115 research outputs found
Data-Based Risk Assessment of Cancer Diseases for Life Insurance
Using US cancer registry data of SEER (Surveillance, Epidemiology, and End Results Program), data based analyses of prevalence, incidence, and survival rates are able for the medical risk assessment in life insurance. Statistical analyses of cancer patients and base population were performed using SEER*Stat from the US National Cancer Institute. The system provides multivariate restrictions of patient groups and subdivisions of outcomes. The lecture focuses on survival time analyses and additional calculations for the outcome of extra mortality rates of cancer patients in relation to base population. Based on these extra mortality rates, principles of underwriting decisions in life insurance will be presented
Broker Models for Mass Customization Based Electronic Commerce
While the competitive advantage of mass customization has been widely substantiated in management theory since more than a decade, its implementation in business can be observed just within the last years. In this paper we demonstrate how modern Internet technologies and possibilities of e-business work as success factors for mass customization. Especially, we deploy how intermediaries can add new value to mass customization based business models in electronic commerce
Математическое моделирование волны горения СВ-синтеза функциональных материалов для ядерной техники
Helios spacecraft data revisited: Detection of cometary meteoroid trails by in-situ dust impacts
Cometary meteoroid trails exist in the vicinity of comets, forming fine
structure of the interplanetary dust cloud. The trails consist predominantly of
cometary particles with sizes of approximately 0.1 mm to 1 cm which are ejected
at low speeds and remain very close to the comet orbit for several revolutions
around the Sun. When re-analysing the Helios dust data measured in the 1970s,
Altobelli et al. (2006) recognized a clustering of seven impacts, detected in a
very narrow region of space at a true anomaly angle of 135 deg, which the
authors considered as potential cometary trail particles. We re-analyse these
candidate cometary trail particles to investigate the possibility that some or
all of them indeed originate from cometary trails and we constrain their source
comets. The Interplanetary Meteoroid Environment for eXploration (IMEX) dust
streams in space model is a new universal model for cometary meteoroid streams
in the inner solar system, developed by Soja et al. (2015). Using IMEX we study
cometary trail traverses by Helios. During ten revolutions around the Sun, and
in the narrow region of space where Helios detected the candidate dust
particles, the spacecraft repeatedly traversed the trails of comets
45P/Honda-Mrkos-Pajduvsakova and 72P/Denning-Fujikawa. Based on the detection
times and particle impact directions, four detected particles are compatible
with an origin from these two comets. We find a dust spatial density in these
trails of about 10^-8 to 10^-7 m^-3. The in-situ detection and analysis of
meteoroid trail particles which can be traced back to their source bodies by
spacecraft-based dust analysers opens a new window to remote compositional
analysis of comets and asteroids without the necessity to fly a spacecraft to
or even land on those celestial bodies. This provides new science opportunities
for future missions like Destiny+, Europa Clipper and IMAP.Comment: 13 pages, 9 Figures, 2 Tables, accepted for pubication by Astronomy
and Astrophysic
Childhood primary large vessel CNS vasculitis: single-centre experience and review of the literature
Total OH reactivity measurements aboard the Zeppelin NT during the PEGASOS campaign 2012: Contributions of substance classes to the total OH reactivity
Kinetic Energy Decay Rates of Supersonic and Super-Alfvenic Turbulence in Star-Forming Clouds
We present numerical studies of compressible, decaying turbulence, with and
without magnetic fields, with initial rms Alfven and Mach numbers ranging up to
five, and apply the results to the question of the support of star-forming
interstellar clouds of molecular gas. We find that, in 1D, magnetized
turbulence actually decays faster than unmagnetized turbulence. In all the
regimes that we have studied 3D turbulence-super-Alfvenic, supersonic,
sub-Alfvenic, and subsonic-the kinetic energy decays as (t-t0)^(-x), with 0.85
< x < 1.2. We compared results from two entirely different algorithms in the
unmagnetized case, and have performed extensive resolution studies in all
cases, reaching resolutions of 256^3 zones or 350,000 particles. We conclude
that the observed long lifetimes and supersonic motions in molecular clouds
must be due to external driving, as undriven turbulence decays far too fast to
explain the observations.Comment: Submitted to Phys. Rev. Letters, 29 Nov. 1997. 10 pages, 2 figures,
also available from http://www.mpia-hd.mpg.de/theory/preprints.html#maclo
Lung disease caused by ABCA3 mutations
Background Knowledge about the clinical spectrum of lung disease caused by variations in the ATP binding cassette subfamily A member 3 (ABCA3) gene is limited. Here we describe genotype-phenotype correlations in a European cohort. Methods We retrospectively analysed baseline and outcome characteristics of 40 patients with two disease-causing ABCA3 mutations collected between 2001 and 2015. Results Of 22 homozygous (15 male) and 18 compound heterozygous patients (3 male), 37 presented with neonatal respiratory distress syndrome as term babies. At follow-up, two major phenotypes are documented: patients with (1) early lethal mutations subdivided into (1a) dying within the first 6 months or (1b) before the age of 5 years, and (2) patients with prolonged survival into childhood, adolescence or adulthood. Patients with null/null mutations predicting complete ABCA3 deficiency died within the 1st weeks to months of life, while those with null/other or other/other mutations had a more variable presentation and outcome. Treatment with exogenous surfactant, systemic steroids, hydroxychloroquine and whole lung lavages had apparent but many times transient effects in individual subjects. Conclusions Overall long-term (>5 years) survival of subjects with two disease-causing ABCA3 mutations was <20%. Response to therapies needs to be ascertained in randomised controlled trials
Stiftungen in Christentum, Judentum und Islam vor der Moderne
Stiftungen sind ein Phänomen der Universalgeschichte. In der jüngeren deutschen Mediävistik wird anstelle des früher gebräuchlichen, oft anachronistischen und historisch zu wenig flexiblen juristischen mit einem sozial- und kulturwissenschaftlichen Deutungsansatz gearbeitet. Auf der Berliner Tagung vom Juni 2003 wurde der Versuch gemacht zu überprüfen, ob und inwiefern diese Charakteristik der Stiftung, die auf Studien vornehmlich zum "abendländischen" (lateinischen) Stiftungswesen beruht, auch auf andere Kulturen anwendbar ist
Data-driven analysis of interactions between people with dementia and a tablet device
Abstract
In the project I-CARE a technical system for tablet devices is developed that captures the personal needs and skills of people with dementia. The system provides activation content such as music videos, biographical photographs and quizzes on various topics of interest to people with dementia, their families and professional caregivers. To adapt the system, the activation content is adjusted to the daily condition of individual users. For this purpose, emotions are automatically detected through facial expressions, motion, and voice. The daily interactions of the users with the tablet devices are documented in log files which can be merged into an event list. In this paper, we propose an advanced format for event lists and a data analysis strategy. A transformation scheme is developed in order to obtain datasets with features and time series for popular methods of data mining. The proposed methods are applied to analysing the interactions of people with dementia with the I-CARE tablet device. We show how the new format of event lists and the innovative transformation scheme can be used to compress the stored data, to identify groups of users, and to model changes of user behaviour. As the I-CARE user studies are still ongoing, simulated benchmark log files are applied to illustrate the data mining strategy. We discuss possible solutions to challenges that appear in the context of I-CARE and that are relevant to a broad range of applications.</jats:p
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