Inferring the most probable maps of underground utilities using Bayesian mapping model

Scholars in children's literature have frequently commented on the humorous and ideological functions of intertextuality. There has however, been little discussion of the cognitive processes at work in intertextual interpretation and how they provide readers with more interpretive freedom in the meaning-making process. Drawing on research from the field of metaphor studies and the interdisciplinary area of cognitive poetics, this article suggests that the interpretation of foregrounded intertextuality is analogous to the interpretation of metaphoric expression. Current models of metaphor interpretation are discussed before I outline my own intertextuality-based variant. The cross-mapping model developed is then applied to literary intertexts in Inkheart and cultural intertexts in Starcross in order to show how the model might work with intertexts of varying degrees of specificity and that serve different narrative functions. The explanatory power of the cross-mapping model is not limited to cases where elements in the primary storyworld can be directly matched with those in the intertext, but extends to instances that involve a recasting of the intertext and thus retelling as in Princess Bride.

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Bayesian Mapping of Quantitative Trait Loci for Complex Binary Traits

Genetics ◽

10.1093/genetics/155.3.1391 ◽

2000 ◽

Vol 155 (3) ◽

pp. 1391-1403

Author(s):

Nengjun Yi ◽

Shizhong Xu

Keyword(s):

Quantitative Trait Loci ◽

Bayesian Statistics ◽

Quantitative Trait ◽

Data Augmentation ◽

Threshold Model ◽

Binary Trait ◽

Monte Carlo Algorithm ◽

Binary Traits ◽

Trait Loci ◽

Bayesian Mapping

Abstract A complex binary trait is a character that has a dichotomous expression but with a polygenic genetic background. Mapping quantitative trait loci (QTL) for such traits is difficult because of the discrete nature and the reduced variation in the phenotypic distribution. Bayesian statistics are proved to be a powerful tool for solving complicated genetic problems, such as multiple QTL with nonadditive effects, and have been successfully applied to QTL mapping for continuous traits. In this study, we show that Bayesian statistics are particularly useful for mapping QTL for complex binary traits. We model the binary trait under the classical threshold model of quantitative genetics. The Bayesian mapping statistics are developed on the basis of the idea of data augmentation. This treatment allows an easy way to generate the value of a hypothetical underlying variable (called the liability) and a threshold, which in turn allow the use of existing Bayesian statistics. The reversible jump Markov chain Monte Carlo algorithm is used to simulate the posterior samples of all unknowns, including the number of QTL, the locations and effects of identified QTL, genotypes of each individual at both the QTL and markers, and eventually the liability of each individual. The Bayesian mapping ends with an estimation of the joint posterior distribution of the number of QTL and the locations and effects of the identified QTL. Utilities of the method are demonstrated using a simulated outbred full-sib family. A computer program written in FORTRAN language is freely available on request.

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Research of vibration and crack propagation controls on an asymmetrical cracked rotor

Journal of Vibration and Control ◽

10.1177/1077546321998221 ◽

2021 ◽

pp. 107754632199822

Author(s):

Jun Liu ◽

Zhu Han ◽

Rong Hu

Keyword(s):

Crack Propagation ◽

Vibration Suppression ◽

Control Method ◽

Element Model ◽

Electromagnetic Actuator ◽

Contact Method ◽

Cracked Rotor ◽

Mapping Model ◽

Differential Control ◽

Opening And Closing

To investigate vibration characteristics and delay crack propagations of an asymmetric cracked rotor, the 3D finite element model of the rotor system with a nonlinear contact method is established. Resonance characteristics of the asymmetrical rotor without a crack and within different locations of a crack are investigated systematically. Numerical results show that a crack affects vibration frequencies and the unstable region of the rotor. Meanwhile, an improved proportional integral differential control method with the electromagnetic actuator is used to accomplish the delay crack propagation and the vibration suppression. Based on the mapping model of opening and closing states of a crack, the effects of rotational speeds, an unbalance, and asymmetries of the rotor are discussed in detail. Experimental results show that vibrations and the breathing behavior of cracks in the rotor with the electromagnetic actuator can be suppressed, and the effectiveness of the proposed mapping model of opening and closing states of a crack is verified.

