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Leona [35]
4 years ago
13

What other system must work with muscles and how do the two systems work together

Biology
1 answer:
Ivan4 years ago
3 0
<span>  music works with skeletal system, the nervous system and the circulatory system</span>
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compare the thickness of the wall of the superior and inferior vena cava and the aorta. which thicker and why????
Irina-Kira [14]

Answer:

The wall of the aorta is thicker than that of the inferior venacava; this is because the aorta is the artery that carries blood from the heart from the left ventricle to the whole body (except the lungs), while the superior and inferior venacava are the veins that carry blood from the body to the right atrium. hope this helps ! :)))

Explanation:

5 0
4 years ago
Label the following statements as characteristics of the central or peripheral nervous systems:
zloy xaker [14]

Explanation:

peripheral, peripheral nervous system, central nervous system, central nervous system, peripheral

7 0
3 years ago
What did Anton van Leeuwenhoek discover?​
Kisachek [45]

microscope

he invented.

6 0
3 years ago
What is mitosis and how is it drifting then miosis
Paha777 [63]

Answer:

Mitosis is a process where a single cell divides into two identical daughter cells (cell division).  

Meiosis is the process in which a single cell divides twice to form four haploid daughter cells.

I'm not sure what you're trying to ask but here are some simple definitions for mitosis and meiosis.

6 0
2 years ago
Application of an artificial neural network(ann) model for predicting mosquito abundances in urban areas. EcologicalInformatics,
dsp73

Information about mosquito activity is in demand these days because more people are engaging in outdoor activities in metropolitan settings. Predicting mosquito activity is also essential for regulating human safety and health. High spatial and temporal variability, however, make it difficult to accurately predict mosquito abundances, which reduces the accuracy of general mechanistic models of mosquito abundances. It is required to create a more straightforward and lightweight mosquito abundance forecast model as a result. In this study, we evaluated the effectiveness of the artificial neural network (ANN), a well-liked empirical model, for predicting mosquito abundance.

The outcomes demonstrated that the ANN model and the MLR model's performances were nearly identical in terms of R and root mean square error (RMSE). In contrast to MLR, the ANN model was able to forecast the high variability. The ANN model's sensitivity analysis revealed that it adequately explained the relationships between the input variables and mosquito abundances. In conclusion, ANNs have the capacity to forecast changes in mosquito populations (especially the extreme values), and they can do so better than conventional statistical methods.

<h3>What is artificial neural network?</h3>

Computing systems inspired by the biological neural networks that make up animal brains are known as artificial neural networks (ANNs), also known as neural networks (NNs), or even more simply, neural nets.

To learn more about artificial neural network from the given link:

brainly.com/question/25653113

#SPJ4

8 0
2 years ago
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