Founding brothers: Leland, buck, and cappon and the formation of the archives profession (session 404)

This session on archives history examines the role of three individuals-Waldo G. Leland (1879-1966), Solon J. Buck (1884-1962), and Lester J. Cappon (1900-1981)-in the formation of the archives profession in the United States in the first three-quarters of the twentieth century. These "founding brothers" published extensively, but they also created and maintained personal manuscript collections that reflect how they viewed themselves and how they wanted to be remembered. Four archivists/historians track through the lenses of the papers of the "founding brothers" the emergence of professional history to the beginnings of public history with their alliance and tension with archival science as a distinct profession

Rural Older Adults and Functional Health Literacy:Testing Self-efficacy, Knowledge and Skills Resulting from Hands-on Health Promotion

Functional Health Literacy (FHL) involves the knowledge, skills and belief in self-efficacy to use health care information in self-care. FHL is critical for rural older adults since they are at risk of poor health care outcomes. As part of the Senior Health University project, we measured the FHL of rural older adults before and after educational sessions that included hands-on skill building. Ninety-eight participants aged 60 and older were recruited from five rural congregate meal sites over two years. Survey methods allowed for paired sample t-tests of FHL variables. Findings included significant post-training increases in FHL, suggesting the potential benefit of FHL training for rural older adults. Andersen’s (1995) Behavioral Model of Health Services Use guided this study of the effects of health promotion on health services use, standardization of practical measurement tools, and examination of modalities in rural settings. Research is needed to test the relationship of increased FHL and use of health services by rural participants and to explore the role of online resources and service use in vulnerable older adult populations

Birth and prenatal care outcomes of Latina mothers in the Trump era: Analysis by nativity and country/region of origin

We examined whether and how birth outcomes and prenatal care utilization among Latina mothers changed over time across years associated with the Trump sociopolitical environment, using restricted-use birth records from the National Center for Health Statistics (NCHS). To assess potential variation among subpopulations, we disaggregated the analyses by maternal nativity and country/region of origin. Our results indicate that both US- and foreign-born Latina mothers experienced increasingly higher risks of delivering low birthweight (LBW) and preterm birth (PTB) infants over the years associated with Trump’s political career. Among foreign-born Latinas, adverse birth outcomes increased significantly among mothers from Mexico and Central America but not among mothers from Puerto Rico, Cuba, and South America. Levels of inadequate prenatal care utilization remained largely unchanged among groups who saw increases in LBW and PTB, suggesting that changes in prenatal care did not generally explain the observed worsening of birth outcomes among Latina mothers during the Trump era. Results from this study draw attention to the possibility that the Trump era may have represented a source of chronic stress among the Latinx population in the US and add to the growing body of literature linking racism and xenophobia in the sociopolitical environment to declines in health among Latinx people, especially among targeted groups from Mexico and Central America

The Unexpected Role of Evolving Longitudinal Electric Fields in Generating Energetic Electrons in Relativistically Transparent Plasmas

Superponderomotive-energy electrons are observed experimentally from the interaction of an intense laser pulse with a relativistically transparent target. For a relativistically transparent target, kinetic modeling shows that the generation of energetic electrons is dominated by energy transfer within the main, classically overdense, plasma volume. The laser pulse produces a narrowing, funnel-like channel inside the plasma volume that generates a field structure responsible for the electron heating. The field structure combines a slowly evolving azimuthal magnetic field, generated by a strong laser-driven longitudinal electron current, and, unexpectedly, a strong propagating longitudinal electric field, generated by reflections off the walls of the funnel-like channel. The magnetic field assists electron heating by the transverse electric field of the laser pulse through deflections, whereas the longitudinal electric field directly accelerates the electrons in the forward direction. The longitudinal electric field produced by reflections is 30 times stronger than that in the incoming laser beam and the resulting direct laser acceleration contributes roughly one third of the energy transferred by the transverse electric field of the laser pulse to electrons of the super-ponderomotive tail

A Bright Spatially-Coherent Compact X-ray Synchrotron Source

Each successive generation of x-ray machines has opened up new frontiers in science, such as the first radiographs and the determination of the structure of DNA. State-of-the-art x-ray sources can now produce coherent high brightness keV x-rays and promise a new revolution in imaging complex systems on nanometre and femtosecond scales. Despite the demand, only a few dedicated synchrotron facilities exist worldwide, partially due the size and cost of conventional (accelerator) technology. Here we demonstrate the use of a recently developed compact laser-plasma accelerator to produce a well-collimated, spatially-coherent, intrinsically ultrafast source of hard x-rays. This method reduces the size of the synchrotron source from the tens of metres to centimetre scale, accelerating and wiggling a high electron charge simultaneously. This leads to a narrow-energy spread electron beam and x-ray source that is >1000 times brighter than previously reported plasma wiggler and thus has the potential to facilitate a myriad of uses across the whole spectrum of light-source applications.Comment: 5 pages, 4 figure

Partially obscured human detection based on component detectors using multiple feature descriptors

This paper presents a human detection system based on component detector using multiple feature descriptors. The contribution presents two issues for dealing with the problem of partially obscured human. First, it presents the extension of feature descriptors using multiple scales based Histograms of Oriented Gradients (HOG) and parallelogram based Haar-like feature (PHF) for improving the accuracy of the system. By using multiple scales based HOG, an extensive feature space allows obtaining high-discriminated features. Otherwise, the PHF is adaptive limb shapes of human in fast computing feature. Second, learning system using boosting classifications based approach is used for training and detecting the partially obscured human. The advantage of boosting is constructing a strong classification by combining a set of weak classifiers. However, the performance of boosting depends on the kernel of weak classifier. Therefore, the hybrid algorithms based on AdaBoost and SVM using the proposed feature descriptors is one of solutions for robust human detection.This paper presents a human detection system based on component detector using multiple feature descriptors. The contribution presents two issues for dealing with the problem of partially obscured human. First, it presents the extension of feature descriptors using multiple scales based Histograms of Oriented Gradients (HOG) and parallelogram based Haar-like feature (PHF) for improving the accuracy of the system. By using multiple scales based HOG, an extensive feature space allows obtaining high-discriminated features. Otherwise, the PHF is adaptive limb shapes of human in fast computing feature. Second, learning system using boosting classifications based approach is used for training and detecting the partially obscured human. The advantage of boosting is constructing a strong classification by combining a set of weak classifiers. However, the performance of boosting depends on the kernel of weak classifier. Therefore, the hybrid algorithms based on AdaBoost and SVM using the proposed feature descriptors is one of solutions for robust human detection

Women and Illegal Activities: Gender Differences and Women's Willingness to Comply Over Time

In recent years the topics of illegal activities such as corruption or tax evasion have attracted a great deal of attention. However, there is still a lack of substantial empirical evidence about the determinants of compliance. The aim of this paper is to investigate empirically whether women are more willing to be compliant than men and whether we observe (among women and in general) differences in attitudes among similar age groups in different time periods (cohort effect) or changing attitudes of the same cohorts over time (age effect) using data from eight Western European countries from the World Values Survey and the European Values Survey that span the period from 1981 to 1999. The results reveal higher willingness to comply among women and an age rather than a cohort effect. Working Paper 06-5