d*****r
发帖数: 39446 | 1 【此篇文章是由自动发信系统所张贴】
⊙ 博彩开启于：Thu May 12 13:56:10 2016 类别：单选
⊙ 主题：NHL晋级对砍：TBL vs PIT
⊙ 博彩题目描述：
May 13, 5pm ET 封盘
【选项如下】
(1) 闪电晋级
(2) 企鹅晋级 |
|
d*****r
发帖数: 39446 | 2 【此篇文章是由自动发信系统所张贴】
⊙ 博彩开启于：Tue May 24 11:05:11 2016 类别：单选
⊙ 主题：NHL: PIT > TBL @1.70
⊙ 博彩题目描述：
5ET封盘
【选项如下】
(1) 玩家
(2) 赌场
(3) 没收 |
|
m******r
发帖数: 1033 | 3 X = data.table(x=c("c","b"), v=8:7, foo=c(4,2))
DT = data.table(x=rep(c("b","a","c"),each=3), y=c(1,3,6), v=1:9)
dt.tbl> DT[X, on=.(y>=foo)]
答案是：
x y v i.x i.v
1: b 4 3 c 8
2: a 4 6 c 8
3: c 4 9 c 8
4: b 2 2 b 7
5: a 2 5 b 7
6: c 2 8 b 7
7: b 2 3 b 7
8: a 2 6 b 7
9: c 2 9 b 7 |
|
|
i*****w
发帖数: 75 | 5 Use Partition and if you have the ID indexed, it should be very fast. Try
the example here and you can change it according to your table structure.
declare @tbl Table(id INT identity, name varchar(30), isActive bit)
insert into @tbl values('Product One', 1)
insert into @tbl values('Product One', 1)
insert into @tbl values('Product One', 1)
insert into @tbl values('Product Two', 1)
insert into @tbl values('Product Two', 1)
insert into @tbl values('Product Three', 1)
insert into @tbl values('Produ... 阅读全帖 |
|
o******n
发帖数: 511 | 6 不好意思，我帖子没写清楚，这个是实际的数据，我就把那些数值变成整数而已。
我刚发现我昨天写的是对的，但我把意思理解错了，要算的不是访问一次的用户的百分
比而是两次的，怪不得我说数字怎么老对不上。
这是我自己现在改写好的。
这里和别人join
(select t1.client, t1.month, avg(t1.p) as percent_users_returning_once
from (select tbl.client, tbl.site, tbl.month,
case
when sum(tbl.uu)=0
then null
when sum(tbl.uu) is null
then null
else cast(sum(case when tbl.visit_count=2 then tbl.uu when tbl.
visit_count=1 then 0 when tbl.visit_count>2 then 0 end) a... 阅读全帖 |
|
p*****o
发帖数: 1285 | 7 T里的元素都放在hashtable的queue里，后面每多加一个前面就拿走一个。这是我最初O
(kn)的code，后来的都没有存。为了方便用的是STL里的map，比hashtable慢一点。
class Solution {
public:
string minWindow(string S, string T) {
// Start typing your C/C++ solution below
// DO NOT write int main() function
map > tbl;
int ct = 0; // counter to find the first full set
int lowest; // lowest index of current set
for (int i=0; i
if (tbl.find(T[i]) == tbl.end()) tbl[T[i]] ... 阅读全帖 |
|
i*****w
发帖数: 75 | 8 Try this:
--Last Week means SUNDAY - SATURDAY
declare @tbl table (name varchar(30), dt datetime )
insert into @tbl values('Apple', '2011/11/1')
insert into @tbl values('Apple', '2011/11/2')
insert into @tbl values('Apple', '2011/11/4')
insert into @tbl values('Orange', '2011/11/10')
insert into @tbl values('Orange', '2011/11/5')
insert into @tbl values('Apple', '2011/11/6')
insert into @tbl values('Banana', '2011/11/10')
SELECT NAME, COUNT(*) as Total_Count, SUM(case when dt between DATEADD(dd, ... 阅读全帖 |
|
i*****w
发帖数: 75 | 9 Still the Pivot function.
