As early as the 1950s, Pakistan’s policymakers recognised the negative impact of a rapidly growing population. The preamble of the country’s first Five-Year Plan (1955–60) warned that hopes for ...

Christina Majaski writes and edits finance, credit cards, and travel content. She has 14+ years of experience with print and digital publications. Eric's career includes extensive work in both public ...

Population genetics is the study of the genetic composition of populations, including distributions and changes in genotype and phenotype frequency in response to the processes of natural selection, ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Eric's career includes extensive work in ...

Comparative analyses of the behaviour of individual animals across multiple populations are rare. We analysed the relationship between local population density and individual behaviour across 36 wild ...

Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...

To execute this you will first need to gather and prepare the ABIDE dataset that was used for this project. You can do so by running the 00_fetch_data.py and 01_prep_data.py scripts. If you would like ...

Will you have a white Christmas this year? What do you notice about the map below? What questions does it raise for you? By The Learning Network What do you notice about the global nuclear stockpile, ...

QVGE is a multiplatform graph editor written in C++/Qt. Its main goal is to make possible visually edit two-dimensional graphs in a simple and intuitive way. Please note that QVGE is not a replacement ...

Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...

Abstract: We propose a Multi-graph Attention spatial-temporal graph convolutional network (MGA-STGCN) for AHP risk forecasting. To describe the temporal and spatial features of the area, we use ...