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An evolutionary algorithm with heuristic operator for detecting protein complexes in protein interaction networks with negative controls.

Abbas, M. N., Attea, B. A., Broneske, D., & Saake, G. (2024).
An evolutionary algorithm with heuristic operator for detecting protein complexes in protein interaction networks with negative controls. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3367746
Abstract

Computational biology research faces a formidable challenge in the detection of complexes within protein-protein interaction (PPI) networks, critical for unraveling cellular processes, predicting functions of uncharacterized proteins, and diagnosing diseases. While evolutionary algorithms (EAs), particularly state-of-the-art methods, often partition PPI networks based on graph properties or biological semantics, their resilience to noisy or missing interactions remains an underexplored territory. In this paper, we propose a groundbreaking heuristic operator, termed "strong neighbor-node migration", specifically designed to elevate solution quality [...] Full Abstract: https://ieeexplore.ieee.org/document/10440281

Diskursraumschutz durch hochschulisches Ordnungsrecht.

Eisentraut, N. (20. Februar 2024).
Diskursraumschutz durch hochschulisches Ordnungsrecht [Blogbeitrag]. https://dx.doi.org/10.59704/d6d570ab1db1607e
Abstract

Die Hochschulen waren von Beginn der bundesdeutschen Geschichte an Austragungsort politischer Konflikte. Ihre große Stärke liegt darin, ein Forum für die Versachlichung, wissenschaftliche Vertiefung und Reflexion dieser Konflikte zu bieten. Die Konflikte in den letzten Jahren haben jedoch plastisch gemacht, dass dieses Ideal eines wissenschaftlichen Forums kein Selbstläufer ist, sondern Steuerungsleistungen aller Organe der Hochschulen bedarf und häufig auch Präsidien und Rektorate in die Pflicht nimmt, Auseinandersetzungen zu begleiten, zu gestalten und ultima ratio auch Grenzen zu setzen.

Workshopdokumentation: Langzeitarchivierung (LZA) in Forschungsdatenzentren (FDZ).

Hoffstätter, U., & Beck, K. (2024).
Workshopdokumentation: Langzeitarchivierung (LZA) in Forschungsdatenzentren (FDZ). KonsortSWD Working Paper Nr. 8/2024. Konsortium für die Sozial-, Verhaltens-, Bildungs- und Wirtschaftswissenschaften (KonsortSWD). Hannover: DZHW. https://doi.org/10.5281/zenodo.10261654

Framing and BERTology: A data-centric approach to integration of linguistic features into transformer-based pre-trained language models.

Avetisyan, H., Safikhani, P., & Broneske, D. (2024).
Framing and BERTology: A data-centric approach to integration of linguistic features into transformer-based pre-trained language models. In Arai, K. (Hrsg.), Intelligent Systems and Applications (S. 81-90). Cham: Springer. https://doi.org/10.1007/978-3-031-47718-8

Adult Refugees and Asylum Seekers in University Preparation Programs: Competing Identities and Multiple Transitions Manifested in Stigma Consciousness and Student Self-Identification.

Grüttner, M., Schröder, S., & Berg, J. (2024).
Adult Refugees and Asylum Seekers in University Preparation Programs: Competing Identities and Multiple Transitions Manifested in Stigma Consciousness and Student Self-Identification. Adult Education Quarterly, 1-20 (online first).
Abstract

Preparation for university studies is key to enabling adult refugees and asylum seekers to reestablish their educational and professional careers in the host country. While refugees’ transition to higher education (HE) is embedded in multiple transitions regarding social position, educational career, and migration, related identities may compete. We investigate how this is manifested in stigma consciousness and precarious student self-identification and how these factors influence the transition to HE. We combine novel quantitative and qualitative data on refugee students in prestudy programs in Germany. The results show that stigma consciousness impedes student self-identification. Moreover, stigma consciousness moderates the effect of ...

Adult Refugees and Asylum Seekers in University Preparation Programs: Competing Identities and Multiple Transitions Manifested in Stigma Consciousness and Student Self-Identification.

Grüttner, M., Schröder, S., & Berg, J. (2024).
Adult Refugees and Asylum Seekers in University Preparation Programs: Competing Identities and Multiple Transitions Manifested in Stigma Consciousness and Student Self-Identification. Adult Education Quarterly (online first). https://doi.org/10.1177/07417136241231566

Berufungsverfahren „sauber und smooth“.

Walther, L. (2024).
Berufungsverfahren „sauber und smooth“. Hochschulmanagement, 18(4), 123-131.

