Showing posts with label average. Show all posts
Showing posts with label average. Show all posts

Tuesday, November 22, 2022

The standardized probability variable and its role in the study



We are all heard of the standard probability variable. But many people do not know what this thing means. The "standard variable" means the criteria used for choosing the participants or actors for research. The ability to handle those variables is the thing that gives results to the researcher. 

When the researcher makes research. One of the key elements to getting real information out from research is to know what those "standard probability variables are". The researcher must know the research team's criteria for selecting the sample. That is under research. When researchers are researching things like viruses they must realize one thing. 

HIV infection makes all organisms dangerous for those patients. Same way. That is one version of the co-effect that boosts the effect of the primary variable. 

In COVID-19 statistics the primary variable is COVID-19. But co-variables ("booster variables") are HIV infection or weak immune defense. 

 If the patient uses an immune depressant. That makes all viruses dangerous for those people. Those medicals are causing chemical AIDS. And they are used with organ transplants to deny immune reactions. 


There are many ways to report deaths about COVID-19.


*Researcher can report all victims. That is dead during the pandemia and use the COVID-19 antigens as criteria. 


*In that case, we can say that if a person has a COVID-19 infection. And get under the car is dead because of COVID-19, which is not true. But if the criteria are only COVID-19 antigens the statistic shows that the person died because of COVID-19. 


*Researchers can report only cases that are dead because of COVID-19 infection. But in that case, we must check things like HIV infection.


*Researchers can also involve things like hospice or cancer therapy or the use of narcotics in those research. Or researchers can bypass those things, and that thing can affect results. 


How to select a sample is a problematic question. When we are thinking about the changes in the brain structure of COVID-19 patients, we must notice some other variables in the research. Those variables are lifestyles, use of alcohol, and use of narcotics. 

And many other things that can affect the metabolism and especially neuron metabolism. Those things are playing a key role in the co-effect of virus infections. 


https://marketbusinessnews.com/financial-glossary/what-is-statistics-what-are-statistics/


https://fromplatoscavetoreality.blogspot.com/

Tuesday, October 15, 2019

Artificial intelligence as an architect

Artificial intelligence as an architect

In the world of tomorrow, the artificial intelligence is maybe the independent and ultimate tool for research and development, which have traditionally believed to belong to humans. The thing is that artificial intelligence can work as an architect, and furnish rooms and houses independently.

The thing what this algorithm need is to access the social media of customer, and where it can see the photographs, what the user has put in there. The thing that artificial intelligence would use are the words, what the user has used about the images, and if it has access to find out things like what kind of images that customer normally looks.

The artificial intelligence follows the movement of eyes and changes in electric actions in the pleasure center. By using that data the system creates forms that please the user. After that, the artificial intelligence makes the matrix or average image. It calculates the color palette, what it uses for the selection of colors for that project.

After that, the algorithm would calculate the angles and average forms, what the person looks at, and it can also detect the movements of the eye if it has access to that. And in the perfect version, it can detect the feelings of humans by observing the neural electricity. In that case, the computer must just show images, and EEG would tell if the image pleases the customer.

Then the artificial intelligence would just show images about the result, and then by observing the feelings, it can make perfect room, which pleases the customer. During the process, it adjusts the colors and the forms and places of things, and it can make the selection by using the budget, what the customer has given. The adjustment would make by following the reactions of the pleasure center of the brains during the process.

The difference between artificial intelligence and the human mind is that artificial intelligence would not have real feelings. Those highly sophisticated computer programs can play feelings, but they don't have them. So artificial intelligence can focus only on the mission, what it has. And the thing is that artificial intelligence can handle very much data if we are comparing that with the human mind.

Here I must say that artificial intelligence has one benefit to humans, and that is the system cannot use parameters, what it should not use. So the algorithm can collect letters or as an example the work applications by using indexes like texts, which seem to be made by the same person. In this time the system searches the similar details in the applications, but it doesn't notice the sender itself. That kind of thing makes possible to detect if some person makes the applications for other people.

Artificial intelligence can compare things like a way to write the messages by comparing the rate of the letters in the messages, and the way to select words are uncovering the writer. And other similarities in the writing style can tell if the writer of some messages is the same. The thing, that makes computers so good in this thing is that they are comparing two images by bit to bit, which makes them ultimately sharp.

What means that artificial intelligence can see things, what human beings cannot notice, because there are so many objects in the images, what are portraying certain parts of the sky or some rain forest. The computer can detect the smallest differences in things like the size of the leaf of the trees and change of the color of the green parts of vegetables.

The computer just compares two images together, and then the system can tell is the area of green material grown, is it decreased, or is a leaf of those trees going pale? Which means that the level of chlorophyll is decreased. That kind of data is an interesting thing because it tells about pollution.

Computer researchers published a new algorithm that revolutionizes web management.

The new database structures require new and powerful tools to manage databases in non-centralized solutions. The new data structures can be ...