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Pilot Study: Fibromyalgia Fatigue Improved By TENS Therapy

Fibromyalgia is the term for a poorly-understood condition where people experience pain and fatigue...

High Meat Consumption Linked To Lower Dementia Risk

Older people who eat large amounts of meat have a lower risk of dementia and cognitive decline...

Long Before The Inca Colonized Peru, Natives Had A Thriving Trade Network

A new DNA analysis reveals that long before the Incan Empire took over Peru, animals were...

Mesolithic People Had Meals With More Tradition Than You Thought

The common imagery of prehistoric people is either rooting through dirt for grubs and picking berries...

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The recent floods in Texas have caused some of the worst flooding since Hurricane Ike in 2008, causing the rainiest month in the state's history.

What lessons have been learned from Ike's devastation of the Galveston and Houston area, and how have they helped in the prediction of future such storms?

Researchers at the Institute for Computational Engineering and Sciences at the University of Texas at Austin have been studying computational models and simulations of hurricanes like Ike in order to predict the consequences of such natural disasters and better prepare the Texas Gulf Coast for their effects.

Bacteria and viruses have an obvious role in causing infectious diseases, but microbes have also been identified as the surprising cause of other illnesses, including cervical cancer (Human papilloma virus) and stomach ulcers (H. pylori bacteria).

A new study by University of Iowa microbiologists now suggests that bacteria may even be a cause of one of the most prevalent diseases of our time - Type 2 diabetes.

The research team led by Patrick Schlievert, PhD, professor and DEO of microbiology at the UI Carver College of Medicine, found that prolonged exposure to a toxin produced by Staphylococcus aureus (staph) bacteria causes rabbits to develop the hallmark symptoms of Type 2 diabetes, including insulin resistance, glucose intolerance, and systemic inflammation.

A long noncoding RNA (lncRNA), which might give an impact on tyrosine kinase-targeted leukemia therapy, was found to be expressed in a leukemia cell line.

The function of the lncRNA CCDC26 is not fully understood; however, researchers found the mechanisms by which CCDC26 controls the receptor tyrosine kinase KIT expression. Recent transcriptomic studies have revealed the existence of numerous RNAs that are relatively long but not translated into proteins. Some of such lncRNAs are suggested to regulate the expression of other genes. Mutations or imbalances in the noncoding RNA repertoire within the body can therefore cause a variety of diseases such as cancer. However, the molecular functions of lncRNAs remain to be fully elucidated.
If you lived on one of Pluto's moons, you might have a hard time determining when, or from which direction, the sun will rise each day. Two of Pluto's moons, Nix and Hydra, wobble unpredictably, according to a new data analysis.

Beginning readers who focus on letter-sound relationships, or phonics, instead of trying to learn whole words, increase activity in the area of their brains best wired for reading, according to new Stanford research investigating how the brain responds to different types of reading instruction.

In other words, to develop reading skills, teaching students to sound out "C-A-T" sparks more optimal brain circuitry than instructing them to memorize the word "cat." And, the study found, these teaching-induced differences show up even on future encounters with the word.

A team of biologists and a mathematician have identified and characterized a network composed of 94 proteins that work together to regulate fat storage in yeast.

"Removal of any one of the proteins results in an increase in cellular fat content, which is analogous to obesity," says study coauthor Bader Al-Anzi, a research scientist at Caltech. The findings, detailed in the May issue of the journal PLOS Computational Biology, suggest that yeast could serve as a valuable test organism for studying human obesity.