Results 101 to 110 of about 2,735,316 (329)

Ilexoside K Ameliorates Atherosclerosis by Suppressing CD72hi Macrophages and Blocking CXCL12–CXCR4 Axis to Inhibit Endothelial Pyroptosis

Advanced Science, EarlyView.
CD72hi macrophages drive endothelial pyroptosis and accelerate atherosclerosis through CXCL12–CXCR4‐mediated immune–vascular crosstalk. Ilexoside K suppresses this pathogenic communication by modulating CXCR4‐dependent endothelial responses, reducing inflammation and plaque progression. These findings reveal a macrophage–endothelial regulatory axis and
Xingling He, Sijing Li, Jiahui Chen, Liyu Lin, Xinyu Li, Xiaojiao Zhang, Yihui Zhang, Xingling Chen, Jinjian Guo, Zhongqi Yang, Lu Lu, Shihao Ni   +11 more
wiley   +1 more source

Pareto front–based multi-objective real-time traffic signal control model for intersections using particle swarm optimization algorithm

Advances in Mechanical Engineering, 2016
Real-time traffic control is very important for urban transportation systems. Due to conflicts among different optimization objectives, the existing multi-objective models often convert into single-objective problems through weighted sum method.
Pengpeng Jiao, Ruimin Li, Zhihong Li
doaj   +1 more source

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

Advanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo, Yunwen Wu, Yuhui Guo, Shenghong Ju   +3 more
wiley   +1 more source

An Efficient Adjustment of Genetic Algorithm for Pareto Front Determination

Transportation Research Procedia, 2019
The Pareto front determination is an important part of multiobjective problem solving when two or more contradictory objectives must be considered. This paper deals with the emergency service system design problem where the demand for minimal average ...
Dobroslav Grygar, René Fabricius
semanticscholar   +1 more source

Optimal populations and Pareto front.

, 2019
(A) Pareto front (black) representing the optimal (non-dominated) population Π(m); non-optimal (dominated) solutions behind the Pareto front are also shown, colored according to the generation of the evolutionary algorithm they belong to.
Dick K. P. Yue (7609910), Grgur Tokić (7609907)   +1 more
core   +1 more source

Stretchable h‐BN/TPU Fibers for Passive‐Active Dual‐Mode Thermal Management and Wearable Haptic Interfaces

Advanced Science, EarlyView.
Optimized 30 wt.% h‐BN/TPU fibers create a thermal conductivity of 2.08 W·m−1·K−1 while retaining mechanical compliance (422% elongation at break). Woven fabrics reduce surface temperature by 5.7°C under simulated solar irradiation. Glove integration enables localized fingertip heating at 29.55°C·s−1 with a thermal relaxation time of approximately 20 s.
Yiwei Zhou, Shanshan Long, Bo Chen, Maohua Li, Linhong Li, Yue Qin, Rongjie Yang, Hanxi Chen, Cheng‐Te Lin, Yixiang Xu, Kean How Cheah, Nan Jiang, Jinhong Yu   +12 more
wiley   +1 more source

Improved sampling of the pareto-front in multiobjective genetic optimizations by steady-state evolution: a Pareto converging genetic algorithm [PDF]

, 2002
Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention.
Kumar, R., Rockett, P.
core   +1 more source

From Artificial to Embodied and Physical Intelligence in Smart Manufacturing

Advanced Science, EarlyView.
Smart manufacturing is reframed through complementary artificial, embodied, and physical intelligence, spanning computational reasoning, perception‐action coupling, and material‐level adaptation. Their integration across design, fabrication, operation, and maintenance reveals how intelligence can be co‐designed across algorithms, embodied agents, and ...
Kang Wang, Xinyu Lu, Tong Liu, Jinjie Fang, Xin Li, Siqian Wu, Liuchao Jin, Wei‐Hsin Liao, Shuyou Zhang, Jianrong Tan   +9 more
wiley   +1 more source

Considering spatiotemporal evolutionary information in dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Preserving population diversity and providing knowledge, which are two core tasks in the dynamic multi‐objective optimisation (DMO), are challenging since the sampling space is time‐ and space‐varying. Therefore, the spatiotemporal property of evolutionary information needs to be considered in the DMO.
Qinqin Fan, Min Jiang, Wentao Huang, Qingchao Jiang   +3 more
wiley   +1 more source

A clinical distance measure for evaluating treatment plan quality difference with Pareto fronts in radiotherapy

Physics and Imaging in Radiation Oncology, 2017
We present a clinical distance measure for Pareto front evaluation studies in radiotherapy, which we show strongly correlates (r = 0.74 and 0.90) with clinical plan quality evaluation.
Kristoffer Petersson, Archonteia Kyroudi, Jean Bourhis, Crister Ceberg, Tommy Knöös, François Bochud, Raphaël Moeckli   +6 more
doaj   +1 more source