cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1279394.v243
title: Early ovariectomy reveals the germline encoding of the “natural” mammalian anti-A-reactive IgM reflecting developmental malignancy.

description: The germline encoding of a non-immune immunoglobulin M (IgM) molecule in mammals was experimentally documented for the first time as a result of the specifically timed ovariectomy of C57BL/10 mice. The target of this innate antibody involves a trans-species developmental antigen that signifies malignancy when expressed in any non-developmental tissue. Although ovariectomy and castration result in uncontrolled and/or enhanced humoral and cellular immunity involving increased weights of the spleen and thymus with pronounced B and T cell production, the development of mercaptoethanol-sensitive, complement-binding, non-immune anti-A reactivity in murine plasma was not enhanced after an ovariectomy that was performed in C57BL/10 mice prior to the onset of puberty. This non-immune murine anti-A, which is complementary to the trans-species, syngeneic ovarian GalNAc-glycan-bearing glycolipids and distinct from the cross-reactive adaptive anti-A antibody, was strongly downregulated or did not appear in plasma of animals ovariectomized at the age of 20 days. Thus, contrary to our previous view, this reactivity is unlikely to originate from a somatic, primary immune or autoimmune response. All of the murine tissues expressed the species-specific Forssman<i> </i>reactivity, and further A-like structures were identified in the male and female reproductive and endodermal organs by reaction with innate human anti-A antibody, while the murine anti-A was exclusively inhibited by syngeneic ovarian glycolipids. Moreover, the early ovarian tissue, which represents a last evolutionary and/or developmental location, showed a developmental polymorphism characterized by reactivity to the lectin from <i>Dolichos biflorus</i> and the agglutinin from <i>Helix pomatia </i>indicating the functional involvement of the <i>O</i>-GalNAc-determined mucin-type A-like, Tn and T (Thomsen-Friedenreich) epitopes that signify malignancy when accumulated and expressed in non-developmental tissues.
DOI: 10.6084/m9.figshare.1266503
title: Jump Detection In Blurred Regression Surfaces

description: We consider the problem of detecting jump location curves of regression surfaces when they are spatially blurred and contaminated pointwise by random noise. This problem is common in various applications, including equi-temperature surface estimation in meteorology and oceanography and edge detection in image processing. In the literature, most existing jump-detection methods are developed under the assumption that there is no blurring involved, or that the blurring mechanism described by a point spread function (psf) is completely specified. In this article, we propose four possible jump detectors, without imposing restrictive assumptions on either the psf or the true regression surface. Their theoretical and numerical properties are studied and compared. We also propose a new quantitative metric for measuring the performance of a jump detector. A data-driven bandwidth selection procedure via the bootstrap is suggested as well. This article has supplementary material online.
DOI: 10.6084/m9.figshare.1266504
title: Multivariate Exponential Smoothing and Dynamic Factor Model Applied to Hourly Electricity Price Analysis

description: Thanks to its very simple recursive computing scheme, exponential smoothing has become a popular technique to forecast time series. In this work, we show the advantages of its multivariate version and present some properties of the model, which allows us to perform a dynamic factor analysis. This analysis leads to a simple methodology to reduce the number of parameters (useful when the dimension of observations is large) via a linear transformation that decomposes the multivariate process into independent univariate exponential smoothing processes, characterized by a single smoothing parameter that goes from zero (white-noise process) to one (random walk process). A computer implementation of the expectation-maximization (EM) algorithm has been built for the maximum likelihood estimation of the models. The practicality of the method is demonstrated by its application to hourly electricity price predictions in some day-ahead markets, such as Omel, Powernext, and Nord Pool markets, whose forecasts are given as examples. This article has supplementary material online.
DOI: 10.6084/m9.figshare.1266502.v2
title: Efficient Sequential Monte Carlo Sampling for Continuous Monitoring of a Radiation Situation

description: The monitoring of a radiation situation around a nuclear power plant is a demanding task due to the high uncertainty of all involved variables and limited availability of measurements from a sparse monitoring network. Assessment of the situation requires experienced specialists who may be unavailable during critical times. Our goal is to provide an automated method of instant radiation situation assessment that does not underestimate its uncertainty. We propose a state-space model based on an atmospheric dispersion model, local correction of a numerical weather model, and a temporal model of the released activity. This state-space model is highly nonlinear and evaluation of the likelihood function requires extensive numerical calculations. The sequential Monte Carlo method is one of the few options for estimating the state recursively. Since the simple bootstrap approach yields an extremely computationally demanding algorithm, we investigate the use of existing techniques for the design of a more efficient proposal density. We propose combining the Laplace approximation and various population Monte Carlo methods. Data from an existing monitoring network were used to calibrate relevant parts of the model. Performance of the methods in a real radiation emergency situation is evaluated in a simulated experiment due to the lack of real data. The proposed tailor-made proposal was found to be much more computationally efficient than previously published methods. The adaptive Monte Carlo methods thus represent a compelling computational approach for the evaluation of probabilistic environmental models. The data used and a Python implementation of the methods are available as supplementary material online.
DOI: 10.6084/m9.figshare.1279394.v244
title: Early ovariectomy reveals the germline encoding of the “natural” mammalian anti-A-reactive IgM reflecting developmental malignancy.

