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Luna

静以修身 俭以养德
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May 26

09-5-26


Image(666)  

推开实验室暗房的门
被一阵夺目的强光笼罩着
差点睁不开眼睛

等待了4个近乎漫长的雨天
终于放晴了
人懒懒地瘫坐在隐湖边的石凳上
像没晾干的衣服
尽情地曝晒潮湿的心情
这学期呆这么久
今天的ZH才第一次以熟悉亲切而近乎热烈的方式向我打招呼
嘿嘿!我看见听见了

HEY, ZH你好啊!

p.s. 学校广播台DJ好扫兴哦,连续两次CUT歌。。什么浪漫的美感都烟消云散--#
作罢。。。今晚还约了被试呢

May 12

Where is the moment when we need it the most
You kick up the leaves and the magic is lost
You tell me your blue sky's fade to gray
You tell me your passion's gone away
And I don't need no carryin' on
You stand in the line just to hit a new low
You're faking a smile with the coffee to go
You tell me your life's been way off line
You're falling to pieces every time
And I don't need no carryin' on
Because you had a bad day
You're taking one down
You sing a sad song just to turn it around
You say you don't know
You tell me don't lie
You work at a smile and you go for a ride
You had a bad day
The camera don't lie
You're coming back down and you really don't mind
You had a bad day
You had a bad day
Well you need a blue sky holiday
The point is they laugh at what you say
And I don't need no carryin' on
You had a bad day
You're taking one down
You sing a sad song just to turn it around
You say you don't know
You tell me don't lie
You work at a smile and you go for a ride
You had a bad day
The camera don't lie
You're coming back down and you really don't mind
You had a bad day

Sometimes the system goes on the blink
And the whole things it turns out wrong
You might not make it back and you know
That you could be well oh that strong
And I'm not wrong
So where is the passion when you need it the most
Oh you and I
You kick up the leaves and the magic is lost
Cause you had a bad day
You're taking one down
You sing a sad song just to turn it around
You say you don't know
You tell me don't lie
You work at a smile and you go for a ride
You had a bad day
You've seen what you like
And how does it feel for one more time?
You had a bad day
You had a bad day

<BAD DAY> --Daniel Powter

今日,是512汶川地震一周年之际
借这个机会,表达自己对众多逝去亡灵的悼念
也是对在瓦砾废墟中挺立起来的伟岸灵魂和无私大爱
致以崇高敬意
最近没有时机,也没有心思更新日志
关于个体生命的命题,或许自己真的可以在512中汲取到许多平凡但不简单的内涵

April 16

积木之家

La Maison en Petits Cube 《积木之家》

此时此刻你经历的故事,可能就在你记忆之塔尖。根据线索,潜沉下去,重觅昔日时光…
第81届奥斯卡最佳动画短片:
 

