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Could New Theory Answer What Causes Landslides On Mars?

Using Mars orbiter data, field observations and laboratory experiments, a team of researchers, including Peter Englert, professor in the University of Hawaiʻi at Mānoa School of Ocean and Earth Science and Technology (SOEST), developed a new theory about what is causing landslides on the surface of Mars.

Scientists Slow Aging by Engineering Longevity in Cells

Studying yeast cells, researchers build a biosynthetic genetic ‘clock’ to extend lifespan

Luminescent Windows Generate Energy from Inside and Out

Rice engineers develop polymer cores that redirect light from any source to solar cells

Collagen Structures Get the Royal Reveal

Rice lab’s SCEPTTr program predicts properties of essential connective proteins

Defective Epithelial Barriers Linked to Two Billion Chronic Diseases

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.

Study Could Explain Tuberculosis Bacteria Paradox

TB-causing bacteria remember prior stress, react quickly to new stress

Study Finds ChatGPT Outperforms Physicians in High-Quality, Empathetic Answers to Patient Questions

While AI won’t replace your doctor, the JAMA Internal Medicine paper suggests physicians working together with technologies like ChatGPT may revolutionize medicine

Chip Simplifies Covid-19 Testing, Delivers Results on a Phone

Programmed magnetic nanobeads enable diagnostic device designed at Rice University

Dexterous Robotic Hands Manipulate Thousands Of Objects With Ease

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.

Biomarker Detects Severe COVID-19 Early On

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.

Survey Finds Support for Cancer Warnings on Alcohol

Less than half of Americans understand that alcohol consumption increases cancer risk, and a majority of people surveyed say they would support warning labels and drinking guidelines to increase awareness.

Epilepsy Research Boosts Case for New Gene Therapy

Research from the School of Medicine suggests how a newly developed gene therapy can treat Dravet syndrome, a severe form of epilepsy, and potentially prolong survival for people with the condition.

Machine Learning Can Reduce Worry About Nanoparticles In Food

Researchers at Texas A&M can predict whether metallic nanoparticles in soil are likely to be absorbed by plants, which could cause toxicity.

From Micro To Macro

Insights on the formation of particle networks hold potential for engineering new and improved materials.

Blood Pressure Drugs May Cause Kidney Damage, Study Suggests

New kidney research from the School of Medicine is raising concerns that long-term use of drugs commonly prescribed to treat high-blood pressure and heart failure could be contributing to kidney damage.

Air Pollution May Increase Risk of Dementia, Complicated by Genetics

Study finds ambient air pollution associated with specific aspects of dementia, such as worse verbal fluency; having one version of a specific gene appears to boost and complicate the risk

Giving Robots Social Skills

A new machine-learning system helps robots understand and perform certain social interactions.

Stress and Mental Health Problems During First COVID-19 Lockdown

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.

Hunting A “Jekyll-And-Hyde” Molecule

A screening method developed by MIT researchers targets hydrogen peroxide in the search for new cancer therapeutics.

Toward Speech Recognition For Uncommon Spoken Languages

Reducing the complexity of a powerful machine-learning model may help level the playing field for automatic speech-recognition around the world.