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Most generative models for clustering implicitly assume that the number of data points in each cluster grows linearly with the total number of data points. Finite mixture models, Dirichlet process mixture models, and Pitman--Yor process…

统计方法学 · 统计学 2015-12-03 Jeffrey Miller , Brenda Betancourt , Abbas Zaidi , Hanna Wallach , Rebecca C. Steorts

Single-cell experiments revealed substantial variability in generation times, growth rates but also in birth and division sizes between genetically identical cells. Understanding how these fluctuations determine the fitness of the…

种群与进化 · 定量生物学 2025-03-24 Arthur Genthon

Guidelines for growing insulin crystals of a uniform size are formulated and tested experimentally. A simple theoretical model based on the balance of matter predicts the time evolution of the crystal size and supersaturation. The time…

材料科学 · 物理学 2013-01-11 Christo N. Nanev , Vesselin D. Tonchev , Feyzim V. Hodzhaoglu

Cell cortex contraction is essential for shaping cells, enabling movement, ensuring proper division, maintaining tissue integrity, guiding development, and responding to mechanical signals - all critical for the life and health of…

The evolution of star clusters is studied using N-body simulations in which the evolution of single stars and binaries are taken self-consistently into account. Initial conditions are chosen to represent relatively young Galactic open…

天体物理学 · 物理学 2015-06-24 Simon F. Portegies Zwart , Stephen L. W. McMillan , Piet Hut , Junichiro Makino

In many cellular signaling pathways, key components form clusters at the cell membrane. Although much work has focused on the mechanisms behind such cluster formation, the implications for downstream signaling remain poorly understood.…

分子网络 · 定量生物学 2012-03-14 Andrew Mugler , Aimee Gotway Bailey , Koichi Takahashi , Pieter Rein ten Wolde

The observed properties of young star clusters, such as the core radius and luminosity profile, change rapidly during the early evolution of the clusters. Here we present observations of 6 young clusters in M51 where we derive their sizes…

天体物理学 · 物理学 2009-11-13 N. Bastian , M. Gieles , S. P. Goodwin , G. Trancho , L. J. Smith , I. Konstantopoulos , Yu. Efremov

A fundamental issue discussed in evolutionary biology is the transition from unicellular to multicellular organisms. Here we develop non-robust models provided in [1] and attempt to get robust models investigated how differentiation of…

种群与进化 · 定量生物学 2015-12-15 Denis Tverskoy

Tumors are defined by their intense proliferation, but sometimes cancer cells turn senescent and stop replicating. In the stochastic cancer model in which all cells are tumorigenic, senescence is seen as the result of random mutations,…

组织与器官 · 定量生物学 2013-08-29 Caterina A. M. La Porta , Stefano Zapperi , James P. Sethna

Cancer cells are known to modify their micro-environment such that it can sustain a larger population, or, in ecological terms, they construct a niche which increases the carrying capacity of the population. It has however been argued that…

种群与进化 · 定量生物学 2015-09-02 Philip Gerlee , Alexander R. A. Anderson

Terrestrial ecosystems are generally green and only a small part (<10%) of the plant matter is consumed by herbivores annually,but the reason has been unclear due to the lack of food web models for predicting the absolute herbivore biomass…

种群与进化 · 定量生物学 2016-05-24 Kotaro Konno

To provide insight into the basic properties of emerging structures when bacteria or other microorganisms conquer surfaces, it is crucial to analyze their growth behavior during the formation of thin films. In this regard, many theoretical…

软凝聚态物质 · 物理学 2025-05-23 Yuta Kuroda , Takeshi Kawasaki , Andreas M. Menzel

We propose a cell segmentation method for analyzing images of densely clustered cells. The method combines the strengths of marker-controlled watershed transformation and a convolutional neural network (CNN). We demonstrate the method…

图像与视频处理 · 电气工程与系统科学 2020-04-06 Filip Lux , Petr Matula

Individual cells exhibit specific proliferative responses to changes in microenvironmental conditions. Whether such potential is constrained by the cell density throughout the growth process is however unclear. Here, we identify a…

Developing epithelial tissues coordinate cell proliferation and mechanical forces to achieve proper size and shape. As epithelial cells tightly adhere together to form the confluent tissue, the distribution of cell areas significantly…

生物物理 · 物理学 2026-01-22 Michael F. Staddon , Natalie A. Dye , Marko Popović , Frank Jülicher

Clusters are the dense inner regions of a wide-spread hierarchy of young stellar structures. They often reveal a continuation of this hierarchy inside of them, to smaller scales, when they are young, but orbital mixing eventually erases…

天体物理学 · 物理学 2007-05-23 Bruce G. Elmegreen

Growth and folding in one-layered model tissue sheets are studied in a stochastic, lattice-free single cell model which considers the discrete cellular structure of the tissue, and a coarse grained analytical approach. The polarity of the…

统计力学 · 物理学 2007-05-23 Dirk Drasdo

We introduce a general theoretical framework to study the shape dynamics of actively growing and remodeling surfaces. Using this framework we develop a physical model for growing bacterial cell walls and study the interplay of cell shape…

生物物理 · 物理学 2016-04-08 Shiladitya Banerjee , Norbert F. Scherer , Aaron R. Dinner

Heterogeneous systems of active matter exhibit a range of complex emergent dynamical patterns. In particular, it is difficult to predict the properties of the mixed system based on its constituents. These considerations are particularly…

软凝聚态物质 · 物理学 2021-04-07 Shlomit Peled , Shawn D. Ryan , Sebastian Heidenreich , Markus Bar , Gil Ariel , Avraham Be'er

Contact inhibition plays a crucial role in the motility of cells, the process of wound healing, and the formation of tumors. By mimicking the mechanical motion of calls crawling on a substrate using a pseudopod, we constructed a minimal…

软凝聚态物质 · 物理学 2016-11-28 Simon Kaspar Schnyder , Yuki Tanaka , John Jairo Molina , Ryoichi Yamamoto