Declare @tbl Table (CM Varchar(10), CN Varchar(10), CL Varchar(10))
INSERT INTO @tbl(CM, CN, CL)
VALUES('M1','N1','A')
INSERT INTO @tbl(CM, CN, CL)
VALUES('M1','N1','C')
INSERT INTO @tbl(CM, CN, CL)
VALUES('M3', 'N3', 'B')
INSERT INTO @tbl(CM, CN, CL)
VALUES('M3', 'N3', 'D')
INSERT INTO @tbl(CM, CN, CL)
VALUES('M4','N4','A')
Select * FROM @tbl
SELECT CM, CN, A as CA, B as CB, C as CC, D as CD
FROM
(
select CM, CN, CL from @tbl
)p
PIVOT
(MAX(CL) for CL IN (A,... 阅读全帖 |
|
i*****w
发帖数: 75 | 10 This is a Pivot/UnPivot problem:
Declare @tbl Table (CM Varchar(10), CN Varchar(10), CA Varchar(10), CB
Varchar(10), CC Varchar(10) , CD Varchar(10))
INSERT INTO @tbl(CM, CN, CA, CC)
VALUES('M1','N1','A','C')
INSERT INTO @tbl(CM, CN)
VALUES('M2', 'N2')
INSERT INTO @tbl(cm, cn, cb, cd)
VALUES('M3', 'N3', 'B', 'D')
INSERT INTO @tbl(cm, cn, ca)
VALUES('M4','N4','A')
Select * FROM @tbl
SELECT CM, CN, Value as CL
FROM
(
Select CM, CN, CA, CB, CC, CD FROM @tbl
)p
UNPIVOT
(Value FOR CL IN ... 阅读全帖 |
|
i*****w
发帖数: 75 | 11 The following query should be able to handle the situation that the status
changes back to previous one, for example, see acct2 below, the status
changes back to B on day 8.
No Partition By ( Sorry Beijing :)
CREATE TABLE #tbl (acct varchar(10), Stat varchar(20), NoOfDay int)
INSERT INTO #tbl(acct, stat, NoOfDay)
SELECT 'Acct1', 'A', 1
UNION
SELECT 'Acct1', 'B', 5
UNION
SELECT 'Acct1', 'C', 8
UNION
SELECT 'Acct1', 'D', 9
UNION
SELECT 'Acct2', 'A', 2
UNION
SELECT 'Acct2', 'B', 3
UNION
SELECT 'Acc... 阅读全帖 |
|
i*****w
发帖数: 75 | 12 Simple SQL scripts should be able to handle this situation:
Set NOCOUNT ON
CREATE TABLE #tbl(id INT, LineItem Varchar(100))
DECLARE @i INT
SET @i =1
WHILE @i <= 2000
BEGIN
INSERT INTO #tbl
SELECT @i, 'This is line ' + CAST(@i as varchar(20))
SET @i = @i + 1
END
Declare @n1 varchar(20), @n2 varchar(20)
SET @n1 = '50'
SET @n2 = '700'
Declare @SQLToExecute varchar(4000)
SET @SQLToExecute = 'SELECT * FROM ( SELECT TOP ' + @n2 + ' * FROM #tbl
ORDER BY ID) a EXCEPT SELECT * FROM ( SELECT TOP ' + @n1 ... 阅读全帖 |
|
i*****w
发帖数: 75 | 13 Method 1: Row_Number, Partition by
Method 2: Assume there are no duplicated records for each group so Col1 and
Col3 are unique:
Declare @tbl Table (col1 varchar(10), col2 varchar(10), col3 int)
INSERT INTO @tbl (col1, col2, col3)
SELECT 'A', 'S', 4 UNION ALL
SELECT 'A', 'T', 12 UNION ALL
SELECT 'A', 'U', 14 UNION ALL
SELECT 'A', 'V', 6 UNION ALL
SELECT 'A', 'W', 9 UNION ALL
SELECT 'A', 'X', 17 UNION ALL
SELECT 'A', 'Y', 23 UNION ALL
SELECT 'A', ... 阅读全帖 |
|
o****o
发帖数: 8077 | 14 > tbl<-read.table('c:/testtble.txt', header=T)
> tbl
ID1 ID2 var1 var2 var3
1 A 1 10 44 1
2 A 1 10 44 2
3 A 2 11 3 3
4 A 2 11 3 4
5 B 3 12 4 5
6 B 3 12 4 6
7 B 4 20 10 7
> tbl[!duplicated(tbl[,-5]),]
ID1 ID2 var1 var2 var3
1 A 1 10 44 1
3 A 2 11 3 3
5 B 3 12 4 5
7 B 4 20 10 7
>
> |
|
f*********r
发帖数: 68 | 15 写了一个O(log5(N))的算法, 不过好像还有更快的!
