Results 81 to 90 of about 953 (204)

A parametric electrophysiological–transcriptomic map of MscL‐G22S sonogenetic neuromodulation in the rat hippocampus: Toward precision ultrasound neuromodulation

Journal of Intelligent Medicine, EarlyView.
Using a factorial sweep of ultrasound fundamental and pulse repetition frequencies, we built a parametric electrophysiological–transcriptomic map of MscL‐G22S‐mediated hippocampal neuromodulation, providing reference data for precision, parameter‐aware ultrasound neuromodulation.
Xin Li, Bozhan Wang, Chenguang Zheng, Yutao Tian   +3 more
wiley   +1 more source

Molecular descriptor driven QSPR modeling of Papp, TEER and Efflux Ratio from Caco‐2 cells using machine learning for various phytochemicals

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND The present study aimed to develop and validate quantitative structure–property relationship (QSPR) models for predicting permeability related bioavailability indicators including apparent permeability (Papp), trans‐epithelial electrical resistance (TEER) and efflux ratio (ER) based on molecular descriptors (n = 5003) of 83 ...
Jin‐Woo Kim, Rixing Cong, Jin‐Soo Park, Keunwan Park, Kyungsu Kang, Soon‐Mi Shim   +5 more
wiley   +1 more source

High‐Efficiency Graphene‐Silicon Slot‐Waveguide Microring Modulator at 1.5 and 2 µm Wavelength Bands

Laser &Photonics Reviews, EarlyView.
E/O modulators typically face a trade‐off between bandwidth and modulation efficiency. An integrated E/O modulator is presented that simultaneously achieves wideband, large bandwidth, and high modulation efficiency operation by embedding a partially overlapped double‐layer graphene on a compact silicon slot‐waveguide microring resonator.
Chao Luan, Deming Kong, Yong Liu, Yunhong Ding, Hao Hu   +4 more
wiley   +1 more source

Path Planning Multi-Vehicle Missions with Random Finite Set Based Tracking

, 2023
Electronic Thesis or DissertationMulti-vehicle missions pose many problems including, Multi-Object Tracking (MOT) with non-Gaussian noise, optimal vehicle to target assignment, and optimal path planning.
Thomas, Ryan
core  

Epitaxial Integration of III–V Membrane Photodetectors With Lateral p–i–n Junctions on the Silicon‐On‐Insulator Waveguide Platform

Laser &Photonics Reviews, EarlyView.
Epitaxial growth forms III–V membranes directly atop the silicon waveguide layer on SOI, while in‐plane in situ doping defines lateral p–i–n InP/InGaAs junctions in a single growth step. The membrane photodetectors achieve 50 Gb/s NRZ‐OOK operation.
Zhao Yan, Yifu Chen, Martin Ebert, Ka Ming Wong, Wenjie Wang, Tim Grieb, Florian F. Krause, Andreas Rosenauer, Graham T. Reed, David J. Thomson, Qiang Li   +10 more
wiley   +1 more source

Automated Photothermal Control of Block Copolymer Self‑Assembly and Metal Oxide Nanostructures Sintering

Macromolecular Rapid Communications, EarlyView.
This study presents a microscope‐based photothermal platform that integrates structured laser light projection with machine‐learning‐optimized illumination. By employing neural‐network models to predict and generate thermal profiles, the platform achieves precise thermal processing of block copolymer films.
Filip Franciszek Powala, Piotr Szustakiewicz, Przemyslaw Pula, Pawel Wawrzyniec Majewski   +3 more
wiley   +1 more source

Structural Optimization of 3D Braided Tungsten–Copper Composites via Active Learning and Finite Element Simulation

Materials Genome Engineering Advances, EarlyView.
An uncertainty‐aware FEM–GPR active learning framework efficiently explores the design space of 3D braided W–Cu composites, identifying architectures with higher yield strength and preserved electrical conductivity, whereas SHAP interpretation highlights yarn spacing in the braid plane as the key structural factor controlling composite performance ...
Lai Zhang, Tianwen Chen, Yongjing Wu, Fuzhu Liu, Yaping Wang, Zhimao Yang, Shengchun Yang   +6 more
wiley   +1 more source

Distinguishing Intrinsic Descriptors of Grain Boundary Segregation Between Metallic and Non‐Metallic Solutes in BCC Fe via Machine Learning

Materials Genome Engineering Advances, EarlyView.
A combined DFT–interpretable machine learning framework identifies the intrinsic descriptors governing grain boundary segregation in BCC Fe. Geometric effects dominate metallic solutes, whereas electronic bonding controls nonmetallic solutes, exhibiting an overall contrasting trend Voronoi volume–segregation energy relationships.
Xinyuan Zhang, Feiyang Wang, Honghui Wu, Xiaoye Zhou, Shuize Wang, Junheng Gao, Haitao Zhao, Chaolei Zhang, Yuhe Huang, Jun Lu, Xinping Mao   +10 more
wiley   +1 more source

Enhanced Quantitative Phosphocreatine MR Imaging of Skeletal Muscle Using a Global–Local Two‐Branch Deep Learning Model

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Phosphocreatine (PCr) is an essential marker of muscle metabolism, and accurate quantification of its (fs) and its exchange rate (ksw) is essential for diagnosing various muscular and neuromuscular diseases. Although chemical exchange saturation transfer (CEST) MRI can detect the saturation transfer effect from PCr, quantification of ...
Malvika Viswanathan, Leqi Yin, Yashwant Kurmi, Shuyang Chai, Xiaoyu Jiang, Yuankai Huo, Junzhong Xu, Limin Chen, John C. Gore, Zhongliang Zu   +9 more
wiley   +1 more source

Evaluation of Third‐Order Motion‐Compensated Cardiac Diffusion Tensor Imaging Across Cardiac Phases Using an Ultra‐High‐Performance Clinical Scanner

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To evaluate a third‐order motion‐compensated spin echo (M3‐MCSE) sequence at multiple cardiac phases on a clinical 3 T MRI scanner with ultra‐high performance (UHP) gradients (200 mT/m), compared with stimulated echo acquisition mode (STEAM) and second‐order MCSE (M2‐MCSE) for cardiac diffusion tensor imaging (cDTI).
Ke Wen, Pedro F. Ferreira, Alberto Di Biase Oemick, Ricardo Wage, Karl P. Kunze, Fanwen Wang, Dudley J. Pennell, Andrew D. Scott, Sonia Nielles‐Vallespin   +8 more
wiley   +1 more source