111,129 research outputs found
Letter from Seth Low
Whittier House scrapbooks document Whittier House programs, events, and anniversary celebrations through newspaper clippings, lecture fliers, newsletters, event programs, and ticket stubs. Newspaper clippings are primarily from the Jersey Journal. There is also Whittier House fundraising materials, including pamphlets, appeal letters, brochures, and postcards. The Whittier House Social Settlement, the first settlement house in New Jersey, was established in Jersey City, N.J. (Hudson County) in 1894. Founded by Cornelia Foster Bradford, who would remain with the organization as headworker until 1926, Whittier House was based on the settlement house, Toynbee Hall, in England. Whittier House provided various recreational and educational programs, along with much needed social services, for the immigrant populations of Jersey City. Many of these successful services were used as models for large-scale social reform movements through the state. In 1935, the Whittier House was taken over by the Boys' Club of Jersey City
Payne, Kenneth. Kenneth Payne interview, March 20, 1987.
Kenneth Payne discusses history of Twillingate area, family history and working at Horwood lumber company in St. John's. He started working there as a boy in a low job, and spent his life working at that company, rising up to manager
A globally convergent flow for computing the best low rank approximation of a matrix
Driessel, Kenneth R.. (2007). A globally convergent flow for computing the best low rank approximation of a matrix. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/4360
Use of Fourier-Transform Infrared Spectroscopy for the Diagnosis of Failure of Transfer of Passive Immunity and Measurement of Immunoglobulin Concentrations in Horses
Background: The economic, accurate, and rapid screening of foals for failure of transfer of passive immunity (FPT) is essential to ensure timely intervention. Hypothesis: Infrared (IR) spectroscopy of foal sera and pattern recognition may be used to diagnose FPT and quantify serum IgG. Samples: Sera from 194 foals (24–72 hours) with serum immunoglobulin G (IgG) concentrations determined previously by radial immunodiffusion assay (RID) were used. Methods: IR spectra were recorded for the serum samples, and the data were randomly divided into training and independent test sets, each containing both FPT-positive (IgG <400 mg/dL) and non-FPT samples. A genetic optimal region selection algorithm and linear discriminant analysis were used to partition the training spectra, and the resulting classifier was then validated by comparing the IR-predicted FPT status for each of the test samples to that provided by the RID IgG assay. A quantitative IR-based assay for IgG was developed using partial least squares (PLS) and validated by testing its ability to predict IgG concentrations. Results: Specificity, sensitivity, and accuracy for the combined data were 92.5, 96.8, and 95.9%, respectively. Corresponding positive (88.1%) and negative predictive (98.0%) values determined a success rate of 95–97% as compared to RID-based IgG concentrations. The IR-based quantitative assay yielded correlation coefficients for IR spectroscopy versus RID-based IgG concentrations of 0.90 and 0.86 for the training and test sets, respectively. Conclusions and Clinical Importance: The overall performance of the IR-based test was similar to that of the colorimetric assay and was superior and more economic than other available tests.Christopher B. Riley, J.T. McClure, Sarah Low-Ying, and R. Anthony Sha
Gaussian process models for preliminary low-thrust trajectory optimization
Low-thrust trajectories can benefit the search for propellant-optimal trajectories, but increases in modeling complexity and computational load remain a challenge for efficient mission design and optimization. In this paper, an approach for developing models utilizing Gaussian Process (GP) regression and classification is proposed to perform computationally efficient optimization while obtaining acceptable accuracies for trajectories based on exponential sinusoid shaping. The goal of this work is to predict a combination of values of input variables which corresponds to a shape-based trajectory with the smallest total velocity increment (ΔV) or propellant mass fraction (J m). A GP classification model is constructed to assess whether a given combination of values of input variables corresponds to a feasible trajectory. GP regression models are developed to predict the total ΔV and J m corresponding to a combination of shape parameters, which can replace the required integration along the shape. In addition, advanced regression models are developed to predict the target values while requiring only three input parameters, thereby replacing the entire shape computation. In