Dobbs, N., & Todd, M. (2023). Free Energy and Equilibrium States for Families of Interval Maps (Vol. 286). doi:10.1090/memo/1417

IAEA., & Murphy, P. (2022). Exposure Due to Radionuclides
in Food Other Than During a
Nuclear or Radiological Emergency. Vienna: IAEA.

Unger, T. (2022). Translation of, and contributions to, "Real Algebra: A First Course" by Manfred Knebusch and Claus Scheiderer. Cham: Springer Nature.

Casa, A., Cappozzo, A., & Fop, M. (2023). Penalized Model-Based Clustering with Group-Dependent Shrinkage Estimation. In Building Bridges between Soft and Statistical Methodologies for Data Science (pp. 73-78). Springer International Publishing. doi:10.1007/978-3-031-15509-3_10

Scrucca, L., Fraley, C., Murphy, T. B., & Raftery, A. E. (2023). Introduction. In Model-Based Clustering, Classification, and Density Estimation Using mclust in R (pp. 1-6). Chapman and Hall/CRC. doi:10.1201/9781003277965-1

Scrucca, L., Fraley, C., Murphy, T. B., & Raftery, A. E. (2023). Model-Based Clustering. In Model-Based Clustering, Classification, and Density Estimation Using mclust in R (pp. 27-80). Chapman and Hall/CRC. doi:10.1201/9781003277965-3

Scrucca, L., Fraley, C., Murphy, T. B., & Raftery, A. E. (2023). Mixture-Based Classification. In Model-Based Clustering, Classification, and Density Estimation Using mclust in R (pp. 81-128). Chapman and Hall/CRC. doi:10.1201/9781003277965-4

Scrucca, L., Fraley, C., Murphy, T. B., & Raftery, A. E. (2023). Model-Based Density Estimation. In Model-Based Clustering, Classification, and Density Estimation Using mclust in R (pp. 129-152). Chapman and Hall/CRC. doi:10.1201/9781003277965-5

Scrucca, L., Fraley, C., Murphy, T. B., & Raftery, A. E. (2023). Visualizing Gaussian Mixture Models. In Model-Based Clustering, Classification, and Density Estimation Using mclust in R (pp. 153-188). Chapman and Hall/CRC. doi:10.1201/9781003277965-6

Scrucca, L., Fraley, C., Murphy, T. B., & Raftery, A. E. (2023). Miscellanea. In Model-Based Clustering, Classification, and Density Estimation Using mclust in R (pp. 189-226). Chapman and Hall/CRC. doi:10.1201/9781003277965-7

Scrucca, L., Fraley, C., Murphy, T. B., & Raftery, A. E. (2023). Finite Mixture Models. In Model-Based Clustering, Classification, and Density Estimation Using mclust in R (pp. 7-26). Chapman and Hall/CRC. doi:10.1201/9781003277965-2

Perrotta, A., Monaco, A., & Bliatsios, G. (2022). Data Analytics for Credit Risk Models in Retail Banking. In Data Science and Big Data Analytics in Smart Environments Vol. II. Boca Raton: Taylor and Francis.

Knebusch, M., Scheiderer, C., & Unger, T. (2022). Recent developments. In Real Algebra: A First Course. Cham: Springer Nature.

Nasim, A., Velayudhan, D., Ahmed, A. H., Hassan, T., Akcay, S., Akram, M. U., & Werghi, N. (2023). Incremental Instance Segmentation for Cluttered Baggage Threat Detection. In CIVEMSA 2023 - IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings. doi:10.1109/CIVEMSA57781.2023.10231011

Byrne, E. (2023). q-Matroids, their Cyclic Flats and Relations to Codes. In Algebraic and Combinatorial Methods for Coding and Cryptography. CIRM, Marseilles.

Byrne, E. (2023). The Rank Generating Polynomial of a q-Polymatroid. In 29th Nordic Congress of Mathematicians with EMS. Aalborg, Denmark.

Byrne, E. (2023). Invariants of q-Polymatroids. In Society of Industrial and Applied Mathematics Conference on Applied Algebraic Geometry. Eindhoven.

