Results 171 to 180 of about 23,946 (295)

A Low-Complexity Subcarrier-Power Allocation Scheme for Frequency-Division Multiple-Access Systems

, 2010
This letter aims to design a low-complexity subcarrier-power allocation scheme to improve the communication reliability of various types of frequency-division multiple-access (FDMA) systems. Both uplink and downlink are considered.
Yang, Lie-Liang, Liu, Tingting, Yang, Chenyang   +2 more
core  

Amplification of Endoplasmic Reticulum Stress via Inhibiting Lipid Droplet Formation to Enhance Chemodynamic Immunotherapy

Advanced Science, EarlyView.
An endoplasmic reticulum (ER)‐targeted chemodynamic nanoagent (TCBQ/iLD‐ER NPs) comprising •OH‐generating tetrachloro‐1,4‐benzoquinone (TCBQ) and lipid droplets (LDs) formation inhibitor (iLD) is developed for chemodynamic immunotherapy of tumors. After ingestion by cancer cells, TCBQ/iLD‐ER NPs preferentially accumulate in the ER and react with ER ...
Huilan Cai, Shaoru Zhuang, Yang Zhu, Rujiang Ao, Meili Yu, Tingting Cui, Jun Wang, Xuegang Niu, Hongwei Huang, Shanshan Peng, Yu He, Lisen Lin, Huanghao Yang   +12 more
wiley   +1 more source

Deep reinforcement learning for network resource optimization in MIMO-NOMA networks to maximize utilization with minimal overhead. [PDF]

Sci Rep
Lahza HFM, Sreenivasa BR, Lahza H, Nandini G, Laxmi V, Shawly T, Alsheikhy AA.   +6 more
europepmc   +1 more source

Diffusion‐Based Generative Model With Scaffold‐Hopping Strategy Yields Highly Potent Bioactive Molecules

Advanced Science, EarlyView.
SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang, Xiaoqing Gong, Shukai Gu, Jing Li, Bo Liu, Yanan Tian, Qianqian Zhang, Xiaojun Yao, Huanxiang Liu   +8 more
wiley   +1 more source

Energy-optimized 6G communication framework with intelligent resource allocation for massive IoT networks. [PDF]

Sci Rep
Kamal MM, Ul Abideen SZ, Sheraz M, Khan H, Hassan JNA, Hamid HBA, Yinsheng L, Ma T, Samkari HS, Allehyani MF, Altayeb M, Chuah TC.   +11 more
europepmc   +1 more source

A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces

Advanced Science, EarlyView.
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren, Hong Wang, Chak Wang Tse, Yi Zheng, Xi Chen, Wenqi Hu   +5 more
wiley   +1 more source

Reinforcement Learning for Secure Semantic LEO Satellite Networks: Joint Fidelity-Secrecy Power Allocation. [PDF]

Sensors (Basel)
Zhou F, Zhu X.
europepmc   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Traffic pattern-adaptive channel allocation in cognitive radio networks via multi-scale windowing. [PDF]

Sci Rep
Min Z, Ziru W, Jinyuan B, Bo Z.
europepmc   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

Advanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu, Xinran Qiu, Xing Li, Tianhuan Yang, Xuetao Guo, Hao Qiu, Peng Zhang   +6 more
wiley   +1 more source