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When crossing pea plants, Mendel noticed that one of the parental traits would sometimes disappear in the first generation of offspring, called the F1 generation, and could reappear in the next generation (F2). He concluded that one of the traits must be dominant over the other, thereby causing masking of one trait in the F1 generation. When he crossed the F1 plants, he found that 75% of the offspring in the F2 generation had the dominant phenotype, while 25% had the recessive phenotype.
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Segregation in fresh concrete is a phenomenon where the components of the concrete mix separate, leading to uneven distribution and compromised structural integrity. This separation typically occurs when concrete is subjected to excessive horizontal movement within forms, or when it is dropped from considerable heights or forced through narrow, winding paths. As a result, heavier coarse aggregate particles settle at the bottom, while lighter, finer materials such as cement and water rise to the...
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Live Cell Imaging of Chromosome Segregation During Mitosis
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Segregation through the multiscalar lens.

Madalina Olteanu1,2, Julien Randon-Furling3, William A V Clark4

  • 1Statistique, Analyse et Modélisation Multidisciplinaire, Université Paris 1 Panthéon Sorbonne, 75013 Paris, France; madalina.olteanu@univ-paris1.fr.

Proceedings of the National Academy of Sciences of the United States of America
|June 1, 2019
PubMed
Summary
This summary is machine-generated.

This study presents a new mathematical framework for analyzing urban segregation across different scales and groups. The method offers a practical tool for comparing ethnic mixing in metropolitan areas like Los Angeles.

Keywords:
multiscalar analysissegregationspatial statistics

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Area of Science:

  • Spatial analysis
  • Urban studies
  • Sociology

Background:

  • Understanding urban segregation is crucial for social and economic policy.
  • Existing methods for spatial segregation analysis have limitations in multiscalar and multigroup comparisons.

Purpose of the Study:

  • To introduce a novel mathematical framework for multiscalar and multigroup spatial exploratory analysis of urban regions.
  • To provide a practical and powerful tool for the comparative empirical analysis of urban segregation.

Main Methods:

  • Development of a mathematical framework for spatial exploratory analysis.
  • Production of normalized coefficients integrating information across all scales.
  • Normalization with respect to theoretical maximally segregated configurations.

Main Results:

  • The framework enables comprehensive analysis of spatial patterns of segregation.
  • Coefficients provide a standardized measure for comparing segregation across different urban areas.
  • The method is effective in illustrating ethnic mixing patterns in the Los Angeles metropolitan area.

Conclusions:

  • The proposed framework offers a robust approach to studying urban segregation.
  • It facilitates comparative empirical analysis of segregation across diverse urban contexts.
  • This tool can inform urban planning and policy-making related to diversity and inclusion.