Cronin, A., & Mullen, C. (2023). A university mathematics transition programme designed to increase student engagement with mathematics support. In O. Viirman (Ed.), https://hal.science/CERME12/search/index/?q=%2A&domain_t=math (pp. 2463-2470). Bolzano, Italy: Hodgen, J., Geraniou, E., Bolondi, G. & Ferretti, F. (Eds.), (2022). Proceedings of the Twelfth Congress of European Research Society in Mathematics Education (CERME12). Free University of Bozen-Bolzano and ERME.. Retrieved from https://hal.science/CERME12/search/index/?q=%2A&domain_t=math

Ni Shuilleabhain, A., Neururer, R., Hyland, D., & Sievwright, C. (2023). Exploring the prevalence of structured problem solving in research lessons: a post-intervention study from Ireland. In CERME 13 (Congress of European Researchers in Mathematics Education). Budapest, Hungary.

Barana, A., Marchisio, M., Perrotta, A., & Sacchet, M. (2023). Collaborative knowledge construction during computational lab activities in Financial Mathematics. In International Conference on Higher Education Advances (pp. 1021-1028). doi:10.4995/HEAd23.2023.16227

Antonelli, L., De Simone, V., & Viola, M. (2023). Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14009 LNCS (pp. 511-521). doi:10.1007/978-3-031-31975-4_39

Abbott, R., Abbott, T. D., Acernese, F., Ackley, K., Adams, C., Adhikari, N., et al. (2023). Population of Merging Compact Binaries Inferred Using Gravitational Waves through GWTC-3. Physical Review X, 13(1). doi:10.1103/PhysRevX.13.011048

de Souza Bastos, F., Barreto-Souza, W., & Genton, M. G. (2022). A GENERALIZED HECKMAN MODEL WITH VARYING SAMPLE SELECTION BIAS AND DISPERSION PARAMETERS. Statistica Sinica, 32(4), 1911-1938. doi:10.5705/ss.202021.0068

Sundararajan, R. R., & Barreto-Souza, W. (2023). Student-t stochastic volatility model with composite likelihood EM-algorithm. Journal of Time Series Analysis, 44(1), 125-147. doi:10.1111/jtsa.12652

Piancastelli, L. S. C., Friel, N., Barreto-Souza, W., & Ombao, H. (2023). Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference. Journal of Computational and Graphical Statistics, 32(2), 483-500. doi:10.1080/10618600.2022.2116443

Barreto-Souza, W., & Chan, N. H. (2023). Nearly unstable integer-valued ARCH process and unit root testing. Scandinavian Journal of Statistics. doi:10.1111/sjos.12689

Piancastelli, L. S. C., Barreto-Souza, W., & Ombao, H. (2023). Flexible bivariate INGARCH process with a broad range of contemporaneous correlation. Journal of Time Series Analysis, 44(2), 206-222. doi:10.1111/jtsa.12663

Barreto-Souza, W., Ndreca, S., Silva, R. B., & Silva, R. W. C. (2023). Non-linear INAR(1) processes under an alternative geometric thinning operator. Test, 32(2), 695-725. doi:10.1007/s11749-023-00849-y

Benham, G. P., Neufeld, J. A., & Woods, A. W. (2022). Axisymmetric gravity currents in anisotropic porous media. Journal of Fluid Mechanics, 952. doi:10.1017/jfm.2022.922

Benham, G. P. (2023). The near-field shape and stability of a porous plume. Journal of Fluid Mechanics, 955. doi:10.1017/jfm.2022.1068

Boyd, C., Ryan, R. A., & Snigireva, N. (2023). A NAKANO CARRIER THEOREM FOR POLYNOMIALS. Proceedings of the American Mathematical Society, 151(4), 1621-1635. doi:10.1090/proc/16225

Boyd, C., Poulios, C., & Venkova, M. (2023). Duality for spaces of polynomials on tree spaces. Journal of Mathematical Analysis and Applications, 524(2). doi:10.1016/j.jmaa.2023.127079

Hayat, U., Ullah, I., Murtaza, G., Azam, N. A., & Bustamante, M. D. (2022). Enumerating Discrete Resonant Rossby/Drift Wave Triads and Their Application in Information Security. Mathematics, 10(23). doi:10.3390/math10234395