int n;
int tbl[] = {1, 1, 2, 6, 4, 4, 4, 8, 4, 6};
int tbl2[][4] = {{}, {2, 6, 8, 4}, {4, 2, 6, 8}, {6, 8, 4, 2}, {8, 4, 2, 6}};
int fun(int n) {
if(n<5) return tbl[n];
int k = (fun(n/5)*tbl[n%10]*6)%10;
return tbl2[k/2][(n/5)%4];
}
void solve() {
int res;
res = fun(n);
cout<
}
int main(){
freopen("in.txt", "r", stdin);
while(cin>>n) {
solve();
}
} |
|
i*****w
发帖数: 75 | 16 Declare @tbl TABLE (dt datetime, ID varchar(2), value int)
INSERT INTO @tbl(dt, ID, value)
SELECT '10/20/2011', 'a', 3
UNION ALL
SELECT '10/21/2011', 'a', 2
UNION ALL
SELECT '10/22/2011', 'a', 1
UNION ALL
SELECT '10/23/2011', 'a', 2
UNION ALL
SELECT '10/20/2011', 'b', 2
UNION ALL
SELECT '10/21/2011', 'b', 3
UNION ALL
SELECT '10/22/2011', 'b', 4
UNION ALL
SELECT '10/23/2011', 'b', 5
UNION ALL
SELECT '10/20/2011', 'c', 2
UNION ALL
SELECT '10/21... 阅读全帖 |
|
i*****w
发帖数: 75 | 17 Try this:
DECLARE @tbl Table (userID int , StartDT datetime, EndDT datetime)
INSERT INTO @tbl (userID, StartDT, EndDT)
Select 1, '12/02/2011', '01/16/2012'
UNION ALL
Select 1, '03/04/2012', '03/24/2012'
UNION ALL
Select 1, '04/05/2012', '04/26/2012'
UNION ALL
Select 1, '05/14/2012', '06/07/2012'
UNION ALL
Select 2, '03/05/2012', '03/30/2012'
UNION ALL
Select 2, '08/04/2012', '09/15/2012'
UNION ALL
Select 2, '04/01/2012', '04/30/2012'
UNION ALL
Select 3, ... 阅读全帖 |
|
s******u
发帖数: 501 | 18 百分之百legal的C++程序，看你能不能理解这是在说什么
name = fhicl::ass [ _val = qi::_1 ];
qualname = fhicl::ass [ _val = qi::_1 ]
>> *((char_('.') > fhicl::ass) [ _val += qi::_1 +
qi::_2 ]
| (char_('[') > fhicl::uint > char_(']')) [ _val += qi::_1
+ qi::_2 + qi::_3]
); // TODO: only some whitespace permitted
// TODO: no whitespace permitted
localref = lit("@local::") > qualname [ _val = qi::_1 ];
dbref = li... 阅读全帖 |
|
d*********t
发帖数: 4393 | 19 http://xinu.jinbushe.org/index.php?doc-view-2905.html
编者按
这种谣言本身没什么，太多了，背后推手很难讲，各种人都有，既有自备干粮的蠢货西
奴粉丝，也有确实是拿工资的中情局资助的各种机构的水军推手。这里的重点其实在于
一位网友的评价：“说明南都已经不能满足pussy派的胃口了，pussy派将抛弃南都，创
建猫眼周末报。”也就是说，这件事情的关键在于 “西奴煽动戾气自食其果：小西奴
粉丝魔鬼反噬”，我们就此会做个简单汇总梳理。就这事本身评价其实很简单：中国有
贱民，贱民是脑残。
需要补充说明的是，这里的“贱民”不是平民和精英对立意义上的这种含义，而是指的
是被逆向种族主义影响的西奴及其粉丝，他们里面可能也是所谓的精英，比如笑蜀、李
