The Use of Artificial Intelligence Approaches for Performance Improvement of Low-Cost Integrated Navigation Systems.

In this paper, the authors investigate the possibility of applying artificial intelligence algorithms to the outputs of a low-cost Kalman filter-based navigation solution in order to achieve performance similar to that of high-end MEMS inertial sensors. To further improve the results of the prototype and simultaneously lighten filter requirements, different AI models are compared in this paper to determine their performance in terms of complexity and accuracy. By overcoming some known limitations (e.g., sensitivity on the dimension of input data from inertial sensors) and starting from Kalman filter applications (whose raw noise parameter estimates were obtained from a simple analysis of sensor specifications), such a solution presents an intermediate behavior compared to the current state of the art. It allows the exploitation of the power of AI models. Different Neural Network models have been taken into account and compared in terms of measurement accuracy and a number of model parameters; in particular, Dense, 1-Dimension Convolutional, and Long Short Term Memory Neural networks. As can be excepted, the higher the NN complexity, the higher the measurement accuracy; the models' performance has been assessed by means of the root-mean-square error (RMSE) between the target and predicted values of all the navigation parameters.

Renal Cystinuria and Immune Cells (T Lymphocytes) Dysfunction: What We Know about?

INTRODUCTION: Cystinuria (CYS) is the most common monogenic kidney stone disease. METHODS: Starting from an unusual case of CYS associated to primary sclerosing cholangitis, inflammatory bowel disease (IBD), and autoimmune hepatitis in a young male, we carefully review the literature and propose here a working hypothesis regarding the potential risk of cystinuric patients to develop conditions due to immune system dysregulation. To corroborate this hypothesis, we retrospectively evaluate the frequency of dysimmunity in a monocentric cohort including 36 cystinuric patients compared to healthy and disease controls. RESULTS: CYS patients have an increased prevalence of atopic disease compared to disease controls (p = 0.03) and 16.7% of CYS subjects were diagnosed with allergic disease to a variety of antigens. CONCLUSION: Further studies are needed to define the relationship between proximal tubular transport defect of CYS and dysregulated immunity.