Instruction:
Text: Wisconsin also had scattered school closings .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:

{"geographical social political": ["Wisconsin"], "organization": ["school"]}


Instruction:
Text: A line of mixed precipitation trailed southward from the storm system , spreading scattered show showers and freezing rain into western sections of Kentucky and Tennessee .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:

{"geographical social political": ["Kentucky", "Tennessee"], "location": ["western sections of Kentucky and Tennessee"]}


Instruction:
Text: Farther south , scattered rain showers extended across Arkansas , Mississippi , and Louisiana and into eastern Texas .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:

{"geographical social political": ["Louisiana", "Arkansas", "Mississippi"], "location": ["eastern Texas"]}


Instruction:
Text: Those showers were expected to move eastward into Alabama , Georgia , and northwestern Florida during the night .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:

{"geographical social political": ["Georgia", "Alabama"], "location": ["northwestern Florida"]}


Instruction:
Text: Farther west , isolated snow showers were scattered over parts of Wyoming , western South Dakota , eastern Colorado , and western sections of Nebraska and Kansas .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:

{"geographical social political": ["Kansas", "Nebraska", "Wyoming"], "location": ["western sections of Nebraska and Kansas", "eastern Colorado", "western South Dakota", "parts of Wyoming , western South Dakota , eastern Colorado"]}


Instruction:
Text: In the Northeast , a few light snow showers were scattered from Pennsylvania across upstate New York into northern New England .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:

{"geographical social political": ["Pennsylvania"], "location": ["upstate New York", "northern New England", "the Northeast"]}


Instruction:
Text: Elsewhere , fog formed in some western parts of Washington , and showers were expected to move into the region from the Pacific .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:

{"geographical social political": ["Washington"], "location": ["the region", "the Pacific", "some western parts of Washington"]}


Instruction:
Text: Monday ' s temperatures around the Lower 48 ranged from a morning low of 11 below zero at Phillips , Wis . , to midday readings of 77 at Oceanside , Calif . , and Brownsville , Texas .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:

{"geographical social political": ["Brownsville , Texas", "Oceanside , Calif", "Wis .", "Calif", "Texas", "Phillips , Wis ."]}


Instruction:
Text: The lowest wind chill was 58 below at Jamestown , N . D .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:

{"geographical social political": ["N . D", "Jamestown , N . D"]}


Instruction:
Text: National Weather Service : http : / / iwin . nws . noaa . gov / iwin / graphicsversion / bigmain . html
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:

{"organization": ["National Weather Service"]}


Instruction:
Text: Intellicast : http : / / www . intellicast . com
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:


Instruction:
Text: Weather Channel : http : / / www . weather . com
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:


Instruction:
Text: JAKARTA , Indonesia ( AP ) _ The U . S . ambassador sharply criticizes Indonesia ' s reform efforts .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:

{"geographical social political": ["Indonesia", "U . S", "JAKARTA , Indonesia"], "organization": ["AP"], "person": ["The U . S . ambassador"]}


Instruction:
Text: Indonesian leaders criticize him right back , calling him an interfering bully .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:

{"geographical social political": ["Indonesian"], "person": ["an interfering bully", "Indonesian leaders", "him"]}


Instruction:
Text: Angry Indonesians search hotels for Americans .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:

{"person": ["Americans", "Angry Indonesians"], "facility": ["hotels"]}


Instruction:
Text: The U . S . Embassy closes its doors to the public .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:

{"geographical social political": ["U . S"], "organization": ["The U . S . Embassy", "its"], "person": ["the public"]}


Instruction:
Text: Relations between the United States and this sprawling southeast Asian nation have soured in recent months , poisoned in part by bitter exchanges between the U . S . ambassador and local officials .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {geographical social political/organization/person/location/facility/vehicle/weapon：[entities]}.
Answer:

{"geographical social political": ["U . S", "the United States", "this sprawling southeast Asian nation"], "person": ["local officials", "the U . S . ambassador"], "location": ["southeast Asian"]}


Instruction:
Text: Both the AMA and the Bush administration released reports this week saying out of control trial lawyers are driving doctors out of their practices all across the country .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"geographical social political": ["the country"], "organization": ["the AMA", "the Bush administration"], "person": ["out of control trial lawyers", "Bush", "doctors", "their"]}


Instruction:
Text: President Bush points this way today , even the most frivolous of lawsuits cost money , premiums go up and either way , the patient pays .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"person": ["President Bush", "the patient", "President"]}


Instruction:
Text: We ' re debating malpractice reform with consumer advocate Ralph Nader , and AMA President - Elect Dr . Ronald Palmisano .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["AMA"], "person": ["consumer", "consumer advocate Ralph Nader", "Dr", "AMA President - Elect", "AMA President - Elect Dr . Ronald Palmisano", "We", "consumer advocate"]}


Instruction:
Text: BEGALA Dr . Palmisano , again , thanks for staying with us through the break .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"person": ["us", "Dr . Palmisano", "Dr"]}


Instruction:
Text: Let me set aside the hypocrisy of a man who became president because of a lawsuit trying to eliminate everybody else ' s lawsuits , but instead focus on his own experience .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"person": ["a man who became president because of a lawsuit", "everybody else", "president", "his own", "who", "me"]}


Instruction:
Text: He was the governor of my state of Texas , where there are a whole lot of doctors .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"geographical social political": ["Texas", "where", "my state of Texas , where there are a whole lot of doctors"], "person": ["my", "a whole lot of doctors", "He", "the governor of my state of Texas , where there are a whole lot of doctors"]}


Instruction:
Text: It turns out that he didn ' t do any kind of a job policing your profession at all when he was the governor of Texas .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"geographical social political": ["Texas"], "person": ["the governor of Texas", "he", "your"]}


Instruction:
Text: Here ' s what the " Dallas Morning News " reported recently : " The Texas State Board of Medical Examiners , the agency that pledges to protect the public has granted second and third chances to surgeons who are thrown out of hospitals because they botched operations .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["hospitals", "the \" Dallas Morning News", "the agency that pledges to protect the public", "The Texas State Board of Medical Examiners", "that"], "person": ["the public", "who", "surgeons who are thrown out of hospitals because they botched operations", "they"]}


Instruction:
Text: It has forgiven physicians who overlook cancerous tumors , who maimed infants or whose mistakes left women sterilized .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["It"], "person": ["physicians who overlook cancerous tumors , who maimed infants or whose mistakes left women sterilized", "infants", "women", "who", "whose"]}


