Results 61 to 70 of about 137,924 (252)

Bio‐Inspired Molecular Events in Poly(Ionic Liquids)

Advanced Functional Materials, EarlyView.
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley   +1 more source

ATA-MAOPT: Multi-Agent Online Policy Transfer Using Attention Mechanism With Time Abstraction

IEEE Access
Multi-agent deep reinforcement learning inherits one of the shortcomings of reinforcement learning, which is that a very large number of experimental episodes need to be performed to train an agent model to learn the optimal policy.
Chao Wang, Xiangbin Zhu
doaj   +1 more source

Metal–Organic Frameworks for Gaseous Pollutant Management: From Capture to Neutralization and Reutilization

Advanced Functional Materials, EarlyView.
This review maps how MOFs can manage hazardous gases by combining adsorption, neutralization, and reutilization, enabling sustainable air‐pollution control. Covering chemical warfare agent simulants, SO2, NOx, NH3, H2S, and volatile organic compounds, it highlights structure‐guided strategies that boost selectivity, water tolerance, and cycling ...
Yuanmeng Tian, Zeyu Tao, Kaikai Ma, Xiaoliang Wang, Bo Yu, Yiu Wan Yip, Zhijie Chen, Jin Shang, Bin Fei   +8 more
wiley   +1 more source

Smart Catheters for Diagnosis, Monitoring, and Therapy

Advanced Healthcare Materials, EarlyView.
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman, Samiha Ahmed, Majed Othman Althumayri, Megan Guy, Darlenne Chavez Lugo, Frances S. Ligler, George T. Ligler, Rahmi Oklu, Hiroshi Kawahira, Michael J. McShane, Jun Kameoka, Jonathan Bova, Hatice Ceylan Koydemir   +12 more
wiley   +1 more source

Microneedle Technology in Psoriasis Management: Mechanistic Insights, Technological Innovation, Clinical Progress, and Challenges

Advanced Healthcare Materials, EarlyView.
This review explores the evolving role of microneedle systems in psoriasis management, highlighting their potential for enhanced drug delivery, diagnosis, and disease monitoring. It also discusses unmet clinical needs for psoriasis management and technical challenges, while outlining strategic directions to advance microneedle integration into routine ...
Fatma Moawad, Yasmine Ruel, Roxane Pouliot, Davide Brambilla   +3 more
wiley   +1 more source

Curriculum Learning Framework Based on Reinforcement Learning in Sparse HeterogeneousMulti-agent Environments [PDF]

Jisuanji kexue
The battlefield of modern warfare is large and has a variety of units,and the use of multi-agent reinforcement learning(MARL) in battlefield simulation can enhance the collaborative decision-making ability among combat units and thus improve combat ...
LUO Ruiqing, ZENG Kun, ZHANG Xinjing
doaj   +1 more source

Kidney Organoids in Drug Development: Integrating Technological Advances and Standardization for Effective Implementation

Advanced Healthcare Materials, EarlyView.
This review examines how emerging enabling technologies enhance the physiological relevance, scalability, and reproducibility of kidney organoids, while advanced analytical approaches support model validation and deepen mechanistic insight into nephrotoxicity.
Helen Kearney, Silvia M. Mihăilă, Lorenzo Moroni, Carlos Mota   +3 more
wiley   +1 more source

Multi agent physics informed reinforcement learning for waterflooding optimization

Franklin Open
Waterflooding optimization is a critical process for enhancing oil recovery in mature oil fields, where conventional approaches often rely on fixed injection rates over an extended period.
Ramez Abdalla, Nermine Agban, Christian Lüddeke, Dan Sui, Philip Jaeger   +4 more
doaj   +1 more source

WRFMR: A Multi-Agent Reinforcement Learning Method for Cooperative Tasks

IEEE Access, 2020
Multi-agent reinforcement learning (MARL) for cooperative tasks has been extensively studied in recent years. The balance of exploration and exploitation is crucial to MARL algorithms' performance in terms of the learning speed and the quality of the ...
Hui Liu, Zhen Zhang, Dongqing Wang
doaj   +1 more source

Evaluation of the Dual Impact of Nanotechnologies on Health and Environment Through Alternative Bridging Models

Advanced Healthcare Materials, EarlyView.
This review explores how alternative invertebrate and small‐vertebrate models advance the evaluation of nanomaterials across medicine and environmental science. By bridging cellular and organismal levels, these models enable integrated assessment of toxicity, biodistribution, and therapeutic performance.
Marie Celine Lefevre, Margherita Bernardeschi, Matteo Battaglini, Gianni Ciofani   +3 more
wiley   +1 more source