Results 181 to 190 of about 4,311,294 (371)

Skill Learning in Manual Machine Tool Operation. Development of New Virtual Lathe and Study on Minute Grooving by Using It.

, 1996
Hideo Kato, Kazuhiko Kobayashi, S.D. Liu
openalex   +2 more sources

Rapid Arbitrary‐Shape Microscopy of Unsectioned Tissues for Precise Intraoperative Tumor Margin Assessment

Advanced Science, EarlyView.
This study presents a novel microscopic imaging system capable of rapid, section‐free scanning of irregular tissue surfaces, delivering high sensitivity for detecting cancer cell clusters during intraoperative tumor margin assessment. Abstract Rapid and accurate intraoperative examination of tumor margins is crucial for precise surgical treatment, yet ...
Zhicheng Shao, Xiangwei Meng, Peifen Fu, Keer Huang, Xibei Chen, Yue Ying, Jun Li, Yuxin Zheng, Xiaolong Li, Hyeon Jeong Lee, Jingyi Feng, Yuexin Lu, Runping Cai, Xiongling Jiang, Qing Chen, Hong Zhang, Xiaoyong Man, Li Lin   +17 more
wiley   +1 more source

Study on Power Angle Stability of Wind-fire Hybrid Transmission System Controlled by Virtual Synchronous Machine

, 2018
Shujun Yao, Wanhua Guo, Wenbo Hao, Boning Liu   +3 more
openalex   +2 more sources

Virtual machine provisioning, code management, and data movement design for the Fermilab HEPCloud Facility [PDF]

, 2017
Steve Timm, Gregory F. Cooper, S. Fuess, Gabriele Garzoglio, B. Holzman, R.D. Kennedy, D Grassano, A Tiradani, Ram Krishnamurthy, S Vinayagam, Ioan Raicu, Hongjun Wu, Shihong Ren, S-Y Noh   +13 more
openalex   +1 more source

Rapid Decentralized Prostate Cancer Risk Stratification by Portable Liquid Biopsy Analysis within a Clinical Biosensor Validation Framework

Advanced Science, EarlyView.
In this work, we showcased two significant scientific advances in (i) developing a portable biosensor technology for rapid decentralized prostate cancer urinary biomarker testing and reporting, with superior performance to current clinical testing practice; and (ii) proposing a clinical validation framework (for our biosensor development) which can be ...
Kevin M. Koo, Grant Phillips, Sriganesh Srihari, Áine Farrell, Binny Jaradi, Kira J. Fitzpatrick, John W. Yaxley, Hemamali Samaratunga, Paul N. Mainwaring, Ke‐lin Ru, Darren J. Korbie, Scott A. Tomlins, Matthew J. Roberts, Robert A. Gardiner, Matt Trau   +14 more
wiley   +1 more source

TRIM38 Suppresses Breast Cancer Progression via Modulating SQSTM1 Ubiquitination and Autophagic Flux

Advanced Science, EarlyView.
TRIM38, an E3 ubiquitin ligase, suppresses breast cancer progression by inhibiting proliferation, migration, and invasion. Downregulated in breast tumor, its loss correlates with poor prognosis. Mechanistically, TRIM38 mediates K63‐linked ubiquitination of SQSTM1/p62 at K420, disrupting SQSTM1‐LC3 interaction and blocking autophagic flux.
Shan Jiang, Lijuan Wang, Dianwen Han, Peng Su, Bing Chen, Wenjing Zhao, Tong Chen, Ning Zhang, Xiaolong Wang, Yiran Liang, Yaming Li, Chen Li, Xi Chen, Dan Luo, Qifeng Yang   +14 more
wiley   +1 more source

Fault classification in the architecture of virtual machine using deep learning. [PDF]

Sci Rep
Rawat A, Mishra A, Alsharif H, Alharthi RM, Gupta BB.   +4 more
europepmc   +1 more source

Applying lightweight flexible virtual machines to extensible embedded systems

, 2008
Darío Álvarez Gutiérrez, Francisco Ortín   +1 more
openalex   +2 more sources

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

Energy-efficient cloud systems: Virtual machine consolidation with Γ -robustness optimization. [PDF]

iScience
Han X, Wang J, Wu J, Song J.
europepmc   +1 more source