Explanation:
If you have been in EMS long enough, you may well have encountered a patient with diabetes insipidus. Like many, you may have assumed that it is a variant of the common disease diabetes mellitus. Actually, diabetes mellitus and diabetes insipidus are totally unrelated other than the name. The term diabetes is derived from Latin (originally Greek) and means “to go through or siphon,” referring to a large amount of urine produced by the kidneys. The term melitus, in Latin, means “sweet.”
A strong incentive affects the Kendall's hunger drive.
<u>Explanation:</u>
Kendall was waiting in a line at a local coffee shop. She already had her breakfast for the day. The aroma of freshly baked bagels and muffins began to increase her hunger. Kendall faced a strong incentive affecting the hunger drive.
Imbalance of hormones like leptin and serotonin causes food cravings. After food consumption, endorphins gets released into the body. This is the reason for food craving and sometimes leads to addiction.
Answer:
Incomplete dominance
Explanation:
Incomplete dominance is a type of inheritance pattern in which two alleles of a gene are not dominant over one another but rather form an intermediate phenotype, which is a blending of both parental phenotypes. It is a non-mendelian inheritance i.e. does not conform to Mendel's inheritance principles.
An example of incomplete dominance is that of the alleles of a flower color gene in four o'clock plant. The alleles for white (W) and red (R) are incompletely dominant over one another, hence, they form an intermediate PINK phenotype (RW).
The field of study that seeks to enable machines to simulate human abilities is known as <u>artificial intelligence(AI)</u>.
Artificial intelligence (AI) would be the simulation of human intelligence by technology, particularly computer systems. For creating and refining machine learning algorithms, a foundation of specialized hardware as well as software is needed.
Large volumes of labeled training data are ingested by AI systems, which then examine the data for correlations but also patterns before employing these patterns to forecast future states.
AI is capable of jobs that humans are not. AI tools frequently finish tasks fast and make few mistakes.
To learn more about machines here
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