Therefore, to affirm the notion of optimal communication in brain networks, it is essential to compare these findings with more realistic dynamics that capture such complex phenomena. A. OI matrices ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single ... framework remains incomplete regarding spatial ...

Accordingly, we first integrate the Rician channel introduced by the RIS with the corresponding signal processing algorithms to model the RIS-aided downlink communication system as a Doppler-robust ...

Here, we use a generalized linear ... model with a postspike filter, and 3. a model with two different postspike filters. One filter was used for the first spike in a burst and the other postspike ...

including gamma regression models appropriate for right skewed responses; logistic regression appropriate for categorical responses; and log-linear models appropriate for discrete responses (counts).

"Here, we propose a refined definition of the human ... of human embryology using embryo models. "Appropriate, trustworthy, and timely public communication is necessary," Rivron says.