A theoretical and experimental investigation of the linear and nonlinear impulse responses from a magnetoplasma column

Linear and nonlinear responses of a magnetoplasma resulting from inhomogeneity in the background plasma density are studied. The plasma response to an impulse electric field was measured and the results are compared with the theory of an inhomogeneous cold plasma. Impulse responses were recorded for the different plasma densities, static magnetic fields, and neutral pressures and generally appeared as modulated, damped oscillations. The frequency spectra of the waveforms consisted of two separated resonance peaks. For weak excitation, the results correlate with the linear theory of a cold, inhomogeneous, cylindrical magnetoplasma. The damping mechanism is identified with that of phase mixing due to inhomogeneity in plasma density. With increasing excitation voltage, the nonlinear impulse responses display stronger damping and a small increase in the frequency of oscillation

PAST, PRESENT AND FUTURE: THE EVOLUTION AND DEVELOPMENT OF ELECTRONIC FINANCIAL MARKETS

Information Systems Working Papers Serie

GLOBAL ELECTRONIC MARKETS A PRELIMINARY REPORT OF FINDINGS

Information Systems Working Papers Serie

Confidential genetic testing and electronic health records: A survey of current practices among Huntington disease testing centers

BACKGROUND: Clinical care teams providing presymptomatic genetic testing often employ advanced confidentiality practices for documentation and result storage. However, patient requests for increased confidentiality may be in conflict with the legal obligations of medical providers to document patient care activities in the electronic health record (EHR). Huntington disease presents a representative case study for investigating the ways centers currently balance the requirements of EHRs with the privacy demands of patients seeking presymptomatic genetic testing. METHODS: We surveyed 23 HD centers (53% response rate) regarding their use of the EHR for presymptomatic HD testing. RESULTS: Our survey revealed that clinical care teams and laboratories have each developed their own practices, which are cumbersome and often include EHR avoidance. We found that a majority of HD care teams record appointments in the EHR (91%), often using vague notes. Approximately half of the care teams (52%) keep presymptomatic results of out of the EHR. CONCLUSION: As genetic knowledge grows, linking more genes to late-onset conditions, institutions will benefit from having professional recommendations to guide development of policies for EHR documentation of presymptomatic genetic results. Policies must be sensitive to the ethical differences and patient demands for presymptomatic genetic testing compared to those undergoing confirmatory genetic testing

Data fusion with artificial neural networks (ANN) for classification of earth surface from microwave satellite measurements

A data fusion system with artificial neural networks (ANN) is used for fast and accurate classification of five earth surface conditions and surface changes, based on seven SSMI multichannel microwave satellite measurements. The measurements include brightness temperatures at 19, 22, 37, and 85 GHz at both H and V polarizations (only V at 22 GHz). The seven channel measurements are processed through a convolution computation such that all measurements are located at same grid. Five surface classes including non-scattering surface, precipitation over land, over ocean, snow, and desert are identified from ground-truth observations. The system processes sensory data in three consecutive phases: (1) pre-processing to extract feature vectors and enhance separability among detected classes; (2) preliminary classification of Earth surface patterns using two separate and parallely acting classifiers: back-propagation neural network and binary decision tree classifiers; and (3) data fusion of results from preliminary classifiers to obtain the optimal performance in overall classification. Both the binary decision tree classifier and the fusion processing centers are implemented by neural network architectures. The fusion system configuration is a hierarchical neural network architecture, in which each functional neural net will handle different processing phases in a pipelined fashion. There is a total of around 13,500 samples for this analysis, of which 4 percent are used as the training set and 96 percent as the testing set. After training, this classification system is able to bring up the detection accuracy to 94 percent compared with 88 percent for back-propagation artificial neural networks and 80 percent for binary decision tree classifiers. The neural network data fusion classification is currently under progress to be integrated in an image processing system at NOAA and to be implemented in a prototype of a massively parallel and dynamically reconfigurable Modular Neural Ring (MNR)

Of buffalo and butchers : coupling traditional procurement studies with taphonomic analyses to explore intensive wild animal processing patterns at two Early Iron Age sites in the Kruger National Park

