Results 51 to 60 of about 10,742,237 (292)

CEACAM1 participation in breast cancer progression

Molecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin, Irina Kube‐Golovin, Anatolii Romaniuk, Gunther Wennemuth   +3 more
wiley   +1 more source

JTF-Net: A joint time-frequency domain deep learning network for accurate reconstruction and reference-free assessment of NMR Spectra [PDF]

High-quality nuclear magnetic resonance (NMR) spectra can be rapidly acquired by combining non-uniform sampling techniques (NUS) with reconstruction algorithms.
Yao, Luo, Jie, Luo, Zhong, Chen, Wenhan, Chen, Zhenhua, Su, Yanqin, Lin, Xiaoqi, Shi   +6 more
core   +1 more source

Frequency domain iterative tuning for active noise and vibration control [PDF]

, 2008
In this thesis a new adaptive control method, called Iterative Tuning in the Frequency Domain (FD-IT), is proposed for Active Noise and Vibration Control (ANVC).
Luo, Jian
core   +1 more source

WaveletHSI: Direct HSI Classification from Compressed Wavelet Coefficients via Sub-Band Feature Extraction and Fusion

Journal of Imaging
A major computational bottleneck in classifying large-scale hyperspectral images (HSI) is the mandatory data decompression prior to processing. Compressed-domain computing offers a solution by enabling deep learning on partially compressed data. However,
Xin Li, Baile Sun
doaj   +1 more source

Side-channel analysis in frequency domain with clustering

Dianzi Jishu Yingyong, 2021
The alignment of power traces is one of the key factors affecting the success of side-channel analysis. Frequency-domain side-channel analysis can effectively solve the alignment of power traces in the time domain.
Cai Juesong, Yan Yingjian, Zhu Chunsheng, Guo Pengfei   +3 more
doaj   +1 more source

Partial FAK suppression promotes tumor growth, an effect reversed by macrophage p110δ PI3K inactivation

Molecular Oncology, EarlyView.
Partial inhibition of focal adhesion kinase (FAK) can paradoxically promote tumor growth, rather than simply producing a weaker antitumor effect than that observed with strong FAK suppression. In breast cancer and melanoma models, targeting p110δ PI3K, particularly in macrophages, counteracted these tumor‐promoting effects, highlighting the importance ...
Lydia Xenou, Niki Tzenaki, Anna Tsapara, Maria Tzardi, Evangelia A. Papakonstanti   +4 more
wiley   +1 more source

MSF-LCC: multi-scale spatial-frequency feature learning framework for land cover classification from cross-domain datasets

Geo-spatial Information Science
Land cover classification is essential for sustainable development but remains challenging due to the complexity of high-resolution remote sensing imagery, including spectral similarity between objects, variability within objects, and uneven spatial ...
Bo Yu, Zhihui Ou, Fang Chen, Lei Wang, Ning Wang   +4 more
doaj   +1 more source

Robust PD-Type Iterative Learning Control of Discrete Linear Repetitive Processes in the Finite Frequency Domain

Mathematics, 2020
This paper studies a robust iterative learning control design for discrete linear repetitive processes in the finite frequency domain. Firstly, the state-space model of the iterative learning process is deduced.
Lei Wang, Mu Li, Huizhong Yang
doaj   +1 more source

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

FEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell, Cassy Ross, Panagiota S. Filippou, Bruno Silvester Lopes, Dominic Gilchrist, Paul Dean, Kamar Ameen‐Ali, Tora K. Smulders‐Srinivasan, Ahmad A. Khundakar   +8 more
wiley   +1 more source

Time-series representation learning via Time-Frequency Fusion Contrasting

Frontiers in Artificial Intelligence
Time series is a typical data type in numerous domains; however, labeling large amounts of time series data can be costly and time-consuming. Learning effective representation from unlabeled time series data is a challenging task.
Wenbo Zhao, Ling Fan
doaj   +1 more source