December 31st, 2007The Seven Great Medical Myths

Reading in dim light won’t damage your eyes, you don’t need eight glasses of water a day to stay healthy and shaving your legs won’t make the hair grow back faster.

These well-worn theories are among seven medical myths exposed in a paper published last week in the British Medical Journal, which traditionally carries light-hearted features in its Christmas edition. Two U.S. researchers took seven common beliefs and searched the archives for evidence to support them.

Despite frequent mentions in the popular press of the need to drink eight glasses of water, they found no scientific basis for the claim.

The complete lack of evidence has been recorded in a study published the American Journal of Psychology, they said.

The other six myths are:

• Reading in dim light ruins your eyesight.

The majority of eye experts believe it is unlikely to do any permanent damage, but it may make you squint, blink more and have trouble focusing, the researchers said.

• Shaving makes hair grow back faster or coarser.

It has no effect on the thickness or rate of hair regrowth, studies say. But stubble lacks the finer taper of unshaven hair, giving the impression of coarseness.
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June 25th, 2007Vibration analysis

Vibration analysis is becoming more and more well-known as a prognostic maintenance procedure as well as a support for machinery maintenance judgment and decisions. Generally, machines don’t fail, malfunction, or break down without showing some symptoms or warning, which is often shown by an amplified level of vibration. To find out the nature and harshness of the machine flaw, and to therefore predict the failure of the machine or equipment, vibration measurement and analysis should be conducted.

A machine has an overall vibration signal that comes from the several components and structures infused into it. Mechanical problems, however, create distinctive vibrations at varying frequencies. And these defects as well as the natural frequencies of different structural elements can be diagnosed by analyzing the frequency and time range and employing signal processing skills.
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