description: The germline encoding of a non-immune immunoglobulin M (IgM) molecule in mammals was experimentally documented for the first time as a result of the specifically timed ovariectomy of C57BL/10 mice. The target of this innate antibody involves a trans-species developmental antigen that signifies malignancy when expressed in any non-developmental tissue. Although ovariectomy and castration result in uncontrolled and/or enhanced humoral and cellular immunity involving increased weights of the spleen and thymus with pronounced B and T cell production, the development of mercaptoethanol-sensitive, complement-binding, non-immune anti-A reactivity in murine plasma was not enhanced after an ovariectomy that was performed in C57BL/10 mice prior to the onset of puberty. This non-immune murine anti-A, which is complementary to the trans-species, syngeneic ovarian GalNAc-glycan-bearing glycolipids and distinct from the cross-reactive adaptive anti-A antibody, was strongly downregulated or did not appear in plasma of animals ovariectomized at the age of 20 days. Thus, contrary to our previous view, this reactivity is unlikely to originate from a somatic, primary immune or autoimmune response. All of the murine tissues expressed the species-specific Forssman<i> </i>reactivity, and further A-like structures were identified in the male and female reproductive and endodermal organs by reaction with innate human anti-A antibody, while the murine anti-A was exclusively inhibited by syngeneic ovarian glycolipids. Moreover, the early ovarian tissue, which represents a last evolutionary and/or developmental location, showed a developmental polymorphism characterized by reactivity to the lectin from <i>Dolichos biflorus</i> and the agglutinin from <i>Helix pomatia </i>indicating the functional involvement of the <i>O</i>-GalNAc-determined mucin-type A-like, Tn and T (Thomsen-Friedenreich) epitopes that signify malignancy when accumulated and expressed in non-developmental tissues.
DOI: 10.6084/m9.figshare.1266503.v2
title: Jump Detection In Blurred Regression Surfaces

description: We consider the problem of detecting jump location curves of regression surfaces when they are spatially blurred and contaminated pointwise by random noise. This problem is common in various applications, including equi-temperature surface estimation in meteorology and oceanography and edge detection in image processing. In the literature, most existing jump-detection methods are developed under the assumption that there is no blurring involved, or that the blurring mechanism described by a point spread function (psf) is completely specified. In this article, we propose four possible jump detectors, without imposing restrictive assumptions on either the psf or the true regression surface. Their theoretical and numerical properties are studied and compared. We also propose a new quantitative metric for measuring the performance of a jump detector. A data-driven bandwidth selection procedure via the bootstrap is suggested as well. This article has supplementary material online.
DOI: 10.6084/m9.figshare.1266504.v2
title: Multivariate Exponential Smoothing and Dynamic Factor Model Applied to Hourly Electricity Price Analysis

description: Thanks to its very simple recursive computing scheme, exponential smoothing has become a popular technique to forecast time series. In this work, we show the advantages of its multivariate version and present some properties of the model, which allows us to perform a dynamic factor analysis. This analysis leads to a simple methodology to reduce the number of parameters (useful when the dimension of observations is large) via a linear transformation that decomposes the multivariate process into independent univariate exponential smoothing processes, characterized by a single smoothing parameter that goes from zero (white-noise process) to one (random walk process). A computer implementation of the expectation-maximization (EM) algorithm has been built for the maximum likelihood estimation of the models. The practicality of the method is demonstrated by its application to hourly electricity price predictions in some day-ahead markets, such as Omel, Powernext, and Nord Pool markets, whose forecasts are given as examples. This article has supplementary material online.
DOI: 10.6084/m9.figshare.1266502.v1
title: Efficient Sequential Monte Carlo Sampling for Continuous Monitoring of a Radiation Situation

