Nano MgO loaded thermosensitive HPCH@HA hydrogel accelerates in situ bone repair through osteoimmunomodulation while enhancing angiogenesis and osteogenesis.

Bone defect repair is a complex physiological process, starting with early modulation by the inflammatory immune system, and involves multiple physiological events, including angiogenesis, osteogenic differentiation, and mineralization. Biomaterial can regulate inflammatory responses through relevant immune cells in the local immune microenvironment of the implant-bone interface which is a hot topic in the field of regenerative medicine. Currently, Mg regulates immune cells in the bone microenvironment to promote osteogenesis and angiogenesis mainly focuses on macrophages,but there is relatively little research on T cells.

Temperature Compensation for MEMS Accelerometer Based on a Fusion Algorithm.

This study proposes a fusion algorithm based on forward linear prediction (FLP) and particle swarm optimization-back propagation (PSO-BP) to compensate for the temperature drift. Firstly, the accelerometer signal is broken down into several intrinsic mode functions (IMFs) using variational modal decomposition (VMD); then, according to the FE algorithm, the IMF signal is separated into mixed components, temperature drift, and pure noise. After that, the mixed noise is denoised by FLP, and PSO-BP is employed to create a model for temperature adjustment.

A New Dual-Mass MEMS Gyroscope Fault Diagnosis Platform.

MEMS gyroscopes are one of the core components of inertial navigation systems. The maintenance of high reliability is critical for ensuring the stable operation of the gyroscope. Considering the production cost of gyroscopes and the inconvenience of obtaining a fault dataset, in this study, a self-feedback development framework is proposed, in which a dualmass MEMS gyroscope fault diagnosis platform is designed based on MATLAB/Simulink simulation, data feature extraction, and classification prediction algorithm and real data feedback verification.

Dual-Mass MEMS Gyroscope Parallel Denoising and Temperature Compensation Processing Based on WLMP and CS-SVR.

For the sake of decreasing the effects of noise and temperature error on the measurement accuracy of micro-electro-mechanical system (MEMS) gyroscopes, a denoising and temperature drift compensation parallel model method based on wavelet transform and forward linear prediction (WFLP) and support vector regression based on the cuckoo search algorithm (CS-SVR) is proposed in this paper. First, variational mode decomposition (VMD) is proposed in this paper, which is aimed at dividing the output signal of the gyroscope into intrinsic mode functions (IMFs); then, the IMFs are classified into three features-drift, mixed, and pure noise features-by the sample entropy (SE) value. Second, a wavelet transform and forward linear prediction (WFLP) are combined to remove the noise from the mixed features.