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Longitudinal Research02:20

Longitudinal Research

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Long-term Potentiation01:25

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Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
LTP can occur when...
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Dynamic Equilibrium02:20

Dynamic Equilibrium

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A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
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Longitudinal Studies01:26

Longitudinal Studies

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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Escape Velocity01:26

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The escape velocity of an object is defined as the minimum initial velocity that it requires to escape the surface of another object to which it is gravitationally bound and never to return. For example, what would be the minimum velocity at which a satellite should be launched from the Earth's surface such that it just escapes the Earth's gravitational field?
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Long-Term Memory01:18

Long-Term Memory

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Long-term memory is a relatively permanent type of memory, capable of storing vast amounts of information over extended periods. Its storage capacity is generally considered unlimited.
Long-term memory can be categorized into two primary types: explicit and implicit memory. Explicit memory, also known as declarative memory, involves the conscious recollection of information that we deliberately try to remember, recall, and articulate. This type of memory encompasses specific facts, events, and...
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長いゲームを諦めないで

Stefan Raff-Heinen1, Fiona E Murray2

  • 1Stefan Raff-Heinen is a professor at the Institute for Digital Technology Management, Bern University of Applied Sciences, Bern, Switzerland, and a research affiliate at the MIT Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA.

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まとめ
この要約は機械生成です。

将来の進歩に不可欠な深層技術革新には 大規模な投資が必要です ディープテックに対する 連邦政府の支援の削減は 国家の競争力と安全を 危険にさらしています

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科学分野:

  • ディープテクノロジー
  • 科学的イノベーション
  • 技術の進歩

背景:

  • 生物生産やインテリジェント・マシンのような ディープ・テクノロジーは 社会的な進歩を促します
  • これらのイノベーションは 医療,エネルギー,産業の 将来の進歩に不可欠です
  • ディープテック開発には,R&D,人材,時間,資金など,かなりのリソースが必要です.

研究 の 目的:

  • ディープテクノロジーの重要な役割を強調する
  • 継続的な連邦政府の投資の必要性を強調します
  • 政府の大学研究費削減の結果を警告する.

主な方法:

  • ディープテクノロジー部門の分析
  • 政府の資金がイノベーションに与える影響の検討
  • R&D支援の減少に伴うリスクの評価

主要な成果:

  • ディープ・テクノロジーは 国家の進歩と安全保障に不可欠です
  • アメリカ政府は歴史的に ディープ・テクノロジーの 主な資金提供者でした
  • 連邦政府の支援の削減は ディープテックの生態系を危険にさらしています

結論:

  • 持続的な連邦投資は 技術的リーダーシップを維持するために不可欠です
  • ディープテックへの資金削減は 経済競争力と国家の安全を脅かしています
  • 大学での研究保護は将来のイノベーションにとって不可欠です.