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The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
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Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu +13 more
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Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma
Bladder tumors with higher pretreatment memory B‐cell infiltration were linked to longer survival after cisplatin chemotherapy, but not carboplatin. These tumors also showed more organized immune structures (tertiary lymphoid structures) and a shared pro‐inflammatory B‐cell‐rich community, suggesting that memory B cells may help identify patients most ...
Konrad Stawiski +10 more
wiley +1 more source
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On robustness in system identification
Automatica, 1999This paper studies robustness issues in system identification. A framework for robust convergence analysis is given. It uses a set of results on robust convergence under average \(l_p\) norms, Orlicz norms and cross-correlation-type noise semi-norms.
P. M. Mäkilä, Jonathan R. Partington
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System identification with denoising
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002When the signal-to-noise ratio (SNR) is low, classical system identification methods can not produce accurate results. The results can be improved by using denoising methods with time-frequency decompositions. The chirp signal is used as a training sequence to make the time-frequency domain denoising possible.
Aykut Bultan, Richard A. Haddad
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2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2016
This work is concerned with the identification of linear time-invariant systems in the presence of an adversarial agent that attacks sensor measurements. The attacker is omniscient and we impose no restrictions (statistical or otherwise) on how the adversary alters the sensor measurements.
Mehrdad Showkatbakhsh +2 more
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This work is concerned with the identification of linear time-invariant systems in the presence of an adversarial agent that attacks sensor measurements. The attacker is omniscient and we impose no restrictions (statistical or otherwise) on how the adversary alters the sensor measurements.
Mehrdad Showkatbakhsh +2 more
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Bayesian System Identification
IFAC Proceedings Volumes, 1979Abstract In Bayesian statistics the concept of probability is interpreted as a rational measure of belief which is used to descri be mathemat ically the uncertain re lation between the statistician and the external world. The statistical inference is understood as a correction of prior subject ive probability distribution by objective data. The paper
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System theory for system identification
Journal of Econometrics, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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System Identification of Complex and Structured Systems
European Journal of Control, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Projectile identification system
32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings., 2004The U.S. Army plans for the needs of future warfare to retain its technological superiority. Future Combat Systems (FCS) is a major effort designed to meet this need. FCS includes multiple automated fire weapons. On current systems, a human typically enters information about each projectile loaded.
Glenn J. Beach +3 more
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