Instruction:
Text: It has refused in the last five years to revoke the license of a single doctor for committing medical errors .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["It"], "person": ["a single doctor"]}


Instruction:
Text: Thousands more may have been ignored over the last decade . " That is the Bush record in policing surgeons , why should we trust him now ?
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"person": ["surgeons", "Bush", "him", "we"]}


Instruction:
Text: BEGALA Physicians generally , not just surgeons , forgive me .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"person": ["me", "surgeons", "Physicians"]}


Instruction:
Text: What we need to do is to make sure that state boards , number one , have adequate funding .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"geographical social political": ["state"], "organization": ["state boards"], "person": ["we"]}


Instruction:
Text: The AMA supports that .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: If there are any bad doctors we want them removed from the practice of medicine .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["we"], "person": ["them", "any bad doctors"]}


Instruction:
Text: BEGALA . . . bad doctors ?
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: Because someone pays money in a case , the insurance company may pay money because they ' re afraid there ' s is going to be a giant award in this case because of this broken liability system .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["the insurance company", "they"], "person": ["someone"]}


Instruction:
Text: Troy Brennan ( ph ) of Harvard said there ' s no correlation with negligence , only with disability .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["Harvard"], "person": ["Troy Brennan ( ph ) of Harvard"]}


Instruction:
Text: So let ' s look at all of the facts , but give everybody due process here in America before we criticize .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"geographical social political": ["here in America", "America"], "person": ["everybody", "s", "we"]}


Instruction:
Text: NADER Actually , Troy Brennan , the same doctor at Harvard Public School of Health said the issue is not to fuel lawsuits , it ' s too many .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["Harvard", "Harvard Public School of Health"], "person": ["Troy Brennan", "the same doctor at Harvard Public School of Health"]}


Instruction:
Text: Less than 10 percent of the victims of medical malpractice , and we ' re talking about horrific injuries here , even file a claim .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"person": ["Less than 10 percent of the victims of medical malpractice", "the victims of medical malpractice", "we"]}


Instruction:
Text: And the entire pay - out to all of the victims that get a little money , not the 90 percent who never file a claim , amounts to less than what we spend on dog food .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"person": ["all of the victims that get a little money", "the 90 percent who never file a claim", "who", "we", "the victims that get a little money", "that"]}


Instruction:
Text: That ' s a fraction of physician income .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: PALMISANO What we have to do is look at all the facts and have balance here .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: That ' s what the people in Congress have to do .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["Congress"], "person": ["the people in Congress"]}


Instruction:
Text: They have to make sure that whatever they decide keeps doctors in practice and patients having access to care .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"person": ["patients", "they", "They", "doctors"]}


Instruction:
Text: NADER Doctors are going . . .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: PALMISANO But let me - but let me - wait . . .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: NADER Doctors are leaving practice because of insurance premium , right ?
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: They don ' t abandon their patients , except for the high premiums of a few specialties ?
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"person": ["their patients", "They", "their"]}


Instruction:
Text: But first of all let me . . .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: NADER Why don ' t you crack down on the insurance companies ?
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["the insurance companies"], "person": ["you"]}


Instruction:
Text: Let ' s talk about the facts .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: Let ' s talk about the facts .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: PALMISANO ( UNINTELLIGIBLE ) percent of the doctors are insured by physician - owned insurance companies , the medical side .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["physician - owned insurance companies"], "person": ["physician", "percent of the doctors", "the doctors"]}


Instruction:
Text: I was just in Oklahoma , they own this insurance company .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"geographical social political": ["Oklahoma", "they"], "organization": ["this insurance company"], "person": ["I"]}


Instruction:
Text: They are trying to do their very best .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"geographical social political": ["They", "their"]}


Instruction:
Text: It ' s a company not for profit .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["a company not for profit", "It"]}


Instruction:
Text: And as far as the investment income , A . M . Bests ( ph ) show that in the past five years , the investment income has been stable at around 5 percent .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: Brown Brothers Harriman said that investments did not precipitate the current crisis .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["Brown Brothers Harriman"]}


Instruction:
Text: Why do you want that to be secret ?
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: All of the information about bad doctors in the National Practitioner bank , you , the AMA wants to keep it secret from other doctors and other patients around the country who want to know whether their doctor is on that list .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"geographical social political": ["the country"], "organization": ["the AMA"], "person": ["other doctors", "other patients around the country who want to know whether their doctor is on that list", "their", "who", "bad doctors", "their doctor", "you"]}


Instruction:
Text: NOVAK Well , let ' s look at what the president is actually proposing for people who have been harmed by a bad doctor .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"person": ["a bad doctor", "people who have been harmed by a bad doctor", "s", "the president", "who"]}


Instruction:
Text: Let ' s listen to what he said to the AMA today .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["the AMA"], "person": ["s", "he"]}


Instruction:
Text: BUSH If harmed by a doc , they ought to be able to recover their economic costs , economic losses .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: They should be able to recover non - economic damages as well .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: NOVAK What in the world is wrong with that ?
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: Tell me what ' s wrong with that ?
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: Tell someone who had a double mastectomy , tell an infant who ' s brain - damaged and has no economic loss that for the rest of their lives they ' re going to get dribbled out $ 250 , 000 for their entire life expectancy ?
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"person": ["an infant who ' s brain - damaged and has no economic loss", "their", "who", "they", "someone who had a double mastectomy"]}


Instruction:
Text: The head of AIG a few years ago was making $ 250 , 000 every week .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["AIG"], "person": ["The head of AIG"]}


Instruction:
Text: Not for you , but for most people it ' s a lot of money .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: NADER These executives , why don ' t you tell . . .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: PALMISANO In California - wait , Mr . Nader .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"geographical social political": ["California"], "person": ["Mr . Nader", "Mr"]}


Instruction:
Text: In California . . .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"geographical social political": ["California"]}


Instruction:
Text: NADER Why don ' t you cap insurance . . .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: BEGALA Mr . Palmisano , go ahead .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: PALMISANO Give me a moment , please .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: PALMISANO In California where they have this law , it caps the non - economics , the ones you can ' t quantify .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"geographical social political": ["where", "California where they have this law", "they"], "person": ["you"]}


Instruction:
Text: There are awards in 10 million , 20 million , $ 30 million in California for economic .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"geographical social political": ["California"]}


Instruction:
Text: I ' ve got to ask Mr . Nader , we are almost out of time .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: Doug Friedman ( ph ) , who ran Jesse Ventura ' s campaign for governor four years ago , says he wants you to run for president again .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"person": ["Jesse Ventura", "who", "he", "Doug Friedman ( ph ) , who ran Jesse Ventura ' s campaign for governor four years ago", "you"]}