Sattar, K. A., Haider, T., Hayat, U., & Bustamante, M. D. (2023). An Efficient and Secure Cryptographic Algorithm Using Elliptic Curves and Max-Plus Algebra-Based Wavelet Transform. Applied Sciences (Switzerland), 13(14). doi:10.3390/app13148385

Büyükboduk, K., & Sakamoto, R. (2022). On the non-critical exceptional zeros of Katz p-adic L-functions for CM fields. Advances in Mathematics, 406. doi:10.1016/j.aim.2022.108478

Büyükboduk, K., & Lei, A. (2022). Iwasawa theory for GL <inf>2</inf>× Res <inf>K</inf><inf>/</inf><inf>Q</inf>GL <inf>1</inf>. Annales Mathematiques du Quebec, 46(2), 347-418. doi:10.1007/s40316-022-00197-7

Benois, D., & Büyükboduk, K. (2022). Interpolation of Beilinson–Kato elements and p-adic L-functions. Annales Mathematiques du Quebec, 46(2), 231-287. doi:10.1007/s40316-021-00172-8

Benois, D., & Büyükboduk, K. (2023). ON THE EXCEPTIONAL ZEROS OF p-NON-ORDINARY p-ADIC L-FUNCTIONS AND A CONJECTURE OF PERRIN-RIOU. Transactions of the American Mathematical Society, 376(1), 231-284. doi:10.1090/tran/8704

Büyükboduk, K., & Sakamoto, R. (2023). L-Invariants, p-Adic Heights, and Factorization of p-Adic L-Functions. International Mathematics Research Notices, 2023(4), 2867-2943. doi:10.1093/imrn/rnab322

Duchet, B., Bick, C., & Byrne, Á. (2023). Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity. Neural computation, 35(9), 1481-1528. doi:10.1162/neco_a_01601

Byrne, E., Horlemann, A. L., Khathuria, K., & Weger, V. (2022). Density of free modules over finite chain rings. Linear Algebra and Its Applications, 651, 1-25. doi:10.1016/j.laa.2022.06.013

Bonini, M., Borello, M., & Byrne, E. (2023). Saturating systems and the rank-metric covering radius. Journal of Algebraic Combinatorics. doi:10.1007/s10801-023-01269-9

Byrne, E., Gnilke, O. W., & Kliewer, J. (2023). Straggler- and Adversary-Tolerant Secure Distributed Matrix Multiplication Using Polynomial Codes. Entropy, 25(2). doi:10.3390/e25020266

Byrne, E., Ceria, M., Ionica, S., Jurrius, R., & Saçikara, E. (2023). Constructions of new matroids and designs over F<inf>q</inf>. Designs, Codes, and Cryptography, 91(2), 451-473. doi:10.1007/s10623-022-01087-3

Byrne, E., & Weger, V. (2023). Bounds in the Lee metric and optimal codes. Finite Fields and their Applications, 87. doi:10.1016/j.ffa.2022.102151

Chiara Leva, M., Demichela, M., Comberti, L., & Caimo, A. (2022). Human performance in manufacturing tasks: Optimization and assessment of required workload and capabilities. Safety Science, 154. doi:10.1016/j.ssci.2022.105838

Caimo, A., & Gollini, I. (2023). Recent Advances In Exponential Random Graph Modelling. Mathematical Proceedings of the Royal Irish Academy, 123A(1), 1-12. doi:10.1353/mpr.2023.0000

Dolan, P., Vertigans, S., & Connolly, J. (2023). Theorising political legitimisation: From stasis to processes. European Journal of Social Theory. doi:10.1177/13684310231184600

Cruz, C., O’Connell, J., McGuinness, K., Martin, J. R., Perrin, P. M., & Connolly, J. (2023). Assessing the effectiveness of UAV data for accurate coastal dune habitat mapping. European Journal of Remote Sensing, 56(1). doi:10.1080/22797254.2023.2191870

Ingle, R., Bhatnagar, S., Ghosh, B., Gill, L., Regan, S., Connolly, J., & Saunders, M. (2023). Development of Hybrid Models to Estimate Gross Primary Productivity at a Near-Natural Peatland Using Sentinel 2 Data and a Light Use Efficiency Model. Remote Sensing, 15(6). doi:10.3390/rs15061673

