在 英语 中使用 Create 的示例及其翻译为 中文
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Political
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Ecclesiastic
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Programming
Is the reality you create.
Messi's a cage, you have to create a cage.
In the real world, we understand and create through language.
So the first thing we need to do is create a project.
What you can see is what you can create.
The speed and immediacy of simultaneous interpreting create a few challenges.
For example, create a contact list named My book club and add all the members of your book club to it.
For example, you might create a contact list named"My book club" and add all of the members of your book club to it.
Students conduct experiments, collect data, create models, and read and analyze information in their exploration of real-life issues.
We create interactions, products, services, and experiences with an extremely high level of excellence, and attention to detail.
Mr. PRLIĆ(Bosnia and Herzegovina) said that the establishment of the Court would create a strong instrument for preventing and punishing the perpetrators of serious crimes.
Third, the government will create a regulatory and financial framework to support the development of domestic“AI champions.”.
Issues at work may create frustrations, but it's also a good time to review policies and procedures and clarify any misunderstandings.
That is likely to both create significant economic value and change the nature of work for tens of millions of Indians.
Create a back up of all the information on your iPad, iPod touch, and iPhone without any restriction imposed by Apple.
In this context, the Norwegian DNV GL will help create a support system and a legal framework in Azerbaijan's alternative energy sector.
I'm more concerned we will create flawed systems which compromise our privacy and our security, even unintentionally.”.
Perhaps it was really shared emotion and experience that create relationships, not seven hours of routines followed by two hours of sex.
During the process of v12n, developers create the virtual version of an operating system, server, or other network resource.
Using the right platform for analytics is also important, because some machine learning workflows can create bottlenecks between business users and data science groups.