Results 71 to 80 of about 29,226 (268)
A 3D‑printed multilayer adhesive scaffold, firmly anchored to bone defects by simple finger pressing, suppresses micromotion and secures mechanical stability of the osteogenic niche. This stabilization likely contributes to the enhanced bone augmentation by fostering a pro‑regenerative mechano‐immune profile—characterized by M2‑like macrophage ...
Delu Zhao +7 more
wiley +1 more source
Physics‐encoded transfer learning for scale‐up modeling of CHO cell bioreactors
Abstract Developing reliable predictive models for mammalian cell bioreactors, particularly Chinese hamster ovary (CHO) cultures widely used in biopharmaceutical manufacturing, remains challenging due to severe data scarcity in industrial‐scale reactors.
Muyang Li, Ming Xiao, Zhe Wu
wiley +1 more source
In PMSM motor drive systems, control accuracy and resistance have always been the most important challenges for researchers. This paper addresses these two challenges and presents a control structure that makes the system performance robust against model
Deyue Meng, Zengqiang Ma, Wei Liu
doaj +1 more source
Hierarchically engineered electrocatalysts for durable oxygen reduction in zinc–air batteries
Abstract Rechargeable zinc–air batteries (ZABs) are promising energy storage systems but are limited by sluggish oxygen reduction reaction (ORR) kinetics at the air cathode. Herein, we report hierarchically engineered cobalt tetraaminophthalocyanine/MXene (CoPc/MXene) electrocatalysts prepared via cetyltrimethylammonium bromide‐mediated self‐assembly ...
Rui Guo +6 more
wiley +1 more source
Cosecha de agua de lluvia y medidas de control para aguas de tormenta en el entorno rural y urbano
Es necesario entender y aceptar el escenario de un clima cambiante aplicado a diferentes entornos. Podemos, con la utilización de tecnologías innovadoras, mitigar estos efectos, siendo necesaria una caracterización previa del entorno.
Denise Delvalle de Borrero
doaj
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
LOCAL LINEARIZATION OF KERNEL MODELS IN REAL TIME AS A BASIS FOR FAST OPTIMIZATION IN MPC
Magnetic separation of iron ore is a complex nonlinear process whose control requires accounting for transport delays, cross-coupling effects, and stochastic variability of raw materials.
O. Volovetskyi
doaj +1 more source
INFLUENCE OF COAL DUST ON ACCUMULATION OF Pb, Cd SPROUTS OF BEAN CULTURE
Investigated the effect of dust emission of coal fuel to the pea seedlings on the dark-chestnut soil at the modeling experience. The dust introduction into the soil, consists lead and cadmium, was more intensive accumulated in the roots than in the ...
D A Askarova
doaj +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source

