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関連する概念動画

Biological Clocks and Seasonal Responses02:45

Biological Clocks and Seasonal Responses

The circadian—or biological—clock is an intrinsic, timekeeping, molecular mechanism that allows plants to coordinate physiological activities over 24-hour cycles called circadian rhythms. Photoperiodism is a collective term for the biological responses of plants to variations in the relative lengths of dark and light periods. The period of light-exposure is called the photoperiod.
Circadian Rhythms and Gene Regulation02:19

Circadian Rhythms and Gene Regulation

The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent years,...
Relative Frequency Histogram01:14

Relative Frequency Histogram

The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
Circadian Rhythms and Gene Regulation02:19

Circadian Rhythms and Gene Regulation

The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent years,...
Ranks01:02

Ranks

Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
Run Charts01:12

Run Charts

Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For example,...

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Updated: Jun 26, 2026

Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters
10:38

Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters

Published on: September 27, 2012

ランククロック.

Michael Batty1

  • 1Centre for Advanced Spatial Analysis, The Bartlett School, University College London, 1-19 Torrington Place, London WC1E 6BT, UK. m.batty@ucl.ac.uk

Nature
|December 1, 2006
PubMed
まとめ
この要約は機械生成です。

都市と企業の分布におけるランクサイズのスケーリングは,マイクロレベルの乱れを隠している. ニュー・ニュー・ニュー

さらに関連する動画

Preparing an Isotopically Pure 229Th Ion Beam for Studies of 229mTh
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Preparing an Isotopically Pure 229Th Ion Beam for Studies of 229mTh

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Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

関連する実験動画

Last Updated: Jun 26, 2026

Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters
10:38

Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters

Published on: September 27, 2012

Preparing an Isotopically Pure 229Th Ion Beam for Studies of 229mTh
10:42

Preparing an Isotopically Pure 229Th Ion Beam for Studies of 229mTh

Published on: May 3, 2019

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

科学分野:

  • 都市研究とは,都市研究です.
  • 経済地理は経済地理である.
  • 歴史社会学の歴史社会学について

背景:

  • 多くの現実世界の分布は,都市の大きさと同様,力法則に従っている.
  • 以前の研究では,これらの分布を静的に分析し,時間の動態が欠けていたことが多い.
  • マクロの安定性は,マイクロレベルのボラティリティとランクの変化を覆い隠すことができます.

研究 の 目的:

  • ランクサイズ分布の時間動態を分析する.
  • マイクロダイナミクスを研究するための新しいグラフィカル手法である"ランククロック"を導入する.
  • ランクサイズのスケーリングと従来の成長モデルの普遍性に挑戦する.

主な方法:

  • "ランククロック"を用いたグラフィック表現.
  • アメリカ (1790年−),イギリス (1901年−),世界 (430年−) の都市規模分布の分析.
  • 観察されたマイクロダイナミクスの比較と,従来の成長モデルからの予測.

主要な成果:

  • ランクサイズのスケーリングは普遍的ではありません;マイクロダイナミクスは,時間の経過とともに重要なランク変化を明らかにします.
  • 都市や文明は,大きさやランクにおいて急速な上昇と衰退を呈する.
  • "ランク・クロック"は,このマイクロレベルの乱れをマクロの安定分布の中で視覚化します.

結論:

  • 比例成長に基づく従来のモデルは,観察されたマイクロダイナミクスを説明できない.
  • ランクサイズのスケーリングの普遍性は,時間分析によって挑戦されています.
  • マイクロレベルの変動を考慮して,都市と経済のダイナミクスのより微妙な理解が必要である.