The Experts below are selected from a list of 58662 Experts worldwide ranked by ideXlab platform
Martin Wikelski - One of the best experts on this subject based on the ideXlab platform.
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Layered patterns in Nature, Medicine, and materials: quantifying anisotropic structures and cyclicity.
PeerJ, 2019Co-Authors: I Smolyar, Timothy G. Bromage, Martin WikelskiAbstract:Various natural patterns-such as terrestrial sand dune ripples, lamellae in vertebrate bones, growth increments in fish scales and corals, aortas and lamellar corpuscles in humans and animals-comprise layers of different thicknesses and lengths. Microstructures in manmade materials-such as alloys, perlite steels, polymers, ceramics, and ripples induced by laser on the surface of graphen-also exhibit layered structures. These layered patterns form a record of internal and external factors regulating pattern formation in their various systems, making it potentially possible to recognize and identify in their incremental sequences trends, periodicities, and events in the formation history of these systems. The morphology of layered systems plays a vital role in developing new materials and in biomimetic research. The structures and sizes of these two-dimensional (2D) patterns are characteristically anisotropic: That is, the number of layers and their absolute thicknesses vary significantly in different directions. The present work develops a method to quantify the morphological characteristics of 2D layered patterns that accounts for anisotropy in the object of study. To reach this goal, we use Boolean functions and an N-partite graph to formalize layer structure and thickness across a 2D plane and to construct charts of (1) "layer thickness vs. layer number" and (2) "layer area vs. layer number." We present a parameter disorder of layer structure (DStr) to describe the deviation of a study object's anisotropic structure from an isotropic analog and illustrate that charts and DStr could be used as local and global morphological characteristics describing various layered systems such as images of, for example, geological, atmospheric, medical, materials, forensic, plants, and animals. Suggested future experiments could lead to new insights into layered pattern formation.
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Layered patterns in Nature, Medicine and materials: quantification of anisotropic structures and cyclisity
2018Co-Authors: I Smolyar, Timothy G. Bromage, Martin WikelskiAbstract:Various natural patterns—such as terrestrial sand dune ripples, lamellae in vertebrate bones, growth increments in fish scales and corals, aorta and lamellar corpuscle of humans and animals—comprise layers of different thicknesses and lengths. Microstructures in manmade materials—such as alloys, perlite steels, polymers, ceramics, and ripples induced by laser on the surface of graphen—also exhibit layered structures. These layered patterns form a record of internal and external factors regulating pattern formation in their various systems, making it potentially possible to recognize and identify in their incremental sequences trends, periodicities, and events in the formation history of these systems. The morphology of layered systems plays a vital role in developing new materials and in biomimetic research. The structures and sizes of these two-dimensional (2-D) patterns are characteristically anisotropic: That is, the number of layers and their absolute thicknesses vary significantly in different directions. The present work develops a method to quantify the morphological characteristics of layered patterns that accounts for anisotropy in the object of study. To reach this goal, we use Boolean functions and an N-partite graph to formalize layer structure and thickness across a 2-D plane and to construct charts of 1) “layer thickness vs. layer number” and 2) “layer area vs. layer number.” We present a parameter for structural disorder in a layered pattern (DStr) to describe the deviation of a study object’s anisotropic structure from an isotropic analog and illustrate that charts and DStr could be used as local and global morphological characteristics describing various layered systems such as images of, for example, geological, atmospheric, medical, materials, forensic, plants, and animals. Suggested future experiments could lead to new insights into layered pattern formation.
I Smolyar - One of the best experts on this subject based on the ideXlab platform.
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Layered patterns in Nature, Medicine, and materials: quantifying anisotropic structures and cyclicity.
