Reciprocal effects between self-concept of ability and performance: A longitudinal study of children with learning disabilities in inclusive versus exclusive elementary education
J. Gorges, P. Neumann, E. Wild, D. Stranghöner, B. Lütje-Klose, Learning and Individual Differences 61 (2018) 11–20.

Adjusting the Structure and Electronic Properties of Carbons for MetalFree Carbocatalysis of Organic Transformations
M. Antonietti, N. Lopez Salas, A. Primo, Advanced Materials 31 (2018).

Influence of s/s-carbon ratio of vertically standing carbon nanostructures produced by pulsed laser-treatment on PAN-based carbon fibers
K. Engelkemeier, K.-P. Hoyer, M. Schaper, Materials Letters 236 (2018) 752–756.

Mimicking synaptic plasticity and learning behaviours in solution processed SnO2 memristor
Y. Pan, T. Wan, H. Du, B. Qu, D. Wang, T.-J. Ha, D. Chu, Journal of Alloys and Compounds 757 (2018) 496–503.

Machine learning and natural language processing on the patent corpus: Data, tools, and new measures
B. Balsmeier, M. Assaf, T. Chesebro, G. Fierro, K. Johnson, S. Johnson, G. Li, S. Lück, D. O’Reagan, B. Yeh, G. Zang, L. Fleming, Journal of Economics &; Management Strategy 27 (2018) 535–553.

Effectuation, entrepreneurs' leadership behaviour, and employee outcomes: a conceptual model
S. Hubner-Benz, M. Baum, International Journal of Entrepreneurial Venturing 10 (2018).

Internet of Things Architecture for Handling Stream Air Pollution Data
J. Kersting, M. Geierhos, H. Jung, T. Kim, in: M. Ramachandran, V. Méndez Muñoz, V. Kantere, G. Wills, R. Walters, V. Chang (Eds.), Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security, SCITEPRESS, Setúbal, Portugal, 2017, pp. 117–124.

Reciprocation Effort Games
G. Polevoy, M.M. de Weerdt, in: Proceedings of the 29th Benelux Conference on Artificial Intelligence, Springer, 2017.

Competition between Cooperative Projects
G. Polevoy, M.M. de Weerdt, in: Proceedings of the 29th Benelux Conference on Artificial Intelligence, Springer, 2017.

Predicting Early Warning Signals of Financial Distress: Theory and Empirical Evidence
S. Sievers, J. Klobucnik, D. Miersch, Predicting Early Warning Signals of Financial Distress: Theory and Empirical Evidence, 2017.