Sources for a history of the ternary diagram

Howarth, Richard J.

doi:10.1017/s000708740003449x

Cited by 45 publications

(22 citation statements)

References 30 publications

(9 reference statements)

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“…To investigate the relative contribution of the three factors that promote disease outbreak, we proposed a new variant of an epidemiological triangle inspired by a ternary plot [67]. The diagram consists of an equilateral triangle where each altitude of the triangle corresponds to one factor (i.e.…”

Section: Epidemiological Triangle Modelmentioning

confidence: 99%

Hibernation temperature-dependentPseudogymnoascus destructansinfection intensity in Palearctic bats

et al. 2018

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White-nose syndrome (WNS) is a fungal disease caused by Pseudogymnoascus destructans that is devastating to Nearctic bat populations but tolerated by Palearctic bats. Temperature is a factor known to be important for fungal growth and bat choice of hibernation. Here we investigated the effect of temperature on the pathogenic fungal growth in the wild across the Palearctic. We modelled body surface temperature of bats with respect to fungal infection intensity and disease severity and were able to relate this to the mean annual surface temperature at the site. Bats that hibernated at lower temperatures had less fungal growth and fewer skin lesions on their wings. Contrary to expectation derived from laboratory P. destructans culture experiments, natural infection intensity peaked between 5 and 6°C and decreased at warmer hibernating temperature. We made predictive maps based on bat species distributions, temperature and infection intensity and disease severity data to determine not only where P. destructans will be found but also where the infection will be invasive to bats across the Palearctic. Together these data highlight the mechanistic model of the interplay between environmental and biological factors, which determine progression in a wildlife disease.

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Section: Epidemiological Triangle Modelmentioning

confidence: 99%

Hibernation temperature-dependentPseudogymnoascus destructansinfection intensity in Palearctic bats

et al. 2018

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“…Roozeboom (1894) further modified the shape of the triangle to project the phase relations onto an equilateral triangle. Additional improvements were realized by Bancroft, who introduced grid lines within a triangular plot and prepared the original graphs accordingly (Bancroft, 1897a;Howarth, 1996). Further, Bancroft (1897aBancroft ( , 1897b proposed that a triangular ternary phase diagram should be combined with three orthogonal binary phase diagrams.…”

Section: Introductionmentioning

confidence: 99%

Three–dimensional visualization of ternary prisms (T–prism): Development of a spreadsheet–based tool for Earth and material sciences

Kawabata

Shimura

2019

Journal of Mineralogical and Petrological Sciences

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T-prism is a Microsoft-Excel-based tool that visualizes ternary space diagrams (i.e., ternary prisms) in threedimensional (3D) space. This tool allows us to examine the overall features of a dataset in both three-and twodimensional spaces by altering the viewing angles. T-prism involves two algorithms that coordinate the transformation and rotation of diagrams in a virtual 3D space. This paper describes a new and simple coordinate transformation from a ternary space diagram (i.e., ternary prisms) to an XYZ orthogonal system. Coordinates of a point of interest in the ternary space diagram, expressed using the proportions of three components of a basal triangle (r, l, and t, where r + l + t = 100) and an additional variable (h), are converted into coordinates in the orthogonal system as follows: x = (r + 100 − l)/2, y = ffiffi ffi 3 p /2t, and z = fh. Here, f represents the correction factor used to appropriately express the length of an axis perpendicular to the basal ternary diagram. T-prism is particularly suitable for visualizing phase relations in multicomponent systems, the physical properties of materials, and compositional variations in solid solutions. Hence, the tool is applicable to a broad variety of research and teaching fields, including Earth science, material science, and physical chemistry.

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“…A dependent variable can be represented in different ways, for example, using contour plot or shaded surface. For more information, see [ 18 ].…”

Section: Methodsmentioning

confidence: 99%

Robust Grape Detector Based on SVMs and HOG Features

Škrabánek

Doležel

2017

Computational Intelligence and Neuroscience

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Detection of grapes in real-life images is a serious task solved by researchers dealing with precision viticulture. In the case of white wine varieties, grape detectors based on SVMs classifiers, in combination with a HOG descriptor, have proven to be very efficient. Simplified versions of the detectors seem to be the best solution for practical applications. They offer the best known performance versus time-complexity ratio. As our research showed, a conversion of RGB images to grayscale format, which is implemented at an image preprocessing level, is ideal means for further improvement of performance of the detectors. In order to enhance the ratio, we explored relevance of the conversion in a context of a detector potential sensitivity to a rotation of berries. For this purpose, we proposed a modification of the conversion, and we designed an appropriate method for a tuning of such modified detectors. To evaluate the effect of the new parameter space on their performance, we developed a specialized visualization method. In order to provide accurate results, we formed new datasets for both tuning and evaluation of the detectors. Our effort resulted in a robust grape detector which is less sensitive to image distortion.

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Sources for a history of the ternary diagram

Cited by 45 publications

References 30 publications

Hibernation temperature-dependentPseudogymnoascus destructansinfection intensity in Palearctic bats

Hibernation temperature-dependentPseudogymnoascus destructansinfection intensity in Palearctic bats

Three–dimensional visualization of ternary prisms (T–prism): Development of a spreadsheet–based tool for Earth and material sciences

Robust Grape Detector Based on SVMs and HOG Features

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