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Monte Carlo sampling for error propagation in linear regression and applications in isochron geochronology (2018)
Journal Article
Li, Y., Zhang, S., Hobbs, R., Caiado, C., Sproson, A., Selby, D., & Rooney, A. (2019). Monte Carlo sampling for error propagation in linear regression and applications in isochron geochronology. Science Bulletin, 64(3), 189-197. https://doi.org/10.1016/j.scib.2018.12.019

Geochronology is essential for understanding Earth’s history. The availability of precise and accurate isotopic data is increasing; hence it is crucial to develop transparent and accessible data reduction techniques and tools to transform raw mass sp... Read More about Monte Carlo sampling for error propagation in linear regression and applications in isochron geochronology.

Noise-free generation of bright matter-wave solitons (2018)
Journal Article
Edmonds, M., Billam, T., Gardiner, S., & Busch, T. (2018). Noise-free generation of bright matter-wave solitons. Physical Review A, 98(6), Article 063626. https://doi.org/10.1103/physreva.98.063626

We show how access to sufficiently flexible trapping potentials could be exploited in the generation of three-dimensional atomic bright matter-wave solitons. Our proposal provides a route towards producing bright solitonic states with good fidelity,... Read More about Noise-free generation of bright matter-wave solitons.

What drives at-risk species richness? Environmental factors are more influential than anthropogenic factors or biological traits (2018)
Journal Article
Howard, C., Flather, C., & Stephens, P. (2019). What drives at-risk species richness? Environmental factors are more influential than anthropogenic factors or biological traits. Conservation Letters, 12(2), Article e12624. https://doi.org/10.1111/conl.12624

Species at risk of extinction are not uniformly distributed in space. Concentrations of threatened species may occur where threatening processes are intense, in refuges from those processes, or in areas of high species diversity. However, there have... Read More about What drives at-risk species richness? Environmental factors are more influential than anthropogenic factors or biological traits.

Ecology: Luck, Scarcity and the Fate of Populations (2018)
Journal Article
Stephens, P. (2018). Ecology: Luck, Scarcity and the Fate of Populations. Current Biology, 28(24), R1384-R1386. https://doi.org/10.1016/j.cub.2018.10.059

An animal’s choice of diet plays a large part in determining whether it will find food during a period of searching. This has profound implications for the likelihood of reproductive success or starvation and many other important questions in ecology... Read More about Ecology: Luck, Scarcity and the Fate of Populations.

Directory of UK Based Test and Demonstration Facilities for Wind Technologies (2018)
Report
Zappalá, D., Crabtree, C., & Hogg, S. (2018). Directory of UK Based Test and Demonstration Facilities for Wind Technologies. [No known commissioning body]

The UK’s extensive wind resource and rich history in the energy industry have made the UK internationally leading in both academic understanding and technology development capability in the wind energy sector. The sector is continuously and dynamical... Read More about Directory of UK Based Test and Demonstration Facilities for Wind Technologies.

Geothermal Potential of the Global Oil Industry (2018)
Book Chapter
Gluyas, J., Auld, A., Adams, C., Hirst, C., Hogg, S., & Craig, J. (2019). Geothermal Potential of the Global Oil Industry. In B. I. Ismail (Ed.), Renewable geothermal energy explorations (1-11). InTechOpen. https://doi.org/10.5772/intechopen.81062

There are around 40 new geothermal power projects commissioned in each of the last few years. Growth of the market is around 5% annually and current installed capacity is about 13,300 MW with about the same in development in 24 countries. These figur... Read More about Geothermal Potential of the Global Oil Industry.

How is learning fluctuating? FutureLearn MOOCs fine-grained temporal Analysis and Feedback to Teachers (2018)
Conference Proceeding
Cristea, A., Alshehri, M., Alamri, A., Kayama, M., Stewart, C., & Shi, L. (2018). How is learning fluctuating? FutureLearn MOOCs fine-grained temporal Analysis and Feedback to Teachers. In B. Andersson, B. Johansson, S. Carlsson, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Proceedings of the 27th International Conference on Information Systems Development (ISD2018), Education Track, Lund, Sweden, August 22-24, 2018

Data-intensive analysis of massive open online courses (MOOCs) is popular. Researchers have been proposing various parameters conducive to analysis and prediction of student behaviour and outcomes in MOOCs, as well as different methods to analyse and... Read More about How is learning fluctuating? FutureLearn MOOCs fine-grained temporal Analysis and Feedback to Teachers.

Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses (2018)
Conference Proceeding
Cristea, A., Alamri, A., Kayama, M., Stewart, C., Alsheri, M., & Shi, L. (2018). Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses. In B. Andersson, B. Johansson, S. Carlsson, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Information Systems Development: Designing Digitalization (ISD2018 Proceedings). Lund, Sweden: Lund University

Whilst a high dropout rate is a well-known problem in MOOCs, few studies take a data-driven approach to understand the reasons of such a phenomenon, and to thus be in the position to recommend and design possible adaptive solutions to alleviate it. I... Read More about Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses.

Demographic Indicators Influencing Learning Activities in MOOCs: Learning Analytics of FutureLearn Courses (2018)
Conference Proceeding
Shi, L., & Cristea, A. (2018). Demographic Indicators Influencing Learning Activities in MOOCs: Learning Analytics of FutureLearn Courses. In B. Andersson, B. Johansson, S. Carlsson, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Information Systems Development: Designing Digitalization (ISD2018 Proceedings). Lund, Sweden: Lund University

Big data and analytics for educational information systems, despite having gained researchers’ attention, are still in their infancy and will take years to mature. Massive open online courses (MOOCs), which record learner-computer interactions, bring... Read More about Demographic Indicators Influencing Learning Activities in MOOCs: Learning Analytics of FutureLearn Courses.