The combination of molecular dynamics (MD) simulations and small-angle X-ray scattering (SAXS), called the MD-SAXS method, is efficient for investigating protein dynamics.To overcome the time-scale Key Holder limitation of all-atom MD simulations, coarse-grained (CG) representations are often utilized for biomolecular simulations.In this study, we
Online Inertia Estimation Using Electromechanical Oscillation Modal Extracted from Synchronized Ambient Data
An ambient modal framework for inertia estimation using synchrophasor data is proposed in this letter.Specifically, an analytical formulation is developed PERFECT 4 PLATINUM REPAIR MASQUE for the estimation of inertia based on the frequency and damping ratio modes extracted from ambient data.An advantage of the proposed framework is that it can rel
Culture as a commodity: reflections on the process of cultural commodification in the capitalist mode of production
The article proposes a reflection on the role of culture in the reproduction of the capitalist system, as well as on the process of cultural commodification based on the bibliographical revision of important exponent of Cultural Studies, Raymond Williams, and thinkers of the Frankfurt School, among them Theodor Adorno and Max Horkheimer.Starting fr
Dynamic Modelling and Motion Control of a 4-DOF SCARA Robotic Arm for Various Farm Applications
Agriculture as a key industry for human food suply will face Gloves various concerns in near future.This research is complementary and aims to present the dynamic modelling and simulation, as well as algorithm development of a 4-DOF SCARA-type robotic arm designed for real agricultural cultivation process, such as seeding, watering, fertilizing, we
Segmentation of White Blood Cells Based on CBAM-DC-UNet
Monitoring the morphology of blood leukocytes, plays an important role in medical research, especially in the treatment of diseases such as immunodeficiency.Traditional manual detection methods are susceptible to numerous interference factors.Therefore, blood cells are often segmented using deep-learning algorithms.This study proposes a U-Net model