Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
Heuristic Binary Search for Modulated Predictive Control
Predictive Control optimization often relies on exhaustive enumeration of voltage vectors within the finite control set. Using Virtual Voltage Vector strategies tend to increase the number of predictions to enhance dynamic and steady state performance ...
Rafael FIgueiredo +3 more
doaj +1 more source
Model predictive Direct Flux Vector Control of multi three-phase induction motor drives [PDF]
A model predictive control scheme for multiphase induction machines, configured as multi three-phase structures, is proposed in this paper. The predictive algorithm uses a Direct Flux Vector Control scheme based on a multi three-phase approach, where ...
Bojoi, R. +3 more
core +3 more sources
The LINC01116 long noncoding RNA is induced by hypoxia and associated with poor prognosis and high recurrence rates in two cohorts of lung adenocarcinoma patients. Here, we demonstrate that besides its expression in cancer cells, LINC01116 is markedly expressed in lymphatic endothelial cells of the tumor stroma in which it participates in hypoxia ...
Marine Gautier‐Isola +12 more
wiley +1 more source
Performance Analysis of Current Control Strategies for Hybrid Stepper Motors
Hybrid stepper motors are widespread in industrial automation due to their robustness and high torque performance in low speed range, e.g. 3D printers, pick and place, and generally in many low power positioning applications.
Fabio Bernardi +5 more
doaj +1 more source
Guidelines for Weighting Factors Adjustment in Finite State Model Predictive Control of Power Converters and Drives [PDF]
INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY () (.2009.VICTORIA, AUSTRALIA)Model Predictive Control with a finite control set has emerged as a promising control tool for power converters and drives.
Cortés, Patricio +7 more
core
Reference voltage vector based model predictive torque control with RMS solution for PMSM
To reduce the computational burden of a conventional model predictive torque controller (MPTC), a reference voltage vector based MPTC strategy is proposed.
De Belie, Frederik +3 more
core +1 more source
Simple and robust predictive direct control of DFIG with low constant switching frequency and reduced torque and flux ripples [PDF]
For conventional direct torque control (CDTC) methods, there are usually undesired torque and flux ripples mainly for two reasons. First, the vectors selected are not necessary the best. Secondly, one-step delay influence in digital implementation causes
Guo, Y, Hu, J, Ma, Q, Zhang, Y, Zhu, J
core +1 more source
Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken +7 more
wiley +1 more source
Hybrid Control Strategy of MPC and DBC to Achieve a Fixed Frequency and Superior Robustness
In this paper, a hybrid control strategy for power converters, based on improved deadbeat control (DBC) and improved finite control set model predictive control (MPC), is proposed.
Yuhan Zhang +3 more
doaj +1 more source

