Enhancing Pure Inertial Navigation Accuracy through a Redundant High-Precision Accelerometer-Based Method Utilizing Neural Networks.

The pure inertial navigation system, crucial for autonomous navigation in GPS-denied environments, faces challenges of error accumulation over time, impacting its effectiveness for prolonged missions. Traditional methods to enhance accuracy have focused on improving instrumentation and algorithms but face limitations due to complexity and costs. This study introduces a novel device-level redundant inertial navigation framework using high-precision accelerometers combined with a neural network-based method to refine navigation accuracy. Experimental validation confirms that this integration significantly boosts navigational precision, outperforming conventional system-level redundancy approaches. The proposed method utilizes the advanced capabilities of high-precision accelerometers and deep learning to achieve superior predictive accuracy and error reduction. This research paves the way for the future integration of cutting-edge technologies like high-precision optomechanical and atom interferometer accelerometers, offering new directions for advanced inertial navigation systems and enhancing their application scope in challenging environments.

BiO(OH)xI1-x solid solution with rich oxygen vacancies: interlayer guest hydroxyl for improved photocatalytic properties.

A series of BiO(OH)xI1-x solid solution (SS) catalysts were successfully prepared by ion exchange of I- and OH- between the [Bi2O2]2+ layers. The morphology and microstructure were studied in depth using X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), and Brunauer-Emmett-Teller (BET) method, etc. Tunable absorption in the visible-light region was achieved by changing the proportion of OH- to I-. Due to the etching effect of OH-, oxygen vacancies (OVs) greatly increased for the SS catalysts, and were confirmed by X-ray photoelectron spectroscopy (XPS), UV-vis diffuse reflectance spectroscopy (DRS), and electron paramagnetic spectroscopy (EPR). The unique composition of OH-, I-, OV, and [Bi2O2]2+ layers in BiO(OH)xI1-x materials resulted in diverse photoexcitations. The BiO(OH)0.45I0.55 photocatalyst displayed a 10-fold-improved 2-chlorophenol (2-CP) degradation rate compared to BiOI. The interfacial reaction process by the photoinduced valence-band holes and conduction-band electrons proved to be a more efficient pathway for organic pollutant degradation by the BiO(OH)xI1-x SS photocatalyst. The OVs in the SS photocatalyst facilitated photoexcited and electron migration and transformation.

MiR-1204 promotes ovarian squamous cell carcinoma growth by increasing glucose uptake.

MiR-1204 has been recently identified as an oncogenic miRNA in breast cancer. Our study aims to investigate the role of miR-1204 in ovarian squamous cell carcinoma. Expression of miR-1204 and glucose transporter 1 in ovarian biopsies and plasma of both OC patients and healthy controls was detected by qRT-PCR. Correlations between patients' clinicopathological data were analyzed by Chi-square test. MiR-1204 overexpression OC cell lines were established. Expression of GLUT-1 protein was detected by western blot. Glucose uptake was measured by glucose uptake assay. Cell proliferation was detected by CCK-8 assay. We found that miR-1204 expression was significantly correlated with tumor size. Expression levels of miR-1204 and GLUT-1 were significantly high in OC patients. Expression levels of miR-1204 were positively correlated with expression levels of GLUT-1 in OC patients. MiR-1204 overexpression significantly promoted GLUT-1 expression, glucose uptake and cell proliferation. MiR-1204 may promote ovarian squamous cell carcinoma growth by increasing glucose uptake.