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Contents contributed and discussions participated by tonycheng6

tonycheng6

Covid Vaccine Deaths Rise in Norway Among Older People - Bloomberg - 0 views

  • Norway expressed increasing concern about the safety of the Pfizer Inc. vaccine on elderly people with serious underlying health conditions after raising an estimate of the number who died after receiving inoculations to 29.
  • the vaccine produced by Pfizer and BioNTech SE was the only one available in Norway, and “all deaths are thus linked to this vaccine,”
  • “There are 13 deaths that have been assessed, and we are aware of another 16 deaths that are currently being assessed,”
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  • Norway’s experience doesn’t mean that younger, healthier people should avoid being vaccinated.
  • Official reports of allergic reactions have been rare as governments rush to roll out vaccines to try to contain the global pandemic.
  • All the reported deaths related to “elderly people with serious basic disorders,”
  • The first people to be immunized in many places have been older than that as countries rush to inoculate nursing-home residents at high risk from the virus.
  • for those with the most severe frailty, even relatively mild vaccine side effects can have serious consequences. For those who have a very short remaining life span anyway, the benefit of the vaccine may be marginal or irrelevant.
  • This does not mean that there is a causal link between vaccination and death.
tonycheng6

Anti-ageing effects of protein restriction unpacked - 0 views

  • The idea that dietary restriction can be used as a tool to increase lifespan has been a centrepiece of ageing research for decades. But the mechanisms by which dietary restriction might act, and the specific nutritional components involved, remain unclear.
  • Both dietary protein restriction (which results in low levels of leucine and other BCAAs) and inhibition of mTOR can extend lifespan in animals
  • Flies that carry a mutation in this residue have lower mTOR activity than do controls. They are also longer-lived, and are protected against the negative lifespan-shortening effects of a high-protein diet.
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  • In contrast to a previous study6, they observed a robust lifespan extension in male mice fed a BCAA-restricted diet throughout life, equal to the benefits of dietary protein restriction.
  • Interestingly, female mice showed no lifespan extension from BCAA or dietary protein restriction, and if BCAA restriction was started during middle age, the benefits on males were greatly reduced. Thus, both studies collectively point to mTOR as a primary mediator of the benefits associated with BCAA restriction (Fig. 1).
  • A clear picture is emerging of how specific amino acids are sensed by sestrin to regulate mTOR signalling and autophagy and so preserve the function of intestinal stem cells during ageing.
  • Genetic background is crucial in the response to dietary restriction, with an identical low-calorie regimen increasing lifespan in some mouse strains but shortening it in others
  • There is also evidence that dietary restriction initiated later in life might have reduced benefits in rodents and, in some cases, result in premature death
  • Taken together, these observations suggest that although protein- and BCAA-restricted diets are a powerful research tool for exploring the fundamental mechanisms of ageing, it is premature to recommend adoption by the general population.
tonycheng6

Accurate machine learning in materials science facilitated by using diverse data sources - 0 views

  • Computational modelling is also used to estimate the properties of materials. However, there is usually a trade-off between the cost of the experiments (or simulations) and the accuracy of the measurements (or estimates), which has limited the number of materials that can be tested rigorously.
  • Materials scientists commonly supplement their own ‘chemical intuition’ with predictions from machine-learning models, to decide which experiments to conduct next
  • More importantly, almost all of these studies use models built on data obtained from a single, consistent source. Such models are referred to as single-fidelity models.
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  • However, for most real-world applications, measurements of materials’ properties have varying levels of fidelity, depending on the resources available.
  • A comparison of prediction errors clearly demonstrates the benefit of the multi-fidelity approach
  • The authors’ system is not restricted to materials science, but is generalizable to any problem that can be described using graph structures, such as social networks and knowledge graphs (digital frameworks that represent knowledge as concepts connected by relationships)
  • More research is needed to understand the scenarios for which multi-fidelity learning is most beneficial, balancing prediction accuracy with the cost of acquiring data
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