Nurses Make Fun of Disease, "Be Dead" is their Mantra! - Chinese Cartoon

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Taiwanese Nurses Taunt Dying Man: "Be Dead" is their Mantra http://whatgetsmehot.posterous.com/nu...
Nurses Make Fun of Disease in hospital bed for the elderly to take care of intubation, the face of intolerable itching due to scabies patients, she had the audacity bloodmobile shot Edge says with a laugh: "flow down, and you must be dead!" Will also be video posted net users broadside "Nursing shame" human flesh search launched to identify the identity of nurses. Nurses admit yesterday came forward, but was dismissed, the county may open a maximum fine of 30,000 yuan fine.
"Be dead is the mantra"
Nurses Make Fun of Disease - Chinese Cartoon
"Be Dead" Mantra

http://tw.nextmedia.com/applenews/art...

Trouble nurse Yu Sixuan (20-year-old), eight years experience in health care, the former Royal College of Nursing in the North County Chungho as nursing homes, three months before the secondment to the triple-Yau Man Hospital Respiratory Care Center. She recently left the ward to take care of elderly man named (80-year-old), the teasing the old man also ask my colleagues to help shoot man command to open the lens, the nurses also teasing, said: "beat people mad, not hit."
Later, Yu Sixuan the nine minute video uploaded to theBlog, This week to be friends posted, film has fueled resentment that nurses abuse patients, human flesh search engine users, found that nurses Yu Sixuan.
Yu Sixuan tearful apology yesterday, admitted that Internet postings should not be involved in privacy film, stressing that the result is about to leave, want to make movies on the blog pictures, interaction is usually the case, "be dead only a mantra." Although the man his wife, even behind the nurses, but the hospital stressed that excessive language film, the presence of medical personnel will be punished, I was fired.
Department of Health Care andHealthDirector Su-Wen Teng care, said yesterday, has asked the North County Health Department involved in the investigation will soon be released punishment. She said that some nursing staff misconduct, according to the "Nurses Act," leak patient privacy, be liable to a fine of from 6,000 to 30,000 yuan, the patient misconduct, may suspend a month to a year, the most important revocable license to practice.

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Nurses "Make Fun" chinese taiwan cartoonDisease Man dying dies dead mantra sick critical fired intubation atnext appledaily tw.nextmedia yt:quality=high mrjyn whatgetsmehot youweirtube limbsandthings1 limbsandthings

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Kaka was the goddess blew fat sister was bullying! | News | 20100407 | Next Apple Network

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Kaka goddess of confidence in her appearance, there is still a bullying of painful memories. (Data Center)

24-year-old "Funny Queen" Goddess Kaka (Lady Gaga) has words startle, but she blockbusters, his student days was a "fat sister", with a curly brown hair, made fun of by classmates as and the fun of the object. She said the music for her to overcome low self-esteem, build self-confidence. She was a great difference between their past and present, feel very proud, she said: "There are still students will say, I usually as death, a power to live up!"

Variety of the goddess shape Kaka blew himself was studying in private schools in New York woman, who is a "fat girls", also by the students of bullying, she said: "I very nose, a curly brown hair, put on weight too heavy as we make fun of make fun of the object. "She was proud that she is now established that bullying of her classmates makes mistakes it! She jokes:, "My students have also jokes that I usually like dead men. On stage was alive again!"

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Kaka was the goddess blew fat sister was bullying!
from Apple Daily Facebook Links Check if Broken by 蘋果日報
Kaka was the goddess blew fat sister was bullying!
Source: tw.nextmedia.com
Goddess Kaka (Lady Gaga) has words startle, but she blockbusters, his student, Age was a "fat sister", with one curly brown hair, made fun of by classmates as And the fun of the objects.
Kaka was the goddess blew fat sister was bullying!

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Traci Lords fallen

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Traci Lords fallen Jim paline hung thonger morrison theme panik shakira reactar frostbite briana california up penthouse sabaton dita angelina brian and jamie breakorkestra pack presentadorasilverstedt volvo tu lordst how rattlessnake ŏá extremo again and nothing walker agilent up 涼風 liga theme sondra agilent andress control macizas bruer california direct teese grafenberg. 

lords scary amazon sienna preachers ranger manic monica missy madness twain dale workout kings playmate morrison brett dearest jackass ginger puppy pros syndrome chick tits skeet kathleen pumps trailer movie layer cake gregg grape taboo frostbite cobra karen jeff anna canyon tiger judiciary walker fires sorted genesis madonna angelina velvet jessica athletic reactor mortal elizabeth allen brian warrior satin louise sway carey lynn anderson hungry summers kissing turner fights noel nebraska daddy annihilation digital robe stevens loads mask warriors banks relevance angel hough guns skinny julie songs blade interview theme airplane ride linda paul bloom trailers testament spot toilet michael richardson control beverly bored chuck lightning retreat rage fallen smith baby harry california strings texas montgomery chapman yuri waters fury arrest strikes rush crash roses skirt teacher heels giant pack theresa bobbie charm star fred sarah rose threat queen lunch division ones roads lord friends susan sister dark walter rachel promise jess grant suicide hills tray david street animals professor minor repeated beach sleep hung gain vote rock richard fast term wish ever

POTENTIAL KEYWORDS IN Untitled (6972 words)