Instruction:
Text: I know you ' re saying it ' s much too early to run for president .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: But one simple question , Ralph , will you consider another run for president ?
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: I am concerned about Donald Zook ( ph ) , who ' s head of a medical malpractice insurance company , a big one in the West , saying that his insurance company executive colleagues should not blame the tort injury system .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["a medical malpractice insurance company", "a big one in the West", "insurance company"], "person": ["Donald Zook ( ph ) , who ' s head of a medical malpractice insurance company", "head of a medical malpractice insurance company", "his insurance company executive colleagues", "who", "insurance company executive", "I", "his"], "location": ["the West"]}


Instruction:
Text: He said that your problem of jacking up these insurance rates is self - inflicted .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: Here ' s an insurance company executive who is saying that .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"organization": ["insurance company"], "person": ["who", "an insurance company executive"]}


Instruction:
Text: PALMISANO Well , Mr . Zook is one executive you are quoting .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"person": ["you", "Mr . Zook", "Mr", "one executive you are quoting"]}


Instruction:
Text: What we need to do is look at all of the people who don ' t have doctors . . .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:

{"person": ["who", "doctors", "all of the people who don ' t have doctors", "we"]}


Instruction:
Text: NADER Hey , let ' s get some agreement .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: Should we get some agreement ?
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: NADER Do you want to really crack down on the bad doctors ?
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {organization/person/geographical social political/vehicle/location/weapon/facility：[entities]}.
Answer:


Instruction:
Text: A DNA molecule is attached at one end to the bottom of the flow cell and at the other end to a magnetic bead .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: This molecule can be pulled and twisted using small magnets placed above the flow cell .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: The position of the magnetic bead is measured using an inverted microscope placed beneath the flow cell .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: The induced torque increases linearly with the number of applied turns , as depicted in the top graph until a buckling transition allows the system to saturate its torsional constraint through the formation of plectonemes .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: The expression level of endogenous M2 protein in HeLa cells was determined using western blot 4 h following Trail ( 250 mug / ml ) treatment .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: The expression level of endogenous M2 mRNA in HeLa cells was detected using RNase protection assay 4 h following Trail ( 250 mug / ml ) treatment .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: HeLa cells were first treated with 250 mug / ml Trail followed by pulse labeling of newly synthesized proteins with [ 35S ] methionine .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: The most highly represented gene ontology themes in the neurosphere vs . differentiated cells comparison ( F - G ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: Among adolescent boys in Chapaevsk , Russia , higher serum levels of sum of dioxin - like compounds and sum of dioxin TEQs were positively associated with increased age , consumption of fish , local meats other than chicken , and inversely with weeks of gestation .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: Although not statistically significant , the distance the boy lived from the Khimprom factory at the time of blood draw was inversely associated with serum levels of sum of dioxin - like compounds and sum of dioxin TEQs .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: As expected , serum PCBs , specifically PCB 118 , were strongly associated with both sum of dioxin - like compounds and sum of dioxin TEQs .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: There was no association between the distance of the residence from the Khimprom plant during the pregnancy and subsequent serum dioxin levels .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: Other explanations include that prenatal exposure 14 or more years prior to the current serum sample is not as strong a predictor as are exposures resulting from present residential location .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: In prior studies , substantial emphasis has been placed on pre - and early postnatal ( via breastfeeding ) exposures because of particular vulnerability during fetal and early infant development .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: The mean TEQs of pooled blood samples from 10 year - old German boys in rural and urban settings was 8 . 2 pg TEQ / g lipid for an urban industrial area , 9 . 0 pg TEQ / g lipid for an industrial area within a rural setting , and 10 . 1 pg TEQ / g lipid for a rural area [ 27 ] .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: For example , they were higher than mean TEQs of 18 . 4 pg TEQ / g lipid in adults ( 40 . 6 years old average ) from South Germany [ 27 ] or 16 . 4 pg TEQ / g lipid from 20 year old Japanese women [ 28 ] or pooled samples from randomly selected males and females 18 - 69 years of age from the Spanish city of Mataro [ 29 ] , which were 12 . 5 and 14 . 7 pg TEQ / g lipid respectively .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: Mean TEQs for the general population ( mean age 44 . 2 years ) in Germany , collected in 1997 - 98 [ 31 ] , and median TEQs for long - term workers of pulp and paper mill and non - workers in the U . S . in 1996 [ 32 ] were similar to levels found in the Chapaevsk boys .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: Although TCDD was largely below the detection limits in this small pilot sample , the two boys with detectable values had high TCDD levels ( 17 . 9 and 21 . 7 pg / g lipid ) , suggesting that exposure for at least some portion of this population is substantially higher than typical of this age group .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: Not only were the dioxin levels in these two children higher than those found in these studies , but the adults in the previous studies were several decades older and therefore would be expected to have higher dioxin body burdens than younger children [ 35 ] .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: Potential explanations for the large number of non - detectable samples for TCDD include the small sample volume and young age of the subjects .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: In our future studies in this population , we will collect larger volumes of serum for dioxin analysis .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: In one of the few studies on dioxin - like compounds in which children were included , Eskenazi and coworkers [ 36 ] evaluated the relationship between serum TCDD concentrations and age at exposure of female residents of Seveso , Italy .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: Archived serum collected near the time of the accident was used to measure exposures .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: Residential proximity to the plant and younger age ( up to 13 years old ) were the strongest predictors of an individual ' s serum 2 , 3 , 7 , 8 - TCDD level .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: In our study , although distance from the Khimprom plants was a weak predictor of serum dioxin - like compounds , consumption of local foods ( specifically meat and fish ) , as in the Seveso study , was a strong predictor of sum of dioxin - like compounds and dioxin TEQs .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: Allergen and particle dose - response experiments in BALB / cA and NIH mice Levels of serum OVA - specific IgE ( A , D ) , IgG1 ( B , E ) and IgG2a ( C , F ) on day 26 after injection into one hind footpad of 100 ( open columns ) , 50 ( gray ) or 10 ( black ) mug OVA combined with 100 , 40 , 10 or 0 mug PSP , or buffer ( HBSS ( hatched ) ) , in BALB / cA ( A , B , C ) and NIH ( D , E , F ) mice .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: On day 21 the mice were boostered with the same OVA dose in the footpad .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: The adjuvant effect of PSP on OVA - specific IgE and IgG2a responses in different strains of mice Levels of serum OVA - specific IgE ( A ) and IgG2a ( B ) on day 26 after injection into one hind footpad of HBSS ( open columns ) , 10 mug OVA ( gray ) , 40 mug PSP ( hatched ) or 10 mug OVA + 40 mug PSP ( black ) in different mouse strains .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: On day 21 all mice were boostered with 10 mug OVA in the footpad .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: The primary cellular response in the draining lymph node The primary cellular response in the draining PLN was determined five days after a single injection of HBSS ( open columns ) , 10 mug OVA ( gray ) , 40 mug PSP ( hatched ) or 10 mug OVA + 40 mug PSP ( black ) into both hind footpads of BALB / cA , NIH and C3H / HeN mice .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:

