Results 51 to 60 of about 377,814 (287)
Correlation of the differential expression of PIK3R1 and its spliced variant, p55α, in pan‐cancer
PIK3R1 undergoes alternative splicing to generate the isoforms, p85α and p55α. By combining large patient datasets with laboratory experiments, we show that PIK3R1 spliced variants shape cancer behavior. While tumors lose the protective p85α isoform, p55α is overexpressed, changes linked to poorer survival and more pronounced in African American ...
Ishita Gupta +10 more
wiley +1 more source
Convergence Analysis for an Online Data-Driven Feedback Control Algorithm
This paper presents convergence analysis of a novel data-driven feedback control algorithm designed for generating online controls based on partial noisy observational data.
Siming Liang +3 more
doaj +1 more source
DVL-Aided SINS In-Motion Alignment Filter Based on a Novel Nonlinear Attitude Error Model
A novel nonlinear attitude error model based on square root cubature information filter (SR-CIF) is proposed aiming to speed up the convergence rate of DVL-aided strapdown inertial navigation system (SINS) in-motion initial alignment for autonomous ...
Lu Zhang +3 more
doaj +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
The accuracy and rate of convergence are two important performance factors for initial ground alignment of a strapdown inertial navigation system (SINS).
Lu Zhang, Wenqi Wu, Maosong Wang
doaj +1 more source
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Novel Sparse Algorithms based on Lyapunov Stability for Adaptive System Identification [PDF]
Adaptive filters are extensively used in the identification of an unknown system. Unlike several gradient-search based adaptive filtering techniques, the Lyapunov Theory-based Adaptive Filter offers improved convergence and stability.
P. Rakesh, T. Kishore Kumar, F. Albu
doaj
Highlight of lung nodule candidates in chest radiographs by convergence filters
This paper describes the development of a method that highlights suspicious areas of lung nodules on chest radiographs. Lung nodules are lesions found in the lung region, which are the first indicators of the presence of cancerous tumors.
Sergio Alejandro Duarte Pacheco +2 more
doaj +1 more source
Infinite impulse response (IIR) systems, with their ability to model intricate system behaviors, have proven to be a powerful class of digital filters. However, accurately identifying the optimal filter parameters for system emulation remains a challenge.
Serdar Ekinci, Davut Izci, Musa Yilmaz
doaj +1 more source
Optimal stopping for partially observed piecewise-deterministic Markov processes
This paper deals with the optimal stopping problem under partial observation for piecewise-deterministic Markov processes. We first obtain a recursive formulation of the optimal filter process and derive the dynamic programming equation of the partially ...
Adrien Brandejsky +20 more
core +4 more sources