Keywords are the words in your text that are far more frequent, proportionally, than they are in a general reference corpus (here, the Brown corpus, whose 1 million words comprise 500 texts of 2000 words on a broad range of topics - see Brown freqs).The number accompanying each word represents the number of times more frequent the word is in your text than it is in the Brown corpus. For example, the first item in the output 16351.00 lords is calculated on the basic that lords has 3 natural occurrences in the Brown's 1 million words, but 342 occurrences in your 6972-word text. These 342 occurrences are proportionally a lot more than the 3 occurrences in the Brown. Taken as a proportion of 1,000,000 words, these 342 occurrences represent 342/6972 x 1,000,000 = 49053 virtual occurrences. These 49053 occurrences are 16351.00 times more numerous than the 3 occurrences in Brown. The keyword list below contains all the words in your text that are at least 10 times more numerous in your text than in the Brown reference corpus (the "keyness factor."). The greater the keyness factor, the more 'key' a word is likely to be to your input text. Words eliminated from analysis by user: none. Notes: 1. Small texts may provide unreliable comparisons.    2. Words less than 2 occurrences are ignored.    3. Routine does not currently handle either word families or multiword units, nor calculate statistics of keyness (Nation argues that a keyness factor less than 50 is uninteresting)     3. Paste raw (numberless, unsorted) output to other routines for comparison or alternative takes on output (Freq, VP, Tex_Lex_Compare)

(1) 16351.00 lords (2) 1864.50 scary (3) 1864.50 amazon (4) 1864.50 sienna (5) 1864.50 preachers (6) 1864.50 ranger (7) 1721.00 manic (8) 1721.00 monica (9) 1004.00 missy (10) 1004.00 madness (11) 1004.00 twain (12) 745.80 dale (13) 621.50 workout (14) 621.50 kings (15) 573.50 playmate (16) 502.00 morrison (17) 502.00 brett (18) 430.50 dearest (19) 430.50 jackass (20) 430.50 ginger (21) 430.50 puppy (22) 430.50 pros (23) 430.50 syndrome (24) 430.50 chick (25) 430.50 tits (26) 430.50 skeet (27) 430.50 kathleen (28) 401.60 pumps (29) 339.00 trailer (30) 336.31 movie (31) 310.75 layer (32) 310.75 cake (33) 287.00 gregg (34) 287.00 grape (35) 287.00 taboo (36) 287.00 frostbite (37) 287.00 cobra (38) 287.00 karen (39) 287.00 jeff (40) 286.86 anna (41) 262.92 canyon (42) 251.00 tiger (43) 239.00 judiciary (44) 219.35 walker (45) 219.35 fires (46) 215.25 sorted (47) 215.25 genesis (48) 215.25 madonna (49) 215.25 angelina (50) 215.25 velvet (51) 210.33 jessica (52) 207.17 athletic (53) 204.86 reactor (54) 200.80 mortal (55) 191.27 elizabeth (56) 177.57 allen (57) 172.20 brian (58) 172.20 warrior (59) 172.20 satin (60) 172.20 louise (61) 172.20 sway (62) 172.20 carey (63) 172.20 lynn (64) 168.76 anderson (65) 162.13 hungry (66) 161.38 summers (67) 143.50 kissing (68) 143.50 turner (69) 143.50 fights (70) 143.50 noel (71) 143.50 nebraska (72) 143.50 daddy (73) 143.50 annihilation (74) 143.50 digital (75) 143.50 robe (76) 143.44 stevens (77) 143.40 loads (78) 127.44 mask (79) 123.00 warriors (80) 116.30 banks (81) 114.70 relevance (82) 109.29 angel (83) 107.63 hough (84) 97.95 guns (85) 95.67 skinny (86) 95.67 julie (87) 89.03 songs (88) 88.23 blade (89) 80.69 interview (90) 78.75 theme (91) 78.27 airplane (92) 77.69 ride (93) 76.49 linda (94) 73.56 paul (95) 71.75 bloom (96) 71.75 trailers (97) 69.24 testament (98) 66.59 spot (99) 66.23 toilet (100) 66.23 michael (101) 66.23 richardson (102) 64.90 control (103) 61.50 beverly (104) 61.50 bored (105) 61.50 chuck (106) 61.50 lightning (107) 61.50 retreat (108) 61.50 rage (109) 59.06 fallen (110) 58.34 smith (111) 56.50 baby (112) 55.78 harry (113) 54.84 california (114) 53.81 strings (115) 51.79 texas (116) 47.83 montgomery (117) 47.83 chapman (118) 47.83 yuri (119) 47.81 waters (120) 45.32 fury (121) 45.32 arrest (122) 45.32 strikes (123) 43.05 rush (124) 43.05 crash (125) 41.00 roses (126) 41.00 skirt (127) 38.48 teacher (128) 37.43 heels (129) 37.43 giant (130) 35.88 pack (131) 35.88 theresa (132) 35.88 bobbie (133) 33.12 charm (134) 30.75 star (135) 29.69 fred (136) 29.69 sarah (137) 27.39 rose (138) 27.31 threat (139) 27.31 queen (140) 26.91 lunch (141) 26.32 division (142) 24.95 ones (143) 24.72 roads (144) 24.59 lord (145) 22.88 friends (146) 22.66 susan (147) 22.08 sister (148) 21.83 dark (149) 20.50 walter (150) 19.57 rachel (151) 19.57 promise (152) 18.32 jess (153) 18.32 grant (154) 17.94 suicide (155) 17.22 hills (156) 15.94 tray (157) 15.94 david (158) 15.28 street (159) 14.84 animals (160) 14.84 professor (161) 14.84 minor (162) 14.59 repeated (163) 14.35 beach (164) 13.45 sleep (165) 13.25 hung (166) 11.64 gain (167) 11.48 vote (168) 11.33 rock (169) 11.33 richard (170) 11.18 fast (171) 10.90 term (172) 10.52 wish (173) 10.01 ever

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Originally uploaded by hermanhuex

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