Results 71 to 80 of about 2,932,031 (355)

Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium [PDF]

, 2014
The recent theory of compressive sensing leverages upon the structure of signals to acquire them with much fewer measurements than was previously thought necessary, and certainly well below the traditional Nyquist-Shannon sampling rate.
Carron, Igor, Chardon, Gilles, Daudet, Laurent, Gigan, Sylvain, Katz, Ori, Lerosey, Geoffroy, Liutkus, Antoine, Martina, David, Popoff, Sébastien   +8 more
core   +4 more sources

B cell mechanobiology in health and disease: emerging techniques and insights into therapeutic responses

FEBS Letters, EarlyView.
B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro, Marco Cellani, Cristina Scielzo   +2 more
wiley   +1 more source

Compressed Sensing in Hilbert Spaces [PDF]

, 2017
In many linear inverse problems, we want to estimate an unknown vector belonging to a high-dimensional (or infinite-dimensional) space from few linear measurements. To overcome the ill-posed nature of such problems, we use a low-dimension assumption on the unknown vector: it belongs to a low-dimensional model set. The question of whether it is possible
Traonmilin, Yann, Puy, Gilles, Gribonval, Rémi, Davies, Mike   +3 more
openaire   +6 more sources

Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models [PDF]

, 2012
A framework for adaptive and non-adaptive statistical compressive sensing is developed, where a statistical model replaces the standard sparsity model of classical compressive sensing.
Carin, Lawrence, Duarte-Carvajalino, Julio M., Sapiro, Guillermo, Yu, Guoshen   +3 more
core   +3 more sources

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source

Wideband Spectrum Sensing: A Bayesian Compressive Sensing Approach

Sensors, 2018
Sensing the wideband spectrum is an important process for next-generation wireless communication systems. Spectrum sensing primarily aims at detecting unused spectrum holes over wide frequency bands so that secondary users can use them to meet their ...
Youness Arjoune, Naima Kaabouch
doaj   +1 more source

Deep Sensing for Compressive Video Acquisition

Sensors, 2023
A camera captures multidimensional information of the real world by convolving it into two dimensions using a sensing matrix. The original multidimensional information is then reconstructed from captured images.
Michitaka Yoshida, Akihiko Torii, Masatoshi Okutomi, Rin-ichiro Taniguchi, Hajime Nagahara, Yasushi Yagi   +5 more
doaj   +1 more source

TOMM20 as a driver of cancer aggressiveness via oxidative phosphorylation, maintenance of a reduced state, and resistance to apoptosis

Molecular Oncology, EarlyView.
TOMM20 increases cancer aggressiveness by maintaining a reduced state with increased NADH and NADPH levels, oxidative phosphorylation (OXPHOS), and apoptosis resistance while reducing reactive oxygen species (ROS) levels. Conversely, CRISPR‐Cas9 knockdown of TOMM20 alters these cancer‐aggressive traits.
Ranakul Islam, Megan E. Roche, Zhao Lin, Diana Whitaker‐Menezes, Victor Diaz‐Barros, Eurico Serrano, Maria Paula Martinez Cantarin, Nancy J. Philp, Atrayee Basu Mallick, Ubaldo Martinez‐Outschoorn   +9 more
wiley   +1 more source

Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma

Molecular Oncology, EarlyView.
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu, Jianchao Wang, Fuqing Chen, Xuefeng Wang, Bin Lan, Ruyi Fu, Hong Wen, Fangfang Chen, Wei Hong, Tian‐Yu Tang, Ying He, Gang Chen, Jianyin Zhou, Hai‐Long Piao, Di Chen, Shu‐Yong Lin   +15 more
wiley   +1 more source

A Two-Dimensional Adaptive Target Detection Algorithm in the Compressive Domain

Sensors, 2019
By applying compressive sensing to infrared imaging systems, the sampling and transmitting time can be remarkably reduced. Therefore, in order to meet the real-time requirements of infrared small target detection tasks in the remote sensing field, many ...
Wenhuan Cao, Shucai Huang
doaj   +1 more source