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Facebook Knows You Better than Family Members
   2015-01-13 19:46:14    CRIENGLISH.com      Web Editor: Guo
 

XINHUA

China to reduce HIV infections contracted via blood transfusions

A health official says China will ask the nation's blood stations to employ more accurate testing methods to detect viruses this year.

This follows reports that a girl contracted HIV through a blood transfusion.

The Nucleic Acid Test or NAT, a technique used to detect viruses or bacteria, can shorten the "window period" when viruses or bacteria go largely unnoticed by blood tests.

Using traditional testing methods, it takes about 20 days for HIV antigens to be detected after the virus enters the human body.

HIV-positive blood donors unaware of their status may pass the virus to others if donations happen during that 20-day window period, as the virus cannot be detected by tests.

The NAT can also be used to control risk for other blood-borne diseases, such as hepatitis.

CHINA DIALY

BFSU establishes Silk Road Research Institute

Beijing Foreign Studies University or BFSU has established a Silk Road Research Institute.
This aims to provide intellectual support to the country's strategic plan to better connect China and the rest of the world by land and sea.

The institute will build on the university's strengths to better serve the country's "economic belt along the Silk Road" and the "21st Century Maritime Silk Road".

President Xi Jinping said in a speech in Kazakhstan in 2013 that China and the Central Asian countries will build an "economic belt along the Silk Road" and the "21st Century Maritime Silk Road", aiming to connect China and the rest of the world.

A senior official says that the university has the advantages of language training and public diplomatic researches, which are very important to solve pragmatic problems in building the "One Belt and One Road".

THE TELEGRAPH

Facebook knows you better than members of your own family

A Cambridge University study has shown that computers can determine people's personality better than friends, just by analyzing the posts they have 'liked' on Facebook.

The researchers, by analyzing self-reported personality scores for the "big five" psychological traits, have created an algorithm which can accurately predict personalities simply based on Facebook interactions.

The team found that their software was able to predict a study participant's personality more accurately than a work colleague by analyzing just 10 'Likes'.

Inputting 70 'Likes' allowed it to obtain a truer picture of someone's character than a friend or room-mate, while 150 'Likes' outperformed a parent, sibling or partners. It took 300 'Likes' before the program was able to judge a character better than a spouse.

Likes are used by Facebook users to express positive association with online and offline objects, such as products, activities and sports, and represent one of the most generic kinds of digital footprint.

NEWSWEEK

Separation from iPhone can lead to anxiety

A new study conducted by University of Missouri has found separation from cell phones can have serious psychological and physiological effects on iPhone users, including poor performance on cognitive tests.

It is found that when users are unable to answer their ringing iPhones while solving simple word search puzzles, their heart rates and blood pressure levels increased, as did feelings of anxiety and unpleasantness.

Also, performance, or number of words found on word search puzzles, decreased as compared to when iPhone users completed similar word search puzzles while in possession of their iPhones.

Researchers suggest that iPhone users should avoid parting with their phones during daily situations that involve a great deal of attention as it could result in poorer cognitive performance on those tasks.

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