Salva+Alifa

Gravesen is average heigh, he has shaved hair with a big body. He is very unfriendly, he never smiles or has fun and he makes people feel sad. He is a football player and now he is studying to be a football trainer. Besides he is a good actor in his country. Gravesen loves violence. In the past, he injured a lot of footballers in his football career. Gravesen also likes riding a horse. He loves horse. He always has time to ride his horse. He has told me a lot of interesting stories about his horserides. In short, Gravesen is a very original person. He is a serious person but with his excentricities.
 * WRITTING**
 * DESCRIPTION OF A PERSON**

__**TASK 1. Choose the best option.**__

Scientists have discovered that addictions may be (1). A team from Britain’s University of Cambridge found that siblings of drug addicts (2) the same brain abnormalities as their drug-using brothers and sisters. The research team said these abnormal brain structures are linked (3) poor self-control and drug dependence. The researchers suggest that addiction is (4) some ways a “disorder of the brain”. This may provide important new ways into helping people with problems of self-control when it (5) to addictions. The study sought to find out if drugs changed the “wiring” of the brain or whether the brains of drug addicts were wired (6) from birth. Lead researcher Dr Karen Ersche told the BBC: “It has (7) been known that not everyone who takes drugs becomes addicted.” She continued: “It shows that drug addiction is not a choice of lifestyle, it is a disorder of the brain and we (8) to recognise this. These brothers and sisters who don't have addiction problems, what they can tell us is how they (9) these problems, how they manage self-control in their (10) life.” Dr Ersche and her colleagues studied 50 pairs of siblings — one with a history of drug addiction and one with no experience (11) taking drugs. She compared these with 50 healthy people. She concluded: “We need to find out how these non-addicted siblings were able to resist (12) drugs.”
 * Put the correct words from the table below in the above article.**
 * 1. || (a) || **hereditary** || (b) || herald || (c) || herded || (d) || heresy ||
 * 2. || (a) || compare || (b) || **share** || (c) || repair || (d) || fare ||
 * 3. || (a) || as || (b) || at || (c) || **to** || (d) || up ||
 * 4. || (a) || to || (b) || of || (c) || by || (d) || **in** ||
 * 5. || (a) || arrives || (b) || leaves || (c) || goes || (d) || **comes** ||
 * 6. || (a) || difference || (b) || differs || (c) || **differently** || (d) || different ||
 * 7. || (a) || **long** || (b) || deep || (c) || wide || (d) || tall ||
 * 8. || (a) || must || (b) || need || (c) || **should** || (d) || necessary ||
 * 9. || (a) || overjoy || (b) || overkill || (c) || **overcome** || (d) || overplay ||
 * 10. || (a) || **daily** || (b) || nightly || (c) || afternoon || (d) || morning ||
 * 11. || (a) || as || (b) || for || (c) || to || (d) || **of** ||
 * 12. || (a) || users || (b) || **using** || (c) || use of || (d) || uses ||

__**TASK 2. TRUE / FALSE**__


 * a. || Scientists say that many addictions may be hereditary. || T / **F** ||
 * b. || Drug addicts can have the same brain abnormalities as their siblings. || **T** / F ||
 * c. || Abnormal brain structures usually results in better self-control. || T / **F** ||
 * d. || The study may be able to help people control themselves better. || **T** / F ||
 * e. || Everyone who takes drugs becomes addicted in some way. || **T** / F ||
 * f. || A researcher said addiction is a brain disorder and not a choice. || T / **F** ||
 * g. || The researcher said one in fifty of us are drug addicts. || **T** / F ||
 * h. || The doctor knows why some siblings of drug addicts are not addicts. || T / **F** ||

__**TASK 3. SYNONYM MATCH.**__ Match the following synonyms from the article.


 * 1. || discovered || a. || 8. get over ||
 * 2 || siblings || b. || 4. give ||
 * 3. || linked || c. || 5. tried ||
 * 4. || provide || d. || 7. decision ||
 * 5. || sought || e. || 2. brothers and sisters ||
 * 6. || lead || f. || 10. stay away from ||
 * 7. || choice || g. || 1. found out ||
 * 8. || overcome || h. || 6. head ||
 * 9. || colleagues || i. || 3. connected ||
 * 10. || resist || j. || 9. co-workers ||

From Salva (salvaa_95@hotmail.com) To Jose (josecacer@hotmail.com)

Hi Jose How are you? I'm very happy because I'm going to get an Ipad 2. I have been saving some money and I will buy it next week.

I think you know the Ipad 2. It has a lot of interesting apps: games, good apps of news, sports ..., social networks and more things.

If you want you can come when i get it, we will have a good time. I will tell you when I have it. I'll be waiting for you!

Salva

MY WRITTEN ASSIGNMENTS

=__ COPY __ **THE FOLLOWING ACTIVITIES AND** __PASTE__ **THEM INTO YOUR PAGE BEFORE STARTING WORKING ON THEM.**= (5) __Early__ indications of the whereabouts of Osama Bin Laden before he was (6)__captured__ Researcher Kalev Leetar said the study could now help analysts (7) __spot__ future trouble in potential hotspots around the world. Business strategists already do a similar thing to (8) __advise__ their clients. ||  || __//captured//__ __//recent//__ __//sources//__ //advise////spot////input////data////early// || (15__) focused__ on one place. Leetar likened his predictions to weather forecasting, saying: “It’s never perfect, but we do better than (16) __random__ guessing." ||  || //emotions// //incredible// //k////ey// //random// //importance// //focused// //view// //track// || Good things bad things ||   ||   ||   ||
 * 1. GAP FILL:** Put the words into the gaps in the text.
 * Researchers say they can use news stories to help predict the future. Scientists from the University of Illinois in the USA (1) __input__ over 100 million news articles into a supercomputer for analysis. The stories went back as far as 1945 and came from many (2) __sources__, including the BBC and New York Times. The (3) __data__ showed how much unrest and discontent there was in Tunisia, Egypt and Libya before their (4) __recent__ revolutions. The computer also saw
 * Leetar explained the (9) __importance__ of news to look into the future: “News gives you (10) __incredible__ information about people, places, and organizations. It also tells you about the relationships between them, about how people (11) __view__ each other,” he said. Leetar used terabytes of data to look at three (12) __key__ areas. One looked at the tone of the journalists’ writing. It used 1,500 different (13) __emotions__ to build an assessment of a country’s stability. Secondly, it examined geocoding to (14) __track__ references to people’s movement. A third technique was network analysis to show how much news channels
 * ||  || © 2004-2011 by [|Sean Banville] ||
 * 2. Listen and check your answers. ||  ||   ||
 * **3. THE FUTURE:** What are your predictions? Complete this table and share what you wrote with your partner(s). Change and share again.
 * **3. THE FUTURE:** What are your predictions? Complete this table and share what you wrote with your partner(s). Change and share again.
 * This year for you i will be happy. ||  ||   ||
 * Your country will be very important ||  ||   ||
 * Sport will be very good for us ||  ||   ||
 * Inventions will be very important for the world ||  ||   ||
 * The world will get destroyed ||  ||   ||
 * Your old age will be quietly ||  ||   ||

4. Talk to your friend and complete the predictions.

By the year 2020 we will both have died. In ten years' time we will both be older. By this time next week I will have a car and my friend will buy a motorbike. This time tomorrow I will be doing the same and my friend will be doing the same.