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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Number of items: 6.

Obeid, Mohammad A. and Haifawi, Saja and Khadra, Ibrahim (2023) The impact of solvent selection on the characteristics of niosome nanoparticles prepared by microfluidic mixing. International Journal of Pharmaceutics: X, 5. 100168. ISSN 2590-1567

Bawuah, Prince and Evans, Mike and Lura, Ard and Farrell, Daniel J. and Barrie, Patrick J. and Kleinebudde, Peter and Markl, Daniel and Zeitler, J. Axel (2023) At-line porosity sensing for non-destructive disintegration testing in immediate release tablets. International Journal of Pharmaceutics: X, 5. 100186. ISSN 2590-1567

Obeid, Mohammad A. and Khadra, Ibrahim and A.A. Aljabali, Alaa and Amawi, Haneen and Ferro, Valerie A. (2022) Characterisation of niosome nanoparticles prepared by microfluidic mixing for drug delivery. International Journal of Pharmaceutics: X, 4. 100137. ISSN 2590-1567

Maclean, Natalie and Khadra, Ibrahim and Mann, James and Williams, Helen and Abbott, Alexander and Mead, Heather and Markl, Daniel (2021) Investigating the role of excipients on the physical stability of directly compressed tablets. International Journal of Pharmaceutics: X, 4 (Dec 20). 100106. ISSN 2590-1567

Doerr, Frederik J.S. and Florence, Alastair J. (2020) A micro-XRT image analysis and machine learning methodology for the characterisation of multi- particulate capsule formulations. International Journal of Pharmaceutics: X, 2. 100041. ISSN 2590-1567

Stranzinger, Sandra and Faulhammer, Eva and Li, Jingyi and Dong, Runqiao and Zeitler, J. Axel and Biserni, Stefano and Calzolari, Vittorio and Khinast, Johannes G. and Markl, Daniel (2019) Predicting capsule fill weight from in-situ powder density measurements using terahertz reflection technology. International Journal of Pharmaceutics: X, 1. 100004. ISSN 2590-1567

This list was generated on Thu Apr 18 21:20:43 2024 BST.