description: The monitoring of a radiation situation around a nuclear power plant is a demanding task due to the high uncertainty of all involved variables and limited availability of measurements from a sparse monitoring network. Assessment of the situation requires experienced specialists who may be unavailable during critical times. Our goal is to provide an automated method of instant radiation situation assessment that does not underestimate its uncertainty. We propose a state-space model based on an atmospheric dispersion model, local correction of a numerical weather model, and a temporal model of the released activity. This state-space model is highly nonlinear and evaluation of the likelihood function requires extensive numerical calculations. The sequential Monte Carlo method is one of the few options for estimating the state recursively. Since the simple bootstrap approach yields an extremely computationally demanding algorithm, we investigate the use of existing techniques for the design of a more efficient proposal density. We propose combining the Laplace approximation and various population Monte Carlo methods. Data from an existing monitoring network were used to calibrate relevant parts of the model. Performance of the methods in a real radiation emergency situation is evaluated in a simulated experiment due to the lack of real data. The proposed tailor-made proposal was found to be much more computationally efficient than previously published methods. The adaptive Monte Carlo methods thus represent a compelling computational approach for the evaluation of probabilistic environmental models. The data used and a Python implementation of the methods are available as supplementary material online.
DOI: 10.6084/m9.figshare.1266503.v1
title: Jump Detection In Blurred Regression Surfaces

description: We consider the problem of detecting jump location curves of regression surfaces when they are spatially blurred and contaminated pointwise by random noise. This problem is common in various applications, including equi-temperature surface estimation in meteorology and oceanography and edge detection in image processing. In the literature, most existing jump-detection methods are developed under the assumption that there is no blurring involved, or that the blurring mechanism described by a point spread function (psf) is completely specified. In this article, we propose four possible jump detectors, without imposing restrictive assumptions on either the psf or the true regression surface. Their theoretical and numerical properties are studied and compared. We also propose a new quantitative metric for measuring the performance of a jump detector. A data-driven bandwidth selection procedure via the bootstrap is suggested as well. This article has supplementary material online.
DOI: 10.6084/m9.figshare.1266504.v1
title: Multivariate Exponential Smoothing and Dynamic Factor Model Applied to Hourly Electricity Price Analysis

description: Thanks to its very simple recursive computing scheme, exponential smoothing has become a popular technique to forecast time series. In this work, we show the advantages of its multivariate version and present some properties of the model, which allows us to perform a dynamic factor analysis. This analysis leads to a simple methodology to reduce the number of parameters (useful when the dimension of observations is large) via a linear transformation that decomposes the multivariate process into independent univariate exponential smoothing processes, characterized by a single smoothing parameter that goes from zero (white-noise process) to one (random walk process). A computer implementation of the expectation-maximization (EM) algorithm has been built for the maximum likelihood estimation of the models. The practicality of the method is demonstrated by its application to hourly electricity price predictions in some day-ahead markets, such as Omel, Powernext, and Nord Pool markets, whose forecasts are given as examples. This article has supplementary material online.
DOI: 10.6084/m9.figshare.1279394.v245
title: Early ovariectomy reveals the germline encoding of the “natural” mammalian anti-A-reactive IgM reflecting developmental malignancy.

description: The germline encoding of a non-immune immunoglobulin M (IgM) molecule in mammals was experimentally documented for the first time as a result of the specifically timed ovariectomy of C57BL/10 mice. The target of this innate antibody involves a trans-species developmental antigen that signifies malignancy when expressed in any non-developmental tissue. Although ovariectomy and castration result in uncontrolled and/or enhanced humoral and cellular immunity involving increased weights of the spleen and thymus with pronounced B and T cell production, the development of mercaptoethanol-sensitive, complement-binding, non-immune anti-A reactivity in murine plasma was not enhanced after an ovariectomy that was performed in C57BL/10 mice prior to the onset of puberty. This non-immune murine anti-A, which is complementary to the trans-species, syngeneic ovarian GalNAc-glycan-bearing glycolipids and distinct from the cross-reactive adaptive anti-A antibody, was strongly downregulated or did not appear in plasma of animals ovariectomized at the age of 20 days. Thus, contrary to our previous view, this reactivity is unlikely to originate from a somatic, primary immune or autoimmune response. All of the murine tissues expressed the species-specific Forssman<i> </i>reactivity, and further A-like structures were identified in the male and female reproductive and endodermal organs by reaction with innate human anti-A antibody, while the murine anti-A was exclusively inhibited by syngeneic ovarian glycolipids. Moreover, the early ovarian tissue, which represents a last evolutionary and/or developmental location, showed a developmental polymorphism characterized by reactivity to the lectin from <i>Dolichos biflorus</i> and the agglutinin from <i>Helix pomatia </i>indicating the functional involvement of the <i>O</i>-GalNAc-determined mucin-type A-like, Tn and T (Thomsen-Friedenreich) epitopes that signify malignancy when accumulated and expressed in non-developmental tissues.
DOI: 10.6084/m9.figshare.1266498
title: Restricted Likelihood Ratio Tests for Functional Effects in the Functional Linear Model

