Prenatal Exposure to Air Pollution and Early Life Stress Effects on Hippocampal Sub regional Volumes and Associations with Visual-Spatial Reasoning may lead to severe complications like brain-derived neurotrophic factor.
<h3>
What are the Effects on Hippocampal Sub regional Volumes?</h3>
- The hippocampus is also changed by exposure to air pollution, with various effects seen in different hippocampal subfields.
- Following perinatal air pollution exposure in animal models, decreased structural integrity throughout the hippocampus, decreased neurogenesis in the dentate gyrus, and activated microglia in the dentate gyrus and CA1 subfields have all been noted.
- It has been demonstrated that prenatal exposure to PM2.5 is followed by decreased hippocampus brain-derived neurotrophic factor (BDNF) expression and decreased dendritic branching in the CA1 and CA3 subregions.
- In the past, studies on humans have also concentrated on polycyclic aromatic hydrocarbons (PAHs), a class of air pollutants produced by incomplete combustion of organic materials and cigarette smoke, grilling, oil- and coal-burning power plants, and vehicle emissions.
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Answer:
Predictive validity.
Explanation:
A Predictive validity test is the test that is taken to predict the future performance of the applicant based on the scores in the test. The test is useful in predicting the future, as suggested by the name.
The tests that are taken before allowing a person in any organisation are often predictive. A pre-employment test is such example.
<u>In the given case, the entrance exams are also an example of predictive validity. It is because based on the scores scored by a student will help the university authorities about the performance of the student</u>.
So, the correct answer is predictive validity.
Answer:
1. Co-variance= -1.2
2. correlation coefficient= -0.4404
3. There is weak negative relationship between x and y.
Explanation:
1.
Co-variance= Cov(x,y)= sum[(x-xbar)(y-ybar)]/n
xbar=sumx/n=32/5=6.4
ybar=sumy/n=35/5=7
x 7 8 5 3 9
x-xbar 0.6 1.6 -1.4 -3.4 2.6
y 7 5 9 7 7
y-ybar 0 -2 2 0 0
(x-xbar)(y-ybar) 0 -3.2 -2.8 0 0
Cov(x,y)= sum[(x-xbar)(y-ybar)]/n=-6/5=-1.2
Cov(x,y)=-1.2
2.
correlation coefficient=r
x 7 8 5 3 9
x-xbar 0.6 1.6 -1.4 -3.4 2.6
y 7 5 9 7 7
y-ybar 0 -2 2 0 0
(x-xbar)(y-ybar) 0 -3.2 -2.8 0 0
(x-xbar)² 0.36 2.56 1.96 11.56 6.76
(y-ybar)² 0 4 4 0 0
r=-0.4404
3. Since the value of correlation coefficient is negative and less than 0.5 , so, we can say that there is weak negative relationship between x and y.
Because Christianity was so diffuse, and also illegal and therefore kept underground, it
is hard to speak of a united “Christianity” in this period. A more accurate statement might be
that there were “Christianities,” that is, various forms of Christianity, with different takes on
the religion and its message. Gnostics, Montanists, Docetists, and others, debated about the
true nature of Christ, salvation, and the life of a Christian.
