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Domestic waste classification using convolutional neural network

In this study, the authors investigate whether Moringa Oleifera seeds can serve as material to aid in purifying water. M. oleifera seeds have coagulating properties and the authors hypothesized that including it in a water filtration system would reduce particles, specifically bacteria, in water. Their results show that this system removed the largest percent of bacteria. When used in combination with cilantro, it was actually more efficient than the other techniques! These findings have important implications for creating better and more economical water purification systems.

This study tested whether calcite, a safe and naturally occurring mineral, can block ultraviolet (UV) radiation when used in solar geoengineering. Students launched a high‑altitude balloon carrying UV sensors and calcite‑coated sheets to measure how much UV light passed through different calcite concentrations. Their results showed that calcite significantly reduces UV transmission, suggesting it may be a promising material for future stratospheric aerosol injection to help mitigate climate change.

This study tested the impact over several days of air-water gas exchange on pH recovery in acidified Long Island Sound water treated with chemical, mineral, and biological buffers.

This study compared two commercial shower filters and three individual filtration media to evaluate their ability to reduce total residual chlorine under household flow conditions. By identifying which materials most effectively reduce chlorine during regular shower use, this research provides practical information for consumers and offers guidance for designing more affordable and reusable shower filtration systems.

Multi-perspective drone imagery (adding oblique views to top-down shots) raised crop classification accuracy from 35.73% to 52.93% across five species. The improvement scaled with canopy complexity, from +4.2% for simple rice to +38.1% for structurally complex sugarcane.

The authors monitored water quality over time looking for influences from construction and deforestation.

When granular materials are poured onto a surface, they form conical piles whose slopes increase before reaching a stable angle of repose. We found that this angle evolution follows a previously unrecognized two-phase exponential growth pattern that is conserved across granular materials with diverse particle properties. The parameters of this model correlate with particle friction and are influenced by deposition conditions, providing a quantitative framework for describing pile formation.

Tax incentives for sustainable technology are a key part of the push for a greener future. However, these incentives may not reach all income strata equally. Using a machine learning approach, this study analyzed the distributional effects of residential energy tax credits across different income levels in the United States.

The authors investigated adoption rates of solar photovoltaic power at K-12 schools in California.