標(biāo)題: Titlebook: Cellular Automaton Modeling of Biological Pattern Formation; Characterization, Ex Andreas Deutsch,Sabine Dormann Textbook 2017Latest editio [打印本頁(yè)] 作者: 貪吃的人 時(shí)間: 2025-3-21 18:12
書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation影響因子(影響力)
書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation影響因子(影響力)學(xué)科排名
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書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation被引頻次
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書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation讀者反饋
書(shū)目名稱Cellular Automaton Modeling of Biological Pattern Formation讀者反饋學(xué)科排名
作者: PAEAN 時(shí)間: 2025-3-21 20:38 作者: Ibd810 時(shí)間: 2025-3-22 01:59
https://doi.org/10.1007/978-3-322-87349-1cepts and has even triggered new concepts. In the first part, a historical excursion highlights static and dynamic space-time and corresponding mathematical concepts. Pattern forming principles in biology are introduced in the second part.作者: indemnify 時(shí)間: 2025-3-22 07:30 作者: 腐蝕 時(shí)間: 2025-3-22 10:11 作者: overbearing 時(shí)間: 2025-3-22 13:15 作者: overbearing 時(shí)間: 2025-3-22 20:08
Cellular Automataore, we present strategies to analyze spatio-temporal pattern formation in cellular automaton models. In subsec.?., the so-called mean-field theory is presented as an approximative method to study dynamic properties of cellular automata.作者: Halfhearted 時(shí)間: 2025-3-22 23:26 作者: 不能和解 時(shí)間: 2025-3-23 03:15 作者: indoctrinate 時(shí)間: 2025-3-23 05:44 作者: AVID 時(shí)間: 2025-3-23 12:50 作者: MITE 時(shí)間: 2025-3-23 16:31
Das polizeiliche Ermittlungsverfahrenon, some examples are given in table?.. Mathematically, similar models can be applied even if the nature of the components is different. For example, the motion of pollen in a liquid and the spread of mutations in a genetic population can in certain limits both be described by a diffusion equation.作者: enmesh 時(shí)間: 2025-3-23 18:33
https://doi.org/10.1007/978-3-322-87403-0and cell differentiation, chemical processes involve signaling and physical interactions are mediated predominantly by adhesive forces. All these processes are intertwined in order to produce particular tissue shapes.作者: 打算 時(shí)間: 2025-3-23 23:45 作者: seruting 時(shí)間: 2025-3-24 03:09
Andreas Deutsch,Sabine DormannAn accessible presentation with an interdisciplinary approach to cellular automaton models of biological pattern formation.Includes three new chapters on cell migration, tissue development, and cancer作者: 祖先 時(shí)間: 2025-3-24 06:49
Modeling and Simulation in Science, Engineering and Technologyhttp://image.papertrans.cn/c/image/223001.jpg作者: 不適當(dāng) 時(shí)間: 2025-3-24 11:34
Mathematical Modeling of Biological Pattern Formationt mathematics cannot only describe static form but also the change of form (Thompson .) (cp. subsec.?2.2.6). In the following chapter, an overview of mathematical models of biological pattern formation is presented.作者: lipoatrophy 時(shí)間: 2025-3-24 17:57 作者: 不遵守 時(shí)間: 2025-3-24 21:08 作者: abject 時(shí)間: 2025-3-24 23:57
Cellular Automaton Modeling of Biological Pattern Formation978-1-4899-7980-3Series ISSN 2164-3679 Series E-ISSN 2164-3725 作者: opprobrious 時(shí)間: 2025-3-25 04:35 作者: 不真 時(shí)間: 2025-3-25 10:50
https://doi.org/10.1007/978-3-322-87366-8yonic morphogenesis, wound healing, immune reactions, or tumor growth. Mathematical models allow for the analysis of cell migration strategies involving complex feedback mechanisms between cells and their microenvironment. Here, we introduce lattice-gas cellular automaton models for different types of cell migration in heterogeneous environments.作者: 思想 時(shí)間: 2025-3-25 14:51 作者: Confirm 時(shí)間: 2025-3-25 19:29
Beatrice Dernbach,Egbert M. Reinholdal patterns form? Biological organisms are characterized by their genomes. The letters of the genetic alphabet (the nucleotides), their precise arrangement in selected organisms (the gene sequence), and the molecular structure of a large number of encoded proteins are public today. However, analysis作者: 閃光你我 時(shí)間: 2025-3-25 22:38 作者: 甜瓜 時(shí)間: 2025-3-26 00:52
