Learning complex nonlinear dynamics of a 3D translational parallel manipulator using neural network.

This study investigates modeling the dynamics of a 3D translational parallel manipulator with closed chains using feedforward neural networks (FFNNs). The dataset exceeds 50,000 samples, incorporating experimental data collected from a robot prototype using MATLAB® real-time workshop and the National Instruments DAQ toolbox, as well as CAD simulation data from MSC ADAMS software. While achieving satisfactory mean squared error (MSE), some predictions did not fully capture the manipulator's dynamics, with small overfitting observed.

Organic and inorganic nanomaterials: fabrication, properties and applications.

Nanomaterials and nanoparticles are a burgeoning field of research and a rapidly expanding technology sector in a wide variety of application domains. Nanomaterials have made exponential progress due to their numerous uses in a variety of fields, particularly the advancement of engineering technology. Nanoparticles are divided into various groups based on the size, shape, and structural morphology of their bodies.

MIR-379-5p Expression in Endometrial Cancer and Its Correlation with ROR1 Expression.

Objective: To asses miR-379-5p expression in endometrial cancer (EC) and its correlation with ROR1 expression and to investigate the relation between miR-379-5p and ROR1 expressions and the clinicopathological picture of EC.

Methods: Fifty female of EC were joined to this study. The gene expression of miR-379-5p (by quantitative real time-PCR) and ROR1 (by quantitative real time-PCR and immunohistochemistry) were studied in EC and normal nearby endometrial tissue.

Reinforcing effect of tramadol in the rat.

Tramadol is one of the most commonly prescribed analgesic opioids in various pharmacopeias. Tramadol has been linked to abuse in recent clinical investigations. However, the behavioral effects and neural substrates of the drug have not been well characterized in preclinical studies.

Fuzzy Control Modeling to Optimize the Hardness and Geometry of Laser Cladded Fe-Based MG Single Track on Stainless Steel Substrate Prepared at Different Surface Roughness.

Metallic glass (MG) is a promising coating material developed to enhance the surface hardness of metallic substrates, with laser cladding having become popular to develop such coatings. MGs properties are affected by the laser cladding variables (laser power, scanning speed, spot size). Meanwhile, the substrate surface roughness significantly affects the geometry and hardness of the laser-cladded MG.