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The residual volume can not be measured directly.
<h3>How is residual volume measured?</h3>
Residual volume is known to be measured by what we call a gas dilution test.
Note that this test often measures how the concentration of the gases in the container changes.
<h3>What is residual volume?</h3>
This is known to be the Volume of air that is left over after a FORCED EXPIRATION. Note that it is one that cannot be measured by a spirometer.
Hence, The residual volume can not be measured directly.
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Answer:
There could be an issue with your SIM card, or the problem could be on your carrier's end. Possible causes of the 'not registered on network' error include:
Your phone's firmware or operating system is out of date.
The SIM card is disconnected or damaged.
Your carrier is not selected in your phone's settings.
Your carrier is experiencing an outage.
Explanation:
Answer:
The answer is "Option A"
Explanation:
In the OOPs programming language, the class and object concept is used, in which class is a collection of data members, and member function and object is known as real-time entity. In the class when the main method is created, so inside this method class object is created that's why the answer to this question is true.
Answer:
2. A data modelling project using a packaged data model REQUIRES A GREATER SKILL than a project not using a packaged data model.
Explanation:
1a. Review of universal models:
A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real world entities. It has become the standard approach used towards designing databases.
A universal data model is a template data model that can be reused as a starting point or a building block to jump-start development of a data modelling project, industry specific model, logical data models.
1b. Discuss how these are being used more widely today.
*Universal data models helps professional reduce development time, improve consistency and standardization while achieving high quality models.
*Higher quality: just as architects consider blue prints before constructing a building, one should also consider data before building an app. A data model helps define the problem, enabling one to consider different approaches and choose best ones.
*By properly modelling and organization's data, the database designer can eliminate data redundancies (needless repetitions) which are a key source for inaccurate information and ineffective systems.
2. Greater and advanced skills are adequate and required when data modelling project is done using packaged data model while fewer skills are required when data modelling is done without packaged data model.
