Sentence examples for true interaction from inspiring English sources

The phrase "true interaction" is correct and can be used in written English.
You can use "true interaction" when referring to a genuine and meaningful exchange between individuals or objects. For example: - The success of a classroom depends on the true interaction between students and teachers. - In order to improve relationships, it is important to have true interaction with others and truly listen to their perspectives. - The interactive game created a sense of true interaction between players, making it more enjoyable. - True interaction between different cultures can lead to a better understanding and acceptance of diversity.

Exact(59)

"It's true interaction," says Kondabolu.

"There seemed to be a true interaction between the council and her office," he said.

Our results, which are performed in vacuum rather than a solvent, may be considered as an upper-bound to the true interaction.

In black, the true interaction functions, in green, reconstruction by method f ˆ B, in red, reconstruction by method f ˆ BO.

Domestic robots are sort of here, with self-driving and speakers that control your smart home, but Mayfield Robotics Kurii could be the first real home robot, combining mobility and true interaction with approachable, friendly design.

We believe that this kind of behavior is due to the combined effect of slow Butler Volmer kinetics for Li-ion transfer and the true interaction parameter g, which may be more negative than the critical value −4.

We consider the time-varying patterns of close friendships as trusting relationships and additionally incorporate the true interaction patterns via Bluetooth as well as communication patterns and user beliefs obtained by opinion surveys in validating our work.

In our obsession with the numbers (followers on Twitter, Klout scores, Facebook friends) we've lost the purpose of social media -- true interaction.

This suggests that it is a fairly sensitive probe for determining true interaction patterns in the data.

However, when we predict interaction partners for a specific protein, the estimated precision levels (i.e. how many of the predicted proteins are true interaction partners) are still seemingly quite moderate.

If two databases use the same data source for predicting an interaction, the naive Bayes model accounts twice for the same information, which leads to an overestimation of the true interaction probability.

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