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Effectiveness of interactive technology-assisted interventions on promoting healthy food choices: a scoping review and meta-analysis
Chew, H. S. J., Rajasegaran, N. N., & Chng, S., (2023), British Journal of Nutrition, 130(7), 1250–1259, https://doi.org/10.1017/s0007114523000193
Recent advances in aggregation-induced emission (AIE)-based chemosensors for the detection of organic small molecules
Chua, M. H., Hui, B. Y. K., Chin, K. L. O., Zhu, Q., Liu, X., & Xu, J., (2023), Materials Chemistry Frontiers, 7(22), 5561–5660, https://doi.org/10.1039/d3qm00679d
All Knitted and Integrated Soft Wearable of High Stretchability and Sensitivity for Continuous Monitoring of Human Joint Motion
Gupta, U., Lau, J. L., Chia, P. Z., Tan, Y. Y., Ahmed, A., Tan, N. C., Soh, G. S., & Low, H. Y., (2023), Advanced Healthcare Materials, 12(21), https://doi.org/10.1002/adhm.202202987
Evaluation of factors associated with bleeding following haemodialysis catheter-related procedures and the risk with anti-platelet agents
Koduri, S., Chionh, G. Y. K., Khaw, J., Foong, S., & Chionh, C. Y., (2023), The Journal of Vascular Access, 25(6), 1842–1847, https://doi.org/10.1177/11297298231190113
Experiences from the international frontlines: An exploration of the perceptions of airport employees during the COVID-19 pandemic
Tuchen, S., Nazemi, M., Ghelfi-Waechter, S. M., Kim, E., Hofer, F., Chen, C., Arora, M., Santema, S., & Blessing, L., (2023), Journal of Air Transport Management, 109, 102404, https://doi.org/10.1016/j.jairtraman.2023.102404
Extracellular matrix mechanobiology in cancer cell migratio
Vasudevan, J., Jiang, K., Fernandez, J., & Lim, C. T., (2023), Acta Biomaterialia, 163, 351–364, https://doi.org/10.1016/j.actbio.2022.10.016
Machine learning empowered multi-stress level electromechanical phenotyping for high-dimensional single cell analysis
Liang, M., Tang, Q., Zhong, J., & Ai, Y., (2023), Biosensors and Bioelectronics, 225, 115086, https://doi.org/10.1016/j.bios.2023.115086
Alzheimer’s Dementia Speech (Audio vs. Text): Multi-Modal Machine Learning at High vs. Low Resolution
Priyadarshinee, P., Clarke, C. J., Melechovsky, J., Lin, C. M. Y., T, B. B., & Chen, J., (2023), Applied Sciences, 13(7), 4244, https://doi.org/10.3390/app13074244
A deep learning based hybrid architecture for weekly dengue incidences forecasting
Zhao, X., Li, K., Ang, C. K. E., & Cheong, K. H., (2023), Chaos Solitons & Fractals, 168, 113170, https://doi.org/10.1016/j.chaos.2023.113170
How COVID-19 News Affect Older Adults’ Mental Health—Evidence of a Positivity Bias
Ng, Z. Z., Li, G., Flynn, S., & Yow, W. Q., (2023), International Journal of Environmental Research and Public Health, 20(5), 3950, https://doi.org/10.3390/ijerph20053950