{"Anatomy": ["cellular", "lymph node", "PLN"]}


Instruction:
Text: The total lymph node cell numbers ( A ) and IL - 4 ( B ) , IFN - gamma ( C ) and IL - 10 ( D ) secreted from the PLN cells after ex vivo stimulation with Con A were determined .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:

{"Anatomy": ["PLN cells", "lymph node cell"]}


Instruction:
Text: Values for individual samples ( circles ) and group median values ( columns ) are shown .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Anatomy：[entities]}.
Answer:


Instruction:
Text: Phenotypic analysis demonstrates that trio and Abl cooperate in regulating axon outgrowth in the embryonic central nervous system ( CNS ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: In the absence of shock , sepsis , or other identifiable causes of lactic acidosis , the severe anemia ( hemoglobin 1 . 2 g / dl ) appeared to be the primary etiologic factor .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: However the precise function of DNA - PK in DNA double - strand break repair is not known .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: The COR biosynthetic gene cluster in P . syringae pv . glycinea PG4180 is encoded by a 32 - kb region which contains both the structural and regulatory genes needed for COR synthesis .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: Interestingly , basal MAPK , but not Raf - 1 , activity was constitutively enhanced in Jak1 - deficient HeLa cells .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: We present here the complete primary structure of human gp330 , the human variant of the principal kidney autoantigen causing Heymann membranous glomerulonephritis in rats .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: No patient demonstrated a decrease in bone marrow fibrosis as determined by serial procollagen ( PC III ) serum level analysis .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: In four calves given Haemonchus contortus larvae , the serum pepsinogen concentration rose quickly to reach a mean of 3 . 5 iu tyrosine on day 14 after infection .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: The P - ITIM - compelled multi - phosphoprotein complex binds to and activates SHP - 2 , which in turn dephosphorylates SHIP and Shc and probably other substrates .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["Shc", "SHIP", "P - ITIM - compelled multi - phosphoprotein complex", "SHP - 2"]}


Instruction:
Text: Paradoxically , loop 3i from the M1Ach - muscarinic receptor also maximally inhibited GnRH agonist - stimulated cAMP accumulation and PRL release by 40 % ( both effects mediated through activation of the Gs protein ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["Gs protein", "GnRH", "M1Ach - muscarinic receptor", "PRL"]}


Instruction:
Text: Electrophoretic mobility - shift assays with nuclear extracts from COS - 1 cells transfected with expression vectors for SMADs 1 - 5 indicate that SMAD3 forms a complex with a migration similar to that of the endogenous TGF - beta - specific complex observed in fibroblast extracts .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["SMADs 1 - 5", "SMAD3", "endogenous TGF - beta - specific complex"]}


Instruction:
Text: Oligomers corresponding to the region of the mlc - 1 / 3 enhancer , which encompasses this conserved sequence , bound MEF - 2 and competed for its binding to the mck enhancer .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["mck", "mlc - 1 / 3 enhancer", "MEF - 2"]}


Instruction:
Text: cDNA cloning and transcriptional properties of a novel GC box - binding protein , BTEB2 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["BTEB2", "GC box - binding protein"]}


Instruction:
Text: Plasma prolactin in patients with colorectal cancer .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: E2A - HLF - mediated cell transformation requires both the trans - activation domains of E2A and the leucine zipper dimerization domain of HLF .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: In transient transfections using luciferase reporter genes driven by 1 kb of the 5 ' flanking DNA of the three CALM genes , the promoter activity correlated with the endogenous CALM transcriptional activity , but only when the 5 ' untranslated regions were included in the constructs .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["endogenous CALM", "CALM genes", "luciferase reporter genes"]}


Instruction:
Text: Binding of ZAP - 70 to phospho - TAMs is notable for the high level of cooperativity between the two SH2 domains , which individually demonstrate low affinity interaction with the ligand .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: Using the same approach we have shown that hFIRE binds the stimulatory proteins Sp1 and Sp3 in addition to CBF .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: Cellular fractionation and Percoll gradient centrifugation combined with immunoblotting show that p67 cofractionates with nuclei and is enriched in resistant structure that is insoluble in 2 M NaCl , 25 mM lithium 3 , 5 ' - diiodosalicylate , and 1 % Triton but is soluble in 8 M urea .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: Gene expression is in part controlled by chromatin remodeling factors and the acetylation state of nucleosomal histones .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: The primary structure of cholesterol esterase displayed no significant homology with other lipases , although the putative lipid interfacial recognition site of G - X - S - X - G is present in the cholesterol esterase sequence .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["cholesterol esterase", "lipases", "cholesterol esterase sequence"]}


Instruction:
Text: Subtype - and response element - dependent differences in transactivation by peroxisome proliferator - activated receptors alpha and gamma .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["peroxisome proliferator - activated receptors alpha and gamma"]}


Instruction:
Text: PMA produced similar results , but the induction of the WT AP1 c - jun promoter - CAT plasmid was smaller .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: In both study stages . post - exposure treatment consisted of five injections of vaccine [ ( D ) ays 0 , 3 , 7 , 14 , 28 ] , together with a dose of rabies immunoglobulin ( RIG ) of equine or human origin on D0 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["rabies immunoglobulin", "RIG"]}


Instruction:
Text: Electrophoretic mobility - shift assays showed a rapid induction of nuclear proteins that bound to the consensus kappa B motif .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: As in IncP alpha plasmids , these operons are transcribed from a bidirectional promoter region consisting of trfAp for the trfA operon and trbAp and trbBp for the trb operon .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["trb operon", "trfA operon", "trbAp", "trbBp", "trfAp"]}


Instruction:
Text: Comparison of the encoded ERCC3Dm protein with the homologous proteins of mouse and man shows a strong amino acid conservation ( 71 % identity ) , especially in the postulated DNA binding region and seven ' helicase ' domains .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["ERCC3Dm protein", "' helicase ' domains"]}