Cronin, A., & Stewart, S. (2022). Analysis of tutors’ responses to students’ queries in a second linear algebra course at a mathematics support center. Journal of Mathematical Behavior, 67. doi:10.1016/j.jmathb.2022.100987

Calvino, C., Dabrowski, T., & Dias, F. (2022). A study of the sea level and current effects on the sea state in Galway Bay, using the numerical model COAWST. Ocean Dynamics, 72(11-12), 761-774. doi:10.1007/s10236-022-01532-w

Smith, R., Dias, F., Facciolo, G., & Murphy, T. B. (2023). Pre-computation of image features for the classification of dynamic properties in breaking waves. European Journal of Remote Sensing, 56(1). doi:10.1080/22797254.2022.2163707

Nie, B. C., Guan, X., Vanden-Broeck, J. M., & Dias, F. (2023). Air/water interfacial waves with a droplet at the tip of their crest. Physics of Fluids, 35(1). doi:10.1063/5.0131944

Calvino, C., Dabrowski, T., & Dias, F. (2023). A study of the wave effects on the current circulation in Galway Bay, using the numerical model COAWST. Coastal Engineering, 180. doi:10.1016/j.coastaleng.2022.104251

Renzi, E., Bergin, C., Kokina, T., Pelaez-Zapata, D. S., Giles, D., & Dias, F. (2023). Meteotsunamis and other anomalous "tidal surge" events in Western Europe in Summer 2022. Physics of Fluids, 35(4). doi:10.1063/5.0139220

Stellin, F., Filoche, M., & Dias, F. (2023). Localization landscape for interacting Bose gases in one-dimensional speckle potentials. Physical Review A, 107(4). doi:10.1103/PhysRevA.107.043306

Dobbs, N., Graczyk, J., & Mihalache, N. (2023). Hausdorff Dimension of Julia Sets in the Logistic Family. Communications in Mathematical Physics, 399(2), 673-716. doi:10.1007/s00220-022-04568-7

Bényi, B., Claesson, A., & Dukes, M. (2023). Weak ascent sequences and related combinatorial structures. European Journal of Combinatorics, 108. doi:10.1016/j.ejc.2022.103633

Fitzgerald, C. (2023). A Theoretical Foundation for Classical Character Archetypes. Journal of College and Character, 24(1), 41-51. doi:10.1080/2194587x.2022.2157440

Fitzgerald, C. (2023). Character Development in Higher Education Using Classical Archetypes. Journal of College and Character, 24(1), 21-40. doi:10.1080/2194587x.2022.2157438

Casa, A., Cappozzo, A., & Fop, M. (2022). Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering. Journal of Classification, 39(3), 648-674. doi:10.1007/s00357-022-09421-z

D’Angelo, S., Alfò, M., & Fop, M. (2023). Model-based clustering for multidimensional social networks. Journal of the Royal Statistical Society Series A: Statistics in Society, 186(3), 481-507. doi:10.1093/jrsssa/qnac011

Nagle, M., Price, S., Trotta, A., Destrade, M., Fop, M., & Ní Annaidh, A. (2023). Analysis of In Vivo Skin Anisotropy Using Elastic Wave Measurements and Bayesian Modelling. Annals of Biomedical Engineering, 51(8), 1781-1794. doi:10.1007/s10439-023-03185-2

Xian Yao, G., Gormley, I. C., & Fop, M. (2023). A Latent Shrinkage Position Model for Binary and Count Network Data. Bayesian Analysis.

Meagher, J., & Friel, N. (2022). Assessing epidemic curves for evidence of superspreading. Journal of the Royal Statistical Society. Series A: Statistics in Society, 185(4), 2179-2202. doi:10.1111/rssa.12919

Piancastelli, L. S. C., Friel, N., Barreto-Souza, W., & Ombao, H. (2023). Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference. Journal of Computational and Graphical Statistics, 32(2), 483-500. doi:10.1080/10618600.2022.2116443

Gardiner, S. J., & Render, H. (2022). Harmonic extension through conical surfaces. Mathematische Annalen, 384(3-4), 1593-1627. doi:10.1007/s00208-021-02310-7