承鹏、于建嵘、程益中、张鸣、陈志武等，其本质特征是为了妖魔化自己的祖国，把它
塑造成需要西方解救的地狱，而故意糟践自己，称自己是 “屁民”、“贱民”，从而
描绘出这个国家如何对自己不公，进而给自己膜拜谄媚西方提供合法性。
没有中逆向种族主义毒的普通中国人，对政府错误行为正常合理的批评，当然不在此列
。因为他... 阅读全帖 |
|
k********g
发帖数: 278 | 20 BREADMAN的面包机，其实都是他MANUAL上的方子，过去几个礼拜试了试，觉得不错，推
荐下：
EGG BREAD:
EGG, 3
WATER 43-46 Deg C， 1 and 1/4 cup +2 TBL
oil 1/4 cup
sugar 3TBL
salt 1 and 1/2 tsp
bread flour 4 cups
RED STAR QUICK RISE 4 tsp
家里没有QUICK RISE，就用的普通酵母，就是把混合液体到进去后，放置15分钟左右，
发一发，然后再放面粉。口味很像家乡小时候吃的坨坨馍。。。。呵呵
ITALIAN HERB BREAD
WATER 43-46 Deg C 1 and 1/2 cup +2 TBL
oil 6TBL
sugar 3TBL
salt 1 and 1/2 tsp
Italian seasoning 2TBL
bread flour 4 cups
RED STAR QUICK RISE 4 and 1/2 tsp
家里没有QUICK RISE，就用的普通酵母，就是把混合液体到进去后，放置15分钟左右，
然后再放面粉。... 阅读全帖 |
|
r******n
发帖数: 170 | 21 我随便说说，看是否有大牛出来吧
1. format存成file或者db table,存的内容基本就是user id(unique)的friend关系，
比如file每行 1 2就表示user1和user2是friend
2.file存在io问题，interface上得自己重新建立datastructure来提供常见的function
,同时这也是优势，更灵活，有完全控制权；可以像读triangle mesh一样读进来，然后
建立mesh；db通常有先有工具，只需考虑table schema的设计，有index等手段优化
search等功能；db易于数据同步，备份，建立db cluster, load balance等常见手段
3. 两个数组按照user id升序排列，找相同id,O(m+n)遍历，可以找完
4. tableName:Connection, 两个column friendStart, friendEnd,都用来存放userId,
两个column都是index
select distinct friend from (
select friendEnd from Conn... 阅读全帖 |
|
j********e
发帖数: 1192 | 22 不考虑performance，可以:
select t1.sid, count(*) n from tbl t1,
(select pid from tbl where sid=x) t2
where t1.pid = t2.pid and t1.sid != x group by t1.sid
order by n desc limit 1;
supplier |
|
m****i
发帖数: 1982 | 23 儿医说要在喂奶有１个半小时后喂，１／２tbl+ 2 once milk.这个有那么严格吗？我
想在宝宝临睡前最后面一顿的奶里面加1/2 tbl米糊喂他，这样他可以睡得好一些。他
最后一顿通常会吃的比较多，130~到170ml.是不是可以呢？ |
|
n*****t
发帖数: 32 | 24 这两家中档时尚店似乎都是income上升，revenue下降。是不是促销搞得太多？如果这
个猜想成立，consumer discretionary板块里面应该有很多可以烧的，特别是有preER
run的，ER之后多半是惨跌。
我是青蛙，欢迎拍砖。
TBL现在跌了9.8%了。
(RTTNews) - The Timberland Co. (TBL: News ) reported an increase in fourth-
quarter net income to $22.25 million or $0.40 per share from $13.14 million
or $0.23 per share a year ago. On average, 6 analysts polled by Thomson
Reuters expected earnings per share of $0.37 for the quarter. Analysts'
estimate typically excludes one-time items.
