The authors test whether basil can grow in a simulated Martian soil improved with a waste-based fertilizer called Milorganite.

In this article the authors look at the lung microbiome in patients with cystic fibrosis to determine what the major bacterial species present are.

In this study the authors looked the trajectories of cosmic rays moving through a dipole field. They found that the trajectories of cosmic rays are determined by a particle's energy and interaction with Earth's B field.

Commercial Concentrated Animal Feeding Operations (CAFOs) produce large quantities of waste material from the animals being housed in them. These feedlots found across the United States contain livestock that produce waste that results in hazardous runoff. This study examines how CAFOs affect water sources by testing for Escherichia Coli (E. coli) content in bodies of water near CAFOs.

Zebra mussels are an aquatic invasive species. They attach to essential industrial structures and harm the native ecosystem, costing millions of dollars each year to control. This study explored the effectiveness of two nontoxic materials (Sharklet & Netminder) in combating zebra mussel attachment.

The authors tested environmentally-friendly alternatives to wastewater treatment chemicals, including activated charcoal for filtration and citrus peels for preventing bacterial growth.

In this study, the impact of fluorination of heterocyclic drug Allopurinol on its stability and other chemical properties is investigated.

In this study, the authors survey students and adults about how the COVID-19 pandemic has impacted their sleep patterns, eating habits, mood, physical activity, and screen time.

This study investigates the feasibility of using long-range radio communication in a busy city environment in order to begin better understanding how the Internet of Things might be implemented into smart cities.

Plastic pollution in the ocean is a major global concern. Remotely Operated Vehicles (ROVs) have promise for removing debris from the ocean, but more research is needed to achieve full effectiveness of the ROV technology. Wahlig and Gonzales tackle this issue by developing a deep learning model to distinguish trash from the environment in ROV images.