Humans and many other animals can innately recognize familiar objects in their surroundings, irrespective of the angle they are observed from, changes in lighting or other shifts in the surrounding ...

To capture higher-definition and sharper images of cosmological objects, astronomers sometimes combine the data collected by several telescopes. This approach, known as long-baseline interferometry, ...

Cat-transmitted sporotrichosis is one of the fastest spreading zoonosis in Rio de Janeiro State, Brazil. A retrospective study was conducted with analysis of incidence of human sporotrichosis ...

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...

Visual-spatial processing is considered to be the core pillar of human cognition as it effects how we perceive, represent, manipulate, and act within space (Carrasco, 2018; Lecce et al.; Trés and ...

Abstract: Mangrove forests, as a quintessential blue carbon ecosystem, play a vital role in the global carbon cycle and climate regulation. However, studies on the spatial distribution patterns of ...

The spatial distribution of green food enterprises reflects the level of agricultural modernization and ecological civilization construction within a region. Research into this distribution carries ...

This study analyzes the spatiotemporal evolution of thermal extremes in Douala, Cameroon, using Landsat-derived land surface temperature from 1994, 2004, 2014, and 2024. The author employed the ...

Understanding the temporal dynamics of gene expression within spatial contexts is essential for deciphering cellular differentiation. RNA velocity, which estimates the future state of gene expression ...