This research paper presents SIMPL (Scalable Iterative Maximization of Population-coded Latents), a novel, computationally efficient algorithm designed to refine the estimation of latent variables and tuning curves from neural population activity. Latent variables in neural data represent essential low-dimensional quantities encoding behavioral or cognitive states, which neuroscientists seek to identify to understand brain computations better. Background and Motivation Traditional approaches commonly assume the observed behavioral variable as the latent neural code. However, this assumption can lead to inaccuracies because neural activity sometimes encodes internal cognitive states differing subtly from observable behavior (e.g., anticipation, mental simulation). Existing latent variable models face challenges such as high computational cost, poor scalability to large datasets, limited expressiveness of tuning models, or difficulties interpreting complex neural network-based functio...
The authors propose
using vitamin C as an adjuvant therapy in conjunction with established methods
for treating malignant melanoma. It is suggested that vitamin C can change the
epigenetic pattern of melanoma cells, alter the disease's severity, inhibit DNMT
activity, increase the expression of connexin 43, cause apoptosis in melanoma
cell lines, make melanoma cells more sensitive, lower the levels of HIF-1 alpha
protein, reduce inflammatory cytokines, and lessen the spread of the cancer.
The effectiveness, safety, and mechanism of vitamin C in actual melanoma
patients should be tested through additional long-term experimental research
and clinical studies, according to the scientists. Additionally, based on
clinical evidence from many trials supporting its utility, they recommend
supplementing melanoma patients with Vitamin C and may pursue intravenous
dosing in the future.
Osman, H. O.,
Thomas, N. E., Udekwe, S., Habashy, S., Jafri, A., & Heindl, S. E. (2021).
Contribution of Vitamin C in the Treatment of Malignant Melanoma. Fortune
Journal of Health Sciences, 4(3), 383-393. https://doi.org/10.26502/fjhs.029
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