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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.

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.

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.

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.

In-depth Exploration of Engagement Patterns in MOOCs (2018)
Conference Proceeding
Lei, S., & Cristea, A. (2018). In-depth Exploration of Engagement Patterns in MOOCs. In H. Hacid, W. Cellary, H. Wang, H. Paik, & R. Zhou (Eds.), Web information systems engineering - WISE 2018 : 19th International Conference, Dubai, United Arab Emirates, November 12-15, 2018. Proceedings. Part II (395-409). https://doi.org/10.1007/978-3-030-02925-8_28

With the advent of ‘big data’, various new methods have been proposed, to explore data in several domains. In the domain of learning (and e-learning, in particular), the outcomes lag somewhat behind. This is not unexpected, as e-learning has the addi... Read More about In-depth Exploration of Engagement Patterns in MOOCs.

Disrupted alternative splicing for genes implicated in splicing and ciliogenesis causes PRPF31 retinitis pigmentosa (2018)
Journal Article
Buskin, A., Zhu, L., Chichagova, V., Basu, B., Mozaffari-Jovin, S., Dolan, D., …Lako, M. (2018). Disrupted alternative splicing for genes implicated in splicing and ciliogenesis causes PRPF31 retinitis pigmentosa. Nature Communications, 9(1), Article 4234. https://doi.org/10.1038/s41467-018-06448-y

Mutations in pre-mRNA processing factors (PRPFs) cause autosomal-dominant retinitis pigmentosa (RP), but it is unclear why mutations in ubiquitously expressed genes cause non-syndromic retinal disease. Here, we generate transcriptome profiles from RP... Read More about Disrupted alternative splicing for genes implicated in splicing and ciliogenesis causes PRPF31 retinitis pigmentosa.

Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery (2018)
Book Chapter
Payen de La Garanderie, G., Atapour Abarghouei, A., & Breckon, T. P. (2018). Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery. In V. Ferrari, M. Hebert, C. Sminchisescu, & Y. Weiss (Eds.), Computer Vision – ECCV 2018 : 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XII (812-830). Springer Verlag. https://doi.org/10.1007/978-3-030-01261-8_48

Recent automotive vision work has focused almost exclusively on processing forward-facing cameras. However, future autonomous vehicles will not be viable without a more comprehensive surround sensing, akin to a human driver, as can be provided by 360... Read More about Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery.

Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers (2018)
Conference Proceeding
Vissol-Gaudin, E., Kotsialos, A., Groves, C., Pearson, C., Zeze, D., Petty, M., & Al-moubayed, N. (2018). Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers. In 2018 IEEE Congress on Evolutionary Computation (CEC) : 8-13 July 2018, Rio de Janeiro, Brazil ; proceedings (646-653). https://doi.org/10.1109/cec.2018.8477779

This paper focuses on a performance analysis of single-walled-carbon-nanotube / liquid crystal classifiers produced by evolution in materio. A new confidence measure is proposed in this paper. It is different from statistical tools commonly used to e... Read More about Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers.

Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum (2018)
Conference Proceeding
Tsakalidis, A., Aletras, N., Cristea, A., & Liakata, M. (2018). Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (367-376). https://doi.org/10.1145/3269206.3271783

Modelling user voting intention in social media is an important research area, with applications in analysing electorate behaviour, online political campaigning and advertising. Previous approaches mainly focus on predicting national general election... Read More about Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum.

An Exploration of Dropout with RNNs for Natural Language Inference (2018)
Conference Proceeding
Gajbhiye, A., Jaf, S., Al-Moubayed, N., McGough, A. S., & Bradley, S. (2018). An Exploration of Dropout with RNNs for Natural Language Inference. In V. Kurková, Y. Manolopoulos, B. Hammer, L. S. Iliadis, & I. G. Maglogiannis (Eds.), Artificial neural networks and machine learning - ICANN 2018 : 27th international Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, proceedings. Part III (157-167). https://doi.org/10.1007/978-3-030-01424-7_16

Dropout is a crucial regularization technique for the Recurrent Neural Network (RNN) models of Natural Language Inference (NLI). However, dropout has not been evaluated for the effectiveness at different layers and dropout rates in NLI models. In thi... Read More about An Exploration of Dropout with RNNs for Natural Language Inference.

Factors impeding the effective utilisation of an electronic patient report form during handover from an ambulance to an emergency department (2018)
Journal Article
Altuwaijri, E., Budgen, D., & Maxwell, S. (2019). Factors impeding the effective utilisation of an electronic patient report form during handover from an ambulance to an emergency department. Health Informatics Journal, 25(4), 1705-1721. https://doi.org/10.1177/1460458218797984

We investigated the reasons why the transition from paper to electronically formatted records during patient handover between ambulance crews and emergency department staff in a North East England Emergency Department has not always been viewed posit... Read More about Factors impeding the effective utilisation of an electronic patient report form during handover from an ambulance to an emergency department.

A Multi-Core Ready Discrete Element Method With Triangles Using Dynamically Adaptive Multiscale Grids (2018)
Journal Article
Krestenitis, K., & Weinzierl, T. (2019). A Multi-Core Ready Discrete Element Method With Triangles Using Dynamically Adaptive Multiscale Grids. Concurrency and Computation: Practice and Experience, 31(19), Article e4935. https://doi.org/10.1002/cpe.4935

The simulation of vast numbers of rigid bodies of non‐analytical shapes and of tremendously different sizes that collide with each other is computationally challenging. A bottleneck is the identification of all particle contact points per time step.... Read More about A Multi-Core Ready Discrete Element Method With Triangles Using Dynamically Adaptive Multiscale Grids.

Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses (2018)
Conference Proceeding
Cristea, A. I., Alamri, A., Kayama, M., Stewart, C., Alshehri, 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.), Designing Digitalization (ISD2018 Proceedings)

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.