Answer:
a. Coelom
Explanation:
The coelom is the body cavity contain coelomic fluid. The organisms have a true coelom called the coelomate animals. Coelom gives space and provides protection to the internal organs. The coelom is present between the mesoderm and alimentary canal of the organisms. The invertebrates such as annelids, arthropods, helminths, echinoderms, and vertebrates have a true coelom.
In cases of acute renal failure, serum creatinine (SCR) and blood urea nitrogen (BUN) incorrectly predict the glomerular filtration rate (GFR). The possibility exists for serum cystatin C (CYS) to be a more accurate GFR marker. In order to examine the sensitivity of SCR, BUN, and CYS in identifying acute renal failure in mice, this study was conducted.
The conclusion of the study was that In mouse models, CYS can be utilized as an accurate and dependable marker for renal function. In comparison to SCR and BUN, CYS is more sensitive and detects kidney impairment early.
<h3>What is
glomerular filtration rate (GFR)?</h3>
A blood test called a glomerular filtration rate (GFR) measures how well your kidneys are functioning. Glomeruli are little filters found in your kidneys. These filters aid in clearing the blood of waste and extra fluid. How much blood flows through these filters each minute is determined by a GFR test.
To learn more about glomerular filtration rate (GFR) with the help of given link:
brainly.com/question/13064727
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Answer:
She will obtain results to support -or reject- her working hypothesis. These results are subjected to statistical analyses in order to confirm that they are statistically significant
Explanation:
The scientific method is a rigorous process that consists of raising a working hypothesis, which is tested by experimentation or observational procedures and analysis of the results. The statistical analyses may have key roles during this procedure. In an experiment that involves statistical analyses, the results are subjected to statistical measures to evaluate the significance level and thus confirm (or reject) the statements made in the working hypothesis. The p-value is one of the most used statistical measures to determine if differences are due to randomness, or they are statistically significant.