but the older we get, the faster “time flies”. Yet, it is an open question why that is. One possible answer relates to age-specific differences in the neural mechanisms underlying time and event perception.
The machine learning pipeline adopted is comprised of the following steps: minority class rebalancing, model training, tuning and evaluation; followed by a final interpretation of the results. The rest of this section presents each of these steps in additional detail. All experiments have been ...
The raw data were pre-processed into an amplicon sequence variant (ASV) table using our in-house pipeline56 based on the DADA2 algorithm and settings recommended for IonTorrent reads57, with taxonomy assigned to the ASVs using the Ribosomal Database Project (RDP, v18). The resulting ASV ...
The resolution of our single-cell NM atlas also allowed us to not only identify the immune residency trend with age but also to characterize the immune cell population in further detail. Specifically, we identified the primary T cell population in the NM as having a transcriptional profile very...
Given a pipeline A of five stages, where each stage takes time t, produce a new pipeline B by dividing the third stage into two stages such that each stage takes time t/2. How many instructions per se In the four-phase approach to the SDLC, determinin...