The purpose of this study was to explore the critical life-events first author's journey learning and teaching mathematics that prompted thinking about his past experiences as a student teacher. It portrays paradigmatic shift from traditionalist thinker constructivist actor in classroom within out by using autoethnography writing research genre connecting personal social, cultural, teaching/lea...

conclusions fear of neighborhood violence is a contributing factor to increased risk of obesity for female african american youth who live in disadvantaged areas. this finding has implications for prevention of obesity among african american women who are at highest risk for obesity in the united states. initiatives that enhance neighborhood safety are critical strategies for obesity prevention...

This study presents an approach to quantify thermokarst lake change and lake object structure change in spatial very high resolution remote sensing data as part of ESAs "Data User Element Permafrost". Lake Center points are used and multi temporal data is radiometrically normalized using a water mean rationing. A set of specific lake object characteristics (object shape, direction, lake object ...

Automatic ground filtering for Light Detection And Ranging (LIDAR) data is a critical process for Digital Terrain Model (DTM) and three-dimensional urban model generation. Although researchers have developed many methods to separate bare ground from other urban features, the problem has not been fully solved due to the similar characteristics possessed by ground and non-ground objects, especial...

From multiple raster datasets to spatial association patterns, the data-mining technique is divided into three subtasks, i.e., raster dataset pretreatment, mining algorithm design, and spatial pattern exploration from the mining results. Comparison with the former two subtasks reveals that the latter remains unresolved. Confronted with the interrelated marine environmental parameters, we propos...

Coverage and frequency of remotely sensed forest structural information would benefit from single orbital platforms designed to collect sufficient data. We evaluated forest structural information content using single-date Hyperion hyperspectral imagery collected over full-canopy oak-hickory forests in the Ozark National Forest, Arkansas, USA. Hyperion spectral derivatives were used to develop m...

In supervised deep learning, learning good representations for remote-sensing images (RSI) relies on manual annotations. However, in the area of remote sensing, it is hard to obtain huge amounts labeled data. Recently, self-supervised shows its outstanding capability learn images, especially methods instance discrimination. Comparing discrimination, clustering-based not only view transformation...

background: as key determinants of many favorable health and quality of life outcomes, it is important to identify factors associated with mobility and social participation. although several investigations have been carried out on mobility, social participation and neighborhood environment, there is no clear integration of these results. this paper presents a scoping study protocol that aims to...