Revenue for the fourt |
|
s******n
发帖数: 518 | 25 沪上手记：在这座城市，申花没有客场
歐洲金靴張玉杰
11.27 12:15
阅读 72995
“呦，看球来哒？侬哪里滴呀？”
“北方来的”
“看好哪个哈？”
我望了望他后窗巨大的申花队徽，“申花吧。”
“唉，森户难喔，还四嗓钢厉害些。”
25日晚，在虹桥机场国内到达，出门即迎来一辆“模子”师傅的出租车，途中违心地聊
罢，愈感26日上港的冠军应是囊中之物了——携上港围巾飞了一千多公里，我可是来见
证红色海洋拥抱金杯的！倒是决赛日来袭，上海滩的那一抹抹申花蓝，却格外引人眼球。
（在上海随处可见的申花元素，这种将申花标志外露的球迷，被申花死忠称为“模子”
、“老卵”）
七天之前败走虹口，令上港的队史首冠形势极不明朗。但是在舆论场仍然有诸多行家与
球迷看好回归主场的上港实现翻盘。原因无他：联赛总比分9比2双杀申花，本季八万人
主场战绩可怖。
但是似乎也有太多人忘了，自被浦和红钻于亚冠淘汰后，红鹰便再未在气氛浓烈的上体
赢过球。同时，一个更容易被外界疏忽的软性因素：所谓“主场”，成为了今夜次回合
决赛上港集团突遇的滑铁卢。
【这不是八万人，这是虹口plus】
在一周前的虹口惜败后，上港集团内部便... 阅读全帖 |
|
c**t
发帖数: 2744 | 26 1) select * from TBL
where email = 'w*****[email protected]'
2) select * from TBL
where like 'w*****[email protected]'
Time: 1) 00:00:01 2) 00:00:04
My observation is = faster for this case. |
|
m*****e
发帖数: 4193 | 27 比如我有个table，只有两个column A和B
现在我想做如下判断：
1. 是否A>10的entry的数量大于X
2. 是否B<20的entry的数量大于Y
要求用一个SELECT query判断1和2 至少有一个成立。
如果光是1，很容易：
SELECT COUNT(1) > X FROM tbl WHERE A > 10;
如果光是2，也很容易：
SELECT COUNT(1) > Y FROM tbl WHERE B < 20;
可是两个combine起来，怎么写？注意要一个query，最后返回一行，0 or 1。 |
|
a*******y
发帖数: 99 | 28 要是SQL SERVER的话，
SELECT CASE WHEN (p1>X or p2>Y) THEN 1 ELSE 0 END
from (select count(*) as p1 FROM tbl WHERE A > 10) AS d1,
(select count(*) as p2 FROM tbl WHERE B < 20) AS d2; |
|
a*******y
发帖数: 99 | 29 要是SQL SERVER的话，
SELECT CASE WHEN (p1>X or p2>Y) THEN 1 ELSE 0 END
from (select count(*) as p1 FROM tbl WHERE A > 10) AS d1,
(select count(*) as p2 FROM tbl WHERE B < 20) AS d2; |
|
B*****g
发帖数: 34098 | 30 ***Ban Er Zhuan is welcome***
1. why orderno 3 is in 08/30/02--09/10/02?
2.please provide database structure and index for a better solution
3. my sql statemnt (change date to 06/30/02--09/10/02)
SELECT *
FROM TBL t1
WHERE NOT EXISTS ( SELECT 1
FROM TBL t2
WHERE t2.OrderNo = t1.OrderNo
AND (
(((t2.Status != 99) OR (t2.Status IS NULL))
AND ((t2.LineType != 'T') OR (t2.LineType IS NULL)))
|
|
a*******s
发帖数: 324 | 31 select username, group_concat(itemname) from tbl group by username
if you want to only concatenate the unique values, then
select username, group_concat(distinct itemname order by itemname separator
',') from tbl group by username
check your mysql version. |
|
j*****n
发帖数: 1781 | 32 简单点说吧：
in QA:
SELECT * FROM tbl where startDate BETWEEN '2001-1-1', '2001-6-1'
in SP:
SELECT * FROM tbl where startDate BETWEEN @startDate, @endDate |
|
e*u
发帖数: 17 | 33 select * from tbl
where id not in
(select id from tbl where callresult is not null) |
|
B*****g
发帖数: 34098 | 34 如果我没记错，not exists 可以return null。当然performance很烂。
select * from tbl a
where not exists
(select b.id from tbl b where b.id = a.id and b.callresult is not null) |
|
M*****r
发帖数: 1536 | 35 select t2.r2, SUM(t1.val)
from
(select ROW_NUMBER() over (order by id) as r1 , val, id from tbl) t1,
(select ROW_NUMBER() over (order by id) as r2 from tbl) t2
where t1.r1 <= t2.r2
group by t2.r2 |
|
e****7
发帖数: 4387 | 36 update tbl
set 序号=条码
先把tbl backup 吧，以防万一 |
|
o******n
