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 ...
While Norwegian Cruise Line was left reeling following disappointing guidance, NCLH stock now presents an informational ...
Cancer incidence is rising around the world, but an international study is challenging the popular narrative that young ...
Objectives To determine what drives participation in clinical trials with decentralised elements and to estimate trial participation probabilities for trials with different degrees of decentralisation ...
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 ...
The dairy business and industry in Oman grapples with complex challenges, from wavering milk prices and escalating input ...
Introduction Adolescence is a key period of development for mental health; however, little is known about how (cumulative) daily life experiences impact long-term mental health development in this ...
The COVID-19 pandemic is inflicting high and rising human costs worldwide, and the necessary protection measures are severely impacting economic activity. As a result of the pandemic, the global ...
Background Some countries are exploring policies that might help lower cigarette smoking prevalence to below 5% by 2030. This ...
Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
Abstract: DC-link capacitors in rail transit are susceptible to failure under hard working conditions, and it is important to estimate the capacitance for safe operation purpose. However, current ...
Abstract: The accuracy of channel estimation is crucial to multiple-input multiple-output (MIMO) systems. The complexity of traditional MIMO channel estimation methods increases cubically with the ...