PeerJ, 2019Co-Authors: I Smolyar, Timothy G. Bromage, Martin WikelskiAbstract:Various natural patterns-such as terrestrial sand dune ripples, lamellae in vertebrate bones, growth increments in fish scales and corals, aortas and lamellar corpuscles in humans and animals-comprise layers of different thicknesses and lengths. Microstructures in manmade materials-such as alloys, perlite steels, polymers, ceramics, and ripples induced by laser on the surface of graphen-also exhibit layered structures. These layered patterns form a record of internal and external factors regulating pattern formation in their various systems, making it potentially possible to recognize and identify in their incremental sequences trends, periodicities, and events in the formation history of these systems. The morphology of layered systems plays a vital role in developing new materials and in biomimetic research. The structures and sizes of these two-dimensional (2D) patterns are characteristically anisotropic: That is, the number of layers and their absolute thicknesses vary significantly in different directions. The present work develops a method to quantify the morphological characteristics of 2D layered patterns that accounts for anisotropy in the object of study. To reach this goal, we use Boolean functions and an N-partite graph to formalize layer structure and thickness across a 2D plane and to construct charts of (1) "layer thickness vs. layer number" and (2) "layer area vs. layer number." We present a parameter disorder of layer structure (DStr) to describe the deviation of a study object's anisotropic structure from an isotropic analog and illustrate that charts and DStr could be used as local and global morphological characteristics describing various layered systems such as images of, for example, geological, atmospheric, medical, materials, forensic, plants, and animals. Suggested future experiments could lead to new insights into layered pattern formation.
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Layered patterns in Nature, Medicine and materials: quantification of anisotropic structures and cyclisity
2018Co-Authors: I Smolyar, Timothy G. Bromage, Martin WikelskiAbstract:Various natural patterns—such as terrestrial sand dune ripples, lamellae in vertebrate bones, growth increments in fish scales and corals, aorta and lamellar corpuscle of humans and animals—comprise layers of different thicknesses and lengths. Microstructures in manmade materials—such as alloys, perlite steels, polymers, ceramics, and ripples induced by laser on the surface of graphen—also exhibit layered structures. These layered patterns form a record of internal and external factors regulating pattern formation in their various systems, making it potentially possible to recognize and identify in their incremental sequences trends, periodicities, and events in the formation history of these systems. The morphology of layered systems plays a vital role in developing new materials and in biomimetic research. The structures and sizes of these two-dimensional (2-D) patterns are characteristically anisotropic: That is, the number of layers and their absolute thicknesses vary significantly in different directions. The present work develops a method to quantify the morphological characteristics of layered patterns that accounts for anisotropy in the object of study. To reach this goal, we use Boolean functions and an N-partite graph to formalize layer structure and thickness across a 2-D plane and to construct charts of 1) “layer thickness vs. layer number” and 2) “layer area vs. layer number.” We present a parameter for structural disorder in a layered pattern (DStr) to describe the deviation of a study object’s anisotropic structure from an isotropic analog and illustrate that charts and DStr could be used as local and global morphological characteristics describing various layered systems such as images of, for example, geological, atmospheric, medical, materials, forensic, plants, and animals. Suggested future experiments could lead to new insights into layered pattern formation.
Ulrike Harjes - One of the best experts on this subject based on the ideXlab platform.
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Platelets with dangerous cargo.
Nature reviews. Cancer, 2019Co-Authors: Ulrike HarjesAbstract:In a study published in Nature Medicine, Malehmir et al. have identified how platelet recruitment contributes to the development of nonalcoholic steatohepatitis and hepatocellular carcinoma in response to high-fat diets in mice.
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BETting on YAP-TAZ.
Nature reviews. Cancer, 2018Co-Authors: Ulrike HarjesAbstract:Two papers recently published in Nature Medicine and Science Signaling highlight the various interdependent or independent ways by which YAP and TAZ can affect tumour growth.
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From rock 'n' roll to heavy metal.
Nature reviews. Cancer, 2018Co-Authors: Ulrike HarjesAbstract:Three studies published in Developmental Cell, Nature and Nature Medicine shed new light on mechanisms of cancer-associated cachexia in early and advanced disease.
Thiago Carvalho - One of the best experts on this subject based on the ideXlab platform.
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COVID-19 Research in Brief: 13 June to 19 June, 2020
Nature Medicine, 2020Co-Authors: Thiago CarvalhoAbstract:Nature Medicine summarizes all the research you need to know this week to keep on top of how science is responding to the COVID-19 pandemic. All the research you need to know to keep on top of how science is responding to the COVID-19 pandemic
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COVID-19 Research in Brief: 6 June to 12 June, 2020
Nature Medicine, 2020Co-Authors: Thiago CarvalhoAbstract:Nature Medicine summarizes all the research you need to know this week to keep on top of how science is responding to the COVID-19 pandemic. All the research you need to know to keep on top of how science is responding to the COVID-19 pandemic
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COVID-19 Research in Brief: 30 May to 5 June, 2020
Nature Medicine, 2020Co-Authors: Thiago CarvalhoAbstract:Nature Medicine summarizes all the research you need to know this week to keep on top of how science is responding to the COVID-19 pandemic. All the research you need to know to keep on top of how science is responding to the COVID-19 pandemic
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COVID-19 Research in Brief: 23 May to 29 May, 2020
Nature Medicine, 2020Co-Authors: Thiago CarvalhoAbstract:All the research you need to know to keep on top of how science is responding to the COVID-19 pandemic Nature Medicine summarizes all the research you need to know this week to keep on top of how science is responding to the COVID-19 pandemic.