https://doi.org/10.1007/978-3-322-87349-1t mathematics cannot only describe static form but also the change of form (Thompson .) (cp. subsec.?2.2.6). In the following chapter, an overview of mathematical models of biological pattern formation is presented.作者: Gratulate 時(shí)間: 2025-3-26 05:15 作者: CEDE 時(shí)間: 2025-3-26 11:05
Das polizeiliche Ermittlungsverfahreniable unit as molecules, biological cells, or organisms. The motion of particles in space can be . or ., . or . (if the motion is biased by particle interaction with themselves or with their environment), and . or .. Although it is not always obvious to identify essential properties of particle moti作者: 呼吸 時(shí)間: 2025-3-26 16:33 作者: Alopecia-Areata 時(shí)間: 2025-3-26 16:59
,Junge elektronische Massenm?rkte,tomata are not able to generate any patterns as we demonstrated by Fourier analysis of the dominant modes which never become unstable. However, coupling of diffusion with an appropriate “reaction” may generate patterns – we presented an example of (diffusion-limited) growth patterns generated as the作者: BARB 時(shí)間: 2025-3-26 22:02
https://doi.org/10.1007/978-3-322-87389-7 across many scales ranging from subcellular systems, bacteria, normal and malignant cells, to insects, fish, birds, and mammals. Examples include cytoskeletal patterns, bacterial swarms, bird flocks, and fish schools. Other well-known examples at the cellular level are streaming patterns of the cel作者: Prostatism 時(shí)間: 2025-3-27 05:05 作者: Ancillary 時(shí)間: 2025-3-27 08:58 作者: 懲罰 時(shí)間: 2025-3-27 12:36
https://doi.org/10.1007/978-3-322-87415-3eractions of discrete objects, particularly of interacting discrete biological cells. In this book, cellular automata are proposed as models for spatially extended systems of interacting cells. Cellular automata are neither a replacement for (or discretization of) traditional (continuous) mathematic作者: 放肆的我 時(shí)間: 2025-3-27 16:52 作者: 生命層 時(shí)間: 2025-3-27 20:44
Springer Science+Business Media New York 2017作者: Synovial-Fluid 時(shí)間: 2025-3-27 22:01
Definitionen und Struktur der Stichprobe,In this chapter, an LGCA?is introduced as model for pattern formation in salamander larvae. After providing the biological background the model is defined and tested by means of simulations. Model results demonstrate that the larval stripe pattern can arise solely as a consequence of direct cell interactions.作者: 玉米 時(shí)間: 2025-3-28 04:37 作者: 系列 時(shí)間: 2025-3-28 08:26 作者: Anhydrous 時(shí)間: 2025-3-28 10:27
Turing Patterns and Excitable MediaIn this chapter we demonstrate how cellular automata can be used to analyze Turing-type interactions and excitable media. In particular, we show that mean-field analysis of the cellular automaton models allows to deduce the important pattern characteristics observed in simulations.作者: padding 時(shí)間: 2025-3-28 15:09 作者: 無(wú)效 時(shí)間: 2025-3-28 20:19
Alignment and Cellular Swarming .). Two simple properties are responsible for many of the emergent swarming behaviors and patterns: 1. the ability to move, and 2. the ability to sense and respond to neighboring agents, often in a noisy environment. Collective motion and swarming dynamics in systems as different as the interior of作者: Throttle 時(shí)間: 2025-3-28 23:44
Beatrice Dernbach,Egbert M. Reinholdormation characterizing subsequent developmental stages. Mathematical modeling is strongly needed to discover the self-organization principles of interacting cell systems (Deutsch et al. .). Still, an open question is: what are appropriate mathematical models, how can they be analyzed, and which spe作者: 阻礙 時(shí)間: 2025-3-29 07:08 作者: DAUNT 時(shí)間: 2025-3-29 09:54 作者: 乏味 時(shí)間: 2025-3-29 12:13
Textbook 2017Latest editionigment cell pattern formation, tissue development, tumor growth and invasion, and Turing-type patterns and excitable media. ?In the final chapter, the authors critically discuss possibilities and limitations of the cellular automaton approach in modeling various biological applications, along with f作者: entitle 時(shí)間: 2025-3-29 17:26
Cellular Automaton Modeling of Biological Pattern FormationCharacterization, Ex作者: evaculate 時(shí)間: 2025-3-29 22:52