Devine, D., Ghergu, M., & Karageorgis, P. (2023). QUASILINEAR ELLIPTIC INEQUALITIES WITH NONLINEAR CONVOLUTION TERMS AND POTENTIALS OF SLOW DECAY. Differential and Integral Equations, 36(1-2), 1-20. doi:10.57262/die036-0102-1

Ghergu, M., Miyamoto, Y., & Suzuki, M. (2023). Solvability for time-fractional semilinear parabolic equations with singular initial data. Mathematical Methods in the Applied Sciences, 46(6), 6686-6704. doi:10.1002/mma.8933

Ghergu, M., Liu, Z., Miyamoto, Y., & Moroz, V. (2023). Nonlinear Inequalities with Double Riesz Potentials. Potential Analysis, 59(1), 97-112. doi:10.1007/s11118-021-09962-9

Ghergu, M. (2023). Steady state solutions for the Gierer-Meinhardt system in the whole space. Journal of Differential Equations, 363, 518-545. doi:10.1016/j.jde.2023.03.040

Jain, M., Sengar, V. S., Gollini, I., Bertolotto, M., McArdle, G., & Dev, S. (2022). LAMSkyCam: A low-cost and miniature ground-based sky camera. HardwareX, 12. doi:10.1016/j.ohx.2022.e00346

Caimo, A., & Gollini, I. (2023). Recent Advances In Exponential Random Graph Modelling. Mathematical Proceedings of the Royal Irish Academy, 123A(1), 1-12. doi:10.1353/mpr.2023.0000

O’Reilly, D., Murphy, C. A., Moore, C. M., Ní Áinle, F., Gormley, I. C., Morrell, C. N., et al. (2023). Markers of platelet activation foR identification of late onset sEpsis in infaNTs: PARENT study protocol. Pediatric Research. doi:10.1038/s41390-023-02812-x

Gupta, S., Gormley, I. C., & Brennan, L. (2023). MetaboVariation: Exploring Individual Variation in Metabolite Levels. Metabolites, 13(2). doi:10.3390/metabo13020164

Gormley, I. C., Murphy, T. B., & Raftery, A. E. (2023). Model-Based Clustering. Annual Review of Statistics and Its Application, 10, 573-595. doi:10.1146/annurev-statistics-033121-115326

Frizzarin, M., Gormley, I. C., Berry, D. P., & McParland, S. (2023). Estimation of body condition score change in dairy cows in a seasonal calving pasture-based system using routinely available milk mid-infrared spectra and machine learning techniques. Journal of Dairy Science, 106(6), 4232-4244. doi:10.3168/jds.2022-22394

Tavernier, E., Gormley, I. C., Delaby, L., McParland, S., O'Donovan, M., & Berry, D. P. (2023). Cow-level factors associated with nitrogen utilization in grazing dairy cows using a cross-sectional analysis of a large database.. Journal of dairy science, S0022-0302(23)00548-9. doi:10.3168/jds.2023-23606

Frizzarin, M., Miglior, F., Berry, D. P., Gormley, I. C., & Baes, C. F. (2023). Usefulness of mid-infrared spectroscopy as a tool to estimate body condition score change from milk samples in intensively-fed dairy cows.. Journal of dairy science, S0022-0302(23)00554-4. doi:10.3168/jds.2023-23290

Xian Yao, G., Gormley, I. C., & Fop, M. (2023). A Latent Shrinkage Position Model for Binary and Count Network Data. Bayesian Analysis.

Brennan, V., Martin-Grace, J., Greene, G., Heverin, K., Mulvey, C., McCartan, T., et al. (2022). The Contribution of Oral and Inhaled Glucocorticoids to Adrenal Insufficiency in Asthma. Journal of Allergy and Clinical Immunology: In Practice, 10(10), 2614-2623. doi:10.1016/j.jaip.2022.05.031

Cushen, B., Alsaid, A., Greene, G., & Costello, R. W. (2023). A Randomized Study to Compare Response to Bronchodilators Administered via Different Nebulizers in COPD Exacerbations.. Respiratory care, respcare.10132. doi:10.4187/respcare.10132

