Results 71 to 80 of about 501,735 (258)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Examining Discordance in Perceptions of COVID-19 and Influenza Vaccine Safety During Pregnancy Among a Cohort of US Adults

Vaccines
Background/Objectives: Vaccination is an important strategy to protect pregnant people, fetuses, and infants from severe influenza and COVID-19. However, as of April 2025 in the United States, only 14% of pregnant women had received the 2024–2025 COVID ...
Rachael Piltch-Loeb, Bai Xi Jasmine Chan, Josefina Nuñez Sahr, Chloe Teasdale, Sasha Fleary, Kate Penrose, Jenna Sanborn, Subha Balasubramanian, McKaylee Robertson, Angela Parcesepe   +9 more
doaj   +1 more source

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

Prospective Respiratory Outcomes from Tracking and Evaluating Community-based TeSting (Project PROTECTS): a community-based, prospective study of acute respiratory infections among adults across the USA – cohort profile

BMJ Open
Purpose The Prospective Respiratory Outcomes from Tracking and Evaluating Community-based TeSting study is a 2-year community-based, prospective cohort launched in 2024.
Philicia W Castillo, Denis Nash, McKaylee M Robertson, Amanda Berry, Kristen E Allen, Madhura S Rane, Kate Penrose, Subha Balasubramanian, Sarah G Kulkarni, Laura Puzniak, Frank R Ernst, Joann Zamparo, Avantika Srivastava, Sarah Ganzhorn, Yanhan Shen, Emily Berger, Bai Xi Jasmine Chan, Jenna Sanborn   +17 more
doaj   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Implementing evidence-based practices to improve primary care for high-risk patients: study protocol for the VA high-RIsk VETerans (RIVET) type III effectiveness-implementation trial

Implementation Science Communications
Background Patients with significant multimorbidity and other factors that make healthcare challenging to access and coordinate are at high risk for poor health outcomes.
Elvira E. Jimenez, Ann-Marie Rosland, Susan E. Stockdale, Ashok Reddy, Michelle S. Wong, Natasha Torrence, Alexis Huynh, Evelyn T. Chang   +7 more
doaj   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

Advanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang, J. An, X. Zheng, D. Wang, S. Wang, X. Wang, P. Zhu, J. Pei, S. Li, J. Paripurana, Y. Han, Z. Tang, X. Gan, Q. He, X. Ma   +14 more
wiley   +1 more source

Comparing two strategies to support the implementation of evidence-based practices for substance use disorders in VA’s permanent supportive housing program: a protocol for a type 3 hybrid cluster-randomized controlled trial

Implementation Science
Background Homeless-experienced Veterans (HEVs) have higher rates of substance use disorders (SUDs) than housed Veterans, which impairs their ability to retain housing.
Sonya Gabrielian, Evelyn T Chang, Emily B. H. Treichler, Jenny Barnard, Richard E. Nelson, Michelle S Wong, Nicholas J. Jackson, Erin P. Finley   +7 more
doaj   +1 more source