Results 91 to 100 of about 5,820,048 (335)
Mixture Semisupervised Bayesian Principal Component Regression for Soft Sensor Modeling
IEEE Access, 2018 In this paper, a mixture semisupervised Bayesian principal component regression-based soft sensor modeling method for nonlinear industrial process with multiple operating modes is presented. In many chemistry processes, part of output data samples may be
Pengbo Zhu +3 more
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FEBS Letters, EarlyView.In lymphoid organs, antigen recognition and B cell receptor signaling rely on integrins and the cytoskeleton. Integrins act as mechanoreceptors, couple B cell receptor activation to cytoskeletal remodeling, and support immune synapse formation as well as antigen extraction.
Abhishek Pethe, Tanja Nicole Hartmann
wiley +1 more source
IEEE Access, 2018 For continuous improvement of productivity, accurate, stable, and reliable control of temperature and humidity is important in industrial production. Accurate prediction of air temperature and humidity can improve the predictability and stability of air ...
Xin Shi +3 more
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Molecular Oncology, EarlyView.The number of circulating tumor cells obtained from prostate cancer patients was increased approximately 5‐fold compared to regular CellSearch when processing 2 mL diagnostic leukapheresis material aliquots and increased by 44‐fold when processing 20 mL DLA aliquots using the flow enrichment target capture Halbach‐array.
Michiel Stevens +8 more
wiley +1 more source
Molecular Oncology, EarlyView.Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever +1 more
wiley +1 more source
Target Detection and Ranging through Lossy Media using Chaotic Radar
Entropy, 2015 A chaotic radar system has been developed for through-wall detection and ranging of targets. The chaotic signal generated by an improved Colpitts oscillator is designed as a probe signal. Ranging to target is achieved by the cross-correlation between the
Bingjie Wang +4 more
doaj +1 more source
Exact null-controllability of interconnected abstract evolution systems by scalar force motion [PDF]
arXiv, 2013 The paper deals with exact null-controllability problem for a linear control system consisting of two serially connected abstract control systems. Controllability conditions are obtained. Applications to the exact null-controllability for interconnected control system of heat and wave equations are considered.
arxiv
Control of Non-Linear Systems. [PDF]
, 1976 Abstract : New methods were developed for stabilizing a time-varying linear differential system. Three technical notes involving feedback stabilization of a discrete-time constant linear system, derivation new lower bounds on the solution matrix, to the algebraic matrix Riccati equation, and new sufficient conditions for the linear constant ...
openaire +3 more sources
On the control of stochastic systems
Journal of Mathematical Analysis and Applications, 1981 AbstractA general model is available for analysis of control systems involving stochastic time varying parameters in the system to be controlled by the use of the “iterative” method of the authors or its more recent adaptations for stochastic operator equations.
George Adomian, L. H. Sibul
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Molecular Oncology, EarlyView.Cancer‐associated fibroblasts (CAFs) promote cancer growth, invasion (metastasis), and drug resistance. Here, we identified functional and diverse circulating CAFs (cCAFs) in patients with metastatic prostate cancer (mPCa). cCAFs were found in higher numbers and were functional and diverse in mPCa patients versus healthy individuals, suggesting their ...
Richell Booijink +6 more
wiley +1 more source