<span>The are two factors that may make a person identify with a certain class: The age of the person and then what they do. A 72-year old Athlete who has teenage children will likely identify as middle aged. He feels he's just as agile as he was in his 20s. The tack of time hasn't taken a toll on him. A 33-years old Michelle who has given birth to 5 kids feels she's getting past the middle age category, but she'll likely identify as middle aged because she's still still young--she's in her early 30s; changes like menopause hasn't kicked in yet. A 47-year old mother of 2 college-age girls will not identify as middle age. She has kids. Kids who, by virtue of age, can be referred to as middle aged. At her age, she has probably experience several bodily and psychological changes. A 67-year old man will identify as middle aged (by virtue of the position he's manning) although not to the same degree as the others since he's also able to perform his roles as the vice President. He can probably read without using glasses. He's also able to perform administrative task, and he feels he's can do what he did in his 30s. So my point is since women age faster than men; a women who's post menopausal or approaching it with college age kid will least likely claim to be middle aged. "I have kids your age" she would say.</span>
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:
A person who represents our country or state
Explanation:
Answer: D) a mental set
Explanation:
His mental set is giving him a procedure of wrong ways into the solving-problems. He is having mental set where he is convinced that the children will listen to him and that they will do their homework only if he is giving them threats which means that he is trying to control them with anger and fear.
Since his mental set is in a wrong way, he does not believe that kindness will bring him more productivity in class.
Answer:
Financial aid differs from other funding options in that it take many form : loans,bursaries, scholarships
