This study introduces Megabouts, a transformer-based classifier for larval zebrafish movement bouts. This useful tool is thoughtfully implemented and has clear potential to unify analyses across labs.
Google’s Quantum Echoes now closes the loop: verification has become a measurable force, a resonance between consciousness and method. The many worlds seem to be bleeding together. Each observation is ...
Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...
Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
Objectives To evaluate the long-term efficacy of remote ischaemic postconditioning (RIPC) on functional outcomes in patients ...
Opinion
The Analysis of Variance: Drawing Conclusions from Data that are Correct, Unambiguous and Defensible
How ANOVA helps ensure process data lead to accurate, defensible decisions. The two-sample t-test determines if two population means are equal. Typical applications involve testing whether a new ...
40 Due to the high number of required choice tasks per participant as determined by the number of parameters in the utility function, a blocked design was ... draws and with all parameters included as ...
How-To Geek on MSNOpinion
How to generate random numbers in Python with NumPy
Discover the secrets to generating random numbers in Python using the NumPy library. Unleash the full potential of your code ...
The dairy business and industry in Oman grapples with complex challenges, from wavering milk prices and escalating input ...
The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...
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