Decision-makers objectively commit to a definitive choice, yet at the subjective level, human decisions appear to be associated with a degree of uncertainty. Whether decisions are definitive (i.e., concluding in all-or-none choices), or whether the under
A 110-ng quantity of total RNA was used as input. Synthesis of Cy3-labeled antisense RNA (cRNA) was performed in three-quarters reaction volumes with the Low Input Quick Amp Labeling Kit One-Color (no. 5190-2305, Agilent Technologies) according to the manufacturer’s recommendations. cRNA fra...
Using the GFP-labeled TB40/E virus, we infected human brain organoids at day 45 of differentiation in the presence of different concentrations of the 1B2 or 62-11 antibody (3.2–2,000 ng/mL) and measured GFP fluorescence intensity and brain organoid size for up to 30 days post-infection...
To quantify the bioavailability of rhMANF after intranasal delivery, we measured rhMANF levels in the brain and blood using 125I-labeled rhMANF and hMANF ELISA (Additional file 1: Fig. 2). In the dMCAo rats, approximately 0.4% (222 CPM/g) of the radioactivity of 125I-labeled rhMANF ...
The entire network is then trained using input data of known value (labeled data), with the various errors in the network corrected after many interactions. Aftertraining sufficiently, the network has "learned" the relationship between inputs and outputs that can then be applied...
“Everything may die, nothing may be regenerated” [2]. Those conclusions were labeled the “central dogma of neurobiology” [3]. However, critics of Ramon y Cajal underestimate his postulations, which posed the following challenge: “It is for the science of the future to change, if ...
in the mouse colon, green fluorescence-labeled Ri. was applied, in accordance with the results obtained in HC-GM transferring mice, the fluorescence intensity dramatically increased in the colonic segment of adolescent mice gavaged with Ri. in the CTR + Ri and CRS + Ri groups, respec...
During each round of model training, excluding the first random round, we used the DAL [22] algorithm to fetch unlabeled samples. DAL poses active learning as a binary classification task, attempting to choose examples to label in such a way as to make the labeled set and the unlabeled pool...
model trained to predict the occurrence of a given linguistic dependency at each TR from the 64-dimensional transformation vector for a given attention head. Each of these plots corresponds to a labeled cell in the dependencies-by-ROI correlation matrix inB. Error bands around the line of best...
We next carried out direct experimental verification of the neuronal cell type assignment by the lipidome assessment of fluorescently labeled pyramidal neurons and unlabeled cells isolated using cell sorting from the brain of Thy1-ChR2-YFP45 transgenic mice (Fig. 5g; Supplementary Fig. 10). The ...