Results 141 to 150 of about 1,934,499 (254)
Harnessing civil society to promote social inclusion of people with severe mental illness. [PDF]
Whitley R.
europepmc +1 more source
On the Road: A Summer Odyssey in Dixie
All summer long, readers of The Gettysburg Compiler were treated to posts from Pohanka interns documenting their research and experiences at historical sites across the country. While I did not participate in the Pohanka internship program this summer, I
Lauck, Jeffrey L.
core
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Assessing claims of counterproductivity of Just Stop Oil's civil disobedience. [PDF]
Berglund O, Davis CJ, Finnerty S.
europepmc +1 more source
Abstract A multipore, multiphase, continuum model is assembled for the first time for room temperature sodium–sulfur (RT Na–S) batteries, with Na+ ion transport and redox reactions in the liquid electrolyte phase and semisolid phase of precipitates softened by the electrolyte solvent, as guided by molecular dynamics simulations in this study ...
Hakeem A. Adeoye +3 more
wiley +1 more source
The politics of health: exploring the potential and the limits of health in all policies under multilevel governance. [PDF]
Koivusalo M +4 more
europepmc +1 more source
A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang +4 more
wiley +1 more source
Facilitators and barriers to the formulation of public policies on food and nutrition: A scoping review. [PDF]
Feldenheimer da Silva AC +9 more
europepmc +1 more source
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source

