Results 81 to 90 of about 164,719 (284)

Synergistic Sunlight‐Activated Photodynamic and Near‐Infrared‐Induced Mild Photothermal Therapy for Infected Wound Healing Using Functionalized Nano‐Bi2WO6 Composites

Advanced Science, EarlyView.
This work proposes a multifunctional Bi2WO6:Yb,Er@CuS@CS nanocomposite that integrates photodynamic therapy (PDT), near‐infrared‐triggered photothermal therapy (PTT), and Cu2+ release for infected wound repair. The nanocomposite demonstrates enhanced antibacterial efficacy via combined PDT, PTT, and Cu2+ release, effective immunomodulatory by mild ...
Yihao Sun, Liangrui He, Zhijun Shen, Yuxin Zhang, Yizhang Tang, Xujiang Yu, Jisi Zheng, Moran Huang, Wanwan Li, Lei Wang   +9 more
wiley   +1 more source

Path planning algorithm for a car like robot based on MILP method [PDF]

, 2013
This project is presents an algorithm for path planning optimal routes mobile robot “like a car” to a target in unknown environment. The proposed algorithm allows a mobile robot to navigate through static obstacles and finding the path in order to ...
Mohd Sadri, Mohd Pawzi
core  

PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping

Advanced Science, EarlyView.
scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su, Qi Qi, Yi Fan, Yubo Wang, Gaoyang Hao, Ka‐Chun Wong, Yunhe Wang, Xiangtao Li   +7 more
wiley   +1 more source

Functional Disorder at the Neural Interface: How Disordered Nanostructures Promote Proper Growth and Differentiation in In Vitro Neural Cultures

Advanced Science, EarlyView.
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita, E. Palmieri, I. Lucarini, L. Montaina, L. Maiolo   +4 more
wiley   +1 more source

Exploring the Numerics of Branch-and-Cut for Mixed Integer Linear Optimization

, 2018
We investigate how the numerical properties of the LP relaxations evolve throughout the solution procedure in a solver employing the branch-and-cut algorithm.
Miltenberger, Matthias, Ralphs, Ted, Steffy, Daniel E.   +2 more
core   +1 more source

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

Advanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu, Zhongheng Liu, Xinming Li, Jinrui Zhang, Meng Li, Yiming Guo, Lihua Han, Yanxue Wang   +7 more
wiley   +1 more source

Operational Optimization of Steam Turbine Systems for Time Series in Hourly Resolution: A Systematic Comparison of Linear, Quadratic and Nonlinear Approaches

Energies
Computer-aided modeling and mathematical optimization of energy systems are essential for improving operational efficiency and achieving emission reductions, particularly for steam turbine systems with part-load-dependent efficiency characteristics ...
Louisa Zaubitzer, Maurice Görgen, Frank Alsmeyer   +2 more
doaj   +1 more source

Research on Economic Optimization Scheduling of Park Integrated Energy System with Electricity-heat-cool-gas Load

Zhongguo dianli, 2020
Integrated energy system is an important way to achieve coordinated optimization between different energy systems. This paper firstly analyzes the four subsystems of electricity-heat-cool-gas, and constructs an economic optimization scheduling model for ...
Qiang SUN, Dian XIE, Qingyun NIE, Lihui ZHANG, Qian CHEN, Jiejun CHEN   +5 more
doaj   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

Study on distributed and dynamic resource management for delay-sensitive sensor network

Tongxin xuebao, 2017
The delay-aware dynamic resource management problem was investigated in sensor network,with a focus on resource allocation among the sensors and power control along the time.By taking account of average delay requirements and power constraints,the ...
Wei LIU, Jun LIU
doaj   +2 more sources