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Allicin supplementation at dietary levels as low as 15 micrograms/day preserves lipid peroxidation and induces the expression of antioxidant enzymes in rat liver.
The aim of this study was to determine whether antioxidant properties of allicin, the principal organosulfur compound present in garlic, are reflected by inhibition of lipid peroxidation and increased expression of antioxidant enzymes. Male Wistar rats were supplemented by gavage with allicin daily for 2 months at dietary concentrations as low as 15 micrograms allicin/day and hepatic lipid peroxidation, catalase and superoxide dismutase activities and the expression of manganese superoxide dismutase, catalase and thioredoxin reductase 1 were assessed. A 75 mg/kg/d dose of allicin was highly effective in protecting liver from lipid peroxidation. At concentrations as low as 15 micrograms/day, allicin was sufficient to induce the expression of the antioxidant enzymes tested. These findings demonstrate that allicin, at concentrations as low as 15 micrograms/day, may be useful for the development of a novel therapeutic strategy against oxidative injury in the human liver.Q:
How to sort search results in tensorflow according to a label?
I am using TF to build the user interface of my application. I want to allow the users to make some search, I put a tensorflow vector in the search.tf_vector
However, some labels are very different, I wish to search the alexa rank of the result.
So how could I make sure when I sort the search results, it will be sorted according to the alexa rank rather than by the order the list was given.
A:
I’m going to assume the label (or labels) are present in the data. If not, you can probably add them in as you load the data to the graph. I’m also going to assume that the alexa rank is not a label.
How to make the search order depend on the label:
First, define the labels as an ordinal categorical tensor
labels = tf.constant([‘y1’, ‘y2’], dtype=tf.int64)
Then create https://www.capitta.it/?p=31668
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