Answer:
1) Where this drying out occurs?
2) Why this happen in these locations?
3) What factors responsible for this drying out?
Explanation:
1) Where this drying out occurs? 2) Why this happen in these locations? 3) What factors responsible for this drying out?
These are the three questions which give all the information to the geographer and helpful to understand about the drying out that happens in the rainforest environments. With these questions, the geographer will get the information about why and where this occurs and the factors responsible for this happening.
Answer:
Explanation:
An underlying cause was the growing racial tension in a rapidly-changing city and economy, with competition for jobs, housing, and political power. The violence did not end until after Governor Joseph M.
A Temporal Investigation of Crash Severity Factors in Worker-Involved Work Zone Crashes: Random Parameters and Machine Learning Approaches:
Reason:
In the context of work zone safety, worker presence and its impact on crash severity has been less explored. Moreover, there is a lack of research on contributing factors by time-of-day. To accomplish this, first a mixed logit model was used to determine statistically significant crash severity contributing factors and their effects. Significant factors in both models included work-zone-specific characteristics and crash-specific characteristics, where environmental characteristics were only significant in the daytime model. In addition, results from parameter transferability test provided evidence that daytime and nighttime crashes need to be modeled separately. Further, to explore the nonlinear relationship between crash severity levels and time-of-day, as well as compare the effects of variables to that of the logit model and assess prediction performance, a Support Vector Machines (SVM)
What is meant by machine learning approach?
Machine Learning is an AI technique that teaches computers to learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model.
Learn more about random parameter approach:
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Answer:
This best illustrates the value of negative reinforcement.
Explanation:
Negative reinforcement refers to removing an aversive stimulus. For example, in the given scenario, the father put the movie in to get rid of the constant crying and whining of the son. He did not do so out of love or any other positive emotion. We, as humans, practice negative reinforcement multiple times to cope up with certain situations. The idea is more common among parents with young children.