Instruction:
Text: Genetic analysis places CWH43 upstream of the BCK2 branch of the PKC1 signalling pathway , since cwh43 mutations were synthetic lethal with pkc1 deletion , whereas the cwh43 defects could be rescued by overexpression of BCK2 and not by high - copy - number expression of genes encoding downstream proteins of the PKC1 pathway However , unlike BCK2 , whose disruption in a cln3 mutant resulted in growth arrest in G ( 1 ) , no growth defect was observed in a double cwh43 cln3 mutants .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["pkc1", "cln3 mutants", "PKC1", "BCK2", "CWH43", "cwh43", "cln3 mutant"]}


Instruction:
Text: Expression of the E2 protein resulted in rapid repression of HPV E6 and E7 expression , followed approximately 12 h later by profound inhibition of cellular DNA synthesis .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: The hematopoietic form of PTPN6 transcript is initiated at a downstream promoter separated by 7 kb from the first .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: Reversal of biliary sphincter spasm with low dose glucagon during operative cholangiography .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: In ten other endotoxin - albumin - treated pigs PGE1 infusion ( 0 . 25 micrograms X kg - 1 X min - 1 ) was begun after established pulmonary and cardiovascular dysfunction , for closer mimicking of clinical use .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: In the yeast two - hybrid assays , PNRC interacted with the orphan receptors SF1 and ERRalpha1 in a ligand - independent manner .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: Additional genetic analyses described herein suggest that Skb1 is a component of the morphology control branch of the Ras signaling cascade in S . pombe and that it positively modulates Shk1 function .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: Transient transfection assays indicated that the ( - 4551 ) UCP1 - CAT construct , containing the 5 ' - regulatory region of the rat ucp - 1 gene , was activated by PPARalpha co - transfection in a dose - dependent manner and this activation was potentiated by Wy 14 , 643 and retinoid X receptor alpha .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["retinoid X receptor alpha", "UCP1", "rat ucp - 1 gene", "CAT", "PPARalpha"]}


Instruction:
Text: CRKL , an SH2 - SH3 - SH3 adapter protein , is one of the major tyrosine phosphoproteins detected in primary leukemic neutrophils from patients with CML .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["CRKL", "SH2", "SH3", "tyrosine phosphoproteins"]}


Instruction:
Text: Serum C3 was measured in 1 , 282 school children with abnormal urinary findings between 1980 and 1997 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: The adenovirus E1B 19 , 000 - molecular - weight ( 19K ) protein is a potent inhibitor of apoptosis and cooperates with E1A to transform primary rodent cells .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["adenovirus E1B 19 , 000 - molecular - weight ( 19K ) protein", "E1A"]}


Instruction:
Text: Subclones of R15 which reverted to kappa light chain production contained genomic deletions of R15ns and / or the surrounding intron .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: Previous data suggested a subtle increase in serum P at the time of hCG injection without LH surge reduces the PR of women having oocyte retrievals for IVF ; this study compared PRs of recipients in a shared oocyte program according to the donors ' pre - hCG P level .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: Scleraxis overexpression enhanced expression of the aggrecan gene , which is not normally expressed at high levels in these osteoblastic cells .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["aggrecan gene", "Scleraxis"]}


Instruction:
Text: Region - specific enhancers near two mammalian homeo box genes define adjacent rostrocaudal domains in the central nervous system .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: Cells were cotransfected with this plasmid , and the appropriate responder plasmids and clonies were selected on the basis of their resistance to Geneticin ( via the neomycin aminoglycoside phosphotransferase gene ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["neomycin aminoglycoside phosphotransferase gene"]}


Instruction:
Text: To clone cDNAs for the beta subunit of rabbit eIF - 2B , amino acid sequence data was first obtained and used to design redundant oligonucleotide primers for use in PCR .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: Deletion analysis of the 3 . 5kb DNA fragment revealed that the region between - 125 to + 1 , containing a single Sp1 binding site , is essential for transcription of the embigin gene .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["embigin gene", "Sp1 binding site"]}


Instruction:
Text: The cdc42W97R temperature - sensitive allele in S . cerevisiae displayed the same cell - division - cycle arrest phenotype ( large , round unbudded cells ) as the cdc42 - 1ts mutant .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["cdc42W97R temperature - sensitive allele", "cdc42 - 1ts mutant"]}


Instruction:
Text: To address this question with respect to skeletal muscle , we have examined the effects of the Providence mutation in cultured muscle cells , after adoptive gene transfer to adult mice , and in two infants homozygous for spectrin Providence .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: Adenovirus - mediated gene transfer of MMAC1 / PTEN to glioblastoma cells inhibits S phase entry by the recruitment of p27Kip1 into cyclin E / CDK2 complexes .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["p27Kip1", "MMAC1", "PTEN", "CDK2", "cyclin E"]}


Instruction:
Text: Increasing insulin sensitivity in type I diabetic patients should alert clinicians to the possibility of glucocorticoid deficiency .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:


Instruction:
Text: Immunoblotting using a phosphospecific anti - Src ( 416Y ) antibody showed a ceramide - induced increase in pp60 ( src ) tyrosine phosphorylation .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["pp60", "src", "phosphospecific anti - Src ( 416Y ) antibody"]}


Instruction:
Text: Spinophilin , a novel protein phosphatase 1 binding protein localized to dendritic spines .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["Spinophilin", "protein phosphatase 1 binding protein"]}


Instruction:
Text: The Htf9 - a gene encodes the RanBP1 protein , a major partner of the Ran GTPase .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {GENE：[entities]}.
Answer:

{"GENE": ["RanBP1 protein", "Htf9 - a gene", "Ran GTPase"]}


Instruction:
Text: Effects of docosahexaenoic acid and methylmercury on child ' s brain development due to consumption of fish by Finnish mother during pregnancy : a probabilistic modeling approach .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:

{"Chemical": ["methylmercury", "docosahexaenoic acid"]}


Instruction:
Text: Fish contains both beneficial substances e . g . docosahexaenoic acids but also harmful compounds e . g . methylmercury .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:

