厚朴横切面的显微特征有( )A．木栓细胞数列，最内层细胞外壁特厚，木化 B．皮层外

性味苦寒的药物大多具有的功效是（）

A.祛风除湿

B.芳香化湿

C.清热燥湿

D.利水渗湿

E.活血通络

袋中有大小相同的红球1只、黄球2只，从中任取1只，有放回地抽取3次．求：

（1）3只全是红球的概率； （2）3只颜色全相同的概率；（3）3只颜色不全相同的概率．

某同学在实验室里过滤一种含固体物质的浑浊液，发现滤液仍很浑浊，其原因可能是：

（1）______；

（2）______．

当你站在海边，望着一望无际的蔚蓝色海水和一层一层涌向岸边的浪花，是否会有一种舒畅、开阔、生气勃勃的感觉 

俄罗斯生物物理学家阿拉巴特日独辟蹊径，观察研究了这一现象。他注意到，当海水在风力作用下形成海浪时，会产生人耳听不见的频率为8～13赫兹的次声波。该现象早已为人们所知晓。但是阿拉巴特日感兴趣的是，在我们人体内部究竟是什么东西能与来自大海的次声波频率相一致呢当他将注意力转向生物医学资料时。马上发现了自己想找的答案。 

原来，在人的大脑里存在各种不同的生物电流，它们可以通过脑电图记录下来。科学家们对记录下来的脑电波进行了深入的研究和分类。已知的几种生物电流节律无论在频率上还是在强度上都有很大差别，其中一种。节律的频串为8～13赫兹。真是惊人的巧合!也许，海洋次声波能在人的大恼里引起某种共振a节律能使人们表现出正常、镇静和精神泡满的状态。只要人稍激紧张、疲倦，。节律便会减弱。这时大脑中具有其他频率的一些节律就会开始占上风。 

这是否意味着人类大脑中的天然。节律具有某种对大海生活的遗传生理适应性呢或许这种遗传生理适应性正说明了人类远古祖先起源于大海吧。阿拉巴特日认为。人为激发频率为8～13赫兹的次声波完全能使人处于并保持不眠状态。这也许是生理学上又一新课题。

阿拉巴特日认为人在海边感觉心情舒畅的原因是（）。

A．大海能给人一种舒畅、开阔、生气勃勃的感觉

B．海洋次声波能在人的大脑里引起某种共振

C．在人的大脑里有令人兴奋的各种生物电流

D．生物电流节律在频率、强度上都有很大的差异

A computer model has been developed that can predict what word you are thinking of. (41) Researchers led by Tom Mitchell of Carnegie Mellon University in Pittsburgh, Pennsylvania, "trained" a computer model to recognize the patterns of brain activity associated with 60 images, each of which represented a different noun, such as "celery" or "aeroplane".
(42) . Words such as "hammer", for example, axe known to cause movement-related areas of the brain to light up; on the other hand, the word "castle" triggers activity in regions that process spatial information. Mitchell and his colleagues also knew that different nouns are associated more often with some verbs than with others--the verb "eat", for example, is more likely to be found in conjunction with "celery" than with "aeroplane". The researchers designed the model to try and use these semantic links to work out how the brain would react to particular nouns. They fed 25 such verbs into the model.
(43) . The researchers then fed the model 58 of the 60 nouns to train it. For each noun, the model sorted through a trillion-word body of text to find how it was related to the 25 verbs, and how that related to the activation pattern. After training, the models were put to the test. Their task was to predict the pattern of activity for the two missing words from the group of 60, and then to deduce which word was which. On average, the models came up with the right answer more than three-quarters of the time.
The team then went one step further, this time training the models on 59 of the 60 test words, and then showing them a new brain activity pattern and offering them a choice of 1 001 words to match it. The models performed well above chance when they were made to rank the 1001 words according to how well they matched the pattern. The idea is similar to another "brain-reading" technique. (44) . It shouldn’t be too difficult to get the model to choose accurately between a larger number of words, says John-Dylan Haynes.
An average English speaker knows 50 000 words, Mitchell says, so the model could in theory be used to select any word a subject chooses to think of. Even whole sentences might not be too distant a prospect for the model, saysMitchell. "Now that we can see individual words, it gives the scaffolding for starting to see what the brain does with multiple words as it assembles them," he says. (45)
Models such as this one could also be useful in diagnosing disorders of language or helping students pick up a foreign language. In semantic dementia, for example, people lose the ability to remember the meanings of things--shown a picture of a chihuahua, they can only recall "dog", for example--but little is known about what exactly goes wrong in the brain. "We could look at what the neural encoding is for this," says Mitchell.
[A] The team then used functional magnetic resonance imaging (FMRI) to scan the brains of 9 volunteers as they looked at images of the nouns
[B] The study can predict what picture a person is seeing from a selection of more than 100, reported by Nature earlier this year
[C] The model may help to resolve questions about how the brain processes words and language, and might even lead to techniques for decoding people’s thoughts
[D] This gives researchers the chance to understand the "mental chemistry" that the brain does when it processes such phrases, Mitchell suggests
[E] This research may be useful for a human computer interface but does not capture the complex network that allows a real brain to learn and use words in a creative way
[F] The team started with the assumption that the brain processes words in terms of how they relate to movement and sensory information
[G] The new model is different in that it has to look at the meanings of the words, rather than just lower-level visual features of a picture