If people do not observe inequality, they are less likely to favor policies that redistribute wealth, such as taxation—but ...

This valuable study investigates how perceptual and semantic features of maternal behavior adapt to infants' attention during naturalistic play, providing new insights into the bidirectional and ...

The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Natalya Yashina is a CPA, DASM with over 12 years of experience in ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Traditional and Roth IRAs let you save for retirement with tax advantages. IRA contribution limits increase with age, allowing more savings as retirement nears. IRAs offer flexible investment options ...

We study how the spatial distribution of income and commuting patterns within cities vary across the development spectrum, drawing on new granular data from 50,000 neighborhoods in 121 cities across ...

Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...

United Hardware and Do it Best approved a previously announced merger. The goal of the merger of hardware, lumber and building materials buying cooperative Do it Best (Fort Wayne, IN) and wholesale ...

Abstract: Graph Neural Networks (GNN) is a type of neural network specifically designed for processing graph structured data, which is very suitable for topology optimization in power systems. GNN can ...

This project is a Deep Learning-based Streamlit web application that detects plant diseases from leaf images using a Convolutional Neural Network (CNN). It provides real-time predictions with ...