{"Chemical": ["methylmercury", "docosahexaenoic acids"]}


Instruction:
Text: The increased activities of the most important intestinal efflux ( P - glycoprotein - Pgp , Multidrug Resistance Associated Protein 2 - MRP - 2 , Breast Cancer Resistance Protein - BCRP ) and uptake ( MonoCarboxylate Transporter 1 - MCT1 , Organic Anion Transporting Polypeptide - OATP , Peptide transporter 1 - PepT1 ) transporters were caused by changes in electrophysiological membrane properties and by allosteric modifications .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: Because clinical studies investigating interactions between garlic and human immunodeficiency virus protease inhibitors saquinavir and ritonavir have already been performed , we used these in vivo data to evaluate the in vitro results and the reliability of the models employed as screening tools for forecasting the potential of first - pass intestinal metabolism changes .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: We also assessed the probability of pharmacokinetic interactions with garlic of the novel drug darunavir and other cardiovascular drugs .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: Endothelial nitric oxide synthase genotypes and haplotypes modify the responses to sildenafil in patients with erectile dysfunction .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:

{"Chemical": ["sildenafil", "nitric oxide"]}


Instruction:
Text: Erectile dysfunction ( ED ) is usually treated with sildenafil .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: Although genetic polymorphisms in the endothelial nitric oxide synthase ( eNOS ) gene may impair endogenous NO formation , there is little information about how eNOS polymorphisms and haplotypes affect the responses to sildenafil .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:

{"Chemical": ["NO", "sildenafil", "nitric oxide"]}


Instruction:
Text: The clinical responses to sildenafil were evaluated and the patients were classified as good responders ( GR ) or poor responders ( PR ) when their changes in five - item version of International Index for Erectile Function questionnaire were above or below the median value .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: Our findings show evidence that eNOS polymorphisms affect the responses of PED and clinical ED patients to sildenafil .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: On the benefit of magnetic magnesium nanocarrier in cardiovascular toxicity of aluminum phosphide .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:

{"Chemical": ["aluminum phosphide", "magnesium"]}


Instruction:
Text: The present study was designed to determine the effect of a new ( 25 ) Mg ( 2 + ) - carrying nanoparticle ( ( 25 ) MgPMC16 ) on energy depletion , oxidative stress , and electrocardiographic ( ECG ) parameters on heart tissue of the rats poisoned by aluminum phosphide ( AlP ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:

{"Chemical": ["( 25 ) Mg ( 2 + )", "aluminum phosphide", "( 25 ) MgPMC16", "AlP"]}


Instruction:
Text: ( 25 ) MgPMC16 at doses of 0 . 025 , 0 . 05 , and 0 . 1 median lethal dose ( LD50 = 896 mg / kg ) was administered intravenously ( iv ) 30 min after a single intragastric administration of AlP ( 0 . 25 LD50 ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: Sodium bicarbonate ( Bicarb ; 2 mEq / kg , iv ) was used as the standard therapy .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:

{"Chemical": ["Bicarb", "Sodium bicarbonate"]}


Instruction:
Text: Later lipid peroxidation , antioxidant power , ATP / ADP ratio , and Mg concentration in the heart were evaluated .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: Results indicated that after AlP administration , BP and HR decreased while R - R duration increased .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: ( 25 ) MgPMC16 significantly increased the BP and HR at all doses used .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: We found a considerable increase in antioxidant power , Mg level in the plasma and the heart and a reduction in lipid peroxidation and ADP / ATP ratio at various doses of ( 25 ) MgPMC16 , but ( 25 ) MgPMC16 - 0 . 025 + Bicarb was the most effective combination therapy .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:

{"Chemical": ["ADP", "Mg", "( 25 ) MgPMC16", "Bicarb", "ATP"]}


Instruction:
Text: The results of this study support that ( 25 ) MgPMC16 can increase heart energy by active transport of Mg inside the cardiac cells . ( 25 ) MgPMC16 seems ameliorating AlP - induced toxicity and cardiac failure necessitating further studies .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: Hyperthermia - exposed rats were killed under 50 mg / kg ketamine anaesthesia and tissue samples were obtained for biochemical and histopathological investigations .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: Hyperthermia treatment significantly decreased the testicular antioxidant system , including decreases in the glutathione level , superoxide dismutase , and glutathione peroxidase activities .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: Our data indicate a significant reduction in the expression of proliferating cell nuclear antigen and an enhancement in the activity of terminal deoxynucleotidyl transferase dUTP nick end labelling after scrotal hyperthermia .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: In order to study the mechanism of the histone deacetylase ( HDAC ) inhibitors valproic acid ( VPA ) and suberoylanilide hydroxamic acid ( SAHA ) in breast cancer , we generated and validated genomic profiles of drug response using a series of breast cancer cell lines sensitive to each drug .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:

{"Chemical": ["suberoylanilide hydroxamic acid", "VPA", "SAHA", "valproic acid"]}


Instruction:
Text: These genomic profiles were then used to model drug response in human breast tumors and show significant correlation between VPA and SAHA response profiles in multiple breast tumor data sets , highlighting their similar mechanism of action .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: The genes deregulated by VPA and SAHA converge on the cell cycle pathway ( Bayes factor 5 . 21 and 5 . 94 , respectively ; P - value 10 ( - 8 . 6 ) and 10 ( - 9 ) , respectively ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: In particular , VPA and SAHA upregulate key cyclin - dependent kinase ( CDK ) inhibitors .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: Together , these results led us to hypothesize that VPA and SAHA may interact synergistically with CDK inhibitors such as PD - 033299 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: The main isolated compounds were triterpenes ( alpha - amyrin , beta - amyrin , lupeol , betulin , betulinic acid , uvaol , erythrodiol and oleanolic acid ) and phenolic acid derivatives from 4 - hydroxybenzoic acid ( gallic and protocatechuic acids and isocorilagin ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:

{"Chemical": ["phenolic acid", "alpha - amyrin", "lupeol", "betulin", "gallic and protocatechuic acids", "betulinic acid", "beta - amyrin", "erythrodiol", "oleanolic acid", "isocorilagin", "uvaol", "4 - hydroxybenzoic acid", "triterpenes"]}


Instruction:
Text: In the germination assays , high inhibitory allelopathic effects of the extracts and isocorilagin were observed and 2 , 2 - diphenyl - 1 - picrylhydrazyl radical scavenging activity of isocorilagin was higher than those of the standards used ( Trolox and butylated hydroxyanisole ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:

{"Chemical": ["2 , 2 - diphenyl - 1 - picrylhydrazyl", "Trolox", "isocorilagin", "butylated hydroxyanisole"]}


Instruction:
Text: The urine fluoride levels and plasma TOS and TAC levels were measured .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: The urine fluoride levels of fluorosis patients were significantly higher than control subjects as expected ( 1 . 91 +/- 0 . 15 vs . 0 . 49 +/- 0 . 13 mg / L , respectively ; p < 0 . 001 ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: TAC was significantly lower in fluorosis group than in control group ( 1 . 60 +/- 0 . 36 vs . 1 . 82 +/- 0 . 51 mmol Trolox Eq / L , respectively ; p = 0 . 004 ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: Correlation analysis in all the groups indicated that TAC was negatively correlated with urine fluoride ( r = - 0 . 25 , p = 0 . 003 ) , TOS was positively correlated with urine fluoride ( r = 0 . 34 , p < 0 . 001 ) and OSI was positively correlated with urine fluoride ( r = 0 . 36 , p < 0 . 001 ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: Impact of aqueous doash extract on urinary mutagenicity in rats exposed to heterocyclic amines .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Chemical：[entities]}.
Answer:


Instruction:
Text: Torsade de pointes ventricular tachycardia during low dose intermittent dobutamine treatment in a patient with dilated cardiomyopathy and congestive heart failure .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["congestive heart failure", "dilated cardiomyopathy", "Torsade de pointes", "ventricular tachycardia"], "Chemical": ["dobutamine"]}


Instruction:
Text: The authors describe the case of a 56 - year - old woman with chronic , severe heart failure secondary to dilated cardiomyopathy and absence of significant ventricular arrhythmias who developed QT prolongation and torsade de pointes ventricular tachycardia during one cycle of intermittent low dose ( 2 . 5 mcg / kg per min ) dobutamine .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["QT prolongation", "heart failure", "ventricular arrhythmias", "dilated cardiomyopathy", "torsade de pointes", "ventricular tachycardia"], "Chemical": ["dobutamine"]}


Instruction:
Text: This report of torsade de pointes ventricular tachycardia during intermittent dobutamine supports the hypothesis that unpredictable fatal arrhythmias may occur even with low doses and in patients with no history of significant rhythm disturbances .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["torsade de pointes", "arrhythmias", "ventricular tachycardia"], "Chemical": ["dobutamine"]}


Instruction:
Text: The mechanisms of proarrhythmic effects of Dubutamine are discussed .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: Positive skin tests in late reactions to radiographic contrast media .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: In the last few years delayed reactions several hours after the injection of radiographic and contrast materials ( PRC ) have been described with increasing frequency .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["contrast materials", "PRC"]}


Instruction:
Text: The authors report two observations on patients with delayed reactions in whom intradermoreactions ( IDR ) and patch tests to a series of ionic and non ionic PRC were studied .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: After angiography by the venous route in patient n degree 1 a biphasic reaction with an immediate reaction ( dyspnea , loss of consciousness ) and delayed macro - papular rash appeared , whilst patient n degree 2 developed a generalised sensation of heat , persistent pain at the site of injection immediately and a generalised macro - papular reaction after 24 hours .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["dyspnea", "loss of consciousness", "macro - papular rash", "pain"]}


Instruction:
Text: The skin tests revealed positive delayed reactions of 24 hours and 48 hours by IDR and patch tests to only some PRC with common chains in their structures .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: The positive skin tests are in favour of immunological reactions and may help in diagnosis of allergy in the patients .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: Risk of transient hyperammonemic encephalopathy in cancer patients who received continuous infusion of 5 - fluorouracil with the complication of dehydration and infection .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["cancer", "infection", "hyperammonemic encephalopathy", "dehydration"], "Chemical": ["5 - fluorouracil"]}


Instruction:
Text: From 1986 to 1998 , 29 cancer patients who had 32 episodes of transient hyperammonemic encephalopathy related to continuous infusion of 5 - fluorouracil ( 5 - FU ) were identified .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["cancer", "hyperammonemic encephalopathy"], "Chemical": ["5 - fluorouracil", "5 - FU"]}


Instruction:
Text: None of the patients had decompensated liver disease .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: Onset of hyperammonemic encephalopathy varied from 0 . 5 to 5 days ( mean : 2 . 6 + / - 1 . 3 days ) after the initiation of chemotherapy .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: Plasma ammonium level ranged from 248 to 2387 microg % ( mean : 626 + / - 431 microg % ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: Among the 32 episodes , 26 ( 81 % ) had various degrees of azotemia , 18 ( 56 % ) occurred during bacterial infections and 14 ( 44 % ) without infection occurred during periods of dehydration .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["infection", "bacterial infections", "azotemia", "dehydration"]}


Instruction:
Text: Higher plasma ammonium levels and more rapid onset of hyperammonemia were seen in 18 patients with bacterial infections ( p = 0 . 003 and 0 . 0006 , respectively ) and in nine patients receiving high daily doses ( 2600 or 1800 mg / m2 ) of 5 - FU ( p = 0 . 0001 and < 0 . 0001 , respectively ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["5 - FU", "ammonium"], "Disease": ["hyperammonemia", "bacterial infections"]}


Instruction:
Text: In 25 out of 32 episodes ( 78 % ) , plasma ammonium levels and mental status returned to normal within 2 days after adequate management .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: In conclusion , hyperammonemic encephalopathy can occur in patients receiving continuous infusion of 5 - FU .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["hyperammonemic encephalopathy"], "Chemical": ["5 - FU"]}


Instruction:
Text: Azotemia , body fluid insufficiency and bacterial infections were frequently found in these patients .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["Azotemia", "bacterial infections"]}


Instruction:
Text: It is therefore important to recognize this condition in patients receiving continuous infusion of 5 - FU .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: The effects of quinine and 4 - aminopyridine on conditioned place preference and changes in motor activity induced by morphine in rats .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["morphine", "4 - aminopyridine", "quinine"]}


Instruction:
Text: The effects of two unselective potassium ( K ( + ) - ) channel blockers , quinine ( 12 . 5 , 25 and 50 mg / kg ) and 4 - aminopyridine ( 1 and 2 mg / kg ) , on conditioned place preference and biphasic changes in motor activity induced by morphine ( 10 mg / kg ) were tested in Wistar rats .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["quinine", "K", "potassium", "morphine", "4 - aminopyridine"]}


Instruction:
Text: Quinine is known to block voltage - , calcium - and ATP - sensitive K ( + ) - channels while 4 - aminopyridine is known to block voltage - sensitive K ( + ) - channels .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["calcium", "Quinine", "K", "ATP", "4 - aminopyridine"]}


Instruction:
Text: In the counterbalanced method , quinine attenuated morphine - induced place preference , whereas 4 - aminopyridine was ineffective .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["morphine", "4 - aminopyridine", "quinine"]}