Located in northeastern South Africa in the Kruger National Park, the wilddominated faunal assemblages at Le6 and Le7 allow for a site-level examination of the treatment of wild species within the highly variable spectra of Early Iron Age animal use. Looking at hunting beyond pure subsistence choices, this paper couples traditional morphological analysis with taphonomic analysis and theoretical frameworks of intensification to ask new socially focussed zooarchaeological questions of these assemblages. Through this, both the procurement and processing methods utilized at Le6 and Le7 are identified and the significance of these choices is discussed. In so doing, the paper addresses possible specialization in both the hunting and the processing of large wild mammals. The socio-economic implications and potential drivers of these faunal choices are then considered within the broader context of the southern African Early Iron Age, and a potentially new faunal use strategy and site type are introduced.Les sites archéologiques Le6 et Le7 sont localisés dans le Parc National Kruger, au nord-est de l’Afrique du Sud. Les assemblages, qui sont dominés par des espèces sauvages, permettent une analyse intra-site du traitement spécifique des espèces sauvages au sein du large spectre des pratiques d’utilisation des ressources animales qui existent pour l’Age du Fer ancien. Dans cet article, la sphère cynégétique n’est pas abordée seulement sous l’angle des choix de subsistance. Il présente une approche plus large, qui recoupe les analyses morphologiques traditionnelles, les résultats taphonomiques ainsi que les cadres des théories d’intensification afin d’aborder des questions archéozoologiques novatrices, abordant l’aspect social des accumulateurs des ensembles fauniques. Ces méthodes d’analyse permettent d’identifier les stratégies d’acquisition et de traitement des ressources animales à Le6 et Le7 et de discuter l’importance des choix effectués. Parmi ces choix, nous discutons de la possibilité que les assemblages fauniques reflètent une spécialisation de la chasse et du traitement de grands mammifères sauvages. Les implications socio-économiques et les facteurs potentiels ayant mené à ces choix fauniques sont considérés dans le contexte de l’Age du Fer ancien d’Afrique australe. Enfin, sont introduits un nouveau type de stratégie d’utilisation des ressources animales et un nouveau type de site archéologique qui lui est associé.http://link.springer.com/journal/104372017-12-31hb2017Anthropology and Archaeolog

Remote sensing of volcanic ash clouds using special sensor microwave imager data

Measurements from the satellite-based special sensor microwave imager (SSM/I) were used to collect passive microwave radiation (19–85 GHz) for the August 19, 1992 (UT date), Crater Peak/Spurr volcanic cloud. This eruption was also imaged by a ground-based C-band radar system at Kenai, Alaska, 80 km away, and by the thermal infrared channels of the polar-orbiting advanced very high resolution radiometer (AVHRR). The SSM/I sensor detects scattering of Earth-emitted radiation by millimeter size volcanic ash particles. The size of ash particles in a volcanic ash cloud can be estimated by comparing the scattering at different microwave frequencies. The mass of particles in the volcanic ash cloud can be estimated by using a theoretical method based on Mie theory or by adapting the empirical methods used for estimating rainfall rates and accounting for the different dielectric constants of volcanic ash and raindrops. For the August 19, 1992, Crater Peak/Spurr eruption, the SSM/I-based estimate of ash fallout mass (1.3 × 109 − 3 × 1010 kg) was 4%–85% of the mass fallout measured in the field. Like weather radar systems, the SSM/I offers the ability to sense young volcanic ash clouds during and immediately following (within 30 min) actual eruptions. Because most volcanoes are out of range of weather radar systems, the SSM/I may be an important tool for determining the magnitude, initial trajectory, and potential fallout mass of eruptions. The SSM/I may therefore play a role in mitigating volcanic cloud hazards for aircraft, determining masses where ground sampling is not possible, and in issuing fallout warnings for communities downwind of volcanic eruptions

Large-Scale Whole Genome Sequence Analysis of >22,000 Subjects Provides no Evidence of FMR1 Premutation Allele Involvement in Autism Spectrum Disorder

Expansion of a CGG repeat in the Fragile X Messenger Ribonucleoprotein 1 (FMR1) gene on the X chromosome is the cause of Fragile X Syndrome (FXS). The repeat length of unaffected individuals varies between 5–40 repeats, whereas &gt;200 repeats are observed in cases of FXS. The intermediate range between 55–200 repeats is considered the premutation range and is observed in roughly 1:300 females and 1:900 males in the general population. With the availability of large-scale whole genome sequence (WGS) data and the development of computational tools to detect repeat expansions, we systematically examined the role of FMR1 premutation alleles in autism spectrum disorder (ASD) susceptibility, assess the prevalence, and consider the allelic stability between parents and offspring. We analyzed the WGS data of 22,053 subjects, including 32 FXS positive controls, 1359 population controls, and 5467 ASD families. We observed no FMR1 full mutation range repeats among the ASD parent-offspring families but identified 180 family members with premutation range alleles, which represents a higher prevalence compared to the independent WGS control sample and previous reports in the literature. A sex-specific analysis between probands and unaffected siblings did not reveal a significant increase in the burden of premutation alleles in either males or females with ASD. PCR validation, however, suggests an overestimation of the frequency of FMR1 premutation range alleles through computational analysis of WGS data. Overall, we show the utility of large-scale repeat expansion screening in WGS data and conclude that there is no apparent evidence of FMR1 premutation alleles contributing to ASD susceptibility.</p