Hale, E. M., Greene, G., Mulvey, C., Mokoka, M. C., van Boven, J. F. M., Cushen, B., et al. (2023). Use of digital measurement of medication adherence and lung function to guide the management of uncontrolled asthma (INCA Sun): a multicentre, single-blinded, randomised clinical trial. The Lancet Respiratory Medicine, 11(7), 591-601. doi:10.1016/S2213-2600(22)00534-3

Gassner, N., Greferath, M., Rosenthal, J., & Weger, V. (2022). Bounds for Coding Theory over Rings. Entropy, 24(10). doi:10.3390/e24101473

Tekin, E., Gnilke, O. W., Özbudak, F., Blümich, B., & Greferath, M. (2023). Almost perfect autocorrelation sequences with small number of pauses for applications in magnetic resonance. Cryptography and Communications. doi:10.1007/s12095-023-00659-x

Nee, P. J., & Herterich, J. G. (2022). Modelling road cycling as motion on a curve. Sports Engineering, 25(1). doi:10.1007/s12283-022-00376-3

Li, L., Fu, Y., Zhu, D., Li, X., Sun, Y., Ding, J., et al. (2023). DCRL-KG: Distributed Multi-Modal Knowledge Graph Retrieval Platform Based on Collaborative Representation Learning. Intelligent Automation and Soft Computing, 36(3), 3295-3307. doi:10.32604/iasc.2023.035257

Li, L., Wang, Y., Zhu, D., Li, X., Du, H., Lu, Y., et al. (2023). Dis-NDVW: Distributed Network Asset Detection and Vulnerability Warning Platform. Computers, Materials and Continua, 76(1), 771-791. doi:10.32604/cmc.2023.038268

Yu, F., Bi, W., Cao, N., Li, H., & Higgs, R. (2023). Customer Churn Prediction Framework of Inclusive Finance Based on Blockchain Smart Contract. Computer Systems Science and Engineering, 47(1), 1-17. doi:10.32604/csse.2023.018349

You, C., Lin, G., Qiu, J., Cao, N., Sun, Y., & Higgs, R. (2023). Sensor Network Structure Recognition Based on P-law. Computer Systems Science and Engineering, 46(2), 1277-1292. doi:10.32604/csse.2023.026150

Yu, H. J., Qiu, J., Cao, N., & Higgs, R. (2023). Intelligent Color Reasoning of IOT Based on P-laws. Computer Systems Science and Engineering, 45(3), 3181-3193. doi:10.32604/csse.2023.030985

Higgs, R. J., Finnegan, C., & Healy, D. (2023). Groups with three projective characters. Communications in Algebra. doi:10.1080/00927872.2023.2255670

Finnegan, C., & Higgs, R. J. (2023). Projective characters of metacyclic p-groups. Communications in Algebra, 51(7), 2736-2747. doi:10.1080/00927872.2023.2172176

Higgs, R. J. (2023). STRICT REGULARITY FOR -COCYCLES OF FINITE GROUPS. Bulletin of the Australian Mathematical Society, 46(2). doi:10.1017/S0004972723000230

Higgs, R. J. (2023). HALL SUBGROUPS AND -COCYCLE REGULARITY. Bulletin of the Australian Mathematical Society, 24(3-4), 1-6. doi:10.1017/S0004972723000242

Mahon, C., Howard, E., O'Reilly, A., Dooley, B., & Fitzgerald, A. (2022). A cluster analysis of health behaviours and their relationship to mental health difficulties, life satisfaction and functioning in adolescents. Preventive Medicine, 164. doi:10.1016/j.ypmed.2022.107332

Meehan, M., & Howard, E. (2023). The university mathematics lecture: to record, or not to record, that is the question. Mathematics Education Research Journal. doi:10.1007/s13394-023-00444-2

Hyland, D., & O’Shea, A. (2022). How Well Do High-Achieving Undergraduate Students Understand School Algebra?. Canadian Journal of Science, Mathematics and Technology Education, 22(4), 818-834. doi:10.1007/s42330-022-00256-9

Hyland, D., van Kampen, P., & Nolan, B. (2023). Student perceptions of a guided inquiry approach to a service-taught ordinary differential equations course. International Journal of Mathematical Education in Science and Technology, 54(2), 250-276. doi:10.1080/0020739X.2021.1953627

