| Learning English Describing a person Author: | sanya | Copyright: | Can use | Corrector’s skills: | Native‚ Perfect | Tags: | Describing a person | Language: | English | Progress: | processing: 0‚ ready corrections: 1‚ remains corrections: 0 | He is thirty five. He resides in a small apartment in the south of California. He has dark short hair‚ dark thick eyebrows and deep-set brown eyes with short straight lashes. He has a middle-sized nose‚ which is a bit hooked. He has a wide
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DESCRIBING PEOPLE’S APPEARANCE: She’s not very tall‚ with dark hair and blue eyes IL DESCRIBING PEOPLE’S APPEARANCE Body She’s of medium height. She’s a woman of average height. She’s quite tall. She’s a woman of average height. She’s a woman of below average height. She’s not very tall. (→ She’s short.) He’s slim. He’s of medium build. He’s well-built. He’s rather plump (=not slim). He’s broad-shouldered. He’s quite muscular. He’s a bit overweight. (→
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Describing Sensor Performance: When describing sensors and instrumentation systems we make use of a range of terms to quantify their characteristics and performance. It is important to have a clear understanding of this terminology‚ so we will look briefly at some of the more important terms. • Range: This defines the maximum and minimum values of the quantity that the sensor or instrument is designed to measure. • Resolution or discrimination: This is the smallest discernible change
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“The ultimate measure of a man is not where he stands in moments of comfort and convenience‚ but where he stands at a time of challenge and controversy.” The death of a loved one is a time of challenge for most individuals. How many people did you know die from cancer or a drunk driving accident‚ which mourning process is worse? Drunk driving mourning is worse‚ cancer can be avoided as to drunk driving accidents‚ due to the fact that cancer is natural and isn’t a choice‚ drunk driving is an option. You
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Michael Pillowcase Rachel Wallows English 102 October 29‚ 2011 Stricter DUI Laws and the Effect They Could Have At some point in our lives we have heard a news report that involved a drunk driver and an innocent victim. Usually these incidents are accidents where a person driving under the influence runs a red light or jumps a curb‚ hitting‚ and more often than not‚ killing an innocent person. These injuries and deaths are all easily preventable. In the United States‚ over 20% of all
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Drunk drivers who cause accidents with fatalities should be charged with murder.Nowadays‚ driving while intoxicated has become the deadliest crime. There were more than 11‚000 alcohol-impaired deaths in 2009‚ sadly those deaths were preventable if the government had more severe laws against this issue. Drivers are well aware of the laws and consequences against drunk driving‚ especially after destroying families due to their carelessness decision. Victims’ families entire life is ruined because of
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University of Phoenix HCR/220 Describing CPT Coding Categories Check Point BreAwna Ingram June 21‚ 2012 Describing CPT Coding Categories The CPT codes have three categories‚ starting with Category I‚ then Category II‚ and Category III. There are key words associated with these three code categories which include “common‚” “optional‚” and “temporary‚” these key words help to make the coding process easier for employees to understand. Common codes are referred to when using Category I
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Abstract Cause: Driving drunk Effect One: Penalties Jail time Losing your job Missing your family’s time Effect Two: Personal injury The finical cost one self The cost to the state for those uninsured The cost to your family Effect Three: Cost of life Killing your self Killing incident bystanders Causing injury’s that are irreversible Annotated Bibliography Fancher‚ R. (2003). Drinking & DRIVING. Scholastic Choices‚ 19(1)‚ 6. Retrived from
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convince communities that there is a deeper threat. They also enforce legislative rules that are applied to people who misbehave; such rules provide enforcers (police‚ security personnel). One good example of moral entrepreneurship is Mothers Against Drunk Driving (MADD) founded by Candice Lightner in 1980. It is a non-profit
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Chapter 3 Describing Data Visually 3.1 [pic] Approximately symmetric‚ but can be viewed as skewed to the left. 3.2 [pic] Range 91 to 204 with some clustering near 130; distribution appears very slightly skewed right. 3.3 Sarah’s Calls: [pic] Bob’s Calls: [pic] Sarah’s makes more calls than Bob and her calls are shorter in duration. 3.4 a. 7 bins of 20 [pic] b. Answers will vary. Too few bins (less than five)
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