Outputs (53)

Galaxy assembly bias and large-scale distribution: a comparison between IllustrisTNG and a semi-analytic model (2021)
Journal Article
Hadzhiyska, B., Liu, S., Somerville, R. S., Gabrielpillai, A., Bose, S., Eisenstein, D., & Hernquist, L. (2021). Galaxy assembly bias and large-scale distribution: a comparison between IllustrisTNG and a semi-analytic model. Monthly Notices of the Royal Astronomical Society, 508(1), 698-718. https://doi.org/10.1093/mnras/stab2564

In this work, we compare large scale structure observables for stellar mass selected samples at z = 0, as predicted by two galaxy models, the hydrodynamical simulation IllustrisTNG and the Santa-Cruz semi-analytic model (SC-SAM). Although both models... Read More about Galaxy assembly bias and large-scale distribution: a comparison between IllustrisTNG and a semi-analytic model.

AbacusSummit: a massive set of high-accuracy, high-resolution N-body simulations (2021)
Journal Article
Maksimova, N. A., Garrison, L. H., Eisenstein, D. J., Hadzhiyska, B., Bose, S., & Satterthwaite, T. P. (2021). AbacusSummit: a massive set of high-accuracy, high-resolution N-body simulations. Monthly Notices of the Royal Astronomical Society, 508(3), 4017-4037. https://doi.org/10.1093/mnras/stab2484

We present the public data release of the ABACUSSUMMIT cosmological N-body simulation suite, produced with the ABACUS N-body code on the Summit supercomputer of the Oak Ridge Leadership Computing Facility. ABACUS achieves O(10−5) median fractional fo... Read More about AbacusSummit: a massive set of high-accuracy, high-resolution N-body simulations.

How good is the evidence that cellular senescence causes skin ageing? (2021)
Journal Article
Low, E., Alimohammadiha, G., Smith, L. A., Costello, L. F., Przyborski, S. A., von Zglinicki, T., & Miwa, S. (2021). How good is the evidence that cellular senescence causes skin ageing?. Ageing Research Reviews, 71, https://doi.org/10.1016/j.arr.2021.101456

Skin is the largest organ of the body with important protective functions, which become compromised with time due to both intrinsic and extrinsic ageing processes. Cellular senescence is the primary ageing process at cell level, associated with loss... Read More about How good is the evidence that cellular senescence causes skin ageing?.

MOOCSent: a Sentiment Predictor for Massive Open Online Courses (2021)
Presentation / Conference Contribution
Alsheri, M. A., Alrajhi, L. M., Alamri, A., & Cristea, A. I. (2021, September). MOOCSent: a Sentiment Predictor for Massive Open Online Courses. Presented at 29th International Conference on Information systems and Development (ISD2021), Valencia, Spain

One key type of Massive Open Online Course (MOOC) data is the learners’ social interaction (forum). While several studies have analysed MOOC forums to predict learning outcomes, analysing learners’ sentiments in education and, specifically, in MOOCs,... Read More about MOOCSent: a Sentiment Predictor for Massive Open Online Courses.

Roadmap on Atomtronics: State of the art and perspective (2021)
Journal Article
Amico, L., Boshier, M., Birkl, G., Minguzzi, A., Miniatura, C., Kwek, L.-C., Aghamalyan, D., Ahufinger, V., Anderson, D., Andrei, N., Arnold, A., Baker, M., Bell, T., Bland, T., Brantut, J., Cassettari, D., Chetcuti, W., Chevy, F., Citro, R., De Palo, S., …Yakimenko, A. (2021). Roadmap on Atomtronics: State of the art and perspective. AVS Quantum Science, 3(3), Article 039201. https://doi.org/10.1116/5.0026178

Atomtronics deals with matter-wave circuits of ultracold atoms manipulated through magnetic or laser-generated guides with different shapes and intensities. In this way, new types of quantum networks can be constructed in which coherent fluids are co... Read More about Roadmap on Atomtronics: State of the art and perspective.

Explaining Individual and Collective Programming Students’ Behavior by Interpreting a Black-Box Predictive Model (2021)
Journal Article
Pereira, F. D., Fonseca, S. C., Oliveira, E. H., Cristea, A. I., Bellhauser, H., Rodrigues, L., Oliveira, D. B., Isotani, S., & Carvalho, L. S. (2021). Explaining Individual and Collective Programming Students’ Behavior by Interpreting a Black-Box Predictive Model. IEEE Access, 9, 117097-117119. https://doi.org/10.1109/access.2021.3105956

Predicting student performance as early as possible and analysing to which extent initial student behaviour could lead to failure or success is critical in introductory programming (CS1) courses, for allowing prompt intervention in a move towards all... Read More about Explaining Individual and Collective Programming Students’ Behavior by Interpreting a Black-Box Predictive Model.

The Cell-Permeable Derivative of the Immunoregulatory Metabolite Itaconate, 4-Octyl Itaconate, Is Anti-Fibrotic in Systemic Sclerosis (2021)
Journal Article
Henderson, J., Dayalan Naidu, S., Dinkova-Kostova, A. T., Przyborski, S., Stratton, R., & O′Reilly, S. (2021). The Cell-Permeable Derivative of the Immunoregulatory Metabolite Itaconate, 4-Octyl Itaconate, Is Anti-Fibrotic in Systemic Sclerosis. Cells, 10(8), https://doi.org/10.3390/cells10082053

Systemic sclerosis (SSc) is an autoimmune connective tissue disease that leads to skin fibrosis. Altered metabolism has recently been described in autoimmune diseases and SSc. Itaconate is a product of the Krebs cycle intermediate cis-aconitate and i... Read More about The Cell-Permeable Derivative of the Immunoregulatory Metabolite Itaconate, 4-Octyl Itaconate, Is Anti-Fibrotic in Systemic Sclerosis.

Forum-based Prediction of Certification in Massive Open Online Courses (2021)
Presentation / Conference Contribution
Alsheri, M. A., Alamri, A., Cristea, A. I., & Stewart, C. D. (2021, September). Forum-based Prediction of Certification in Massive Open Online Courses. Presented at 29th International Conference on Information systems and Development (ISD2021), Valencia, Spain

Massive Open Online Courses (MOOCs) have been suffering a very level of low course certification (less than 1% of the total number of enrolled students on a given online course opt to purchase its certificate), although MOOC platforms have been offer... Read More about Forum-based Prediction of Certification in Massive Open Online Courses.

Quality perception and discrimination thresholds in quantised triangle meshes (2021)
Presentation / Conference Contribution
Almutairi, A., Saarela, T., & Ivrissimtzis, I. (2021, June). Quality perception and discrimination thresholds in quantised triangle meshes. Presented at Sixth International Workshop on Pattern Recognition, Beijing, China

At certain stages of the graphics pipeline, and most notably during compression for transmission and storage, triangle meshes may undergo a fixed-point arithmetic quantisation of their vertex coordinates. This paper presents the results of a psychoph... Read More about Quality perception and discrimination thresholds in quantised triangle meshes.

Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations (2021)
Journal Article
Aljohani, T., & Cristea, A. I. (2021). Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations. Frontiers in Research Metrics and Analytics, 6, Article 673928. https://doi.org/10.3389/frma.2021.673928

Massive Open Online Courses (MOOCs) have become universal learning resources, and the COVID-19 pandemic is rendering these platforms even more necessary. In this paper, we seek to improve Learner Profiling (LP), i.e. estimating the demographic charac... Read More about Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations.