Why do people blush when they are embarrassed?

from ask yahoo...\nhttp://ask.yahoo.com/ask/20040113.html\n<<Blushing is a unique blend of evolutionary and social behavior. It's an involuntary reaction of the sympathetic nervous system, which is responsible for our "fight or flight" response, but blushing is solely triggered by social cues. <br />\nPeople generally blush when they're feeling embarrassed, scared, or stressed. As a result of the "fight or flight" response, the capillaries that carry blood to the skin widen, and the increased blood flow lends the face, as well as sometimes the chest, neck, or even the body or legs, a reddened color. \nExcessive facial blushing, or erythrophobia, is caused by overactivity of the sympathetic nervous system. The condition can cause a lot of psychological duress and has engendered several support groups. \nIt's common knowledge that animals don't blush. So while there are some evolutionary cues behind blushing, it's also linked to something uniquely human -- moral consciousness.>>


Is Lin Qingxia (aka Brigitte Lin) "the most beautiful woman in Chinese cinema?"

Well.  Everyone has different definition on what 'beauty' is.  I like Lin Qingxia, but I think many girls are prettier than she was. (She is more than 40 years old now). \nIf "Lin Qingxia" is the most beautiful woman in the Chinese cinema, the most handsome man in Chinese cinema should be "Chin Han" because they always made movies together.\nHowever, A male movie star once was asked his girlfriend in real life or the girlfriend in movie is more beautiful.  He gave a very good answer: "I think my mother is the most beautiful woman in the world."  :)


Not sure if this is the origin, but I think it was popularized in the 1989 film "Tango & Cash". After Tango, played by Sylvester Stallone, and Cash, portrayed by Kurt Russell, were thrown into jail and setup in a failed jailbreak attempt, the bad guy Yves Perret (Jack Pallance) locked them in the boiler room with a bunch of felons Tango & Cash had put in jail. Prior to unleashing a can of whoop-ass, their conversation was as follows:\nGabriel Cash: I don't know about you, but I have an aversion to getting F.U.B.A.R...\nRay Tango: What's F.U.B.A.R.?\nGabriel Cash: Fucked-Up Beyond All Recognition.


A tough question as it overlaps science and theology. Since you asked "how the human species evolved?" I'll assume you're interested in the scientific approach to the answer.\nThe current theory holds that Homo sapiens evolved from Hominid ancestors over the course of millions of years through a process called natural selection. Natural selection is the weeding and advancement of species variants over time based on the fit in that species' then current environments. The pressures for "fit" are competitive (with each other, with other tribes, and with other animals) and environmental (weather, terrain, availability of food, etc.). These factors all contributed to the development of our higher brain, which we now use to evolve as a global collective through communication & technology.


Who said the statement below and what does it mean?

That is kind of a tricky little quote. Sometimes placing it in context can help. This is a quote from Ralph Waldo Emerson's essay "Self Reliance," which discourages basing one's opinions and actions on common opinion in favor of self-trust (see the full essay at http://www.emersoncentral.com/selfreliance.htm). \nI think the point of this quote is that it's very desireable to have one's own original thoughts and opinions, and to live by them.  It's easier to live by one's own convictions and not be persuaded by others when in isolation (that's the "independence of solitude"). However, not so special to isolate oneself from others in order to attain this ideal. Because it's difficult to live by one's own thoughts and opinions while being a part of society, it's something only a "finished man" can truly do. Also, in the essay, Emerson refers to being childlike - unselfish, non-judgmental, open-minded, uncynical, unhesitant - as something to admire. So I think that's where the seemingly misplaced "perfect sweetness" comes in. When a man can remain pure of heart while living in the harsh world and also keeping and living by his own ideals. \nWhat do you think?


maximum prefix sum possible by merging two given arrays | python3 implementation of the above approach ; stores the maximum prefix sum of the array a [ ] ; traverse the array a [ ] ; stores the maximum prefix sum of the array b [ ] ; traverse the array b [ ] ;

def maxPresum(a, b):
    X = max(a[0], 0)
    for i in range(1, len(a)):
        a[i] += a[i - 1]
        X = max(X, a[i])
    Y = max(b[0], 0)
    for i in range(1, len(b)):
        b[i] += b[i - 1]
        Y = max(Y, b[i])
    return X + Y


check if a number can be represented as sum of two positive perfect cubes | python3 program for the above approach ; function to check if n can be represented as sum of two perfect cubes or not ; if it is same return true ; ; if the curr smaller than n increment the lo ; if the curr is greater than curr decrement the hi ;

Context: import math

def sumOfTwoCubes(n):
    lo = 1
    hi = round(math .pow(n, 1 / 3))
    while (lo <= hi):
        curr = (lo * lo * lo + hi * hi * hi)
        if (curr == n):
            return True
        if (curr < n):
            lo += 1
        else:
            hi -= 1
    return False

N = 28
if (sumOfTwoCubes(N)):
    print("True")
else:
    print("False")

Output: True


generate an n | python3 program for the above approach ; function to generate all prime numbers upto 10 ^ 6 ; initialize sieve [ ] as 1 ; iterate over the range [ 2 , n ] ; if current element is non - prime ; make all multiples of i as 0 ; function to construct an array a [ ] satisfying the given conditions ; stores the resultant array ; stores all prime numbers ; sieve of erastosthenes ; append the integer i if it is a prime ; indicates current position in list of prime numbers ; traverse the array arr [ ] ; if already filled with another prime number ; if a [ i ] is not filled but a [ ind ] is filled ; store a [ i ] = a [ ind ] ; if none of them were filled ; to make sure a [ i ] does not affect other values , store next prime number ; print the resultant array ;

Context: sieve = [1] * (1000000 + 1)

def sieveOfPrimes():
    global sieve
    N = 1000000
    for i in range(2, N + 1):
        if i * i > N:
            break
        if (sieve[i] == 0):
            continue
        for j in range(i * i, N + 1, i):
            sieve[j] = 0

def getArray(arr, N):
    global sieve
    A = [0] * N
    v = []
    sieveOfPrimes()
    for i in range(2, int(1e5) + 1):
        if (sieve[i]):
            v .append(i)
    j = 0
    for i in range(N):
        ind = arr[i]
        if (A[i] != 0):
            continue
        elif (A[ind] != 0):
            A[i] = A[ind]
        else:
            prime = v[j]
            A[i] = prime
            A[ind] = A[i]
            j += 1
    for i in range(N):
        print(A[i], end=" ")

if __name__ == '__main__':
    arr = [4, 1, 2, 3, 4]
    N = len(arr)
    getArray(arr, N)

Output: 2 3 5 7 2


nth natural number after removing all numbers consisting of the digit 9 | function to find nth number in base 9 ; stores the nth number ; iterate while n is greater than 0 ; update result ; divide n by 9 ; multiply p by 10 ; return result ;

def findNthNumber(N):
    result = 0
    p = 1
    while (N > 0):
        result += (p * (N % 9))
        N = N // 9
        p = p * 10
    return result

if __name__ == '__main__':
    N = 9
    print(findNthNumber(N))


check if an integer is rotation of another given integer | python3 implementation of the approach ; function to check if the integer a is a rotation of the integer b ; stores the count of digits in a ; stores the count of digits in b ; if dig1 not equal to dig2 ; stores position of first digit ; stores the first digit ; rotate the digits of the integer ; if a is equal to b ; if a is equal to the initial value of integer a ;

Context: import math

def check(A, B):
    if (A == B):
        return 1
    dig1 = math .floor(math .log10(A) + 1)
    dig2 = math .floor(math .log10(B) + 1)
    if (dig1 != dig2):
        return 0
    temp = A
    while (True):
        power = pow(10, dig1 - 1)
        firstdigit = A // power
        A = A - firstdigit * power
        A = A * 10 + firstdigit
        if (A == B):
            return 1
        if (A == temp):
            return 0

A, B = 967, 679
if (check(A, B)):
    print("Yes")
else:
    print("No")

Output: Yes


count of quadruples with product of a pair equal to the product of the remaining pair | function to count the number of unique quadruples from an array that satisfies the given condition ; hashmap to store the product of pairs ; store the count of required quadruples ; traverse the array arr [ ] and generate all possible pairs ; store their product ; pair ( a , b ) can be used to generate 8 unique permutations with another pair ( c , d ) ; increment umap [ prod ] by 1 ; print the result ;

def sameProductQuadruples(nums, N):
    umap = {}
    res = 0
    for i in range(N):
        for j in range(i + 1, N):
            prod = nums[i] * nums[j]
            if prod in umap:
                res += 8 * umap[prod]
                umap[prod] += 1
            else:
                umap[prod] = 1
    print(res)

if __name__ == "__main__":
    arr = [2, 3, 4, 6]
    N = len(arr)
    sameProductQuadruples(arr, N)


count ways to place m objects in distinct partitions of n boxes | python3 implementation of the above approach ; iterative function to calculate ( x ^ y ) % p in o ( log y ) ; initialize result ; update x if x >= mod to avoid multiplication overflow ; if y is odd , multiply x with result ; y = y / 2 ; change x to x ^ 2 ; utility function to find the total number of ways ; number of even indexed boxes ; number of partitions of even indexed boxes ; number of ways to distribute objects ;

Context: MOD = 1000000007

def power(x, y, p=MOD):
    res = 1
    x = x % p
    while (y > 0):
        if (y & 1):
            res = (res * x) % p
        y = y >> 1
        x = (x * x) % p
    return res

def totalWays(N, M):
    X = N // 2
    S = (X * (X + 1)) % MOD
    print(power(S, M, MOD))

if __name__ == '__main__':
    N, M = 5, 2
    totalWays(N, M)


check if a graph constructed from an array based on given conditions consists of a cycle or not | function to check if the graph constructed from given array contains a cycle or not ; traverse the array ; if arr [ i ] is less than arr [ i - 1 ] and arr [ i ] ;

def isCycleExists(arr, N):
    valley = 0
    for i in range(1, N):
        if (arr[i] < arr[i - 1] and arr[i] < arr[i + 1]):
            print("Yes")
            return
    print("No")

if __name__ == '__main__':
    arr = [1, 3, 2, 4, 5]
    N = len(arr)
    isCycleExists(arr, N)

Output: Yes


maximize first array element by performing given operations at most k times | function to maximize the first array element ; traverse the array ; initialize cur_val to a [ i ] ; if all operations are not over yet ; if current value is greater than zero ; incrementing first element of array by 1 ; decrementing current value of array by 1 ; decrementing number of operations by i ; if current value is zero , then break ; print first array element ;

def getMax(arr, N, K):
    for i in range(1, N, 1):
        cur_val = arr[i]
        while (K >= i):
            if (cur_val > 0):
                arr[0] = arr[0] + 1
                cur_val = cur_val - 1
                K = K - i
            else:
                break
    print(arr[0])

if __name__ == '__main__':
    arr = [1, 0, 3, 2]
    N = len(arr)
    K = 5
    getMax(arr, N, K)


count non | python3 program of the above approach ; function to find the gcd of the two numbers ; function to find distinct elements in the array by repeatidely inserting the absolute difference of all possible pairs ; stores largest element of the array ; traverse the array , arr [ ] ; update max_value ; stores gcd of array ; update gcdarr ; stores distinct elements in the array by repeatedely inserting absolute difference of all possible pairs ;

Context: import sys

def gcd(a, b):
    if a == 0:
        return b
    return gcd(b % a, a)

def DistinctValues(arr, N):
    max_value = -sys .maxsize - 1
    max_value = max(arr)
    GCDArr = arr[0]
    for i in range(1, N):
        GCDArr = gcd(GCDArr, arr[i])
    answer = max_value // GCDArr
    return answer + 1

arr = [4, 12, 16, 24]
N = len(arr)
print(DistinctValues(arr, N))


A clock that blends in with the wall hangs in a bathroom.

A very clean and well decorated empty bathroom

A bathroom with a border of butterflies and blue paint on the walls above it.

An angled view of a beautifully decorated bathroom.

A blue and white bathroom with butterfly themed wall tiles.


A panoramic view of a kitchen and all of its appliances.

multiple photos of a brown and white kitchen.

A panoramic photo of a kitchen and dining room

A wide angle view of the kitchen work area

A kitchen that has a checkered patterned floor and white cabinets.


A graffiti-ed stop sign across the street from a red car

A vandalized stop sign and a red beetle on the road

A stop sign that has been vandalized is pictured in front of a parked car.

A red stop sign with a Bush bumper sticker under the word stop.

A street sign modified to read stop bush.


Two people carrying surf boards on a beach.

Two teenagers at a white sanded beach with surfboards.

The two people are walking down the beach.

A couple at the beach walking with their surf boards.

A guy and a girl are walking on the beach holding surfboards.


a bathroom with toilet and sink and blue wall

Clean indoor bathroom with tiled floor and good lighting.

White pedestal sink and toilet located in a poorly lit bathroom.

A sink and a toilet inside a small bathroom.


An empty kitchen with white and black appliances.

A refrigerator and stove are in a small kitchen area.

Small kitchen in a personal home with dual sinks.

A small kitchen with sink, stove and refrigerator.

A small kitchen with several appliances and cookware.


A white kitchen filled with pots, pans and dishes.

A white kitchen in a home with the light on.

A white kitchen without doors on the cabinets.

A kitchen with a tile floor has cabinets with no doors, a dishwasher, a sink, and a refrigerator.

A white square kitchen with tile floor that needs repairs


A hotel bathroom with stone counter and mirror

The vanity contains two sinks with a towel for each.

A clean restroom with towels and washcloths laid out.

The bathroom counter is stocked with towels and supplies.

There is a clean bathroom counter and sink.


silver balls laying on the ground around a smaller red ball.

Silver balls are lined up in the sand as people mill about in the background.

Silver balls on sand with people walking around.

People standing around many silver round balls on the ground.

Several metal balls sit in the sand near a group of people.


A kitchen with brown cabinets, tile backsplash, and grey counters.

A clean, organized, kitchen cabinet and countertop area.

A kitchen with wood cabinets and granite counter tops.

A kitchen has red bricks lining the counter.

A kitchen contains black countertops, brown cabinets, and a red and white tile blacksplash.


One of the other reviewers has mentioned that after watching just 1 Oz episode you'll be hooked. They are right, as this is exactly what happened with me.

The first thing that struck me about Oz was its brutality and unflinching scenes of violence, which set in right from the word GO. Trust me, this is not a show for the faint hearted or timid. This show pulls no punches with regards to drugs, sex or violence. Its is hardcore, in the classic use of the word.

It is called OZ as that is the nickname given to the Oswald Maximum Security State Penitentary. It focuses mainly on Emerald City, an experimental section of the prison where all the cells have glass fronts and face inwards, so privacy is not high on the agenda. Em City is home to many..Aryans, Muslims, gangstas, Latinos, Christians, Italians, Irish and more....so scuffles, death stares, dodgy dealings and shady agreements are never far away.

I would say the main appeal of the show is due to the fact that it goes where other shows wouldn't dare. Forget pretty pictures painted for mainstream audiences, forget charm, forget romance...OZ doesn't mess around. The first episode I ever saw struck me as so nasty it was surreal, I couldn't say I was ready for it, but as I watched more, I developed a taste for Oz, and got accustomed to the high levels of graphic violence. Not just violence, but injustice (crooked guards who'll be sold out for a nickel, inmates who'll kill on order and get away with it, well mannered, middle class inmates being turned into prison bitches due to their lack of street skills or prison experience) Watching Oz, you may become comfortable with what is uncomfortable viewing....thats if you can get in touch with your darker side.


A wonderful little production.

The filming technique is very unassuming- very old-time-BBC fashion and gives a comforting, and sometimes discomforting, sense of realism to the entire piece.

The actors are extremely well chosen- Michael Sheen not only "has got all the polari" but he has all the voices down pat too! You can truly see the seamless editing guided by the references to Williams' diary entries, not only is it well worth the watching but it is a terrificly written and performed piece. A masterful production about one of the great master's of comedy and his life.

The realism really comes home with the little things: the fantasy of the guard which, rather than use the traditional 'dream' techniques remains solid then disappears. It plays on our knowledge and our senses, particularly with the scenes concerning Orton and Halliwell and the sets (particularly of their flat with Halliwell's murals decorating every surface) are terribly well done.


I thought this was a wonderful way to spend time on a too hot summer weekend, sitting in the air conditioned theater and watching a light-hearted comedy. The plot is simplistic, but the dialogue is witty and the characters are likable (even the well bread suspected serial killer). While some may be disappointed when they realize this is not Match Point 2: Risk Addiction, I thought it was proof that Woody Allen is still fully in control of the style many of us have grown to love.

This was the most I'd laughed at one of Woody's comedies in years (dare I say a decade?). While I've never been impressed with Scarlet Johanson, in this she managed to tone down her "sexy" image and jumped right into a average, but spirited young woman.

This may not be the crown jewel of his career, but it was wittier than "Devil Wears Prada" and more interesting than "Superman" a great comedy to go see with friends.


Basically there's a family where a little boy (Jake) thinks there's a zombie in his closet & his parents are fighting all the time.

This movie is slower than a soap opera... and suddenly, Jake decides to become Rambo and kill the zombie.

OK, first of all when you're going to make a film you must Decide if its a thriller or a drama! As a drama the movie is watchable. Parents are divorcing & arguing like in real life. And then we have Jake with his closet which totally ruins all the film! I expected to see a BOOGEYMAN similar movie, and instead i watched a drama with some meaningless thriller spots.

3 out of 10 just for the well playing parents & descent dialogs. As for the shots with Jake: just ignore them.


Petter Mattei's "Love in the Time of Money" is a visually stunning film to watch. Mr. Mattei offers us a vivid portrait about human relations. This is a movie that seems to be telling us what money, power and success do to people in the different situations we encounter.

This being a variation on the Arthur Schnitzler's play about the same theme, the director transfers the action to the present time New York where all these different characters meet and connect. Each one is connected in one way, or another to the next person, but no one seems to know the previous point of contact. Stylishly, the film has a sophisticated luxurious look. We are taken to see how these people live and the world they live in their own habitat.

The only thing one gets out of all these souls in the picture is the different stages of loneliness each one inhabits. A big city is not exactly the best place in which human relations find sincere fulfillment, as one discerns is the case with most of the people we encounter.

The acting is good under Mr. Mattei's direction. Steve Buscemi, Rosario Dawson, Carol Kane, Michael Imperioli, Adrian Grenier, and the rest of the talented cast, make these characters come alive.

We wish Mr. Mattei good luck and await anxiously for his next work.


Probably my all-time favorite movie, a story of selflessness, sacrifice and dedication to a noble cause, but it's not preachy or boring. It just never gets old, despite my having seen it some 15 or more times in the last 25 years. Paul Lukas' performance brings tears to my eyes, and Bette Davis, in one of her very few truly sympathetic roles, is a delight. The kids are, as grandma says, more like "dressed-up midgets" than children, but that only makes them more fun to watch. And the mother's slow awakening to what's happening in the world and under her own roof is believable and startling. If I had a dozen thumbs, they'd all be "up" for this movie.


I sure would like to see a resurrection of a up dated Seahunt series with the tech they have today it would bring back the kid excitement in me.I grew up on black and white TV and Seahunt with Gunsmoke were my hero's every week.You have my vote for a comeback of a new sea hunt.We need a change of pace in TV and this would work for a world of under water adventure.Oh by the way thank you for an outlet like this to view many viewpoints about TV and the many movies.So any ole way I believe I've got what I wanna say.Would be nice to read some more plus points about sea hunt.If my rhymes would be 10 lines would you let me submit,or leave me out to be in doubt and have me to quit,If this is so then I must go so lets do it.


This show was an amazing, fresh & innovative idea in the 70's when it first aired. The first 7 or 8 years were brilliant, but things dropped off after that. By 1990, the show was not really funny anymore, and it's continued its decline further to the complete waste of time it is today.

It's truly disgraceful how far this show has fallen. The writing is painfully bad, the performances are almost as bad - if not for the mildly entertaining respite of the guest-hosts, this show probably wouldn't still be on the air. I find it so hard to believe that the same creator that hand-selected the original cast also chose the band of hacks that followed. How can one recognize such brilliance and then see fit to replace it with such mediocrity? I felt I must give 2 stars out of respect for the original cast that made this show such a huge success. As it is now, the show is just awful. I can't believe it's still on the air.


Encouraged by the positive comments about this film on here I was looking forward to watching this film. Bad mistake. I've seen 950+ films and this is truly one of the worst of them - it's awful in almost every way: editing, pacing, storyline, 'acting,' soundtrack (the film's only song - a lame country tune - is played no less than four times). The film looks cheap and nasty and is boring in the extreme. Rarely have I been so happy to see the end credits of a film.

The only thing that prevents me giving this a 1-score is Harvey Keitel - while this is far from his best performance he at least seems to be making a bit of an effort. One for Keitel obsessives only.


If you like original gut wrenching laughter you will like this movie. If you are young or old then you will love this movie, hell even my mom liked it.

Great Camp!!!


Hi, i'm Isaac, i'm going to be writing about how this face on Mars is a natural landform or if there is life on Mars that made it. The story is about how NASA took a picture of Mars and a face was seen on the planet. NASA doesn't know if the landform was created by life on Mars, or if it is just a natural landform.

Hi Isaac going writing face Mars natural landform life Mars made The story NASA took picture Mars face seen planet NASA know landform created life Mars natural landform


On my perspective, I think that the face is a natural landform because I dont think that there is any life on Mars. In these next few paragraphs, I'll be talking about how I think that is is a natural landform

On perspective I think face natural landform I dont think life Mars In next paragraphs I talking I think natural landform


I think that the face is a natural landform because there is no life on Mars that we have descovered yet

I think face natural landform life Mars descovered yet


If life was on Mars, we would know by now. The reason why I think it is a natural landform because, nobody live on Mars in order to create the figure. It says in paragraph 9, "It's not easy to target Cydonia," in which he is saying that its not easy to know if it is a natural landform at this point. In all that they're saying, its probably a natural landform.

If life Mars would know The reason I think natural landform nobody live Mars order create figure It says paragraph 9 It easy target Cydonia saying easy know natural landform point In saying probably natural landform


People thought that the face was formed by alieans because they thought that there was life on Mars.

People thought face formed alieans thought life Mars


though some say that life on Mars does exist, I think that there is no life on Mars.

though say life Mars exist I think life Mars


It says in paragraph 7, on April 5, 1998, Mars Global Surveyor flew over Cydonia for the first time. Michael Malin took a picture of Mars with his Orbiter Camera, that the face was a natural landform.

It says paragraph 7 April 5 1998 Mars Global Surveyor flew Cydonia first time Michael Malin took picture Mars Orbiter Camera face natural landform


Everyone who thought it was made by alieans even though it wasn't, was not satisfied. I think they were not satisfied because they have thought since 1976 that it was really formed by alieans.

Everyone thought made alieans even though satisfied I think satisfied thought since 1976 really formed alieans


Though people were not satified about how the landform was a natural landform, in all, we new that alieans did not form the face. I would like to know how the landform was formed. we know now that life on Mars doesn't exist.

Though people satified landform natural landform new alieans form face I would like know landform formed know life Mars exist


With so many things in this world that few people agree on, this is a nice change to see in regards the removal of so many cars. Why would they all agree, one might ask. Well, there are plenty of reasons.

With many things world people agree nice change see regards removal many cars Why would agree one might ask Well plenty reasons


great practice amp get lot feature technology money plus sound pretty good 20watt combo


massage therapist use almond oil job daily basis oil really help soothe skin especially working client exposed element lot find provides client better experience overall especially working back ultimate forumla use almond oil fair area jojoba oil rougher area like hand elbow foot jojoba oil awesome asin b00ajfv8l6 food sweet almond oil 16 oz free desert essence pure jojoba oil 4 fl oz really help soften skin extra hard place br br use stuff home one dab oil morning give hand soft feeling throughout day whether working great face client told use hair well stuff great non greasy quick use

['use', 'almond', 'oil', 'really', 'help', 'skin', 'especially', 'working', 'client', 'area', 'jojoba', 'hand', 'oz', 'br', 'stuff', 'great']


purchased husband leery first holding weight happy using every since


pressure oven superb job roasting turkey chicken come moist tasty short period time feature work well though rod becomes disconnected oven heat pressure core quits turning even fell cook without pressure stay place take longer loose moistness


clicking worked time flimsy plastic thing cause click break hold lid right leak great deal


total piece junk handle plate started separating eventually chipped paddle 6 hour use ball lost compression split half second day use buyer beware look cool made horribly


nowhere product listing stated used cartridge drilled refilled repackaged toner cartridge received office depot brand reconditioned toner cartridge anything connected hp manufacturer br br wanted refilled used laser toner cartridge would bought one much lower cost one selling hence surprise see sent refilled cartridge

['used', 'cartridge', 'refilled', 'toner', 'br', 'one']


item slide floor poor quality please favor waste money product


excited get set lego always fun great quality cupcake liner extra bonus wait make grandkids


see tech armor offering awesome warranty screen protector likely last lifetime phone longer wish friend galaxy s4 give 2 spare screen protector came package want go waste pretty sure need durable still scratch phone pretty amazing br br package come 3 screen protector chamois like cloth clean dust sticker pick lint screen protector place phone credit card sized thin cardboard piece smooth stubborn bubble underneath protector set easy follow instruction including link simple easy mean easy follow installation video br br buy screen protector includes lifetime warranty like 6 buck brainer br note samsung galaxy s4 active

['warranty', 'screen', 'protector', 'lifetime', 'phone', 'galaxy', 's4', 'package', 'pretty', 'br', 'like', 'easy', 'follow']


The Canadian farmer. A missionary incident [Signed: W. J. H. Y, i.e. William J. H. Yates.]


An Elegy written among the ruins of an Abbey. By the author of the Nun [E. Jerningham]


The Baron's Daughter. A ballad by the author of Poetical Recreations [i.e. William C. Hazlitt] . F.P


A Little Book of Verse, etc


The Autumn Leaf Poems


The Battle of Waterloo, a poem


Maximilian, and other poems, etc


The Grave of a Hamlet and other poems, chiefly of the Hebrides ... Selected, with an introduction, by his son J. Hogben


Plays for my Pupils. In prose and verse


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Question: Does my data leave the European Union?

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Context:
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Context:
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A set of 31 guns , cast 1729-1749 by the first master founder at the Royal Foundry , later the Royal Arsenal , Woolwich , were used to fire salutes until 1907 , often for Queen Victoria , who was a frequent visitor .

A set of 31 guns , cast 1729-1749 by the first master founder at the Royal Foundry , later the Royal Arsenal , Woolwich , were used to fire salutes until 1907 , often for Queen Victoria who was a frequent visitor .


In 1929 , the building became vacant , and was given to Prince Edward , Prince of Wales , by his father , King George V . This became the Prince 's chief residence and was used extensively by him for entertaining and as a country retreat .

In 1929 , the building became vacant , and was given to Prince Edward , the Prince of Wales by his father , King George V . This became the Prince 's chief residence , and was used extensively by the Prince for entertaining and as a country retreat .


Additions included an octagon room in the north-east side , in which the King regularly had dinner .

Additions included an octagon room in the North-East side , where the King regularly had dinner .


In 1976 , the Emir of Dubai moved in .
In 1976 the Emir of Dubai moved in .


During World War II , the fort was used by the Office of the Commissioners of Crown Lands , having been evacuated from their central London offices .

During World War II , the Fort was used by the Office of the Commissioners of Crown Lands , which had been evacuated from their central London offices .


The new work included the extension of the military appearance of the house , though it never had any military significance .

The new work included the extension of the military appearance of the house , though it never had any military use .


Sir Jeffrey Wyattville , who was responsible , under King George IV , for the rebuilding of Windsor Castle , enlarged the house in 1828 for use as a hunting lodge .

Sir Jeffrey Wyattville , who was responsible for the rebuilding of Windsor Castle under George IV , enlarged the house in 1828 , for use as a hunting lodge .


The fort became the setting of the abdication crisis in 1936 , when Edward abdicated the throne following the British and Dominion governments ' opposition to his marriage to Simpson .

The Fort became the setting of the Abdication crisis during 1936 , when Edward abdicated the throne following the British and Dominion governments ' opposition to his marriage to Wallis Simpson .


The triangular turreted structure was set amidst a dense plantation of trees and overlooked Virginia Water , a man-made body of water constructed by Thomas and Paul Sandby at the behest of the Duke .

The triangular turreted structure was set in a dense plantation of trees and overlooked Virginia Water , a man-made body of water constructed by Thomas and Paul Sandby at the request of the Duke .


It is a former royal residence - from 1750 to 1976 - and is best known for being the home of King Edward VIII .

It is a former royal residence - from 1750 to 1976 - and is most famous for being the home of King Edward VIII .


Fix HfFileSystem docstring


Expose method and fix param

A fix + expose a new method, following https://github.com/huggingface/datasets/pull/3670


Fix head_qa data URL

Fix #3758.


Update URL for tagging app

Oh, this URL shouldn't be updated to the tagging app as it's actually used for creating the README - closing this.

This PR updates the URL for the tagging app to be the one on Spaces.


dataset-viewer

Related to the dataset viewer on huggingface.co

## Dataset viewer issue for '*name of the dataset*'

**Link:** *link to the dataset viewer page*

*short description of the issue*

Am I the one who added this dataset ? Yes-No


It's not possible download `20200501.pt` dataset

bug

Something isn't working

Hi @jvanz, thanks for reporting.

Please note that Wikimedia website does not longer host Wikipedia dumps for so old dates.

For a list of accessible dump dates of `pt` Wikipedia, please see: https://dumps.wikimedia.org/ptwiki/

You can load for example `20220220` `pt` Wikipedia:
```python
dataset = load_dataset("wikipedia", language="pt", date="20220220", beam_runner="DirectRunner")
```

> ```python
> dataset = load_dataset("wikipedia", language="pt", date="20220220", beam_runner="DirectRunner")
> ```

Thank you! I did not know that I can do this. I was following the example in the error message when I do not define which language dataset I'm trying to download.

I've tried something similar changing the date in the `load_dataset` call that I've shared in the bug description. Obviously, it did not work. I need to read the docs more carefully next time. My bad!

Thanks again and sorry for the noise.

## Describe the bug
The dataset `20200501.pt` is broken.

The available datasets: https://dumps.wikimedia.org/ptwiki/

## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("wikipedia", "20200501.pt", beam_runner='DirectRunner')
```

## Expected results
I expect to download the dataset locally.

## Actual results
```
>>> from datasets import load_dataset
>>> dataset = load_dataset("wikipedia", "20200501.pt", beam_runner='DirectRunner')
Downloading and preparing dataset wikipedia/20200501.pt to /home/jvanz/.cache/huggingface/datasets/wikipedia/20200501.pt/1.0.0/009f923d9b6dd00c00c8cdc7f408f2b47f45dd4f5fb7982a21f9448f4afbe475...
/home/jvanz/anaconda3/envs/tf-gpu/lib/python3.9/site-packages/apache_beam/__init__.py:79: UserWarning: This version of Apache Beam has not been sufficiently tested on Python 3.9. You may encounter bugs or missing features.
  warnings.warn(
  0%|                                                                                | 0/1 [00:00<?, ?it/s]
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/jvanz/anaconda3/envs/tf-gpu/lib/python3.9/site-packages/datasets/load.py", line 1702, in load_dataset
    builder_instance.download_and_prepare(
  File "/home/jvanz/anaconda3/envs/tf-gpu/lib/python3.9/site-packages/datasets/builder.py", line 594, in download_and_prepare
    self._download_and_prepare(
  File "/home/jvanz/anaconda3/envs/tf-gpu/lib/python3.9/site-packages/datasets/builder.py", line 1245, in _download_and_prepare
    super()._download_and_prepare(
  File "/home/jvanz/anaconda3/envs/tf-gpu/lib/python3.9/site-packages/datasets/builder.py", line 661, in _download_and_prepare
    split_generators = self._split_generators(dl_manager, **split_generators_kwargs)
  File "/home/jvanz/.cache/huggingface/modules/datasets_modules/datasets/wikipedia/009f923d9b6dd00c00c8cdc7f408f2b47f45dd4f5fb7982a21f9448f4afbe475/wikipedia.py", line 420, in _split_generators
    downloaded_files = dl_manager.download_and_extract({"info": info_url})
  File "/home/jvanz/anaconda3/envs/tf-gpu/lib/python3.9/site-packages/datasets/utils/download_manager.py", line 307, in download_and_extract
    return self.extract(self.download(url_or_urls))
  File "/home/jvanz/anaconda3/envs/tf-gpu/lib/python3.9/site-packages/datasets/utils/download_manager.py", line 195, in download
    downloaded_path_or_paths = map_nested(
  File "/home/jvanz/anaconda3/envs/tf-gpu/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 260, in map_nested
    mapped = [
  File "/home/jvanz/anaconda3/envs/tf-gpu/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 261, in <listcomp>
    _single_map_nested((function, obj, types, None, True))
  File "/home/jvanz/anaconda3/envs/tf-gpu/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 196, in _single_map_nested
    return function(data_struct)
  File "/home/jvanz/anaconda3/envs/tf-gpu/lib/python3.9/site-packages/datasets/utils/download_manager.py", line 216, in _download
    return cached_path(url_or_filename, download_config=download_config)
  File "/home/jvanz/anaconda3/envs/tf-gpu/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 298, in cached_path
    output_path = get_from_cache(
  File "/home/jvanz/anaconda3/envs/tf-gpu/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 612, in get_from_cache
    raise FileNotFoundError(f"Couldn't find file at {url}")
FileNotFoundError: Couldn't find file at https://dumps.wikimedia.org/ptwiki/20200501/dumpstatus.json

```

## Environment info
```
- `datasets` version: 1.18.3
- Platform: Linux-5.3.18-150300.59.49-default-x86_64-with-glibc2.31
- Python version: 3.9.7
- PyArrow version: 6.0.1
```


`Dataset.class_encode` should support custom class names

enhancement

New feature or request

Hi @Dref360, thanks a lot for your proposal.

It totally makes sense to have more flexibility when class encoding, I agree.

You could even further customize the class encoding by passing an instance of `ClassLabel` itself (instead of replicating `ClassLabel` instantiation arguments as `Dataset.class_encode_column` arguments).

And the latter made me think of `Dataset.cast_column`...

Maybe better to have some others' opinions @lhoestq @mariosasko

Hi @Dref360! You can use [`Dataset.align_labels_with_mapping`](https://huggingface.co/docs/datasets/master/package_reference/main_classes.html#datasets.Dataset.align_labels_with_mapping) after `Dataset.class_encode_column` to assign a different mapping of labels to ids.

@albertvillanova I'd like to avoid adding more complexity to the API where it's not (absolutely) needed, so I don't think introducing a new param in `Dataset.class_encode_column` is a good idea.

I wasn't aware that it existed thank you for the link.

Closing then!

I can make a PR, just wanted approval before starting.

**Is your feature request related to a problem? Please describe.**

It is often the case that classes are not ordered in alphabetical order. Current `class_encode_column` sort the classes before indexing.
https://github.com/huggingface/datasets/blob/master/src/datasets/arrow_dataset.py#L1235

**Describe the solution you'd like**
I would like to add a **optional** parameter `class_names` to `class_encode_column` that would  be used for the mapping instead of sorting the unique values.

**Describe alternatives you've considered**

One can use map instead. I find it harder to read.
```python
CLASS_NAMES = ['apple', 'orange', 'potato']
ds = ds.map(lambda item: CLASS_NAMES.index(item[label_column]))

# Proposition
ds = ds.class_encode_column(label_column, CLASS_NAMES)
```

**Additional context**

I can make the PR if this feature is accepted.


Know your data for HF hub

New feature or request

Hi @Muhtasham you should take a look at https://huggingface.co/blog/data-measurements-tool and accompanying demo app at https://huggingface.co/spaces/huggingface/data-measurements-tool

We would be interested in your feedback. cc @meg-huggingface @sashavor @yjernite

**Is your feature request related to a problem? Please describe.**
Would be great to see be able to understand datasets with the goal of improving data quality, and helping mitigate fairness and bias issues.

**Describe the solution you'd like**
Something like https://knowyourdata.withgoogle.com/ for HF hub


Unable to view the Gradio flagged call back dataset

Hi @kingabzpro.

I think you need to create a loading script that creates the dataset from the CSV file and the image paths.

As example, you could have a look at the Food-101 dataset: https://huggingface.co/datasets/food101
- Loading script: https://huggingface.co/datasets/food101/blob/main/food101.py

Once the loading script is created, the viewer will show a previsualization of your dataset.

@albertvillanova I don't think this is the issue. I have created another dataset with similar files and format and it works. https://huggingface.co/datasets/kingabzpro/savtadepth-flags-V2

Yes, you are right, that was not the issue.

Just take into account that sometimes the viewer can take some time until it shows the preview of the dataset.
After some time, yours is finally properly shown: https://huggingface.co/datasets/kingabzpro/savtadepth-flags

The problem was resolved by deleted the dataset and creating new one with similar name and then clicking on flag button.

I think if you make manual changes to dataset the whole system breaks.

## Dataset viewer issue for '*savtadepth-flags*'

**Link:** *[savtadepth-flags](https://huggingface.co/datasets/kingabzpro/savtadepth-flags)*

*with the Gradio 2.8.1 the dataset viers stopped working. I tried to add values manually but its not working. The dataset is also not showing the link with the app https://huggingface.co/spaces/kingabzpro/savtadepth.*

Am I the one who added this dataset ? Yes


Rename GenerateMode to DownloadMode

This PR:
- Renames `GenerateMode` to `DownloadMode`
- Implements `DeprecatedEnum`
- Deprecates `GenerateMode`

Close #769.


would such an act of refusal be useful


don't ask me to carry an oily rag like that


butterscotch fudge goes well with vanilla ice cream


she had your dark suit in greasy wash water all year


ambidextrous pickpockets accomplish more


pledge to participate in nevada's aquatic competition


we'll talk over at your office


soil redeposition is evaluated by washing clean swatches with the dirty ones


the groundhog clearly saw his shadow but stayed out only a moment


Premise: Very young girl holding a spoon in a restaurant setting. A child holding a white, plastic spoon. A child smiling as he holds his spoon. A toddler plays with his food.

Hypothesis: Toddler sitting.


Premise: Man driving a moped with a side care with a Jeepney in the background. A young man drives a motorcycle taxi through the streets. A road scene with a van and a man driving. A bike taxi rides down the road.

Hypothesis: A man driving a wheeled motorbike.


Premise: An old man and a child walk together along a pathway near a building. A man with a cane and a boy are walking on a sidewalk. Grandfather and grandchild walking down a path. Two males walking away from a bench.

Hypothesis: A couple having a good time.


Premise: Several individuals are watching a man in a red sweater play a game of golf. The crowd looks on as a man with a red argyle sweater plays golf. Spectators are watching a pro golfing tournament. A man is swinging his club in a game of golf.

Hypothesis: A golfer takes a swing.


Premise: Two women are looking very confused trying to put together an item from the box. Two ladies are sitting on a back deck with a dog in between each other. Two women unpacking something from a box. Two women sitting on a deck.

Hypothesis: Woman opening a package.


Premise: A man helping a woman fix her fishing pole out by what appears to be a lake with a little girl playing next to the small foldable chairs. A man sits at the shore and attends to a fishing rod while a woman and young girl stand next to him. A man helps a woman with her fishing pole next to a lake. A father helps to ready the line for fishing.

Hypothesis: A man baits a hook.


Premise: A girl wearing the number one LaFayette softball uniform is about to throw the ball. A girl in a baseball uniform getting ready to throw the ball at a game. The girl is in a red jersey and pitching a softball at a game. A female softball player pitches the ball.

Hypothesis: Pitcher pitching.


Premise: Three girls run on a grassy field with a building in the background. Three girls are running on a field in front of a fence. Three little girls run on a soccer field. Three girls run in a field outside.

Hypothesis: Children running across a field.


Premise: Adult woman wearing a white wedding dress is standing close to a woman wearing a dark purple suit coat, white blouse and a dark dress talking on her cellphone and touching a basket holding a bouquet of flowers. A woman with a basket of flowers talks on the phone next to a woman in a wedding dress. Woman in Wedding dress with a friend and basket of flowers on a street corner. A large and unhappy woman is in a wedding dress in town.

Hypothesis: A bride stands.


Premise: Two young men, one wearing a blue shirt, one wearing a white shirt, are sitting in a vehicle and laughing. Two men sit inside a car, facing each other and smiling. Two men in a vehicle smiling at one another. Two guys smiling as they sit in a vehicle.

Hypothesis: Men talking.


Input: [Pos] 1B [Who is Eligible] Only first basemen [What it Means]

Output: First Base

Yahoo Public 44923 - Greenbean | Fantasy Baseball | Yahoo Sports


Input: [Pos] 2B [Who is Eligible] Only second basemen [What it Means]

Output: Second Base

Yahoo Public 44923 - Greenbean | Fantasy Baseball | Yahoo Sports


Input: [Pos] 3B [Who is Eligible] Only third basemen [What it Means]

Output: Third Base

Yahoo Public 44923 - Greenbean | Fantasy Baseball | Yahoo Sports


Input: [Pos] SS [Who is Eligible] Only Shortstops [What it Means]

Output: Shortstop

Yahoo Public 44923 - Greenbean | Fantasy Baseball | Yahoo Sports


Input: [Pos] C [Who is Eligible] Only catchers [What it Means]

Output: Catcher

Yahoo Public 44923 - Greenbean | Fantasy Baseball | Yahoo Sports


Input: [Pos] CI [Who is Eligible] Any first or third baseman [What it Means]

Output: Corner Infield

Yahoo Public 44923 - Greenbean | Fantasy Baseball | Yahoo Sports


Input: [Pos] MI [Who is Eligible] Any second baseman or shortstop [What it Means]

Output: Middle Infield

Yahoo Public 44923 - Greenbean | Fantasy Baseball | Yahoo Sports


Input: [Pos] IF [Who is Eligible] Any infielder [What it Means]

Output: Infield

Yahoo Public 44923 - Greenbean | Fantasy Baseball | Yahoo Sports


Input: [Pos] LF [Who is Eligible] Only left fielders [What it Means]

Output: Left Field

Yahoo Public 44923 - Greenbean | Fantasy Baseball | Yahoo Sports


Input: [Pos] CF [Who is Eligible] Only center fielders [What it Means]

Output: Center Field

Yahoo Public 44923 - Greenbean | Fantasy Baseball | Yahoo Sports


Ive never seen a diamond in the flesh
I cut my teeth on wedding rings in the movies
And Im not proud of my address
In a torn-up town, no postcode envy
But every songs like
Gold teeth, Grey Goose, trippin in the bathroom
Bloodstains, ball gowns, trashin the hotel room
We dont care, were driving Cadillacs in our dreams
But everybodys like
Cristal, Maybach, diamonds on your timepiece
Jet planes, islands, tigers on a gold leash
We dont care, we arent caught up in your love affair
And well never be royals
It dont run in our blood
That kind of luxe just aint for us
We crave a different kind of buzz
Let me be your ruler
You can call me queen bee
And baby, Ill rule
Let me live that fantasy
My friends and I, weve cracked the code
We count our dollars on the train to the party
And everyone who knows us knows
That were fine with this, we didnt come from money
But every songs like
Gold teeth, Grey Goose, trippin in the bathroom
Bloodstains, ball gowns, trashin the hotel room
We dont care, were driving Cadillacs in our dreams
But everybodys like
Cristal, Maybach, diamonds on your timepiece
Jet planes, islands, tigers on a gold leash
We dont care, we arent caught up in your love affair
And well never be royals
It dont run in our blood
That kind of luxe just aint for us
We crave a different kind of buzz
Let me be your ruler
You can call me queen bee
And baby, Ill rule
Let me live that fantasy
Were bigger than we ever dreamed
And Im in love with being queen
Life is great without a care
We arent caught up in your love affair
And well never be royals
It dont run in our blood
That kind of luxe just aint for us
We crave a different kind of buzz
Let me be your ruler
You can call me queen bee
And baby, Ill rule
Let me live that fantasy


Wait till youre announced
Weve not yet lost all our graces
The hounds will stay in chains
Look upon Your Greatness and Shell
Send the call out, send the call out
Send the call out, send the call out
Send the call out, send the call out
Send the call out, send the call out
Send the call out, send the call out
Send the call out, send the call out
Send the call out, send the call out
Send the call out, send the call out
Call all the ladies out
Theyre in their finery
A hundred jewels on throats
A hundred jewels between teeth
Now bring my boys in
Their skin in craters like the moon
The moon we love like a brother
While he glows through the room
Dancin around the lies we tell
Dancin around big eyes, as well
Even the comatose
They dont dance and tell
We live in cities youll never see on-screen
Not very pretty, but we sure know how to run things
Livin in ruins of a palace within my dreams
And you know, were on each others team
Im kind of over gettin told to throw my hands up in the air
So there
So all the cups got broke
Shards beneath our feet
But it wasnt my fault
And everyones competing
For a love they wont receive
Cause what this palace wants is release
We live in cities youll never see on-screen
Not very pretty, but we sure know how to run things
Livin in ruins of a palace within my dreams
And you know, were on each others team
Im kind of over gettin told to throw my hands up in the air
So there
Im kind of older than I was when I reveled without a care
So there
We live in cities youll never see on-screen
Not very pretty, but we sure know how to run things
Livin in ruins of a palace within my dreams
And you know, were on each others team
Were on each others team
And you know, were on each others team
Were on each others team
And you know, and you know, and you know


Go for it
One, two
Baby really hurt me, crying in the taxi
He dont wanna know me
Says he made the big mistake of dancing in my storm
Says it was poison
So I guess Ill go home
Into the arms of the girl that I love
The only love I havent screwed up
Shes so hard to please, but shes a forest fire
I do my best to meet her demands, play at romance
We slow dance in the living room
But all that a stranger would see
Is one girl swaying alone, stroking a cheek
They say, Youre a little much for me
Youre a liability
Youre a little much for me
So they pull back, make other plans
I understand, Im a liability
Get you wild, make you leave
Im a little much for e-a-na-na-na, everyone
The truth is I am a toy that people enjoy
Till all of the tricks dont work anymore
And then they are bored of me
I know that its exciting, running through the night
But every perfect summers eating me alive until youre gone
Better on my own
They say, Youre a little much for me
Youre a liability
Youre a little much for me
So they pull back, make other plans
I understand, Im a liability
Get you wild, make you leave
Im a little much for e-a-na-na-na, everyone
Theyre gonna watch me disappear into the sun
Youre all gonna watch me disappear into the sun


I do my makeup in somebody elses car
We order different drinks at the same bars
I know about what you did and I wanna scream the truth
She thinks you love the beach, youre such a damn liar
Well, those great whites, they have big teeth
Hope they bite you
Thought you said that you would always be in love
But youre not in love no more
Did it frighten you
How we kissed when we danced on the light up floor?
On the light up floor
But I hear sounds in my mind
Brand new sounds in my mind
But honey, Ill be seein you ever I go
But honey, Ill be seein you down every road
Im waiting for it, that green light, I want it
Cause honey, Ill come get my things, but I cant let go
Im waiting for it, that green light, I want it
Oh, I wish I could get my things and just let go
Im waiting for it, that green light, I want it
Sometimes I wake up in a different bedroom
I whisper things, the city sings em back to you
Well, those rumours, they have big teeth
Hope they bite you
Thought you said that you would always be in love
But youre not in love no more
Did it frighten you
How we kissed when we danced on the light up floor?
On the light up floor
But I hear sounds in my mind
Brand new sounds in my mind
But honey, Ill be seein you ever I go
But honey, Ill be seein you down every road
Im waiting for it, that green light, I want it
Cause honey, Ill come get my things, but I cant let go
Im waiting for it, that green light, I want it
Oh, honey, Ill come get my things, but I cant let go
Im waiting for it, that green light, I want it
Yes, honey, Ill come get my things, but I cant let go
Im waiting for it, that green light, I want it
Oh, I wish I could get my things and just let go
Im waiting for it, that green light, I want it
Im waiting for it, that green light, I want it
Im waiting for it, that green light, I want it
Im waiting for it, that green light, I want it
Im waiting for it, that green light, I want it
Im waiting for it, that green light, I want it
Im waiting for it, that green light, I want it


The drink you spilt all over me
Lovers Spit left on repeat
My mum and dad let me stay home
It drives you crazy, getting old
We can talk it so good
We can make it so divine
We can talk it good
How you wish it would be all the time
The drink you spilt all over me
Lovers Spit left on repeat
My mum and dad let me stay home
It drives you crazy, getting old
The drink you spilt all over me
Lovers Spit left on repeat
My mum and dad let me stay home
It drives you crazy, getting old
This dream isnt feeling sweet
Were reeling through the midnight streets
And Ive never felt more alone
It feels so scary, getting old
We can talk it so good
We can make it so divine
We can talk it good
How you wish it would be all the time
This dream isnt feeling sweet
Were reeling through the midnight streets
And Ive never felt more alone
It feels so scary, getting old
This dream isnt feeling sweet
Were reeling through the midnight streets
And Ive never felt more alone
It feels so scary, getting old
I want em back, I want em back
The minds we had, the minds we had
How all the thoughts, how all the thoughts
Moved round our heads, moved round our heads
I want em back, I want em back
The minds we had, the minds we had
Its not enough to feel the lack
I want em back, I want em back
I want em
Youre the only friend I need
Sharing beds like little kids
And laughing till our ribs get tough
But that will never be enough
Youre the only friend I need
Sharing beds like little kids
And laughing till our ribs get tough
But that will never be enough
But that will never be enough
But that will never be enough
But that will never be enough
But that will never be enough


Well, summer slipped us underneath her tongue
Our days and nights are perfumed with obsession
Half of my wardrobe is on your bedroom floor
Use our eyes, throw our hands overboard
I am your sweetheart psychopathic crush
Drink up your movements, still I cant get enough
I overthink your p-punctuation use
Not my fault, just a thing that my mind do
A rush at the beginning
I get caught up, just for a minute
But lover, youre the one to blame
All that youre doing
Can you hear the violence?
Megaphone to my chest
Broadcast the boom, boom, boom, boom
And make em all dance to it
Broadcast the boom, boom, boom, boom
And make em all dance to it
Broadcast the boom, boom, boom, boom
And make em all dance to it
Broadcast the boom, boom, boom, boom
And make em all dance to it
Broadcast the boom, boom, boom, boom
And make em all dance to it
Our thing progresses, I call and you come through
Blow all my friendships to sit in hell with you
But were the greatest, theyll hang us in the Louvre
Down the back, but who cares? Still the Louvre
Okay, I know that you are not my type
Im just the sucker who let you fill her mind
Nothing wrong with it, supernatural
Just move in close to me, closer, youll feel it coasting
A rush at the beginning
I get caught up, just for a minute
But lover, youre the one to blame
All that youre doing
Can you hear the violence?
Megaphone to my chest
Broadcast the boom, boom, boom, boom
And make em all dance to it
Broadcast the boom, boom, boom, boom
And make em all dance to it
Broadcast the boom, boom, boom, boom
And make em all dance to it
Broadcast the boom, boom, boom, boom
And make em all dance to it
Broadcast the boom, boom, boom, boom
And make em all dance to it


Dont you think that its boring how people talk?
Making smart with their words again, well, Im bored
Because Im doing this for the thrill of it, killin it
Never not chasin a million things I want
And I am only as young as the minute is, full of it
Getting pumped up on the little bright things I bought
But I know theyll never own me
Baby, be the class clown
Ill be the beauty queen in tears
Its a new art form
Showing people how little we care
Were so happy
Even when were smilin out of fear
Lets go down to the tennis court
And talk it up like, Yeah
Pretty soon, Ill be getting on my first plane
Ill see the veins of my city like they do in space
But my heads fillin up fast with the wicked games, up in flames
How can I fuck with the fun again when Im known?
And my boys trip me up with their heads again, lovin them
Everythings cool when were all in line for the throne
But I know its not forever
Baby, be the class clown
Ill be the beauty queen in tears
Its a new art form
Showing people how little we care
Were so happy
Even when were smilin out of fear
Lets go down to the tennis court
And talk it up like, Yeah
It looked all right in the pictures
Getting caughts half of the trip though, isnt it?
Ill fall apart, with all my heart
And you can watch from your window
And you can watch from your window
Baby, be the class clown
Ill be the beauty queen in tears
Its a new art form
Showing people how little we care
Were so happy
Even when were smilin out of fear
Lets go down to the tennis court
And talk it up like, Yeah
And talk it up like, Yeah
And talk it up like, Yeah
Lets go down to the tennis court
And talk it up like, Yeah
And talk it up like, Yeah
And talk it up like, Yeah
Lets go down to the tennis court
And talk it up like, Yeah


Go back and tell it
Please, could you be tender?
And I will sit close to you
Lets give it a minute before we admit that were through
Guess this is the winter
Our bodies are young and blue
Im at Jungle City, its late and this song is for you
Cause I remember the rush, when forever was us
Before all of the winds of regret and mistrust
Now we sit in your car and our love is a ghost
Well, I guess I should go, yeah, I guess I should go
Hard feelings
These are what they call hard feelings of love
When sweet words and fevers
All leave us right here in the cold, oh, oh
Alone with the hard feelings of love
God, I wish I believed ya
When you told me this was my home, oh, oh
I light all the candles
Cut flowers for all my rooms
I care for myself the way I used to care about you
These days, we kiss and we keep busy
The waves come after midnight
I call from underwater
Why even try to get right?
When youve outgrown a lover
The whole world knows but you
Its time to let go of this endless summer afternoon
Hard feelings
These are what they call hard feelings of love
When sweet words and fevers
All leave us right here in the cold, oh, oh
Alone with the hard feelings of love
God, I wish I believed ya
When you told me this was my home, oh, oh
Three years, loved you every single day
Made me weak, it was real for me, yeah, real for me
Now Ill fake it every single day
Til I dont need fantasy, til I feel you leave
But I still remember everything
How wed drift buying groceries, how youd dance for me
Ill start letting go of little things
Til Im so far away from you, far away from you, yeah
What is this tape?
This is my favorite tape
Bet you wanna rip my heart out
Bet you wanna skip my calls now
Well, guess what? Id like that
Cause Im gonna mess your life up
Gonna wanna tape my mouth shut
Look out, lovers
Were L-O-V-E-L-E-S-S generation
L-O-V-E-L-E-S-S generation
All fuckin with our lovers heads generation
Bet you wanna rip my heart out
Bet you wanna skip my calls now
Well, guess what? Id like that
Cause Im gonna mess your life up
Gonna wanna tape my mouth shut
Look out, lovers
Were L-O-V-E-L-E-S-S generation
L-O-V-E-L-E-S-S generation
All fuckin with our lovers heads generation
L-O-V-E-L-E-S-S generation
L-O-V-E-L-E-S-S generation
L-O-V-E-L-E-S-S generation
L-O-V-E-L-E-S-S generation
L-O-V-E-L-E-S-S


Every night, I live and die
Feel the party to my bones
Watch the wasters blow the speakers
Spill my guts beneath the outdoor light
Its just another graceless night
I hate the headlines and the weather
Im nineteen and Im on fire
But when were dancing, Im alright
Its just another graceless night
Are you lost enough?
Have another drink, get lost in us
This is how we get notorious, oh
Cause I dont know
If they keep tellin me where to go
Ill blow my brains out to the radio, oh-oh-oh
All of the things were taking
Cause we are young and were ashamed
Send us to perfect places
All of our heroes fading
Now I cant stand to be alone
Lets go to perfect places
Every night, I live and die
Meet somebody, take em home
Lets kiss and then take off our clothes
Its just another graceless night cause
All of the things were taking
Cause we are young and were ashamed
Send us to perfect places
All of our heroes fading
Now I cant stand to be alone
Lets go to perfect places
All the nights spent off our faces
Trying to find these perfect places
What the fuck are perfect places anyway?
All the nights spent off our faces
Trying to find these perfect places
What the fuck are perfect places anyway?
All the nights spent off our faces
Trying to find these perfect places
What the fuck are perfect places anyway?


mnli hypothesis: Product and geography are what make cream skimming work.  premise: Conceptually cream skimming has two basic dimensions - product and geography.


mnli hypothesis: You lose the things to the following level if the people recall. premise: you know during the season and i guess at at your level uh you lose them to the next level if if they decide to recall the the parent team the Braves decide to call to recall a guy from triple A then a double A guy goes up to replace him and a single A guy goes up to replace him


mnli hypothesis: A member of my team will execute your orders with immense precision. premise: One of our number will carry out your instructions minutely.


Hypothesis: This information belongs to them.

mnli hypothesis: This information belongs to them. premise: How do you know? All this is their information again.


mnli hypothesis: The tennis shoes have a range of prices. premise: yeah i tell you what though if you go price some of those tennis shoes i can see why now you know they're getting up in the hundred dollar range


mnli hypothesis: I'm upset that my walkman broke and now I have to turn the stereo up really loud. premise: my walkman broke so i'm upset now i just have to turn the stereo up real loud


mnli hypothesis: Most of the Christian mosaics were destroyed by Muslims.   premise: But a few Christian mosaics survive above the apse is the Virgin with the infant Jesus, with the Archangel Gabriel to the right (his companion Michael, to the left, has vanished save for a few feathers from his wings).


mnli hypothesis: Slate had an opinion on Jackson's findings. premise: (Read  for Slate 's take on Jackson's findings.)


Premise: Gays and lesbians.

Hypothesis: Heterosexuals.

mnli hypothesis: Heterosexuals. premise: Gays and lesbians.


mnli hypothesis: Place des Vosges is constructed entirely of gray marble. premise: At the end of Rue des Francs-Bourgeois is what many consider to be the city's most handsome residential square, the Place des Vosges, with its stone and red brick facades.


Context: The re moval of the former, however, is much easier than the overthrow of the latter, and when removed they are not so likely to return.  Still, before these moral stumps are removed, both time and " stumping machine " will have to do their respective work.  In a conversation I had with an old friend of our cause, Mr Naismith of Toronto, he said, " I was one of the first who stood by John Dunlop, when he began to advocate the cause in Glasgow.


Context: Fig.  100 shows a Cornish boiler improperly seated with one small side flue and a bottom flue.  The effect of this on a long boiler is to cause springing and leakage of the seams from the heat being applied to one side of the boiler only.


Context: What a deal of time, trouble, expense, and misery would have been saved to mankind if our legislators had considered more what they were legislating about, those for whom they were legislating, and the effect upon society of their work !  Laws are too apt to be regarded as if intended to supply an income for lawyers, to keep in existence a complicated mass of law courts and legal machinery .  Instead of adding to our laws, the greatest boon to mankind would be for a committee to examine every existing law and cancel all those that are obsolete, or impede the progress, or are detrimental to the interests and freedom, of the individual.


Context: for the best locomotive that could be made.  In October 1829 four different inventors sent engines to compete for the prize.  Stephenson and his son Robert con structed the ' Rocket ' to take part in the competition.


Context: I have a very convenient wide sofa with steel springs, a tolerably large table, upon which I can very well arrange my portfolio, and, over the dressing-table, even the luxury of a mirror.  This cabin, situated on one side of the deck, is much more airy than the saloons below, and the machines work so quietly that I can write without any difficulty.  This I never could do before in any steamer; and it is a great satisfaction to me, because it will materially shorten the unavoidable ennui of the voyage.


Output: hello world!


Context: The embargo was not uniform across Europe. Of the nine members of the European Economic Community (EEC), the Netherlands faced a complete embargo, the UK and France received almost uninterrupted supplies (having refused to allow America to use their airfields and embargoed arms and supplies to both the Arabs and the Israelis), while the other six faced partial cutbacks. The UK had traditionally been an ally of Israel, and Harold Wilson's government supported the Israelis during the Six-Day War. His successor, Ted Heath, reversed this policy in 1970, calling for Israel to withdraw to its pre-1967 borders.

Question: Harold WInston's supported which country's during its six day war?


Context: The embargo had a negative influence on the US economy by causing immediate demands to address the threats to U.S. energy security. On an international level, the price increases changed competitive positions in many industries, such as automobiles. Macroeconomic problems consisted of both inflationary and deflationary impacts. The embargo left oil companies searching for new ways to increase oil supplies, even in rugged terrain such as the Arctic. Finding oil and developing new fields usually required five to ten years before significant production.

Question: Which problem consists of both  inflationary and deflationary impacts?

Macroeconomic problems
Macroeconomic
Macroeconomic
Macroeconomic
Macroeconomic


Context: In 1979, the Soviet Union deployed its 40th Army into Afghanistan, attempting to suppress an Islamic rebellion against an allied Marxist regime in the Afghan Civil War. The conflict, pitting indigenous impoverished Muslims (mujahideen) against an anti-religious superpower, galvanized thousands of Muslims around the world to send aid and sometimes to go themselves to fight for their faith. Leading this pan-Islamic effort was Palestinian sheikh Abdullah Yusuf Azzam. While the military effectiveness of these "Afghan Arabs" was marginal, an estimated 16,000 to 35,000 Muslim volunteers came from around the world came to fight in Afghanistan.

Question: How effective was the military use of the "Afghan Arabs"?


Context: The Rankine cycle and most practical steam engines have a water pump to recycle or top up the boiler water, so that they may be run continuously. Utility and industrial boilers commonly use multi-stage centrifugal pumps; however, other types are used. Another means of supplying lower-pressure boiler feed water is an injector, which uses a steam jet usually supplied from the boiler. Injectors became popular in the 1850s but are no longer widely used, except in applications such as steam locomotives.

Question: What types of pumps are typically used in industrial boilers?

multi-stage centrifugal pumps
multi-stage centrifugal
multi-stage centrifugal


Context: Methodist institutions may be named after a biblical figure (e.g., "St. James UMC"). Methodists also honor notable heroes and heroines of the Christian faith and look to these prominent saints as providing examples of holy living and commitment to Christ that are worthy of imitation (see 1 Corinthians 11:1). Such exemplary saints include martyrs, confessors of the Faith, evangelists, or important biblical figures such as Saint Matthew, Lutheran theologian and martyr to the Nazis Dietrich Bonhoeffer, Salvation Army Founder William Booth, African missionary David Livingstone and Methodism's revered founder John Wesley are among many cited as Protestant saints.

Question: Who is Methodism's revered founder?


Context: Like sponges and cnidarians, ctenophores have two main layers of cells that sandwich a middle layer of jelly-like material, which is called the mesoglea in cnidarians and ctenophores; more complex animals have three main cell layers and no intermediate jelly-like layer. Hence ctenophores and cnidarians have traditionally been labelled diploblastic, along with sponges. Both ctenophores and cnidarians have a type of muscle that, in more complex animals, arises from the middle cell layer, and as a result some recent text books classify ctenophores as triploblastic, while others still regard them as diploblastic.

Question: Ctenophores, cnidarians and what other group are labelled diploblastic?


Double OT
Im a new three
Saucin, saucin, Im saucin on you
Im swaggin, Im swaggin, Im swaggin, oh-ooh
Im ballin, Im ballin, Iverson on you
Watch out, watch out, watch out, yeah
Thats my shot, thats my shot, thats my shot, yeah
Spendin, Im spendin all my fuckin pay
I got me some braids and I got me some hoes
Started rockin the sleeve, I cant ball with no Joes
You know how I do it, Concords on my toes
, ooh
I aint rich yet, but you know I aint broke, I
So if I see it, I like it, buy that from the store, I
Im with some white girls and they lovin the coca
Like they OT
Double OT like Im KD, smokin OG
And you know me, in my 2-3s and my gold teeth
Bitch, Im smiling, bet you see me from the nosebleeds
Im a new three and I change out to my new 3s
White Iverson
When I started ballin, I was young
You gon think about me when Im gone
I need that money like the ring I never won, I won
Saucin, saucin, Im saucin on you
Im swaggin, Im swaggin, Im swaggin, oh-ooh
Im ballin, Im ballin, Iverson on you
Watch out, watch out, watch out, yeah
Thats my shot, thats my shot, thats my shot, yeah
Spendin, Im spendin all my fuckin pay
Ooh, Stoney
Cigarettes and a headband
Commas, commas in my head, man
Slumped over like a dead man
Red and black, bout my bread, man
Im the answer, never question
Lace up, learn a lesson
Bitch, Im saucin , I do this often, dont do no talkin
My options right when I walk in, jump all them Jordans
Im ballin, money jumpin
Like Im Davis from New Orleans
Or bitch Im Harden, I dont miss nothin
Fuck practice, this shit just happens, know yall cant stand it
I have it, I never pass it, I work my magic
High average, ball on these bastards, it makes me happy
Its tragic, I make it happen, and all yall Shaqtin
White Iverson
When I started ballin I was young
You gon think about me when Im gone
I need that money like the ring I never won, I won
Saucin, saucin, Im saucin on you
Im swaggin, Im swaggin, Im swaggin, oh-ooh
Im ballin, Im ballin, Iverson on you
Watch out, watch out, watch out, yeah
Thats my shot, thats my shot, thats my shot, yeah
Spendin, Im spendin all my fuckin pay
Ooh-ooh
Ooh-ooh
Ooh-ooh
Ooh-ooh


Mm-mmm
Yeah, yeah
Mm-mmm
Yeah
My momma called, seen you on TV, son
Said shit done changed ever since we was on
I dreamed it all ever since I was young
They said I wouldnt be nothing
Now they always say, Congratulations
Worked so hard, forgot how to vacation
They aint never had the dedication
People hatin, say we changed and look, we made it
Yeah, we made it
They was never friendly, yeah
Now Im jumping out the Bentley, yeah
And I know I sound dramatic, yeah
But I know I had to have it, yeah
For the money, Im a savage, yeah
I be itching like a addict, yeah
Im surrounded, twenty bad bitches, yeah
But they didnt know me last year, yeah
Everyone wanna act like they important
But all that mean nothing when I saw my dough, yuh
Everyone countin on me, drop the ball, yuh
Everything custom like Im at the border, yeah, yeah
If you fuck with winning, put your lighters to the sky
How could I make cents when I got millions on my mind?
Coming with that bullshit, I just put it to the side
Balling since a baby, they could see it in my eyes
My momma called, seen you on TV, son
Said shit done changed ever since we was on
I dreamed it all ever since I was young
They said I wouldnt be nothing
Now they always say, Congratulations
Worked so hard, forgot how to vacation
They aint never had the dedication
People hatin, say we changed and look we made it
Yeah, we made it
I was patient
I was patient
Now I can scream that we made it
Now everywhere, everywhere I go, they say gratulation
Young nigga, young nigga, graduation
I pick up the rock and I ball, baby
Im looking for someone to call, baby
But right now, I got a situation
Never old Ben-Ben Franklins
Big rings , champagne
My life is like a ball game
But instead, Im in the trap though
Pot so big, call it Super Bowl
Super Bowl, call the hoes , get in the Rolls
Top-floor lifestyle , Huncho and Post
Malone , I gotta play on my phone
You know what Im on , Huncho Houdini is gone
My momma called, seen you on TV, son
Said shit done changed ever since we was on
I dreamed it all ever since I was young
They said I wouldnt be nothing
Now they always say, Congratulations
Worked so hard, forgot how to vacation
They aint never had the dedication
People hatin, say we changed and look we made it
Yeah, we made it
Hey, hey, hey, hey
Hey, hey, hey, hey


Ooh, I fall apart
Ooh, yeah, mmm, yeah
She told me that Im not enough
And she left me with a broken heart
She fooled me twice and its all my fault
She cut too deep, now she left me scarred
Now theres so many thoughts goin through my brain
And now Im takin these shots like its Novocaine, yeah
Ooh, I fall apart
Down to my core
Ooh, I fall apart
Down to my core
Ooh, didnt know it before
Surprised when you caught me off guard
All this damn jewelry I bought
You was my shorty, I thought
Never caught a feelin this hard
Harder than the liquor I pour
Tell me you dont want me no more
But I cant let go, everybody told me so
Feelin like I sold my soul
Devil in the form of a whore
Devil in the form of a whore
You said it, no, you said it
No, you said that shit, wed be together, oh
Ooh, I fall apart
Down to my core
Ooh, I fall apart
Down to my core
Ooh, didnt know it before
Surprised when you caught me off guard
All this damn jewelry I bought
You was my shorty, I thought
Ice keep pourin and the drink keep flowin
Try to brush it off, but it keep on goin
Covered in scars and I cant help showin
Whippin in the foreign and the tears keep rollin
Ice keep droppin and the drink keep flowin
Try to brush it off, but it keep on goin
All these scars, cant help from showin
Whippin in the foreign and the tears keep blowin, yeah
Ooh, I fall apart
Down to my core
Ooh, I fall apart
Down to my core
Ooh, didnt know it before
Surprised when you caught me off guard
All this damn jewelry I bought
You was my shorty, I thought


Ayy, ayy, ayy, ayy
Ooh, ooh, ooh, ooh
Ayy, ayy
Ooh, ooh, ooh, ooh
Needless to say, I keep in check
She was a bad-bad, nevertheless
Callin it quits now, baby, Im a wreck
Crash at my place, baby, youre a wreck
Needless to say, Im keeping in check
She was a bad-bad, nevertheless
Callin it quits now, baby, Im a wreck
Crash at my place, baby, youre a wreck
Thinkin in a bad way, losin your grip
Screamin at my face, baby, dont trip
Someone took a big L, dont know how that felt
Lookin at you sideways, party on tilt
Ooh-ooh, some things you just cant refuse
She wanna ride me like a cruise and Im not tryna lose
Then youre left in the dust, unless I stuck by ya
Youre a sunflower, I think your love would be too much
Or youll be left in the dust, unless I stuck by ya
Youre the sunflower, youre the sunflower
Every time Im leavin on ya
You dont make it easy, no
Wish I could be there for ya
Give me a reason to, oh
Every time Im walkin out
I can hear you tellin me to turn around
Fightin for my trust and you wont back down
Even if we gotta risk it all right now, oh
I know youre scared of the unknown
You dont wanna be alone
I know I always come and go
But its out of my control
And youll be left in the dust, unless I stuck by ya
Youre the sunflower, I think your love would be too much
Or youll be left in the dust, unless I stuck by ya
Youre the sunflower, youre the sunflower


You prolly think that you are better now, better now
You only say that cause Im not around, not around
You know I never meant to let you down, let you down
Woulda gave you anything, woulda gave you everything
You know I say that I am better now, better now
I only say that cause youre not around, not around
You know I never meant to let you down, let you down
Woulda gave you anything, woulda gave you everything
Oh-oh
I did not believe that it would end, no
Everything came second to the Benzo
Youre not even speakin to my friends, no
You knew all my uncles and my aunts though
Twenty candles, blow em out and open your eyes
We were lookin forward to the rest of our lives
Used to keep my picture posted by your bedside
Now its in your dresser with the socks you dont like
And Im rollin, rollin, rollin, rollin
With my brothers like its Jonas, Jonas
Drinkin Henny and Im tryna forget
But I cant get this shit outta my head
You prolly think that you are better now, better now
You only say that cause Im not around, not around
You know I never meant to let you down, let you down
Woulda gave you anything, woulda gave you everything
You know I say that I am better now, better now
I only say that cause youre not around, not around
You know I never meant to let you down, let you down
Woulda gave you anything, woulda gave you everything
Oh-oh
I seen you with your other dude
He seemed like he was pretty cool
I was so broken over you
Life, it goes on, what can you do?
I just wonder what its gonna take
Another foreign or a bigger chain
Because no matter how my life has changed
I keep on looking back on better days
You prolly think that you are better now, better now
You only say that cause Im not around, not around
You know I never meant to let you down, let you down
Woulda gave you anything, woulda gave you everything
You know I say that I am better now, better now
I only say that cause youre not around, not around
You know I never meant to let you down, let you down
Woulda gave you anything, woulda gave you everything
Oh-oh
I promise
I swear to you, Ill be okay
Youre only the love of my life
You prolly think that you are better now, better now
You only say that cause Im not around, not around
You know I never meant to let you down, let you down
Woulda gave you anything, woulda gave you everything
You know I say that I am better now, better now
I only say that cause youre not around, not around
You know I never meant to let you down, let you down
Woulda gave you anything, woulda gave you everything
Oh-oh


RT @_LexC__: I'm convinced that some of y'all bitches get pregnant purposely because "birth control & plan b pills" are effective 😕🐸☕


RT @iBeZo: Stupid fucking nigger LeBron. You flopping stupid jungle bunny monkey faggot.


76 So.3d 877 (2010)
EX PARTE DARIUS CHRISTOPHER JOHNSON.

DECISION WITHOUT PUBLISHED OPINION
Cert.


Altered expression of gelatinase and surface-associated plasminogen activator activity by trophoblast cells isolated from placentas of preeclamptic patients.

This study compared in vitro degradative properties of trophoblasts isolated from placentas of preeclamptic patients with those of trophoblasts isolated from placentas of patients with uncomplicated pregnancies.

Specifically, the expression of gelatinases, plasminogen activators, and plasminogen activator inhibitor type 1 by these cells was examined.

Gelatinase and plasminogen activator secretion were determined by zymography, whereas antigenic levels of urinary-type plasminogen activator and plasminogen activator inhibitor type 1 in culture-conditioned medium were determined by enzyme-linked immunosorbent assay.

We also evaluated expression of cell-surface plasminogen activator activity with a sensitive assay that uses the fluorescent plasmin substrate H-D-Val-Leu-Lys-7-amino-4-methylcoumarin.

Cells from both normal and preeclamptic placentas secreted variable levels of gelatinase, of which the most predominant was matrix metalloproteinase-9 (gelatinase B).

In 60% of the media conditioned by preeclamptic cells the matrix metalloproteinase-9 present was exclusively of a higher molecular weight (> 92 kd) than the predominant enzyme secreted by trophoblasts isolated from normal placentas.

Incubation of the preeclamptic cell culture-conditioned media with p-aminophenylmercuric acetate, an activator of metalloproteinases, resulted in a decrease in the apparent molecular weight of the enzyme, indicating that most of the matrix metalloproteinase-9 contained in these samples was in the inactive form.

Although trophoblasts from normal and preeclamptic placentas secreted similar amounts of urinary-type plasminogen activator and plasminogen activator inhibitor type 1, the latter cells expressed significantly less (p < 0.001) cell surface plasminogen activator activity.

These results suggest that abnormal uteroplacental blood flow in preeclampsia (as a result of either shallow invasiveness of the uterine arteries or excessive fibrin deposition within the intervillous spaces) might result from altered expression of active proteinases by trophoblasts.


My Jealous God

My Jealous God were a British Indie music band from South London who had a recording career from 1989 to 1992, first on Rough Trade Records and then Fontana Records.

The founder and lead singer was Jim Melly.

Other band members were Danny Burke (Lead Guitar), Chris O'Donnell (Bass) and Andrew Barkley (Drums).

The band released three singles: "Everything About You" (July 1990), "Pray" (October 1990) and "Easy" (February 1992), made several live appearances, famously once supported by Release at The Venue, New Cross and recorded a session for Mark Goodier's BBC Radio 1 show, but did not release an album.

They did, however, record an album that was shelved before it could be released because the group had disbanded.

A fourth single, a re-recorded version of "Pray" with new lyrics was pressed but withdrawn (April 1992), although some copies have since surfaced.

A video was released for the original release of "Pray".

The band received some criticism for being London-based and appearing to make music similar to the 'Madchester' scene of the time.

Founder Jim Melly became a Professor of Popular Culture and wrote a history of The Faces pop group.

Christopher O'Donnell is an award-winning journalist for the Tampa Bay Times.

Discography
"Pray" (1990), Rough Trade
"Everything About You" (1990), Rough Trade
"Easy" (1992), Fontana
"Pray" (1992), Fontana

References

External links
Birdpoo [dead link]

Category:British indie rock groups
Category:Musical groups from London
Category:Musical groups established in 1989
Category:Musical groups disestablished in 1992