining
on digital media in classrooms are particularly relevant, on the one hand to promote
teachers’ digital-related pedagogical knowledge and content knowledge (DPaCK).
On the other hand, studies also reveal positive correlations among teacher training,
teaching activities, and students’ learning outcomes. In-service teacher training
courses with adaptive support by a trainer in particular have\r\nproven to be
effective. Against the background of various research studies on professional
development of teachers, a corresponding model of tripartite learning outcomes
has been established and serves as a broad theoretical framework. However, the
specific relationship between in-service teacher training with adaptive support,
DPaCK, and computational thinking of primary school students in the context of
the German primary school subject Sachunterricht has not been sufficiently studied.
Therefore, the following research questions can be derived: (1) To what extent
does training with adaptive support on the topic of learning robots contribute
to the development of teachers’ DPaCK? (2) Which effects can be ascertained on
the students’ computational thinking in technology-related Sachunterricht? To
investigate this relationship, an intervention study in a pre-post design with
an experimental group, a control group, and a baseline is appropriate. As results
are not yet available at this point, the present paper focuses on the presentation
of the theoretical background and empirical approaches."
article_type: original
author:
- first_name: Nicole
full_name: Janicki, Nicole
id: '50915'
last_name: Janicki
- first_name: Claudia
full_name: Tenberge, Claudia
id: '67302'
last_name: Tenberge
citation:
ama: Janicki N, Tenberge C. Technology education in elementary school using the
example of “learning robots” – development and evaluation of an in-service teacher
training concept. Australasian Journal of Technology Education. 2023;9.
doi:https://doi.org/10.15663/ajte.v9.i0.103
apa: Janicki, N., & Tenberge, C. (2023). Technology education in elementary
school using the example of “learning robots” – development and evaluation of
an in-service teacher training concept. Australasian Journal of Technology
Education, 9. https://doi.org/10.15663/ajte.v9.i0.103
bibtex: '@article{Janicki_Tenberge_2023, title={Technology education in elementary
school using the example of “learning robots” – development and evaluation of
an in-service teacher training concept}, volume={9}, DOI={https://doi.org/10.15663/ajte.v9.i0.103},
journal={Australasian Journal of Technology Education}, author={Janicki, Nicole
and Tenberge, Claudia}, year={2023} }'
chicago: Janicki, Nicole, and Claudia Tenberge. “Technology Education in Elementary
School Using the Example of ‘learning Robots’ – Development and Evaluation of
an in-Service Teacher Training Concept.” Australasian Journal of Technology
Education 9 (2023). https://doi.org/10.15663/ajte.v9.i0.103.
ieee: 'N. Janicki and C. Tenberge, “Technology education in elementary school using
the example of ‘learning robots’ – development and evaluation of an in-service
teacher training concept,” Australasian Journal of Technology Education,
vol. 9, 2023, doi: https://doi.org/10.15663/ajte.v9.i0.103.'
mla: Janicki, Nicole, and Claudia Tenberge. “Technology Education in Elementary
School Using the Example of ‘learning Robots’ – Development and Evaluation of
an in-Service Teacher Training Concept.” Australasian Journal of Technology
Education, vol. 9, 2023, doi:https://doi.org/10.15663/ajte.v9.i0.103.
short: N. Janicki, C. Tenberge, Australasian Journal of Technology Education 9 (2023).
date_created: 2023-01-25T11:50:07Z
date_updated: 2024-05-31T09:22:58Z
department:
- _id: '588'
doi: https://doi.org/10.15663/ajte.v9.i0.103
intvolume: ' 9'
keyword:
- technology education
- teacher professionalisation
- Computational Thinking
- digitalization
- learning robots
language:
- iso: eng
publication: Australasian Journal of Technology Education
publication_status: published
status: public
title: Technology education in elementary school using the example of 'learning robots'
– development and evaluation of an in-service teacher training concept
type: journal_article
user_id: '50915'
volume: 9
year: '2023'
...
---
_id: '36834'
abstract:
- lang: eng
text: "AbstractIncreasing average temperatures
and heat waves are having devasting impacts on human health and well-being but
studies of heat impacts and how people adapt are rare and often confined to specific
locations. In this study, we explore how analysis of conversations on social media
can be used to understand how people feel about heat waves and how they respond.
