Leuphana Universität Lüneburg
Organisational unit: Institution
- Published
Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data
Schumpe, B. M., Van Lissa, C. J., Bélanger, J. J., Ruggeri, K., Mierau, J., Nisa, C. F., Molinario, E., Gelfand, M. J., Stroebe, W., Agostini, M., Gützkow, B., Jeronimus, B. F., Kreienkamp, J., Kutlaca, M., Lemay, E. P., Reitsema, A. M., vanDellen, M. R., Abakoumkin, G., Abdul Khaiyom, J. H., Ahmedi, V., Akkas, H., Almenara, C. A., Atta, M., Bagci, S. C., Basel, S., Berisha Kida, E., Bernardo, A. B. I., Buttrick, N. R., Chobthamkit, P., Choi, H. S., Cristea, M., Csaba, S., Damnjanović, K., Danyliuk, I., Dash, A., Di Santo, D., Douglas, K. M., Enea, V., Faller, D., Fitzsimons, G. J., Gheorghiu, A., Gómez, Á., Hamaidia, A., Han, Q., Helmy, M., Hudiyana, J., Jiang, D. Y., Jovanović, V., Kamenov, Z., Kende, A., Keng, S. L., Kieu, T. T. T., Koc, Y., Kovyazina, K., Kozytska, I., Krause, J., Kruglanski, A. W., Kurapov, A., Lantos, N. A., Lesmana, C. B. J., Louis, W. R., Lueders, A., Malik, N. I., Martinez, A. P., McCabe, K. O., Mehulić, J., Milla, M. N., Mohammed, I., Moyano, M., Muhammad, H., Mula, S., Muluk, H., Myroniuk, S., Najafi, R., Nyúl, B., O'Keefe, P. A., Olivas Osuna, J. J., Osin, E. N., Park, J., Pica, G., Pierro, A., Rees, J. H., Resta, E., Rullo, M., Ryan, M. K., Samekin, A., Santtila, P., Sasin, E., Selim, H. A., Stanton, M. V., Sultana, S., Sutton, R. M., Tseliou, E., Utsugi, A., van Breen, J. A., Van Veen, K., Vázquez, A., Wollast, R., Yeung, V. W. L., Zand, S., Žeželj, I. L., Zheng, B., Zick, A., Zúñiga, C. & Leander, N. P., 01.12.2022, In: Scientific Reports. 12, 1, 12 p., 3824.Research output: Journal contributions › Journal articles › Research › peer-review
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Predictors and moderators of response to internet-delivered Interpersonal Psychotherapy and Cognitive Behavior Therapy for depression
Donker, T., Batterham, P. J., Warmerdam, L., Bennett, K., Bennett, A., Cuijpers, P., Griffiths, K. M. & Christensen, H., 10.2013, In: Journal of Affective Disorders. 151, 1, p. 343-351 9 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Predictive power of oil prices on CDS spread dynamics of oil-producing countries
Wegener, C., Basse, T., Maiani, S. & Nguyen, T. H., 01.05.2025, In: Energy Economics. 145, 11 p., 108375.Research output: Journal contributions › Journal articles › Research › peer-review
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Predictive modeling in e-mental health: A common language framework
Becker, D., van Breda, W., Funk, B., Hoogendoorn, M., Ruwaard, J. & Riper, H., 01.06.2018, In: Internet Interventions. 12, Juni 2018, p. 57-67 11 p.Research output: Journal contributions › Scientific review articles › Research
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Predictive mapping of species richness and plant species' distributions of a peruvian fog oasis along an altitudinal gradient
Muenchow, J., Bräuning, A., Rodríguez, E. F. & von Wehrden, H., 09.2013, In: Biotropica. 45, 5, p. 557-566 10 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Predictive Maintenance of Bearings Through IoT and Cloud-Based Systems
Meier, N., Georgiadis, A. & Sanchez, A., 03.2019, Proceedings of the 2019 International Conference on Industrial Engineering: A Regional Conference of Society for Industrial and Systems Engineering. Cordova, X., Garcia, G., Camacho, C., Vernaza, E., Fernandez, J. & Subramanian, A. (eds.). Quito, Ecuador: Society for Industrial and Systems Engineering, p. 23 1 p.Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review
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Predictions of entrepreneurial behavior: A personality approach
Rauch, A., 01.01.2014, Handbook of Research on Small Business and Entrepreneurship. Chell, E. & Karatas-Özkan, M. (eds.). Edward Elgar Publishing, p. 165–184 20 p.Research output: Contributions to collected editions/works › Chapter › peer-review
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Prediction of the tool change point in a polishing process using a modular software framework
Meier, N., Papadoudis, J. & Georgiadis, A., 2020, In: Procedia CIRP. 88, p. 341-345 5 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
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Prediction of nanoparticle transport behavior from physicochemical properties: Machine learning provides insights to guide the next generation of transport models
Goldberg, E., Scheringer, M., Bucheli, T. D. & Hungerbühler, K., 2015, In: Environmental Sciences: Nano. 2, 4, p. 352-360 9 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Prediction of improvement in quality of life (QoL-AGHDA) in adults with growth hormone deficiency by normative reference limits: data of the German KIMS cohort
Moock, J., Friedrich, N., Völzke, H., Spielhagen, C., Nauck, M., Koltowska-Häggström, M., Buchfelder, M., Wallaschofski, H. & Kohlmann, T., 01.10.2011, In: Growth Hormone and IGF Research. 21, 5, p. 272-278 7 p.Research output: Journal contributions › Journal articles › Research