Results 191 to 200 of about 7,149,853 (339)

A community-driven approach to address substance use and create a Great Plains American Indian addiction and recovery research agenda. [PDF]

Am J Community Psychol
Abstract Substance use, specifically opioid and methamphetamine use, is of increasing concern among American Indian (AI) populations in the Great Plains. This community‐driven participatory study investigated the impacts of substance use and community‐defined needs in treating addiction.
Luger B, Kihlström A, Sivaramakrishnan B, Kelliher A, Kropp F, Rosa C, Winhusen TJ, Warne D, CTN0129 participating Tribal communities.   +8 more
europepmc   +2 more sources

Optimal policy for database backup and recovery

Information Processing Letters, 1981
HATZOPOULOS, M, KOLLIAS, JG
openaire   +2 more sources

Graph‐based imitation and reinforcement learning for efficient Benders decomposition

AIChE Journal, EarlyView.
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman, Zhe Li, Ilias Mitrai, Prodromos Daoutidis   +3 more
wiley   +1 more source

Discovery of skill-switching criteria for learning agile quadruped locomotion. [PDF]

Front Robot AI
Yu W, Acero F, Atanassov V, Yang C, Havoutis I, Kanoulas D, Li Z.   +6 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Public feedback analysis on multi-stage emergency management policies using BERTopic-SKEP integrated model. [PDF]

Sci Rep
Li C, Tian Q, Gao L, Liu H.
europepmc   +1 more source

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

Collection and reporting of waste data to support waste management policies. [PDF]

Npj Mater Sustain
Zhang C, Noumbissié LT, Zhang J, Zhang C, van Ewijk S, Stegemann JA.   +5 more
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Analytical policy commentary: Multi-prong strategies for effective climate-resilient community-based health programming in humanitarian settings and beyond. [PDF]

J Clim Chang Health
Gebremeskel AT, Assefa M, Ormel I, Nyamuda L, Maurya BP, Sohani S.   +5 more
europepmc   +1 more source