We collected global Twitter data over four months (from January to April 2022)
using predefined hashtags about heat waves. Topic modelling identified five topics.
The largest (one-third of all tweets) was related to sports events. The remaining
two-thirds could be allocated to four topics connected to communication about
climate-related heat or heat waves. Two of these were on the impacts of heat and
heat waves (health impacts 20%; social impacts 16%), one was on extreme weather
and climate change attribution (17%) and the last one was on perceptions and warning
(13%). The number of tweets in each week corresponded well with major heat wave
occurrences in Argentina, Australia, the USA and South Asia (India and Pakistan),
indicating that people posting tweets were aware of the threat from heat and its
impacts on the society. Among the words frequently used within the topic ‘Social
impacts’ were ‘air-conditioning’ and ‘electricity’, suggesting links between coping
strategies and financial pressure. Apart from analysing the content of tweets,
new insights were also obtained from analysing how people engaged with Twitter
tweets about heat or heat waves. We found that tweets posted early, and which
were then shared by other influential Twitter users, were among the most popular.
Finally, we found that the most popular tweets belonged to individual scientists
or respected news outlets, with no evidence that misinformation about climate
change-related heat is widespread.\r\n"
author:
- first_name: Kerstin K.
full_name: Zander, Kerstin K.
last_name: Zander
- first_name: Jonas
full_name: Rieskamp, Jonas
id: '77643'
last_name: Rieskamp
- first_name: Milad
full_name: Mirbabaie, Milad
id: '88691'
last_name: Mirbabaie
- first_name: Mamoun
full_name: Alazab, Mamoun
last_name: Alazab
- first_name: Duy
full_name: Nguyen, Duy
last_name: Nguyen
citation:
ama: 'Zander KK, Rieskamp J, Mirbabaie M, Alazab M, Nguyen D. Responses to heat
waves: what can Twitter data tell us? Natural Hazards. Published online
2023. doi:10.1007/s11069-023-05824-2'
apa: 'Zander, K. K., Rieskamp, J., Mirbabaie, M., Alazab, M., & Nguyen, D. (2023).
Responses to heat waves: what can Twitter data tell us? Natural Hazards.
https://doi.org/10.1007/s11069-023-05824-2'
bibtex: '@article{Zander_Rieskamp_Mirbabaie_Alazab_Nguyen_2023, title={Responses
to heat waves: what can Twitter data tell us?}, DOI={10.1007/s11069-023-05824-2},
journal={Natural Hazards}, publisher={Springer Science and Business Media LLC},
author={Zander, Kerstin K. and Rieskamp, Jonas and Mirbabaie, Milad and Alazab,
Mamoun and Nguyen, Duy}, year={2023} }'
chicago: 'Zander, Kerstin K., Jonas Rieskamp, Milad Mirbabaie, Mamoun Alazab, and
Duy Nguyen. “Responses to Heat Waves: What Can Twitter Data Tell Us?” Natural
Hazards, 2023. https://doi.org/10.1007/s11069-023-05824-2.'
ieee: 'K. K. Zander, J. Rieskamp, M. Mirbabaie, M. Alazab, and D. Nguyen, “Responses
to heat waves: what can Twitter data tell us?,” Natural Hazards, 2023,
doi: 10.1007/s11069-023-05824-2.'
mla: 'Zander, Kerstin K., et al. “Responses to Heat Waves: What Can Twitter Data
Tell Us?” Natural Hazards, Springer Science and Business Media LLC, 2023,
doi:10.1007/s11069-023-05824-2.'
short: K.K. Zander, J. Rieskamp, M. Mirbabaie, M. Alazab, D. Nguyen, Natural Hazards
(2023).
date_created: 2023-01-14T10:51:36Z
date_updated: 2023-01-14T10:52:35Z
doi: 10.1007/s11069-023-05824-2
keyword:
- Earth and Planetary Sciences (miscellaneous)
- Atmospheric Science
- Water Science and Technology
language:
- iso: eng
publication: Natural Hazards
publication_identifier:
issn:
- 0921-030X
- 1573-0840
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'Responses to heat waves: what can Twitter data tell us?'
type: journal_article
user_id: '77643'
year: '2023'
...