the-antihypertensive-effects-mechanisms-huotan-jiedu-tongluo

The Antihypertensive Effects and Mechanisms of Huotan Jiedu Tongluo Decoction in Rats with H-Type Hypertension

H-type hypertension, which is a specific form of hypertension characterized by elevated plasma homocysteine (Hcy) levels, has become a major public health ...

Changchun University of Chinese Medicine

Nowadays, hydrogels have been intensively explored due to their promising potential application in bioelectronics. However, the lack of self-healing performance limits the lifespan and stability of materials. Here, a stretchable, self-healing and conductive hydrogel is prepared via physical crosslinking including hydrogen bonding, hydrophobic association and complexation effect, endowing the hydrogels with stretchability of 1150%, tensile strength of 112 kPa, flexibility and puncture resistance. Besides, the hydrogels possess extraordinary conductive property with a conductivity of 0.0720 S cm and exhibit stable changes of resistance signals with a gauge factor of 2.506. Meanwhile, the hydrogels also exhibit adhesive performance due to the presence of catechol groups, and the maximum peeling adhesive strength could reach 23 N m. It is envisioned that the highly stretchable, self-healable, adhesive and conductive hydrogels would widen the application as the flexible strain sensors for soft robots, artificial limb, movement-monitoring equipment.

Bio-inspired adhesive and self-healing hydrogels as flexible strain sensors for monitoring human activities.

An intelligent health detection model is a new technology developed under an artificial intelligence environment, which is of great significance to the care of the elderly and other people who cannot take care of themselves. This paper comprehensively reviews the structural health monitoring method based on an intelligent algorithm, introduces the application model of neural networks in structural health monitoring in detail, and points out the shortcomings of using neural network technology alone. On the basis of previous work, the genetic algorithm and fuzzy theory were introduced as optimization tools, and a new neural network training algorithm was constructed by combining genetic algorithm, fuzzy theory, and neural network technology for structural health monitoring research. Aimed at the shortcoming of insufficient samples for training neural networks based on experimental data, this paper proposes to use the finite element method to construct a genetic fuzzy RBF neural network after corresponding processing of the first six-order bending modal frequencies of the structure, so as to realize the localization and detection of delamination damage of composite beams. . The experimental results of this paper show that the finite element method proposed in this paper can effectively carry out damage localization and damage assessment; compared with the traditional algorithm, the localization accuracy of this algorithm is improved by 20%, and the damage assessment performance is improved by 10%.

Xiaoling Shang

Changchun University of Chinese Medicine

The Antihypertensive Effects and Mechanisms of Huotan Jiedu Tongluo Decoction in Rats with H-Type Hypertension