Toale, J., Kelly, G., Hajduk, P., & Cascio, S. (2022). Assessing the outcomes of parasacral transcutaneous electrical nerve stimulation (PTENS) in the treatment of enuresis in children: A systematic review and meta-analysis of randomized control trials. Neurourology and Urodynamics, 41(8), 1659-1669. doi:10.1002/nau.25039

Levene, R. H., Oblak, P., & Šmigoc, H. (2022). Orthogonal symmetric matrices and joins of graphs. Linear Algebra and Its Applications, 652, 213-238. doi:10.1016/j.laa.2022.07.007

Levene, R. H., Oblak, P., & Šmigoc, H. (2023). Distinct eigenvalues are realizable with generic eigenvectors. Linear and Multilinear Algebra. doi:10.1080/03081087.2023.2232090

Conlon, A., Crann, J., Kribs, D. W., & Levene, R. H. (2023). Quantum Teleportation in the Commuting Operator Framework. Annales Henri Poincare, 24(5), 1779-1821. doi:10.1007/s00023-022-01255-0

Lynch, P. (n.d.). A Lagrange–Laplace Integration Scheme for Weather Prediction and Climate Modelling. Meteorology, 1(4), 355-376. doi:10.3390/meteorology1040023

Lynch, P. (2022). Richardson’s Forecast: the Dream and the Fantasy.. Benchmark, NAFEMS Newsletter, Special edition, October 2022, 6-12.

Lynch, P., & Mackey, M. (2023). Parity and Partition of the Rational Numbers. College Mathematics Journal. Retrieved from http://arxiv.org/abs/2205.00565v1

Verrall, S. C., Atkins, M., Kaminsky, A., Friederick, E., Otto, A., Verrall, K. S., & Lynch, P. (2023). Ground State Quantum Vortex Proton Model. Foundations of Physics, 53(1). doi:10.1007/s10701-023-00669-y

Lynch, P., & Mackey, M. (2023). Parity and Partition of the Rational Numbers. College Mathematics Journal. Retrieved from http://arxiv.org/abs/2205.00565v1

Falcó, J., Gauthier, P. M., Manolaki, M., & Nestoridis, V. (2023). Some remarks on approximation in several complex variables. Canadian Mathematical Bulletin, 66(2), 643-653. doi:10.4153/S0008439522000613

Gow, R., & McGuire, G. (2023). On Galois groups of linearized polynomials related to the special linear group of prime degree. Linear Algebra and Its Applications. doi:10.1016/j.laa.2023.03.004

Meehan, M., & Howard, E. (2023). The university mathematics lecture: to record, or not to record, that is the question. Mathematics Education Research Journal. doi:10.1007/s13394-023-00444-2

Ng, T. L. J., & Murphy, T. B. (2022). Model-based clustering for random hypergraphs. Advances in Data Analysis and Classification, 16(3), 691-723. doi:10.1007/s11634-021-00454-7

Casa, A., O’callaghan, T. F., & Murphy, T. B. (2022). PARSIMONIOUS BAYESIAN FACTOR ANALYSIS FOR MODELLING LATENT STRUCTURES IN SPECTROSCOPY DATA. Annals of Applied Statistics, 16(4), 2417-2436. doi:10.1214/21-AOAS1597

Scrucca, L., Fraley, C., Murphy, T. B., & Raftery, A. E. (2023). Model-Based Clustering, Classification, and Density Estimation Using mclust in R. Model-Based Clustering, Classification, and Density Estimation Using mclust in R, 1-242. doi:10.1201/9781003277965

Smith, R., Dias, F., Facciolo, G., & Murphy, T. B. (2023). Pre-computation of image features for the classification of dynamic properties in breaking waves. European Journal of Remote Sensing, 56(1). doi:10.1080/22797254.2022.2163707

Gormley, I. C., Murphy, T. B., & Raftery, A. E. (2023). Model-Based Clustering. Annual Review of Statistics and Its Application, 10, 573-595. doi:10.1146/annurev-statistics-033121-115326

Bocci, C., Gottard, A., Murphy, T. B., & Porzio, G. C. (2023). CLADAG 2021 special issue: Selected papers on classification and data analysis. Statistical Analysis and Data Mining, 16(4), 317-318. doi:10.1002/sam.11633