April 02

樱花之旅

武汉之旅,匆匆两日。除了背着满满的行装回来,还带了满怀缤纷的落樱。两天能去的地方不多,但走的路可不少。不能说随处都是美景,但总是新鲜和惊喜常伴。巧合的事情不断,说不上美丽,但觉得与武汉的初次相遇有点独特。这次旅行的关键词当然是武大赏樱咯。被姐催促了好几回,说樱花都快落了,迟一点来就掉光的说- -
火车早晨5点就到站了,在火车站稍事休息之后,我们便往武大赶。刚好7点到达。从来没有这么早逛过学校,即便在ZSU也很少。早晨的校园让人感觉特别清朗和干净。此时校园里很少汽车,到处是鸟啼声,青翠的大草坪、苍劲挺拔的树木,还有晨运的公公婆婆。武大的草坪很大,比咱校的大,而且绿油绿油的模样,让人看了也没敢随意践踏。武大的樱花主要集中在樱园和樱花大道上。我们一行中2位花痴童鞋(有俺)自然就扑在樱花下不肯挪步。我第一眼看见樱花,不觉得十分震撼,可是细细观赏过之后,才觉得樱花娇美而且难得。团团粉色的彩云飘在枝头,中间花开浓密,渐渐向四周伸展,逐渐稀疏,仿佛像飘散,像雾化,虚虚实实,让人着实探不着边际。只觉纵身落入彩云深处,色相缭绕,沉醉其中。
传统的樱花有5片花瓣,中心稍粉,愈向外愈白。樱花很易落也易碎,风势稍大,便能观赏到落“樱”缤纷,美丽难以言状。第一天没有下雨,所以樱花树再配上地上的落樱,看上去很有意境。可第二天经过风雨吹打后,却呈现凋零败坏了。其实武汉到处都有樱花,稍微大一些的公共绿化场所,比如说公园、江滩等地方,都看得见樱花。
武汉另外一点区别于GZ的地方在于,武汉的街头小吃更发达,无论是规模、包装,还是扎根于民间的草根情节,都要强得多。俺在户部巷里尝了俺觉得好好吃的热干面、豆皮外,还被“强迫”吃了BT翅。至今还想起肉食小摊门面的雷人对联,让人犯囧…上联:一直被模仿。下联:从未被超越。还有横批:男人也有流泪的时候…呃- -||。回忆起BT翅至今难忘,那时的感受很难用言语表达,唯一能说的就是想想BT怎么写,以及俺流泪是个啥样…
就说这么多吧,武汉是要亲身去过才会有体会的,除了樱花和小吃之外,应该还有很多很多。
下面就上图吧,俺就别馋人了…

collage

040  023  028

030  037  072

054 122 129 054 005

038  151  155 159

最后呢,真要特别鸣谢俺姐,既做随团导游,又做米饭斑竹…那汤包的味道…嗯,还在回味,谢俺姐啦~
p.s呵呵,阿汤吃饭的时候就说我们活像亲姐弟呢^_^

March 22

让我们把深思熟虑的活交给下意识去完成吧:)

作业里一篇十分有趣的研究,发在零六年《科学》杂志上。
'On making right choice: the deliberation-without-attention effect’
一般我们会这么认为,一般也会这么做,就比如说:去超市里买东西,我们不会在一瓶鲜橙多果汁上花太多脑筋;
但是如果要我们进行房地产投资或者购买一辆适中的家居旅行车,我们很可能会坐下来托着腮好好思考一下,参
考专业人士或亲朋好友的意见。可是这篇文章却倒过来思考,凭啥说复杂的事情就要费脑筋,果然实验得出的结
果就让人大吃一惊..- -|| 参与实验的白老鼠被要求在四台事先呈现的汽车中挑出一台最好的,不同的汽车参数也
不一样,被试在看完汽车都了解清楚之后,一部分被要求玩字谜游戏,而另一部分则再仔细想想刚看过的车,四
分钟后要求他们对四辆车做出最优判断。结果呢…
研究者这样解释他们的deliberation-without-attention(DWA)假说,集中注意力思考某个问题的确能准确地
判断和细分问题,但是信息在高意识水平下的容量是有限的,就比如说,我们要用显微镜研究某个微生物,我们
只能在大小有限的工作台上进行研究,而且在放大镜下所看见的微生物只是它的其中一个很小的部分,就是说同
一时间进入我们眼帘的信息量是十分有限的,如坐井观天。另外就是,正是因为我们高度注意这些问题有关的
“重要”因素,而暂时忽略了其他也同样重要的因素,使得我们没能做出正确的决策。相比起来,虽然没有注意
参与,但是在无意识的情况下问题还是会在意识底层自动进行分析和处理,简单说就是我们在想问题,但是我们
不知道自己(没意识到)想问题。问题的大部分信息都处在意识底层流动,没有受到意识以上的限制和约束,信
息之间可以得到更加平等地加工,对问题“看”得更全面。
但是我觉得实验其实是有问题的,被试都被限制在四分钟以内做出判断,也就是这个实验结果是在限时,而且缺
乏充分判断的情况下得出的,最多也只能下人在短时内迅速决策更有效的结论…
现实生活中,我们不妨观察一下到底这样的实验结果是否正确?要见仁见智咯:)

TsuchiyaKoch_OpposingEffectsC
Abstract

 

Hao Zhang

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