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Characteristics of Droplet Spatter Behavior and Process-Correlated Mapping Model in Laser Powder Bed Fusion

Journal of Materials Research and Technology ◽

10.1016/j.jmrt.2021.02.043 ◽

2021 ◽

Author(s):

Di Wang ◽

Wenhao Dou ◽

Yuanhui Ou ◽

Yongqiang Yang ◽

Chaolin Tan ◽

...

Keyword(s):

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed ◽

Mapping Model

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A Fuzzy Logic Model for Hourly Electrical Power Demand Modeling

Electronics ◽

10.3390/electronics10040448 ◽

2021 ◽

Vol 10 (4) ◽

pp. 448

Author(s):

Marco Antonio Islas ◽

José de Jesús Rubio ◽

Samantha Muñiz ◽

Genaro Ochoa ◽

Jaime Pacheco ◽

...

Keyword(s):

Fuzzy Logic ◽

New England ◽

Electrical Power ◽

Logic Model ◽

Power Demand ◽

Demand Modeling ◽

Mapping Model ◽

Fuzzy Logic Model ◽

Radial Basis

In this article, a fuzzy logic model is proposed for more precise hourly electrical power demand modeling in New England. The issue that exists when considering hourly electrical power demand modeling is that these types of plants have a large amount of data. In order to obtain a more precise model of plants with a large amount of data, the main characteristics of the proposed fuzzy logic model are as follows: (1) it is in accordance with the conditions under which a fuzzy logic model and a radial basis mapping model are equivalent to obtain a new scheme, (2) it uses a combination of the descending gradient and the mini-lots approach to avoid applying the descending gradient to all data.

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Damage Prevention for underground utilities using machine guidance

Automation in Construction ◽

10.1016/j.autcon.2019.102893 ◽

2019 ◽

Vol 107 ◽

pp. 102893 ◽

Cited By ~ 1

Author(s):

Waqas Arshad Tanoli ◽

Abubakar Sharafat ◽

Jaemin Park ◽

Jong Won Seo

Keyword(s):

Underground Utilities ◽

Damage Prevention

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Mapping and Analysis of Biomass Supply Chains in Andalusia and the Republic of Ireland

Sustainability ◽

10.3390/su12114595 ◽

2020 ◽

Vol 12 (11) ◽

pp. 4595

Author(s):

Jennifer Attard ◽

Helena McMahon ◽

Pat Doody ◽

Johan Belfrage ◽

Catriona Clark ◽

...

Keyword(s):

Critical Role ◽

Value Chains ◽

Biomass Feedstock ◽

Mapping Model ◽

Biomass Feedstocks ◽

Biomass Resource ◽

Wet Weight ◽

The Republic ◽

Biomass Availability ◽

Feedstock Availability

The bioeconomy can play a critical role in helping countries to find alternative sustainable sources of products and energy. Countries with diverse terrestrial and marine ecosystems will see diverging feedstock opportunities to develop these new value chains. Understanding the sources, composition, and regional availability of these biomass feedstocks is an essential first step in developing new sustainable bio-based value chains. In this paper, an assessment and analysis of regional biomass availability was conducted in the diverse regions of Andalusia and Ireland using a bioresource mapping model. The model provides regional stakeholders with a first glance at the regional opportunities with regards to feedstock availability and an estimate of the transportation costs associated with moving the feedstock to a different modelled location/region for the envisioned biorefinery plant. The analysis found that there were more than 30 million tonnes of (wet weight) biomass arisings from Ireland (84,000 km2) with only around 4.8 million tonnes from the Andalusian region (87,000 km2). The study found that Cork in Ireland stood out as the main contributor of biomass feedstock in the Irish region, with animal manures making the largest contribution. Meanwhile, the areas of Almería, Jaén, and Córdoba were the main contributors of biomass in the Andalusia region, with olive residues identified as the most abundant biomass resource. This analysis also found that, while considerable feedstock divergence existed within the regions, the mapping model could act as an effective tool for collecting and interpreting the regional data on a transnational basis.

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