description: The goal of our article is to provide a transparent, robust, and computationally feasible statistical approach for testing in the context of scalar-on-function linear regression models. Assuming linearity between response and predictors, we are interested in testing for the necessity of functional effects. Our methods are motivated by and applied to a large longitudinal study involving diffusion tensor imaging of intracranial white matter tracts in a susceptible cohort. In the context of this study, we conduct hypothesis tests that are motivated by anatomical knowledge and support recent findings regarding the relationship between cognitive impairment and white matter demyelination. R code and data are in the examples of refund::rlrt.pfr(). Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.1266499
title: A Distribution-Free Multivariate Phase I Location Control Chart for Subgrouped Data from Elliptical Distributions

description: In quality control, a proper Phase I analysis is essential to the success of Phase II monitoring. A literature review reveals no distribution-free Phase I multivariate techniques in existence. This research develops a Phase I location control chart for multivariate elliptical processes. The resulting in-control reference sample can then be used to estimate the parameters for Phase II monitoring. Using Monte Carlo simulation, the proposed method is compared with the Hotelling's <i>T</i><sup>2</sup> Phase I chart. Although Hotelling's <i>T</i><sup>2</sup> chart is preferred when the data are multivariate normal, the proposed method is shown to perform significantly better under nonnormality. This article has supplementary material online.
DOI: 10.6084/m9.figshare.1266500
title: Fast Parallel Kriging-Based Stepwise Uncertainty Reduction With Application to the Identification of an Excursion Set

description: Stepwise uncertainty reduction (SUR) strategies aim at constructing a sequence of points for evaluating a function <i>f</i> in such a way that the residual uncertainty about a quantity of interest progressively decreases to zero. Using such strategies in the framework of Gaussian process modeling has been shown to be efficient for estimating the volume of excursion of <i>f</i> above a fixed threshold. However, SUR strategies remain cumbersome to use in practice because of their high computational complexity, and the fact that they deliver a single point at each iteration. In this article we introduce several multipoint sampling criteria, allowing the selection of batches of points at which <i>f</i> can be evaluated in parallel. Such criteria are of particular interest when <i>f</i> is costly to evaluate and several CPUs are simultaneously available. We also manage to drastically reduce the computational cost of these strategies through the use of closed form formulas. We illustrate their performances in various numerical experiments, including a nuclear safety test case. Basic notions about kriging, auxiliary problems, complexity calculations, R code, and data are available online as supplementary materials.
DOI: 10.6084/m9.figshare.1266498.v2
title: Restricted Likelihood Ratio Tests for Functional Effects in the Functional Linear Model

description: The goal of our article is to provide a transparent, robust, and computationally feasible statistical approach for testing in the context of scalar-on-function linear regression models. Assuming linearity between response and predictors, we are interested in testing for the necessity of functional effects. Our methods are motivated by and applied to a large longitudinal study involving diffusion tensor imaging of intracranial white matter tracts in a susceptible cohort. In the context of this study, we conduct hypothesis tests that are motivated by anatomical knowledge and support recent findings regarding the relationship between cognitive impairment and white matter demyelination. R code and data are in the examples of refund::rlrt.pfr(). Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.1279394.v246
title: Early ovariectomy reveals the germline encoding of the “natural” mammalian anti-A-reactive IgM reflecting developmental malignancy.

description: The germline encoding of a non-immune immunoglobulin M (IgM) molecule in mammals was experimentally documented for the first time as a result of the specifically timed ovariectomy of C57BL/10 mice. The target of this innate antibody involves a trans-species developmental antigen that signifies malignancy when expressed in any non-developmental tissue. Although ovariectomy and castration result in uncontrolled and/or enhanced humoral and cellular immunity involving increased weights of the spleen and thymus with pronounced B and T cell production, the development of mercaptoethanol-sensitive, complement-binding, non-immune anti-A reactivity in murine plasma was not enhanced after an ovariectomy that was performed in C57BL/10 mice prior to the onset of puberty. This non-immune murine anti-A, which is complementary to the trans-species, syngeneic ovarian GalNAc-glycan-bearing glycolipids and distinct from the cross-reactive adaptive anti-A antibody, was strongly downregulated or did not appear in plasma of animals ovariectomized at the age of 20 days. Thus, contrary to our previous view, this reactivity is unlikely to originate from a somatic, primary immune or autoimmune response. All of the murine tissues expressed the species-specific Forssman<i> </i>reactivity, and further A-like structures were identified in the male and female reproductive and endodermal organs by reaction with innate human anti-A antibody, while the murine anti-A was exclusively inhibited by syngeneic ovarian glycolipids. Moreover, the early ovarian tissue, which represents a last evolutionary and/or developmental location, showed a developmental polymorphism characterized by reactivity to the lectin from <i>Dolichos biflorus</i> and the agglutinin from <i>Helix pomatia </i>indicating the functional involvement of the <i>O</i>-GalNAc-determined mucin-type A-like, Tn and T (Thomsen-Friedenreich) epitopes that signify malignancy when accumulated and expressed in non-developmental tissues.