Remote and real time control of an FVIO–enzyme hybrid nanocatalyst using magnetic stimulation

Nanoscale ◽  
2019 ◽  
Vol 11 (39) ◽  
pp. 18081-18089 ◽  
Author(s):  
Ran Xiong ◽  
Wenting Zhang ◽  
Yifan Zhang ◽  
Ye Zhang ◽  
Yimin Chen ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Real Time ◽  
Magnetic Stimulation ◽  
Local Heating ◽  
Alternating Magnetic Field ◽  
Field Stimulation ◽  
Hybrid Catalyst ◽  
Real Time Control ◽  
Time Control ◽  
Stimulation Of

Rapid and effective local heating was achieved by alternating magnetic field stimulation of the ferrimagnetic vortex-domain nanoring (FVIO) structure, enabling real-time and specific modulation of the nanosized FVIO–enzyme hybrid catalyst.

Real-time control of a magnetic levitation device based on instantaneous modeling of magnetic field

Mechatronics ◽  
2008 ◽  
Vol 18 (10) ◽  
pp. 536-544 ◽  
Author(s):  
Ehsan Shameli ◽  
Mir Behrad Khamesee ◽  
Jan Paul Huissoon
Keyword(s):  
Magnetic Field ◽  
Real Time ◽  
Magnetic Levitation ◽  
Real Time Control ◽  
Time Control

scholarly journals Hysteresis Modelling in Ferromagnetic Composites

2004 ◽  
Vol 13 (1) ◽  
pp. 096369350401300
Author(s):  
A. Ktena ◽  
D. I. Fotiadis ◽  
C. V. Massalas
Keyword(s):  
Magnetic Field ◽  
Real Time ◽  
Elastic Properties ◽  
Temperature Response ◽  
Real Time Control ◽  
Time Control ◽  
Field Response ◽  
Hysteresis Operators

The class of models presented here, targeting the modelling of hysteresis processes in the magnetic and elastic properties of ferromagnetic composites, is based on the Preisach formalism. The 1D and 2D formulations are equipped with a set of five different local hysteresis operators, to address different hysteretic responses. The resulting algorithms are efficient enough to be used as core models in simulations or real-time control. The types of hysteretic responses discussed and modeled include the magnetization vs. magnetic field response, M(H), the deformation vs. temperature response, x(T), and the deformation vs. field response, λ(H), also known as magnetostriction.

scholarly journals Electrogenetic cellular insulin release for real-time glycemic control in type 1 diabetic mice

Science ◽  
2020 ◽  
Vol 368 (6494) ◽  
pp. 993-1001 ◽  
Author(s):  
Krzysztof Krawczyk ◽  
Shuai Xue ◽  
Peter Buchmann ◽  
Ghislaine Charpin-El-Hamri ◽  
Pratik Saxena ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
Real Time ◽  
Insulin Release ◽  
Ectopic Expression ◽  
Diabetic Mice ◽  
Real Time Control ◽  
Β Cells ◽  
Time Control ◽  
Stimulation Of

Sophisticated devices for remote-controlled medical interventions require an electrogenetic interface that uses digital electronic input to directly program cellular behavior. We present a cofactor-free bioelectronic interface that directly links wireless-powered electrical stimulation of human cells to either synthetic promoter–driven transgene expression or rapid secretion of constitutively expressed protein therapeutics from vesicular stores. Electrogenetic control was achieved by coupling ectopic expression of the L-type voltage-gated channel CaV1.2 and the inwardly rectifying potassium channel Kir2.1 to the desired output through endogenous calcium signaling. Focusing on type 1 diabetes, we engineered electrosensitive human β cells (Electroβ cells). Wireless electrical stimulation of Electroβ cells inside a custom-built bioelectronic device provided real-time control of vesicular insulin release; insulin levels peaked within 10 minutes. When subcutaneously implanted, this electrotriggered vesicular release system restored normoglycemia in type 1 diabetic mice.

A Real Time Control Architecture for Continuously Managing Patients in a Care Unit

1995 ◽  
Vol 34 (05) ◽  
pp. 475-488
Author(s):  
B. Seroussi ◽  
J. F. Boisvieux ◽  
V. Morice
Keyword(s):  
Real Time ◽  
Linear Time ◽  
Treatment Plan ◽  
Control Architecture ◽  
Real Time Control ◽  
Time Representation ◽  
Time Control ◽  
Continuous Support ◽  
Definition Of ◽  
Computerized System

Abstract:The monitoring and treatment of patients in a care unit is a complex task in which even the most experienced clinicians can make errors. A hemato-oncology department in which patients undergo chemotherapy asked for a computerized system able to provide intelligent and continuous support in this task. One issue in building such a system is the definition of a control architecture able to manage, in real time, a treatment plan containing prescriptions and protocols in which temporal constraints are expressed in various ways, that is, which supervises the treatment, including controlling the timely execution of prescriptions and suggesting modifications to the plan according to the patient’s evolving condition. The system to solve these issues, called SEPIA, has to manage the dynamic, processes involved in patient care. Its role is to generate, in real time, commands for the patient’s care (execution of tests, administration of drugs) from a plan, and to monitor the patient’s state so that it may propose actions updating the plan. The necessity of an explicit time representation is shown. We propose using a linear time structure towards the past, with precise and absolute dates, open towards the future, and with imprecise and relative dates. Temporal relative scales are introduced to facilitate knowledge representation and access.

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