Answer:
It should change. The representation of popular votes compared to the electoral college votes sometimes differ. There shouldn't be a difference in the winner.
Explanation:
D. Opportunity cost
Because in the end if you want something you have to work for it, no matter what. Everything generally costs money in this world
The correct answer is - fertile soil.
The Great European Plain, also referred to as the Russian Plain, is dominated by lowlands, naturally covered with dense grasses, and is known for its fertile soil. Most of the soil in this large plain is has very rich and deep upper, humus layer. The reason for this is that the grasses that grow their die out each year, and as they die out they decompose very quickly, giving the soil a new layer of decomposed biomass each year.
Because of the properties of the soil, this the region of Europe that is heavily used for farming, mostly crops like the wheat, hops, and corn. The conditions are excellent for them, they do not take a lot of the soil, and also contribute to keeping the soil very fertile constantly with their decomposing roots and steams.
Answer: O<em>ption (B) is correct.</em>
Explanation:
In discipline such as sociology, Interactionism also known as an interactionist perspective is referred to as a theoretical perspective under which one tends to derive social processes from interaction or conversation. It can also be referred to as the study/research of how an individual shape their society or are in return shaped by the society via meaning which tends to arise in conversations.
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. ...
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