发帖数: 511 | 37 这个表长这样：
client site month visit_count uu
2 1 2011-01-01 1 300
2 1 2011-01-01 1 100
2 1 2011-01-01 1 100
2 2 2011-01-01 2 150
2 2 2011-01-01 2 50
2 3 2011-01-01 2 50
2 2 2011-01-01 3 400
2 3 2011-01-01 3 120
2 3 2011-01-01 3 120
2 3 2011-01-01 4 420
uu是unique users
每个client有好几个site，每个site每个月里，visit_count从1到很多，每个visit_
count对应一个uu数
有两句sql query计算每个visit_count对应的uu数和pe... 阅读全帖 |
|
s****e
发帖数: 54 | 38 define @Sum integer
set @Sum=(select sum(uu) from tbl where client = ** and visit_count > 0
and month = ** and site = ** )
select visit_count - 1 as visit_count, uu, (1.0 * uu/ (1.0 * @SUM)) * 100 as
per from tbl where client = ** and visit_count > 1 and month = ** and site
= ** |
|
|
n*****t
发帖数: 41 | 40 谢谢，文件如下。我只要读取最后一个数，就是那个likelihood的数值。
MERLIN 1.1.2 - (c) 2000-2007 Goncalo Abecasis
References for this version of Merlin:
Abecasis et al (2002) Nat Gen 30:97-101 [original citation]
Fingerlin et al (2004) AJHG 74:432-43 [case selection for
association studies]
Abecasis and Wigginton (2005) AJHG 77:754-67 [ld modeling, parametric
analyses]
Fingerlin et al (2006) Gen Epidemiol 30:384-96 [sex-specific maps]
Chen and Abecasis (2007) AJHG 81:913-26 [qtl assoc... 阅读全帖 |
|
Y****a
发帖数: 243 | 41 t<-read.table('C:\user_item_dt.txt',sep=',',header=TRUE,stringsAsFactor=
FALSE)
t$dt<-as.Date(t$date,'%m/%d/%y')
t.tbl<- table(t)
t.freq <- margin.table(t.tbl,1)
ans <- data.frame(t.freq) |
|
|
R********k
发帖数: 461 | 43
等TBL搞活动我一口气收了 可惜这么久了 都没40%off出来了 |
|
|
c**t
发帖数: 2744 | 45 delete TBL WHERE ... RETURNING rowid INTO |
|
|
c******e
发帖数: 1581 | 47 Just browsed your blogs. Interesting. Do you have opinion on deck, tbl,
and colm? Thanks. |
|
c***1
发帖数: 3281 | 48 DECK. good brand. UGGs still have momentum.
However, it's summer and although the stock is attractively valued by normal
standard, we are not exactly in normal times now.
$125 may not be a very bad entry point, but I would probably wait till $100-
110
or European situation stabilizes, whichever comes first
sorry I am not familiar with TBL, COLM. |
|
z****u
发帖数: 305 | 49 节选自环球财经（www.chineseworldnet.com）网站，有效期至当前，罗列所有到今天
（2011年3月18日）开盘为止创52周新高的股票，特此存档！
# 公司名稱 (代號) 開市價 最高價 最低價 收市價 成交量
1 PEABODY ENERGY (NYSE:BTU) 69.07 70.84 68 70.12 8,576,640
2 CAPSTONE TURBINE (NASDAQ:CPST) 1.85 1.88 1.76 1.77 7,400,432
3 CONSOL ENERGY (NYSE:CNX) 53.57 55.49 52.67 55.33 6,972,713
4 CSX (NYSE:CSX) 74.98 77.24 74.48 75.72 5,327,296
5 HECKMANN (NYSE:HEK) 6.18 6.35 6.12 6.21 4,064,357
6 WESTERN FOREST PRODUCTS (TSX:WEF) 0.96 1.23 0.96 1.18 3,921,072
7 AMERICAN CAPITAL AGENCY (NASDAQ:... 阅读全帖 |
|
w****r
发帖数: 245 | 50 大侠，分类都分好了，求神签
# Basic Materials, Agricultural Chemicals
AGU Agrium Inc.
AVD American Vanguard Corp.
CAGC China Agritech Inc.
CF CF Industries Holdings, Inc.
CGA China Green Agriculture, Inc.
CMP Compass Minerals International
COIN Converted Organics Inc.
IPI Intrepid Potash, Inc.
MON Monsanto Co.
MOS Mosaic Co.
NOEC New Oriental Energy & Chemical
POT Potas... 阅读全帖 |
|
