The authors looked at how nanosilver particles may negatively impact the pond water environment. They used D. magna as an indicator species to look at the impact of different concentrations of nanosilver particles.
Read More...The effect of nanosilver particles on the lifespan of Daphnia magna in pond water
The authors looked at how nanosilver particles may negatively impact the pond water environment. They used D. magna as an indicator species to look at the impact of different concentrations of nanosilver particles.
Read More...Earthworms as soil quality indicators: A case study of Crissy Field and Bayview Hunters Point naval shipyard
The authors looked at soil quality of former military sites where chemical disposal was known to have occurred. Along with testing for heavy metals, the authors also looked for the presence (and number) of earthworms present in topsoil samples as a marker of soil health.
Read More...Behaviors and attitudes concerning disposable masks and the environment: A D.C. high school case study
The authors looked at student behaviors around disposal of face masks. The goal of the study was to bring awareness to improper mask disposal and how the resulting litter contributes to overall environmental pollution.
Read More...The juxtaposition of anatomy and physics in the eye
People are quick to accept the assumption that a light will appear dimmer the farther away they are, citing the inverse square relationship that illuminance obeys as rationale. However, repeated observations of light sources maintaining their brightness over large distances prompted us to explore how the brightness, or perceived illuminance of a light varies with the viewing distance from the object. We hypothesized that since both the illuminance of the light source and image size decrease at the same rate, then the concentration, or intensity of the image remains unchanged, and subsequently the perceived illuminance.
Read More...The effect of COVID-19 on the USA house market
COVID-19 has impacted the way many people go about their daily lives, but what are the main factors driving the changes in the housing market, particular house prices?
Read More...A potentially underestimated source of CO2 and other greenhouse gases in agriculture
Here the authors investigated the role of agricultural fertilizers as potential contributors to greenhouse gas emissions. In contrast to the typical investigations that consider microbiological processes, the authors considered purely chemical processes. Based on their results they found that as much as 20.41% of all CO2 emission from land-based activities could be a result of mineral nitrogen fertilizers.
Read More...Differences in the effect of copper sulfate on the mortality rate of Ostracod and Daphnia
Chemical pollution can have significant effects on freshwater organisms. In this study, the effect of copper sulfate on the survival of Daphnia pulex and Ostracoda was investigated.
Read More...The effects of stress on the bacterial community associated with the sea anemone Diadumene lineata
In healthy ecosystems, organisms interact in a relationship that helps maintain one another's existence. Stress can disrupt this interaction, compromising the survival of some of the members of such relationships. Here, the authors investigate the effect of stress on the interaction between anemones and their microbiome. Their study suggests that stress changes the composition of the surface microbiome of the anemone D. lineata, which is accompanied by an increase in mucus secretion. Future research into the composition of this stress-induced mucus might reveal useful antimicrobial properties.
Read More...Pollination Patterns by Green-Backed Firecrown Hummingbirds
The Green-backed Firecrown hummingbird is an essential pollinator in the temperate rainforests of southern South America. However, little is known about the ecology of these birds. Authors examined the foraging patterns of these birds identifying interesting differences in foraging patterns among season, age and sex.
Read More...Exploring the effects of diverse historical stock price data on the accuracy of stock price prediction models
Algorithmic trading has been increasingly used by Americans. In this work, we tested whether including the opening, closing, and highest prices in three supervised learning models affected their performance. Indeed, we found that including all three prices decreased the error of the prediction significantly.
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