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Involvement of TRPC Channels in Lung Cancer Cell Differentiation and the Correlation Analysis in Human Non-Small Cell Lung Cancer (2013)
Journal Article
Jiang, H. N., Zeng, B., Zhang, Y., Daskoulidou, N., Fan, H., Qu, J. M., & Xu, S. Z. (2013). Involvement of TRPC Channels in Lung Cancer Cell Differentiation and the Correlation Analysis in Human Non-Small Cell Lung Cancer. PLoS ONE, 8(6), Article e67637. https://doi.org/10.1371/journal.pone.0067637

The canonical transient receptor potential (TRPC) channels are Ca2+-permeable cationic channels controlling the Ca2+ influx evoked by G protein-coupled receptor activation and/or by Ca2+ store depletion. Here we investigate the involvement of TRPCs i... Read More about Involvement of TRPC Channels in Lung Cancer Cell Differentiation and the Correlation Analysis in Human Non-Small Cell Lung Cancer.

A Scoping Review of Stigma Related to Prostate Cancer in Black Men (2024)
Journal Article
Bamidele, O., Greenley, S., Ukoha-Kalu, B. O., Titus, O. F., & Nanton, V. (2024). A Scoping Review of Stigma Related to Prostate Cancer in Black Men. Journal of Racial and Ethnic Health Disparities, https://doi.org/10.1007/s40615-024-02070-5

Background Prostate cancer (CaP) disproportionately affects 1-in-4 Black men and is a stigmatised disease within their communities. Yet, Black men are underrepresented in CaP research concerning stigma, which necessitates a scoping review to map avai... Read More about A Scoping Review of Stigma Related to Prostate Cancer in Black Men.

An empirical analysis of agricultural and rural carbon emissions under the background of rural revitalization strategy–based on machine learning algorithm (2024)
Journal Article
Niu, X., Tian, Y., Tang, M., & Mian, Z. (2024). An empirical analysis of agricultural and rural carbon emissions under the background of rural revitalization strategy–based on machine learning algorithm. Air Quality, Atmosphere and Health, https://doi.org/10.1007/s11869-024-01606-2

Agricultural and rural carbon (ARC) emissions are a major source of greenhouse gas emissions in China and have profound implications for implementing the rural revitalization strategy. This study takes Shandong Province, a leading agricultural provin... Read More about An empirical analysis of agricultural and rural carbon emissions under the background of rural revitalization strategy–based on machine learning algorithm.

A cross sectional pilot study utilising STrain Analysis and Mapping of the Plantar Surface (STAMPS) to measure plantar load characteristics within a healthy population (2024)
Journal Article
Jones, A. D., Crossland, S., Nixon, J. E., Siddle, H. J., Culmer, P. R., & Russell, D. A. (2024). A cross sectional pilot study utilising STrain Analysis and Mapping of the Plantar Surface (STAMPS) to measure plantar load characteristics within a healthy population. Gait and Posture, 113, 246-251. https://doi.org/10.1016/j.gaitpost.2024.06.018

Background No in-shoe systems, measuring both components of plantar load (plantar pressure and shear stress) are available for use in patients with diabetes. The STAMPS (STrain Analysis and Mapping of the Plantar Surface) system utilises digital ima... Read More about A cross sectional pilot study utilising STrain Analysis and Mapping of the Plantar Surface (STAMPS) to measure plantar load characteristics within a healthy population.

Increasing the immersivity of 360° videos facilitates learning and memory: implications for theory and practice (2024)
Journal Article
Peney, T., & Skarratt, P. A. (2024). Increasing the immersivity of 360° videos facilitates learning and memory: implications for theory and practice. Educational Technology Research and Development, https://doi.org/10.1007/s11423-024-10402-9

Recent years have seen an increase in the use of immersive virtual reality (IVR) technology in education and training. Studies examining the efficacy of IVR-based interventions have shown improved performance compared to traditional training programm... Read More about Increasing the immersivity of 360° videos facilitates learning and memory: implications for theory and practice.