Ní Ríordáin, M., Ni Shuilleabhain, A., Prendergast, M., & Johnson, P. (2023). Irish pre-service mathematics teachers’ knowledge of curriculum-aligned content. Irish Educational Studies, 42(1), 1-20. doi:10.1080/03323315.2021.1899030

Delahunty, T., Shúilleabháin, A. N. Í., & Waters, L. (2023). Unpacking the motivational variables which impact engagement in Lesson Study: Mathematics teaching self-efficacy and attitudes towards self-development. Irish Educational Studies. doi:10.1080/03323315.2023.2263437

Arista, J., Bisi, E., & O'Connell, N. (2023). Matrix Whittaker processes.. Probability theory and related fields, 187(1-2), 203-257. doi:10.1007/s00440-023-01210-y

Arista, J., Bisi, E., & O'Connell, N. (2023). Matsumoto-Yor and Dufresne type theorems for a random walk on positive definite matrices. Annales de l'institut Henri Poincare (B) Probability and Statistics. Retrieved from https://imstat.org/

Peláez Zapata, D. S., Pakrashi, V., & Dias, F. (2023). Observations of the ocean waves directional spreading during the HIGHWAVE project and SUMOS campaign.. doi:10.5194/egusphere-egu23-6067

Andraud, P., Gailler, A., Dias, F., & Vayatis, N. (2023). Deep learning approach for real-time tsunami impact forecasting in near field context – application to the French Mediterranean coastline. doi:10.5194/egusphere-egu23-7763

Ni Shuilleabhain, A., & Delahunty, T. (2022). It is time to financially support student teachers’ education: Government-funded scholarships could be awarded to top candidates in subjects where there is a shortage of teachers. In Irish Times. Retrieved from https://www.irishtimes.com/

Dukes, M. (2023). A simple declarative model of the Federal Disaster Assistance Policy - modelling and measuring transparency. doi:10.1016/j.ejdp.2023.100035

Zhao, J., O’Hagan, A., & Salter-Townshend, M. (2023). How group structure impacts the numbers at risk for coronary artery disease: polygenic risk scores and non-genetic risk factors in the UK Biobank cohort. doi:10.1101/2023.07.28.23292953

Conteddu, K., English, H., Byrne, A., Amin, B., Griffin, L., Kaur, P., et al. (2023). Curbing zoonotic disease spread in multi-host-species systems will require integrating novel data streams and analytical approaches: evidence from a scoping review of bovine tuberculosis. doi:10.1101/2023.05.08.539893

Kaur, P., Ciuti, S., Ossi, F., Cagnacci, F., Morellet, N., Loison, A., et al. (2023). Assessing bias and robustness of social network metrics using GPS based radio-telemetry data. doi:10.1101/2023.03.30.534779

Ni Shuilleabhain, A. (2023). Biodiversity Loss: Learnings and recommendations from the Citizens' Assembly.

Ni Shuilleabhain, A. (2023). Launch of the Citizens' Assembly on Biodiversity Loss. House of Lords, Bank of Ireland, College Green.

Ni Shuilleabhain, A., Carey, T., O'Leary, A., O'Regan, C., & O'Malley, C. (2023). Report of the Citizens' Assembly on Biodiversity Loss. Dublin, Ireland: Government Publications.

Wardell, B., Warburton, N., Fransen, K., Upton, S., Cunningham, K., Ottewill, A., & Casals, M. (2023). SpinWeightedSpheroidalHarmonics [Computer Software]. Zenodo. doi:10.5281/zenodo.8112931

Wardell, B., Warburton, N., Cunningham, K., Durkan, L., Leather, B., Nasipak, Z., et al. (2023). Teukolsky [Computer Software]. Zenodo. doi:10.5281/zenodo.8272374

Wardell, B., Warburton, N., Fransen, K., Upton, S., Cunningham, K., Ottewill, A., & Casals, M. (2023). SpinWeightedSpheroidalHarmonics [Computer Software]. Zenodo. doi:10.5281/zenodo.8112931

Wardell, B., Warburton, N., Cunningham, K., Durkan, L., Leather, B., Nasipak, Z., et al. (2023). Teukolsky [Computer Software]. Zenodo. doi:10.5281/zenodo.8272374