Results 151 to 160 of about 139,994 (273)

Sono‐Mechanogenetics: Linking Ultrasound Physics With Cellular Mechanobiology

Advanced Science, EarlyView.
Sono‐mechanogenetics links ultrasound physics with cellular mechanotransduction to enable noninvasive control of engineered biological systems. Acoustic forces generate distinct deformation modes that activate intracellular signaling pathways, which can be coupled to synthetic gene circuits to regulate diverse cellular functions, including gene ...
Yunjia Qu, Fan Wei, Chi Woo Yoon, Qifa Zhou, Yingxiao Wang   +4 more
wiley   +1 more source

Hierarchical coordinated scheduling algorithm for reactive power and voltage in cross-regional power grids based on multi-agent reinforcement learning. [PDF]

PLoS One
Lin Z, Zhang X, Ren Z, Shao Y, Chen Y.
europepmc   +1 more source

Sample-efficient multi-agent reinforcement learning with masked reconstruction. [PDF]

PLoS One, 2023
Kim JI, Lee YJ, Heo J, Park J, Kim J, Lim SR, Jeong J, Kim SB.   +7 more
europepmc   +1 more source

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

Advanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang, Yurou Yuan, Xiaohong Ding, Wing Cheung Mak   +3 more
wiley   +1 more source

Bi-level graph attention paradigm with differential strategy integration for heterogeneous multi-agent reinforcement learning. [PDF]

Sci Rep
Li Y, Zhang Z, Wang J.
europepmc   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

Explainable multi agent reinforcement learning framework for secure and adaptive communication in UAV swarm based fanets. [PDF]

Sci Rep
Alkahtani HK, Galiya Y, Akbayan B, Qahmash A.   +3 more
europepmc   +1 more source

Recent Advances and Challenges in Ammonia‐Hydrogen Energy Conversion

Advanced Science, EarlyView.
This work summarizes the latest progress of various catalytic methods in ammonia‐hydrogen energy conversion. The challenges and outlook of ammonia‐hydrogen energy conversion system are also emphasized. This work expects to build a blueprint of renewable and efficient ammonia‐hydrogen energy conversion systems under mild conditions.
Menghao Lv, Runchao Qin, Jianshuo Chen, Kaiwen Yang, Jianwei Lu, Weiwei Lei, Yifu Yu   +6 more
wiley   +1 more source

A Multi-Agent Reinforcement Learning Framework for Public Health Decision Analysis. [PDF]

Healthc Anal (N Y)
Sharma D, Shah A, Gopalappa C.
europepmc   +1 more source

Edge-Driven Multi-Agent Reinforcement Learning: A Novel Approach to Ultrasound Breast Tumor Segmentation. [PDF]

Diagnostics (Basel), 2023
Karunanayake N, Moodleah S, Makhanov SS.
europepmc   +1 more source