Issue 50+Argu 51

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Issue50

When referring to improve the quality of lectures in college and university, there exists a view that all faculties should do some working outside besides their academic work in professions. It sounds convincible at the first glance, but after thorough analysis I believe that we should re-evaluate the above conclusion. And I hold the view that the majority of faculty should spend some time working outside the academic world they do research professionally. And working outside the academic world in professions relevant to the courses they teach includes doing research in their related business field or working on other disciplines.

First, doing research in their own related business field might connect the academic research and the social practical needs together to facilitate the renovation of technology. No one can deny that the convenience of the modern life is prompted by the inspiring technologies that the leading scientists take pains to work on. Take the Facebook as an example. Facebook is an internet social network created by Mark Zuckerberg of Harvard University. Using his academic research outputs properly in the business field helps Mark Zuckerberg to build the biggest internet social network. More Facebook changes the way we communicate with others. When we are using the Facebook, most of us do not want to know how it operates, but all we want is a expedient tool to help our life. And that is to say that what the academics works should benefit the people needed. Thus the faculty working outside might help them to know the common people’s life and find a better way to help them out. With a better understanding of the academic work and social renovation, the faculties will present much more practical tasks and examples on lectures and the students will also conceive the need of the public and the frontline of technology clearly.

Then, researching on other academic fields will broaden the faculty’s views on their own profession research. What the world today goes today is more and more disciplines divided from the old ones. Once you choose a field to study, you are just doing research at a dark corner of the science. And that tedious work might cloud your eyes from a thorough understanding of your work. Then another tunnel to get to the point is a better way to accomplish the task. Also we can see that nowadays more and more research is between two disciplines, and interdisciplinary work not only need the faculty to get the knowledge of their profession field but also the other related field. More from the example of Albert Einstein we can get that even the distinct fields of science and art can inspire the spark of wisdom. From the scientists’ research on his brain after his death, we know that Albert’s brain is explored much more than the ordinary ones. And they confirmed that the love of music have a strong effect on his extraordinary physic work. When the faculty teaches in a different way the students will also benefit from the unusual way to get to the problem, and also might ignite their aspiration to delve into the research.

All in all, I believe that when the trend to working outside their circle of research comes, the benefits not only go to the faculties but also help the students to a much more enchanting world of science and technology.




Argument 51

The supposition above is about secondary infection’s impact on the recuperation time of those who suffer from severe muscle strain. But all I can get from the argument is about the connection between the antibiotics and the patients’ recovery time. And there does not exist a clearly defined bond of the secondary infection and the antibiotics, thus I strongly doubt all the speculation and the conclusion.

First of all, the author does not tell us what lies under the relationship between secondary infection and the antibiotics. All the demonstration is under the premise that antibiotics are capable of block the possibility of secondary infection. However, we do not get any information from the argument about this. And no other statics are given to exclude the possibility of other ways infecting the final result.

Secondly, the speculation is the result of two independent experiments under different circumstances, but when involved the conclusion, the author merge the two together as one experiment. The doctors are two distinct individuals even major in different disciplines no mention about their experience and other quality. More no accurate data is given to judge the two groups upon the male vs. female ratio, the group size, and their injury conditions of muscle strain and body response on the antibiotics. We could not deny the chance that one group is composed of few old patients and the other is a huge group of young people whose body condition is much better than the old ones.

Comparing the therapies being treated on the patients, they do not share the same circumstance. The environment’s impacts on the experiment are vague judging from the above argument. Also using the sugar pills as the substances of the antibiotics might also have some psychological effects on the patients when they are informed that what they take are the antibiotics.

And the test results provided are not compelling at the same time. We could not find out any static data comparing the two groups. What if Dr. Newland’s expectation time is much longer time than Dr. Alton’s? Thus the actual recuperation time for group led by Dr. Newland might be longer than the one led by Dr. Alton. This will crush all the results.

Even if the result is valid, we could not declare all patients with muscle strain should be advised to take antibiotics. That only proves that secondary infections may keep some patients from healing quickly after severe muscle strain. It only shows the antibiotics help some people who suffer from severe muscle strain. And other side responses should also take into consider when this suggestion is made.

The argument for impact of secondary infections on the severe muscle strain patients are based on the false experiment test, and in the test itself no sufficient statics are given to exclude other chances.

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这个是第一次作业