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The phrase "the perceived information" is correct and usable in written English.
It can be used when discussing how information is understood or interpreted by individuals or groups. Example: "The perceived information can vary significantly from one person to another, depending on their experiences and biases."
Exact(13)
Reputation and perception of information integrity explain 16%% of the perceived information asymmetry variance together.
Therefore, it is important to quickly send the perceived information to the sink.
The lender's perception of the borrower's reputation has a negative effect on the perceived information asymmetry.
The resulting basic assumptions are as follows: H1: The lender's perception of the borrower's reputation has a negative effect on the perceived information asymmetry.
Because network borrowing mainly happens between strangers, trust building is mainly based on the consideration of cost and benefit; therefore, the perceived information asymmetry is taken as the dependent variable of trading trust is reasonable.
Considering that visual information can significantly improve the perceived information gathered from the sensed environment, there is a growing interest in incorporating video applications and transmissions over WSN [1-3].
Similar(47)
Almost half of the women perceived information provided by volunteer and health staff working together to be more beneficial than information provided solely by one or the other.
Attitudes are influenced by the overall comprehension of the ETR concept, the expected impacts, perceived information deficits, as well as a general distrust in politics.
The influence of perceived information asymmetry on the willingness to loan is not significant (b = 0.07, p > 0.07); trust and perceived information asymmetry together explain 70%% of the variance of the willingness to lend.
Based on the above analysis, we think that when the borrower's perceived information asymmetry is low, it will be easier for him or her to gain the trust of the lender.
Second, we discuss the relationship between perceived information asymmetry and trading trust.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com