En esta práctica se utilizarán conocimientos de cinemática para encontrar el valor de la aceleración gravitacional, por medio de dos experimentos diferentes, uno que involucra la caída libre y el otro involucra un péndulo, además, se estimará la confianza y validez de los resultados.
This report gives an overview of the various machine learning algorithms implemented to detect certain comments that may appear insulting to another participant on a social networking platform. Feature selection was performed using n-grams, and the WEKA machine learning toolkit was used to build supervised learning clasifiers, that provided an accuracy of 82% on the test dataset. The dataset was obtained from the popular data science competition portal, Kaggle.
The contributions from conduction, convection, and radiation for an end-heated aluminum rod were quantified with experimental considerations in mind. Multiple experiments were carried out to ascertain various physical properties of the system and the aluminum rod. By applying heat-flow theory, simulations, and data-fitting techniques, the specific heat capacity, conductivity, emissivity, convective heat transfer coefficient of the system, and thermal contact resistance between the power source and aluminum rod were determined.
Understanding the physiological role of lipids in cell membranes is strictly coupled to determination of their impact on membrane structure using well-defined lipid-only model systems. Elastic and inelastic scattering experiments using neutrons or X-rays are non-invasive, probe-free techniques that provide such insight and have been advanced significantly in the past years. In particular recent developments allow to study details of structure, elasticity and interactions in phase-separated systems mimicking membrane rafts. We review the basic concepts underlying these developments.
Written using the LaTeX template for Royal Society of Chemistry (RSC) journals