Results 161 to 170 of about 23,834 (285)

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

Advanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen, Renato S. M. Almeida, Stefan Flauder, Guillaume Couégnat, Kamen Tushtev, Jürgen Horvath, Peter Wriggers, Kurosch Rezwan   +7 more
wiley   +1 more source

The Innovation Imperative: Time to Rewrite Academia's Compact With Industry. [PDF]

Cureus
Lakhan SE.
europepmc   +1 more source

Photothermal Transport for Guiding Nanoparticles Through the Vitreous Humor

Advanced Science, EarlyView.
Nanosecond laser irradiation of the clinically approved dye indocyanine green (ICG) enables light‐guided nanoparticle transport within the vitreous humor. The combined use of ICG and pulsed laser illumination induces localized convection and thermophoresis, directing particles toward illuminated regions.
Léa Guerassimoff, Yera Ussembayev, Louise De Clerck, Deep Punj, Martijn van den Broek, Filip Beunis, Katrien Remaut, Kevin Braeckmans, Stefaan C. De Smedt, Félix Sauvage   +9 more
wiley   +1 more source

Multi-dendrite fragmentation dynamics in acoustic flow with oscillating cavitation bubbles revealed in situ by synchrotron X-ray radiography. [PDF]

Ultrason Sonochem
Wang S, Kang J, Guo Z, Xiang K, Wang J, Li X, Zou M, Mi J.   +7 more
europepmc   +1 more source

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

Advanced Science, EarlyView.
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan, Beibei Xu, Jenna McCormack, XuHai Huang, Jingzhe Ma, Thomas Marshall, Yacong Sun, Hardeep Singh, Alyssa Fanelli, Gauri Kulkarni, Ji Hye Seo, Paige Gilbride, Bing Wei, Bo Wang, Yanyan Liu, Fei Ma, Lin Zhou, Shuyang Wang, Xiaohua Qian, Zhiyong Xie, Polina Golland, Longlong Si, Yu Shrike Zhang, Xin Xie, Haiqing Bai   +24 more
wiley   +1 more source

Multi‐Soliton Microcombs Enable Ultrafast Nanometric‐Precision Ranging and Photon‐Level Detection

Advanced Science, EarlyView.
Our work first demonstrates dual‐multi‐soliton ranging and confirms its multifunctional capability. The method achieves ultrafast and nanometric‐precision measurement. For practical applications, we further extend the multi‐soliton states to photon‐level ranging.
Jiawen Zhi, Xiaoyang Guo, Xusheng Yang, Brent E. Little, Sai T. Chu, Chenggang Shao, Mengyu Wang, Yan Liang, Peng Xie, Weiqiang Wang, Hanzhong Wu   +10 more
wiley   +1 more source

Multimedia data-driven customer churn prediction using an enhanced extreme learning machine. [PDF]

Sci Rep
Liu YW, Wang J, Liu C.
europepmc   +1 more source

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

Advanced Science, EarlyView.
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel, Nikolas Ebert, Denis Abu Sammour, Sebastian Graf, Björn C. Fröhlich, Emrullah Birgin, Shad A. Mohammed, Nuh N. Rahbari, Axel Wellmann, Oliver Wasenmüller, Cleo‐Aron Weis, Stefan Schmidt, Carsten Hopf   +12 more
wiley   +1 more source

Sea level rise and flooding of hazardous sites in marginalized communities across the United States. [PDF]

Nat Commun
Cushing LJ, Ju Y, Karasaki S, Kulp S, Depsky N, Berberian A, Jaeger J, Strauss B, Morello-Frosch R.   +8 more
europepmc   +1 more source

Magnetic Resonance Imaging Reveals Meningeal Lymphatic Impairment in Lung Adenocarcinoma Brain Metastasis Progression

Advanced Science, EarlyView.
This study demonstrates meningeal lymphatic impairment associated with lung adenocarcinoma brain metastasis progression in both human patients and mouse models, establishes clinically applicable non‐invasive imaging biomarkers for quantitative analyzing mLV structure and function, and reveals mLVs as robust prognostic indicators and promising potential
Yuan Zhang, Shucheng Jin, Penghui Guo, Yuying Yin, Yichun Hua, Xiaosheng Ding, Zhe Zhang, Shuo Chen, Xu Han, Baowang Li, Yan Liu, Xiaoyan Li, Deling Li, Jing Jing, Wei Shi, Wang Jia   +15 more
wiley   +1 more source