The erratic Nobel Prize Opportunity: How to understand and use NMT data?

Pay attention to the Xuyue WeChat public account, click on the menu bar "Proceedings" below to get the latest version of NMT "The Collection".

Author: Xu Click to view more of his autobiography

2)       NMT data repeatability challenge

From the above examples and interpretations, it can be seen that the physiological data of NMT (or future physiological indicators) is quite different from the traditional life science data that everyone is familiar with. So many teachers and classmates who got the NMT data for the first time saw the big, small, or 'floating' data, when the NMT technology was beautiful, it instantly became an eyebrow. The clouds.  

Especially when NMT entered China, everyone didn't have much experience. When many teachers and students were groping, they didn't know the physiological significance of the measured ion molecules. They didn't care about 'men, women, and children', and no matter how strong. Win the weak ', and pass it to NMT for testing. As we always find in front of the computer, most of the mistakes are our own! The NMT system will faithfully feed back the real data to us.

Therefore, the challenge of NMT data repeatability comes mainly from two aspects.

The first is the selection of physiological indicators (ie, ion molecular species).

The second is the screening of materials.

a ) The choice of ion molecular species is usually straightforward, and everyone knows what they want. But often overlooked, especially in the early stages of exploration, it is best to find a second one that you are relatively familiar with, almost predictable, or another ion / molecule that can be used as a reference / reference. Yes, for example, when you use body temperature as a reference, if the temperature of a 'sample' is abnormal, you know that the data of the unknown physiological indicators you are studying are also abnormal.

2 ) Screening of materials In addition to the fact that 'men and women are different' and 'different ages', a place that is easier to ignore is the screening of 'strong and weak', and teachers and classmates stubbornly believe that they must guarantee the experiment. The scientific nature of the material must ensure that both the 'strong and the weak' are forgotten. Forgetting the physiology described above is the study of the normal function of living organisms and their various components. Then, 'normal function' should mean 'strong (healthy)'.  

Therefore, the challenge of NMT data repeatability is essentially a double test of the physiological knowledge of NMT technology users and the level of preparation of experimental materials.  

3)       'Flourishing' opportunity

Below is the data that a rice researcher measured in Xuyue many years ago. Most teachers and classmates will be very disappointed to see such data.

Below is the same teacher and Xu Yue engineers going out for lunch, unintentionally recorded data. See what is the law? (The yellow line is recorded before they eat, is the picture above (not exactly proportional))?

Below is another teacher's NMT data for genetically modified rice H + . It was recorded by our engineers inadvertently, because the teacher had no equipment at the time and had too many materials to detect it for a long time.

Let's take a look back at how the human electrocardiogram was discovered, and how Willem Einthoven won the 1924 Nobel Prize in Medicine.

Now, the question facing Chinese scientists who are already at the forefront of the world's NMT applications is how do we find clues to the Nobel Prize from these “floating” NMT biophysical data, right? !

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