Answer: 5. False 6. False
Explanation: The permeases are membrane transport proteins, they're secondary active transporter that allow the movement of a specific molecule in or out of the cell in the direction of a concentration gradient, it is a form of facilitated diffusion and does not require energy. The permease secondary transporter uses the Na ion concentration to move glucose into the cell.
When the ion concentration gradient is set, the concentration of glucose in the cell is higher than the concentration of blood. Glucose will move to the blood by passive diffusion through permease secondary transporter.
The transport mechanism is carrier mediated it does not require energy.
The process by which DNA is copied to RNA is called transcription, and that by which RNA is used to produce proteins is called translation.
A person whose red blood cells agglutinate with anti-B antibodies BUT NOT anti-A antibodies is type AB.
<h3>What is an agglutinate?</h3>
Agglutination is the process by which specific antibodies to antigenic components on the surface of red blood cells or inert particles (direct agglutination) or to antigenic components adsorbed or chemically attached to red blood cells or inert particles produce clumps of cells or inert particles (passive hemagglutination and passive agglutination, respectively).
When antibodies on one RBC attach to the antigen on another RBC, a process known as agglutination, globular to amorphous, grape-like aggregates of RBCs are formed. RBC agglutination supports immune-mediated hemolytic anemia when it is present (IMHA). The majority of IMHA instances do not exhibit agglutination, but when it does, immunoglobulin M (IgM) is the most frequently implicated because of its pentavalent nature. Agglutination, however, might be brought on by a very thick IgG antibody coating of the RBC membranes. Agglutination is typically regarded as IMHA's diagnostic sign.
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Answer:
Surface water <---> river
Ground water <------> well
Water vapour <------> atmosphere
Glacier <-------> ice
Explanation:
Resulting factors are called Second-order factors
<h3>
What is factor analysis?</h3>
- Factor analysis is a statistical approach for describing variability in seen, correlated variables in terms of a possibly smaller number of unobserved variables known as factors.
- It is possible, for example, that fluctuations in six known variables mostly reflect variations in two unseen (underlying) variables.
- Factor analysis looks for such joint fluctuations in response to latent variables that are not noticed.
- Factor analysis may be regarded of as a specific form of errors-in-variables models since the observed variables are described as linear combinations of the possible factors plus "error" terms.
- It may help to deal with data sets where there are large numbers of observed variables that are thought to reflect a smaller number of underlying/latent variables.
- It is one of the most commonly used inter-dependency techniques and is used when the relevant set of variables shows a systematic inter-dependence and the objective is to find out the latent factors that create a commonality.
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