Carlos Gershenson
@cgershen.bsky.social
SUNY Empire Innovation Professor at Binghamton University https://tendrel.binghamton.edu
President Complex Systems Society @cssociety.bsky.social
President Complex Systems Society @cssociety.bsky.social
See Also A database of biological thermal performances www.biorxiv.org/content/10.1...
www.biorxiv.org
November 10, 2025 at 5:19 PM
See Also A database of biological thermal performances www.biorxiv.org/content/10.1...
We compiled a database of 1,300 thermal response curves (1,125 species, from viruses to mammals).
Our results reveal universal scaling relationships in thermal performance, which could be useful for predicting changes in performance under scenarios of climate warming.
Our results reveal universal scaling relationships in thermal performance, which could be useful for predicting changes in performance under scenarios of climate warming.
www.biorxiv.org
November 10, 2025 at 5:19 PM
We compiled a database of 1,300 thermal response curves (1,125 species, from viruses to mammals).
Our results reveal universal scaling relationships in thermal performance, which could be useful for predicting changes in performance under scenarios of climate warming.
Our results reveal universal scaling relationships in thermal performance, which could be useful for predicting changes in performance under scenarios of climate warming.
We suffer for what now shifts
But we are dividing time.
We can admire what stays
The potential of our mind.
In vain we attempt to grasp
Any happiness we find.
Let's enjoy every moment!
So, we will because we can.
But we are dividing time.
We can admire what stays
The potential of our mind.
In vain we attempt to grasp
Any happiness we find.
Let's enjoy every moment!
So, we will because we can.
November 6, 2025 at 11:05 PM
We suffer for what now shifts
But we are dividing time.
We can admire what stays
The potential of our mind.
In vain we attempt to grasp
Any happiness we find.
Let's enjoy every moment!
So, we will because we can.
But we are dividing time.
We can admire what stays
The potential of our mind.
In vain we attempt to grasp
Any happiness we find.
Let's enjoy every moment!
So, we will because we can.
We also propose a measure of classifiability, which serves as a theoretical limit on the best possible performance of any algorithm.
July 23, 2025 at 2:06 PM
We also propose a measure of classifiability, which serves as a theoretical limit on the best possible performance of any algorithm.