Results 71 to 80 of about 213,281 (332)

Sparse Sensor Arrays for Two‐dimensional Direction‐of‐arrival Estimation [PDF]

, 2023
Ali H. Muqaibel, Saleh A. Alawsh
openalex   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Underdetermined direction-of-arrival estimation using super nested array

The Journal of Engineering, 2019
Among various sparse-arrays, super nested array (SNA) is found to be more attractive because it can achieve large degrees-of-freedom (DOFs) and alleviate the mutual coupling. This article address the problem of direction-of-arrival (DOA) estimation under
Zheng-Ming Jiang, Peichang Zhang, Lei Huang, Jihong Zhang   +3 more
doaj   +1 more source

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Direction-of-Arrival Estimation via Coarray With Model Errors

IEEE Access, 2018
Direction-of-Arrival (DoA) estimation with Coarray can resolve O(N2) sources via only O(N) physical sensor elements. When it comes to model errors, i.e., manual coupling, gain and/or phase errors, and sensor location errors, whether Coarray is still ...
Rui Lu, Ming Zhang, Xiaobo Liu, Xiaoming Chen, Anxue Zhang   +4 more
doaj   +1 more source

Estimation of Directions of Arrival by Matching Pursuit (EDAMP)

EURASIP Journal on Wireless Communications and Networking, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Günes Karabulut, Tolga Kurt, Abbas Yongaçoglu   +2 more
openaire   +2 more sources

Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin

Molecular Oncology, EarlyView.
The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla, Jan Kosla, Magdalena Prechova, Lukas Frick, Patricia Bortel, Yasmin Borutzki, Andrea Bileck, Christopher Gerner, Samuel M. Meier‐Menches, Selma Osmanagic‐Myers, Martin Gregor   +10 more
wiley   +1 more source

Two Dimensional Direction-of-Arrival Estimation Using Compressive Measurements

IEEE Access, 2019
Compressive sensing can effectively reduce the dimension of a signal vector and has been widely used in many areas. Direction-of-arrival (DOA) estimation using compressive measurements has gained considerable attention due to the reduction in system ...
Fan Shi
doaj   +1 more source

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Fast estimation of array shape and direction of arrival using sparse Bayesian learning for manoeuvring towed line array

IET Radar, Sonar & Navigation
The sparse Bayesian learning (SBL) algorithm has demonstrated its advantage in the direction of arrival (DOA) estimation. However, it requires a lot of computational cost to iteratively estimate the SBL hyperparameters from measurement data.
Xiang Pan, Haoran Wang, Min Li, Jie Zhou, Yuxiao Li, Weize Xu   +5 more
doaj   +1 more source