The disadvantage of wolf captivation is that it restricts the sample size which prevents to make a conclusion on the species.
Explanation:
To study the behavior of the wolves that are kept in captivation during their feeding times, food enrichment programmes are performed. The feeding sessions were proved to be quite useful in studying the stereotype behavior of the wolf.
However, this study is experimented on small samples and on restricted environment that doesn’t represent the actual environment of a zoo where wolves are allowed to behave as per their nature.
Answer:
C. Joining of self-replication molecules into protocells.
Explanation:
For the origin of life, at least three conditions are needed.
- there must have been a supply of replicators, that is, self-replicating molecules.
- copying of these replicators must have been subject to error through mutation.
- the system of replicators must have required a continuous supply of free energy and partial isolation from the general environment.
The radiation received from the sun on the early earth must have fulfilled the requirement of mutation. The mutation is necessary for bringing variation in the genetic material thus driving evolution. To protect the self-replicating molecules from the external environment and to keep them together, the molecules must have been enclosed in a membrane barrier, which should be selectively semipermeable, to facilitate the exchange of molecules.
Answer:
2:random
Explanation:
Mutations are RANDOMLY caused by mistakes in the DNA replication process there is no telling when they will happen, nor is there a way to force mutations!
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Answer:
10
Explanation:
(6−
6
3
)2−
(4)(3)
2
=(6−2)2−
(4)(3)
2
=42−
(4)(3)
2
=16−
(4)(3)
2
=16−
12
2
=16−6
https://www.mathpapa.com/algebra-calculator.html
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 a
rtificial 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
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