Results 91 to 100 of about 71,173 (226)

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

Advanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong, James Trevarthen, Igor Dolbnya, Wadwan Singhapong, Nicholas Pilato, Richard Butler, Jiraphant Srisuriyachot, Alexander J. G. Lunt   +7 more
wiley   +1 more source

A cross-methodological review on the safety effects of partial vehicle automation

Transportation Research Interdisciplinary Perspectives
We present a cross-methodological review on the safety implications of Partially Automated Vehicles (PAV). We inventory theoretical considerations on possible safety effects, and evaluate results from computer simulations, driving simulators ...
Ksander N de Winkel, Angèle Picco, Maartje de Goede, Diane Cleij, Michiel Christoph   +4 more
doaj   +1 more source

Utilizing Cooperative Proton–Electron Mixed Conduction Induced via Chemical Dedoping of Self‐Doped Poly(3,4‐ethylenedioxythiophene) Nanofilms for In‐Material Physical Reservoirs

Advanced Science, EarlyView.
This study demonstrates a new concept for high‐performance in‐material physical reservoirs (PRs). An intrinsic and cooperative ion–electron state, induced by chemical dedoping in self‐doped poly(3,4‐ethylenedioxythiophene) (S‐PEDOT) nanofilms, enhances the performance of in‐material PRs.
Yuya Ishizaki‐Betchaku, Motoaki Onishi, Tomoki Misaka, Mitsuo Hara, Hirokazu Yano, Hidenori Okuzaki, Jun Matsui, Tsuyoshi Hasegawa, Takuya Matsumoto, Hirofumi Tanaka, Shusaku Nagano   +10 more
wiley   +1 more source

Building a Robust Scenario Library for Safety Assurance of Automated Driving Systems: A Review

IEEE Access
Ensuring the safety of Automated Driving Systems (ADSs) is both a critical and complex endeavor. The increasing demand for autonomous driving technologies underscores the importance of robust safety assurance, yet the intricate nature of these systems ...
Antonio A. Bruto da Costa, Patrick Irvine, Tudor Dodoiu, Siddartha Khastgir, Paul Jennings   +4 more
doaj   +1 more source

Bounds for Maximin Latin Hypercube Designs [PDF]

Latin hypercube designs (LHDs) play an important role when approximating computer simula- tion models. To obtain good space-filling properties, the maximin criterion is frequently used. Unfortunately, constructing maximin LHDs can be quite time-consuming
Dam, E.R. van, Husslage, B.G.M., Rennen, G.   +2 more
core   +1 more source

T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities

Advanced Science, EarlyView.
T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu, Xiaoyu Yao, Qingyang Wang, Mengrui Yang, Runze Li, Jiangjiang Qin, Jing Zhuang, Changgang Sun   +7 more
wiley   +1 more source

Tetraaza[7]–[15]helicenes Synthesized by Two‐Step Strategy: Length‐Controlled Chiral π‐Systems Exhibiting Amplified Circularly Polarized Luminescence

Angewandte Chemie, EarlyView.
A modular two‐step strategy provides tetraaza[n]helicenes (n = 7–15) as a homologous series with tunable photophysical and chiroptical properties. Extension beyond n = 11 induces pronounced through‐space π–π interactions, narrowing the energy gap and amplifying circularly polarized luminescence.
Takashi Otani, Yuchen Wu, Kohei Ueda, Yuki Ikeda, Yuna Tada, Natsuna Kinoshita, Takanori Shibata   +6 more
wiley   +2 more sources

Graph‐Theory Approach to Element Miscibility and Alloy Design

Advanced Science, EarlyView.
Graph and network theory enables pathway toward complex multiscale interactions between different elements for alloy design or interface engineering. Utilizing element's inherent properties and preferential interactivity, favorable mixed material formation, solubility and miscibility can be predicted.
Andrew Martin, Kien Nguyen, Sebastian Zaatini, Michael Lastovich, Bharat Gwalani, Paul Bogdan, Martin M. Thuo   +6 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source