order to develop a GP model that fits the problem at hand, the underlying functions and parameters should be selected rationally. In this work, a novel model development approach is proposed to ensure that the mean function, covariance function, likelihood function, inference method, and hyperparameters, which dominate the performance of the models, are chosen rationally in terms of mean absolute percentage error (MAPE) and prediction time. Using this approach, GP models are developed and tested on transfer trajectories from Earth to Mars and Ceres, and from Mars to Earth, and their performance, in terms of MAPE and prediction time, is compared to that of more common optimization techniques in combination with the exponential sinusoid and other shape-based methods. The results demonstrate that the computation time can significantly be reduced while achieving promising MAPE’s, especially when the goal is to locate regions of feasible or near-optimal trajectories. The proposed model development procedure is tested for robustness, which provides confidence in the proposed approach. Furthermore, it is found that the models which map three input variables directly to a ΔV or J m value perform better than the ones trained with shape information, which demonstrates the strength of GP models as applied to low-thrust trajectory optimization. Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Astrodynamics & Space Mission
Swing low, sweet chariot
Arranged by Kenneth Amis
Physical Description: 1 score (11 pages) + 5 parts ; 28 c
Supplemental_Materials - Inflammation as a Cancer Co-Initiator: New Mechanistic Model Predicts Low/Negligible Risk at Noninflammatory Carcinogen Doses
Supplemental_Materials for Inflammation as a Cancer Co-Initiator: New Mechanistic Model Predicts Low/Negligible Risk at Noninflammatory Carcinogen Doses by Kenneth T. Bogen in Dose-Response</p
The Costs of Low Birth Weight
Birth weight has emerged as the leading indicator of infant health and welfare and the central focus of infant health policy. This is because low birth weight (LBW) infants experience severe health and developmental difficulties that can impose enormous costs on society. But would the prevention of LBW generate equally sizable cost savings and health improvements? Estimates of the return to LBW-prevention from cross-sectional associations may be biased by omitted variables that cannot be influenced by policy, such as genetic factors. To address this, we compare the hospital costs, health at birth, and infant mortality rates between heavier and lighter infants from all twin pairs born in the United States. We also examine the effect of maternal smoking during pregnancy the leading risk factor for LBW in the United States on health among singleton births after controlling for detailed background characteristics. Both analyses imply substantially smaller effects of LBW than previously thought, suggesting two possibilities: 1) existing estimates overstate the true costs and consequences of LBW by at least a factor of four and by as much as a factor of 20; or 2) different LBW-preventing interventions have different health and cost consequences, implying that policy efforts that presume a single return to reducing LBW will necessarily be suboptimal.
jDHBenelux Author Template
This repository contains the latest official GitHub hosted versions of the LaTeX template that authors are required to use when they finalize their contribtions to the DH Benelux Journal. The repository synchronises with the corresponding easy-to-use and well-documented Overleaf Template that provides authors with a low threshold environment for writing LaTeX – but can be used with any LaTeX compiler.
About this Release: Apart from some minor changes to the .cls, v2.0 introduces a number of new files to improve open source development with git and GitHub, including a README, a CC-BY 4.0 License, and a .gitignore file. It also prepares the repository for synchronisation with Zenodo, to improve sustainability.
Full Changelog: https://github.com/DHBenelux/jDHBenelux-author-template/compare/v1.1...v2.
Emerging low-carbon urban mega-projects
This is the author accepted manuscript. The final version is available from Springer via the DOI in this recordThis chapter focuses on the recent trend in some geographical locations (particularly China and the United Arab Emirates) towards building large-scale low-carbon city projects. These low-carbon cities are increasingly being described as mega-projects due to their scale and involvement of large-scale experimental approaches to ways of organizing the low-carbon city. The chapter discusses some of the main trends towards the development of low-carbon eco-city projects since 2000, and then introduces the two main low-carbon city mega-projects currently being developed
- …
