Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas +6 more
wiley +1 more source
Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing. [PDF]
Moon S, Lim Y.
europepmc +1 more source
Ionomycin suppresses cancer cell growth by disrupting mitochondrial transcription
In this study, we identify a new function for the selective Ca2+ ionophore, ionomycin, as an inhibitor of mitochondrial transcription. Both total and nascent RNA analyses revealed that ionomycin treatment reduces the transcription of mitochondrial genes.
Lishen Wang +10 more
wiley +1 more source
Joint Deep Reinforcement Learning and Unsupervised Learning for Channel Selection and Power Control in D2D Networks. [PDF]
Sun M, Jin Y, Wang S, Mei E.
europepmc +1 more source
NMR metabolomics revealed concentration‐dependent metabolic perturbations in HepG2 cells exposed to H2O2. Rifampicin pretreatment enhanced metabolic competence, attenuated toxin‐induced alterations and produced metabolite profiles more consistent with human liver physiology, supporting the use of CYP450‐induced HepG2 models for improved in vitro ...
Maren Jinks +4 more
wiley +1 more source
Active pixel power control for crosstalk-free all-optical neural interrogation. [PDF]
Yan G +7 more
europepmc +1 more source
Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning. [PDF]
Raghu R, Panju M, Aggarwal V, Sharma V.
europepmc +1 more source
Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments
Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley +1 more source
Machine learning based power control in cellular and cell-free massive MIMO systems. [PDF]
Ahmadi N, Akbarizadeh G.
europepmc +1 more source
A Self-Regulating Power-Control Scheme Using Reinforcement Learning for D2D Communication Networks. [PDF]
Ban TW.
europepmc +1 more source