DINI AG FIS – Jahresrückblick 2023 & Ausblick auf 2024.

Petersohn, S. (29. Januar 2024).
DINI AG FIS – Jahresrückblick 2023 & Ausblick auf 2024 [Blogbeitrag]. https://doi.org/10.57689/DINI-BLOG.20240129

DINI AG FIS – Jahresrückblick 2023 & Ausblick auf 2024.

Petersohn, S., Biesenbender, S., Mau, F., Küsters, U., Hauschke, C., & Beucke, D. (29. Januar 2024).
DINI AG FIS – Jahresrückblick 2023 & Ausblick auf 2024 [Blogbeitrag]. https://doi.org/10.57689/DINI-BLOG.20240129

Examining final comment questions with requests for written and oral answers.

Höhne, J. K., & Claaßen, J. (2024).
Examining final comment questions with requests for written and oral answers. International Journal of Market Research (online first). https://doi.org/10.1177/14707853241229329

Academic careers inside and outside academia—an overview of topics and contributions.

Jaksztat, S., & Gross, C. (2024).
Academic careers inside and outside academia—an overview of topics and contributions. In C. Gross & S. Jaksztat (Hrsg.), Career Paths Inside and Outside Academia (S. 9-19). Baden-Baden: Nomos.

More or less the same? An exploration of the evolution of the PhD wage premium in a decade of higher education expansion.

Euler, T., & Trennt, F. (2024).
More or less the same? An exploration of the evolution of the PhD wage premium in a decade of higher education expansion. Soziale Welt - Special Edition 26, 55-88. https://doi.org/10.5771/9783748925590-55

Challenging the intuition: Is a same-gender supervisor beneficial for doctoral students?

Mühleck, K., & Schwabe, U. (2024).
Challenging the intuition: Is a same-gender supervisor beneficial for doctoral students? Soziale Welt, 26, 280-340. https://doi.org/10.5771/9783748925590-280
Abstract

It continues to be a puzzle that women are disproportionally often dropping out of academic careers. Researchers and policymakers have suggested that same-gender supervisors are important for tightening this ‘leaky pipeline’. Especially in subjects with a strong overrepresentation of men, it seems likely that female supervisors work as positive role models and help preventing discrimination. Anticipating this effect, female doctoral students might also prefer supervisors of the same gender. Therefore, we ask how widespread a gender match is between doctoral student and supervisor in Germany and whether a gender match between supervisors and doctoral students is beneficial for the doctorate and for a possible scientific career thereafter.

Forty and over the academic hill? Biological and academic age and the race for tenure.

Ordemann, J., & Naegele, L. (2024).
Forty and over the academic hill? Biological and academic age and the race for tenure. Soziale Welt , Special Edition(26), 457-489. https://doi.org/10.5771/9783748925590-457
Abstract

Der Beitrag untersucht, wie sich das Alter eines*r Wissenschaftler*in auf die Erreichung einer unbefristeten Stelle im deutschen Wissenschaftssystem auswirkt. Dabei unterscheiden wir basierend auf Überlegungen zu Altersdiskriminierung und zur von Merton geprägten Idee der kumulativen Vorteile zwischen dem biologischen und akademischen Alter. Wir testen unsere Überlegungen anhand der Daten des DZHW-Promotionspanels 2014. Unter Anwendung von PCE-Schätzungen und von Entropy Balancing stellen wir fest, dass Wissenschaftler*innen, die bei ihrer Promotion 40 Jahre oder älter waren, einen signifikant positiven Effekt Effekt auf die Erlangung einer Professur an einer Fachhochschule und einer Anstellung als entfristeter Postdoc hatten.

Clustering graph data: the roadmap to spectral techniques.

Mondal, R., Ignatova, E., Walke, D., Broneske, D., Saake, G., & Heyer, R. (2024).
Clustering graph data: the roadmap to spectral techniques. Discover Artificial Intelligence, 4(7), 1-22. https://doi.org/10.1007/s44163-024-00102-x
Abstract

Graph data models enable efficient storage, visualization, and analysis of highly interlinked data, by providing the benefits of horizontal scalability and high query performance. Clustering techniques, such as K-means, hierarchical clustering, are highly beneficial tools in data mining and machine learning to find meaningful similarities and differences between data points. Recent developments in graph data models, as well as clustering algorithms for graph data, have shown promising results in image segmentation, gene data analysis, etc. This has been primarily achieved through research and development of algorithms in the field of spectral theory, [...] Full abstract: https://doi.org/10.1007/s44163-024-00102-x

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