Results 61 to 70 of about 421,397 (304)

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

DETERMINISTIC GROWTH MODEL OF SACCHAROMYCES CEREVISIAE, PARAMETER IDENTIFICATION AND SIMULATION

IFAC Proceedings Volumes, 1983
Abstract A mathematical model of the growth of SACCHAROMYCES CEREVISIAE H1022 was developed, which can describe oxidative and aerobic fermentative (Crabtree-effect)growth on glucose, oxidative growth on ethanol, oxygen limited growth on glucose and/or ethanol and the anaerobic growth.
K.-H. Bellgardt, W. Kuhlmann, H.-D. Meyer   +2 more
openaire   +1 more source

Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity

Molecular Oncology, EarlyView.
Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung, David Bickel, Lena C. M. Krause, Daria Ezeriņa, Christian Ickes, Julian Wojtachnia, Christine S. Gibhardt, Magdalena Shumanska, Khadija Wahni, Andrea Paluschkiwitz, Julia Malo Pueyo, Ekaterina Baranova, Wim Vranken, Hedwig Stanisz, Ioana Stejerean‐Todoran, Michael P. Schön, Joris Messens, Ivan Bogeski   +17 more
wiley   +1 more source

Dynamic parameter identification of upper-limb rehabilitation robot system based on variable parameter particle swarm optimisation

IET Cyber-systems and Robotics, 2020
To solve the problem of uncertain parameters in dynamic modelling of upper-limb rehabilitation robots, a dynamic parameter identification method based on variable parameters particle swarm optimisation (PSO) is developed.
Jin Lei Wang, Yafeng Li, Aimin An
doaj   +1 more source

Evolutionary Inverse Material Identification: Bespoke Characterization of Soft Materials Using a Metaheuristic Algorithm

Frontiers in Robotics and AI, 2022
The growing interest in soft robotics has resulted in an increased demand for accurate and reliable material modelling. As soft robots experience high deformations, highly nonlinear behavior is possible. Several analytical models that are able to capture
Michele Di Lecce, Onaizah Onaizah, Peter Lloyd, James H. Chandler, Pietro Valdastri   +4 more
doaj   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source

Unconstrained evolutionary and gradient descent-based tuning of fuzzy-partitions for UAV dynamic modeling [PDF]

FME Transactions, 2017
In this paper, a novel fuzzy identification method for dynamic modelling of quadrotors UAV is presented. The method is based on a special parameterization of the antecedent part of fuzzy systems that results in fuzzy-partitions for antecedents.
Nemes Attila, Mester Gyula
doaj  

Variable step strategy for online secondary path modelling in active vibration control systems

The Journal of Engineering, 2018
An online modelling method for secondary path of two distinct variable step-size strategies based on the filtered-x least square (FXLMS) algorithm is proposed.
Xiaojing Yang, Junwen Hu, Shan Li
doaj   +1 more source

Design of extended Kalman filtering neural network control system based on particle swarm identification of nonlinear U-model

Automatika, 2022
This paper studies the modelling of a class of nonlinear plants with known structures but unknown parameters and proposes a general nonlinear U-model expression. The particle swarm optimization algorithm is used to identify the time-varying parameters of
Fengxia Xu, Xinyu Zhang, Zhongda Lu, Shanshan Wang   +3 more
doaj   +1 more source

Weather Radar Ground Clutter, Part I: Identification, Modeling and Simulation

Journal of Atmospheric and Oceanic Technology, 2009
Abstract Real-time ground-clutter identification and subsequent filtering of clutter-contaminated data is addressed in this two-part paper. Part I focuses on the identification, modeling, and simulation of S-band ground-clutter echo. A new clutter identification parameter, clutter phase alignment (CPA), is presented.
G. Meymaris, S. M. Ellis, M. Dixon, J. C. Hubbert   +3 more
openaire   +1 more source