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The goal of this paper is to introduce a new non-invasive method for induction of skin rejuvenation using pulsed electric fields (PEF).
The optimal method for induction of labor for multiparous women with an unfavorable cervix is unknown.
The purpose of the present study was to establish a useful method for induction of the estrus in miniature gilts.
This research proposes an intelligent diagnosis method for induction motor which utilizes deep learning model to automatically learn features from sensor data and realize working status recognition.
We describe a simple method for induction of necrotic lesions in the adult zebrafish heart based on cryoinjury.
Here, we present a simple method for induction of necrotic lesions in the adult zebrafish heart based on cryoinjury.
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A state of the art review of control and estimation methods for induction motor (IM) based on conventional approaches, sliding mode control (SMC) and sensorless SMC is presented.
Machine design and high-frequency material properties influence the transient electrical behavior which is not only important for the design of the machine, but can also be exploited for sensorless control methods for induction machines.
These results indicate that treatment with a low-dose combination of PMSG and hCG provides one of the simplest methods for induction of estrus and ovulation in pubertal miniature pigs.
Numerous fault diagnosis methods for induction motors have been proposed so far which can be classified in three main types depending on their diagnosis procedure [1], namely model based, signal based, and data based.
We performed variable selection by simple correlation study, identification of the initial relationship between variables through non-linear curve fitting and used multi-step methods for induction of variables in the non-linear regression analysis along with applied Gauss-Markov models, and ANOVA for testing the prediction, validity and constructing the confidence intervals.
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