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COVID-19 Research in Brief: 16 May to 22 May, 2020
Nature Medicine, 2020Co-Authors: Thiago CarvalhoAbstract:All the research you need to know to keep on top of how science is responding to the COVID-19 pandemic Nature Medicine summarizes all the research you need to know this week to keep on top of how science is responding to the COVID-19 pandemic.
Timothy G. Bromage - One of the best experts on this subject based on the ideXlab platform.
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Layered patterns in Nature, Medicine, and materials: quantifying anisotropic structures and cyclicity.
PeerJ, 2019Co-Authors: I Smolyar, Timothy G. Bromage, Martin WikelskiAbstract:Various natural patterns-such as terrestrial sand dune ripples, lamellae in vertebrate bones, growth increments in fish scales and corals, aortas and lamellar corpuscles in humans and animals-comprise layers of different thicknesses and lengths. Microstructures in manmade materials-such as alloys, perlite steels, polymers, ceramics, and ripples induced by laser on the surface of graphen-also exhibit layered structures. These layered patterns form a record of internal and external factors regulating pattern formation in their various systems, making it potentially possible to recognize and identify in their incremental sequences trends, periodicities, and events in the formation history of these systems. The morphology of layered systems plays a vital role in developing new materials and in biomimetic research. The structures and sizes of these two-dimensional (2D) patterns are characteristically anisotropic: That is, the number of layers and their absolute thicknesses vary significantly in different directions. The present work develops a method to quantify the morphological characteristics of 2D layered patterns that accounts for anisotropy in the object of study. To reach this goal, we use Boolean functions and an N-partite graph to formalize layer structure and thickness across a 2D plane and to construct charts of (1) "layer thickness vs. layer number" and (2) "layer area vs. layer number." We present a parameter disorder of layer structure (DStr) to describe the deviation of a study object's anisotropic structure from an isotropic analog and illustrate that charts and DStr could be used as local and global morphological characteristics describing various layered systems such as images of, for example, geological, atmospheric, medical, materials, forensic, plants, and animals. Suggested future experiments could lead to new insights into layered pattern formation.
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Layered patterns in Nature, Medicine and materials: quantification of anisotropic structures and cyclisity
2018Co-Authors: I Smolyar, Timothy G. Bromage, Martin WikelskiAbstract:Various natural patterns—such as terrestrial sand dune ripples, lamellae in vertebrate bones, growth increments in fish scales and corals, aorta and lamellar corpuscle of humans and animals—comprise layers of different thicknesses and lengths. Microstructures in manmade materials—such as alloys, perlite steels, polymers, ceramics, and ripples induced by laser on the surface of graphen—also exhibit layered structures. These layered patterns form a record of internal and external factors regulating pattern formation in their various systems, making it potentially possible to recognize and identify in their incremental sequences trends, periodicities, and events in the formation history of these systems. The morphology of layered systems plays a vital role in developing new materials and in biomimetic research. The structures and sizes of these two-dimensional (2-D) patterns are characteristically anisotropic: That is, the number of layers and their absolute thicknesses vary significantly in different directions. The present work develops a method to quantify the morphological characteristics of layered patterns that accounts for anisotropy in the object of study. To reach this goal, we use Boolean functions and an N-partite graph to formalize layer structure and thickness across a 2-D plane and to construct charts of 1) “layer thickness vs. layer number” and 2) “layer area vs. layer number.” We present a parameter for structural disorder in a layered pattern (DStr) to describe the deviation of a study object’s anisotropic structure from an isotropic analog and illustrate that charts and DStr could be used as local and global morphological characteristics describing various layered systems such as images of, for example, geological, atmospheric, medical, materials, forensic, plants, and animals. Suggested future experiments could lead to new insights into layered pattern formation.
