Tetradic double-network physical crosslinking hydrogels with synergistic high stretchable, self-healing, adhesive, and strain-sensitive properties

Herein,we demonstrate a tetradic double-network physical cross-linking hydrogel comprising of gelatin,polyacrylic acid,tannic acid,and aluminum chloride as wearable hydrogel sensors.Based on the coordination bonds,hydrogen bonds,and chain entanglements of the two networks,the acquired hydrogel possesses excellent tensile properties,self-healing performance,and adhesiveness to many substrates.Mechanical properties can be tuned with fracture strain ranging from 900 to 2200%and tensile strength ranging from 24 to 216 kPa,respectively.Besides,the hydrogel also exhibits good strain-sensitivity when monitoring the motions of humans,such as bending of fingers,bending of elbows.Hence,we can believe that the GATA hydrogel has numerous applications in soft robots,intelligent wearable devices,and human health supervision.

Water-resistant conductive organogels with sensation and actuation functions for artificial neuro-sensory muscular systems

The development of functional flexible conductive materials can significantly contribute to the improvement of intelligent human–computer integration.However,it is a challenge to endow human–machine interface with perception and response actuation simultaneously.Herein,a customizable and multifunctional electronic conductive organogel is proposed by combining conductive carbon nanotube(CNT)clusters and flexible adhesive organogels.The conductive CNT cluster layers generated on the surface of organogels equip the resulting organogel-based conductors with considerable quasi-superhydrophobicity and increase their potential applicability as highly sensitive stress and strain sensors.In particular,this quasi-superhydrophobicity is insensitive to tensile strain.Based on customizable conductive networks and entropy-driven organogel actuation,the conductive organogels can sense various strain and stress signals and imitate natural organisms with muscle actuation and neurofeedback.This strategy for preparing electronic conductors can enhance the rational design of soft robotics and artificial intelligence devices,facilitating further progress of human-like intelligent systems.

Expert recommendations on data collection and annotation of two dimensional ultrasound images in azoospermic males for evaluation of testicular spermatogenic function in intelligent medicine

Testicular two-dimensional ultrasound is a testing modality that is often used to evaluate azoospermia and other related diseases.With the continuous development of deep learning in recent years,the combination of deep learning and testicular ultrasound appears unstoppable despite a lack of relevant standards.One of the major problems associated with the digitization of ultrasound images is the uneven quality of data however,and a standardized data source and acquisition process has not yet been developed.Such a standard could fill the current gap,and establish acquisition criteria for ultrasound images of testes during the male reproductive period,including grayscale ultrasound,shear wave elastography,and contrast-enhanced ultrasound.By following these guidelines the quality of testicular ultrasound images would be improved and standardized,which would lay a solid foundation for the standardization of testicular ultrasound images,and assist automated evaluation of testicular spermatogenic function of whole testis in azoospermic males.