Results 251 to 260 of about 58,612 (325)
The Effect of Cannabis Use Disorder on Mortality and Other Outcomes in Asthma: A Nationwide Analysis (2016-2021). [PDF]
Sule-Saa S +9 more
europepmc +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Subtypes of cocaine use disorder and their neurobehavioral profiles. [PDF]
Brucar LR +3 more
europepmc +1 more source
Hallgrimson et al. introduce a machine learning algorithm, siMILe, that takes features of single‐molecule localization microscopy localization clusters (e.g., size and sphericity) and finds the clusters that are associated with certain cell conditions (such as differential protein expression or drug treatment).
Christian Hallgrimson +8 more
wiley +1 more source
Cannabis Products and Use Patterns Associated with Cannabis Use Disorder Symptoms Among Youth in Southern California. [PDF]
Walsh CA +7 more
europepmc +1 more source
Soft Artificial Ciliary Brush with Integrated Haptic Feedback for Efficient Airway Mucus Cleaning
A fundamental mucus cleaning mechanism is reported, which utilizes both artificial cilia mechanical sweeping and suction‐based mucus cleaning. A novel haptic feedback interface for the artificial cilia provides touch feedback on tissue contact, enhancing operator control and safety.
Zhongming Lyu +7 more
wiley +1 more source
Methylation Status of the DAT1 Dopamine Transporter Gene in Individuals With Cannabis Use Disorder: Associations With Personality Traits. [PDF]
Suchanecka A +5 more
europepmc +1 more source
Equilibrium Propagation for Dissipative Dynamics
This work develops local learning rules for damped linear dynamical systems, including mechanical structures and resistor‐inductor‐capacitor (RLC) circuits, by leveraging an effective action formulation. It demonstrates how physical systems can autonomously compute gradients and learn temporal patterns, enabling applications such as sound ...
Marc Berneman, Daniel Hexner
wiley +1 more source

