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関連する概念動画

Gene-Environment Interactions01:20

Gene-Environment Interactions

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Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
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Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

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Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
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Real Number System01:27

Real Number System

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The real number system includes all numbers used for counting, measuring, and comparing quantities. Natural numbers are the basic counting numbers: 1, 2, 3, and so on. Integers expand this set by including zero and negative whole numbers: ..., –3, –2, –1, 0, 1, 2, .... Rational numbers are those that can be expressed as the ratio of two integers m/n, where n≠0. This includes fractions like 1/2​, integers such as 46, and decimals that terminate, such as 0.17, or...
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Activation Energy01:26

Activation Energy

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Activation energy is the minimum amount of energy necessary for a chemical reaction to move forward. The higher the activation energy, the slower the rate of the reaction. However, adding heat to the reaction will increase the rate, since it causes molecules to move faster and increase the likelihood that molecules will collide. The collision and breaking of bonds represents the uphill phase of a reaction and generates the transition state. The transition state is an unstable high-energy state...
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Real Number Operations01:27

Real Number Operations

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The concept of real numbers includes all the values that can be represented on a continuous number line. The system began with basic counting values used for enumeration. It later expanded to include values that represent the absence of quantity and opposites of the counting values. When situations required expressing parts of a whole or dividing quantities evenly, values capable of representing such proportions were developed. When written using decimal notation, these values can end or repeat...
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Secondary Active Transport01:55

Secondary Active Transport

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One example of how cells use the energy contained in electrochemical gradients is demonstrated by glucose transport into cells. The ion vital to this process is sodium (Na+), which is typically present in higher concentrations extracellularly than in the cytosol. Such a concentration difference is due, in part, to the action of an enzyme “pump” embedded in the cellular membrane that actively expels Na+ from a cell. Importantly, as this pump contributes to the high concentration of...
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Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
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現実世界の環境における歩行活動認識のための新しいデータセット

John C Mitchell1,2, Abbas A Dehghani-Sanij1, Shengquan Xie3

  • 1School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT, UK.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
まとめ

この研究では,コンテキストに配慮した人間の活動認識 (CAHAR) データセットを導入し,リモート歩行分析の改善のために活動と地形の両方をラベル付けする最初のデータセットです. このリソースは,落下リスク評価のための高度なウェアラブルセンサーモデルを可能にします.

キーワード:
フォースセンサー フォースセンサ人的活動認識 人的活動認識イネチアルセンサーリアルな環境,リアルな環境.センサーシステム センサーシステム地形 地形 地形ウェアラブルセンサーワイヤレスセンサーネットワーク

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科学分野:

  • バイオメカニクス バイオメカニクス
  • センサー技術 センサー技術
  • 機械学習 (Machine Learning) とは,機械学習 (Machine Learning) とは,機械学習 (Machine Learning) と呼ばれるものです.

背景:

  • 落下は,世界的な健康上の大きな懸念であり,落下リスクの特定には歩行分析が不可欠である.
  • ウェアラブルセンサーとディープラーニングは,遠隔歩行分析の可能性を秘め,データ品質と自動化を強化します.
  • 正確な人間活動認識 (HAR) と地形分類は,現実世界の歩行分析に不可欠です.

研究 の 目的:

  • 歩行分析における地形分類に適したデータセットの欠如に対処するため.
  • 文脈に配慮した人間活動認識 (CAHAR) データセット,最初の活動および地形ラベル付きデータセットを提示します.
  • 遠隔歩行分析のための高度な分類モデルの開発を促進する.

主な方法:

  • 慣性測定単位 (IMU),フォースセンシングレジスタ (FSR) インソール,カラーセンサー,LiDARを使用した20人の健康な参加者からデータを収集した.
  • 様々な屋内・屋外地形でデータを収集した.
  • 活動と地形のラベルを含むCAHARデータセットを開発しました.

主要な成果:

  • CAHARのデータセットは,人間の活動と環境の地形情報の両方を統合する,同種の最初のものです.
  • このデータセットは,HARと地形を同時に識別できるモデルの開発をサポートします.
  • ウェアラブルセンサを使用して,より洗練されたリモート歩行分析に向けた進歩を可能にします.

結論:

  • CAHARのデータセットは,歩行分析のためのウェアラブルセンサー技術の研究を進めるための重要なリソースです.
  • これは,より正確な落下リスク予測モデルを作成するための基盤を提供します.
  • 現実世界の歩行モニタリングと転落防止のためのインテリジェントシステムの開発を促進します.