Just as beneficial microbes in the human gut can be affected by antibiotics, diet interventions and other disturbances, the microbiomes of other animals can also be upset.
For many Native Hawaiians and other Pacific Islanders with chronic health conditions, health interventions should include their family members or close friends, according to University of Hawaiʻi at Mānoa public health research.
Texas A&M researchers are determining whether robots can be programmed to take over in manufacturing settings when human workers become fatigued.
A new method forces a machine learning model to focus on more data when learning a task, which leads to more reliable predictions.
Ultrastable and made of inexpensive, nontoxic elements, chalcogenide perovskites could find applications in solar cells, lighting, and more.
Researchers from Texas A&M and the Virginia Institute of Marine Sciences discovered that sea levels are rising at rates that are close to a tipping point for widespread marsh drowning.
Bauer Dean Offers Solutions to Improve Job Status of At-Risk Populations
Reducing the complexity of a powerful machine-learning model may help level the playing field for automatic speech-recognition around the world.
A screening method developed by MIT researchers targets hydrogen peroxide in the search for new cancer therapeutics.
One-third of children and adolescents experienced mental health problems during the first COVID-19 lockdown in Switzerland. Parents and young adults also perceived considerable stress, yet the perceived stresses differed from those of children and adolescents, the first Switzerland-wide representative study by the University of Zurich and La Source School of Nursing Lausanne has shown.
A new machine-learning system helps robots understand and perform certain social interactions.
Insights on the formation of particle networks hold potential for engineering new and improved materials.
Researchers at Texas A&M can predict whether metallic nanoparticles in soil are likely to be absorbed by plants, which could cause toxicity.
Severe cases of COVID-19 can now be detected at an early stage. Researchers at the University of Zurich have identified the first biomarker that can reliably predict which patients will develop severe symptoms. This can help to improve the treatment of severe cases of COVID-19.
Model-free framework reorients over 2,000 diverse objects with a hand facing both upward and downward, in a step toward more human-like manipulation.
TB-causing bacteria remember prior stress, react quickly to new stress
Humans are exposed to a variety of toxins and chemicals every day. According to the epithelial barrier hypothesis, exposure to many of these substances damages the epithelium, the thin layer of cells that covers the surface of our skin, lungs and intestine. Defective epithelial barriers have been linked to a rise in almost two billion allergic, autoimmune, neurodegenerative and psychiatric diseases.
Rice lab’s SCEPTTr program predicts properties of essential connective proteins
Rice engineers develop polymer cores that redirect light from any source to solar cells
Studying yeast cells, researchers build a biosynthetic genetic ‘clock’ to extend lifespan