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 ...

Operator: Good morning. Welcome to Kamada Ltd. third quarter 2025 earnings conference call. At this time, all participants ...

Discover the secrets to generating random numbers in Python using the NumPy library. Unleash the full potential of your code ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Rangebound might be a better word. But they are in a zone which, as with much about today's US economy, leads to "K-shaped" ...

Understanding the differences between probabilistic and deterministric AI will help manufacturers make more informed choices and achieve measurable results.

The manuscript by Hensley and Yildez studies the mechanical behavior of kinesin under conditions where the z-component of the applied force is minimized. The important study shows that much of the ...

Increased risk of DENV-infection (primarily DENV3) was observed up to 300 days post-SARS-CoV-2 infection (predominantly ...

Introduction Photobiomodulation (PBM) has shown promising effects in managing postoperative pain following conventional periapical surgery, although current evidence remains limited. This study aims ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

The implementation of VCE scoring in clinical practice could inform early pre-emptive therapeutic interventions, exclusively ...

Categorical variables were presented in frequencies and percentages, and continuous variables were presented with mean, SD, median, IQR, minimum and maximum, depending on the distribution ... had the ...