Instruction:
Text: In the motor activity test measured with an Animex - activity meter neither of the K ( + ) - channel blockers affected morphine - induced hypoactivity , but both K ( + ) - channel blockers prevented morphine - induced secondary hyperactivity .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["K", "morphine"], "Disease": ["hyperactivity", "hypoactivity"]}


Instruction:
Text: These results suggest the involvement of quinine - sensitive but not 4 - aminopyridine - sensitive K ( + ) - channels in morphine reward .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["K", "morphine", "4 - aminopyridine", "quinine"]}


Instruction:
Text: It is also suggested that the blockade of K ( + ) - channels sensitive to these blockers is not sufficient to prevent morphine - induced hypoactivity whereas morphine - induced hyperactivity seems to be connected to both quinine - and 4 - aminopyridine - sensitive K ( + ) - channels .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["K", "morphine", "4 - aminopyridine", "quinine"], "Disease": ["hyperactivity", "hypoactivity"]}


Instruction:
Text: Nociceptin / orphanin FQ and nocistatin on learning and memory impairment induced by scopolamine in mice .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["Nociceptin", "orphanin FQ", "nocistatin", "scopolamine"], "Disease": ["learning and memory impairment"]}


Instruction:
Text: Nociceptin , also known as orphanin FQ , is an endogenous ligand for the orphan opioid receptor - like receptor 1 ( ORL1 ) and involves in various functions in the central nervous system ( CNS ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["Nociceptin", "orphanin FQ"]}


Instruction:
Text: On the other hand , nocistatin is recently isolated from the same precursor as nociceptin and blocks nociceptin - induced allodynia and hyperalgesia .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["nocistatin", "nociceptin"], "Disease": ["hyperalgesia", "allodynia"]}


Instruction:
Text: The present study was designed to investigate whether nociceptin / orphanin FQ and nocistatin could modulate impairment of learning and memory induced by scopolamine , a muscarinic cholinergic receptor antagonist , using spontaneous alternation of Y - maze and step - down type passive avoidance tasks in mice .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["nocistatin", "orphanin FQ", "nociceptin", "scopolamine"], "Disease": ["impairment of learning and memory"]}


Instruction:
Text: While nocistatin ( 0 . 5 - 5 . 0 nmol mouse - 1 , i . c . v . ) administered 30 min before spontaneous alternation performance or the training session of the passive avoidance task , had no effect on spontaneous alternation or passive avoidance behaviours , a lower per cent alternation and shorter median step - down latency in the retention test were obtained in nociceptin ( 1 . 5 and / or 5 . 0 nmol mouse - 1 , i . c . v . ) - treated normal mice .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: Administration of nocistatin ( 1 . 5 and / or 5 . 0 nmol mouse - 1 , i . c . v . ) 30 min before spontaneous alternation performance or the training session of the passive avoidance task , attenuated the scopolamine - induced impairment of spontaneous alternation and passive avoidance behaviours .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: These results indicated that nocistatin , a new biologically active peptide , ameliorates impairments of spontaneous alternation and passive avoidance induced by scopolamine , and suggested that these peptides play opposite roles in learning and memory .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: Meloxicam - induced liver toxicity .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["Meloxicam"], "Disease": ["liver toxicity"]}


Instruction:
Text: We report the case of a female patient with rheumatoid arthritis who developed acute cytolytic hepatitis due to meloxicam .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["hepatitis", "rheumatoid arthritis"], "Chemical": ["meloxicam"]}


Instruction:
Text: Recently introduced in Belgium , meloxicam is the first nonsteroidal antiinflammatory drug with selective action on the inducible form of cyclooxygenase 2 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: The acute cytolytic hepatitis occurred rapidly after meloxicam administration and was associated with the development of antinuclear antibodies suggesting a hypersensitivity mechanism .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["hypersensitivity", "hepatitis"], "Chemical": ["meloxicam"]}


Instruction:
Text: This first case of meloxicam related liver toxicity demonstrates the potential of this drug to induce hepatic damage .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["meloxicam"], "Disease": ["liver toxicity", "hepatic damage"]}


Instruction:
Text: Induction of apoptosis by remoxipride metabolites in HL60 and CD34 + / CD19 - human bone marrow progenitor cells : potential relevance to remoxipride - induced aplastic anemia .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["remoxipride"], "Disease": ["aplastic anemia"]}


Instruction:
Text: The antipsychotic agent , remoxipride [ ( S ) - ( - ) - 3 - bromo - N - [ ( 1 - ethyl - 2 - pyrrolidinyl ) methyl ] - 2 , 6 - dimethoxybenz amide ] has been associated with acquired aplastic anemia .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["( S ) - ( - ) - 3 - bromo - N - [ ( 1 - ethyl - 2 - pyrrolidinyl ) methyl ] - 2 , 6 - dimethoxybenz amide", "remoxipride"], "Disease": ["aplastic anemia"]}


Instruction:
Text: We have examined the ability of remoxipride , three pyrrolidine ring metabolites and five aromatic ring metabolites of the parent compound to induce apoptosis in HL60 cells and human bone marrow progenitor ( HBMP ) cells .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: Apoptosis was assessed by fluorescence microscopy in Hoechst 33342 - and propidium iodide stained cell samples .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["propidium iodide", "Hoechst 33342"]}


Instruction:
Text: The catechol and hydroquinone metabolites , NCQ436 and NCQ344 , induced apoptosis in HL60 and HBMP cells in a time - and concentration dependent manner , while the phenols , NCR181 , FLA873 , and FLA797 , and the derivatives formed by oxidation of the pyrrolidine ring , FLA838 , NCM001 , and NCL118 , had no effect .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["phenols", "pyrrolidine", "NCQ344", "NCQ436", "catechol", "FLA797", "hydroquinone"]}


Instruction:
Text: No necrosis was observed in cells treated with NCQ436 but NCQ344 had a biphasic effect in both cell types , inducing apoptosis at lower concentrations and necrosis at higher concentrations .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["necrosis"], "Chemical": ["NCQ436", "NCQ344"]}


Instruction:
Text: These data show that the catechol and hydroquinone metabolites of remoxipride have direct toxic effects in HL60 and HBMP cells , leading to apoptosis , while the phenol metabolites were inactive .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["phenol", "remoxipride", "hydroquinone", "catechol"]}


Instruction:
Text: Similarly , benzene - derived catechol and hydroquinone , but not phenol , induce apoptosis in HBMP cells [ Moran et al . , Mol . Pharmacol . , 50 ( 1996 ) 610 - 615 ] .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["phenol", "hydroquinone", "benzene", "catechol"]}