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In this article, the authors quantify fluctuations of primary proteins found within bovine milk across four stages of lactation. Critically, these findings bear great relevance to the nutritional support of calves as well as the varying severity of symptoms of lactose intolerance.

In this report, Bhardwaj and Sharma tested whether placing specific plants indoors can reduce levels of indoor air pollution that can lead to lung-related illnesses. Using machine learning, they show that plants improved overall indoor air quality and reduced levels of particulate matter. They suggest that plant-based interventions coupled with sensors may be a useful long-term solution to reducing and maintaining indoor air pollution.

The authors investigate whether Western Bluebirds and other perching birds consume eggshells, as a source of calcium, at a greater rate before reproduction and during nest building when they are unable to store calcium.

The diagnosis of malaria remains one of the major hurdles to eradicating the disease, especially among poorer populations. Here, the authors use machine learning to improve the accuracy of deep learning algorithms that automate the diagnosis of malaria using images of blood smears from patients, which could make diagnosis easier and faster for many.

In this work the authors investigate new possible treatment methods for gastric and bladder cancers. They specifically targeted the transient receptor potential cation subfamily M member 7 (TRPM7), an ion channel that plays an important role in the survival of both of these cancers, and extracellular regulated kinases (ERKs),which contributes to the carcinogenesis of many cancers including gastric cancer. As a result, the authors consider the effects of Ginsenoside Rd, NS8593, curcumin, and icariin , known to inhibit TRPM7 and ERK. The authors found that these treatments decrease proliferation and induce apoptosis in studies of gastric and bladder cancer cells.

In this study, the authors investigate the effects of the COVID-19 pandemic on South Korean international school students' anxiety, well being and their learning habits.

Cosmic rays are high-energy astronomical particles originating from various sources across the universe. Here, The authors sought to understand how surface-level cosmic-ray muon flux is affected by atmospheric attenuation by measuring the variation in relative muon-flux rate relative to zenith angle, testing the hypothesis that muons follow an exponential attenuation model. The attenuation model predicts an attenuation length of 6.3 km. This result implies that only a maximum of 24% of muons can reach the Earth’s surface, due to both decay and atmospheric interactions.

The Aromanian language and culture is quickly declining towards extinction. In this new research article, Ganea and Lascu provide evidence that, although the use of the Aromanian language is less prevalent among younger individuals, participants overwhelming support the preservation of Aromanian language and culture.

As the world moves towards more eco-friendly methods for chemical synthesis, there's a strong interest in employing enzymes in chemical synthetic processes. Here, the authors explore how the activity of enzymes such as trypsin, lipase and nattokinase is affected by the electronic effects of the substrate they are acting on.

In this study, the authors investigate the effect of remote learning (due to the COVID-19 pandemic) on sleeping habits amongst teenagers in Ohio. Using survey results, sleep habits and attitudes toward school were assessed before and after the COVID-19 pandemic.