Answer:
Disintegrated and disorganized personality type
Explanation:
Disintegrated and disorganized is the personality type that is given by Jorge. In this personality, the person has the least successful aging occur. In this type of personality, a person shows deformities physically and psychologically during aging.
We can take an example X have difficulty in his aging. X dress up like when he was in his 20th year. X dyed his hair and go in the bar on Saturday. X children are worried about looking at the behavior of their father. Instead of behaving in a manner such as a grandparent, he behaves like grandchildren. This is an example of a disorganized personality type.
Explanation:
Likeness:
Likeness is the most important characteristic of society. Famous sociologist Maclver opines that society means likeness. Without a sense of likeness, there could be no mutual recognition of' belonging together' and therefore no society.
It is the most developed country Dubai is very technological country in the world it is it is developed more than USA and its population is around 300 million and its ATP is 5 million per month
Answer:
Traci is using the conflict resolution technique of <u><em>Withdrawing / Avoiding</em></u>.
Explanation:
In conflict resolutions among two parties in an organization, there are various techniwues that could be adopted which would determine the results that would be achieved.
<em>The one adopted by Traci is called withdrawing? Avoiding technique as a result of his absolute silence in the bickering situation.</em>
Markerless motion capture and understanding of professional non-daily human movements is an important yet unsolved task, which suffers from complex motion patterns and severe self-occlusion, especially for the monocular setting. In this paper, we propose SportsCap -- the first approach for simultaneously capturing 3D human motions and understanding fine-grained actions from monocular challenging sports video input.
About SportCaps :
SportsCap proposes a challenging sports dataset called Sports Motion and Recognition Tasks (SMART) dataset, which contains per-frame action labels, manually annotated pose, and action assessment of various challenging sports video clips from professional referees.
Their approaches :
This is especially prevalent in non-daily action classes like fitness and sports domains. This can be mitigated, for example, by annotating domain-specific datasets , but that requires a considerable amount of manual annotation efforts, financial resources, and 3D annotations can only be obtained in controlled conditions. Therefore, we propose to learn domain-specific pose-sensitive representations from unlabeled videos, which can be fine tuned using only a small labeled dataset. ...
Learn more about Monocular 3 D Human :
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