This work aims at predicting emotion based on the colors present in images and video excerpts using a machine-learning approach.The purpose of this paper is threefold: (a) to develop a machine-learning algorithm that classifies emotions based on the color present in an image, (b) to select the best-performing algorithm from the first phase and appl
In this paper, a mathematical model is developed to simulate the activation of Ultimate Repair Mask regulatory T lymphocytes dynamics.The model considers the adaptive immune response and consists of epithelial cells, infected cells, free virus particles, helper and cytotoxic T lymphocytes, B lymphocytes, and regulatory T lymphocytes.A mathematical
This paper describes a method to provide quality control for radial velocity maps derived from radar echo voltage cross spectra measured by Neck Cream broad-beam high frequency radars.The method involves the comparison of voltage cross spectra measured at Doppler frequencies in the Bragg region with values predicted from basic equations defining th
This study provides additional evidence of the usefulness of mean-variance procedures in the presence of options which can truncate and skew the returns distribution.Using a simulation analysis, price hedging decisions Pop! Jumbo are examined for hog producers when options are available.Mean-variance results are contrasted with optimal decisions ba
Abstract Background Although many studies have been carried out to learn about maternal care practices in rural areas and urban-slums of Bangladesh, none have focused on ultra poor women.Understanding the context in which women would be willing to accept new practices is essential for developing realistic and relevant behaviour change messages.This