Results 81 to 90 of about 646,449 (284)

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

open access: yesMolecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge   +17 more
wiley   +1 more source

Collaborative Spectrum Sensing Based on Distributed Adaptive Filtering

open access: yesIEEE Open Journal of the Communications Society
Spectrum sharing technology can reduce the problem of limited spectrum resources failing to meet the demands of multiple users, and it is one of the important topics in effectively integrating existing communication technologies with the sixth-generation
Siyu Xie   +5 more
doaj   +1 more source

Distributed ensemble Kalman filtering

open access: yes2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014
We address the problem of distributed filtering in a wireless sensor network and develop distributed approximations of three variants of the ensemble Kalman filter. We express the update equations in an alternative information form in order to formulate a distributed measurement update mechanism.
Arslan Shahid   +2 more
openaire   +2 more sources

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

open access: yesMolecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley   +5 more
wiley   +1 more source

Distributed sensor fusion estimation algorithms based on Kalman Filtering [PDF]

open access: yesITM Web of Conferences
Efficient distributed sensor fusion is critical for reliable state estimation in applications such as autonomous vehicles, robotics, and environmental monitoring.
Ni Si
doaj   +1 more source

Application of optical distributed sensing and computation to control of large space structures [PDF]

open access: yes
A real time holographic sensing technique is introduced and its advantages are investigated from the filtering and control point of view. A feature of holographic sensing is its capability to make distributed measurements of the position and velocity of ...
Balakrishnan, A. V.
core   +1 more source

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

open access: yesMolecular 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   +10 more
wiley   +1 more source

Distributed angle‐only orbit determination algorithm for non‐cooperative spacecraft based on factor graph

open access: yesIET Radar, Sonar & Navigation
Bayesian filtering provides an effective approach for the orbit determination of a non‐cooperative target using angle measurements from multiple CubeSats.
Zhixun Zhang   +4 more
doaj   +1 more source

Distributed Box Particle Filtering for Target Tracking in Sensor Networks

open access: yesInternational Journal of Distributed Sensor Networks, 2015
Distributed target tracking is a significant technique and is widely used in many applications. Combined with the interval analysis, box particle filtering (BPF) has been proposed to solve the problem of Bayesian filtering when the uncertainties in the ...
Ying Liu, Hao Liu
doaj   +1 more source

Distributed Kalman filtering

open access: yes, 2012
In this chapter, the theory and analytical development of distributed Kalman filtering based on various methods are provided. In one method, the weighted averages, based on the Bayesian point of view, yield the best possible estimate of the state at a particular time instant that can be computed from the conditional probability distribution of state x ...
openaire   +1 more source

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